|Year : 2022 | Volume
| Issue : 3 | Page : 376-382
The quality of life of stroke survivors in the Indian setting: A systematic review and meta-analysis
Manju Dhandapani1, Jaison Joseph2, Suresh Sharma3, Surekha Dabla4, Biji P Varkey5, Venkata L Narasimha6, Abin Varghese7, Sivashanmugam Dhandapani8
1 Lecturer, National Institute of Nursing Education, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
2 Department of Psychiatric Nursing, College of Nursing, Pt. B.D. Sharma University of Health Sciences, Rohtak, Haryana, India
3 Principal, College of Nursing, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
4 Head of Department, Department of Neurology, Pt. B.D. Sharma University of Health Sciences, Rohtak, Haryana, India
5 Nursing Officer, Department of Neurology, Post Graduate Institute of Medical Sciences, Pt. BD Sharma University of Health Sciences, Rohtak, Haryana, India
6 Assistant Professor, Department of Psychiatry, AIIMS, Deoghar, Jharkhand, India
7 Assistant Professor, College of Nursing, AIIMS, Nagpur, Maharashtra, India
8 Professor, Department of Neurosurgery, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India
|Date of Submission||13-Dec-2021|
|Date of Decision||17-Jan-2022|
|Date of Acceptance||27-Jan-2022|
|Date of Web Publication||06-Apr-2022|
Department of Psychiatric Nursing, College of Nursing, Pt. B.D. Sharma University of Health Sciences, Rohtak, Haryana - 124001
Source of Support: None, Conflict of Interest: None
| Abstract|| |
Background: The significant burden of stroke on the mortality rates of developing countries, including India, is well-documented in the literature. However, robust data regarding the aggregates of evidence on the quality of life (QOL) of stroke survivors is limited. Objective: To gather relevant information for policymakers on the QOL of stroke survivors based on observational studies conducted in the Indian setting. Methods: We searched PubMed, Scopus, and Google Scholar for studies conducted in the Indian setting. The methodological quality of each study was scored, and data were extracted from the published reports. The risk of bias assessment was conducted based on the JBI Critical Appraisal Checklist criteria. The relevant data regarding QOL were analyzed by a random effects model using R software. Results: 16 studies were included in the systematic review in which the majority of the studies recruited study participants in the hospital-based setting with an average duration of 3-6 months following the stroke episode. Our findings suggest that the pooled mean quality of life in the four dimensions of the World Health Organization Quality of Life instrument (WHOQOL-BREF) were ranged from 46.86 to 61.37 and the overall Stroke Specific Quality of Life scale (SS-QOL) mean score was 157.16. There was a significant inconsistency among the included studies as heterogeneity was high (I2 >97%). Conclusion: Assessment of the quality of life among stroke survivors is a crucial step to predict the illness' imposed burden and ascertain the effectiveness of the treatment. The present meta-analysis elucidates the aggregate estimates of quality of life and contributes to the research on the quality of life following a stroke in an Indian context.
Keywords: India, quality of life, stroke, stroke survivors
|How to cite this article:|
Dhandapani M, Joseph J, Sharma S, Dabla S, Varkey BP, Narasimha VL, Varghese A, Dhandapani S. The quality of life of stroke survivors in the Indian setting: A systematic review and meta-analysis. Ann Indian Acad Neurol 2022;25:376-82
|How to cite this URL:|
Dhandapani M, Joseph J, Sharma S, Dabla S, Varkey BP, Narasimha VL, Varghese A, Dhandapani S. The quality of life of stroke survivors in the Indian setting: A systematic review and meta-analysis. Ann Indian Acad Neurol [serial online] 2022 [cited 2022 Aug 9];25:376-82. Available from: https://www.annalsofian.org/text.asp?2022/25/3/376/342606
| Background|| |
Stroke is the second leading cause of death and the third cause of disability-adjusted life years (DALYs) globally. The available evidence suggests that 85.5% of total stroke deaths are reported from low- and middle-income countries compared to high-income countries. Apart from that, DALYs are significantly high in low-income countries. Low resources and continued exposure to modifiable risk factors have contributed to higher disability rates and mortality among patients with stroke in low- and middle-income countries. In particular, countries like India have reported that around 14% of global DALY have been lost due to stroke. It has been reported that 50–70% of stroke survivors regain functional independence, but 15–30% are permanently disabled, and 20% require institutional care at 3 months after onset. The stroke imposes multiple limitations on sensorimotor, cognitive, and behavioral levels, posing a significant challenge in functional independence, and results in restrictions in the personal, social and occupational role, thereby immensely affecting the QOL. Developed countries have well-established rehabilitation services that significantly limit functional ailments and provide a better QOL among stroke survivors. However, in low- and middle-income countries, caregivers play rehabilitation roles, creating an immense emotional and physical strain on them. Furthermore, caring for a stroke patient is burdensome, and may influence several objective and subjective aspects of the caregiver's life, such as physical and emotional health, morale, work-life balance, finances, social mobility, interpersonal relationships, and sex life. Consequently, studies have reported alarmingly higher levels of anxiety and depression among caregivers of stroke patients, varying from 17–50%.
