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Table 1 Characteristics of the studies included

From: Heath related quality of life and associated factors among diabetes patients in sub-Saharan countries: a systemic review and meta-analysis

References Country Study design Sample size Objective of the study Scale Statistical model Effect size
1. Rwegerera et al. [21] Botswana Cross-sectional 380 To determine the HRQOL of DM patients in Botswana SF-36 Logistic regression OR & 95%CI
2. Tusa et al. [22] Ethiopia Cross-sectional 359 To assesses the level of HRQoL and its associated factors among adults with and without diabetes WHO-QoL-BREF Generalized Structural Equation Model β and 95%CI
3. Gebremedhin et al. [14] Ethiopia Cross-sectional 267 To assesses the level of HRQoL and its associated factors among adults with and without diabetes WHO-QoL-BREF Linear regression β and 95%CI
4. Reba et al. [20] Ethiopia Cross-sectional 344 To assesses the level of HRQoL and its associated factors among adults with and without diabetes WHO-QoL-BREF Linear regression β and 95%CI
5. Aschalew et al. [10] Ethiopia Cross-sectional 408 To assess the HRQOL & associated factors of diabetic patients at the University of Gondar referral hospital, Ethiopia WHO-QoL-BREF Linear regression β and 95%CI
6. Muze et al. [18] Ethiopia Cross-sectional 356 To assess quality of life and associated factors among diabetic patients having follow-up in diabetes clinic in Jimma University Specialized Hospital, Jimma, south west Ethiopia SF-36 Logistic regression OR & 95%CI
7. Ababio et al. [9] Ghana & Nigeria Cross-sectional 401 To assess QoL of patients with diabetes and to identify the predictors of good QoL among the patients with DM in the leading tertiary hospitals in Ghana and Nigeria WHO-QoL-BREF Linear regression β and 95%CI
8. Jannoo et al. [16] Mauritius Cross-sectional 497 To formulate a hypothetical structural equation model linking HRQoL, diabetes distress, diabetes self-care activities, medication adherence and diabetes-dependent QoL in patients with Type 2 DM SF-6 and ADDQoL-19 Structural Equation Model β and 95%CI
9. Ekwunife et al. [13] Nigeria Cross-sectional 226 To assess the sensitivity of the EQ-5D instrument in a sample of Nigerian patients with type 2 diabetes mellitus (T2DM) EQ-5D Linear regression β and 95%CI
10. Bolarinwa et al. [11] Nigeria Cross-sectional 59 To assessed the pattern and predictive factors of HRQoL among patients with hypertension, diabetes and concomitant hypertension and diabetes using the 36-item short-form version 2 SF-36 Linear regression β and 95%CI
11. Odili et al. [6] Nigeria Cross-sectional 112 To assess the impact of diabetes on the health-related quality of life of Nigerians WHO-QoL-BREF - -
12. James et al. [15] Nigeria Cross-sectional 212 To determine the relationship between depression and the subjective assessment of quality of life (QoL) in a sample of patients with diabetes mellitus (DM) attending outpatient clinics at a regional university teaching hospital in Nigeria WHO-QoL-BREF Linear regression β and 95%CI
13. Werfalli et al. [23] South African Cross-sectional 341 To examine the prevalence of self-report diabetes, and association between diabetes and each of health-related quality of life and disability amongst South Africa’s older adults WHO-QoL-BREF Linear regression β and 95%CI
14. Daya et al. [12] South African Cross-sectional 200 To determine the HRQOL of a sample of patients with type 2 diabetes D-39 - -
15. Mngomezulu et al. [17] Swaziland Cross-sectional 340 To understand the QOL and its correlates in diabetic outpatients in Swaziland D-39 Linear regression β and 95%CI
16. Nyanzi et al. [19] Uganda Cross-sectional 219 To assessing the factors associated with quality of life among diabetic patients in Uganda QOLID Poisson regression Ratio rate
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