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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">AJOD</journal-id>
<journal-title-group>
<journal-title>African Journal of Disability</journal-title>
</journal-title-group>
<issn pub-type="ppub">2223-9170</issn>
<issn pub-type="epub">2226-7220</issn>
<publisher>
<publisher-name>AOSIS</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">AJOD-11-1004</article-id>
<article-id pub-id-type="doi">10.4102/ajod.v11i0.1004</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Provision and use of physical rehabilitation services for adults with disabilities in Rwanda: A descriptive study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1871-7416</contrib-id>
<name>
<surname>Kumurenzi</surname>
<given-names>Anne</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
<xref ref-type="aff" rid="AF0002">2</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6356-0492</contrib-id>
<name>
<surname>Richardson</surname>
<given-names>Julie</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-0355-9734</contrib-id>
<name>
<surname>Thabane</surname>
<given-names>Lehana</given-names>
</name>
<xref ref-type="aff" rid="AF0003">3</xref>
<xref ref-type="aff" rid="AF0004">4</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8546-5047</contrib-id>
<name>
<surname>Kagwiza</surname>
<given-names>Jeanne</given-names>
</name>
<xref ref-type="aff" rid="AF0002">2</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1001-1443</contrib-id>
<name>
<surname>Musabyemariya</surname>
<given-names>Ines</given-names>
</name>
<xref ref-type="aff" rid="AF0005">5</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6292-4207</contrib-id>
<name>
<surname>Bosch</surname>
<given-names>Jackie</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
<xref ref-type="aff" rid="AF0004">4</xref>
</contrib>
<aff id="AF0001"><label>1</label>Department of Rehabilitation Sciences, Faculty of Health Sciences, McMaster University, Hamilton, Canada</aff>
<aff id="AF0002"><label>2</label>Department of Physiotherapy, Faculty of Health Sciences, University of Rwanda, Kigali, Rwanda</aff>
<aff id="AF0003"><label>3</label>Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, Canada</aff>
<aff id="AF0004"><label>4</label>Population Health Research Institute, McMaster University, Hamilton, Canada</aff>
<aff id="AF0005"><label>5</label>Functional Rehabilitation Programme, Humanity and Inclusion, Kigali, Rwanda</aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><bold>Corresponding author:</bold> Anne Kumurenzi, <email xlink:href="kumurena@mcmaster.ca">kumurena@mcmaster.ca</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>30</day><month>08</month><year>2022</year></pub-date>
<pub-date pub-type="collection"><year>2022</year></pub-date>
<volume>11</volume>
<elocation-id>1004</elocation-id>
<history>
<date date-type="received"><day>31</day><month>12</month><year>2021</year></date>
<date date-type="accepted"><day>04</day><month>05</month><year>2022</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2022. The Authors</copyright-statement>
<copyright-year>2022</copyright-year>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License.</license-p>
</license>
</permissions>
<abstract>
<sec id="st1">
<title>Background</title>
<p>Physical rehabilitation interventions address functional deficits caused by impairments that affect someone&#x2019;s performance. Whilst rehabilitation is important, it is assumed that these services are either minimal or nonexistent in low-resource settings. Our data expand on the data from the Situation Assessment of Rehabilitation in the Republic of Rwanda report to describe rehabilitation services and who access them at public and semiprivate facilities (primarily funded by the private sector).</p>
</sec>
<sec id="st2">
<title>Objectives</title>
<p>This article describes the use of the outpatient physical rehabilitation services across nine health facilities, the characteristics of adults attending these health facilities and some of the facilitators and barriers they encounter when attending rehabilitation.</p>
</sec>
<sec id="st3">
<title>Method</title>
<p>Data were collected between September and December 2018 from the heads of departments and adult patients attending outpatient rehabilitation services funded by the government, international nongovernmental organisations or faith-based organisations.</p>
</sec>
<sec id="st4">
<title>Results</title>
<p>Two hundred and thirteen adults were recruited from nine facilities. There is a sixfold difference in the number of rehabilitation personnel between public and semiprivate hospitals in these facilities&#x2019; catchment areas. However, most participants were recruited at public facilities (186 [87&#x0025;]), primarily with physical disorders. Patients reported that family support (94&#x0025;) was the most crucial facilitator for attending rehabilitation, whilst transportation cost (96&#x0025;) was a significant barrier.</p>
</sec>
<sec id="st5">
<title>Conclusion</title>
<p>Rehabilitation service availability for Rwandan adults with disabilities is limited. Whilst family support helps patients attend rehabilitation, transportation costs remain a significant barrier to people attending rehabilitation. Strategies to address these issues include developing triage protocols, training community health workers and families.</p>
</sec>
<sec id="st6">
<title>Contribution</title>
<p>Data on rehabilitation service provision in Rwanda and most African countries are either non-existent or very limited. These data contain important information regarding the services provided and the people who used them across different health facilities (public versus private) and urban versus rural settings). To improve rehabilitation service provision, we first need to understand the current situation. These data are an important step to better understanding rehabilitation in Rwanda.</p>
</sec>
</abstract>
<kwd-group>
<kwd>adults</kwd>
<kwd>disabilities</kwd>
<kwd>physical rehabilitation</kwd>
<kwd>outpatient services</kwd>
<kwd>health facilities</kwd>
<kwd>descriptive study</kwd>
<kwd>Rwanda</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s0001">
<title>Introduction</title>
<p>Adult physical functioning is affected by a variety of health conditions, such as noncommunicable diseases (NCDs) or injuries (Manini <xref ref-type="bibr" rid="CIT0028">2012</xref>). Noncommunicable diseases are increasing in prevalence worldwide and particularly in low- and middle-income countries (Gimigliano &#x0026; Negrini <xref ref-type="bibr" rid="CIT0015">2017</xref>; World Health Organization [WHO] <xref ref-type="bibr" rid="CIT0065">2017</xref>). Despite the growing burden of physical disabilities in low- and middle-income countries (Jesus, Landry &#x0026; Hoenig <xref ref-type="bibr" rid="CIT0022">2019</xref>; Jesus et al. <xref ref-type="bibr" rid="CIT0020">2021</xref>), which more than doubled from 1990 to 2017 in low-income countries (Jesus et al. <xref ref-type="bibr" rid="CIT0022">2019</xref>), the provision of rehabilitation is limited in many low- and middle-income countries (Bright, Wallace &#x0026; Kuper <xref ref-type="bibr" rid="CIT0011">2018</xref>). Physical rehabilitation interventions optimise function and minimise physical disability for those whose physical impairments affect performance (Bowker et al. <xref ref-type="bibr" rid="CIT0009">2006</xref>, 2011, 2017), with the intent to equip people to live to their maximum potential and optimise their contribution to family, community and society (Wade <xref ref-type="bibr" rid="CIT0058">2020</xref>; Bowker et al. <xref ref-type="bibr" rid="CIT0009">2006</xref>). In high-income countries, physical rehabilitation is usually provided by credentialed, skilled health professionals, such as but not limited to rehabilitation physicians, psychologists, physiotherapist (PTs), occupational therapist (OTs), speech and language therapists (SLTs), prosthetists and orthotists (P&#x0026;Os) and nurses. Despite the importance of these services, the demand for these services in many low- and middle-income countries exceeds their human resources, leading to continued poor functional outcomes (Bright et al. <xref ref-type="bibr" rid="CIT0010">2018</xref>; Jesus et al. <xref ref-type="bibr" rid="CIT0022">2019</xref>; Jesus et al. <xref ref-type="bibr" rid="CIT0020">2021</xref>; Prynn &#x0026; Kuper <xref ref-type="bibr" rid="CIT0044">2019</xref>). As a result, the demand for these services exceeds the resources (Bright &#x0026; Kuper <xref ref-type="bibr" rid="CIT0010">2018</xref>; Bright et al. <xref ref-type="bibr" rid="CIT0011">2018</xref>; Prynn &#x0026; Kuper <xref ref-type="bibr" rid="CIT0044">2019</xref>), leading to continued poor functional outcomes.</p>
<p>In response to the growing need for rehabilitation, in 2017, the World Health Organization (WHO) launched the Rehabilitation 2030 initiative. This initiative brought together an international group of key stakeholders in rehabilitation service provision to develop strategies and action plans to provide quality and timely rehabilitation worldwide, particularly in low- and middle-income countries with limited rehabilitation services and the greatest need (Gimigliano &#x0026; Negrini <xref ref-type="bibr" rid="CIT0015">2017</xref>). These countries were urged to collect data on rehabilitation needs and services and the accessibility and availability of services to guide the efficient implementation of quality services (WHO <xref ref-type="bibr" rid="CIT0065">2017</xref>). Evidence on disability and rehabilitation data is an important first step in understanding the needs and gaps in rehabilitation service provision to develop efficient solutions (Gimigliano &#x0026; Negrini <xref ref-type="bibr" rid="CIT0015">2017</xref>; WHO <xref ref-type="bibr" rid="CIT0064">2014</xref>).</p>
<p>Rwanda is a low-income country in central east Africa with 13.4 million people, which has been projected to increase to 16.9 million by 2023. Life expectancy is 70 years for women and 66 years for men (Vollset et al. <xref ref-type="bibr" rid="CIT0057">2020</xref>). According to a 2012 census, 5&#x0025; of Rwandans aged 5 years or older have a disability, in which 80&#x0025; of those with a disability are 18 years or older, almost 90&#x0025; live in rural settings and 25&#x0025; report mobility limitations (walking or climbing) (National Institute of Statistics of Rwanda &#x0026; Ministry of Finance and Economic Planning-Rwanda <xref ref-type="bibr" rid="CIT0036">2014</xref>). In a more recent 2019&#x2013;2020 survey, 14&#x0025; of Rwandans aged 5 years or older reported at least one functional limitation, in which 69&#x0025; of those with a functional limitation are 18 years or older (National Institute of Statistics of Rwanda Kigali, Rwanda Ministry of Health Kigali, Rwanda &#x0026; The DHS Program ICF <xref ref-type="bibr" rid="CIT0037">2021</xref>). Therefore, the number of adults in Rwanda with disabilities seems to be increasing.</p>
