Skip to main content
African Health Sciences logoLink to African Health Sciences
. 2016 Sep;16(3):772–780. doi: 10.4314/ahs.v16i3.18

Community reintegration and related factors in a Nigerian stroke sample

Christopher Akosile 1, Chioma Nworah 1, Emmanuel Okoye 1, Babatunde Adegoke 2, Joseph Umunnah 1, Ayodeji Fabunmi 2
PMCID: PMC5111998  PMID: 27917211

Abstract

Background

The goal of stroke rehabilitation has shifted from mere survival of a victim to how well a survivor can be effectively reintegrated back into the community.

Objectives

The present study determined the level of satisfaction with community reintegration (CR) and related factors among Nigerian community-dwelling stroke survivors (CDSS).

Methods

This was a cross-sectional survey of 71 volunteering CDSS (35 males, 36 females) from selected South-Eastern Nigerian communities. Reintegration to Normal Living Index was used to assess participants' CR. Data was analysed using Spearman rank-order correlation, Kruskal-Wallis and Mann-Whitney U tests at p≤0.05.

Results

Participants generally had deficits in CR which was either mild/moderate (52.1%) or severe (47.9%). Scores in the CR domains of distance mobility, performance of daily activities, recreational activities and family roles were particularly low (median scores ≤ 4). CR was significantly correlated with and influenced by age (r=-0.35; p=0.00) and presence/absence of diabetes mellitus (u=3.56.50; p=0.01), pre- (k=6.13; p=0.05) and post-stroke employment (k=18.26; p=0.00) status, type of assistive mobility device being used (AMD) (k=25.39; p=0.00) and support from the community (k=7.15; p=0.03) respectively.

Conclusion

CR was generally poor for this CDSS sample. Survivors who are older, having diabetes as co-morbidity, using AMD (particularly wheel-chair) and without employment pre- and/or post-stroke may require keener attention. Rehabilitation focus may be targeted at enhancing mobility functions, vocational and social skills.

Keywords: Community reintegration, associated factors, post-stroke

Introduction

Stroke is a major cause of long-term disability and the second leading cause of death globally, with an associated high economic cost and a detrimental impact on the physical, social, and psychological functioning of the survivors1,2. The incidence of stroke and its associated disabilities is reportedly increasing even in poor and medically-less developed countries3. An increasing number of stroke victims are surviving the attack due to better acute rehabilitation care and the availability of better information on stroke management4. Majority of these survivors are however left with varying degrees of disability5 restricting their reintegration into the community, and potentially negating the best efforts of rehabilitation611. Consequently, the goal of stroke rehabilitation has shifted from mere survival of a victim to how well a survivor can be effectively reintegrated back into the community8,12.

Community reintegration is defined as the opportunity an individual has to live in the community with the already present condition (after a state of ill-health like stroke) and be valued for his/her uniqueness and abilities, like everyone else13. It is the most important and ironically the most underestimated area of stroke rehabilitation6. The constituting domains of community reintegration may include recreation/leisure integration, social network integration, residential integration, employment/economic integration, employment stability, personal satisfaction, independent living, family role, general coping skills and so on8,11,12,14. However, the conceptualization of community reintegration reportedly varies considerably across different authors, cultures, environments, groups, age groups and across people with different kinds and degrees of disabilities9,15. Self-perceived participation in community activities is thought to reflect individuals' perception and satisfaction with their level of community reintegration9. The level of satisfaction of a stroke survivor with community reintegration reportedly varies and depends on complex interactions between functional, personal and environmental factors9,16,17. These factors may include quality of life (QOL), acuteness or chronicity of stroke, balance ability, falls and balance self-efficacy, depression, age, level of social support, exercise training, return to work and normal walking6,9,11,1821. Similar to community reintegration, QOL is a broad-ranging concept affected in a complex way by the persons' physical health, psychological state, level of independence, social relationships, and their relationship to salient features of their environment22. The degree of reintegration achieved by patients after an incapacitating illness is seen as contributing to the quality of their lives, with both constructs (QOL and reintegration) being important to measure when therapeutic goals cannot include a cure but are directed at controlling the disease process or fostering compensation for impairment23.

