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An Empirical Study of Online Supports among Patients

38 Pages Posted: 25 Oct 2010 Last revised: 9 Apr 2017

Lu (Lucy) Yan

Indiana University - Kelley School of Business - Department of Operation & Decision Technologies

Yong Tan

University of Washington - Michael G. Foster School of Business

Date Written: October 25, 2010

Abstract

This paper investigates the helpfulness of an online healthcare community to patients’ health conditions.We propose an inhomogeneous Partially Observed Markov Decision Process (POMDP) model to examine the latent health outcomes of online health community members. The transition between different health states is modeled as a probability function which incorporates different forms of social supports that patients receive via online communication, and other factors that would impact patients’ online behaviors. We find that patients gain benefits from learning from others, and the participation in the online community helps them to improve their health conditions and better engage in their disease self-management processes. Our results also reveal the effect of various forms of social supports on dynamic evolution of patients’ health conditions. Informational support on average contributes the most to helping patients move to a better health state. Peer recognition and self-identification are also found to have significant impact on the transitions between patients’ health states. Finally, we demonstrate that our POMDP model provides a very accurate method to recover missing or unavailable information on patient health conditions.

Keywords: healthcare, social networks, online media, user generated content, Observed Markov Decision Process

JEL Classification: C51, C31, C32, C50, C52, C53, I10, I18

Suggested Citation

Yan, Lu (Lucy) and Tan, Yong, An Empirical Study of Online Supports among Patients (October 25, 2010). Available at SSRN: https://ssrn.com/abstract=1697849 or http://dx.doi.org/10.2139/ssrn.1697849

Lu (Lucy) Yan (Contact Author)

Indiana University - Kelley School of Business - Department of Operation & Decision Technologies ( email )

Business 670
1309 E. Tenth Street
Bloomington, IN 47401
United States

Yong Tan

University of Washington - Michael G. Foster School of Business ( email )

Box 353226
Seattle, WA 98195-3226
United States

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