Factors associated with poor adherence to medication among hypertensive patients in twelve low and middle income Sub-Saharan countries

Over the past few decades, the prevalence of hypertension has dramatically increased in Sub-Saharan Africa. Poor adherence has been identified as a major cause of failure to control hypertension. Scarce data are available in Africa. We assessed adherence to medication and identified socioeconomics,...

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Veröffentlicht in:PloS one 2019-07, Vol.14 (7), p.e0219266-e0219266
Hauptverfasser: Macquart de Terline, Diane, Kane, Adama, Kramoh, Kouadio Euloge, Ali Toure, Ibrahim, Mipinda, Jean Bruno, Diop, Ibrahima Bara, Nhavoto, Carol, Balde, Dadhi M, Ferreira, Beatriz, Dèdonougbo Houenassi, Martin, Ikama, Méo Stéphane, Kingue, Samuel, Kouam Kouam, Charles, Takombe, Jean Laurent, Limbole, Emmanuel, Mfeukeu Kuate, Liliane, N'guetta, Roland, Damorou, Jean Marc, Sesso, Zouwera, Sidy Ali, Abdallahi, Perier, Marie-Cécile, Azizi, Michel, Empana, Jean Philippe, Jouven, Xavier, Antignac, Marie
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container_issue 7
container_start_page e0219266
container_title PloS one
container_volume 14
creator Macquart de Terline, Diane
Kane, Adama
Kramoh, Kouadio Euloge
Ali Toure, Ibrahim
Mipinda, Jean Bruno
Diop, Ibrahima Bara
Nhavoto, Carol
Balde, Dadhi M
Ferreira, Beatriz
Dèdonougbo Houenassi, Martin
Ikama, Méo Stéphane
Kingue, Samuel
Kouam Kouam, Charles
Takombe, Jean Laurent
Limbole, Emmanuel
Mfeukeu Kuate, Liliane
N'guetta, Roland
Damorou, Jean Marc
Sesso, Zouwera
Sidy Ali, Abdallahi
Perier, Marie-Cécile
Azizi, Michel
Empana, Jean Philippe
Jouven, Xavier
Antignac, Marie
description Over the past few decades, the prevalence of hypertension has dramatically increased in Sub-Saharan Africa. Poor adherence has been identified as a major cause of failure to control hypertension. Scarce data are available in Africa. We assessed adherence to medication and identified socioeconomics, clinical and treatment factors associated with low adherence among hypertensive patients in 12 sub-Saharan African countries. We conducted a cross-sectional survey in urban clinics of both low and middle income countries. Data were collected by physicians on demographics, treatment and clinical data among hypertensive patients attending the clinics. Adherence was assessed by questionnaires completed by the patients. Factors associated with low adherence were investigated using logistic regression with a random effect on countries. There were 2198 individuals from 12 countries enrolled in the study. Overall, 678 (30.8%), 738 (33.6%), 782 (35.6%) participants had respectively low, medium and high adherence to antihypertensive medication. Multivariate analysis showed that the use of traditional medicine (OR: 2.28, 95%CI [1.79-2.90]) and individual wealth index (low vs. high wealth: OR: 1.86, 95%CI [1.35-2.56] and middle vs. high wealth: OR: 1.42, 95%CI [1.11-1.81]) were significantly and independently associated with poor adherence to medication. In stratified analysis, these differences in adherence to medication according to individual wealth index were observed in low-income countries (p
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Poor adherence has been identified as a major cause of failure to control hypertension. Scarce data are available in Africa. We assessed adherence to medication and identified socioeconomics, clinical and treatment factors associated with low adherence among hypertensive patients in 12 sub-Saharan African countries. We conducted a cross-sectional survey in urban clinics of both low and middle income countries. Data were collected by physicians on demographics, treatment and clinical data among hypertensive patients attending the clinics. Adherence was assessed by questionnaires completed by the patients. Factors associated with low adherence were investigated using logistic regression with a random effect on countries. There