Problems with community reintegration among stroke survivors from the Western nations are well-reported in literature. Only few studies from Africa and Nigeria particularly had investigated community reintegration among the group. The only available reports from Nigeria were from the South-Western region24,25. These studies did not reflect some of the factors investigated in the present study and were institution-based. The region is also different in terms of culture, values and environments to the South-East. This study on the other hand, aimed at determining the level of community reintegration and factors that may either influence or be related to it among community-dwelling stroke survivors from South-East, Nigeria.

Methods

This was a cross-sectional survey of community reintegration and its associated factors among stroke survivors recruited from five randomly-selected communities from two local government areas (three from Nnewi North and two from Nnewi South) in Anambra State, South-East, Nigeria. The Ethical Committee of Nnamdi Azikiwe University Teaching Hospital approved the study. Participants were volunteers who responded to publicized adverts carried out by town criers and also through churches' bulletin and community leaders. Through these volunteers, other participants were also recruited using the snowballing sampling technique. Sampled survivors were only those who were able to speak or write in the English language. Individual participants gave written or verbal consent after due explanation of the study's procedure.

Information on the age, gender, marital status, pre- and post-stroke employment status, form of marriage, usage of assistive devices, presence or absence of co-morbidity among participants and whether or not the participant was receiving physiotherapy or not were obtained by oral interview. Participants were also asked to rank the level of support they received from the family and from the community as high, modest or low in line with their personal expectations. The Reintegration to Normal Living Index (RNLI) was used to estimate the level of satisfaction with community reintegration among the participants. The RNLI is an 11-item instrument with the following domains: indoor mobility, community mobility, distance mobility, self-care, daily activities (work and school), recreational activities, social activities, family roles, personal relationships, presentation of self to others, and general coping skills24,26. The first 8 items in the RNLI represent ‘daily functioning’ and the remaining 3 items represent ‘perceptions of self’18. Each item is accompanied by a 10cm visual analogue scale anchored with phrases of 0-no integration to 10-full integration27. The sum of the scores is normalized to 100 such that the minimum possible score is 0 and maximum is 100, indicating no or full integration respectively. Scores of 60 through 99 indicate mild to moderate restrictions in self-perceived community reintegration, and scores less than 60 indicate severe restrictions in self-perceived community reintegration9. Adequate to excellent construct validity and reliability of the RNLI has been reported2830. The RNLI was either self- or researcher-administered to each participant depending on the participants ability to read in English Language.

Statistical analysis was done with SPSS (version 16). The descriptive statistics of frequency, percentages, mean and standard deviation were used to summarize the demographic variables and RNLI scores of the participants; Spearman rank-order correlation was used to assess the relationship between selected participants' demographics and their score on RNLI; Kruskal-Wallis and Mann-Whitney tests were used to establish the differences in the RNLI score among different socio-demographic categories of participants. Level of significance was set at P≤ 0.05.

Result

Seventy-one stroke survivors (mean age= 64.14±10.26 years; range: 41–82 years) participated in the study. Thirty six (50.7%) were females and 46 (65%) were using mobility assistive devices (canes, wheelchairs and Zimmer's frames). More than three-fifth (66%) of the participants lost their employment post-stroke, and while most regarded the level of support from the family to be high, a good proportion (40.8%) ranked the level of support from the community to be rather low (table 1).

Table 1.

Demographic characteristics of the participants

Demographics Category Frequency Percentage
Marital status Married 63 88.7
Divorced 7 9.9
Separated 1 1.1
Pre-stroke ES EPPC 12 16.9
Self-employed 48 67.6
Unemployed 11 15.5
Post-stroke ES EPPC 2 2.8
Self-employed 18 25.4
Unemployed 51 71.8
Hypertension Present 48 67.6
Absent 23 32.4
Diabetes mellitus Present 27 38.0
Absent 44 62.0
Marriage type Monogamy 62 87.3
Polygamy 9 12.7
Use/type of Cane 24 33.8
Assistive Devices Wheelchair 19 26.8
Zimmer’s frame 3 4.2
Nil 25 35.2
LOS from High 54 76.1
family Moderate 16 22.5
Low 1 1.4
LOS from High 12 16.9
Community Moderate 30 42.3
Low 29 40.8
Access to Yes 16 22.5
Physiotherapy No 55 77.5

EPPC—Employed in public services and private companies

LOS—Level Of Support

ES—Employment Status

Aside from hypertension and diabetes that was reported by a good number of participants, osteoarthritis was reported by just one participant as co-morbidity. The mean total and overall median RNLI scores of the participants were 59.37±22.54 and 63.00 respectively. Thirty-seven (52.1%) participants had either mild/moderate deficits in CR while the rest had severe deficits. The participants scored best in indoor mobility and self-care domains (median scores = 9.00) and worst (median scores ≤ 4.00) in distance mobility, recreational activities, family roles and daily activities (work and school) domains (table 2).

