Table 1 Characteristics of included studies
From: Instruments used to assess quality of life of older adults in African countries: a scoping review
Authors, year | Title | Country | Study design | Population, minimum age | Setting | QoL instrument | |
|---|---|---|---|---|---|---|---|
1 | Xavier Gómez-Olivé et al., 2010 [14] | Assessing health and well-being among older people in rural South Africa. | South- Africa | Secondary data analysis of WHO- SAGE study | • n = 4085 • Age = > 50 years | Community | EUROHIS-QOL-8 |
2 | Wilunda, et al., 2015 [15] | Health and ageing in Nairobi’s informal settlements- evidence from the INDEPTH: a cross sectional study | Kenya | Secondary data analysis of WHO- SAGE and INDEPTH study | • n = 1878 • Age > 50 years | Community /Slum | EUROHIS-QOL-8 |
3 | Kyobutungi, et al., 2010 [16] | The health and well-being of older people in Nairobi’s slums | Kenya | Secondary data analysis on NUHDSS database | • n = 2072 • Age > 50 years | Slum | EUROHIS-QOL-8 |
4 | Xavier Gómez-Olivé et al., 2014 [17] | Social conditions and disability related to the mortality of older people in rural South Africa. | South- Africa | Secondary data analysis of WHO- SAGE study | • n = 4047 • 75.2% female • Age > 50 years | Community | EUROHIS-QOL-8 |
5 | Xavier Gómez-Olivé et al., 2013 [18] | Self-reported health and health care use in an ageing population in the Agincourt sub-district of rural South Africa. | South- Africa | Secondary data analysis of WHO- SAGE study | • n = 425 • 66.8% female • Age > 50 years | Community | EUROHIS-QOL-8 |
6 | Mwanyangala, et al., 2010 [19] | Health status and quality of life among older adults in rural Tanzania | Tanzania | Secondary data analysis of SAGE study | • n = 5131 • Age > 50 years | Community | EUROHIS-QOL-8 |
7 | Ralston et al., 2019 [20]. | Policy shift: South Africa’s Old Age Pensions’ Influence on Perceived Quality of Life | South- Africa | Secondary data analysis of SAGE study | • n = 9341 • Age > 50 year | Community | EUROHIS-QOL-8 |
8 | Macia et al., 2015 [21] | Exploring Life Satisfaction Among Older Adults in Dakar. | Senegal | Cross sectional study | • n = 500 • Age > 50 years | Community | SWLS |
9 | Gureje et al., 2014 [22] | Profile and determinants of successful aging in the Ibadan Study of Ageing. | Nigeria | Secondary data analysis of longitudinal study | • n = 930 • 38.9% Female • Age > 65 years | Community | SWLS |
10 | Gutiérrez et al., 2013 [23] | Predicting life satisfaction of the Angolan elderly: a structural model. | Angola | Cross sectional study | • n = 1003 • 65.4% females • Age > 60 years | Long-term care facilities | SWLS |
11 | Van Biljon et al., 2015 [24] | A partial validation of the WHOQOL-OLD in a sample of older people in South Africa | South- Africa | Cross sectional study | • n = 176 • 71.6% female • Age > 60 years | Long Term Facilities | WHOQOL-OLD |
12 | Akosile et al., 2018 [25] | Depression, functional disability and quality of life among Nigerian older adults: Prevalences and relationships. | Nigeria | Cross sectional study | • n = 206 • 56.3% female • Age > 65 years | Community | WHOQOL-OLD |
13 | Mugomeri et al., 2017 [26] | Quality of Life of the Elderly Receiving Old Age Pension in Lesotho. | Lesotho | Cross sectional study | • n = 385 • Age > 70 years | Community | WHOQOL-BREF |
14 | Gureje et.al 2010 [27] | Determinants of quality of life of elderly Nigerians: results from the Ibadan Study of Ageing | Nigeria | Longitudinal study | • n = 2175 • Age > 65 years | Community | WHOQOL-BREF |
15 | Akosile et al., 2014 [28] | Fear of Falling and Quality of Life of Apparently-Healthy Elderly Individuals from a Nigerian Population | Nigeria | Cross sectional study | • n = 261 • 49.8% female • Age > 65 years | Community | SF-36 |
16 | Ogunyemi et al., 2018 [29] | Health-Related Quality of Life of the Elderly in Institutional Care and Non-Institutional Care in Southwestern Nigeria: A Comparative Study. | Nigeria | Cross sectional study | • n = 360 • Age > 60 years | Community | SF-36 |
17 | Younsi, 2015 [30] | Health-Related Quality-of-Life Measures: Evidence from Tunisian Population Using the SF-12 Health Survey | Tunisia | Cross sectional study | • n = 3864 • 51.9% Female • Age 18–85 years (50–59: n = 711; 60–74: n = 580; 75–85: 224) | Community | SF-12 |
18 | Ramocha et al., 2017 [12] | Quality of life and physical activity among older adults living in institutions compared to the community | South- Africa | Cross sectional study | • N = 80 • 42.5% • Age > 60 | Community and nursing home | RAND-36 |