QOL assessment has been an essential part of evaluating stroke patients. It includes an individual's perception of their position in life in the context of the cultural and value system in which they live with their expectations and concerns. Stroke has a significant influence on the patient's quality of life. Stroke has many negative consequences on an individual's life ranging from hospitalization and problems in functional independence to cognitive and communication difficulties. Indeed, most patients survive the initial event and live with multiple disabilities such as hemiparesis, rigidity, and neuropsychological impairment. The significant burden of stroke in the Indian population is well-documented in the literature. Further, many individual studies have evaluated the QOL of stroke survivors in the Indian subcontinent. However, robust data regarding the aggregates of evidence on the QOL of stroke survivors is limited. The availability of comprehensive information addressing the overall quality of life is essential for steering strategies to reduce the disease burden. Henceforth, we undertook the review to systematically supplement data for policymakers to target interventions designed to maximize and improve the health-related QOL of stroke survivors.
To gather relevant information for policymakers on the QOL of stroke survivors based on observational studies conducted in the Indian setting.
| Methods|| |
The present review was prepared as per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, and the study protocol was registered in the PROSPERO (CRDXXXXXXXX). We searched PubMed, Scopus, and Google Scholar, and the following keywords used in various combinations: “Quality of life”, “Stroke Survivors”, “India”. The relevant journals and cross-references of the identified studies were further explored for additional studies. The data search was carried out by two investigators (JJ & MD). The screening was performed by two investigators (SD, BV) who further appraised the full texts of appropriated records to reach a common consensus regarding the inclusion and exclusion of individual studies
Observational studies (Cross-sectional and longitudinal studies) conducted in India reporting the quality of life of stroke survivors measured on a valid assessment scale were included. The review was restricted to the English language with no limit to the year of publication. Studies with inadequate data, studies published as editorials or letters to the editor, conference abstracts, expert opinions, or suggestions were excluded.
One researcher (BV) selected potentially relevant articles and was involved in the preliminary data extraction. The search results were directly downloaded and imported into Zotero software, and searched further for more relevant studies in their bibliographic list. (For a search strategy example in PubMed, see [Supplementary Material 1]) Additionally, one investigator (AV) further screened all the eligible studies. If the title and abstracts could not provide enough information, the full-text articles were obtained, then eligibility was screened. A mutual consensus resolved disagreements between the authors. Finally, after reading and discussing a full-text version of the shortlisted publications, the researcher selected the qualified studies based on eligibility criteria. Data extraction was done based on the following study characteristics: author (year of publication), study setting, sample size, age in years, duration of a stroke, survey tool, and the major findings. The extracted data were cross-verified by the author (MD).
Assessment of risk of bias
The JBI Critical Appraisal Checklist was used for the risk of bias assessment of the included studies (available on https://synthesismanual.jbi.global). This checklist contains eight criteria with a total quality score ranging from 1 to 8. The score of the included studies was not considered for the study selection criterion. Two review authors independently assessed the risk of bias of the included studies (SS and SD). A third independent reviewer (SSD) addressed discrepancies in the quality scoring of two reviewers.
