Evidence map›Paper›PMID 37424692›Full record

ReviewThe Lancet regional health. Western Pacific2023

The development of smart eldercare in China.

Honglin Chen, Aaron Hagedorn, Ning An

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in The Lancet regional health. Western Pacific, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
17.4field-weighted citation impact, top 1% of its field
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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

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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

3 authors at 3 institutions in 3 countries.

Honglin ChenGerontological Social Work, Faculty of Social Sciences and Business Studies, University of Eastern Finland, Finland.
Aaron HagedornSchool of Social Work, University of Texas at Arlington, USA.
Ning AnThe Gerontechnology Lab, Intelligent Interconnected Systems Laboratory of Anhui Province, School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China.
Hefei University of Technology · CNThe University of Texas at Arlington · USUniversity of Eastern Finland · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Many countries have tried to establish an optimal model for managing population aging that can be replicated and promoted. With the increasing societal task of delivering care to older adults with chronic conditions, China has started to harness the power of digital technologies to help address the growing demands for eldercare. China is exploring a unique "Smart Eldercare" model to respond to the social service needs of older adults. Methods: Using a Delphi method, this study highlights a hierachy of approaches and findings from a cognitive support tool for those with mild cognitive impairment. Findings: From the central committee to local governments, the Chinese government has developed policies aimed at supporting the development of the Smart Eldercare service industry. Interpretation: This viewpoint article sheds light on this development in health care services based on an onsite research investigation, which can potentially impact the Western Pacific region and beyond in years to come. Funding: The Non-profit Central Research Institute Fund of the Chinese Academy of Medical Sciences, Grant No. 2021-JKCS-026.

Indexed as

ChinaHealthy ageingSmart eldercare

Identifiers

PMID37424692
PMCPMC10326707
OpenAlexW4288085163

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.