<p>Rwandan disability rates are similar to estimates from other African countries (e.g., 7.5&#x0025; in South Africa in 2011) (Statistics South Africa <xref ref-type="bibr" rid="CIT0053">2014</xref>), but much lower than the Westernised rates (e.g., 22.0&#x0025; in Canada in 2017) (Morris et al. <xref ref-type="bibr" rid="CIT0035">2018</xref>). Whilst both the Rwandan and South African estimates indicate there are fewer persons with disabilities, it is likely that both these estimates are inaccurate. There is a greater stigma associated with disability in African countries (Loeb <xref ref-type="bibr" rid="CIT0026">2013</xref>; M&#x2019;Kumbuzi et al. <xref ref-type="bibr" rid="CIT0033">2014</xref>); therefore, persons with disabilities may be reluctant to self-identify themselves as having a disability (Loeb <xref ref-type="bibr" rid="CIT0026">2013</xref>). With increasing life expectancy and prevalence of NCDs in Rwanda, it is quite possible that actual prevalence rates for disability are at least as high as Western countries (Alleyne et al. <xref ref-type="bibr" rid="CIT0002">2013</xref>; Asiimwe-Kateera et al. <xref ref-type="bibr" rid="CIT0004">2015</xref>; Tapela et al. <xref ref-type="bibr" rid="CIT0054">2015</xref>).</p>
<p>In 2007, Rwanda put in effect Law no. 01/2007 of 20 January 2007 relating to the protection of persons with disabilities, with the intent of creating more inclusivity for person with disability (Rwandan Ministry of Justice <xref ref-type="bibr" rid="CIT0030">2009</xref>). However, the law was based on a medical model of disability, limiting the understanding of disability to the issues associated with the person and ignoring the role of structures (e.g., environment, systems). In 2021, the Ministry of Local Government issued the National Policy of Persons with Disability and Four Years Strategic Plan (2021&#x2013;2024).<xref ref-type="fn" rid="FN0001"><sup>1</sup></xref> This policy is based on a social model of disability to indicate a shift in thinking towards disability in Rwanda. Whilst the plan is a big step in the right direction, it focuses on children with disability. The increasing prevalence of NCDs in Rwanda (Alleyne et al. <xref ref-type="bibr" rid="CIT0002">2013</xref>; Asiimwe-Kateera et al. <xref ref-type="bibr" rid="CIT0004">2015</xref>; Tapela et al. <xref ref-type="bibr" rid="CIT0054">2015</xref>) and the resultant disability are not a consideration. Rehabilitation services for adults with disabilities in Rwanda may begin in the acute hospital setting; however, a large number of patients are likely to be discharged without rehabilitation (Rhoda et al. <xref ref-type="bibr" rid="CIT0046">2015</xref>). This is regardless of the level of disability. To further add to the problem, community-based services are extremely limited. To adequately and efficiently address the rehabilitation needs of those with a disability in Rwanda, we first need to better understand more accurate and comprehensive estimates of the prevalence of disability in Rwanda to predict rehabilitation resource needs accurately.</p>
<p>In Rwanda, the healthcare sector is organised around national referral or university teaching hospitals, provincial referral hospitals, district hospitals, primary health centres (PHCs) and health posts (<xref ref-type="fig" rid="F0004">Figure 1-A1</xref>). Physical rehabilitation services are available at public and private hospitals and at semiprivate specialised rehabilitation centres. Semiprivate facilities are funded primarily by the international non-governmental organisations (INGOs), such as Humanity &#x0026; Inclusion (HI) and International Committee of Red Cross (ICRC), or faith-based organisations (FBOs), such as Christian Blind Mission. For more than 2.86 million Rwandans with a disability, publicly funded rehabilitation services are available at 53 hospitals: (1) 4 national referral or teaching, (2) 7 provincial or referral and (3) 42 district hospitals. In addition, those who can pay for specialised physical rehabilitation services are available at four semiprivate rehabilitation centres (<xref ref-type="fig" rid="F0004">Figure 1-A1</xref>; Ministry of Health <xref ref-type="bibr" rid="CIT0031">2018</xref>).</p>
<p>About half of Rwanda&#x2019;s population is over the age of 18 years (7 208 063 out of 13 411 153 people).<xref ref-type="fn" rid="FN0002"><sup>2</sup></xref> Therefore, suppose we conservatively estimate that 15&#x0025; of Rwandan adults have a disability. In that case, roughly 1 000 000 Rwandan adults have access to 57 centres (including those not publicly funded) for rehabilitation interventions or approximately 17 500 persons with disabilities per centre.</p>
<p>Physiotherapy (PT) services are available at 53 hospitals and the 4 semiprivate specialised rehabilitation centres. According to the Rwanda Allied Health Professional Council (RAHPC), 360 PTs are registered to practice in Rwanda (<xref ref-type="table" rid="T0001">Table 1</xref>), 88 of whom are employed at public facilities (Ministry of Health-Rwanda <xref ref-type="bibr" rid="CIT0032">2021</xref>), whilst the others likely work in private hospitals or INGOs. In 2019, there were 0.26 PTs per 10 000 people in Rwanda (WCPT <xref ref-type="bibr" rid="CIT0061">2019b</xref>), compared with 1.4 PTs per 10 000 people in South Africa (WCPT <xref ref-type="bibr" rid="CIT0060">2019a</xref>) and 6.6 PTs per 10 000 people in Canada (Canada Conference Board <xref ref-type="bibr" rid="CIT0012">2017</xref>). The number of PTs in Rwanda is far less than in other countries. Prosthetic and orthotic services are available at four public hospitals and at four specialised rehabilitation centres. According to the RAHPC, 68 P&#x0026;Os are registered to practice, with 31 employed primarily in settings supported by INGOs. There are 0.05 P&#x0026;Os per 10 000 people, which is precisely the minimum of 5 per one million (0.05 per 10 000 people) suggested by the Global Standards for Prosthetics and Orthotics (Lemaire, Supan &#x0026; Ortiz <xref ref-type="bibr" rid="CIT0023">2018</xref>).</p>
<table-wrap id="T0001">
<label>TABLE 1a</label>
<caption><p>Distribution of rehabilitation services by funding source and type of health facility.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Funding source</th>
<th valign="top" align="left" rowspan="2">Type of facility</th>
<th valign="top" align="center" rowspan="2">Total no.&#x002A; of facilities in Rwanda</th>
<th valign="top" align="center" rowspan="2">Sample for the current study</th>
<th valign="top" align="left" rowspan="2">Facilities sampled</th>
<th valign="top" align="center" colspan="3">No<xref ref-type="table-fn" rid="TFN0001">&#x2020;</xref> of staff<hr/></th>
<th valign="top" align="center" rowspan="2">Catchment area</th>
<th valign="top" align="center" rowspan="2">Rehab Staff per 10 000 in catchment</th>
</tr>
<tr>
<th valign="top" align="center">PTs<xref ref-type="table-fn" rid="TFN0001">&#x2020;</xref></th>
<th valign="top" align="center">P&#x0026;Os<xref ref-type="table-fn" rid="TFN0001">&#x2020;</xref></th>
<th valign="top" align="center">OTs<xref ref-type="table-fn" rid="TFN0001">&#x2020;</xref></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="6" valign="top">Public hospitals (some private funding but primarily government<xref ref-type="table-fn" rid="TFN0001">&#x2020;</xref>)</td>
<td align="left" rowspan="2" valign="top">Tertiary National referral university teaching hospitals</td>
<td align="center" rowspan="2">4</td>
<td align="center" rowspan="2">2</td>
<td align="left">Kigali University Teaching Hospital</td>
<td align="center">9</td>
<td align="center">4</td>
<td align="center">0</td>
<td align="center">750 000</td>
<td align="center">0.2</td>
</tr>
<tr>
<td align="left">Rwanda Military Hospital</td>
<td align="center">12</td>
<td align="center">0</td>
<td align="center">2</td>
<td align="center">750 000</td>
<td align="center">0.2</td>
</tr>
<tr>
<td align="left" rowspan="3" valign="top">District hospitals</td>
<td align="center" rowspan="3" valign="top">42</td>
<td align="center" rowspan="3" valign="top">3</td>
<td align="left">Kabgayi Hospital</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">200 000</td>
<td align="center">0.1</td>
</tr>
<tr>
<td align="left">Murunda Hospital</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">150 000</td>
<td align="center">0.1</td>
</tr>
<tr>
<td align="left">Masaka Hospital</td>
<td align="center">3</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">200 000</td>
<td align="center">0.2</td>
</tr>
<tr>
<td align="left">Total</td>
<td align="center">46</td>
<td align="center">5</td>
<td align="left">-</td>
<td align="center">28</td>
<td align="center">4</td>
<td align="center">2</td>
<td align="center">2 050 000</td>
<td align="center">0.2</td>
</tr>
<tr>
<td align="left" rowspan="5" valign="top">Semiprivate facilities (some government funding but primarily private)</td>
<td align="left">Specialised hospitals</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="left">Inkurunziza Orthopedic Hospital</td>
<td align="center">6</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">100 000</td>
<td align="center">0.8</td>
</tr>
<tr>
<td align="left" rowspan="3" valign="top">Semiprivate rehab centres</td>
<td align="center" rowspan="3" valign="top">4</td>
<td align="center" rowspan="3" valign="top">3</td>
<td align="left">Gahini Rehab Centre</td>
<td align="center">9</td>
<td align="center">3</td>
<td align="center">5</td>
<td align="center">150 000</td>
<td align="center">1.1</td>
</tr>
<tr>
<td align="left">Rilima Rehab Centre</td>
<td align="center">7</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">80 000</td>
<td align="center">1.0</td>
</tr>
<tr>
<td align="left">Gatagara Rehab Centre</td>
<td align="center">13</td>
<td align="center">6</td>
<td align="center">1</td>
<td align="center">100 000</td>
<td align="center">2.0</td>
</tr>
<tr>
<td align="left">Total</td>
<td align="center">6</td>
<td align="center">4</td>
<td align="left">-</td>
<td align="center">35</td>
<td align="center">12</td>
<td align="center">6</td>
<td align="center">430 000</td>
<td align="center">1.2</td>
</tr>
<tr>
<td align="left"><bold>Total (public and semiprivate)</bold></td>
<td align="left">-</td>
<td align="center"><bold>48</bold></td>
<td align="center"><bold>9</bold></td>
<td align="left"><bold>-</bold></td>
<td align="center"><bold>63</bold></td>
<td align="center"><bold>16</bold></td>
<td align="center"><bold>8</bold></td>
<td align="center"><bold>2 480 000</bold></td>
<td align="center"><bold>0.4</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>No., number; MOH, Ministry of Health; HI, Humanity &#x0026; Inclusion; PTs, physiotherapists; P&#x0026;Os, prosthetists and orthotists; OTs, occupational therapists. Catchment area is the area from which patients at the public hospital are drawn considering only the adult population and private facilities, the proportion within the area who can pay the required fees.</p></fn>
