Evidence map›Paper›PMID 42130178›Full record

ArticleAnnals of geriatric medicine and research2026

Healthcare Providers' perspectives on the adoption of Smart Care Technologies in Korean Long-Term Care Hospitals.

Seok Gyu Kim, Soong-Nang Jang, Hyuk Ga

Abstract read
In one paragraph

Article in Annals of geriatric medicine and research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Seok Gyu KimInstitute for Community Care and Health Equity, Chung-Ang University, Seoul, Republic of Korea.
Soong-Nang JangRed Cross College of Nursing, Chung-Ang University, Seoul, Republic of Korea.
Hyuk GaInstitute of Geriatric Medicine, Incheon Eun-Hye Convalescent Hospital, Incheon, Republic of Korea. gahyuk@gmail.com.

Funding

Korea Health Industry Development InstituteKorean ARPA-H ProjectMinistry of Health and Welfare RS-2024-00512374
6 · The paper itself

Abstract

backgroundMany smart care technologies have been developed recently, but it remains unclear which of them are necessary for use in long-term care hospitals (LTCHs).

methodsA total of 114 physicians, registered nurses (RNs), nurse assistants (NAs), and care assistants (CAs) from eight LTCHs completed a survey assessing perceived needs for 10 smart care technologies using 5-point Likert scales. One-sample t-tests, one-way ANOVA with Scheffé post-hoc tests, Friedman tests, and simple linear regression were used to examine differences by occupation and hospital characteristics. Additionally, focus group interviews with 10 participants were done.

resultsMean perceived need for smart care technologies was 3.99, with the highest ratings for smart mattresses (4.14), all-in-one patient transfer robots (4.09), and smart monitoring systems (4.06). Regarding the most preferred by occupation, physicians chose smart monitoring systems (4.19) and leg-care devices (4.19), RNs chose smart mattresses (4.11), NAs chose radar-based fall detection devices (4.22), and CAs chose all-in-one patient transport robots (4.36). Perceived need for smart care technologies was higher in LTCHs with lower monthly family fees and in those without a rehabilitation service, explaining 42.8% and 10.8% of the variability, respectively.

conclusionSmart care technologies were seen as necessary in LTCHs, but the types of technologies considered most important differed by occupational role and hospital characteristics.

Indexed as

Attitude of Health PersonnelHealth PersonnelLong-Term CareAdultDigital HealthFemaleFocus GroupsHospitalsHumansMaleMiddle AgedRepublic of KoreaSurveys and QuestionnairesDigital healthHealth PersonnelHospitalsLong-term careRepublic of KoreaWorkload

Identifiers

PMID42130178
PMCPMC13327828

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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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.