were 2198 individuals from 12 countries enrolled in the study. Overall, 678 (30.8%), 738 (33.6%), 782 (35.6%) participants had respectively low, medium and high adherence to antihypertensive medication. Multivariate analysis showed that the use of traditional medicine (OR: 2.28, 95%CI [1.79-2.90]) and individual wealth index (low vs. high wealth: OR: 1.86, 95%CI [1.35-2.56] and middle vs. high wealth: OR: 1.42, 95%CI [1.11-1.81]) were significantly and independently associated with poor adherence to medication. In stratified analysis, these differences in adherence to medication according to individual wealth index were observed in low-income countries (p&lt;0.001) but not in middle-income countries (p = 0.17). In addition, 26.5% of the patients admitted having stopped their treatment due to financial reasons and this proportion was 4 fold higher in the lowest than highest wealth group (47.8% vs 11.4%) (p&lt;0.001). This study revealed the high frequency of poor adherence in African patients and the associated factors. These findings should be useful for tailoring future programs to tackle hypertension in low income countries that are better adapted to patients, with a potential associated enhancement of their effectiveness.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0219266</identifier><identifier>PMID: 31291293</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adhesion ; Adult ; Africa South of the Sahara - epidemiology ; Aged ; Aged, 80 and over ; Alternative medicine ; Analysis ; Antihypertensive agents ; Antihypertensive Agents - adverse effects ; Antihypertensive Agents - therapeutic use ; Antihypertensives ; Biology and Life Sciences ; Blood pressure ; Calcium Channels - genetics ; Cardiology ; Cardiology and cardiovascular system ; Complications and side effects ; Cross-Sectional Studies ; Demographic aspects ; Demographics ; Demography ; Developing countries ; Developing Countries - economics ; Dosage and administration ; Drug therapy ; Drugs ; Economic factors ; Female ; Hospitals ; Human health and pathology ; Humans ; Hypertension ; Hypertension - drug therapy ; Hypertension - economics ; Hypertension - epidemiology ; Income ; Internal medicine ; LDCs ; Life Sciences ; Low income groups ; Male ; Medical personnel ; Medical research ; Medication Adherence ; Medicine and Health Sciences ; Middle Aged ; Multivariate analysis ; Patient compliance ; Patients ; Pharmaceutical sciences ; Pharmacology ; Pharmacy ; Physical Sciences ; Physicians ; Poverty - economics ; Prevalence ; Public health ; Regression analysis ; Research and Analysis Methods ; Santé publique et épidémiologie ; Social factors ; Socioeconomic Factors ; Socioeconomics ; Surveys ; Surveys and Questionnaires ; Systematic review ; Traditional medicine</subject><ispartof>PloS one, 2019-07, Vol.14 (7), p.e0219266-e0219266</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Macquart de Terline et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>2019 Macquart de Terline et al 2019 Macquart de Terline et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c726t-ee2e75f872a8a2b6e9409998cbdf0543e53b424d7ee7916fa867c19759e8b0463</citedby><cites>FETCH-LOGICAL-c726t-ee2e75f872a8a2b6e9409998cbdf0543e53b424d7ee7916fa867c19759e8b0463</cites><orcidid>0000-0003-4272-1597</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6619761/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6619761/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,729,782,786,866,887,2106,2932,23875,27933,27934,53800,53802</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31291293$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.sorbonne-universite.fr/hal-02303488$$DView record in HAL$$Hfree_for_read</backlink></links><search><contributor>Li, Yan</contributor><creatorcontrib>Macquart de Terline, Diane</creatorcontrib><creatorcontrib>Kane, Adama</creatorcontrib><creatorcontrib>Kramoh, Kouadio Euloge</creatorcontrib><creatorcontrib>Ali