Cargando…

Using the extended self-regulatory model to characterise diabetes medication adherence: a cross-sectional study

OBJECTIVES: To cluster the adherence behaviours of patients with type 2 diabetes based on their beliefs in medicines and illness perceptions and examine the psychosocial, clinical and sociodemographic characteristics of patient clusters. DESIGN: Cross-sectional study. SETTING: A face-to-face survey...

Descripción completa

Detalles Bibliográficos
Autores principales: Shiyanbola, Olayinka O, Unni, Elizabeth, Huang, Yen-Ming, Lanier, Cameron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6254403/
https://www.ncbi.nlm.nih.gov/pubmed/30478112
http://dx.doi.org/10.1136/bmjopen-2018-022803
_version_ 1783373707690901504
author Shiyanbola, Olayinka O
Unni, Elizabeth
Huang, Yen-Ming
Lanier, Cameron
author_facet Shiyanbola, Olayinka O
Unni, Elizabeth
Huang, Yen-Ming
Lanier, Cameron
author_sort Shiyanbola, Olayinka O
collection PubMed
description OBJECTIVES: To cluster the adherence behaviours of patients with type 2 diabetes based on their beliefs in medicines and illness perceptions and examine the psychosocial, clinical and sociodemographic characteristics of patient clusters. DESIGN: Cross-sectional study. SETTING: A face-to-face survey was administered to patients at two family medicine clinics in the Midwest, USA. PARTICIPANTS: One hundred and seventy-four ≥20-year-old, English-speaking adult patients with type 2 diabetes who were prescribed at least one oral diabetes medicine daily were recruited using convenience sampling. PRIMARY AND SECONDARY OUTCOME MEASURES: Beliefs in medicines and illness perceptions were assessed using the Beliefs about Medicines Questionnaire and the Brief Illness Perception Questionnaire, respectively. Self-reported medication adherence was assessed using the Morisky Medication Adherence Scale. Psychosocial correlates of adherence, health literacy and self-efficacy were measured using the Newest Vital Sign and the Self-efficacy for Appropriate Medication Use, respectively. Two-step cluster analysis was used to classify patients. RESULTS: Participants’ mean age was 58.74 (SD=12.84). The majority were women (57.5%). Four clusters were formed (non-adherent clusters: ambivalent and sceptical; adherent clusters: indifferent and accepting). The ambivalent cluster (n=30, 17.2%) included low-adherent patients with high necessity beliefs, high concern beliefs and high illness perceptions. The sceptical cluster (n=53, 30.5%) included low adherent patients with low necessity beliefs but high concern beliefs and high illness perceptions. Both the accepting (n=40, 23.0%) and indifferent (n=51, 29.3%) clusters were composed of patients with high adherence. Significant differences between the ambivalent, sceptical, accepting and indifferent adherent clusters were based on self-efficacy, illness perception domains (treatment control and coherence) and haemoglobin A1c (p<0.01). CONCLUSIONS: Patients with diabetes in specific non-adherent and adherent clusters still have distinct beliefs as well as psychosocial characteristics that may help providers target tailored medication adherence interventions.
format Online
Article
Text
id pubmed-6254403
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-62544032018-12-11 Using the extended self-regulatory model to characterise diabetes medication adherence: a cross-sectional study Shiyanbola, Olayinka O Unni, Elizabeth Huang, Yen-Ming Lanier, Cameron BMJ Open Patient-Centred Medicine OBJECTIVES: To cluster the adherence behaviours of patients with type 2 diabetes based on their beliefs in medicines and illness perceptions and examine the psychosocial, clinical and sociodemographic characteristics of patient clusters. DESIGN: Cross-sectional study. SETTING: A face-to-face survey was administered to patients at two family medicine clinics in the Midwest, USA. PARTICIPANTS: One hundred and seventy-four ≥20-year-old, English-speaking adult patients with type 2 diabetes who were prescribed at least one oral diabetes medicine daily were recruited using convenience sampling. PRIMARY AND SECONDARY OUTCOME MEASURES: Beliefs in medicines and illness perceptions were assessed using the Beliefs about Medicines Questionnaire and the Brief Illness Perception Questionnaire, respectively. Self-reported medication adherence was assessed using the Morisky Medication Adherence Scale. Psychosocial correlates of adherence, health literacy and self-efficacy were measured using the Newest Vital Sign and the Self-efficacy for Appropriate Medication Use, respectively. Two-step cluster analysis was used to classify patients. RESULTS: Participants’ mean age was 58.74 (SD=12.84). The majority were women (57.5%). Four clusters were formed (non-adherent clusters: ambivalent and sceptical; adherent clusters: indifferent and accepting). The ambivalent cluster (n=30, 17.2%) included low-adherent patients with high necessity beliefs, high concern beliefs and high illness perceptions. The sceptical cluster (n=53, 30.5%) included low adherent patients with low necessity beliefs but high concern beliefs and high illness perceptions. Both the accepting (n=40, 23.0%) and indifferent (n=51, 29.3%) clusters were composed of patients with high adherence. Significant differences between the ambivalent, sceptical, accepting and indifferent adherent clusters were based on self-efficacy, illness perception domains (treatment control and coherence) and haemoglobin A1c (p<0.01). CONCLUSIONS: Patients with diabetes in specific non-adherent and adherent clusters still have distinct beliefs as well as psychosocial characteristics that may help providers target tailored medication adherence interventions. BMJ Publishing Group 2018-11-25 /pmc/articles/PMC6254403/ /pubmed/30478112 http://dx.doi.org/10.1136/bmjopen-2018-022803 Text en © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Patient-Centred Medicine
Shiyanbola, Olayinka O
Unni, Elizabeth
Huang, Yen-Ming
Lanier, Cameron
Using the extended self-regulatory model to characterise diabetes medication adherence: a cross-sectional study
title Using the extended self-regulatory model to characterise diabetes medication adherence: a cross-sectional study
title_full Using the extended self-regulatory model to characterise diabetes medication adherence: a cross-sectional study
title_fullStr Using the extended self-regulatory model to characterise diabetes medication adherence: a cross-sectional study
title_full_unstemmed Using the extended self-regulatory model to characterise diabetes medication adherence: a cross-sectional study
title_short Using the extended self-regulatory model to characterise diabetes medication adherence: a cross-sectional study
title_sort using the extended self-regulatory model to characterise diabetes medication adherence: a cross-sectional study
topic Patient-Centred Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6254403/
https://www.ncbi.nlm.nih.gov/pubmed/30478112
http://dx.doi.org/10.1136/bmjopen-2018-022803
work_keys_str_mv AT shiyanbolaolayinkao usingtheextendedselfregulatorymodeltocharacterisediabetesmedicationadherenceacrosssectionalstudy
AT unnielizabeth usingtheextendedselfregulatorymodeltocharacterisediabetesmedicationadherenceacrosssectionalstudy
AT huangyenming usingtheextendedselfregulatorymodeltocharacterisediabetesmedicationadherenceacrosssectionalstudy
AT laniercameron usingtheextendedselfregulatorymodeltocharacterisediabetesmedicationadherenceacrosssectionalstudy