
Figure 1
PRISMA flow diagram for selection of studies.
Table 1
Distribution of study characteristics.
| AUTHOR | MAIN GOAL | SETTING | DESIGN | SAMPLE | DATA ANALYSIS |
|---|---|---|---|---|---|
| Maginga et al., 2015 | Determine factors associated with BP control among adults attending a hypertension clinic | Bugando Medical Centre, Tanzania | Cross-sectional study | 300 hypertension patients, selected consecutively | Fisher’s exact, Wilcoxon rank-sum test, univariable and multivariable logistic regression |
| Berhe et al., 2017 | Examined determinants of achieving BP control and treatment intensification in patients with uncontrolled BP | Six public hospitals, Ethiopia | A retrospective cohort study | 897 adult ambulatory hypertension patients | Descriptive statistics and multivariable logistic regression |
| Labata et al., 2019 | Assessed predictors of self-care practices among hypertensive patients | Jimma University Specialized Hospital, Ethiopia | Hospital-based cross-sectional study | 341 adult hypertensive patients | Descriptive statistics and multivariate logistics regression |
| Niriayo et al., 2019 | Assessed the rate of adherence to self-care behaviors and associated factors among hypertensive patients | Ayder Comprehensive Specialized Hospital, Ethiopia | Cross-sectional study | 276 ambulatory hypertensive patients | Univariable and binary logistic regression |
| Berhe et al., 2020 | Assessed the prevalence and factors associated with uncontrolled hypertension among adults | Mekelle public hospitals, Tigray, Ethiopia | Hospital-based cross-sectional study | 396 hypertensive patients, systematic random sampling | Bivariable and multivariable logistic regression |
| Gebremichael et al., 2019 | Assessed self-care practices and associated factors among hypertensive patients | Ayder Comprehensive Specialized Hospital, Ethiopia | Hospital-based cross-sectional study | 320 hypertension patients, simple random sampling | Descriptive statistics, logistics, and multivariate regression |
| Okai et al., 2020 | Assessed the patient-level factors that influence hypertension control | Two hospitals in Accra, Ghana | Cross-sectional study | 360 hypertensive patients | Chi-square tests and logistic regression |
| Herskind et al., 2019 | Assessed an initiative conducted by two health clinics to begin treatment of hypertension among patients | Two clinics, Sierra Leone | Retrospective chart review and survey | 487 records of patients and 68 hypertension patients’ convenience sample | Descriptive statistics |
| Adidja et al., 2018 | Determine the rate and factors associated with nonadherence to antihypertensive pharmacotherapy, the association between nonadherence and BP control | Buea Health District, Cameroon | Community-based cross-sectional study | 183 adults, stratified cluster sampling | Descriptive, chi-square, Fisher’s exact test, t-test, multivariable logistic regression |
| Gebrezgi et al., 2017 | Identified barriers and facilitated hypertension management from the perspective of the patients | Asmara, Eritrea | Qualitative study | 48 individual in-depth interviews and 2 FGD | Thematic analysis |
| Ware et al., 2019 | Investigated traditional risk factors alongside other health and sociodemographic indicators to determine predictors of hypertension prevalence and management | South Africa | Cross-sectional of a nationally representative cohort | WHO-SAGE South Africa Wave 1 recruited 4,223 respondents from selected probability sampled | Chi-square, Mann-Whitney U test, t-tests, logistic regression |
| Mohamed et al., 2018 | Estimated the prevalence of hypertension, awareness, treatment, and control | Kenya | A national cross-sectional household survey study | 4,485 data from the 2015 Kenya STEPs survey, randomly selected | Descriptive statistics, multiple logistic regression, bivariate logistic regression |
| Adeniyi et al., 2016 | Examined the sociodemographic and clinical determinants of uncontrolled hypertension among individuals living with T2DM in the rural communities | Mthatha, South Africa. | Cross-sectional study | 265 individuals living with T2DM and hypertension | Univariate and multivariate logistic regression |
[i] Legends: BP = blood pressure; FGD = focus group discussion; T2DM = type 2 diabetes mellitus.
Table 2
Distribution of key findings.
| AUTHOR | OUTCOME AND MEASUREMENT | KEY DETERMINANTS OF HYPERTENSION CONTROL | KEY FINDINGS |
|---|---|---|---|
| Maginga et al., 2015 |
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| Berhe et al., 2017 |
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| Labata et al., 2019 |
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| Niriayo et al., 2019 |
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| Berhe et al., 2020 |
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| Gebremichael et al., 2019 |
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| Okai et al., 2020 |
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| Herskind et al., 2019 |
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| Adidja et al., 2018 |
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| Gebrezgi et al., 2017 |
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| |
| Ware et al., 2019 |
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| Mohamed et al., 2018 |
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| Adeniyi et al., 2016 |
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[i] Legends: AOR = adjusted odds rations; BMI = body mass index; BMQ = belief about medicine questionnaire; CI = confidence interval; HELM = hypertension evaluation of lifestyle and management; MMAS = Morisky Medication Adherence Scale; WHS = World Health Survey.
