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Uncontrolled hypertension in Ethiopia: a systematic review and meta-analysis of institution-based observational studies
BMC Cardiovascular Disorders volume 20, Article number: 129 (2020)
Abstract
Background
Uncontrolled hypertension is one of the major risk factors of cardiovascular and cerebrovascular diseases. The prevalence of hypertension in Ethiopia is expected to reach up to 30%. The aim of this study was to determine the prevalence of uncontrolled hypertension among hypertensive patients on treatment in Ethiopia.
Methods
Electronic databases and search engines including EMBASE (Ovid), PubMed/Medline, and Google Scholar were searched for original records in the English language addressing hypertension control in Ethiopia from 2000 to 2018. Data were extracted using a format prepared in Microsoft Excel and exported to STATA 15.0 software for analyses. The study protocol is registered at PROSPERO with reference number ID: CRD42018116336.
Results
A total of 13 studies with 5226 hypertension patients were included for systematic review and meta-analysis. The pooled prevalence of uncontrolled hypertension in Ethiopia was 48% (95% confidence interval (CI): 36, 61%). The result of the sub-group analysis, based on the year of publications, revealed that the prevalence of uncontrolled BP was highest in 2016 (63%; CI: 60, 67%) and in 2015 (59%; CI: 53, 65%). Univariate meta-regression revealed that sampling distribution was not a source of heterogeneity for the pooled estimate as well as the sub group analysis.
Conclusion
The prevalence of uncontrolled hypertension was high in Ethiopia. This alarming public health issue fuels the ever-increasing cardiovascular and cerebrovascular diseases. The ministry of health has to design a policy and implementation mechanisms to reduce uncontrolled hypertension prevalence and improve awareness on blood pressure control.
Background
Hypertension is the major contributor to global burden of cardiovascular morbidity and mortality [1]. Currently, more than 1.4 billion of the world’s population have hypertension [2] and this figure is expected to rise to 1.6 billion by the year 2025 [3]. The cardiovascular and cerebrovascular complications of hypertension are the most important causes of non-communicable diseases (NCD) related morbidities and mortalities [4]. As hypertension is a preventable risk factor, collaborated actions can prevent the development of complications [5].
Meta-analysis of observational studies in Ethiopia estimated the prevalence of hypertension to be between 20 and 30% [6, 7]. According to WHO, 39% of all deaths in Ethiopia are due to NCDs of which 16% is attributed to cardiovascular diseases (CVD) [8]. Uncontrolled hypertension is one of the major causes of heart failure, chronic renal failure, and ischemic and hemorrhagic strokes which impose severe financial and service burdens on health systems [9, 10]. The control of hypertension within a target goal of blood pressure (BP) plays a critical role in reducing associated CVD. However, hypertension remains inadequately controlled in clinical practice [11, 12]. This would increase the burden of CVD on the health system. The proportions of patients treated for hypertension with uncontrolled BP reported across the country vary substantially. However, these data have not been meta-analyzed to provide pooled estimate of the prevalence of uncontrolled BP among treated hypertensive patients. Therefore, the aim of this study is to examine the prevalence of uncontrolled BP among treated hypertensive patients in Ethiopia. Determining the prevalence will help to comprehend the magnitude of the problem and develop strategies to reduce the imposed burden of CVD.
Methods
Study protocol
The Preferred Reporting Items for Systematic reviews and Meta-analyses (PRISMA) was used in the identification of records, screening of titles and abstracts accompanied by evaluation of eligibility of full texts for final inclusion [13]. The study protocol is registered at PROSPERO with reference number ID: CRD42018116336 and the published methodology is available from: http://www.crd.york.ac.uk/PROSPERO/display_record.php?ID=CRD42018116336.
Data sources and search strategy
Literature search was done from PubMed/Medline, EMBASE (Ovid® interface) and Google Scholar. Advanced search strategies were used to retrieve relevant findings, by restricting the search for studies on human and published in English. HINARI interface was used to access articles published in subscription based journals and indexed in Science-Direct and Wiley online library. Gray literatures from organizations and online university repositories were accessed through Google Scholar. Key words and indexing terms were used to retrieve articles that were published from 2000 onwards. The key words used for searching were “hypertension”, “high blood pressure” [MeSH] and “Ethiopia”. Boolean operators (AND, OR) were also used in the identification of records. The search was conducted from February 1 to 14, 2019 and all published and unpublished articles available online from January 1, 2000 till the day of data collection were considered.
