Privacy Concerns and Configurational Patterns of Health Information Sharing Intention Among Patients with Chronic Diseases in Online Health Communities: An SEM and fsQCA Analysis

Background/Objectives: Privacy concerns are negatively associated with health information sharing intention, but their role within combinations of facilitating conditions remains unclear. This study examined variable-level associations and configurational patterns among patients with chronic diseases. Methods: This single-center, cross-sectional study used a convenience sample of 428 patients who had used online health communities. The outcome was self-reported sharing intention rather than observed disclosure. Covariance-based structural equation modeling (SEM) assessed adjusted associations, and fuzzy-set qualitative comparative analysis (fsQCA) identified configurations sufficient for high or low intention under the selected calibration and thresholds. Results: The six-construct model was selected after data-dependent modification of an eight-construct candidate model and should therefore be interpreted as exploratory. Attitude toward sharing (β = 0.204), social rewards (β = 0.220), past positive experience (β = 0.220), and trust (β = 0.228) were positively associated with sharing intention (all p < 0.001), whereas privacy concerns were negatively associated with sharing intention (β = −0.119, p = 0.002). No single condition met the necessity threshold. The baseline fsQCA identified five high-intention and two low-intention configurations, although some expressions changed in sensitivity analyses. Low privacy concerns appeared in four high-intention configurations. In the remaining minimized expression, privacy concerns were not retained, so their level was unrestricted. The empirical truth table showed that high privacy concerns and high intention coexisted in some cases, but this does not establish a positive or compensatory contribution of privacy concerns. Conclusions: In this convenience sample, privacy concerns showed an overall negative association with self-reported sharing intention, while their role in minimized configurations varied with the analytical specification. The findings require independent, multicenter validation and do not establish intervention or platform-design effects.

Authors

Institutions

Publication Details

Journal
Healthcare
Published
2026-10-06
DOI
https://doi.org/10.3390/healthcare14193337
Primary Topic
Health Literacy and Information Accessibility
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Privacy Concerns and Configurational Patterns of Health Information Sharing Intention Among Patients with Chronic Diseases in Online Health Communities: An SEM and fsQCA Analysis

Zongliang Wen, Yiheng Qin, Yan Zhu, Xin Ouyang et al.
Healthcare
Health Literacy and Information Accessibility
article

Privacy Concerns and Configurational Patterns of Health Information Sharing Intention Among Patients with Chronic Diseases in Online Health Communities: An SEM and fsQCA Analysis

Zongliang Wen, Yiheng Qin, Yan Zhu, Xin Ouyang, Xinting Qi
article en

Abstract

Background/Objectives: Privacy concerns are negatively associated with health information sharing intention, but their role within combinations of facilitating conditions remains unclear. This study examined variable-level associations and configurational patterns among patients with chronic diseases. Methods: This single-center, cross-sectional study used a convenience sample of 428 patients who had used online health communities. The outcome was self-reported sharing intention rather than observed disclosure. Covariance-based structural equation modeling (SEM) assessed adjusted associations, and fuzzy-set qualitative comparative analysis (fsQCA) identified configurations sufficient for high or low intention under the selected calibration and thresholds. Results: The six-construct model was selected after data-dependent modification of an eight-construct candidate model and should therefore be interpreted as exploratory. Attitude toward sharing (β = 0.204), social rewards (β = 0.220), past positive experience (β = 0.220), and trust (β = 0.228) were positively associated with sharing intention (all p < 0.001), whereas privacy concerns were negatively associated with sharing intention (β = −0.119, p = 0.002). No single condition met the necessity threshold. The baseline fsQCA identified five high-intention and two low-intention configurations, although some expressions changed in sensitivity analyses. Low privacy concerns appeared in four high-intention configurations. In the remaining minimized expression, privacy concerns were not retained, so their level was unrestricted. The empirical truth table showed that high privacy concerns and high intention coexisted in some cases, but this does not establish a positive or compensatory contribution of privacy concerns. Conclusions: In this convenience sample, privacy concerns showed an overall negative association with self-reported sharing intention, while their role in minimized configurations varied with the analytical specification. The findings require independent, multicenter validation and do not establish intervention or platform-design effects.

HealthcareVol. 14(19)
Xuzhou Medical College (CN)
Openalex Percentile: Top 7%
Health Literacy and Information Accessibility
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.