<fn id="TFN0001"><label>&#x2020;</label><p>, This is an estimate of those who would need rehabilitation services in the area and does not consider the number who could pay for the services. Therefore, the number of people who can access semiprivate services is considerably less.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The occupational therapy programme began at the University of Rwanda in 2014, and there are now occupational therapists (OTs) at one public hospital and two specialised rehabilitation centres. Twenty-six OTs are practicing in Rwanda, with most OTs (<italic>n</italic> = 24) employed in settings supported by INGOs, such as schools and refugee camps. There are 0.02 OTs per 10 000 Rwandans, which is lower than the minimum of 750 per one million (7.5 per 10 000 people) suggested by the World Federation of Occupational Therapists (WHO <xref ref-type="bibr" rid="CIT0065">2017</xref>). Speech and language therapists are nearly absent and available at only one private tertiary hospital and one semiprivate specialised rehabilitation centre. There are no speech language therapy programmes in the country. Representative of most African countries, Rwanda does not have rehabilitation services at the PHCs (Ministry of Health-Rwanda <xref ref-type="bibr" rid="CIT0032">2021</xref>).</p>
<p>In 2021, the Rwandan Ministry of Health (MoH), in collaboration with the WHO, the United States Agency International Development and the ICRC published a report on the Situation Assessment of Rehabilitation in the Republic of Rwanda. This report describes the insufficient and nonexistent rehabilitation services in Rwanda (Ministry of Health-Rwanda <xref ref-type="bibr" rid="CIT0032">2021</xref>). However, prior to this report, the MoH has proposed a new employment health structure that will integrate two PTs per PHC, one P&#x0026;O per district hospital and one OT and one SLT employed at each referral and provincial hospital (Official Gazette <xref ref-type="bibr" rid="CIT0042">2020</xref>) for the first time. However, the progress of implementing the new employment health structure is taking time.</p>
<p>In addition to a lack of funding for rehabilitation service provision, there are issues unique to low- and middle-income countries compounding difficulties in accessing services. These include transportation expenses because of long travel distances to rehabilitation facilities, long waiting times for appointments and limited knowledge of the available services, both by the public and private personnel (Aenish&#x00E4;nslin, Amara &#x0026; Magnusson <xref ref-type="bibr" rid="CIT0001">2020</xref>; Baart &#x0026; Taaka <xref ref-type="bibr" rid="CIT0005">2018</xref>; Hamid et al. <xref ref-type="bibr" rid="CIT0016">2017</xref>; Rhoda et al. <xref ref-type="bibr" rid="CIT0046">2015</xref>; Zziwa et al. <xref ref-type="bibr" rid="CIT0067">2019</xref>). The four semiprivate specialised rehabilitation centres in Rwanda are intended as a national resource for all individuals; however, there is an additional cost for these services, which further limits access (Ministry of Health-Rwanda <xref ref-type="bibr" rid="CIT0032">2021</xref>). These facilities have well-established rehabilitation services for children; however, few are tailored to adults (Ministry of Health-Rwanda <xref ref-type="bibr" rid="CIT0032">2021</xref>). As a result, adults with complex needs such as stroke, traumatic brain injuries and spinal cord injuries are discharged from acute wards to attend outpatient rehabilitation at a district hospital or in the community, where these services are either insufficient or nonexistent.</p>
<p>With limited human resources to provide rehabilitation interventions, it is imperative to allocate existing rehabilitation resources based on the population&#x2019;s needs. The data available on the Rwandan needs for healthcare services are primarily on access to healthcare services for children and those with mental health issues (Hategeka, Arsenault &#x0026; Kruk <xref ref-type="bibr" rid="CIT0017">2020</xref>; Rugema et al. <xref ref-type="bibr" rid="CIT0048">2015</xref>; Ng &#x0026; Harerimana <xref ref-type="bibr" rid="CIT0039">2016</xref>; Smith et al. <xref ref-type="bibr" rid="CIT0052">2017</xref>; Wanyana, Wong &#x0026; Hakizimana <xref ref-type="bibr" rid="CIT0059">2021</xref>). The lack of data on rehabilitation needs of adults with disabilities, despite a growing need because of increased survival rates for those with NCDs (cardiovascular diseases [hypertension, stroke], diabetes, cancer) (Alleyne et al. <xref ref-type="bibr" rid="CIT0002">2013</xref>; Asiimwe-Kateera et al. <xref ref-type="bibr" rid="CIT0004">2015</xref>; Tapela et al. <xref ref-type="bibr" rid="CIT0054">2015</xref>), makes efficient resource allocation impossible.</p>
<p>To address the lack of these data, HI, an INGO that provides rehabilitation services for adults and children in Rwanda, conducted a survey to understand costs associated with the provision of outpatient rehabilitation services. Using the data from HI on adults accessing rehabilitation services, we conducted a secondary data analysis to describe the type of rehabilitation services provided, the characteristics of people who use these services and the facilitators and barriers for people to access these services.</p>
<p>This article describes the outpatient physical rehabilitation services at nine facilities in Rwanda. We describe the rehabilitation services by funding source (public or semiprivate) and geographical locations (urban or rural). Finally, we use patient-level data to describe the people that use these services and some patients&#x2019; facilitators and barriers to attending rehabilitation.</p>
</sec>
<sec id="s0002">
<title>Research methods and design</title>
<sec id="s20003">
<title>Study design</title>
<p>Humanity &#x0026; Inclusion developed, funded and implemented a cross-sectional survey to understand the cost of rehabilitation services in Rwanda. From September to December 2018, in collaboration with the MoH and the National Commission of Persons with Disabilities, HI conducted the survey across 12 rehabilitation facilities supported by public and INGOs or FBOs in both urban and rural settings. However, this article presents data from nine facilities amongst adults with disabilities.</p>
</sec>
<sec id="s20004">
<title>Setting</title>
<p>The 12 health facilities that provide rehabilitation services were purposively selected. These facilities were selected based on the representation of levels of the health system pyramid (<xref ref-type="fig" rid="F0004">Figure 1-A1</xref>), two public university teaching hospitals, one public provincial hospital, two public district hospitals and four semiprivate rehabilitation centres. Facilities were also selected if they offered one of the physical rehabilitation services (PT, P&#x0026;O, OT and SLT) and were supported by HI (funding to support service implementation for private facilities and provision of equipment for public facilities). This article includes data from only 9 facilities (as presented in <xref ref-type="fig" rid="F0001">Figure 1</xref>), in which the remaining 3 of the 12 facilities are specialised for children only.</p>
<fig id="F0001">
<label>FIGURE 1</label>
<caption><p>The number of recruited participants at each facility, divided into public versus semi-private facilities and urban versus rural areas.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJOD-11-1004-g001.tif"/>
</fig>
</sec>
<sec id="s20005">
<title>Study population</title>
<p>From September to December 2018, children and adults with disabilities were randomly selected by site champions across the 12 selected health facilities. All persons with disabilities or caregivers or parents or caregivers of children under 18 years old who agreed to participate and were present when data collectors were at the health facilities were recruited. Of the 385 participants recruited across 12 facilities, this article focuses on the data obtained from 213 adult respondents (18 years or older) with disabilities across 9 facilities. Data on service provision were obtained from the heads of departments.</p>
<p>To calculate the overall sample size required across the facilities to answer questions on cost-effectiveness, the Cochran&#x2019;s formula was used as follows:</p>
<disp-formula id="FD1"><alternatives><mml:math display="block" id="M1"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:msup><mml:mi>Z</mml:mi><mml:mn>2</mml:mn></mml:msup><mml:mo>&#x002A;</mml:mo><mml:mi>p</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:mn>1</mml:mn><mml:mo>&#x2212;</mml:mo><mml:mi>p</mml:mi><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mrow><mml:msup><mml:mi>d</mml:mi><mml:mn>2</mml:mn></mml:msup></mml:mrow></mml:mfrac></mml:mrow></mml:math><graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJOD-11-1004-e001.tif"/></alternatives><label>[Eqn 1]</label></disp-formula>
<p>(where <italic>z</italic> = z-score for the standard normal distribution at the significance level of 95&#x0025;, <italic>p</italic> = anticipated proportion of people having access to rehabilitation service (50&#x0025;) and &#x03B4; = desired precision [5&#x0025;]):</p>
<disp-formula id="FD2"><alternatives><mml:math display="block" id="M2"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mfrac><mml:mrow><mml:msup><mml:mrow><mml:mn>1.96</mml:mn></mml:mrow><mml:mn>2</mml:mn></mml:msup><mml:mo>&#x002A;</mml:mo><mml:mn>0.50</mml:mn><mml:mo stretchy="false">(</mml:mo><mml:mn>1</mml:mn><mml:mo>&#x2212;</mml:mo><mml:mn>0.50</mml:mn><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mrow><mml:msup><mml:mrow><mml:mn>0.50</mml:mn></mml:mrow><mml:mn>2</mml:mn></mml:msup></mml:mrow></mml:mfrac><mml:mo>=</mml:mo><mml:mn>385</mml:mn><mml:mtext>&#x2009;participants</mml:mtext></mml:mrow></mml:math><graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJOD-11-1004-e002.tif"/></alternatives><label>[Eqn 2]</label></disp-formula>
<p>Data were collected on 385 participants; however, data for this article included only the adults with disabilities who completed the survey (<italic>n</italic> = 213 participants) across 9 facilities.</p>
</sec>
<sec id="s20006">
<title>Data collection</title>
<p>The Improved Financial Access to Rehabilitation Services Diagnostics Tool (iFAR), a tool developed for use in low- and middle-income countries (Beguin &#x0026; Boisgillot <xref ref-type="bibr" rid="CIT0006">2016</xref>; Boisgillot <xref ref-type="bibr" rid="CIT0007">2020</xref>), provides comprehensive data on the financial status of facilities that provide physical rehabilitation services. It is a 110-item survey that HI developed to understand the rehabilitation services provided and facility&#x2019;s financial viability. It was completed by the heads of departments at each selected facility and by the eligible participants with disabilities attending rehabilitation services at these facilities. This tool was adapted for use in Rwanda by experts in disability and rehabilitation (Boisgillot &#x0026; Umuhoza <xref ref-type="bibr" rid="CIT0008">2020</xref>), and 70 out of the 110 item points were used for this analysis. In addition to the data collected using iFAR, they collected patient-level data (i.e., patient&#x2019;s sex, age, marital status, employment status, type of disability, level of education).</p>
