When people access online health information, unfortunately, they have access to both clinically accurate and inaccurate information that they may then utilize to make informed personal health decisions. This research fills a gap in the literature of online health communities as they relate to chronic obstructive pulmonary disease (COPD). The conduct of this research required a multi-phased and multi-method approach, best presented in three distinct essays. In Essays 1 and 2, data gathering within two online health communities specific to COPD allowed this study to address three research questions: (1) what are the information needs of COPD patients that result in their participation in online health communities; (2) what are the information sources offered to the participants in these online communities; and (3) is the information obtained via those communities credible. Essay 1 harvested data from a moderated website hosted by a non-profit organization for patients with COPD and Essay 2 harvested data from a non-moderated Facebook group also serving this unique group. Data Miner, a Chrome extension designed to extract data, was used to collect data, key words and themes which brought an understanding of the health information needs of participants and identified what health information sources were preferred. Using NIH guidelines, the credibility of sources exchanged were evaluated for both groups. The research presented in Essay 1 showed that COPD patients have health information needs and that a clinically monitored social health online community, that is available 24/7 to answer questions that arise at the time of need, provides much needed support. The research in Essay 2 illustrates the need for healthcare workers to be aware of unmoderated sites and promote these sites for the purpose of socialization only, and not for medical information. Building on the knowledge gained through the data analysis in Essays 1 and 2 and based on the theoretical frameworks established in the health belief model, social exchange theory, and the technology acceptance model, Essay 3 generated a new integrated model that seeks to understand information seeking effectiveness in online health communities was proposed. This model identifies the relationships between the types of disease specific information sought by members of 65 COPD Facebook groups, and member success in acquiring credible and clinically accurate health information to use in making health decisions related to disease management and the development of effective health management behaviors. Structural equation modeling was utilized to analyze survey responses and test the proposed model for statistical significance This study has important implications for health educators and medical professionals that will enhance their understanding of the benefits of online peer health communities and will guide them in providing their patients with an "information prescription" guiding them to clinically accurate and understandable, disease specific health information between office visits and at the patient's time of need.