R software was used to perform this meta-analysis, and the pooled estimate of QOL was estimated using inverse-variance weighting method. Assuming the significant inconsistency among the studies, a random-effects meta-analysis model was used, and I2 statistics were calculated to measure heterogeneity among the studies. The heterogeneity was considered mild, moderate, or high when the I2 values were 25–50%, 51–75%, and >75%, respectively. The publication bias was considered if there were enough eligible studies (more than ten) to be evaluated for the meta-analysis.
| Results|| |
Identification of studies
The database search identified 1232 reports, of which 859 were excluded based on title and abstract screening. After eliminating duplicates, the full texts of 128 articles were retrieved for detailed evaluation, and 112 of these were excluded for reasons summarized in [Figure 1]. Therefore, 16 eligible articles were identified and included in the systematic review [Table 1].,,,,,,,,,,,,,,,
All the included studies were observational, and the sample size ranged from 20 to 200. While most of the studies recruited study participants in the hospital-based setting, only two studies were conducted among community-based populations., Most of the studies were conducted in the southern part of India (Kerala,,, Tamil Nadu,, Karnataka,, and Andhra Pradesh) in which the age of the study subjects was largely in the late fifties. It was observed that many of the studies included subjects with a duration of 3–6 months following the stroke episode.,,,,,,, The assessment of QOL was most commonly done by using the World Health Organization Quality of Life instrument (WHOQOL-BREF),,,,,,, and Stroke Specific Quality of Life scale (SS-QOL).,,,, WHOQOL-BREF is a self-administered instrument developed by the WHO to document QOL in four domains such as physical, psychological, social, and environmental. It is a 26-item questionnaire that measures the QOL on a raw score from 0-100 in which the higher the score, the better the QOL. The SS-QOL is a disease-specific QOL measure, and consists of 49 items containing 12 domains in which the total score ranges from 49 to 245, with higher scores indicating a better QOL. Other scales used to measure the QOL include the 36-Item Short-Form Health Survey (SF-36),, and European Quality of Life Five Dimensions (EQ-5D-5L). The SF-36 is a popular instrument for evaluating health-related quality of life. The SF-36 measures QOL in eight scales: physical functioning (PF), role physical (RP), bodily pain (BP), general health (GH), vitality (VT), social functioning (SF), role emotional (RE), and mental health (MH). EQ-5D-5L is a brief measure of health that has been used extensively in stroke and has five dimensions (mobility, self-care, usual activities, pain/discomfort, and anxiety/depression) with five levels of severity (no problems, slight problems, moderate problems, severe problems, and extreme problems). In eight studies, the level of disability was assessed using the Functional Independence Measure (FIM) and Barthel Index (BI). Some of the studies evaluated the cognitive and psychological status of the study subjects by using Mini-Mental State Exam (MMSE), Montreal Cognitive Assessment (MOCA), Hamilton Depression Rating Scale (HAM-D), and Beck Depression Inventory (BDI).
The quality assessment of the studies using the JBI checklist is estimated in [Table 2]. Most of the studies had credible information about the eligibility criteria, study population, setting, and scale for assessing the quality of life. The appropriate sample size calculation was not estimated in any of the studies. The reporting structure of the influence of confounding variables was poorly followed in more than half of the studies.
Quality of life
The assessment tools for the quality of life were heterogeneous across the studies. Among the 16 studies on QOL, 8 did not include in the meta-analysis due to inadequate data based on the assessment tools (WHOQOL-BREF: Did not mention all the domains of QOL in two studies; SS-QOL: Did not mention the overall mean QOL in two studies; SF-36: Did not mention all the domains of QOL in three studies, EQ-5D-5L: Only one study was available). Finally, 8 distinct studies which used WHOQOL-BREF (n = 5) and SS-QOL (n = 3) for measuring the quality of life were included in the meta-analysis. Based on the 5 studies, the pooled mean converted scores of the QOL for the various domains of WHOQOL-BREF were as follows: physical domain 46.86 (95% C.I.: 36.76 to 56.95), psychological domain 50.00 (95% C.I.: 35.78 to 64.22), social domain 61.37 (95% C.I.: 49.40 to 73.35), environmental domain 55.13 (95% C.I.: 42.07 to 68.19). 3 studies estimated the overall QOL based on the SS-QOL scale, in which the pooled mean score was 157.16 (95% C.I.: 100.36 to 213.96). There was a significant heterogeneity on the QOL outcome measures (physical domain I2 = 97%; psychological domain I2 = 98%; social domain I2 = 98%; environmental domain I2 = 98%; overall SS-QOL scores I2 = 97%). A forest plot showing the pooled estimates of QOL scores is shown in [Figure 2](a)–(d). 3 studies estimated QOL by using the SF-36, in which the scores were lower in the physical functioning aspects compared to other domains. One study used the EQ-5D-5L to ascertain the QOL, which noted significant problems in the routine activities and self-care measures.