Screening and eligibility of studies
ENDNOTE reference manager software version 9.2 (Thomson Reuters, Stamford, CT, USA) was used. With the help of the reference manager, duplicate records were identified, recorded and removed. Due to variation in reference styles from different sources, some references were managed manually. Thereafter, two authors (FA and BH) independently screened the titles and abstracts with predefined inclusion criteria. Two authors (MS and BM) independently collected full texts and evaluated the eligibility of them for final inclusion. In each case, the third author played a critical role in solving discrepancies that arose between two authors and in coming to a final consensus.
Inclusion and exclusion criteria
Predefined inclusion-exclusion criteria were used to screen titles and abstracts; and evaluate full texts for eligibility. Observational studies addressing hypertension control among treated adult hypertensive patients in Ethiopia were included. Literatures published from 2000 onwards in the English language were considered. Articles with irretrievable full texts (after requesting full texts from the corresponding authors via email and/or ResearchGate), records with unrelated outcome measures, articles with missing or insufficient outcomes were excluded.
Data extraction
Data abstraction format was prepared in Microsoft Excel. Two authors (FA and BH) independently extracted data related to study characteristics (study area, first author, and year of publication, study design, population characteristics, and sample size) and outcome of interest (hypertension control).
Quality assessment of studies
The internal and external validity of included studies was assessed by using the Johanna Briggs institute (JBI) critical appraisal checklist for studies reporting prevalence data. Based on the checklist, the studies were graded out of 9 points (Table 1). Scores of the two authors (MS and BM) in consultation with third author (FA) (in case of disagreement between the two authors’ appraisal result) were taken for final decision. Studies with the number of positive responses (yes) greater than half of the number of checklists (i.e., score of five and above) were included in the systematic review and meta-analysis.
Outcome measurements
The primary outcome measure in this meta-analysis is the prevalence of uncontrolled hypertension in Ethiopia. It is aimed to assess the pooled estimates of uncontrolled hypertension among treated hypertensive patients in the country. The sample size was intentionally adjusted to response rates in individual study to reduce bias in calculating the overall prevalence.
Data processing and statistical analysis
A format prepared in Microsoft Excel was used to extract data from the included studies. The data was then exported to STATA software, version 15.0 for analyses. The percentage of variance attributable to study heterogeneity was assessed using I2 statistics. To ascertain variation in true effect sizes across population, Der Simonian and Laird’s random effects model was applied at 95% confidence level. The event rate (proportion) was calculated out of 1 and standard error of Logit event rate was also added with the help of Comprehensive Meta-analysis (CMA) (Biostat, Englewood, New Jersey, USA) version-3 software. CMA was also used for publication bias assessment by using the Begg and Rank correlation as well as Egger’s regression tests. Funnel plots of standard error and precision with Logit event rate was used to present the publication bias assessment. A p-value less than 0.05 (one tailed) was used to declare significance.
Results
A total of 426 studies were identified through the search of electronic databases including PubMed/Medline, EMBASE, and Google Scholar. Eight other articles were identified through reference tracing and other sources. After removing 82 duplicates through ENDNOTE reference manager and manual tracing, a total of 352 records were screened using their titles and abstracts. Then, full text assessment of 26 potentially relevant articles resulted in 13 studies that passed the eligibility criteria and quality assessment and hence included in the systematic review and meta-analysis (Fig. 1).
Study characteristics
A total of 13 studies with 5226 hypertensive patients were included in this systematic review and meta-analysis. Among the included hypertensive patients, 2534 were found to have uncontrolled BP. Eleven of the included studies used cross-sectional study design [14,15,16,17,18,19,20,21,22,23,24] while the remaining two were cohort in design [25, 26]. Almost all the included studies were hospital based except for one which was conducted at health centers [18]. The year of publication of included studies ranged from 2014 to 2018. The prevalence of uncontrolled hypertension ranged from 11.42% [22] in Gondar university hospital to 69.94% in Zewditu memorial hospital, Addis Ababa [24] (Table 2).
Study outcome measures
Primary outcomes
The pooled prevalence of uncontrolled hypertension in Ethiopia from the 13 studies describing control of BP among treated hypertensive patients was 48% (95% confidence interval [CI]: 36, 61%). When random effects model was assumed for this meta-analysis, a high degree of heterogeneity was observed across studies as evidenced by the I2 statistics (I2 = 99.01%, P < 0.001) (Fig. 2). Univariate meta-regression model showed that sampling distribution is not a source of heterogeneity (regression coefficient = 0.000, p-value =0.92) (Fig. 3).