Table 2.

Participants’ mean and proportion scores in different domains of the reintegration to normal living index

Domains Range First Quartile Median Third Quartile
Indoor mobility 1–10 6.00 9.00 10.00
Community mobility 0–10 2.00 6.00 8.00
Distance Mobility 0–10 0.00 3.00 6.00
Self-care 1–10 6.00 9.00 10.00
Daily Activities 0–10 1.00 4.00 6.00
Recreational Activities 0–10 2.00 4.00 6.00
Social Activities 0–10 3.00 5.00 7.00
Family Roles 0–10 1.00 4.00 7.00
Personal relationships 0–10 5.00 7.00 9.00
Presentation of STO 1–10 5.00 7.00 8.00
General coping skills 0–10 3.00 5.00 7.00
RNLI TOTAL 9–106 41.00 63.00 76.00
RNLI Transformed 8.18–96.40 37.27 57.30 69.09

%- percentage

STO—Self To Others

RNLI—Reintegration to Normal Living Index

Each of the participants' RNLI total and subscale scores (perception of self and daily functioning) significantly correlated with their age. Perception of self CR subscale scores also significantly correlated with the participants' level of community support. (table 3).

Table 3.

Spearman rank correlation between RNLI scores and selected participants’ demographical and clinical variables

Variables RNLI Total Scores PS Scores DF Scores
Age r= −0.351 −0.358 −0.288
P= 0.003* 0.002* 0.015*
Post-stroke duration r= 0.011 −0.145 0.057
P= 0.929 0.227 0.640
Level of support from
Community
r= −0.041 −0.249 −0.006
p= 0.735 0.037* 0.959
Level of support from
Family
r= 0.106 −0.155 0.153
p= 0.379 −0.198 0.204
*

Significant at p<0.05

RNLI—Reintegration to Normal Living Index

PS: Perception of Self Subscale Scores

DF: Daily Functioning Subscale Scores

Participants who were employed in public services or private companies (pre- and/or post-stroke) had significantly higher RNLI scores than those that were self-employed (pre- and/or post-stroke) who in turn had significantly higher RNLI scores than the unemployed participants (pre- and/or post-stroke) (kw= 6.13, p=0.0047 and kw= 18.26, p=0.000). Participants who had diabetes mellitus as a comorbidity had significantly lower RNLI total score than those without the condition (table 4).

Table 4.

Kruskal-Wallis and Mann-Whitney U tests showing the differences in RNLI score among different categories of participants

Variables Categories Mean Rank K/U p value
Gender Male 36.86 600.00 0.730
Female 35.17
Presence of Yes 36.27 539.00 0.873
Hypertension No 35.45
Presence of Yes 27.20 356.50 0.005*
Diabetes Mellitus No 41.40
Access to Yes 35.95 627.00 0.982
Physiotherapy No 36.06
Pre-Stroke Employed in PPC 47.17 6.13 0.047*
Employment Status Self-employed 35.50
Unemployed 26.00
Post-Stroke Employed 54.00 18.26 0.000*
Employment Status Self-employed 51.50
Unemployed 29.00
Usage of Assistive Cane 34.56 25.39 0.000*
Mobility Devices Wheelchair 18.63
Zimmer’s frame 39.83
Nil 50.12
Marital Status Married 35.89 0.06 0.972
Divorced 37.43
Separated 33.00
Support from High 34.69 1.82 0.403
Family Moderate 41.34
Low 21.00
Support from High 47.54 7.15 0.028*
Community Moderate 29.37
Low 38.09
*

Significant at p<0.05

RNLI= Reintegration to Normal living Index

Discussion

The level of satisfaction with community reintegration and its related factors were investigated in this study. Participating stroke survivors were similarly spread across both gender just as was found earlier in the same environment31. Other studies on community reintegration have however involved more male survivors9,24,25. Though it has been reported that the female gender is a predictor of participation restriction1, neither community reintegration nor any of its domains was significantly influenced by gender in the present study. Previous studies have also failed to establish statistically significant gender difference, though scores for males generally tend to be slightly higher9,24,25.