<p>Two health economists (one from Rwanda) and two Rwandan PTs hired by HI coordinated data collection. Participants were recruited by HI research staff between September and December 2018, who were on site three days a week during that period. Data were collected by eight trained rehabilitation professionals using paper-based questionnaires and tablets (where feasible). All data were collected using lists with responses to select from or yes or no responses.</p>
<p>The data collectors participated in a three day training programme that included training on administration of the questionnaire, data collection procedures (recruitment, sampling) and ethical norms in research, particularly data collection. Each selected site had a site champion who was briefed on the type of participants needed for the study. Site champions randomly recruited all participants, and those who agreed to participate were referred to persons administering the survey. Eligible participants who were available during the three days of data collection, and agreed to participate, were recruited for the study. The data from the facilities and patients are presented by the source of funding (public or semiprivate) and geographical location (urban or rural). We were interested in assessing the differences between patients with disabilities who attended public and semiprivate facilities in urban and rural areas. Therefore, the data are presented in two sample proportions.</p>
</sec>
<sec id="s20007">
<title>Data analysis</title>
<p>Descriptive analyses are reported as counts, proportions for all variables and <italic>p</italic>-values for demographic characteristics. All analyses were performed using MS-Excel version 16 and STATA/IC 16 programmes.</p>
</sec>
</sec>
<sec id="s0008">
<title>Results</title>
<p>Data were collected from nine facilities; five (56&#x0025;) were publicly funded, and four (44&#x0025;) were semiprivately funded. The five publicly funded facilities serve an estimated catchment of 2 050 000 million people and included two university teaching hospitals out of four in the country and three district hospitals out of 42. No provincial referral or specialised hospitals were included. The four semiprivate specialised rehabilitation centres funded by the NGOs or FBOs, in the country were all included. These institutions serve an estimated catchment of 430 000 people (<xref ref-type="table" rid="T0001">Table 1a</xref>). Four of the nine facilities were in urban areas (<xref ref-type="table" rid="T0001a">Table 1b</xref>). The population estimates of the catchment area are those who would need rehabilitation services in the area and do not consider the number who could pay for the services. Therefore, the number of people who can access semiprivate services is considerably less.</p>
<table-wrap id="T0001a">
<label>TABLE 1b</label>
<caption><p>Distribution of rehabilitation services by geographical area and type of health facility.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Geographical area</th>
<th valign="top" align="center" rowspan="2">Type of facility</th>
<th valign="top" align="center" rowspan="2">Total no<xref ref-type="table-fn" rid="TFN0002">&#x2020;</xref>. of facilities in Rwanda</th>
<th valign="top" align="center" rowspan="2">Sample for the current study</th>
<th valign="top" align="left" rowspan="2">Facilities sampled</th>
<th valign="top" align="center" colspan="3">No<xref ref-type="table-fn" rid="TFN0002">&#x2020;</xref> of staff<hr/></th>
<th valign="top" align="center" rowspan="2">Catchment area</th>
<th valign="top" align="center" rowspan="2">Rehab Staff per 10 000 in catchment</th>
</tr>
<tr>
<th valign="top" align="center">PTs<xref ref-type="table-fn" rid="TFN0002">&#x2020;</xref></th>
<th valign="top" align="center">P&#x0026;Os<xref ref-type="table-fn" rid="TFN0002">&#x2020;</xref></th>
<th valign="top" align="center">OTs<xref ref-type="table-fn" rid="TFN0002">&#x2020;</xref></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="5" valign="top">Urban</td>
<td align="left" rowspan="2" valign="top">Tertiary National referral university teaching hospitals</td>
<td align="center" rowspan="2" valign="top">4</td>
<td align="center" rowspan="2" valign="top">2</td>
<td align="left">Kigali University Teaching Hospital</td>
<td align="center">9</td>
<td align="center">4</td>
<td align="center">0</td>
<td align="center">750 000</td>
<td align="center">0.2</td>
</tr>
<tr>
<td align="left">Rwanda Military Hospital</td>
<td align="center">12</td>
<td align="center">0</td>
<td align="center">2</td>
<td align="center">750 000</td>
<td align="center">0.2</td>
</tr>
<tr>
<td align="left">District hospitals</td>
<td align="center">10</td>
<td align="center">1</td>
<td align="left">Masaka Hospital</td>
<td align="center">3</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">200 000</td>
<td align="center">0.1</td>
</tr>
<tr>
<td align="left">Specialised hospitals</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="left">Inkurunziza Orthopedic Hospital</td>
<td align="center">6</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">100 000</td>
<td align="center">0.8</td>
</tr>
<tr>
<td align="left">Total</td>
<td align="center">16</td>
<td align="center">4</td>
<td align="left">-</td>
<td align="center">30</td>
<td align="center">6</td>
<td align="center">2</td>
<td align="center">1 800 000</td>
<td align="center">0.2</td>
</tr>
<tr>
<td align="left" rowspan="6" valign="top">Rural</td>
<td align="left" rowspan="2" valign="top">District hospitals</td>
<td align="center" rowspan="2" valign="top">28</td>
<td align="center" rowspan="2" valign="top">2</td>
<td align="left">Kabgayi Hospital</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">200 000</td>
<td align="center">0.1</td>
</tr>
<tr>
<td align="left">Murunda Hospital</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">150 000</td>
<td align="center">0.1</td>
</tr>
<tr>
<td align="left" rowspan="3" valign="top">Semiprivate rehab centres</td>
<td align="center" rowspan="3" valign="top">4</td>
<td align="center" rowspan="3" valign="top">3</td>
<td align="left">Gahini Rehab Centre</td>
<td align="center">9</td>
<td align="center">3</td>
<td align="center">5</td>
<td align="center">150 000</td>
<td align="center">1.1</td>
</tr>
<tr>
<td align="left">Rilima Rehab Centre</td>
<td align="center">7</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">80 000</td>
<td align="center">1.0</td>
</tr>
<tr>
<td align="left">Gatagara Rehab Centre</td>
<td align="center">13</td>
<td align="center">6</td>
<td align="center">1</td>
<td align="center">100 000</td>
<td align="center">2.0</td>
</tr>
<tr>
<td align="left">Total</td>
<td align="center">32</td>
<td align="center">5</td>
<td align="left">-</td>
<td align="center">33</td>
<td align="center">10</td>
<td align="center">6</td>
<td align="center">680 000</td>
<td align="center">1.0</td>
</tr>
<tr>
<td align="left"><bold>Total (urban &#x0026; rural)</bold></td>
<td align="left">-</td>
<td align="center"><bold>48</bold></td>
<td align="center"><bold>9</bold></td>
<td align="left"><bold>-</bold></td>
<td align="center"><bold>63</bold></td>
<td align="center"><bold>16</bold></td>
<td align="center"><bold>8</bold></td>
<td align="center"><bold>2 480 000</bold></td>
<td align="center"><bold>0.4</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>No., number; MOH, Ministry of Health; HI, Humanity &#x0026; Inclusion; PTs, physiotherapists; P&#x0026;Os, prosthetists and orthotists; OTs, occupational therapists; catchment area: the area from which patients at the public hospital are drawn considers only the adult population and private facilities, the proportion within the area who can pay the required fees.</p></fn>
<fn id="TFN0002"><label>&#x2020;</label><p>, This is an estimate of those who would need rehabilitation services in the area and does not consider the number who could pay for the services. Therefore, the number of people who can access semiprivate services is considerably less.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Rehabilitation staff at the nine health facilities include 63 PTs, 16 P&#x0026;Os and 8 OTs, serving both children and adults. The availability of rehabilitation personnel ranged from 2 PTs at district hospitals to 0 OTs at public hospitals. Whilst we had 13 PTs, 6 P&#x0026;Os and 5 OTs at semiprivate specialised rehabilitation centres primarily funded by NGOs or FBOs, based on catchment areas, publicly funded facilities have an average of 0.2 rehabilitation staff per 10 000 people, and semiprivately funded facilities have an average of 1.2 rehabilitation personnel per 10 000 people (<xref ref-type="table" rid="T0001">Table 1a</xref>). The availability of rehabilitation personnel differed significantly by location of the facility, with urban facilities having an average of 0.2 rehabilitation staff per 10 000 people compared to 1.0 rehabilitation staff per 10 000 people at rural facilities (<xref ref-type="table" rid="T0001a">Table 1b</xref>).</p>
<sec id="s20009">
<title>Description of services received by respondents</title>
<p>A total of 213 participants were recruited, 87.0&#x0025; from publicly funded hospitals (<italic>n</italic> = 186) and 13&#x0025; (<italic>n</italic> = 27) from semiprivately funded facilities. Most participants received PT (<italic>n</italic> = 190 [89.0&#x0025;]), with much fewer receiving P&#x0026;O (<italic>n</italic> = 24 [11.0&#x0025;]) or OT (<italic>n</italic> = 3 [1.4&#x0025;]), and 8 (4.0&#x0025;) received more than one service (<xref ref-type="table" rid="T0002">Table 2a</xref>). A similar pattern was seen at the public hospitals where most participants received PT (<italic>n</italic> = 175 [95.0&#x0025;]), with few receiving P&#x0026;O (<italic>n</italic> = 10 [5.0&#x0025;]) and OT (<italic>n</italic> = 2, 1.1&#x0025;) and 2 (1.1&#x0025;) receiving more than one service. At semiprivate facilities, half of the participants received PT and half received P&#x0026;O (PT <italic>n</italic> = 15 [56.0&#x0025;]; P&#x0026;O <italic>n</italic> = 14 [52.0&#x0025;]), with just two (7.0&#x0025;) receiving both. Only one (4.0&#x0025;) participant received OT. In urban settings, the majority of participants received PT (<italic>n</italic> = 154 [93.0&#x0025;]), few received P&#x0026;O (<italic>n</italic> = 12 [7.0&#x0025;]) and two (1.2&#x0025;) received OT (<xref ref-type="table" rid="T0002a">Table 2b</xref>). In rural areas, most participants received PT (<italic>n</italic> = 36 [77.0&#x0025;]), one-quarter of participants received P&#x0026;O (<italic>n</italic> = 12 [25.0&#x0025;]) and one (2.0&#x0025;) participant received OT.</p>
