Table 1 Characteristics of the studies included
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 |