None of the study participants was fully satisfied with their community reintegration just as was reported in other local studies24,25. The mean RNLI scores were also comparable between the present study and those other ones, falling between the ranges for moderate to mild deficits and that for severe deficits. However, nearly half the participants in the present study compared to a fifth in the Obembe et al25 study were experiencing severe restriction suggesting that participants in the present study might be functioning at a lower level. Though functional status was not investigated in the present study, the facts that 65% (compared to 30% from the Obembe et al24) of the participants were on mobility aids, with nearly 3 out of every 10 being wheelchair-users and with more severe deficits in community reintegration seems to buttress this. This might also not be unconnected with the fact that only 22.5% were in a rehabilitation (physiotherapy) programme .

The present study was community-based, as opposed to the Obembe et al studies24,25 that were hospital-based, and might have reflected better the state of community reintegration among stroke survivors in a Nigerian environment. Our findings may be an indication that more functionally-restricted stroke survivors would more likely be found outside the hospital settings. This then would imply the need to have community-based rehabilitation (CBR) programmes to identify this group of survivors within the communities so as to provide them with needed care. Unfortunately, CBR in Nigeria is practically in the hands of a few faith-based non-governmental organizations with support from external agencies. These programmes are rather thinly spread across the country and its various regions to be quite effective. In a country where social security is practically non-existent, the drop in family income, long-term expenses associated with rehabilitation, along with traditional beliefs may have combined to reduce access to rehabilitation among the group with the consequence that nearly half of all survivors were severely restricted.

Those other Nigerian studies24,25 also involved samples with younger ages, longer post-stroke duration, preponderance of male gender and existing involvement with rehabilitation (physiotherapy services), and were conducted in a region with better basic and social amenities. Younger ages, better functional ability, male gender, longer poststroke duration, participation in exercise program, better community and social supports, and more supportive physical and social environments have all been reported to be associated with higher level of satisfaction with community reintegration1,9,11,24,25. Comparison of mean RNLI scores from the Nigerian studies including the present one with findings from more developed countries revealed poorer level of satisfaction with community reintegration among Nigerian stroke survivors1,9,11 thus buttressing findings and assumptions of the influence of socio-economic status, environmental and cultural factors on community reintegration9,15.

Participant best scores were from indoor mobility and self-care domains while worst scores were from distance mobility and daily activities (work and school) domains of community reintegration. Participants were not fully satisfied with reintegration in any of the domains and their mean domains' scores generally fell within the range for severe deficits except in the indoor mobility, self-care, personal relationships and presentation-of-self-to-others domains. These are domains that are either less-tasking or to some extent under the survivor's control. The tendency for better scores in the indoor mobility and personal relationships domains among stroke survivors have been previously reported24. Severe deficits in most domains may reflect poor motor functioning among participants. Obembe et al25 had reported poor motor functioning to be associated with lower level of community reintegration among stroke survivors. Though the present study did not assess motor functioning, the high percentage of participants using assistive mobility devices particularly wheelchairs and low return rate to pre-stroke employment would suggest low levels of physical and motor functioning. Since the item on the self-care needs asked if participants were comfortable with how their self-care needs were met rather than if they were able to meet those needs themselves, lower levels of restriction in this domain might be because some of these needs were met by others (for example, family members), as suggested by the fact that up to 98.6% of the participants rated the level of support received from their family members as moderate to high. The relatively low level of support from the communities might also not be unconnected with the reported severe deficits in recreational activities, social activities, and community and distance mobility domains.

The economic impact of stroke on survivors is highlighted by the high proportion of the participants (66%) who lost their employment after stroke in the present study. Other studies have reported return rate to work among previously working survivors to range between 8.8% and <50% post-stroke32,33. The present study found significant influence of both pre- and post-stroke occupational engagements on the participants' level of satisfaction with community reintegration. Baseman et al32 had similarly found social integration among stroke survivors to be related to post-stroke employment status. It is understandable that participants who are able to sustain their employment post-stroke may find satisfaction and contentment in their being able to function at an economically productive level. The fact that those who work in the public service or private companies were mostly unable to return to work may reflect societal attitude towards disability. Though the Disability Act discourages discrimination on account of disability, most employers in the country could hardly tolerate an individual with any form of disability, thus placing the individual at both an economic and social disadvantage.