<table-wrap id="T0002">
<label>TABLE 2a</label>
<caption><p>Distribution of participants, by funding source, type of health facility visited and rehabilitation services received.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Funding source</th>
<th valign="top" align="left" rowspan="2">Level of facility</th>
<th valign="top" align="center" colspan="2">No. of participants per facility <italic>n</italic> = 213<hr/></th>
<th valign="top" align="left" rowspan="2">Name of facility</th>
<th valign="top" align="center" colspan="3">No. of participants per service<hr/></th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center">PT</th>
<th valign="top" align="center">P&#x0026;O</th>
<th valign="top" align="center">OT</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="6" valign="top">Public (some private funding but primarily government)</td>
<td align="left" rowspan="2" valign="top">Tertiary university teaching hospital</td>
<td align="center">76</td>
<td align="center">41</td>
<td align="left">Kigali University Teaching Hospital</td>
<td align="center">66</td>
<td align="center">10</td>
<td align="center">0</td>
</tr>
<tr>
<td align="center">62</td>
<td align="center">34</td>
<td align="left">Rwanda Military Hospital</td>
<td align="center">62</td>
<td align="center">0</td>
<td align="center">2</td>
</tr>
<tr>
<td align="left" rowspan="3" valign="top">District hospitals</td>
<td align="center">20</td>
<td align="center">11</td>
<td align="left">Masaka Hospital</td>
<td align="center">20</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td align="center">21</td>
<td align="center">11</td>
<td align="left">Kabgayi Hospital</td>
<td align="center">21</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td align="center">7</td>
<td align="center">3</td>
<td align="left">Murunda Hospital</td>
<td align="center">7</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">Total</td>
<td align="center">186</td>
<td align="center">87</td>
<td align="left">-</td>
<td align="center">175</td>
<td align="center">10</td>
<td align="center">2</td>
</tr>
<tr>
<td align="left" rowspan="5" valign="top">Semiprivate (some government funding but primarily private)</td>
<td align="left">Specialised hospital</td>
<td align="center">8</td>
<td align="center">14</td>
<td align="left">Inkurunziza Orthopedic Hospital</td>
<td align="center">6</td>
<td align="center">2</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left" rowspan="3" valign="top">Semiprivate rehab centres</td>
<td align="center">15</td>
<td align="center">57</td>
<td align="left">HVP Gatagara Orthopedic and Rehab Centre</td>
<td align="center">8</td>
<td align="center">9</td>
<td align="center">1</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">11</td>
<td align="left">Gahini Rehab Centre</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">0</td>
</tr>
<tr>
<td align="center">1</td>
<td align="center">4</td>
<td align="left">Rilima Orthopedic and Rehab Centre</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">Total</td>
<td align="center">27</td>
<td align="center">13</td>
<td align="left">-</td>
<td align="center">15</td>
<td align="center">14</td>
<td align="center">1</td>
</tr>
<tr>
<td align="left"><bold>Total (public and semiprivate)</bold></td>
<td align="left">-</td>
<td align="center"><bold>213</bold></td>
<td align="center"><bold>100</bold></td>
<td align="left"><bold>-</bold></td>
<td align="center"><bold>190</bold></td>
<td align="center"><bold>24</bold></td>
<td align="center"><bold>3</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>No., number; rehab, rehabilitation; PT, physiotherapy; P&#x0026;O, prosthetics and orthotics; OT, occupational therapy.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T0002a">
<label>TABLE 2b</label>
<caption><p>Distribution of participants, by geographical area, type of health facility visited and rehabilitation services received.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Geographical area</th>
<th valign="top" align="left" rowspan="2">Type of facility</th>
<th valign="top" align="center" colspan="2">No. of participants per facility <italic>n</italic> = 213<hr/></th>
<th valign="top" align="left" rowspan="2">Name of facility</th>
<th valign="top" align="center" colspan="3">No. of participants per service<hr/></th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center">PT</th>
<th valign="top" align="center">P&#x0026;O</th>
<th valign="top" align="center">OT</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" rowspan="5" valign="top">Urban</td>
<td align="left" rowspan="2" valign="top">Tertiary university teaching hospital</td>
<td align="center">76</td>
<td align="center">46</td>
<td align="left">Kigali University Teaching Hospital</td>
<td align="center">66</td>
<td align="center">10</td>
<td align="center">0</td>
</tr>
<tr>
<td align="center">62</td>
<td align="center">37</td>
<td align="left">Rwanda Military Hospital</td>
<td align="center">62</td>
<td align="center">0</td>
<td align="center">2</td>
</tr>
<tr>
<td align="left">District hospitals</td>
<td align="center">20</td>
<td align="center">12</td>
<td align="left">Masaka Hospital</td>
<td align="center">20</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">Specialised hospital</td>
<td align="center">8</td>
<td align="center">5</td>
<td align="left">Inkurunziza Orthopedic Hospital</td>
<td align="center">6</td>
<td align="center">2</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">Total</td>
<td align="center">166</td>
<td align="center">78</td>
<td align="left">-</td>
<td align="center">154</td>
<td align="center">12</td>
<td align="center">2</td>
</tr>
<tr>
<td align="left" rowspan="6" valign="top">Rural</td>
<td align="left" rowspan="2" valign="top">District hospitals</td>
<td align="center">21</td>
<td align="center">45</td>
<td align="left">Kabgayi Hospital</td>
<td align="center">20</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td align="center">7</td>
<td align="center">15</td>
<td align="left">Murunda Hospital</td>
<td align="center">7</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left" rowspan="3" valign="top">Semiprivate rehab centres</td>
<td align="center">15</td>
<td align="center">32</td>
<td align="left">HVP Gatagara Orthopedic and Rehab Centre</td>
<td align="center">8</td>
<td align="center">9</td>
<td align="center">1</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">6</td>
<td align="left">Gahini Rehab Centre</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">0</td>
</tr>
<tr>
<td align="center">1</td>
<td align="center">2</td>
<td align="left">Rilima Orthopedic and Rehab Centre</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">Total</td>
<td align="center">47</td>
<td align="center">22</td>
<td align="left">-</td>
<td align="center">36</td>
<td align="center">12</td>
<td align="center">1</td>
</tr>
<tr>
<td align="left"><bold>Total</bold></td>
<td align="left"><bold>-</bold></td>
<td align="center"><bold>213</bold></td>
<td align="center"><bold>100</bold></td>
<td align="left"><bold>-</bold></td>
<td align="center"><bold>190</bold></td>
<td align="center"><bold>24</bold></td>
<td align="center"><bold>3</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>No., number; rehab, rehabilitation; PT, physiotherapy; P&#x0026;O, prosthetics and orthotics; OT, occupational therapy.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s20010">
<title>Description of respondents</title>
<p>There were more men than women (60&#x0025; vs. 40&#x0025;) in our sample and more of our participants were unable to work than able to work (51&#x0025; vs. 27&#x0025;). The only difference in demographic characteristics for those in public facilities compared to semiprivate facilities was that there were more women (44&#x0025; vs. 5&#x0025;), and fewer people were employed (28&#x0025; vs. 33&#x0025;) (<xref ref-type="table" rid="T0003">Table 3a</xref>). When comparing participants at urban versus rural settings, urban participants tended to be older (43&#x0025; vs. 32&#x0025;), separated or divorced (16&#x0025; vs. 2&#x0025;) and either unemployed or in a temporary job (25&#x0025; vs. 17&#x0025;) (<xref ref-type="table" rid="T0003a">Table 3b</xref>).</p>
<table-wrap id="T0003">
<label>TABLE 3a</label>
<caption><p><italic>P</italic>-values for demographic characteristics by source of funding (public versus semiprivate).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Variable</th>
<th valign="top" align="center" colspan="2">Public (<italic>n</italic> = 186)<hr/></th>
<th valign="top" align="center" colspan="2">Semiprivate (<italic>n</italic> = 27)<hr/></th>
<th valign="top" align="center" rowspan="2"><italic>p</italic></th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>N</italic></th>
<th valign="top" align="center">&#x0025;</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left"><bold>Sex</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.011</td>
</tr>
<tr>
<td align="left">Male</td>
<td align="center">105</td>
<td align="center">56</td>
<td align="center">22</td>
<td align="center">81</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Female</td>
<td align="center">81</td>
<td align="center">44</td>
<td align="center">5</td>
<td align="center">19</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Age (years)</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.198</td>
</tr>
<tr>
<td align="left">18&#x2013;&#x003C; 30</td>
<td align="center">42</td>
<td align="center">23</td>
<td align="center">10</td>
<td align="center">37</td>
<td align="left"></td>
</tr>
<tr>
<td align="left">30&#x2013;45</td>
<td align="center">64</td>
<td align="center">34</td>
<td align="center">10</td>
<td align="center">37</td>
<td align="left"></td>
</tr>
<tr>
<td align="left">&#x003E; 45</td>
<td align="center">80</td>
<td align="center">43</td>
<td align="center">7</td>
<td align="center">26</td>
<td align="left"></td>
</tr>
<tr>
<td align="left"><bold>Marital status</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.246</td>
</tr>
<tr>
<td align="left">Single or unmarried</td>
<td align="center">51</td>
<td align="center">27</td>
<td align="center">12</td>
<td align="center">44</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Married and living together</td>
<td align="center">101</td>
<td align="center">54</td>
<td align="center">14</td>
<td align="center">52</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Widowed</td>
<td align="center">27</td>
<td align="center">15</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Separated or divorced</td>
<td align="center">7</td>
<td align="center">4</td>
<td align="center">1</td>
<td align="center">4</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Level of education</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.484</td>
</tr>
<tr>
<td align="left">None</td>
<td align="center">24</td>
<td align="center">13</td>
<td align="center">3</td>
