Qualitative data analysis presents challenges in relation to the volume and complexity of data obtained and the need to present an 'audit trail' for those using the research findings. Framework Analysis is an appropriate, rigorous and systematic method for undertaking qualitative analysis.

BackgroundChronic illnesses are significant to individuals and costly to society. When systematically implemented, the well-established and tested Chronic Care Model (CCM) is shown to improve health outcomes for people with chronic conditions. Since the development of the original CCM, tremendous information management, communication, and technology advancements have been established. An opportunity exists to improve the time-honored CCM with clinically efficacious eHealth tools.ObjectiveThe first goal of this paper was to review research on eHealth tools that support self-management of chronic disease using the CCM. The second goal was to present a revised model, the eHealth Enhanced Chronic Care Model (eCCM), to show how eHealth tools can be used to increase efficiency of how patients manage their own chronic illnesses.MethodsUsing Theory Derivation processes, we identified a “parent theory”, the Chronic Care Model, and conducted a thorough review of the literature using CINAHL, Medline, OVID, EMBASE PsychINFO, Science Direct, as well as government reports, industry reports, legislation using search terms “CCM or Chronic Care Model” AND “eHealth” or the specific identified components of eHealth. Additionally, “Chronic Illness Self-management support” AND “Technology” AND several identified eHealth tools were also used as search terms. We then used a review of the literature and specific components of the CCM to create the eCCM.ResultsWe identified 260 papers at the intersection of technology, chronic disease self-management support, the CCM, and eHealth and organized a high-quality subset (n=95) using the components of CCM, self-management support, delivery system design, clinical decision support, and clinical information systems. In general, results showed that eHealth tools make important contributions to chronic care and the CCM but that the model requires modification in several key areas. Specifically, (1) eHealth education is critical for self-care, (2) eHealth support needs to be placed within the context of community and enhanced with the benefits of the eCommunity or virtual communities, and (3) a complete feedback loop is needed to assure productive technology-based interactions between the patient and provider.ConclusionsThe revised model, eCCM, offers insight into the role of eHealth tools in self-management support for people with chronic conditions. Additional research and testing of the eCCM are the logical next steps.

Purpose Recruiting rural and underserved participants in behavioral health interventions is challenging. Community-based recruitment approaches are effective, but they are not always feasible in multisite, diverse community interventions. This study evaluates the feasibility of a rapid, multisite approach that uses rural clinic site coordinators to recruit study participants. The approach allows for rural recruitment in areas where researchers may not have developed long-term collaborative relationships. Methods Adults with diabetes were recruited from rural Federally Qualified Health Center (FQHC) clinics. Recruitment feasibility was assessed by analyzing field notes by the project manager and health coaches, and 8 in-depth, semi-structured interviews with clinic site coordinators and champions, followed by thematic analysis of field notes and interviews. Findings Forty-seven rural sites were contacted to obtain the 6 sites that participated in the study. On average, sites took 14 days to commit to study participation. One hundred and twenty-one participants were acquired from letters mailed to eligible participants and, in some sites, by follow-up phone calls from site coordinators. Facilitators and deterrents affecting study recruitment fell into 4 broad categories—study design, site, site coordinator, and participant factors. Conclusion The rapid multi-site approach led to quick and efficient recruitment of clinic sites and participants. Recruitment success was achieved in some, but not all, rural sites. The study highlights the opportunities and challenges of recruiting rural clinics and rural, underserved participants in multisite research. Suggestions are provided for improving recruitment for future interventions.

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