Factors Associated with Non-Adherence to Drugs in Patients with Chronic Diseases Who Go to Pharmacies in Spain
Pharmacological non-adherence in chronic diseases is 40-65%. No predictive profile of non-adherence exists in patients with multiple chronic diseases. Our study aimed to quantify the prevalence of non-adherence to pharmacological treatment and its associated factors in patients who visit pharmacies...
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Veröffentlicht in: | International journal of environmental research and public health 2021-04, Vol.18 (8), p.4308 |
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creator | Llorca, Carmen Valdés Y Cortés Castell, Ernesto Ribera Casado, José Manuel de Lucas Ramos, Pilar Casteig Ayestarán, José Luis Casteig Blanco, Amaia Gil Guillén, Vicente Francisco Rizo Baeza, Mercedes |
description | Pharmacological non-adherence in chronic diseases is 40-65%. No predictive profile of non-adherence exists in patients with multiple chronic diseases. Our study aimed to quantify the prevalence of non-adherence to pharmacological treatment and its associated factors in patients who visit pharmacies in Spain.
This observational cross-sectional study included patients with one or more chronic diseases. The variables analyzed were demographics, diseases involved, self-medication, information about disease, and lifestyle. The main variable was adherence using the Morisky-Green test. A total of 132 pharmacies collaborated, providing 6327 patients representing all Spain regions (April-December 2016). Bivariate and multivariate analyses were performed and the area under the receiver operating characteristic (ROC) curve was calculated.
Non-adherence was 48.4% (95% confidence interval (CI): 47.2-49.7%). The variables that reached significance in the multivariate model were: difficulty in taking medication, self-medication, desire for more information, smoking, lower physical activity, younger age and number of chronic treatments. Discrimination was satisfactory (area under the ROC curve = 70%). Our study found that 50% patients was non-adherent and we obtained a profile of variables associated with therapeutic non-adherence.
It is cause for concern that in patients with multiple diseases and taking multiple medications, there is an association between non-adherence, self-medication and worse lifestyle. |
doi_str_mv | 10.3390/ijerph18084308 |
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This observational cross-sectional study included patients with one or more chronic diseases. The variables analyzed were demographics, diseases involved, self-medication, information about disease, and lifestyle. The main variable was adherence using the Morisky-Green test. A total of 132 pharmacies collaborated, providing 6327 patients representing all Spain regions (April-December 2016). Bivariate and multivariate analyses were performed and the area under the receiver operating characteristic (ROC) curve was calculated.
Non-adherence was 48.4% (95% confidence interval (CI): 47.2-49.7%). The variables that reached significance in the multivariate model were: difficulty in taking medication, self-medication, desire for more information, smoking, lower physical activity, younger age and number of chronic treatments. Discrimination was satisfactory (area under the ROC curve = 70%). Our study found that 50% patients was non-adherent and we obtained a profile of variables associated with therapeutic non-adherence.
It is cause for concern that in patients with multiple diseases and taking multiple medications, there is an association between non-adherence, self-medication and worse lifestyle.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph18084308</identifier><identifier>PMID: 33921619</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Asthma ; Bivariate analysis ; Caregivers ; Chronic Disease ; Chronic illnesses ; Chronic obstructive pulmonary disease ; Confidence intervals ; Cross-Sectional Studies ; Demographic variables ; Demographics ; Demography ; Disease ; Diseases ; Drug stores ; Drugs ; Humans ; Hypertension ; Medication Adherence ; Multivariate analysis ; Osteoporosis ; Patient compliance ; Patients ; Pharmaceutical Preparations ; Pharmacies ; Pharmacology ; Physical activity ; Self-medication ; Spain - epidemiology ; Statistical analysis ; Variables</subject><ispartof>International journal of environmental research and public health, 2021-04, Vol.18 (8), p.4308</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 by the authors. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c418t-9b03fb4e3a8010c332d5f4aab6c46793f42892fd971159525a2a6cc58350bf5d3</citedby><cites>FETCH-LOGICAL-c418t-9b03fb4e3a8010c332d5f4aab6c46793f42892fd971159525a2a6cc58350bf5d3</cites><orcidid>0000-0002-6929-9587 ; 0000-0002-9377-8262</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/PMC8073745/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8073745/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33921619$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Llorca, Carmen Valdés Y</creatorcontrib><creatorcontrib>Cortés Castell, Ernesto</creatorcontrib><creatorcontrib>Ribera Casado, José Manuel</creatorcontrib><creatorcontrib>de Lucas Ramos, Pilar</creatorcontrib><creatorcontrib>Casteig Ayestarán, José Luis</creatorcontrib><creatorcontrib>Casteig Blanco, Amaia</creatorcontrib><creatorcontrib>Gil Guillén, Vicente Francisco</creatorcontrib><creatorcontrib>Rizo Baeza, Mercedes</creatorcontrib><title>Factors Associated with Non-Adherence to Drugs in Patients with Chronic Diseases Who Go to Pharmacies in Spain</title><title>International journal of environmental research and public health</title><addtitle>Int J Environ Res Public Health</addtitle><description>Pharmacological non-adherence in chronic diseases is 40-65%. No predictive profile of non-adherence exists in patients with multiple chronic diseases. Our study aimed to quantify the prevalence of non-adherence to pharmacological treatment and its associated factors in patients who visit pharmacies in Spain.
This observational cross-sectional study included patients with one or more chronic diseases. The variables analyzed were demographics, diseases involved, self-medication, information about disease, and lifestyle. The main variable was adherence using the Morisky-Green test. A total of 132 pharmacies collaborated, providing 6327 patients representing all Spain regions (April-December 2016). Bivariate and multivariate analyses were performed and the area under the receiver operating characteristic (ROC) curve was calculated.
