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A Scoping Review of Methods Used to Assess Medication Adherence in Patients with Chronic Conditions.
Konstantinou, Pinelopi; Kasinopoulos, Orestis; Karashiali, Christiana; Georgiou, Geοrgios; Panayides, Andreas; Papageorgiou, Alexia; Wozniak, Greta; Kassianos, Angelos P; Karekla, Maria.
Afiliación
  • Konstantinou P; Department of Psychology, University of Cyprus, Cyprus.
  • Kasinopoulos O; Department of Psychology, University of Cyprus, Cyprus.
  • Karashiali C; Department of Psychology, University of Cyprus, Cyprus.
  • Georgiou G; Department of Social and Behavioral Sciences, European University Cyprus, Cyprus.
  • Panayides A; 3AE Health LTD, Nicosia, Cyprus.
  • Papageorgiou A; Department of Computer Science, University of Cyprus, Cyprus.
  • Wozniak G; Medical School, University of Nicosia, Cyprus.
  • Kassianos AP; Department of Psychology, University of Cyprus, Cyprus.
  • Karekla M; Department of Psychology, University of Cyprus, Cyprus.
Ann Behav Med ; 56(12): 1201-1217, 2022 11 18.
Article en En | MEDLINE | ID: mdl-34570875
BACKGROUND: Medication nonadherence of patients with chronic conditions is a complex phenomenon contributing to increased economic burden and decreased quality of life. Intervention development relies on accurately assessing adherence but no "gold standard" method currently exists. PURPOSE: The present scoping review aimed to: (a) review and describe current methods of assessing medication adherence (MA) in patients with chronic conditions with the highest nonadherence rates (asthma, cancer, diabetes, epilepsy, HIV/AIDS, hypertension), (b) outline and compare the evidence on the quality indicators between assessment methods (e.g., sensitivity), and (c) provide evidence-based recommendations. METHODS: PubMed, PsycINFO and Scopus databases were screened, resulting in 62,592 studies of which 71 met criteria and were included. RESULTS: Twenty-seven self-report and 10 nonself-report measures were identified. The Medication Adherence Report Scale (MARS-5) was found to be the most accurate self-report, whereas electronic monitoring devices such as Medication Event Monitoring System (MEMS) corresponded to the most accurate nonself-report. Higher MA rates were reported when assessed using self-reports compared to nonself-reports, except from pill counts. CONCLUSIONS: Professionals are advised to use a combination of self-report (like MARS-5) and nonself-report measures (like MEMS) as these were found to be the most accurate and reliable measures. This is the first review examining self and nonself-report methods for MA, across chronic conditions with the highest nonadherence rates and provides evidence-based recommendations. It highlights that MA assessment methods are understudied in certain conditions, like epilepsy. Before selecting a MA measure, professionals are advised to inspect its quality indicators. Feasibility of measures should be explored in future studies as there is presently a lack of evidence.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Calidad de Vida / Epilepsia Tipo de estudio: Prognostic_studies / Systematic_reviews Aspecto: Patient_preference Límite: Humans Idioma: En Revista: Ann Behav Med Asunto de la revista: CIENCIAS DO COMPORTAMENTO Año: 2022 Tipo del documento: Article País de afiliación: Chipre Pais de publicación: Reino Unido
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Calidad de Vida / Epilepsia Tipo de estudio: Prognostic_studies / Systematic_reviews Aspecto: Patient_preference Límite: Humans Idioma: En Revista: Ann Behav Med Asunto de la revista: CIENCIAS DO COMPORTAMENTO Año: 2022 Tipo del documento: Article País de afiliación: Chipre Pais de publicación: Reino Unido