Toure, Ibrahim</creatorcontrib><creatorcontrib>Mipinda, Jean Bruno</creatorcontrib><creatorcontrib>Diop, Ibrahima Bara</creatorcontrib><creatorcontrib>Nhavoto, Carol</creatorcontrib><creatorcontrib>Balde, Dadhi M</creatorcontrib><creatorcontrib>Ferreira, Beatriz</creatorcontrib><creatorcontrib>Dèdonougbo Houenassi, Martin</creatorcontrib><creatorcontrib>Ikama, Méo Stéphane</creatorcontrib><creatorcontrib>Kingue, Samuel</creatorcontrib><creatorcontrib>Kouam Kouam, Charles</creatorcontrib><creatorcontrib>Takombe, Jean Laurent</creatorcontrib><creatorcontrib>Limbole, Emmanuel</creatorcontrib><creatorcontrib>Mfeukeu Kuate, Liliane</creatorcontrib><creatorcontrib>N'guetta, Roland</creatorcontrib><creatorcontrib>Damorou, Jean Marc</creatorcontrib><creatorcontrib>Sesso, Zouwera</creatorcontrib><creatorcontrib>Sidy Ali, Abdallahi</creatorcontrib><creatorcontrib>Perier, Marie-Cécile</creatorcontrib><creatorcontrib>Azizi, Michel</creatorcontrib><creatorcontrib>Empana, Jean Philippe</creatorcontrib><creatorcontrib>Jouven, Xavier</creatorcontrib><creatorcontrib>Antignac, Marie</creatorcontrib><title>Factors associated with poor adherence to medication among hypertensive patients in twelve low and middle income Sub-Saharan countries</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Over the past few decades, the prevalence of hypertension has dramatically increased in Sub-Saharan Africa. Poor adherence has been identified as a major cause of failure to control hypertension. Scarce data are available in Africa. We assessed adherence to medication and identified socioeconomics, clinical and treatment factors associated with low adherence among hypertensive patients in 12 sub-Saharan African countries. We conducted a cross-sectional survey in urban clinics of both low and middle income countries. Data were collected by physicians on demographics, treatment and clinical data among hypertensive patients attending the clinics. Adherence was assessed by questionnaires completed by the patients. Factors associated with low adherence were investigated using logistic regression with a random effect on countries. There were 2198 individuals from 12 countries enrolled in the study. Overall, 678 (30.8%), 738 (33.6%), 782 (35.6%) participants had respectively low, medium and high adherence to antihypertensive medication. Multivariate analysis showed that the use of traditional medicine (OR: 2.28, 95%CI [1.79-2.90]) and individual wealth index (low vs. high wealth: OR: 1.86, 95%CI [1.35-2.56] and middle vs. high wealth: OR: 1.42, 95%CI [1.11-1.81]) were significantly and independently associated with poor adherence to medication. In stratified analysis, these differences in adherence to medication according to individual wealth index were observed in low-income countries (p&lt;0.001) but not in middle-income countries (p = 0.17). In addition, 26.5% of the patients admitted having stopped their treatment due to financial reasons and this proportion was 4 fold higher in the lowest than highest wealth group (47.8% vs 11.4%) (p&lt;0.001). This study revealed the high frequency of poor adherence in African patients and the associated factors. These findings should be useful for tailoring future programs to tackle hypertension in low income countries that are better adapted to patients, with a potential associated enhancement of their effectiveness.</description><subject>Adhesion</subject><subject>Adult</subject><subject>Africa South of the Sahara - epidemiology</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Alternative medicine</subject><subject>Analysis</subject><subject>Antihypertensive agents</subject><subject>Antihypertensive Agents - adverse effects</subject><subject>Antihypertensive Agents - therapeutic use</subject><subject>Antihypertensives</subject><subject>Biology and Life Sciences</subject><subject>Blood pressure</subject><subject>Calcium Channels - genetics</subject><subject>Cardiology</subject><subject>Cardiology and cardiovascular system</subject><subject>Complications