Can online social support be detrimental in stigmatized chronic diseases? A quadratic model of the effects of informational and emotional support on self-care behavior of HIV patients.

Objective: We studied the impact of online social support on patient self-care behavior in an online health community for human immunodeficiency virus (HIV) patients. We conceptualized emotional and informational support provided by community members into nuanced sub-dimensions. We explored how the direct and interaction effects of these sub-dimensions impact the self-care behavior of a support seeker. Methods: We used data from 330 255 posts in 30 050 threads from POZ, an online health community for HIV patients. Our key variables-self-care behaviori, objective informationj, experiential supportj, and emotional tonej-were operationalized using linguistic analysis with self-generated dictionaries and Python libraries. We tested our hypotheses using Tobit regression. Results: Out of 6 null hypotheses, 5 were rejected. Objective information and emotional tone had an inverted-U relationship with self-care behavior. Experiential information and community involvement were positively related to self-care behavior. Community involvement amplified the inverted-U relationship between emotional tone and self-care behavior. No significant interaction effect was found between experiential support and objective information. Conclusions: Beyond a threshold, both informational and emotional online social support had a deleterious impact on self-care behavior of HIV patients. Our results suggested that caution should be exercised in the use of online health community interventions for HIV patients, and perhaps patients with other stigmatized chronic diseases.

Antecedents to the adoption of ASPS in healthcare.

The objective of this exploratory study was to identify drivers of adoption for a new form of information technology outsourcing--the ASP model--in the healthcare industry. Primary data were collected in January 2002 from a nationwide survey of senior-level healthcare information technology executives. Cost management (supplier presence, asset specificity, production costs, transaction costs, resource availability) and relative advantage (reliability, customizability, strategic alignment, and magnitude of potential loss) were found to have the largest influences on adoption behavior.