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Psychometric properties of medication adherence instruments in cardiovascular diseases and type 2 diabetes mellitus:

Henrique Ceretta Oliveira1, Daisuke Hayashi Neto2, Samantha Dalbosco Lins Carvalho2

  • 1School of Nursing, University of Campinas (Unicamp), 126 Tessália Vieira de Camargo Street, Campinas, São Paulo, CEP: 13083-887, Brazil. hceretta@unicamp.br.

Systematic Reviews
|July 9, 2021
PubMed

Insights

This systematic review assesses patient-reported outcome measures for medication adherence in cardiovascular diseases and type 2 diabetes. It aims to identify instruments with strong psychometric evidence for accurate clinical use.

Area of Science:

  • Pharmacology
  • Clinical Medicine
  • Psychometrics

Background:

  • Pharmacological treatments for cardiovascular diseases (CVD) and type 2 diabetes mellitus (T2DM) reduce cardiovascular event risk.
  • Patient non-adherence to prescribed treatments is a significant challenge in managing these chronic conditions.
  • Accurate assessment of medication adherence is crucial for effective patient management.

Purpose of the Study:

  • To critically assess, compare, and synthesize the measurement properties of patient-reported outcome measures (PROMs) for medication adherence.
  • To identify PROMs with robust psychometric evidence for use in patients with CVD and/or T2DM.
  • To support clinical practice and research by guiding the selection of accurate adherence assessment tools.

Main Methods:

  • Systematic review protocol adhering to PRISMA-P and COSMIN guidelines.
  • Comprehensive literature search across multiple databases including Web of Science, SCOPUS, PubMed, CINAHL, EMBASE, LILACS, PsycINFO, and ProQuest.
  • Critical appraisal of the psychometric properties of selected self-reported medication adherence instruments.

Main Results:

  • The review will provide a detailed assessment of the measurement properties of various self-reported medication adherence instruments.
  • Comparative analysis of the quality of evidence for different adherence measures.
  • Identification of instruments with superior psychometric properties for specific patient populations.

Conclusions:

  • This systematic review will offer a comprehensive evaluation of medication adherence measurement tools for patients with CVD and T2DM.
  • Findings will guide healthcare professionals in selecting validated instruments for accurate adherence assessment.
  • The study aims to enhance clinical decision-making and improve patient outcomes through better adherence monitoring.
Abstract

Keywords:
Cardiovascular diseasesDiabetes mellitusMedication adherencePatient reported outcome measuresPsychometricsReproducibility of resultstype 2

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