and side effects</subject><subject>Cross-Sectional Studies</subject><subject>Demographic aspects</subject><subject>Demographics</subject><subject>Demography</subject><subject>Developing countries</subject><subject>Developing Countries - economics</subject><subject>Dosage and administration</subject><subject>Drug therapy</subject><subject>Drugs</subject><subject>Economic factors</subject><subject>Female</subject><subject>Hospitals</subject><subject>Human health and pathology</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Hypertension - drug therapy</subject><subject>Hypertension - economics</subject><subject>Hypertension - epidemiology</subject><subject>Income</subject><subject>Internal medicine</subject><subject>LDCs</subject><subject>Life Sciences</subject><subject>Low income groups</subject><subject>Male</subject><subject>Medical personnel</subject><subject>Medical research</subject><subject>Medication Adherence</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Multivariate analysis</subject><subject>Patient compliance</subject><subject>Patients</subject><subject>Pharmaceutical sciences</subject><subject>Pharmacology</subject><subject>Pharmacy</subject><subject>Physical Sciences</subject><subject>Physicians</subject><subject>Poverty - economics</subject><subject>Prevalence</subject><subject>Public health</subject><subject>Regression analysis</subject><subject>Research and Analysis Methods</subject><subject>Santé publique et épidémiologie</subject><subject>Social factors</subject><subject>Socioeconomic Factors</subject><subject>Socioeconomics</subject><subject>Surveys</subject><subject>Surveys and Questionnaires</subject><subject>Systematic review</subject><subject>Traditional medicine</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk99qFDEUxgdRbK2-gWhAEHux6-TPJJMboRRrC4WCVW9DJnNmJ2UmWZNMa1_A5zbjbku3eCETmHDO73xJvuQUxWtcLjEV-OOVn4LTw3LtHSxLgiXh_EmxjyUlC05K-vTBfK94EeNVWVa05vx5sUcxkXnQ_eL3iTbJh4h0jN5YnaBFNzb1aO19QLrtIYAzgJJHI7TW6GS9Q3r0boX62zWEBC7aa0DrnAGXIrIOpRsYcmjwN0i7Fo22bQfICeNHQJdTs7jUvQ7aIeMnl4KF-LJ41ukhwqvt_6D4fvL52_Hp4vziy9nx0fnCCMLTAoCAqLpaEF1r0nCQrJRS1qZpu7JiFCraMMJaASAk5p2uuTBYikpC3ZSM04Pi7UZ3PfiothZGRUjFCWYVY5k42xCt11dqHeyow63y2qq_AR9WSodkzQCK4o62dSUZCMFKwSSvK8IEF8JUbdPgrPVpu9rUZPdM9ifoYUd0N-Nsr1b-WnGeN81ngcONQP-o7PToXM2xktCSsrq-ntkP28WC_zlBTGq00cAwaAd-2pwRl5XkJKPvHqH_dmJLrXQ-rHWdz3s0s6g6qiSpecXwTC3_QeWvhdGa_DY7m-M7BYc7BZlJ8Cut9BSjOrv8-v_sxY9d9v0Dtgc9pD76YZofbNwF2QY0wccYoLt3Fpdqbq07N9TcWmrbWrnszcPLvC-66yX6B3X6HmU</recordid><startdate>20190710</startdate><enddate>20190710</enddate><creator>Macquart 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associated with poor adherence to medication among hypertensive patients in twelve low and middle income Sub-Saharan countries</title><author>Macquart de Terline, Diane ; Kane, Adama ; Kramoh, Kouadio Euloge ; Ali Toure, Ibrahim ; Mipinda, Jean Bruno ; Diop, Ibrahima Bara ; Nhavoto, Carol ; Balde, Dadhi M ; Ferreira, Beatriz ; Dèdonougbo Houenassi, Martin ; Ikama, Méo Stéphane ; Kingue, Samuel ; Kouam Kouam, Charles ; Takombe, Jean Laurent ; Limbole, Emmanuel ; Mfeukeu Kuate, Liliane ; N'guetta, Roland ; Damorou, Jean Marc ; Sesso, Zouwera ; Sidy Ali, Abdallahi ; Perier, Marie-Cécile ; Azizi, Michel ; Empana, Jean Philippe ; Jouven, Xavier ; Antignac, Marie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c726t-ee2e75f872a8a2b6e9409998cbdf0543e53b424d7ee7916fa867c19759e8b0463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adhesion</topic><topic>Adult</topic><topic>Africa South of the Sahara - epidemiology</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Alternative medicine</topic><topic>Analysis</topic><topic>Antihypertensive agents</topic><topic>Antihypertensive Agents - adverse effects</topic><topic>Antihypertensive Agents - therapeutic use</topic><topic>Antihypertensives</topic><topic>Biology and Life Sciences</topic><topic>Blood pressure</topic><topic>Calcium Channels - genetics</topic><topic>Cardiology</topic><topic>Cardiology and