|Figure 2: Quality of life based on WHOQOL-BREF using inverse-variance weighting methods|
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| Discussion|| |
Assessment of the quality of life of stroke survivors is crucial to predict the imposed burden of the illness and ascertain the treatment's effectiveness. It further adds some insights into the patients' reactions to the illness that might be an indicator of the impact of the impairment on the life of the patients. Though several population-based surveys on stroke were conducted from different parts of India, there is a dearth of evidence of a systematic summary of the post-stroke QOL in this setting. The present study elucidates the aggregate estimates of QOL based on the observational studies conducted among stroke survivors of India. For this purpose, 8 distinct studies which used WHOQOL-BREF (n = 5) and SS-QOL (n = 3) for measuring the quality of life were included in the meta-analysis. Our findings suggest that the pooled mean quality of life in the four dimensions of the WHOQOL-BREF were ranged from 46.86 to 61.37 and the overall SS-QOL mean score was 157.16. There was a significant inconsistency among the included studies as the level of heterogeneity was high (I2 >97%). However, the present study provides a systematic account of the QOL of stroke survivors and contributes to very little research on the QOL following a stroke in an Indian context.
Patients with stroke usually have a lower QOL than the general population. However, there is hardly any comprehensive data in India about the quality of life of stroke survivors. As per the current study, the pooled mean QOL scores based on WHOQOL-BREF were 46.86 (95% C.I.: 36.76 to 56.95), 50.00 (95% CI: 35.78 to 64.22), 61.37 (95% CI: 49.40 to 73.35), and 55.13 (95% CI: 42.07 to 68.19) in the physical, psychological, social, and environmental domains respectively. There are no cut-off points for interpreting the QOL measured by WHOQOL-BREF. It is important to note that the physical domain of quality of life was the area most affected in our study. Some of the earlier studies using WHOQOL-BREF conducted across the globe also reported similar findings.,, To cite, a study from Hong Kong observed the lowest quality of life in the physical domain (mean 56.30), followed by psychological (mean 58.49), social relationships (mean 66.62), and environment (mean 67.95) among patients 3 months after a stroke episode. A study from India reported lower mean scores of the WHOQOL-BREF in the physical domain (38.83) followed by psychological (50.76), social (48.53), and environment (49.13) among clients with neurological illness, including stroke. Contrary to these findings, Baune et al. (2006) reported significantly lower scores in almost all of the domains of the WHOQOL-BREF among stroke survivors. In the present study, the overall QOL of stroke survivors based on the SS-QOL scale was 157.16. A relatively similar SS-QOL based quality of life was also reported from other low- and middle-income countries such as Pakistan (164.18) and southeast Nigeria (156.71)., Besides, there is a significant gap in the health care–related benefits for the recovering and debilitated stroke survivor in India, and many other developing nations compared to developed nations. Further, the burden of stroke in the developing world is likely to increase substantially, partly due to ongoing demographic changes, including the aging of the population and health transitions in these countries. Furthermore, the post-stroke emotional disturbances, depression, cognitive deficits and dementia, and functional deficits adversely influence the quality of life of the patients and their family caregivers. Stroke severity and socioeconomic status are among the major factors that result in caregiver burden. Under-availability and under-utilization of rehabilitation services are reported in India primarily due to socioeconomic factors. These pieces of evidence highlight the importance of considering the influence of potential confounders such as stroke severity, its duration, and co-occurring illness before arriving at an inference about the QOL following stroke survivors.
The risk of bias assessment of the included studies has implications for the generalization of our findings. Altogether, the reporting structure was poorly followed in the majority of the studies. The sample size calculation and clinical characteristics of stroke were not addressed in many studies. The lacuna in the available studies includes the lack of longitudinal studies and heterogeneous instruments, making the comparisons an arduous task. In addition to the observed lacunae, future research may also focus upon interventional studies and trials to improve the QOL among this vulnerable population. The current findings provide an evidence base to successfully meet the challenges ahead while devising appropriate strategies to curtail disabilities among stroke survivors. There are certain clinical implications to the present review. It is evident that QOL is affected following a stroke episode, and identification of the affected domains is crucial to plan for subsequent management. Involvement of different quality of life domains opens an area of discussion regarding the importance of holistic approaches intertwining pharmacological, physical, cognitive, psycho-social, and spiritual-based rehabilitation programs among stroke survivors.