<td align="center">11</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Primary education</td>
<td align="center">76</td>
<td align="center">41</td>
<td align="center">7</td>
<td align="center">26</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Secondary education and vocational training</td>
<td align="center">57</td>
<td align="center">31</td>
<td align="center">11</td>
<td align="center">41</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Tertiary education (A1, A0, MSc, PhD)</td>
<td align="center">29</td>
<td align="center">15</td>
<td align="center">6</td>
<td align="center">22</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Employment status</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.006</td>
</tr>
<tr>
<td align="left">Unemployed</td>
<td align="center">27</td>
<td align="center">15</td>
<td align="center">2</td>
<td align="center">7</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Permanent job</td>
<td align="center">32</td>
<td align="center">17</td>
<td align="center">8</td>
<td align="center">30</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Temporary job</td>
<td align="center">20</td>
<td align="center">11</td>
<td align="center">1</td>
<td align="center">4</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Student</td>
<td align="center">9</td>
<td align="center">5</td>
<td align="center">4</td>
<td align="center">15</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Unable to work</td>
<td align="center">97</td>
<td align="center">52</td>
<td align="center">12</td>
<td align="center">44</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Type of disability</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.968</td>
</tr>
<tr>
<td align="left">Physical</td>
<td align="center">177</td>
<td align="center">95</td>
<td align="center">27</td>
<td align="center">100</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Mental</td>
<td align="center">1</td>
<td align="center">0.5</td>
<td align="center">0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Multiple</td>
<td align="center">6</td>
<td align="center">3</td>
<td align="center">0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Others</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="center">0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Having health insurance</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.536</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">175</td>
<td align="center">94</td>
<td align="center">24</td>
<td align="center">89</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">11</td>
<td align="center">6</td>
<td align="center">3</td>
<td align="center">11</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Location of facility</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.000</td>
</tr>
<tr>
<td align="left">Urban</td>
<td align="center">158</td>
<td align="center">85</td>
<td align="center">8</td>
<td align="center">30</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Rural</td>
<td align="center">28</td>
<td align="center">15</td>
<td align="center">19</td>
<td align="center">70</td>
<td align="center">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Note: The table presents data for only those who responded yes to the question. The variable &#x2018;other&#x2019; is not included because it is not specified in the data.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T0003a">
<label>TABLE 3b</label>
<caption><p><italic>P</italic>-values for demographic characteristics by source of funding (public versus semiprivate)</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Variable</th>
<th valign="top" align="center" colspan="2">Urban (<italic>n</italic> = 166)<hr/></th>
<th valign="top" align="center" colspan="2">Rural (<italic>n</italic> = 47)<hr/></th>
<th valign="top" align="center" rowspan="2"><italic>p</italic></th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center"><italic>N</italic></th>
<th valign="top" align="center">&#x0025;</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left"><bold>Sex</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.818</td>
</tr>
<tr>
<td align="left">Male</td>
<td align="center">97</td>
<td align="center">58</td>
<td align="center">30</td>
<td align="center">64</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Female</td>
<td align="center">69</td>
<td align="center">42</td>
<td align="center">17</td>
<td align="center">36</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Age (years)</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.012</td>
</tr>
<tr>
<td align="left">18&#x2013;&#x003C; 30</td>
<td align="center">37</td>
<td align="center">22</td>
<td align="center">15</td>
<td align="center">32</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">30&#x2013;45</td>
<td align="center">57</td>
<td align="center">34</td>
<td align="center">17</td>
<td align="center">36</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">&#x003E; 45</td>
<td align="center">72</td>
<td align="center">43</td>
<td align="center">15</td>
<td align="center">32</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Marital status</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.008</td>
</tr>
<tr>
<td align="left">Single or unmarried</td>
<td align="center">43</td>
<td align="center">26</td>
<td align="center">20</td>
<td align="center">43</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Married and living together</td>
<td align="center">90</td>
<td align="center">54</td>
<td align="center">25</td>
<td align="center">53</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Widowed</td>
<td align="center">7</td>
<td align="center">4</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Separated or divorced</td>
<td align="center">26</td>
<td align="center">16</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Level of education</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.448</td>
</tr>
<tr>
<td align="left">None</td>
<td align="center">19</td>
<td align="center">11</td>
<td align="center">8</td>
<td align="center">17</td>
<td align="left"></td>
</tr>
<tr>
<td align="left">Primary education</td>
<td align="center">64</td>
<td align="center">39</td>
<td align="center">19</td>
<td align="center">40</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Secondary education and vocational training</td>
<td align="center">55</td>
<td align="center">33</td>
<td align="center">13</td>
<td align="center">28</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Tertiary education (A1, A0, MSc, PhD)</td>
<td align="center">28</td>
<td align="center">17</td>
<td align="center">7</td>
<td align="center">15</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Employment status</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.041</td>
</tr>
<tr>
<td align="left">Unemployed</td>
<td align="center">24</td>
<td align="center">14</td>
<td align="center">5</td>
<td align="center">11</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Permanent job</td>
<td align="center">30</td>
<td align="center">18</td>
<td align="center">10</td>
<td align="center">21</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Temporary job</td>
<td align="center">18</td>
<td align="center">11</td>
<td align="center">3</td>
<td align="center">6</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Student</td>
<td align="center">9</td>
<td align="center">5</td>
<td align="center">4</td>
<td align="center">9</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Unable to work</td>
<td align="center">84</td>
<td align="center">51</td>
<td align="center">25</td>
<td align="center">53</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Type of disability</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.000</td>
</tr>
<tr>
<td align="left">Physical</td>
<td align="center">161</td>
<td align="center">97</td>
<td align="center">43</td>
<td align="center">91</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Mental</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Multiple impairment</td>
<td align="center">5</td>
<td align="center">3</td>
<td align="center">1</td>
<td align="center">2</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Others</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">2</td>
<td align="center">4</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Having health insurance</bold></td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.559</td>
</tr>
<tr>
<td align="left">Yes</td>
<td align="center">156</td>
<td align="center">94</td>
<td align="center">43</td>
<td align="center">91</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">No</td>
<td align="center">10</td>
<td align="center">6</td>
<td align="center">4</td>
<td align="center">9</td>
<td align="center">-</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s20011">
<title>Facilitators and barriers to rehabilitation use</title>
<p>Over 85&#x0025; of participants considered the following as facilitators to rehabilitation service use: confidence and trust in staff, health coverage, family support and easily accessible services, which did not differ by facility except that patients at semiprivately funded facilities reported more family support than those from public facilities (96&#x0025; vs. 78&#x0025;) (<xref ref-type="fig" rid="F0002">Figure 2</xref>). The most common barriers to rehabilitation service use reported by over 60&#x0025; of participants were transportation costs, delays in finding services, long waiting times and inaccessible buildings. Transportation cost was reported more by patients at public facilities than at semiprivate facilities (97&#x0025; vs. 85&#x0025;) (<xref ref-type="fig" rid="F0003">Figure 3</xref>).</p>
<fig id="F0002">
<label>FIGURE 2</label>
<caption><p>(a) Facilitators to rehabilitation use facility funding source where participants were recruited (public: <italic>n</italic> = 186; semiprivate: <italic>n</italic>: 27; (b) Facilitators to rehabilitation use by participants&#x2019; residence (urban: <italic>n</italic> = 166, rural: <italic>n</italic> = 47).</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJOD-11-1004-g002.tif"/>
</fig>
<fig id="F0003">
<label>FIGURE 3</label>
<caption><p>(a) Barriers to rehabilitation use by facility funding source where participants were recruited (public: <italic>n</italic> = 186, semiprivate: <italic>n</italic>: 27; (b) Barriers to rehabilitation use by participants&#x2019; residence (urban: <italic>n</italic> = 166, rural: <italic>n</italic> = 47).</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJOD-11-1004-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="s0012">
<title>Discussion</title>
