Assessing the sustainability and scalability of a diabetes eHealth innovation: a mixed-methods study.

BACKGROUND: To date, little is known about the sustainability and scalability of MyDiabetesPlan, an eHealth innovation designed to facilitate shared decision-making within diabetes care. To avoid the possibility of its short-lived implementation and promote wider adoption so as to promote patient-centred diabetes care, it is critical to understand MyDiabetesPlan's sustainability and scalability in order to ensure its long-term impact at a greater scale. We sought to identify the sustainability and scalability potential of MyDiabetesPlan and its limiting factors. METHODS: Using a concurrent triangulation mixed-methods approach, data were collected from 20 individuals involved in the development and implementation of MyDiabetesPlan. The National Health Services Sustainability Model (NHSSM) and the Innovation Scalability Self-administered Questionnaire (ISSaQ) were administered using a 'think-aloud' approach and subsequently, short semi-structured interviews were conducted. Mean aggregate scores and stakeholder-specific scores were generated for the NHSSM and ISSaQ, to quantitatively determine facilitating and limiting factors to sustainability and scalability. Content analysis occurred iteratively with qualitative data, to examine commonalities and differences with the quantitative findings. RESULTS: The top facilitating factor to sustaining MyDiabetesPlan was "Staff involvement and training to sustain the process.", whereas the top limiting factors were: "Adaptability of Improved Process", "Senior Leadership Engagement" and "Infrastructure for Sustainability". The top three facilitating factors for scale-up were "Acceptability", "Development with Theory" and "Consistency with Policy Directives." Conversely, the top three limiting factors were "Financial and Human Resources", "Achievable Adoption" and "Broad Reach". Qualitative findings corroborated the limiting/facilitating factors identified. CONCLUSIONS: Addressing staff involvement throughout the dynamic care contexts, and resource constraints impacting scale-up can enhance the sustainability and scalability of MyDiabetesPlan. As such, future plans will focus on garnering organizational leadership buy-in and support, which may address the resource constraints associated with sustainability and scalability and improve the capacity for adequate staff involvement. eHealth researchers will be able to prioritize these limiting factors from the outset of their tool development to purposefully optimize its sustainability and scalability performance.

Evaluation of Experiences and Impact of Patient Engagement on e-Health Research: A Qualitative Study.

BACKGROUND: Health technology has increasingly moved toward adopting a "user-centred design" approach to include the user/patient throughout the innovation and design process; however, few studies have evaluated the patient's experience of such an engagement. OBJECTIVE: The aim of this study was to explore the role of patient engagement (PE) within e-health innovation research. METHOD: Using qualitative descriptive methodology, semi-structured interviews were conducted with eight participants (patient partners and research/development team members). FINDINGS: Key themes were centred on enablers of, challenges to and methods of improving PE. CONCLUSION: PE must be prioritized from study conception, explicitly programmed into study conduct and valued by integrating patient partner input.

"If We Got a Win-Win, You Can Sell It to Everybody": A Qualitative Study Employing Normalization Process Theory to Identify Critical Factors for eHealth Implementation and Scale-up in Primary Care.

OBJECTIVES: Translation of eHealth research findings and successful implementation into clinical care is limited. We used a multitiered approach (individual, organizational, societal) to assess the implementation potential of MyDiabetesPlan within Ontario's primary care system and applied the normalization process theory (NPT) to explicate our findings. METHODS: Data were collected from 15 individuals through interviews with primary care administrative end-users and a focus group discussion with Ministry of Health decision-makers, then qualitatively analyzed using thematic analysis for emergent themes. RESULTS: We identified 3 themes corresponding to our multitiered approach: 1) stakeholder buy-in was critical to engagement and was impacted by perceptions/capacities; 2) clinical integration of MyDiabetesPlan depended on alignment with clinic philosophy of care, pre-existing technologies and workflow; and 3) political climate and trends were important considerations for eHealth implementation. Application of NPT to findings revealed that interplay between buy-in and perceptions/capacities of clinical practice stakeholders was critical to engaging them for eHealth implementation. In contrast, evaluation of costs and outcomes was critical to inform operational-management stakeholders' perceptions. Findings at the organizational and societal levels best aligned with the factors influencing operationalization of MyDiabetesPlan. Overall, our findings show that the synergistic operationalization of MyDiabetesPlan into practice was a prerequisite to implementation at all health-care levels. CONCLUSIONS: Application of NPT revealed context- and stakeholder-specific interactions that should be synergistically leveraged to promote MyDiabetesPlan normalization into routine clinical practice. Our findings provide further insight into how researchers can comprehensively assess eHealth implementation potential within Ontario and can be extrapolated to similar single-payer health-care jurisdictions.