Evidence map›Paper›PMID 40547432›Full record

ArticleDigital health

Experience of older adults using smart devices and mHealth apps in nursing homes in Chinese megacities: A descriptive qualitative study.

Jie Ding, Yifei Ren, Jiajia Xu, Qingqing Hu, Ting Chu

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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.

Jie DingNursing School, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China.
Yifei RenNursing School, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China.
Jiajia XuNursing School, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China.
Qingqing HuNursing School, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China.
Ting ChuNursing School, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, People's Republic of China.ORCID https://orcid.org/0000-0001-6050-0486

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to explore the experiences of older adults in nursing homes located in megacities of China regarding the use of digital health tools. By examining their perceptions, challenges, and benefits, the study seeks to provide insights into how digital health technologies can be effectively integrated into elderly care in urban settings, ultimately contributing to improved health outcomes and quality of life for this population. Methods: This study followed the Consolidated Criteria for Reporting Qualitative Research guidelines. The current study utilized descriptive qualitative research methodology, adopting the technology acceptance model as the theoretical framework. Purposive sampling was used to recruit older adults from a number of care facilities in Hangzhou. Data were collected through semi-structured interviews and analyzed using directed content analysis. Results: A total of 12 older adults in Hangzhou were interviewed for the study. Analyses yielded two themes and eight sub-themes: perceived usefulness (inclusiveness and participation, dynamic interaction and rapid feedback, accuracy and reliability of information, and early warning alerts), and perceived ease of use (technology self-efficacy, information security and privacy, bridging physical barriers, technical support and experience sharing). Conclusion: Although older adults generally recognize the potential value of digital health tools in health management, they continue to face many challenges in practical application. This study provides empirical support for the promotion and application of digital health tools for older adults in megacities, which is important for promoting active policies toward aging.

Indexed as

digital health toolsMegacitiesolder peoplequalitative researchtechnology acceptance model

Identifiers

PMID40547432
PMCPMC12182614

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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.