José Moral de la Rubia , María Teresa Alejandra Cerda
{"title":"Predictores psicosociales de adherencia a la medicación en pacientes con diabetes tipo 2","authors":"José Moral de la Rubia , María Teresa Alejandra Cerda","doi":"10.1016/S2171-2069(15)70003-7","DOIUrl":null,"url":null,"abstract":"<div><p>A study was designed with the aims of estimating the prevalence of patients with medication adherence problems, and studying the association between the numberof adhesion problems and socio-demographic variables, clinical variables, illness perception and support social. For this purpose, a probability sample of 289 patients treated in the Diabetes Clinic of the Medical Service of the Autonomous University of Nuevo Leon (UANL), Mexico, was selected. Ascale of medication adherence, a questionnaire of illness perception and two social support scales were applied to this clinical sample. The results showed that the prevalence of problems of adherence to treatment was significant. Medication adherence was predicted by greater perceived improvement owing to treatment and by being older. This model had a close fit to the data by the Maximum Likelihood method. It is concluded that the medication that produces improvement perceived by the patient is the most important variable to predictive the medication adhesion.</p></div>","PeriodicalId":44413,"journal":{"name":"Revista Iberoamericana de Psicologia y Salud","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S2171-2069(15)70003-7","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista Iberoamericana de Psicologia y Salud","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2171206915700037","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHOLOGY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 9
Abstract
A study was designed with the aims of estimating the prevalence of patients with medication adherence problems, and studying the association between the numberof adhesion problems and socio-demographic variables, clinical variables, illness perception and support social. For this purpose, a probability sample of 289 patients treated in the Diabetes Clinic of the Medical Service of the Autonomous University of Nuevo Leon (UANL), Mexico, was selected. Ascale of medication adherence, a questionnaire of illness perception and two social support scales were applied to this clinical sample. The results showed that the prevalence of problems of adherence to treatment was significant. Medication adherence was predicted by greater perceived improvement owing to treatment and by being older. This model had a close fit to the data by the Maximum Likelihood method. It is concluded that the medication that produces improvement perceived by the patient is the most important variable to predictive the medication adhesion.
期刊介绍:
Slide background NÚMEROS ANTERIORES Todos los números publicados de la Revista Iberoamericana de Psicología y Salud. NORMAS DE PUBLICACIÓN VERSIÓN EN INGLÉS La Revista Iberoamericana de Psicología y Salud, revista oficial de la Federación Iberoamericana de Asociaciones de Psicología (FIAP) y de la Sociedad Universitaria de Investigación en Psicología y Salud (SUIPS) publica artículos bibliométricos y empíricos así como revisiones meta-analíticas sobre tópicos relacionados con la Psicología y las Ciencias de la Salud. La revista publica originales en español, portugués o inglés. La revista está dirigida a investigadores, académicos y profesionales, especialmente de la comunidad Iberoamericana, de la Psicología y de las Ciencias de la Salud (e.g., medicina, enfermería, fisioterapia) con el objetivo general de servir como puente entre estas áreas y transferir conocimiento basado en evidencia científica a los académicos y profesionales en tiempo real.