Sensitivity and subgroup analyses
Sensitivity analysis was conducted by excluding outliers from the analysis. However, there was no significant change on the degree of heterogeneity even when outliers were excluded from the analysis. Therefore, all the studies that passed the quality assessment were included for the meta-analysis. A subgroup analysis was conducted based on the year of publication of the studies. The result of the subgroup analysis revealed that the prevalence of uncontrolled hypertension was highest in 2016 (63%; CI: 60, 67%) followed by 2015 (59%; CI: 53, 65%) (Fig.4). Univariate meta-regression revealed that year of publication is also not a source of heterogeneity (regression coefficient = 0.005, p-value =0.88) (Fig. 5).
Publication bias
Publication bias was assessed by using funnel plots of standard error with logit effect size (event rate). The analysis showed that there is no evidence of publication bias on the included studies. This is confirmed by Egger’s regression test (one-tailed), p = 0.09 and Begg’s correlation test (one tailed), p = 0.15 (Fig. 6).
Discussion
A total of 13 institution based studies with 5226 hypertensive patients were included in this systematic review and meta-analysis. In the current study, the pooled prevalence of uncontrolled hypertension among hypertensive patients on treatment in Ethiopia was 48% (CI: 36, 61%). This finding indicated that almost half of hypertensive patients who were following their treatment in health institutions (hospitals and health centers) in Ethiopia did not achieve a target BP, proven to reduce CVD risk associated with hypertension. The prevalence of uncontrolled hypertension in this study is close to the proposed WHO target control rate [1]. The result of the subgroup analysis showed the increment in the prevalence of uncontrolled hypertension from 2014 to 2017. This clearly shows the quality of health service provided for patients with hypertension. Additionally, the national burden of cardiovascular and cerebrovascular diseases, chronic renal failure and the associated morbidity and mortality are expected to rise with the uncontrolled BP [27]. Moreover, a study has shown that treated hypertensive patients but not having control were at increased risk of all cause, CVD specific, heart disease-specific or cerebrovascular disease specific mortality [28]. According to the report by WHO, only 12% of high risk persons were receiving drug therapy and counseling to prevent heart attacks and strokes [8].
The prevalence of uncontrolled hypertension in this study 48% (CI: 36, 61%) was lower than what was reported from a meta-analysis of 135 population based studies from 90 countries across the world (62.9%) and the prevalence in low- and middle income countries (73.7%) [29]. Similarly, the current prevalence was lower than a report from India (rural 89.7% and urban 79.8%) [30]; a national survey in China (91.9%) [31] and a meta-analysis of studies from Brazil [men (68.2%) and women (43.1%)] [32]. This difference might have resulted as the studies included in this meta-analysis were only institution based where there is strict control in the measurement of BP and management of hypertension.
On the other hand, the prevalence of uncontrolled hypertension in this study is in trajectory with a Kenyan national survey (48.3%) [33] and lower than studies from Dutch (30%) [34], England (23.9%), Canada (14%) and USA (21.2%) [27]. The high prevalence of uncontrolled hypertension observed in this study might have resulted from socioeconomic factors; low educational status and poverty [35]. Additionally, unavailability of or interrupted supply of medicines could have contributed to the high prevalence. As WHO stated, only 1 in 10 essential NCD medicines are reported to be available at health facilities of the country [8].
In the sub-group analysis, uncontrolled hypertension increased over the years. This is in contrary to a study that described the 25 years trend of hypertension control in India that showed a decrease from 81 to 51% [36]. Given the developing nature of the country and the burden of communicable diseases, the increase in uncontrolled blood pressure should be alarming. In order to decrease the burden of CVD associated with uncontrolled hypertension, home BP monitoring [37] and a holistic approach of patient care including pharmacists to manage patients drug therapy should be used [38].
Conclusion
The prevalence of uncontrolled hypertension was high in Ethiopia. This is alarming as uncontrolled hypertension is associated with an increased risk of cardiovascular complications. This would impose additional burden on the health care system of the country, which is struggling to contain communicable diseases. The prevalence of uncontrolled hypertension is increasing over the years. This evidence suggests that double burden diseases are increasingly affecting Ethiopia. In light of this evidence, policy makers and health care professionals working in the area should implement interventional strategies focusing on achieving an optimal BP among treated hypertensive patients.
Limitation of the study
The study has extensively addressed all relevant data regarding hypertension control among treated hypertensive patients in Ethiopia. However, there are certain limitations to mention. The studies included for the meta-analysis used different cut-off point to define control of BP as there was change in guideline recommendation regarding optimal BP. Additionally, the number of BP measurement used to define uncontrolled hypertension across the included studies was inconsistent.
