Evidence map›Paper›PMID 40873955›Full record

ArticleJournal of multidisciplinary healthcare2025

The Impact of Intelligent Medical Systems Combined with Interdisciplinary Care Teams on Home-Based Elderly Population's Quality of Life.

Chong Song, Yongpan Huang, Wei Zhan, Zhuhui Liu, Shiqing Yao

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 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. 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.

Chong Song *School of Medicine, Changsha Social Work College, Changsha, Hunan, 410004, People's Republic of China.ORCID 0009-0002-9887-1092
Yongpan Huang *School of Medicine, Changsha Social Work College, Changsha, Hunan, 410004, People's Republic of China.
Wei Zhan *Xiangya School of Nursing, Central South University, Changsha, Hunan, 410013, People's Republic of China.
Zhuhui LiuSchool of Medicine, Changsha Social Work College, Changsha, Hunan, 410004, People's Republic of China.
Shiqing YaoDepartment of Anus and Bowels, Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, 421001, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study examines the efficacy of an intelligent medical-elderly care integration model for improving quality of life among homebound seniors in Yuhua District, Changsha, China. Methods: A randomized controlled trial was conducted from May 2022 to April 2024 with 100 participants allocated equally to control and intervention groups through convenience sampling. While both groups received standard care, the intervention group additionally received intelligent care services. Outcomes were assessed using Activities of Daily Living (ADL), Physical Activity Performance (PAP), and Social-Cognitive Adaptation Assessment (SCAA) scales. Results: The intervention group demonstrated statistically significant improvements across all measures (P<0.05), with particularly notable outcomes in disability level transitions: moderate disability cases increased from 26% to 70%, while severe cases decreased from 58% to 14% (P<0.05). Comparative analysis revealed the intervention group significantly outperformed controls in PAP and SCAA scores (P<0.05). Conclusion: The intelligent care model proves effective in enhancing functional capacity and reducing care dependency among homebound elderly, offering valuable insights for elderly care service optimization. Further research should explore long-term sustainability and cost-effectiveness.

Indexed as

activities of daily livinghomebound elderlyintelligent medical and elderly care team service modelquality of life

Identifiers

PMID40873955
PMCPMC12379985

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.