Similar to a previous report1, an inverse relationship exists between participants' ages and level of community reintegration. Though the predominant co-morbidity among participants was hypertension, diabetes mellitus was the condition that significantly and adversely influenced their level of satisfaction with community reintegration. Baseman et al32 had reported the presence of a co-morbidity to negatively influence the reintegration of stroke survivors. Our finding of a significant relationship between the level of support from the community and satisfaction with community reintegration seems to suggest that survivors perceive support from their communities as a requirement for re-integration back to these same communities.

The finding of no significant relationship between community reintegration and post-stroke duration contradicted the report by Obembe et al24. Recruits for the present study included survivors with post-stroke duration as short as one month, while Obembe et al24 study involved participants with post-stroke duration not less than 6 months. It seems that the relationship between post-stroke duration and level of community integration becomes apparent only with longer time frame. Participants' ambulatory status influenced their satisfaction with community reintegration. Other researchers have previously reported that poor reintegration into the community after stroke could be predicted by poor functional ability and/or performance1,25.

Limitations

The present study recruited a convenience sample of participants who responded to the study advertisement and those they further recommended through snowballing sampling technique. It also recruited only those who could speak or read English Language. It is not known if the profile of the stroke survivors in the sampled communities who were either excluded or could not make it to the centres was different from that of the participants. The study may thus not be generalisable to all stroke survivors. However, the community-based as against hospitalbased design allowed for the capture of stroke survivors who were undergoing rehabilitations and those who were not. This probably helped to increase the sample size and the generalisability of the study. Participants' response on the level of social support from either the community or the family were not obtained using any standardized instrument but was adjudged based on individual's expectation. This allowed the participants to rate the degree of support they were enjoying compared to what they might have been expecting.

Conclusion

Community reintegration was rather poor among the sampled community-dwelling stroke survivors with a considerable number actually suffering severe deficits especially in their distance mobility and daily activities. Satisfaction with community reintegration significantly correlated with age and was also significantly influenced by pre- and post-employment status, usage of assistive devices and level of support from the community respectively. Access to rehabilitation was also restricted among the participants. Clinical interventions should be targeted at enhancing survivors' motor and physical functioning and could be more practically delivered under a community-based rehabilitation (CBR) programme. The government and community stake-holders should, on the other hand, develop and put in place social support and vocational training programmes. Community -dwelling stroke survivors who may be older, having diabetes as co-morbidity, using assistive mobility device (particularly wheel-chair) and who may have lost their pre-stroke employment status may require keener attention.

