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. 2023 Dec 23;8(4):igad137.
doi: 10.1093/geroni/igad137. eCollection 2024.

Developing a Standardized Questionnaire for Measuring Older Adult's Health and Well-Being in Kenya

Lucy W Maina  1 , Gloria Chepngeno-Langat  2   3 , Samuel M Mwangi  1
Affiliations

Developing a Standardized Questionnaire for Measuring Older Adult's Health and Well-Being in Kenya

Lucy W Maina et al. Innov Aging. .

Abstract

Background and objectives: Policy and program interventions for older adults 60 years or older in Africa have consistently been undermined by a lack of vital data as they are usually excluded from nationally representative population surveys. The Health and Wellbeing of Older Persons in Kenya (HWOPs-1) study developed a standardized assessment questionnaire that can be used for periodic data generation. This study presents how the questionnaire was developed and examines its internal consistency and psychometric properties of the health module.

Research design and methods: The development and validation of the HWOPs-1 questionnaire was a 3-step process. Step 1 was a review of 19 panel studies and 2 national level surveys followed by a wide consultation with key experts and stakeholders on aging. The 3rd step was validation of the questionnaire with a cross-section of a representative sample to test its applicability and adaptability in a mix of rural and semi-urban settings. The internal consistency and psychometric properties of the 3 subscales: functionality, disability, and quality of life were assessed using Cronbach's (α) alpha and exploratory factor analysis, respectively.

Results: Three subscales of functionality, disability, and quality of life showed high internal consistency with α = 0.94, 0.97, and 0.87, respectively. There were also consistent factor loadings above 0.3 across all the factors. Gender differences across the 3 scales from the results of t test were observed. Finally, weak but statistically significant correlations between the measures of well-being and risk factors for noncommunicable diseases were also observed from the analyses.

Discussion and implications: The indicators assessed have been used in settings outside Africa to measure health and well-being of older adults are adaptable and reliable enabling comparability across space and across studies. The questionnaire provides a framework for examining disease and disability burden and their determinants among older adults in Kenya or similar settings.

Keywords: Africa; Assessment; Indicators; Psychometric; Validation.

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Conflict of interest statement

None.

References

    1. Amuthavalli Thiyagarajan, J., Mikton, C., Harwood, R. H., Gichu, M., Gaigbe-Togbe, V., Jhamba, T., Pokorna, D., Stoevska, V., Hada, R., Steffan, G. S., Liena, A., Rocard, E., & Diaz, T. (2022). The UN Decade of healthy ageing: Strengthening measurement for monitoring health and wellbeing of older people. Age and Ageing, 51(7), afac147. 10.1093/ageing/afac147 - DOI - PMC - PubMed
    1. Bowling, A. (2005). Just one question: If one question works, why ask several? Journal of Epidemiology and Community Health, 59(5), 342–345. 10.1136/jech.2004.021204 - DOI - PMC - PubMed
    1. Brennan-Olsen, S. L., Cook, S., Leech, M. T., Bowe, S. J., Kowal, P., Naidoo, N., & Mohebbi, M. (2017). Prevalence of arthritis according to age, sex and socioeconomic status in six low- and middle-income countries: Analysis of data from the World Health Organization study on global AGEing and adult health (SAGE) Wave 1. BMC Musculoskeletal Disorders, 18, 271. 10.1186/s12891-017-1624-z - DOI - PMC - PubMed
    1. The Center for Economic and Social Research, C. (2015). Gateway to global aging data. https://g2aging.org/
    1. Chege, P. M. (2016). Multiple cardiovascular disease risk factors in rural Kenya: Evidence from a health and demographic surveillance system using the WHO STEP-wise approach to chronic disease risk factor surveillance. South African Family Practice, 58(2), 1–61. 10.4102/safp.v58i2.5675 - DOI