Peer-Generated Health Information: The Role of Online Communities in Patient and Caregiver Health Decisions.

Individuals increasingly access peer-generated health information (PGHI) through social media, especially online health communities (OHCs). Previous research has documented PGHI topics, credibility assessment strategies, and PGHI's connection with well-being. However, there is limited evidence on where, when, and why individuals seek PGHI and how they use PGHI in health decisions. We conducted in-person and online focus groups with verified OHC members (N = 89)-representing 50 different medical conditions and 77 OHCs-to explore these topics. Two researchers independently coded transcripts with NVivo 9.2 and thematically analyzed responses. Most individuals accidentally discovered PGHI during Web searches rather than intentionally seeking it. Individuals valued PGHI primarily as an alternative information source about treatment options, self-care activities, and health care provider questions rather than a source of emotional support, and they acknowledged PGHI's limitation as anecdotal evidence. Individuals used PGHI as a springboard for additional research and patient-provider discussions, ultimately making treatment decisions alongside providers. These findings suggest that individuals use PGHI in much the same way they use traditional online health information and that PGHI facilitates, rather than obstructs, shared decision making with health care providers.

Supporting Tablet Configuration, Tracking, and Infection Control Practices in Digital Health Interventions: Study Protocol.

BACKGROUND: Tablet-based health care interventions have the potential to encourage patient care in a timelier manner, allow physicians convenient access to patient records, and provide an improved method for patient education. However, along with the continued adoption of tablet technologies, there is a concomitant need to develop protocols focusing on the configuration, management, and maintenance of these devices within the health care setting to support the conduct of clinical research. OBJECTIVE: Develop three protocols to support tablet configuration, tablet management, and tablet maintenance. METHODS: The Configurator software, Tile technology, and current infection control recommendations were employed to develop three distinct protocols for tablet-based digital health interventions. Configurator is a mobile device management software specifically for iPhone operating system (iOS) devices. The capabilities and current applications of Configurator were reviewed and used to develop the protocol to support device configuration. Tile is a tracking tag associated with a free mobile app available for iOS and Android devices. The features associated with Tile were evaluated and used to develop the Tile protocol to support tablet management. Furthermore, current recommendations on preventing health care-related infections were reviewed to develop the infection control protocol to support tablet maintenance. RESULTS: This article provides three protocols: the Configurator protocol, the Tile protocol, and the infection control protocol. CONCLUSIONS: These protocols can help to ensure consistent implementation of tablet-based interventions, enhance fidelity when employing tablets for research purposes, and serve as a guide for tablet deployments within clinical settings.

Improving the implementation of diabetes self-management: findings from the Alliance to Reduce Disparities in Diabetes.

To enhance the health and well-being of patients managing type 2 diabetes, the five grantees comprising the Alliance to Reduce Disparities in Diabetes implemented evidence-based approaches to patient self-management education as part of their programs. This article describes strategies implemented by the grantees that may help explain program success, defined as improvement in clinical values and patient-reported outcomes. A process evaluation of grantee programs included interviews and document review at the beginning, midpoint, and end of the Alliance initiative. A total of 97 interviews were conducted over time with 65 program representatives. The Alliance programs served 2,328 people from diverse racial and ethnic backgrounds and provided 36,826 diabetes self-management sessions across the intervention sites. Framework analysis of the interviews identified four key themes that emerged across time and program sites that may help account for program success: empowerment, increasing access and support, addressing local needs and barriers, and care coordination. The overall evaluation findings may help other diabetes self-management programs seeking to translate and implement evidence-based approaches to reduce disparities and enhance patient well-being.