Medical experiences of patients with breast cancer using smart hospital apps: A qualitative study.

Xin Peng, Lingling Tang, Ping Gao, Wei Liu

Abstract readReview

In one paragraph

Review in Heliyon, 2025. 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

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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

4 authors.

Xin PengDepartment of Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue 1277, Wuhan, 430022, China.

Lingling TangDepartment of Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue 1277, Wuhan, 430022, China.

Ping GaoDepartment of Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue 1277, Wuhan, 430022, China.

Wei LiuDepartment of Information and Data Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Avenue 1277, Wuhan, 430022, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To examine medical experiences of patients with breast cancer with smart hospital apps and their expectations for future development. Methods: A descriptive qualitative research method was employed to conduct in-depth interviews with 40 patients with breast cancer who used smart hospital apps. Content analysis was performed to analyze and organize the interview data. Results: Five main themes and two sub-themes were identified. The main themes were as follows: positive experiences with using smart hospital apps, difficulties with data sharing across multiple campuses, interpersonal communication and coping, smart healthcare not a free choice, and expectations for development of smart hospitals. The sub-themes were as follows: precise information delivery mechanisms and intelligent healthcare navigation. Conclusion: Researchers should enhance communication from the patient's perspective to understand the problems patients encounter when using smart hospitals for medical treatment and their expectations for development of smart hospitals. Efforts should focus on minimizing patient usage barriers and accelerating smart hospital development.

Indexed as

Artificial intelligenceInformatizationMedical experienceQualitative researchSmart hospital

Identifiers

PMID40028575

DOI10.1016/j.heliyon.2025.e42573

PMCPMC11872471

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LicenceCC BY

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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.