Analyzing the effects of barriers to and facilitators of medication adherence among patients with cardiometabolic diseases: a structural equation modeling approach.
BMC Health Serv Res
; 22(1): 588, 2022 May 02.
Article
em En
| MEDLINE
| ID: mdl-35501793
ABSTRACT
BACKGROUND:
Based on the theoretical model of medication adherence (WHO, 2003), the aims of the study were (1) to develop and test a theory-based multidimensional model for the predictive power of barriers to and facilitators of medication adherence and (2) to identify the mediating effects of barriers to medication adherence on drug-related patient outcomes (barrier "MedAd- " forget; facilitator "MedAd + " regular intake).METHODS:
Within a cross-sectional study entitled "Increasing medication adherence to improve patient safety in cardiological rehabilitation (PaSiMed)", the model was evaluated in structural analytical terms based on data collected online of N = 225 patients with cardiometabolic diseases. The revised "Freiburg questionnaire on medication adherence (FF-MedAd-R)" was used to measure the latent constructs (e.g., facilitator communication; barrier reservations)."RESULTS:
The structural equation model proved to exhibit an appropriate data fit (RMSEA .05; CFI .92). For all first-order facilitators of medication adherence, a high proportion of variance (62-94%) could be explained by the second-order factor "Physician-patient relationship (PPR)". All paths from "PPR" to the constructs depicting barriers to medication adherence showed significant negative effects. Facilitators ("MedAd + ") and barriers ("MedAd-") accounted for 20% and 12% of the variance, respectively, in global items of medication adherence. Whereas "Carelessness" showed a full mediation for "MedAd-", ''Reservations'' showed a partial mediation for "MedAd + ".CONCLUSIONS:
"PPR" is an important predictor of patient medication adherence. The results underline the importance of a trustful physician-patient relationship in reducing barriers and enhancing medication adherence.Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Doenças Cardiovasculares
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Adesão à Medicação
Tipo de estudo:
Observational_studies
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Prevalence_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article