Patient Mobility in the Digital Era: How Online Service Information from Internet Hospitals Shapes Patients’ Cross-Regional Healthcare Choices DOI Open Access
Yingjie Lu,

Li Shi,

Zimeng Wang

et al.

Healthcare, Journal Year: 2025, Volume and Issue: 13(5), P. 484 - 484

Published: Feb. 23, 2025

Background/Objectives: Patients in medically underserved regions often seek cross-regional healthcare for high-quality medical services but face significant barriers due to limited information about providers. Internet hospitals address this gap by offering online consultations, remote diagnoses, and public service information. This study examines how such shapes patients' choices. Methods: A binary logistic regression model using signaling theory was employed evaluate the impact of platform-generated signals (e.g., hospital ratings) patient-generated review quantity polarity) on The experimental data were sourced from a leading Chinese platform, comprising 1901 273,884 patient feedback records. Among these, 216,793 patients (79.16%) sought treatment, while 57,091 (20.84%) opted local treatment. Results: Platform-generated signals, as ratings (B = 0.406, p < 0.01) including 0.089, polarity 0.634, 0.01), significantly positively influence Disease severity resource availability moderated these effects: with severe conditions rely less -0.365, those resource-limited areas depend more -0.138, -0.029, 0.273, 0.01). Conclusions: These findings offer actionable insights policymakers platform developers optimize services, facilitating informed decisions advancing equity digital era.

Language: Английский

Patient Mobility in the Digital Era: How Online Service Information from Internet Hospitals Shapes Patients’ Cross-Regional Healthcare Choices DOI Open Access
Yingjie Lu,

Li Shi,

Zimeng Wang

et al.

Healthcare, Journal Year: 2025, Volume and Issue: 13(5), P. 484 - 484

Published: Feb. 23, 2025

Background/Objectives: Patients in medically underserved regions often seek cross-regional healthcare for high-quality medical services but face significant barriers due to limited information about providers. Internet hospitals address this gap by offering online consultations, remote diagnoses, and public service information. This study examines how such shapes patients' choices. Methods: A binary logistic regression model using signaling theory was employed evaluate the impact of platform-generated signals (e.g., hospital ratings) patient-generated review quantity polarity) on The experimental data were sourced from a leading Chinese platform, comprising 1901 273,884 patient feedback records. Among these, 216,793 patients (79.16%) sought treatment, while 57,091 (20.84%) opted local treatment. Results: Platform-generated signals, as ratings (B = 0.406, p < 0.01) including 0.089, polarity 0.634, 0.01), significantly positively influence Disease severity resource availability moderated these effects: with severe conditions rely less -0.365, those resource-limited areas depend more -0.138, -0.029, 0.273, 0.01). Conclusions: These findings offer actionable insights policymakers platform developers optimize services, facilitating informed decisions advancing equity digital era.

Language: Английский

Citations

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