Availability of data and materials
All data used for the systematic review and meta-analysis is contained within the manuscript.
Abbreviations
- BP:
-
Blood pressure
- CS:
-
Cross sectional
- CVD:
-
Cardiovascular disease
- NCD:
-
Non communicable diseases
- WHO:
-
World health organization
References
WHO. A global brief on hypertension. Silent killer, global public health crisis. 2013.
Egan BM, Kjeldsen SE, Grassi G, Esler M, Mancia G. The global burden of hypertension exceeds 1.4 billion people: should a systolic blood pressure target below 130 become the universal standard? J Hypertens. 2019;37(6):1148–53.
Kearney PM, Reynolds K, Muntner P, Whelton PK, He J. Global burden of hypertension : analysis of worldwide data. Lancet. 2005;365:217–23.
WHO. Global status report on non-communicable diseases: Description of the global burden of NCDs, their risk factors and determinants. 2010.
WHO. Global status report on noncommunicable diseases 2014. 2014.
Molla M. Systematic reviews of prevalence and associated factors of hypertension in Ethiopia : finding the evidence. SJPH. 2015;3(4):514–9.
Kibret KT. Prevalence of hypertension in Ethiopia: a systematic meta analysis. BMC Public Health. 2015;36(14).
WHO. Noncommunicable diseases country profiles 2018. 2018.
Chobanian AV, Bakris GL, Black HR, Cushman WC, Green LA, Izzo JL Jr, et al. Seventh report of the joint National Committee on prevention, detection, evaluation, and treatment of high Blood pressure. Hypertens. 2003;42(6):1206–52.
WHO. Prevention of cardiovascular disease: guidelines for assessment and management of cardiovascular risk. 2007.
Mancia G, Narkiewicz K, Redon J, Zanchetti A, Bohm M, et al. 2013 ESH/ESC guidelines for the management of arterial hypertension: the task force for the management of arterial hypertension of the European society of hypertension (ESH) and of the European society of cardiology (ESC). J Hypertens. 2013;31:1281–357.
Weber MA, White WB, Mann S, Lindholm LH, Kenerson JG, et al. Clinical practice guidelines for the management of hypertension in the community a statement by the American society of hypertension and the international society of hypertension. J Clin Hypertens. 2014;16(1):14–26.
Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(7):e1000097.
Lichisa G, Tegegne G, Gelaw B, Defersha A, Woldu M, Linjesa J. Blood pressure control and its contributing factor among ambulatory hypertensive patients in Adama Hospital medical college, East Shoa, Adama, Ethiopia. IJPBS 2014;2(7).
Woldu MA, Shiferaw DF, Lenjisa JL, Tegegne GT, Tesafye G, Dinsa H. Antihypertensive medications pattern and their effect in blood pressure control in patients attending Bishoftu general hospital ambulatory ward, Debrezeit (Bishoftu), Ethiopia. WJPS. 2014;2(10):1198–205.
Tesfaye A, Kumela K, Wolde M. Blood pressure control associates and antihypertensive pharmacotherapy patterns in Tikur Anbessa general specialized hospital chronic care department, Addis Ababa, Ethiopia. AJBLS. 2015;3(3):41–8.
Asgedom SW, Gudina EK, Desse TA. Assessment of Blood pressure control among hypertensive patients in Southwest Ethiopia. PLoS One. 2016;11(11):e0166432.
Amare F. Blood Pressure control and Associated Factors among Hypertensive Patients Attending Health Centers of Addis Ababa: Master’s thesis. Addis Ababa University; 2016..
Abdu O, Diro E, Abera Balcha MA, Ayanaw D, Getahun S, Mitiku T, et al. Blood pressure control among hypertensive patients in University of Gondar Hospital, Northwest Ethiopia: a cross sectional study. Hypertens. 2017;140(1):6.
Abegaz TM, Tefera YG, Abebe TB. Antihypertensive drug prescription patterns and their impact on outcome of blood pressure in Ethiopia: a hospital-based cross-sectional study. Integr Pharm Res Pract. 2017;6:29.
Muleta S, Melaku T, Chelkeba L, Assefa D. Blood pressure control and its determinants among diabetes mellitus co-morbid hypertensive patients at Jimma University medical center, south West Ethiopia. Clin Hypertens. 2017;23(1):29.
Abegaz TM, Abdela OA, Bhagavathula AS, Teni FS. Magnitude and determinants of uncontrolled blood pressure among hypertensive patients in Ethiopia: hospital based observational study. Pharm Pract. 2018;16(2):1173.
