Cargando…

Detection of Low Adherence in Rural Tuberculosis Patients in China: Application of Morisky Medication Adherence Scale

The detection and analysis of cases of low medication adherence is important for helping to control tuberculosis (TB). The purpose of this study was to detect low adherence in rural TB patients by using the eight-item Morisky Medication Adherence Scale of Chinese version (C-MMAS-8) and to further an...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Minlan, Markström, Urban, Lyu, Juncheng, Xu, Lingzhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5369084/
https://www.ncbi.nlm.nih.gov/pubmed/28257075
http://dx.doi.org/10.3390/ijerph14030248
_version_ 1782518058857791488
author Xu, Minlan
Markström, Urban
Lyu, Juncheng
Xu, Lingzhong
author_facet Xu, Minlan
Markström, Urban
Lyu, Juncheng
Xu, Lingzhong
author_sort Xu, Minlan
collection PubMed
description The detection and analysis of cases of low medication adherence is important for helping to control tuberculosis (TB). The purpose of this study was to detect low adherence in rural TB patients by using the eight-item Morisky Medication Adherence Scale of Chinese version (C-MMAS-8) and to further analyze the adherence-related variables. A total of 358 rural TB patients recruited through multi-stage randomized sampling participated in the survey. Data were collected by the use of interviewer-led questionnaires. First, the reliability and validity of the C-MMAS-8 were determined. Second, the adherence level was assessed, and factors related to low adherence were analyzed by using Pearson’s chi-square test and then in multiple logistic regression model. Finally, the prediction of the logistic model was assessed with Receiver Operating Characteristic (ROC) curves. The C-MMAS-8 could be used to detect low adherence in TB patients with good reliability and validity. By using the referred cutoff points of MMAS-8, it was found that more than one-third of the participants had low medication adherence. Further analysis revealed the variables of being older, a longer treatment time, and being depressive were significantly related to low adherence. The ROC of the model was assessed as good using the cutoff point. We conclude that appropriately tailored strategies are needed for health-care providers to help rural TB patients cope with low medication adherence.
format Online
Article
Text
id pubmed-5369084
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-53690842017-04-05 Detection of Low Adherence in Rural Tuberculosis Patients in China: Application of Morisky Medication Adherence Scale Xu, Minlan Markström, Urban Lyu, Juncheng Xu, Lingzhong Int J Environ Res Public Health Article The detection and analysis of cases of low medication adherence is important for helping to control tuberculosis (TB). The purpose of this study was to detect low adherence in rural TB patients by using the eight-item Morisky Medication Adherence Scale of Chinese version (C-MMAS-8) and to further analyze the adherence-related variables. A total of 358 rural TB patients recruited through multi-stage randomized sampling participated in the survey. Data were collected by the use of interviewer-led questionnaires. First, the reliability and validity of the C-MMAS-8 were determined. Second, the adherence level was assessed, and factors related to low adherence were analyzed by using Pearson’s chi-square test and then in multiple logistic regression model. Finally, the prediction of the logistic model was assessed with Receiver Operating Characteristic (ROC) curves. The C-MMAS-8 could be used to detect low adherence in TB patients with good reliability and validity. By using the referred cutoff points of MMAS-8, it was found that more than one-third of the participants had low medication adherence. Further analysis revealed the variables of being older, a longer treatment time, and being depressive were significantly related to low adherence. The ROC of the model was assessed as good using the cutoff point. We conclude that appropriately tailored strategies are needed for health-care providers to help rural TB patients cope with low medication adherence. MDPI 2017-03-01 2017-03 /pmc/articles/PMC5369084/ /pubmed/28257075 http://dx.doi.org/10.3390/ijerph14030248 Text en © 2017 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Xu, Minlan
Markström, Urban
Lyu, Juncheng
Xu, Lingzhong
Detection of Low Adherence in Rural Tuberculosis Patients in China: Application of Morisky Medication Adherence Scale
title Detection of Low Adherence in Rural Tuberculosis Patients in China: Application of Morisky Medication Adherence Scale
title_full Detection of Low Adherence in Rural Tuberculosis Patients in China: Application of Morisky Medication Adherence Scale
title_fullStr Detection of Low Adherence in Rural Tuberculosis Patients in China: Application of Morisky Medication Adherence Scale
title_full_unstemmed Detection of Low Adherence in Rural Tuberculosis Patients in China: Application of Morisky Medication Adherence Scale
title_short Detection of Low Adherence in Rural Tuberculosis Patients in China: Application of Morisky Medication Adherence Scale
title_sort detection of low adherence in rural tuberculosis patients in china: application of morisky medication adherence scale
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5369084/
https://www.ncbi.nlm.nih.gov/pubmed/28257075
http://dx.doi.org/10.3390/ijerph14030248
work_keys_str_mv AT xuminlan detectionoflowadherenceinruraltuberculosispatientsinchinaapplicationofmoriskymedicationadherencescale
AT markstromurban detectionoflowadherenceinruraltuberculosispatientsinchinaapplicationofmoriskymedicationadherencescale
AT lyujuncheng detectionoflowadherenceinruraltuberculosispatientsinchinaapplicationofmoriskymedicationadherencescale
AT xulingzhong detectionoflowadherenceinruraltuberculosispatientsinchinaapplicationofmoriskymedicationadherencescale