Evidence map›Paper›PMID 41023886›Full record

ArticleBMC primary care2025

Profiles of home-based medical care service demand among older patients with different characteristics: a cluster analysis.

Hang Li, Qiying He, Suzhen Liu

Abstract read
In one paragraph

Article in BMC primary care, 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
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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.

Hang LiDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University/ West China School of Nursing, Sichuan University, Chengdu, 610041, China.ORCID 0000-0001-5668-4526
Qiying HeDepartment of Urology, Institute of Urology, West China Hospital, Sichuan University/ West China School of Nursing, Sichuan University, Chengdu, 610041, China.
Suzhen LiuWest China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, 610041, China. yly90777@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a large demand gap for home-based medical services. Understanding the characteristics of people in need of services can help provide relevant services more effectively and accurately.

objectiveTo understand the health status categories and characteristics of home-based medical services for older patients with chronic diseases.

methodsA cross-sectional research method was used to investigate the self-reported service needs and health status of 371 older patients with chronic diseases from four areas: environment, psychosocial, physical, and health-related behaviors. K-means cluster analysis was used to classify the population, and variance analysis was used to examine the basic characteristics of different categories of patients.

resultsOnly 191 patients self-reported needing home-based medical care and were divided into three clusters: outstanding demand for psychological services, comprehensive health services in demand, and continuous optimization of health levels. There were statistically significant differences in the education level, economic status, health status, living conditions, and cohabitation status of the three clusters of patients (P < 0.05).

conclusionThe home-based medical service needs of community-dwelling older adults with chronic diseases may vary based on education level, economic status, and health status. How to provide appropriate services according to educational background, economic status and health status is a service topic that needs to be studied in the future.

Indexed as

Health Services Needs and DemandHome Care ServicesAgedAged, 80 and overChronic DiseaseCluster AnalysisCross-Sectional StudiesEducational StatusFemaleHealth StatusHumansMaleMiddle AgedSocioeconomic FactorsCharacteristicsChronic diseasesCluster analysisDemandHome-based medical services

Identifiers

PMID41023886
PMCPMC12482467

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LicenceCC BY-NC-ND
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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.