cardiovascular system</topic><topic>Complications and side effects</topic><topic>Cross-Sectional Studies</topic><topic>Demographic aspects</topic><topic>Demographics</topic><topic>Demography</topic><topic>Developing countries</topic><topic>Developing Countries - economics</topic><topic>Dosage and administration</topic><topic>Drug therapy</topic><topic>Drugs</topic><topic>Economic factors</topic><topic>Female</topic><topic>Hospitals</topic><topic>Human health and pathology</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Hypertension - drug therapy</topic><topic>Hypertension - economics</topic><topic>Hypertension - epidemiology</topic><topic>Income</topic><topic>Internal medicine</topic><topic>LDCs</topic><topic>Life Sciences</topic><topic>Low income groups</topic><topic>Male</topic><topic>Medical personnel</topic><topic>Medical research</topic><topic>Medication Adherence</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Multivariate analysis</topic><topic>Patient compliance</topic><topic>Patients</topic><topic>Pharmaceutical sciences</topic><topic>Pharmacology</topic><topic>Pharmacy</topic><topic>Physical Sciences</topic><topic>Physicians</topic><topic>Poverty - economics</topic><topic>Prevalence</topic><topic>Public health</topic><topic>Regression analysis</topic><topic>Research and Analysis Methods</topic><topic>Santé publique et épidémiologie</topic><topic>Social factors</topic><topic>Socioeconomic Factors</topic><topic>Socioeconomics</topic><topic>Surveys</topic><topic>Surveys and Questionnaires</topic><topic>Systematic review</topic><topic>Traditional medicine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Macquart de Terline, Diane</creatorcontrib><creatorcontrib>Kane, Adama</creatorcontrib><creatorcontrib>Kramoh, Kouadio Euloge</creatorcontrib><creatorcontrib>Ali Toure, Ibrahim</creatorcontrib><creatorcontrib>Mipinda, Jean Bruno</creatorcontrib><creatorcontrib>Diop, Ibrahima Bara</creatorcontrib><creatorcontrib>Nhavoto, Carol</creatorcontrib><creatorcontrib>Balde, Dadhi M</creatorcontrib><creatorcontrib>Ferreira, Beatriz</creatorcontrib><creatorcontrib>Dèdonougbo Houenassi, Martin</creatorcontrib><creatorcontrib>Ikama, Méo Stéphane</creatorcontrib><creatorcontrib>Kingue, Samuel</creatorcontrib><creatorcontrib>Kouam Kouam, Charles</creatorcontrib><creatorcontrib>Takombe, Jean Laurent</creatorcontrib><creatorcontrib>Limbole, Emmanuel</creatorcontrib><creatorcontrib>Mfeukeu Kuate, Liliane</creatorcontrib><creatorcontrib>N'guetta, Roland</creatorcontrib><creatorcontrib>Damorou, Jean Marc</creatorcontrib><creatorcontrib>Sesso, Zouwera</creatorcontrib><creatorcontrib>Sidy Ali, Abdallahi</creatorcontrib><creatorcontrib>Perier, Marie-Cécile</creatorcontrib><creatorcontrib>Azizi, Michel</creatorcontrib><creatorcontrib>Empana, Jean Philippe</creatorcontrib><creatorcontrib>Jouven, Xavier</creatorcontrib><creatorcontrib>Antignac, Marie</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior 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China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Macquart de Terline, Diane</au><au>Kane, Adama</au><au>Kramoh, Kouadio Euloge</au><au>Ali Toure, Ibrahim</au><au>Mipinda, Jean Bruno</au><au>Diop, Ibrahima Bara</au><au>Nhavoto, Carol</au><au>Balde, Dadhi M</au><au>Ferreira, Beatriz</au><au>Dèdonougbo Houenassi, Martin</au><au>Ikama, Méo Stéphane</au><au>Kingue, Samuel</au><au>Kouam Kouam, Charles</au><au>Takombe, Jean Laurent</au><au>Limbole, Emmanuel</au><au>Mfeukeu Kuate, Liliane</au><au>N'guetta, Roland</au><au>Damorou, Jean Marc</au><au>Sesso, Zouwera</au><au>Sidy Ali, Abdallahi</au><au>Perier, Marie-Cécile</au><au>Azizi, Michel</au><au>Empana, Jean Philippe</au><au>Jouven, Xavier</au><au>Antignac, Marie</au><au>Li, Yan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Factors associated with poor adherence to medication among hypertensive patients in twelve low and middle income Sub-Saharan