Evidence map›Paper›PMID 40066181›Full record

ArticleFrontiers in psychology2025

Exploring the impact of discharged patients' characteristics on online health information-seeking behaviors: insights from patients' dilemmas.

Fei Liu, Xiangyin Kong, Tian Xia, Huijing Guo

Abstract read
In one paragraph

Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Fei LiuSchool of Economics and Management, Harbin Engineering University, Harbin, China.
Xiangyin KongSchool of Economics and Management, Harbin Engineering University, Harbin, China.
Tian XiaSchool of Management, Harbin Institute of Technology, Harbin, China.
Huijing GuoSchool of Economics and Management, China University of Mining and Technology, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Aligned with the dual-factor model, this study aims to investigate why discharged patients seek online health information, considering the complexity of patients' dilemmas. Additionally, we account for specific cultural context factor in China and seek to examine the role of living with children in mitigating the dilemmas faced by discharged patients in their pursuit of additional online information. Methods: We empirically tested the research model using data collected from 292 discharged patients. The data was examined through structural equation modeling, employing Smart PLS. Results: The findings suggest that perceived stress facilitates discharged patients' engagement in seeking online health information, whereas resistance to change and learned helplessness impede such behaviors. Furthermore, our analysis reveals that cohabiting with children moderates the effects of resistance to change on online health information-seeking behavior. Discussion: In conclusion, this paper extends the literature by examining the role of discharged patients' characteristics on online health information-seeking behaviors. Following the practices in China, this study involves living arrangements (with children) as an essential factor in the research model. This paper offer suggestions to online providers to make health-related information more suitable for discharged patients.

Indexed as

dilemmasdischarged patientsdual-factor modelliving with childrenonline health information-seeking behaviors

Identifiers

PMID40066181
PMCPMC11892349

What OpenQuestion holds

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LicenceCC BY
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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.