<p>With help from other international agencies, the Rwandan MoH published a report on a Situation Assessment of Rehabilitation in the Republic of Rwanda because of the recognition of the need to better understand rehabilitation service in Rwanda. This report highlights the lack of rehabilitation personnel, such as speech therapists, rehabilitation physicians and nurses (Ministry of Health-Rwanda <xref ref-type="bibr" rid="CIT0032">2021</xref>). This report also reveals that semiprivate funded rehabilitation centres are more equipped with resources than facilities funded by the public but falls short of understanding who is accessing rehabilitation services and why. Our data expand on the information from the Situation Assessment of Rehabilitation in the Republic of Rwanda report and other studies (Rhoda et al. <xref ref-type="bibr" rid="CIT0046">2015</xref>; Urimubenshi &#x0026; Rhoda <xref ref-type="bibr" rid="CIT0055">2011</xref>) to describe resources at both public and semiprivate funded facilities in urban and rural settings and to describe who is accessing rehabilitation services. We also describe some patients&#x2019; facilitators and barriers to attending rehabilitation.</p>
<p>Our analysis determined that semiprivate facilities had six times more human resources than publicly funded facilities. Facilities in rural areas (predominantly semiprivately funded) had five times more human resources than those in urban areas. People accessed rehabilitation services primarily for physical disability concerns. Interestingly, the facilitators and barriers to rehabilitation services were similar across facilities, regardless of the funding source or geographic location. Our analysis highlights the most crucial facilitators for accessing rehabilitation, including patients&#x2019; confidence and trust in staff, family support and health coverage. At the same time, participants indicated transportation costs, waiting time and inaccessible buildings as some of the significant barriers.</p>
<p>It is well known that rehabilitation services are limited in low- and middle-income countries, which makes it imperative to use the existing resources where most needed. We demonstrated that semiprimarily funded facilities had six times more human resources than publicly funded facilities and that rural areas (predominantly semiprivately funded) had five times more human resources than those facilities in urban areas. However, it is unclear whether this distribution of resources reflects the proportion of Rwandans living with disabilities in each of these areas. Whilst rural (primarily semiprivate) facilities are better staffed, they are more difficult to access because patients must pay for services. Thus, the catchment population for the semiprivate facilities is likely much smaller, meaning that staff proportions are likely much higher for semiprivate facilities when considering people&#x2019;s ability to pay. Whilst this increases the staffing ratios for those who can pay, it negatively affects the services available to those who cannot pay. Whilst numerically it seems that rural areas are better served, there are many additional considerations that suggest this may not be true. In addition to the issue of access because of payment, there is also the issue of distance to travel and costs associated with long-distance travel that may further affect access amongst the population in rural areas.</p>
<p>We demonstrated significant differences in some of the demographic characteristics of those who attended public versus semiprivate facilities in urban and rural settings; however, we do not know where the difference lies within these characteristics. We know that participants access rehabilitation services for physical disability concerns. However, it is unclear whether the needs of Rwandans with disability are primarily physical or whether the use of services is driven by the available services. Physiotherapists were the primary rehabilitation personnel available at all facilities, whilst P&#x0026;Os were available at five facilities, of which one was publicly funded. Occupational therapists were available at one public facility and two semiprivate facilities, and there were no SLT services or physicians and nurses providing rehabilitation services. Whilst there is a clear need for rehabilitation services that address physical disabilities, it is unclear if other rehabilitation needs are not being addressed. Understanding where most Rwandans with disabilities reside and their needs is critical to optimally distribute services; however, with the available funding structure, it is unlikely that redistribution will solve the issues of access to services. In addition to better distribution, implementing the MoH&#x2019;s new employment health structure proposed in 2020 will increase the overall number of rehabilitation professionals, particularly in areas with no rehabilitation services (Official Gazette <xref ref-type="bibr" rid="CIT0042">2020</xref>). Physiotherapists will be hired at PHCs, P&#x0026;Os at district hospitals, OTs and SLTs employed at the referral and provincial hospitals for the first time. However, the implementation of this new structure is taking longer. The Situation Assessment of Rehabilitation in the Republic of Rwanda report emphasises the need to immediately implement the MoH&#x2019;s new employment structure (Ministry of Health-Rwanda <xref ref-type="bibr" rid="CIT0032">2021</xref>). The Rwandan government is also exploring whether subsidies can be provided so that those with only universal health coverage can access semiprivately funded specialised centres. Whilst these government initiatives are positive, implementation could take time. Therefore, we suggest strategies to address the rehabilitation issues discussed without additional cost or burden to the system.</p>
<p>It is not surprising that most participants reported long waiting times as a significant barrier to attending rehabilitation. Even though there are six times more rehabilitation professionals at semiprivate facilities than public facilities, more than 70&#x0025; of participants attending semiprivate facilities still noted waiting times as a significant barrier. This experience is similar to that of people seeking rehabilitation services in other low- and middle-income countries (Bright et al. <xref ref-type="bibr" rid="CIT0011">2018</xref>; Mlenzana et al. <xref ref-type="bibr" rid="CIT0034">2013</xref>; Ntamo, Buso &#x0026; Longo-Mbenza <xref ref-type="bibr" rid="CIT0041">2013</xref>; Scheffler &#x0026; Mash <xref ref-type="bibr" rid="CIT0051">2019</xref>).</p>
<p>Whilst the Rwandan universal healthcare coverage provides 90&#x0025; &#x2013; 100&#x0025; (depending on the households&#x2019; economic situation) financial support for rehabilitation services at public facilities and semiprivate facilities, patients pay 100&#x0025;; issues such as long waiting times and transportation costs remain significant barriers to accessing services. This is similar to issues noted in other low- and middle-income countries including South Africa and Nigeria (Bright et al. <xref ref-type="bibr" rid="CIT0011">2018</xref>; Igwesi-Chidobe <xref ref-type="bibr" rid="CIT0019">2012</xref>; Scheffler &#x0026; Mash <xref ref-type="bibr" rid="CIT0051">2019</xref>). There is a critical need to identify strategies to capitalise on available resources to augment rehabilitation interventions without additional cost or burden to the system.</p>
<p>To decrease waiting times for those in most need, we need to develop triage referral protocols to provide faster services. This protocol could use a decision tree approach to help physicians identify those in the highest need, assign a priority rating and determine what care could likely be provided by a family member or a caregiver (Hobbs et al. <xref ref-type="bibr" rid="CIT0018">2010</xref>). Patients who need professionals&#x2019; interventions could then take the priority rating to a rehabilitation facility where one or two spots are held weekly to see priority referrals quickly. The University of Rwanda, the national associations of rehabilitation healthcare professionals, physicians and nurses could lead initiatives to develop triage protocols and decision trees to facilitate the process (Hobbs et al. <xref ref-type="bibr" rid="CIT0018">2010</xref>). Developing triage protocols could be implemented at the referral stage to prevent a constant flow of patients, long waiting lists and time. In addition, community-based interventions provided by families, community health workers (CHWs) and lay personnel might offer a sustainable alternative or complement to rehabilitation provided by health professionals (e.g., PTs) and provide an accessible and affordable approach with the potential to address the rehabilitation needs in the community in Rwanda.</p>
<p>Home or community-based interventions could also be developed to address the rehabilitation needs. The WHO proposed &#x2018;task shifting&#x2019; more than a decade ago to supplement healthcare provision in low- and middle-income countries (World Health Organization <xref ref-type="bibr" rid="CIT0062">2008</xref>). More recently, &#x2018;task sharing&#x2019; was suggested as an alternative to task shifting, when the responsibility for care provision cannot be completely assumed by those trained, skilled and credentialed to perform the tasks (Anand et al. <xref ref-type="bibr" rid="CIT0003">2019</xref>).</p>
<p>In addition to using the existing rehabilitation services more efficiently, we could supplement rehabilitation services by training existing healthcare providers on key aspects of rehabilitation. For example, rehabilitation professionals can offer appropriate and relevant training to nurses at PHCs, where rehabilitation services are nonexistent. The need to train nurses at PHCs was also recommended in the Situation Assessment of Rehabilitation in the Republic of Rwanda report (Ministry of Health-Rwanda <xref ref-type="bibr" rid="CIT0032">2021</xref>), and training initiatives could begin during professional training in university programmes.</p>
<p>Training non-healthcare professionals, such as family caregivers, CHWs and lay personnel, have been supported in previous studies conducted in low- and middle-income countries. For example, a study was conducted in Bangladesh (Rahman &#x0026; Salek <xref ref-type="bibr" rid="CIT0045">2016</xref>) and Thailand (Pitthayapong et al. <xref ref-type="bibr" rid="CIT0043">2017</xref>) in which caregivers of patients with stroke were trained on incontinence care, bed positioning and activities of daily living (ADLs). The training provided to caregivers achieved positive results on patients&#x2019; outcomes, such as improved ADLs (Rahman &#x0026; Salek <xref ref-type="bibr" rid="CIT0045">2016</xref>). Likewise, training CHWs in South Africa to provide rehabilitation interventions, such as transfers, bed mobility or positioning, has resulted in positive patient outcomes such as reduced pressure sores and improved mobility (Nesbit &#x0026; Clark <xref ref-type="bibr" rid="CIT0038">2019</xref>).</p>
