Evidence map›Paper›PMID 39156185›Full record

ArticleFarmaceuticos comunitarios2023

[Analysis of medication adherence using electronic prescriptions in a community pharmacy: 'REACT' study].

Amparo Bonilla Guijarro, Maria Bailén, Asunción Hernando

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Article in Farmaceuticos comunitarios, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Amparo Bonilla GuijarroDoctora en Biomedicina y Ciencias de la Salud. Farmacia Comunitaria Amparo Bonilla, Madrid. España.
Maria BailénDoctora en Farmacia. Universidad Autónoma de Madrid Universidad Autónoma de Madrid España.
Asunción HernandoDoctora en Medicina. Instituto de Investigación Hospital Universitario 12 de Octubre (I+12), CIBERINFEC. Instituto de Investigación Hospital Universitario 12 de Octubre España.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients` lack of adherence to pharmacological treatments has a major impact, both clinical and economical. While different methods are used to measure adherence, retrospective studies are being used more frequently as they are more objective, less prone to bias by patient perception and interfere less with patients' lives. The electronic prescription system provides the community pharmacy with a useful tool to conduct this research. Objective: To measure the adherence of patients to their chronic medication considering different therapeutic drug groups and their mental health using electronic prescription information available in a database. Methods: An observational, ambispective and logitudinal study was developed for 300 patients. Adherence was assessed using Proportion of Days Covered (PDC) per patient and per treatment and the Morisky Green Levine test. Data on patients' dispensed medication for the last 12 months was obtained through the electronic prescription system. Data on patient mental health was gathered using the PHQ-2 screen for depression. Results: A total of 300 patients were recruited, but only 290 were included in the analysis. 25.5%; [95%CI: 20.6:30.9] were classified as polymedicated. The median PDC per patient was 0.90 (IQR: 0.73 - 1). According to the Morisky Green Levine questionnaire, 57.9% of the patients [95%CI 52.0:63.6] adhered to their treatments. Concurrence between the Morisky Green Levine test and the PDC had a kappa k=0.086. Conclusion: The electronic prescription turned out to be a useful tool to gain insight into adherence to long-term treatments measured in terms of the PDC.

Indexed as

community pharmacyelectronic prescriptionMedication adherenceProportion of Days Covered

Identifiers

PMID39156185
PMCPMC11326682

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