Teshome DF, Demssie AF, Zeleke BM. Determinants of blood pressure control amongst hypertensive patients in Northwest Ethiopia. PLoS One. 2018;13(5):e0196535.
Yazie D, Shibeshi W, Alebachew M, Berha A. Assessment of Blood pressure control among hypertensive patients in Zewditu memorial hospital, Addis Ababa, Ethiopia: a cross-sectional study. J Bioanal Biomed. 2018;10:80–7.
Berhe DF, Taxis K, Haaijer-Ruskamp FM, Mulugeta A, Mengistu YT, Mol PG. Hypertension treatment practices and its determinants among ambulatory patients: retrospective cohort study in Ethiopia. BMJ Open. 2017;7(8):e015743.
Animut Y, Assefa AT, Lemma DG. Blood pressure control status and associated factors among adult hypertensive patients on outpatient follow-up at University of Gondar Referral Hospital, northwest Ethiopia: a retrospective follow-up study. Integr Blood Press Control. 2018;11:37.
Joffres M, Falaschetti E, Gillespie C, Robitaille C, Loustalot F, Poulter N, et al. Hypertension prevalence, awareness, treatment and control in national surveys from England, the USA and Canada, and correlation with stroke and ischaemic heart disease mortality: a cross-sectional study. BMJ Open. 2013;3(8):e003423.
Zhou D, Xi B, Zhao M, Wang L, Veeranki SP. Uncontrolled hypertension increases risk of all-cause and cardiovascular disease mortality in US adults: the NHANES III linked mortality study. Sci Rep. 2018;8(1):9418.
Mills KT, Bundy JD, Kelly TN, Reed JE, Kearney PM, Reynolds K, et al. Global disparities of hypertension prevalence and control: a systematic analysis of population-based studies from 90 countries. Circ J. 2016;134(6):441–50.
Anchala R, Kannuri NK, Pant H, Khan H, Franco OH, Di Angelantonio E, et al. Hypertension in India: a systematic review and meta-analysis of prevalence, awareness, and control of hypertension. J Hypertens. 2014;32(6):1170–7.
Gu D, Reynolds K, Wu X, Chen J, Duan X, Muntner P, et al. Prevalence, awareness, treatment, and control of hypertension in China. Hypertens. 2002;40(6):920–7.
Picon RV, Dias-da-Costa JS, Fuchs FD, Olinto MTA, Choudhry NK, Fuchs SC. Hypertension Management in Brazil: usual practice in primary care-a Meta-analysis. Int J Hypertens. 2017;2017:1274168.
Mohamed SF, Mutua MK, Wamai R, Wekesah F, Haregu T, Juma P, et al. Prevalence, awareness, treatment and control of hypertension and their determinants: results from a national survey in Kenya. BMC Public Health. 2018;18(Suppl 3):1219.
Van Rossum CT, van de Mheen H, Witteman JC, Hofman A, Mackenbach JP, Grobbee DE. Prevalence, treatment, and control of hypertension by sociodemographic factors among the Dutch elderly. Hypertens. 2000;35(3):814–21.
Gupta R, Xavier D. Hypertension: the most important non communicable disease risk factor in India. IHJ. 2018;70(4):565–72.
Gupta R, Gupta VP, Prakash H, Agrawal A, Sharma KK, Deedwania PC. 25-year trends in hypertension prevalence, awareness, treatment, and control in an Indian urban population: Jaipur heart watch. IHJ. 2017;70(6):802-7.
Cappuccio FP, Kerry SM, Forbes L, Donald A. Blood pressure control by home monitoring: meta-analysis of randomised trials. BMJ. 2004;329(7458):145.
Santschi V, Chiolero A, Colosimo AL, Platt RW, Taffé P, Burnier M, et al. Improving blood pressure control through pharmacist interventions: a meta-analysis of randomized controlled trials. J Am Heart Assoc. 2014;3(2):e000718.
Acknowledgments
Authors thank School of Pharmacy staffs of Haramaya University who technically provided support for the realization of this article.
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FA, BH, MS and BM designed the study, collected scientific literatures, critically appraised individual articles for inclusion, extracted and analyzed the data. FA drafted the manuscript and prepared the final version for publication. All authors read and approved the final version of the manuscript.
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Amare, F., Hagos, B., Sisay, M. et al. Uncontrolled hypertension in Ethiopia: a systematic review and meta-analysis of institution-based observational studies. BMC Cardiovasc Disord 20, 129 (2020). https://doi.org/10.1186/s12872-020-01414-3
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DOI: https://doi.org/10.1186/s12872-020-01414-3