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Understanding barriers to optimal medication management for those requiring long-term dialysis: rationale and design for an observational study, and a quantitative description of study variables and data

BACKGROUND: Rates of medication non-adherence in dialysis patients are high, and improving adherence is likely to improve outcomes. Few data are available regarding factors associated with medication adherence in dialysis patients, and these data are needed to inform effective intervention strategie...

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Autores principales: Aspden, Trudi, Wolley, Martin J, Ma, Tian M, Rajah, Edwin, Curd, Samantha, Kumar, Dharni, Lee, Sophia, Pireva, Krenare, Taule’alo, Olita, Tiavale, Porsche, Kam, Angela L, Suh, Jun S, Kennedy, Julia, Marshall, Mark R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499205/
https://www.ncbi.nlm.nih.gov/pubmed/26162369
http://dx.doi.org/10.1186/s12882-015-0097-2
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author Aspden, Trudi
Wolley, Martin J
Ma, Tian M
Rajah, Edwin
Curd, Samantha
Kumar, Dharni
Lee, Sophia
Pireva, Krenare
Taule’alo, Olita
Tiavale, Porsche
Kam, Angela L
Suh, Jun S
Kennedy, Julia
Marshall, Mark R
author_facet Aspden, Trudi
Wolley, Martin J
Ma, Tian M
Rajah, Edwin
Curd, Samantha
Kumar, Dharni
Lee, Sophia
Pireva, Krenare
Taule’alo, Olita
Tiavale, Porsche
Kam, Angela L
Suh, Jun S
Kennedy, Julia
Marshall, Mark R
author_sort Aspden, Trudi
collection PubMed
description BACKGROUND: Rates of medication non-adherence in dialysis patients are high, and improving adherence is likely to improve outcomes. Few data are available regarding factors associated with medication adherence in dialysis patients, and these data are needed to inform effective intervention strategies. METHODS/DESIGN: This is an observational cross-sectional study of a multi-ethnic dialysis cohort from New Zealand, with the main data collection tool being an interviewer-assisted survey. A total of 100 participants were randomly sampled from a single centre, with selection stratified by ethnicity and dialysis modality (facility versus home). The main outcome measure is self-reported medication adherence using the Morisky 8-Item Medication Adherence Scale (MMAS-8). Study data include demographic, clinical, social and psychometric characteristics, the latter being constructs of health literacy, medication knowledge, beliefs about medications, and illness perceptions. Psychometric constructs were assessed through the following survey instruments; health literacy screening questions, the Medication Knowledge Evaluation Tool (Okuyan et al.), the Beliefs about Medication Questionnaire (Horne et al.), the Brief Illness Perception Questionnaire (Broadbent et al.). Using the study data, reliability analysis for internal consistency is satisfactory for the scales evaluating health literacy, medication knowledge, and beliefs about medications, with Chronbach’s α > 0.7 for all. Reliability analysis indicated poor internal consistency for scales relating to illness perceptions. MMAS-8 and all psychometric scores are normally distributed in the study data. DISCUSSION: This study will provide important information on the factors involved in medication non-adherence in New Zealand dialysis patients. The resulting knowledge will inform long-term initiatives to reduce medication non-adherence in dialysis patients, and help ensure that they are addressing appropriate and evidence based targets for intervention. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12882-015-0097-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-44992052015-07-12 Understanding barriers to optimal medication management for those requiring long-term dialysis: rationale and design for an observational study, and a quantitative description of study variables and data Aspden, Trudi Wolley, Martin J Ma, Tian M Rajah, Edwin Curd, Samantha Kumar, Dharni Lee, Sophia Pireva, Krenare Taule’alo, Olita Tiavale, Porsche Kam, Angela L Suh, Jun S Kennedy, Julia Marshall, Mark R BMC Nephrol Study Protocol BACKGROUND: Rates of medication non-adherence in dialysis patients are high, and improving adherence is likely to improve outcomes. Few data are available regarding factors associated with medication adherence in dialysis patients, and these data are needed to inform effective intervention strategies. METHODS/DESIGN: This is an observational cross-sectional study of a multi-ethnic dialysis cohort from New Zealand, with the main data collection tool being an interviewer-assisted survey. A total of 100 participants were randomly sampled from a single centre, with selection stratified by ethnicity and dialysis modality (facility versus home). The main outcome measure is self-reported medication adherence using the Morisky 8-Item Medication Adherence Scale (MMAS-8). Study data include demographic, clinical, social and psychometric characteristics, the latter being constructs of health literacy, medication knowledge, beliefs about medications, and illness perceptions. Psychometric constructs were assessed through the following survey instruments; health literacy screening questions, the Medication Knowledge Evaluation Tool (Okuyan et al.), the Beliefs about Medication Questionnaire (Horne et al.), the Brief Illness Perception Questionnaire (Broadbent et al.). Using the study data, reliability analysis for internal consistency is satisfactory for the scales evaluating health literacy, medication knowledge, and beliefs about medications, with Chronbach’s α > 0.7 for all. Reliability analysis indicated poor internal consistency for scales relating to illness perceptions. MMAS-8 and all psychometric scores are normally distributed in the study data. DISCUSSION: This study will provide important information on the factors involved in medication non-adherence in New Zealand dialysis patients. The resulting knowledge will inform long-term initiatives to reduce medication non-adherence in dialysis patients, and help ensure that they are addressing appropriate and evidence based targets for intervention. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12882-015-0097-2) contains supplementary material, which is available to authorized users. BioMed Central 2015-07-11 /pmc/articles/PMC4499205/ /pubmed/26162369 http://dx.doi.org/10.1186/s12882-015-0097-2 Text en © Aspden et al. 2015 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Study Protocol
Aspden, Trudi
Wolley, Martin J
Ma, Tian M
Rajah, Edwin
Curd, Samantha
Kumar, Dharni
Lee, Sophia
Pireva, Krenare
Taule’alo, Olita
Tiavale, Porsche
Kam, Angela L
Suh, Jun S
Kennedy, Julia
Marshall, Mark R
Understanding barriers to optimal medication management for those requiring long-term dialysis: rationale and design for an observational study, and a quantitative description of study variables and data
title Understanding barriers to optimal medication management for those requiring long-term dialysis: rationale and design for an observational study, and a quantitative description of study variables and data
title_full Understanding barriers to optimal medication management for those requiring long-term dialysis: rationale and design for an observational study, and a quantitative description of study variables and data
title_fullStr Understanding barriers to optimal medication management for those requiring long-term dialysis: rationale and design for an observational study, and a quantitative description of study variables and data
title_full_unstemmed Understanding barriers to optimal medication management for those requiring long-term dialysis: rationale and design for an observational study, and a quantitative description of study variables and data
title_short Understanding barriers to optimal medication management for those requiring long-term dialysis: rationale and design for an observational study, and a quantitative description of study variables and data
title_sort understanding barriers to optimal medication management for those requiring long-term dialysis: rationale and design for an observational study, and a quantitative description of study variables and data
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499205/
https://www.ncbi.nlm.nih.gov/pubmed/26162369
http://dx.doi.org/10.1186/s12882-015-0097-2
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