Evidence map›Paper›PMID 36517739›Full record

ArticleBMC geriatrics2022

The willingness and influencing factors to choose smart senior care among old adults in China.

Qiyuan Huang, Ying Li, Xiang Wu, Song Ge, Zhe Qu, Aming Wang, Xianping Tang

Abstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 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.

Qiyuan Huang *School of Nursing, Xuzhou Medical University, No. 209 Tongshan Road, Xuzhou, 221004, Jiangsu Province, China.
Ying Li *Department of Emergency, Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Xiang WuSchool of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Song GeDepartment of Natural Sciences, University of Houston-Downtown, Houston, TX, USA.
Zhe QuSchool of Nursing, Xuzhou Medical University, No. 209 Tongshan Road, Xuzhou, 221004, Jiangsu Province, China.
Aming WangSchool of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Xianping TangSchool of Nursing, Xuzhou Medical University, No. 209 Tongshan Road, Xuzhou, 221004, Jiangsu Province, China. 100002010077@xzhmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPopulation aging has become an escalating issue in China resulting in increasing healthcare demand. Smart senior care has the potential to help older adults live independently and relieve the pressure of healthcare including home-based care. This study aimed to explore Chinese older adults' preferred access models and service content of smart senior care and factors affecting their willingness to choose smart senior care.

methodsThis was a cross-sectional study. A total of 760 community-dwelling older adults from Xuzhou, China were included in this study. Their demographics, family support, health status, smart senior care use, and willingness to choose smart senior care were collected. The Chi-square test was used for single factor analysis of each variable. The statistically significant variables were included in the logistics regression model to analyze factors influencing older adults' willingness to choose smart senior care. The chi-square goodness of fit test was used to analyze the preferred content and access models of smart senior care; the Bonferroni method was used to correct the results.

resultsThe finding indicated that participants' age, number of children, frequency of children visiting parents, adequate senior care, self-reported health, chronic diseases, smartphone use, and attitude toward smart senior care were significantly associated with their willingness to choose the smart senior care (p < 0.05). For smart senior care access models, participants preferred the remote monitoring model, telephone call model, and the community site model over the health smart home model and the smart application platform model. There was no statistical difference among these three preferred access models (p' > 0.005). Regarding service content, participants desired medical care service the most (p' < 0.005).

conclusionsChinese older adults' willingness to choose smart senior care is affected by personal, family, health, and other factors. To develop China's senior care, we should consider their demand and preference for smart senior care. It is important to enrich the content of smart senior care, especially on medical care services, and maintain the dynamic balance between supply and demand using a diverse supply approach.

Indexed as

Health StatusHome Care ServicesAgedChinaCross-Sectional StudiesHumansSurveys and QuestionnairesChina; smart deviceOlder adultsSmart senior care

Identifiers

PMID36517739
PMCPMC9750727

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.