<p>Some studies have demonstrated the benefits of training caregivers and CHWs (Nesbit &#x0026; Clark <xref ref-type="bibr" rid="CIT0038">2019</xref>; Magwood et al. <xref ref-type="bibr" rid="CIT0027">2020</xref>; Pitthayapong et al. <xref ref-type="bibr" rid="CIT0043">2017</xref>; Rahman &#x0026; Salek <xref ref-type="bibr" rid="CIT0045">2016</xref>); however, additional research is needed to identify how to develop and evaluate these training programmes in Rwanda. Rehabilitation professionals could use existing community-based interventions and train CHWs to provide simple but effective physical rehabilitation interventions in the community (Anand et al. <xref ref-type="bibr" rid="CIT0003">2019</xref>; Dawson et al. <xref ref-type="bibr" rid="CIT0013">2014</xref>). The proposal to move rehabilitation from a therapist-led facility system is a significant shift; requiring buy-in from multiple stakeholders in multiple systems. It builds on the gains achieved through community-based rehabilitation (Lemmi et al. <xref ref-type="bibr" rid="CIT0024">2016</xref>; Mannan et al. <xref ref-type="bibr" rid="CIT0029">2012</xref>) and could create a community-sustained solution that could be funded at a fraction of the costs of a therapist-based facility solution for rehabilitation. We recognise this solution will take a buy on many levels and a revisioning of service provision.</p>
<p>Technology could also be used to augment rehabilitation services, particularly in countries with limited resources (Jesus et al. <xref ref-type="bibr" rid="CIT0021">2017</xref>; Jesus et al. <xref ref-type="bibr" rid="CIT0022">2019</xref>; Lincoln et al. <xref ref-type="bibr" rid="CIT0025">2014</xref>; Veitch et al. <xref ref-type="bibr" rid="CIT0056">2012</xref>). Low-cost technologies using mobile phones and telerehabilitation (where the Internet is available) could offer additional support for families and CHWs in Rwanda to provide rehabilitation interventions at home or in the community. For example, the University of Rwanda could introduce and support telerehabilitation interventions during outreach programmes. Telemedicine has been successfully developed and implemented in Rwanda (Roodenbeke et al. <xref ref-type="bibr" rid="CIT0047">2011</xref>). For example, mHealth programmes using mobile phones have increased maternal and child health services (Ruton et al. <xref ref-type="bibr" rid="CIT0049">2018</xref>) and increased access to antiretroviral drugs (Nsanzimana et al. <xref ref-type="bibr" rid="CIT0040">2012</xref>). These achievements have been possible because many Rwandans own a mobile phone. Telerehabilitation has provided cost-effective services in low- and middle-income countries (Fatoye et al. <xref ref-type="bibr" rid="CIT0014">2019</xref>; Sarfo et al. <xref ref-type="bibr" rid="CIT0050">2018</xref>) and could be an approach to increase access to rehabilitation services in Rwanda.</p>
<sec id="s20013">
<title>Limitations of the study</title>
<p>We have undertaken a secondary data analysis to describe the people attending rehabilitation facilities but were limited to the data collected for the health economics study. Participants were purposively recruited, which could have biased their response to the data collectors, and thus did not provide the exact situation of the current rehabilitation issues for the Rwandan users. Although recruitment practices were limited from September to December 2018 and 3 days per week, we do or do not feel this limits the generalisability of our results because we recruited participants from both public and semiprivate facilities in urban and rural settings. A key consideration when interpreting our data is whether the sample was representative of those with disability in Rwanda and the facilities that they access. Our participants were identified when they attended a rehabilitation facility and therefore represent only those who can attend rehabilitation facilities (e.g., those who receive a referral, have a means of getting to the facility and get an appointment). Most data were obtained from urban and public facilities with an under-representation of rural and semiprivate facilities and no representation from referral or provincial hospitals. Therefore, we cannot state that similar patient profiles, barriers or facilitators are experienced in these settings. We were also limited in the number of variables we could include in a regression model if we had to look at predictors of being in a semiprivate or public hospital because we only had 27 people in the semiprivate hospitals. We also calculated the catchment for public and semiprivate facilities using estimates of the population in the area but did not have an idea of the proportion of the population who could afford versus those who cannot afford for semiprivate facilities.</p>
<p>Our study describes people who attended a facility, which is influenced by the services provided. We cannot generalise the findings regarding the type of disability because adults with disabilities use the available services (physiotherapy), not necessarily the services they need. Understanding the needs of persons with disabilities who require but cannot attend rehabilitation should be a future research priority. The survey only focused on patients with physical disabilities, which meant that our conclusion was only limited to this population. The survey&#x2019;s primary purpose was to collect data on cost, which enabled us to only look at the quantity and not the quality of services. As a result, we had no data on the specific conditions (that resulted in physical disabilities), the number of sessions attended, needs and therapy outcomes of people attending facilities that provide rehabilitation services. This information would be beneficial to support the provision of appropriate rehabilitation care.</p>
</sec>
</sec>
<sec id="s0014">
<title>Conclusions</title>
<p>The availability of rehabilitation services for Rwandan adults with physical disabilities is limited, with greater access to services in semiprivate compared to public facilities. Whilst family support help patients attend rehabilitation, transportation costs remain a significant barrier to people attending rehabilitation. Strategies to address these issues are urgently required and should complement the MoH solutions that will be implemented in the next years. These strategies can include developing triage protocols that could be implemented at the referral stage to prevent a constant flow of patients, long waiting lists and time. In addition, community-based interventions provided by families, CHWs, and lay personnel could extend the outreach of basic rehabilitation services to those with long-term health conditions and disabilities living in the community in Rwanda. This would require a major system shift that will require buy-in from multiple stakeholders in multiple systems but could be an efficient and sustainable solution. Finally, service provision could be augmented with the use of low-cost technologies using mobile phones and telerehabilitation (where the internet is available) and could offer additional support for families and CHWs in Rwanda to provide rehabilitation interventions at home or in the community.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>We acknowledge Humanity &#x0026; Inclusion in developing and collecting the data that are used for this article. The authors wish to thank all participants from the selected facilities for their collaboration in the study. We would like to thank the support of Linda Nguyen for reviewing and editing this article.</p>
<sec id="s20015" sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors reported no potential conflict of interest. Although Ines Musabyemariya is a paid employee of Humanity &#x0026; Inclusion (the funding organisation for data collection), her authorship in this manuscript was not influenced by her employer.</p>
</sec>
<sec id="s20016">
<title>Authors&#x2019; contribution</title>
<p>This article was conceptualised by A.K., J.B. The methodology was the responsibility of A.K., J.R., L.T. and J.B. The formal analysis and the writing of the original draft was completed by A.K. The project administration was the responsibility of I.M., while data curation was done by A.K., I.M. The writing review and editing was completed by A.K., J.R., L.T., J.K. and J.B., while supervision was conducted by J.R., L.T., J.K. and J.B.</p>
</sec>
<sec id="s20017">
<title>Ethical considerations</title>
<p>The Rwandan National Ethics Committee (RNEC) provided approval (IRB 00001497), permission to collect data from the selected facilities was obtained and all participants provided written informed consent. In addition, confidentiality and anonymity of participants enrolled in the study were ensured using unique identification numbers on all data collection forms (11 May 2018).</p>
</sec>
<sec id="s20018">
<title>Funding information</title>
<p>The authors received no financial support for the research, authorship, and/or publication of this article.</p>
</sec>
<sec id="s20019">
<title>Data availability</title>
<p>The data presented in the article are secondary data, and they are not publicly available because &#x2018;data availability&#x2019; was not covered in the ethics approval process, and participants had not requested permission when they completed the consent forms.</p>
</sec>
<sec id="s20020">
<title>Disclaimer</title>
<p>The views and opinions expressed in this article are those of the authors and may not necessarily reflect the positions of the authors&#x2019; affiliated institutions.</p>
</sec>
</ack>
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</ref-list>
<app-group>
<app id="app001">
<title>Appendix 1</title>
<sec id="s0021">
<title></title>
<fig id="F0004">
<label>FIGURE 1-A1</label>
<caption><p>Rehabilitation Sector in the Health System. Adapted from the Organization chart of the health system in Rwanda.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="AJOD-11-1004-g004.tif"/>
</fig>
</sec>
</app>
</app-group>
<fn-group>
<fn><p><bold>Research Project Registration:</bold></p></fn>
<fn><p><bold>Project Number:</bold> 00001973</p></fn>
<fn><p><bold>How to cite this article:</bold> Kumurenzi, A., Richardson, J., Thabane, L., Kagwiza, J., Musabyemariya, I. &#x0026; Bosch, J., 2022, &#x2018;Provision and use of physical rehabilitation services for adults with disabilities in Rwanda: A descriptive study&#x2019;, <italic>African Journal of Disability</italic> 11(0), a1004. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4102/ajod.v11i0.1004">https://doi.org/10.4102/ajod.v11i0.1004</ext-link></p></fn>
<fn id="FN0001"><label>1</label><p><ext-link ext-link-type="uri" xlink:href="https://www.minaloc.gov.rw/fileadmin/user_upload/Minaloc/National_Policy_on_Disability_and_Inclusion_final.pdf">https://www.minaloc.gov.rw/fileadmin/user_upload/Minaloc/National_Policy_on_Disability_and_Inclusion_final.pdf</ext-link></p></fn>
<fn id="FN0002"><label>2</label><p><ext-link ext-link-type="uri" xlink:href="https://worldpopulationreview.com/countries/rwanda-population">https://worldpopulationreview.com/countries/rwanda-population</ext-link></p></fn>
</fn-group>
</back>
</article>