Umar Muhammad Bello1,2, Muhammad Chutiyami3,4, Dauda Salihu5, Sham'un Isah Abdu6, Buhari Abdullahi Tafida7, Abdulhamid Ardo Jabbo8, Adamu Gamawa7, Lawan Umar9, Aliyu Lawan10, Tiev Miller2, Stanley John Winser2. 1. Yobe State University Teaching Hospital, Damaturu, Yobe State, Nigeria. 2. Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China. 3. Faculty of Human Sciences, Macquarie University, Sydney, Australia. muhammad.chutiyami@hdr.mq.edu.au. 4. Shehu Sule College of Nursing and Midwifery Damaturu, Damaturu, Yobe State, Nigeria. muhammad.chutiyami@hdr.mq.edu.au. 5. School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China. 6. Physiotherapy Department, Kazaure General Hospital, Kazaure, Jigawa State, Nigeria. 7. Physiotherapy Department, Bauchi State Specialist Hospital, Bauchi, Bauchi State, Nigeria. 8. Department of Physiotherapy, University of Maiduguri Teaching Hospital, Maiduguri, Borno State, Nigeria. 9. Physiotherapy Department, Federal Medical Centre, Azare, Bauchi State, Nigeria. 10. Department of Rehabilitation Sciences, University of Maiduguri, Maiduguri, Borno State, Nigeria.
Abstract
PURPOSE: Functional impairments and socioeconomic constraints associated with stroke affect quality of life (QoL). With limited care and social support resources, there is a greater anticipated decline in QoL among stroke survivors in Africa. This study aims to examine post-stroke QoL, properties of outcome measures adopted and predictors of the QoL among African stroke survivors. METHODS: African Journals Online, CINAHL, PsychINFO, PubMed and Web of Science databases were searched from inception to February 2020. Methodological quality was assessed using the Agency for Healthcare Research and Quality (ARHQ) methodology checklist for observational studies. RESULTS: Twenty-eight studies recruiting 2572 (76.4%) stroke survivors and 795 (23.6%) healthy volunteers were included. Studies were conducted in eight African countries between 2007 and 2019. Methodological quality of studies was good. Overall, stroke survivors reported a low QoL. Six studies comparing QoL between stroke survivors and healthy controls were pooled for meta-analysis. Results showed a biased-adjusted standardised mean difference (Hedges's g) of 1.13 (95% CI 0.71 to 1.56; p < 0.001), indicating better QoL among healthy controls. Only 4 (14.3%) studies used translated or cross-culturally adapted QoL assessment tools. The most commonly reported predictor of QoL was post-stroke disability (35.8% of studies) which is followed by depression (28.6%) and stroke severity (28.6%). CONCLUSIONS: Overall, African stroke survivors reported comparatively lower QoL as compared to age-matched healthy controls. This highlights the need for cross-culturally validated assessment tools and more robust post-stroke QoL evaluation across the African continent. To improve QoL of stroke survivors in Africa, early interventions should focus on reducing disability and depression associated with stroke. PROSPERO registration number: CRD42019137653.
PURPOSE: Functional impairments and socioeconomic constraints associated with stroke affect quality of life (QoL). With limited care and social support resources, there is a greater anticipated decline in QoL among stroke survivors in Africa. This study aims to examine post-stroke QoL, properties of outcome measures adopted and predictors of the QoL among African stroke survivors. METHODS: African Journals Online, CINAHL, PsychINFO, PubMed and Web of Science databases were searched from inception to February 2020. Methodological quality was assessed using the Agency for Healthcare Research and Quality (ARHQ) methodology checklist for observational studies. RESULTS: Twenty-eight studies recruiting 2572 (76.4%) stroke survivors and 795 (23.6%) healthy volunteers were included. Studies were conducted in eight African countries between 2007 and 2019. Methodological quality of studies was good. Overall, stroke survivors reported a low QoL. Six studies comparing QoL between stroke survivors and healthy controls were pooled for meta-analysis. Results showed a biased-adjusted standardised mean difference (Hedges's g) of 1.13 (95% CI 0.71 to 1.56; p < 0.001), indicating better QoL among healthy controls. Only 4 (14.3%) studies used translated or cross-culturally adapted QoL assessment tools. The most commonly reported predictor of QoL was post-stroke disability (35.8% of studies) which is followed by depression (28.6%) and stroke severity (28.6%). CONCLUSIONS: Overall, African stroke survivors reported comparatively lower QoL as compared to age-matched healthy controls. This highlights the need for cross-culturally validated assessment tools and more robust post-stroke QoL evaluation across the African continent. To improve QoL of stroke survivors in Africa, early interventions should focus on reducing disability and depression associated with stroke. PROSPERO registration number: CRD42019137653.
Entities:
Keywords:
Africa; Cross-cultural; Predictors; Quality of life; Stroke survivors
Authors: Thu T M Pham; Manh-Tan Vu; Thuc C Luong; Khue M Pham; Lien T K Nguyen; Minh H Nguyen; Binh N Do; Hoang C Nguyen; Tuan V Tran; Thao T P Nguyen; Hoang P Le; Cuong Q Tran; Kien T Nguyen; Shwu-Huey Yang; Chaur-Jong Hu; Chyi-Huey Bai; Tuyen Van Duong Journal: Front Med (Lausanne) Date: 2022-05-06
Authors: Rajesh N Kalaria; Mayowa O Owolabi; Rufus O Akinyemi; Bruce Ovbiagele; Olaleye A Adeniji; Fred S Sarfo; Foad Abd-Allah; Thierry Adoukonou; Okechukwu S Ogah; Pamela Naidoo; Albertino Damasceno; Richard W Walker; Adesola Ogunniyi Journal: Nat Rev Neurol Date: 2021-09-15 Impact factor: 42.937