Evidence map›Paper›PMID 39576809›Full record

ArticlePloS one2024

Effects of pharmacist-led home visit services and factors influencing medication adherence improvement.

Hwayoung Ahn, Bo-Kyung Byun, Tae-Hoon Lee, Dong-Won Kang, Sun-Kyeong Park

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hwayoung AhnCollege of Pharmacy, The Catholic University of Korea, Bucheon, Gyeonggi-do, South Korea.
Bo-Kyung ByunCollege of Pharmacy, The Catholic University of Korea, Bucheon, Gyeonggi-do, South Korea.ORCID 0009-0007-9941-6725
Tae-Hoon LeeCollege of Pharmacy, The Catholic University of Korea, Bucheon, Gyeonggi-do, South Korea.
Dong-Won KangDivision of Outcomes Research and Quality, Department of Surgery, Penn State College of Medicine, Hershey, Pennsylvania, United States of America.ORCID 0000-0002-7088-867X
Sun-Kyeong ParkCollege of Pharmacy, The Catholic University of Korea, Bucheon, Gyeonggi-do, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of medicines is crucial in treatment, but nonadherence poses an important challenge, particularly when managing polypharmacy and long-term conditions. Pharmacist-led home visit services offer a promising solution to enhance the outcomes associated with medication use. However, the effects and the factors contributing to this improvement remain unclear.

objectiveThis study assessed the effects of pharmacist-led home visit services on medication adherence and general medication knowledge. Additionally, we analyzed the factors associated with improved medication adherence.

methodsFace-to-face, pharmacist-led home visit services were conducted via opportunistic sampling in community settings. Data were collected between 2017 and 2019. The program included participants aged ≥65 years or taking ten or more medications, in need of care, and who were willing to participate. We estimated the effects of the program by improved medication adherence and general knowledge about taking medications. Medication adherence was measured using the Morisky Scale. We used McNemar's test to evaluate the statistical differences in outcomes before and after consultation. To identify factors influencing improvements in medication adherence, odds ratios (OR) with 95% confidence intervals (CI) were calculated using multivariate logistic regression with adjustments for covariates.

resultsAmong the 1,194 participants in the program, 874 were included in the analysis. Pharmacist-led home visit services improved both medication adherence (from 69.2% to 85.8%) and mean scores for general knowledge of taking medications (from 65.3% to 89.5%). Participants aged ≥70 years showed less improvement in overall adherence than those aged <70 years (OR = 0.51; 95% CI = 0.317-0.817). The program was significantly more effective at improving adherence for participants with higher level of medication knowledge (OR = 2.93; 95% CI = 1.78-4.81) compared to those with lower level of knowledge.

conclusionThese quantitative findings highlight the importance of pharmacist-led interventions and suggest a framework for future programs about medication management.

Indexed as

Drug MonitoringHouse CallsPharmacistsAgedAged, 80 and overCommunity Pharmacy ServicesFemaleHumansMalePolypharmacy

Identifiers

PMID39576809
PMCPMC11584129

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.