Evidence map›Paper›PMID 40924672›Full record

SynthesisPloS one2025

Medication multiple experiences of elderly patient with multiple chronic condition: A qualitative meta-synthesis.

Guo Xin, Wang Yuanxing, Wu Jiaming, Hu Xue

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in PloS one, 2025. 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

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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Guo XinSchool of Nursing, Yunnan University of Chinese Medicine, Kunming City, Yunnan Province, China.
Wang YuanxingFaculty of Sociology, Lomonosov Moscow State University, Moscow city, Russia.
Wu JiamingSchool of Nursing, Yunnan University of Chinese Medicine, Kunming City, Yunnan Province, China.
Hu XueNeonatology, Yan'an Hospital Affiliated to Kunming Medical University, Kunming City, Yunnan Province, China.ORCID 0009-0009-8827-6901

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo determine the experience of medication multiple in elderly patients with multiple chronic condition by systematically reviewing, retrieving, and synthesizing data from qualitative studies.

methodsNine databases were systematically searched for relevant contributions from the time of construction until October 30, 2024. All qualitative studies in English and Chinese exploring the real-life experiences, feelings, etc, of medication multiple in elderly patients with multiple chronic condition were included. The Enhancing Transparency in Reporting the Synthesis of Qualitative Research (ENTREQ).Two independent reviewers selected the studies and assessed the quality of each study, and the included studies were inductively analysed and interpreted then reported as a meta-synthesis.

resultsA total of 10 studies revealed 13 sub-themes and 4 descriptive themes:Difficulties and challenges in Polypharmacy, Multi-party support facilitates Polypharmacy in elderly patients with multiple chronic condition,Positive attitude towards taking medication.

conclusionThe health outcomes of elderly patients with coexisting chronic diseases can be significantly impacted by polypharmacy difficulties and challenges as well as lower medication adherence.Increasing medicine knowledge among older patients with concomitant chronic diseases, bolstering medication-taking beliefs, and motivating family members to support the patient are all ways to improve medication adherence. [REGISTRATION: PROSPERO ID: CRD42024628547].

Indexed as

Medication AdherenceMultiple Chronic ConditionsPolypharmacyAgedAged, 80 and overChronic DiseaseHumansQualitative Research

Identifiers

PMID40924672
PMCPMC12419632

What OpenQuestion holds

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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.