Predictors of non-adherence to antihypertensive medication in Kinshasa, Democratic Republic of Congo: A cross-sectional study Public Health

被引：36
作者：
Lulebo A.M. [1 ]
Mutombo P.B. [1 ]
Mapatano M.A. [1 ]
Mafuta E.M. [1 ]
Kayembe P.K. [1 ]
Ntumba L.T. [2 ]
Mayindu A.N. [3 ]
Coppieters Y. [4 ]
机构：
[1] Department of Epidemiology and Bio-statistics, Faculty of Medicine, Kinshasa School of Public Health, University of Kinshasa, PO Box 11850, Kinshasa
[2] Programme National Multisectoriel de Lutte Contre le VIH, Ministère de la Santé, Kinshasa
[3] Department of Epidemiology, Bio-statistics and Occupational Health, Mc Gill University, Montreal, QC
[4] Ecole de Santé Publique, Université Libre de Bruxelles, Brussels
来源：
BMC Research Notes | / 8卷 / 1期
关键词：
Antihypertensive drugs; DRC; Hypertension; Medication adherence;
D O I：
10.1186/s13104-015-1519-8
中图分类号：
学科分类号：
摘要：
Background: Hypertension remains a public health challenge worldwide. In the Democratic Republic of Congo, its prevalence has increased in the past three decades. Higher prevalence of poor blood pressure control and an increasing number of reported cases of complications due to hypertension have also been observed. It is well established that non-adherence to antihypertensive medication contributes to poor control of blood pressure. The aim of this study is to measure non-adherence to antihypertensive medication and to identify its predictors. Methods: A cross-sectional study was conducted at Kinshasa Primary Health-care network facilities from October to November 2013. A total of 395 hypertensive patients were included in the study. A structured interview was used to collect data. Adherence to medication was assessed using the Morisky Medication Scale. Covariates were defined according to the framework of the World Health Organization. Logistic regression was used to identify predictors of non-adherence. Results: A total of 395 patients participated in this study. The prevalence of non-adherence to antihypertensive medication and blood pressure control was 54.2 % (95 % CI 47.3-61.8) and 15.6 % (95 % CI 12.1-20.0), respectively. Poor knowledge of complications of hypertension (OR = 2.4; 95 % CI 1.4-4.4), unavailability of antihypertensive drugs in the healthcare facilities (OR = 2.8; 95 % CI 1.4-5.5), lack of hypertensive patients education in the healthcare facilities (OR = 1.7; 95 % CI 1.1-2.7), prior experience of medication side effects (OR = 2.2; 95 % CI 1.4-3.3), uncontrolled blood pressure (OR = 2.0; 95 % CI 1.1-3.9), and taking non-prescribed medications (OR = 2.2; 95 % CI 1.2-3.8) were associated with non-adherence to antihypertensive medication. Conclusion: This study identified predictors of non-adherence to antihypertensive medication. All predictors identified were modifiable. Interventional studies targeting these predictors for improving adherence are needed. © 2015 Lulebo et al.
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  • [1] Kearney M.P., Whelton M., Reynolds K., Muntner P., Whelton K.P., He J., Global burden of hypertension: Analysis of worldwide data, Lancet, 365, pp. 217-223, (2005)
  • [2] Dalal S., Beunza J.J., Volmink J., Adebamowo C., Bajunirwe F., Njelekela M., Et al., Non- communicable diseases in sub-Saharan Africa: What we know now, Int J Epidemiol, 40, pp. 885-901, (2011)
  • [3] M'Buyamba-Kabangu J.R., Fagardr S.T., Lijnen P., Amery A., Correlates of blood pressure in rural and urban Zaire, J Hypertens, 5, pp. 371-375, (1987)
  • [4] Longo M.B., Ngoma V.D., Nahimana D., Mupepe M.D., Mbungu F.S., Ekwanzala F., Beya C., Screen detection and the WHO stepwise approach to the prevalence and risk factors of arterial hypertension in Kinshasa, Eur J Cardiovasc Prev Rehabil, 15, pp. 503-508, (2008)
  • [5] Lwelunmor J., Airhihenbuwa C.O., Cooper R., Tayo B., Plange-Rhule J., Adanu R., Ogedegbe G., Prevalence, determinants and systems-thinking approaches to optimal hypertension control in West Africa, Glob Health, 10, (2014)
  • [6] Katchunga B.P., Mbuyamba K.J.R., Masumbuka E.B., Lemogoum D., Kashongwe M.Z., Degaute J.P., Et al., Hypertension in adult Congolese population in Southern Kivu: Results of the Vitaraa Study, Presse Médicale, (2011)
  • [7] Connor M., Rheeder P., Bryer A., Meredith M., Beukes M., Dubb A., Et al., The South African stroke risk in general practice study, S Afr Med J, 95, pp. 334-339, (2005)
  • [8] Reducing Risks, Promoting Healthy Life, (2002)
  • [9] Sumaili E.K., Krzesinski J.M., Cohen E.P., Nseka N.M., Epidemiologie de la maladie rénale chronique en Republique Démocratique du Congo: Revue des études transversales de Kinshasa, la capitale, Nephrol Ther, 6, 4, pp. 232-239, (2010)
  • [10] Sumaili K.E., Nseka N.M., Makulo J.R.R., Zinga C.V., Longo A.L., Mukendi S.K., Et al., Statut socioéconomique et protéinurie: Résultats de campagne de dépistage des maladies des reins 2007 à Kinshasa, Ann Afr Med., 2, 3, pp. 170-177, (2009)
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