Strength and limitations
The primary uniqueness of this study is its novelty of a meta analysis reflecting the magnitude of the QOL of stroke survivors in the Indian context. There are certain limitations to generalizing our findings. The results are purely based on observational studies with serious methodological limitations in sampling bias and respondent bias. The level of heterogeneity of the included studies was high due to the suboptimal nature of the quality of the included studies with relatively small sample sizes and multiple scales used across studies. Therefore, findings should be interpreted accordingly.
| Conclusion|| |
Assessment of the quality of life among stroke survivors is crucial to predict the imposed burden of the illness and ascertain the treatment's effectiveness. The present meta-analysis elucidates the aggregate estimates of quality of life and contributes to the research on the quality of life following a stroke in an Indian context.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Lanas F, Seron P. Facing the stroke burden worldwide. Lancet Glob Health 2021;9:e235-6.
Feigin VL, Lawes CM, Bennett DA, Barker-Collo SL, Parag V. Worldwide stroke incidence and early case fatality reported in 56 population-based studies: A systematic review. Lancet Neurol 2009;8:355-69.
India State-Level Disease Burden Initiative CVD Collaborators. The changing patterns of cardiovascular diseases and their risk factors in the states of India: The Global Burden of Disease Study 1990–2016. Lancet Glob Health 2018;6:e1339-51.
Rosamond W, Flegal K, Furie K, Go A, Greenlund K, Haase N, et al
. Heart disease and stroke statistics-2008 Update: A report from the American heart association statistics committee and stroke statistics subcommittee. Circulation 2008;117:e25-146.
Cerniauskaite M, Quintas R, Koutsogeorgou E, Meucci P, Sattin D, Leonardi M, et al
. Quality-of-life and disability in patients with stroke. Am J Phys Med Rehabil 2012;91:S39-47.
Kum C, Miller EL, Jones H, Kean EB, Kreitzer N, Bakas T. Theoretically based factors affecting stroke family caregiver health: An integrative review. West J Nurs Res 2021;1939459211050955. doi: 10.1177/01939459211050955.
Hu P, Yang Q, Kong L, Hu L, Zeng L. Relationship between the anxiety/depression and care burden of the major caregiver of stroke patients. Medicine 2018;97:e12638.
Fischer U, Baumgartner A, Arnold M, Nedeltchev K, Gralla J, De Marchis GM, et al
. What is a minor stroke? Stroke 2010;41:661-6.
Donkor ES. Stroke in the 21st
Century: A snapshot of the burden, epidemiology, and quality of life. Stroke Res Treat 2018;2018:3238165.
Cramer SC, Nelles G, Benson RR, Kaplan JD, Parker RA, Kwong KK, et al
. A functional MRI study of subjects recovered from hemiparetic stroke. Stroke 1997;28:2518-27.
Khurana S, Gourie-Devi M, Sharma S, Kushwaha S. Burden of stroke in India during 1960 to 2018: A systematic review and meta-analysis of community based surveys. Neurol India 2021;69:547.
Moher D, Liberati A, Tetzlaff J, Altman DG; PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. BMJ 2009;339:332-6.
Raju RS, Sarma PS, Pandian JD. Psycho-social problems, quality of life, and functional independence among Indian stroke survivors. Stroke 2010;41:2932-7.
Ganjiwale D, Ganjiwale J, Parikh S. Association of quality of life of carers with quality of life and functional independence of stroke survivors. J Fam Med Prim Care 2016;5:129-33.
Jha N, Varma P. Quality of life of Stroke survivors. Int J Sci Res 2016;5:824-5.
Ahmed T, Tamanna, Kumar R, Bahurupi Y. Factors affecting quality of life among post-stroke patients in the sub-Himalayan region. J Neurosci Rural Pract 2020;11:616-22.
Sahu RK, Kumar S, Yadav P. A study on the quality of life among stroke survivors: A cross sectional study. J Med Res Innov 2021;5:e000244.
Shetty S, Sricharan, Kundapur R. Quality of life in stroke patients-A qualitative study. J Health Allied Sci NU 2020;6:10-3.
Isaac V, Stewart R, Krishnamoorthy ES. Caregiver burden and quality of life of older persons with stroke: A community hospital study in South India. J Appl Gerontol 2011;30:643-54.
Kumar P, Nagar P, Parmar L. Quality of life in recent stroke patients and burden on caregivers in Gujarat state of Western India. J Pharma Res Int 2021;33:45-53.
Muralidharan DP. Quality of life in stroke survivors in Central Kerala. J Med Sci Clin Res 2019;7:986-95.
