Evidence map›Paper›PMID 35936531›Full record

ReviewIranian journal of public health2022

The Application and Prospect of Mobile Health (mHealth) in Health Service for Older People Living Alone in Community: A Narrative Review.

Dehui Kong, Jingjing Fu, Yan Hong, Siqi Liu, Yu Luo

Open access · goldAbstract readReview
In one paragraph

Review in Iranian journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. The Progress of Smart Elderly Care Research: A Scientometric Analysis Based on CNKI and WOS.International journal of environmental research and public health · 2023
    Review
  7. Article
  8. Review
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

5 authors at 1 institution in 1 country.

Dehui KongSchool of Nursing, Army Medical University (Third Military Medical University), Chongqing, China.
Jingjing FuSchool of Nursing, Army Medical University (Third Military Medical University), Chongqing, China.
Yan HongSchool of Nursing, Army Medical University (Third Military Medical University), Chongqing, China.
Siqi LiuSchool of Nursing, Army Medical University (Third Military Medical University), Chongqing, China.
Yu LuoSchool of Nursing, Army Medical University (Third Military Medical University), Chongqing, China.
Army Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a result of improvements in life expectancy and reductions in fertility rate, the increasing world population ageing brings huge challenges for both developed and developing countries. Such factors as fewer children, migration of children and widowhood further increase the number of older people living alone. Older adults prefer age in place, which means care in the home. As the main place older people live in, care in community absolutely needs more attention. Optimizing health services for the elderly living in community is of positive significance to health promotion and happiness enhancement. But the traditional health service for the elderly has drawbacks of poor timeliness and high labor cost. The rapid development of modern science and technology make it possible to apply mHealth in health service for the elderly. At present, mHealth is relatively mature in the communities of developed countries. This article presents the application of mHealth in many developed countries, as references for developing countries.

Indexed as

CommunityLive alonemHealthOlder people

Identifiers

PMID35936531
PMCPMC9288406
OpenAlexW4224251597

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.