References

  • 1.Chau JPC, Thompson DR, Twinn S, Chang AM, Woo J. Determinants of Participation restriction among community dwelling stroke survivors: A path analysis. [2014 May 05];BMC Neurology. 2009 9:49. doi: 10.1186/1471-2377-9-49. http://www.biomedcentral.com/1471-2377/9/49.. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Teoh V, Sims J, Milgrom J. Psychosocial Predictors of Quality of Life in a Sample of Community-Dwelling Stroke Survivors: A Longitudinal Study. Topicsin Stroke Rehabilitation. 2009;16(2):157–166. doi: 10.1310/tsr1602-157. [DOI] [PubMed] [Google Scholar]
  • 3.Norrving B, Kissela B. The global burden of stroke and need for a continuum care. Neurology. 2013;80(Suppl 2):S5–S12. doi: 10.1212/WNL.0b013e3182762397. 2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Bays L C. Quality of life of stroke survivors: a research synthesis. [2014 Jan 13];Journal of Neuroscience Nursing. 2001 33(6):310. doi: 10.1097/01376517-200112000-00005. http://www.readcube.com/articles/10.1097/01376517-200112000-00005. [DOI] [PubMed] [Google Scholar]
  • 5.Lee DC, Lim HK, McKay WB. Towards an objective Interpretation of Surface EMG patterns: A Voluntary Response Index (VRI) Journal of Electromyography and Kinesiology. 2004;14:379–388. doi: 10.1016/j.jelekin.2003.10.006. [DOI] [PubMed] [Google Scholar]
  • 6.Bhogal SK, Teasell RW, Foley NC, Speechley MR. Community reintegration after stroke. Topics in Stroke Rehabilitation. 2003;10(2):107–129. doi: 10.1310/F50L-WEWE-6AJ4-64FK. [DOI] [PubMed] [Google Scholar]
  • 7.Kersten P, Ashburn A, George S, Low J. The Subjective Index for Physical and Social Outcome (SIPSO) in Stroke: investigation of its subscale structure. [2014 Jul 20];BMC Neurology. 2010 10:26. doi: 10.1186/1471-2377-10-26. http://link.springer.com/article/10.1186/1471-2377-10-26/fulltext.html. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Pang MYC, Lau RWK, Yeung PKC, Liao L, Chung RCK. Development and validation of the Chinese version of the Reintegration to Normal Living Index for use with stroke patients. Journal of Rehabilitation Medicine. 2011;43:243–250. doi: 10.2340/16501977-0660. [DOI] [PubMed] [Google Scholar]
  • 9.Pang MYC, Eng JJ, Miller WC. Determinants of satisfaction with community reintegration in individuals with stroke: role of balance self-efficacy. Physical Therapy. 2007;87(3):282–291. doi: 10.2522/ptj.20060142. PubMed. [DOI] [PubMed] [Google Scholar]
  • 10.Owolabi MO, Ogunniyi A. Profile of Health Related Quality of Life in Nigerian Stroke Survivors. European Journal of Neurology. 2009;16(1):54–62. doi: 10.1111/j.1468-1331.2008.02339.x. [DOI] [PubMed] [Google Scholar]
  • 11.Murtezani A, Hundozi H, Gashi S, Osmani T, Krasniqi V, Rama B. Factors Associated with Reintegration to Normal Living After Stroke. MED ARH. 2009;63(4):216–219. [PubMed] [Google Scholar]
  • 12.Griffen JA, Hanks RA, Meachen S. The reliability and validity of the Community Integration Measure in persons with traumatic brain injury. Rehabilitation Psychology. 2010;55(3):292–297. doi: 10.1037/a0020503. [DOI] [PubMed] [Google Scholar]
  • 13.Salzer MS. Columbia, Introduction. Columbia, MD: United States Psychiatric Rehabilitation Association; 2006. Psychiatric Rehabilitation Practice: A CPRP Preparation and Skills Workbook. [Google Scholar]
  • 14.McColl MA, Davies D, Carlson P, Johnston J, Minnes P. The Community Integration Measure: development and preliminary evaluation. Archive of Physical and Medical Rehabilitation. 2001;82:429–434. doi: 10.1053/apmr.2001.22195. [DOI] [PubMed] [Google Scholar]
  • 15.Sander AM, Clark A, Pappadis M. What is community integration anyway? Defining meaning following traumatic brain injury. Journal of Head Trauma Rehabilitation. 2010;25(2):121–127. doi: 10.1097/HTR.0b013e3181cd1635. [DOI] [PubMed] [Google Scholar]
  • 16.Bouffioulx E, Arnould C, Thonnard J. Satisfaction with activity and participation and its relationships with body functions, activities, or environmental factors in stroke patients. Archives of Physical Medicine and Rehabilitation. 2011;92:1404–1410. doi: 10.1016/j.apmr.2011.03.031. [DOI] [PubMed] [Google Scholar]
  • 17.Desrosiers J, Noreau L, Rochette A, Bourbonnais D, Bravo G, Bourget A. Predictors of long-term participation after stroke. Disability and Rehabilitation. 2006;28(4):221–230. doi: 10.1080/09638280500158372. [DOI] [PubMed] [Google Scholar]