Roy KA. Quality of life and psycho-social problems of persons after stroke. Int J Adv Res 2015;3:166-73.
Rajan B, Pruthvish S, Lalitha K, Tyloth M, Murthy NS. Assessment of quality of life among stroke survivors: A longitudinal study. Int J Community Med Public Health 2019;6:1316-23.
Mudaliar MR, Yiragamreddy SR, Tejashwani PP, Umapathi S, Sake N, Sharma S. Quality of life in stroke patients using SSQoL scale and Barthel Index. Indian J Pharm Pract 2018;11:44-50.
Agni P, Lokhandwala K. Impact of caregiver strain on the quality of life of stroke patients. Int J Sci Res 2015;6:2319-7064.
Nesan GS, Kundapur R. A study on health-related quality of life among the stroke patients in a tertiary care hospital, Mangalore. J Health Allied Sci NU 2020;8:7-10.
Chandran P, Shenoy D, Thavody J, Lilabi M. Assessment of quality of life of stroke survivors in a rural area of North Kerala, India. Int J Community Med Public Health 2017;4:841-6.
Jayaraman J, Jagadeesan M. Quality of life of post stroke patients and their caretaker in Chennai. Indian J Forensic Med Toxicol 2021;15:2614-9.
Saxena S, Chandiramani K, Bhargava R; World Health Organization Quality of Life. WHOQOL-Hindi: A questionnaire for assessing quality of life in health care settings in India. Natl Med J India 1998;11:160-5.
Williams LS, Weinberger M, Harris LE, Clark DO, Biller J. Development of a stroke-specific quality of life scale. Stroke 1999;30:1362-9.
Herdman M, Gudex C, Lloyd A, Janssen M, Kind P, Parkin D, et al
. Development and preliminary testing of the new five-level version of EQ-5D (EQ-5D-5L). Qual Life Res 2011;20:1727-36.
Burholt V, Nash P. Short form 36 (SF-36) health survey questionnaire: Normative data for Wales. J Public Health 2011;33:587-603.
Zalihić A, Markotić V, Mabić M, Cerni-Obrdalj E, Zalihić D, Pivić G, et al
. Differences in quality of life after stroke and myocardial infarction. Psychiatr Danub 2010;22:241-8.
Butsing N, Tipayamongkholgul M, Ratanakorn D, Suwannapong N, Bundhamcharoen K. Social support, functional outcome and quality of life among stroke survivors in an urban area. J Pacific Rim Psychol 2019;13:e4. doi: 10.1017/PRP. 2019.2.
Pan JH, Song XY, Lee SY, Kwok T. Longitudinal analysis of quality of life for stroke survivors using latent curve models. Stroke 2008;39:2795-802.
Gupta A, Deepika S, Taly AB, Srivastava A, Surender V, Thyloth M. Quality of life and psychological problems in patients undergoing neurological rehabilitation. Ann Indian Acad Neurol 2008;11:225-30.
] [Full text]
Baune BT, Aljeesh Y. The association of psychological stress and health related quality of life among patients with stroke and hypertension in Gaza Strip. Ann Gen Psychiatry 2006;5:1-8.
Khalid W, Rozi S, Ali TS, Azam I, Mullen MT, Illyas S, et al
. Quality of life after stroke in Pakistan. BMC Neurol 2016;16:1-2.
Akosile CO, Adegoke B, Ezeife CA, Maruf FA, Ibikunle PO, Johnson OE, et al
. Quality of life and sex-differences in a South-Eastern Nigerian stroke sample. Afr J Neurol Sci 2013;32:19-25.
Chandel M. Assessment of cognitive-behavioral symptoms and functional status among stroke survivors. Manipal J Nurs Health Sci 2020;6:8.
Mahak C, Shashi, Yashomati, Hemlata, Manisha N, Sandhya G, et al
. Assessment of utilization of rehabilitation services among stroke survivors. J Neurosci Rural Pract 2018;9:461-7.
] [Full text]
Kamalakannan S, Gudlavalleti AS, Gudlavalleti VS, Goenka S, Kuper H. Incidence & prevalence of stroke in India: A systematic review. Indian J Med Res 2017;146:175-85.
] [Full text]
Whitehead S, Baalbergen E. Post-stroke rehabilitation. S Afr Med J 2019;109:81-3.
[Figure 1], [Figure 2]
[Table 1], [Table 2]