countries</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2019-07-10</date><risdate>2019</risdate><volume>14</volume><issue>7</issue><spage>e0219266</spage><epage>e0219266</epage><pages>e0219266-e0219266</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Over the past few decades, the prevalence of hypertension has dramatically increased in Sub-Saharan Africa. Poor adherence has been identified as a major cause of failure to control hypertension. Scarce data are available in Africa. We assessed adherence to medication and identified socioeconomics, clinical and treatment factors associated with low adherence among hypertensive patients in 12 sub-Saharan African countries. We conducted a cross-sectional survey in urban clinics of both low and middle income countries. Data were collected by physicians on demographics, treatment and clinical data among hypertensive patients attending the clinics. Adherence was assessed by questionnaires completed by the patients. Factors associated with low adherence were investigated using logistic regression with a random effect on countries. There were 2198 individuals from 12 countries enrolled in the study. Overall, 678 (30.8%), 738 (33.6%), 782 (35.6%) participants had respectively low, medium and high adherence to antihypertensive medication. Multivariate analysis showed that the use of traditional medicine (OR: 2.28, 95%CI [1.79-2.90]) and individual wealth index (low vs. high wealth: OR: 1.86, 95%CI [1.35-2.56] and middle vs. high wealth: OR: 1.42, 95%CI [1.11-1.81]) were significantly and independently associated with poor adherence to medication. In stratified analysis, these differences in adherence to medication according to individual wealth index were observed in low-income countries (p&lt;0.001) but not in middle-income countries (p = 0.17). In addition, 26.5% of the patients admitted having stopped their treatment due to financial reasons and this proportion was 4 fold higher in the lowest than highest wealth group (47.8% vs 11.4%) (p&lt;0.001). This study revealed the high frequency of poor adherence in African patients and the associated factors. These findings should be useful for tailoring future programs to tackle hypertension in low income countries that are better adapted to patients, with a potential associated enhancement of their effectiveness.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>31291293</pmid><doi>10.1371/journal.pone.0219266</doi><tpages>e0219266</tpages><orcidid>https://orcid.org/0000-0003-4272-1597</orcidid><oa>free_for_read</oa></addata></record>
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subjects Adhesion
Adult
Africa South of the Sahara - epidemiology
Aged
Aged, 80 and over
Alternative medicine
Analysis
Antihypertensive agents
Antihypertensive Agents - adverse effects
Antihypertensive Agents - therapeutic use
Antihypertensives
Biology and Life Sciences
Blood pressure
Calcium Channels - genetics
Cardiology
Cardiology and cardiovascular system
Complications and side effects
Cross-Sectional Studies
Demographic aspects
Demographics
Demography
Developing countries
Developing Countries - economics
Dosage and administration
Drug therapy
Drugs
Economic factors
Female
Hospitals
Human health and pathology
Humans
Hypertension
Hypertension - drug therapy
Hypertension - economics
Hypertension - epidemiology
Income
Internal medicine
LDCs
Life Sciences
Low income groups
Male
Medical personnel
Medical research
Medication Adherence
Medicine and Health Sciences
Middle Aged
Multivariate analysis
Patient compliance
Patients
Pharmaceutical sciences
Pharmacology
Pharmacy
Physical Sciences
Physicians
Poverty - economics
Prevalence
Public health
Regression analysis
Research and Analysis Methods
Santé publique et épidémiologie
Social factors
Socioeconomic Factors
Socioeconomics
Surveys
Surveys and Questionnaires
Systematic review
Traditional medicine
title Factors associated with poor adherence to medication among hypertensive patients in twelve low and middle income Sub-Saharan countries
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