Evidence map›Paper›PMID 41078613›Full record

ArticleDigital health

Wandering at the crossroads of using a smartphone among nursing home residents: A qualitative descriptive study.

Qiyuan Huang, Yuanfeng Lu, Sheng Wu, Wan Cheng, Huangqin Liu, Huimin Xiao

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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Qiyuan HuangSchool of Nursing, Fujian Medical University, Fuzhou, China.ORCID https://orcid.org/0009-0000-4004-1892
Yuanfeng LuSchool of Nursing, Fujian Medical University, Fuzhou, China.
Sheng WuSchool of Informatics, Xiamen University, Xiamen, China.
Wan ChengSchool of Nursing, Fujian Medical University, Fuzhou, China.
Huangqin LiuSchool of Nursing, Fujian Medical University, Fuzhou, China.
Huimin XiaoSchool of Nursing, Fujian Medical University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Internet has been integrated into various aspects of senior life. However, the popularity of digitization does not mean that digital devices are well-inclusive. It is considered important to explore the willingness of nursing home residents to use smartphones in the context of the development of "Digital China." Objectives: To explore the perceptions and concerns of smartphone use in nursing home residents. Method: The study employed a descriptive qualitative design. A purposive sample of 22 nursing home residents was recruited as participants. Semi-structured interviews were conducted to collect data between April 2024 and June 2024. Interviews were transcribed, and analyzed by the qualitative content analysis method. Results: Nursing home residents were wandering at the crossroads of smartphone use. Four specific categories emerged: (1) Positive appraisal of smartphones' value; (2) Internal cognitive biases in smartphone use; (3) Objective constraints on smartphone use; and (4) Practical strategies for digital inclusion. Their cognitive biases involved low perceived usefulness, lack of basic knowledge, and technological anxiety; and the objective constraints were physical aging, unfriendly operating systems, and poor digital inclusion environments. Residents expected instrumental digital support including visual smartphone use guidelines, peer or intergenerational beside guidance, and digital life scenarios. Conclusions: This study clarifies the subjective and objective challenges encountered by nursing home residents in using smartphones. It provides fresh insights from the perspective of nursing home residents for developing environmentally sensitive digital inclusion intervention strategies.

Indexed as

digital inclusionnursing homeOlder adultsqualitative researchsmartphone use

Identifiers

PMID41078613
PMCPMC12508548

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.