Evidence map›Paper›PMID 40155867›Full record

ArticleBMC geriatrics2025

Development and usability testing of an integrated geriatric care model (SMART system) to promote integrated home-based geriatric care.

Rongrong Guo, Huan Fan, Shuqin Xiao, Ziling Zheng, Fangyu Yang, Yanyan Xiao, Xue Yang, Ying Wu

Abstract read
In one paragraph

Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
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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

8 authors.

Rongrong Guo *School of Nursing, Feng-Tai District, Capital Medical University, 10 You-an-Men Wai Xi-Tou-Tiao, Beijing, 100069, China.
Huan Fan *School of Nursing, Feng-Tai District, Capital Medical University, 10 You-an-Men Wai Xi-Tou-Tiao, Beijing, 100069, China.
Shuqin Xiao *School of Nursing, Feng-Tai District, Capital Medical University, 10 You-an-Men Wai Xi-Tou-Tiao, Beijing, 100069, China.
Ziling ZhengPeking University First Hospital, Beijing, 100034, China.
Fangyu YangSchool of Nursing, Feng-Tai District, Capital Medical University, 10 You-an-Men Wai Xi-Tou-Tiao, Beijing, 100069, China.
Yanyan XiaoPeking University First Hospital, Beijing, 100034, China.
Xue YangDepartment of Nursing, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine,Chinese Academy of Medical Sciences, Beijing, 100730, China.
Ying WuSchool of Nursing, Feng-Tai District, Capital Medical University, 10 You-an-Men Wai Xi-Tou-Tiao, Beijing, 100069, China. helenywu@vip.163.com.

Funding

Chinese Institutes for Medical Research, Beijing CX23YZ02Key Program of the National Natural Science Foundation of China 72034005
6 · The paper itself

Abstract

backgroundAlthough integrated care has been proposed as a promising approach to the challenges of fragmented geriatric care, a universally accepted implementation framework for integrated care for older adults living at home remains elusive. This study aimed to address the gap by developing an integrated geriatric care model (SMART system) using a knowledge-based clinical decision support system (CDSS) architecture inspired by the principle of neural reflex and evaluate the usability of the SMART system.

methodsThe development of our SMART system was guided by the knowledge-based Clinical Decision Support System architecture and the principle of neural reflexes, which included 5 phases: (1) functional design; (2) architecture and database design; (3) security measures design; (4) user interface and visualization design; (5) prototypes development and iteratively testing. Subsequently, a cross-sectional study was conducted from December 2020 to February 2021, collecting older Chinese adults aged 60 years old and above consecutively to evaluate their usability perception of the Care Receiver App within the SMART system via the Health Information Technology Usability Evaluation Scale (Health-ITUES) version designed for older adults.

resultsThe SMART system consisted of a Care Receiver App, a Professional Care Provider App, and a Cloud Platform. According to the assessment results and daily monitoring data, the SMART system can diagnose care problems and tailor interventions and implementation approaches to address the multifaceted care needs of older individuals. The personalized interventions and implementation approaches generated by the SMART system, after being reviewed and adjusted by professional geriatric nurses, will be sent to the corresponding care providers to facilitate coordinated care services. A total of 110 eligible older individuals were included in the usability testing. The Care Receiver App was perceived as useful and acceptable among older individuals with the mean scores for each item of the Health-ITUES version designed for older adults exceeding 3.00.

conclusionsThis study successfully developed an integrated geriatric care model using a knowledge-based CDSS architecture inspired by the principle of neural reflex. Furthermore, the study indicated acceptable usability perception of the SMART system among older population.

trial registrationThe study was registered in the Chinese Clinical Trial Registry (Registration number: ChiCTR-IOR-17010368) on 12/01/2017.

Indexed as

Decision Support Systems, ClinicalDelivery of Health Care, IntegratedGeriatricsHome Care ServicesAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedClinical Decision Support SystemHome-basedInformation and communication technologyIntegrated careNeural reflex

Identifiers

PMID40155867
PMCPMC11951631

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LicenceCC BY-NC-ND
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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.