Non-adherence was 48.4% (95% confidence interval (CI): 47.2-49.7%). The variables that reached significance in the multivariate model were: difficulty in taking medication, self-medication, desire for more information, smoking, lower physical activity, younger age and number of chronic treatments. Discrimination was satisfactory (area under the ROC curve = 70%). Our study found that 50% patients was non-adherent and we obtained a profile of variables associated with therapeutic non-adherence.
It is cause for concern that in patients with multiple diseases and taking multiple medications, there is an association between non-adherence, self-medication and worse lifestyle.</description><subject>Asthma</subject><subject>Bivariate analysis</subject><subject>Caregivers</subject><subject>Chronic Disease</subject><subject>Chronic illnesses</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Confidence intervals</subject><subject>Cross-Sectional Studies</subject><subject>Demographic variables</subject><subject>Demographics</subject><subject>Demography</subject><subject>Disease</subject><subject>Diseases</subject><subject>Drug stores</subject><subject>Drugs</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Medication Adherence</subject><subject>Multivariate analysis</subject><subject>Osteoporosis</subject><subject>Patient compliance</subject><subject>Patients</subject><subject>Pharmaceutical Preparations</subject><subject>Pharmacies</subject><subject>Pharmacology</subject><subject>Physical activity</subject><subject>Self-medication</subject><subject>Spain - epidemiology</subject><subject>Statistical analysis</subject><subject>Variables</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</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><recordid>eNpdkctr3DAQxkVpaB7ttcci6CUXJ3pbvhSW3eYBIQmkpUcxluVYy660leyU_PdRsklIepqB-X0fM_Mh9JWSI84bcuyXLm0GqokWnOgPaI8qRSqhCP34pt9F-zkvCeFaqOYT2i1SRhVt9lA4ATvGlPEs52g9jK7D__w44MsYqlk3uOSCdXiMeJGm24x9wNcwehfGvOXmQ4rBW7zw2UF2Gf8ZIj6Nj4rrAdIarHdPspsN-PAZ7fSwyu7Lcz1Av09-_pqfVRdXp-fz2UVlBdVj1bSE961wHDShxHLOOtkLgFZZoeqG94LphvVdU1MqG8kkMFDWSs0laXvZ8QP0Y-u7mdq162zZN8HKbJJfQ7o3Ebx5Pwl-MLfxzmhS81rIYnD4bJDi38nl0ax9tm61guDilA2TjGhFWM0K-v0_dBmnFMp5hSoJlJdTVaijLWVTzDm5_nUZSsxjlOZ9lEXw7e0Jr_hLdvwBUlCbKw</recordid><startdate>20210419</startdate><enddate>20210419</enddate><creator>Llorca, Carmen Valdés Y</creator><creator>Cortés Castell, Ernesto</creator><creator>Ribera Casado, José Manuel</creator><creator>de Lucas Ramos, Pilar</creator><creator>Casteig Ayestarán, José Luis</creator><creator>Casteig Blanco, Amaia</creator><creator>Gil Guillén, Vicente Francisco</creator><creator>Rizo Baeza, Mercedes</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6929-9587</orcidid><orcidid>https://orcid.org/0000-0002-9377-8262</orcidid></search><sort><creationdate>20210419</creationdate><title>Factors Associated with Non-Adherence to Drugs in Patients with Chronic Diseases Who Go to Pharmacies in Spain</title><author>Llorca, Carmen Valdés Y ; 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No predictive profile of non-adherence exists in patients with multiple chronic diseases. Our study aimed to quantify the prevalence of non-adherence to pharmacological treatment and its associated factors in patients who visit pharmacies in Spain.
This observational cross-sectional study included patients with one or more chronic diseases. The variables analyzed were demographics, diseases involved, self-medication, information about disease, and lifestyle. The main variable was adherence using the Morisky-Green test. A total of 132 pharmacies collaborated, providing 6327 patients representing all Spain regions (April-December 2016). Bivariate and multivariate analyses were performed and the area under the receiver operating characteristic (ROC) curve was calculated.
Non-adherence was 48.4% (95% confidence interval (CI): 47.2-49.7%). The variables that reached significance in the multivariate model were: difficulty in taking medication, self-medication, desire for more information, smoking, lower physical activity, younger age and number of chronic treatments. Discrimination was satisfactory (area under the ROC curve = 70%). Our study found that 50% patients was non-adherent and we obtained a profile of variables associated with therapeutic non-adherence.
It is cause for concern that in patients with multiple diseases and taking multiple medications, there is an association between non-adherence, self-medication and worse lifestyle.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>33921619</pmid><doi>10.3390/ijerph18084308</doi><orcidid>https://orcid.org/0000-0002-6929-9587</orcidid><orcidid>https://orcid.org/0000-0002-9377-8262</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Asthma Bivariate analysis Caregivers Chronic Disease Chronic illnesses Chronic obstructive pulmonary disease Confidence intervals Cross-Sectional Studies Demographic variables Demographics Demography Disease Diseases Drug stores Drugs Humans Hypertension Medication Adherence Multivariate analysis Osteoporosis Patient compliance Patients Pharmaceutical Preparations Pharmacies Pharmacology Physical activity Self-medication Spain - epidemiology Statistical analysis Variables |
title | Factors Associated with Non-Adherence to Drugs in Patients with Chronic Diseases Who Go to Pharmacies in Spain |
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