  • 18.Daneski K, Coshall C, Tilling K, Wolfe CDA. Reliability and validity of a postal version of the Reintegration to Normal Living Index modified for use with stroke patients. Clinical Rehabilitation. 2003;17:835–839. doi: 10.1191/0269215503cr686oa. [DOI] [PubMed] [Google Scholar]
  • 19.Ostir GV, Smith PM, Smith D, Ottenbacher KJ. Functional status and satisfaction with community participation in persons with stroke following medical rehabilitation. Aging Clinical and Experimental Research. 2005;17(1):35–41. doi: 10.1007/BF03337718. [DOI] [PubMed] [Google Scholar]
  • 20.Salbach NM, Mayo NE, Robichaud-Ekstrand S, Hanley JA, Richards CL, Wood-Dauphine S. Balance self-efficacy and its relevance to physical function and perceived health status after stroke. Archives of Physical Medicine and Rehabilitation. 2006;87(3):364–370. doi: 10.1016/j.apmr.2005.11.017. [DOI] [PubMed] [Google Scholar]
  • 21.Marco YCP, Janice JE, William CM. Determinants of satisfaction with community reintegration in older adults with chronic stroke: Role of balance self-efficacy. Physical Therapyv. 2007;87(3):282–291. doi: 10.2522/ptj.20060142. [DOI] [PubMed] [Google Scholar]
  • 22.Madden S, Hopman WM, Bagg S, Vernal J, O'callagham CJ. Functional status and health related quality of life during inpatient stroke rehabilitation. American Journal of Physical and Medical Rehabilitation. 2006;85:831–838. doi: 10.1097/01.phm.0000240666.24142.f7. [DOI] [PubMed] [Google Scholar]
  • 23.Wood-Dauphinee S, Williams JI. Reintegration to normal living as a proxy to quality of life. Journal of Chronic Disability. 1987;40(6):491–502. doi: 10.1016/0021-9681(87)90005-1. [DOI] [PubMed] [Google Scholar]
  • 24.Obembe AO, Johnson OE, Fasuyi TF. Community reintegration among stroke survivors in Osun, Southwestern Nigeria. African Journal of Neurological Sciences. 2010;29(1):9–16. [Google Scholar]
  • 25.Obembe A, Mapayi B, Johnson O, Agunbiade T, Emechete A. Community reintegration in stroke survivors: Relationship with motor function and depression. Hong Kong Physiotherapy Journal. 2013;31:69–74. [Google Scholar]
  • 26.Maleka MED. The development of an outcome measure to assess community reintegration after stroke for patients living in poor socioeconomic urban and rural areas of South Africa. 2010. A thesis submitted to the Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, in fulfillment of the requirements for the degree of Doctor of Philosophy. [Google Scholar]
  • 27.May LA, Warren S. Measuring quality of Life of persons with spinal cord injury: external and structural validity. Spinal Cord. 2002;40(7):341–350. doi: 10.1038/sj.sc.3101311. PubMed. [DOI] [PubMed] [Google Scholar]
  • 28.Steiner A, Raybe K, Stuck AE, Aronow HU, Draper D, Rubenstein LZ, Beck JC. Measuring psychological aspects of well-being in older community residents: Performance of four short scales. The Gerontologist. 1996;36(1):54–62. doi: 10.1093/geront/36.1.54. [DOI] [PubMed] [Google Scholar]
  • 29.Korner-Bitensky N, Desrosiers J, Rochette A. A national survey of occupational therapists' practices related to participation post-stroke. Journal of Rehabilitation Medicine. 2008;40(4):291–297. doi: 10.2340/16501977-0167. [DOI] [PubMed] [Google Scholar]
  • 30.Wood-Dauphinee SL, Opzoomer A, Williams JI, Merchand B, Spitzer WO. Assessment of global function: the Reintegration to Normal Living Index. Archive of Physical and Medical Rehabilitation. 1988;69:583–590. [PubMed] [Google Scholar]
  • 31.Akosile CO, Fabunmi AA, Umunnah JO, Okoye CDA. Relationships between fall indices and physical function of Stroke survivors in Nigeria. International Journal of Therapy and Rehabilitation. 2011;18(9):487–491. [Google Scholar]
  • 32.Baseman S, Fischer K, Ward L, Bhattacharaya A. Community integration research: stroke survivors; The relationship of Physical function to social reintegration after stroke. Journal of Neuroscience Nursing. 2010;42(5):237–244. doi: 10.1097/jnn.0b013e3181ecafea. [DOI] [PubMed] [Google Scholar]
  • 33.Teasell RW, Foley NC, Bhogal SK, Speechley MR. An evidence-based review of stroke rehabilitation. Topics in Stroke Rehabilitation. 2003;10(1):29–58. doi: 10.1310/8YNA-1YHK-YMHB-XTE1. [DOI] [PubMed] [Google Scholar]

Articles from African Health Sciences are provided here courtesy of Makerere University Medical School

RESOURCES