Evidence map›Paper›PMID 40125345›Full record

ArticleJournal of patient experience2025

Experience of the Burden of Using Multiple Medicines and the Associated Impact on Health-Related Quality of Life.

Aastha Gurung, Edward Ogden, Won Sun Chen

Abstract read
In one paragraph

Article in Journal of patient experience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Aastha GurungSchool of Health Sciences, Swinburne University of Technology, Hawthorne, Victoria, Australia.ORCID https://orcid.org/0009-0009-2804-9694
Edward OgdenSchool of Health Sciences, Swinburne University of Technology, Hawthorne, Victoria, Australia.
Won Sun ChenCurtin Medical School, Curtin University, Bentley, Western Australia, Australia.ORCID https://orcid.org/0000-0001-9077-3530

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Managing multiple medications can be challenging for many patients and negatively affect their health-related quality of life (HRQoL). This study examined the key factors that predict medication burden and HRQoL separately. The secondary aim was to investigate whether overall experience of medication burden mediates the relationship between the number of medications taken and HRQoL. A cross-sectional study was conducted with 348 participants. The average age of these participants was 31 years (SD ± 11.3 years). The average number of medications used was 3.2 (SD ± 1.6). The majority of the study participants experienced moderate (39.0%) to high (45.0%) levels of medication burden. Limited autonomy in adjusting their regimen and concerns about their medications were identified as major contributors to this burden. Hierarchical linear regression analysis indicated that overall experience of medication burden, self-rated health, and a diagnosis of diabetes mellitus significantly predicted medication burden. Similarly, self-rated health, dosing frequency, being female, and assistance with medicines were significant predictors of poor HRQoL. Mediation analysis revealed that overall experience of medication burden partially mediated the association between number of medicines used and HRQoL. These findings highlight the importance of addressing medication burden when developing interventions to avoid jeopardizing patients' HRQoL. Healthcare professionals should prioritize understanding the experiences of nonelderly patients with their medications and personalize treatment plans accordingly.

Indexed as

health-related quality of lifemedication burdenmedicine-related burdenquality of life

Identifiers

PMID40125345
PMCPMC11930472

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Registered trials

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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.