Evidence map›Paper›PMID 38584313›Full record

ArticleGeriatrics & gerontology international2024

Revolutionizing elderly care: Building a healthier aging society through innovative long-term care systems and assessing the long-term care acceptance model.

Chaturapron Chokphukhiao, Wonn Shweyi Thet Tun, Sakaowrat Masa, Somporn Chaiayuth, Jugsun Loeiyood, Cholatip Pongskul, Rina Patramanon

Abstract read
In one paragraph

Article in Geriatrics & gerontology international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

7 authors.

Chaturapron ChokphukhiaoInformation Technology International Program, College of Computing, Khon Kaen University, Khon Kaen, Thailand.
Wonn Shweyi Thet TunDepartment of Chemistry, Faculty of Science, Khon Kaen University, Khon Kaen, Thailand.
Sakaowrat MasaKhon Kaen University Phenom Center, Khon Kaen University, Khon Kaen, Thailand.
Somporn ChaiayuthDivision of Public Health and Environment Service, Office of Public Health and Environment, Khon Kaen Municipality, Khon Kaen, Thailand.
Jugsun LoeiyoodDivision of Information and Communication Technology, Khon Kaen Provincial Health Office, Khon Kaen, Thailand.
Cholatip PongskulDepartment of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Rina PatramanonKhon Kaen University Phenom Center, Khon Kaen University, Khon Kaen, Thailand.ORCID https://orcid.org/0000-0002-9325-2527

Funding

Khon Kaen University Research Integration Program (2019)Khon Kaen University Research Program I62-01-06NSRF through the Program Management Unit for Human Resources & Institutional Development, Research and Innovation B01F650006
6 · The paper itself

Abstract

aimWith a growing elderly population, the demand for caregivers is increasing in Khon Kaen, Thailand, with approximately 17 000 elderly residents. This growing number of older people and a shortage of caregivers could overload the healthcare system.

methodsThe present study involved 129 healthcare volunteers (caregivers for questionnaires study) and the collection of health data from 290 elderly residents from northeastern Thailand. After training, the volunteers assessed its usefulness through questionnaires. Tool reliability and statistical hypotheses were tested using stratified regression analysis (hierarchical regression) and multiple regression.

resultsThe relative mean scores of perceived usefulness, perceived ease of use, attitude toward usage and behavioral intention to use technology were 4.51, 4.29, 4.44 and 4.41, respectively. In addition, perceived usefulness and user attitudes positively affected volunteers' willingness to use the system.

conclusionThe study was developed from the awareness of enhancing community quality and ecosystem through a long-term care system application. Analyzing external factors can enhance technology's future effectiveness. Geriatr Gerontol Int 2024; 24: 477-485.

Indexed as

Long-Term CareAgedAged, 80 and overCaregiversFemaleHealth Services for the AgedHealthy AgingHumansMaleMiddle AgedSurveys and QuestionnairesThailandelderly peoplelong‐term care (LTC) systemtechnology acceptance model

Identifiers

PMID38584313
PMCPMC11503550

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.