Demonstrating Collegiality: A Co-Constructed Narrative Inquiry

“Demonstrating Collegiality: A Co-Constructed Narrative Inquiry” seeks to define a collegial relationship through the experiences of two first year doctoral students at a large state-supported university. The techniques used to develop the co-constructed narrative parallel the authors’ development of a collaborative relationship. Using autoethnographic essays and interactive interviews, the authors co-construct several narratives that describe the process of moving from a friendly, social relationship to a scholarly, collaborative relationship, as well as the process of moving from peer reviewers to co-authors. An introductory narrative frames the paper; each of the “interior” narratives is accompanied by an extensive analytic introduction and the interpretation section is presented as a co-constructed narrative of the interpretive process. The authors attempt to categorize shared characteristics and values that were important to their development of a collegial relationship

Narrative As Communication Activism: Research Relationships In Social Justice Projects

When they talk about CASA or the project, Deb and Elizabeth use the words “we, our, or us,” not “them or they.” Deb and Elizabeth are part of CASA because they understand us. They get it. Lots of people study domestic violence, but they were the first researchers interested in us, the workers. We felt validated because university researchers thought what we did was important, and they asked us to help them understand our work. They didn’t lecture us; they listened to us. These are some of the staff’s observations about our participation in the University Community Initiative Project (UCI), a grant-funded research collaboration between Community Action Stops Abuse (CASA) and the University of South Florida’s (USF) Communication and Sociology Departments. CASA is a community service organization located in St. Petersburg, Florida that advocates for victims and survivors of domestic violence by providing both emergency assistance and long-term support. USF is a large, metropolitan, state-supported university that seeks to connect with its surrounding community by forging partnerships designed to assist with social problems

Monitoring Success in Choice Neighborhoods: A Proposed Approach to Performance Measurement

Offers a framework and tools for performance management in the initiative to transform poor neighborhoods into revitalized, sustainable mixed-income communities. Proposes system components, logic model, management reports, and performance indicators

My Diabetes My Way:supporting online diabetes self-management: progress and analysis from 2016

Abstract Background My Diabetes My Way (MDMW) is the National Health Service (NHS) Scotland website for people with diabetes and their carers. It consists of an interactive information website and an electronic personal health record (ePHR) available to the 291,981 people with diabetes in Scotland. We aimed to analyse the demographic characteristics of current registrants and system usage and activity during 2016. Methods We analysed system audit trails to monitor user activity and page accesses on the information website, and logins and activity within the ePHR. The ePHR contains data from SCI-Diabetes, NHS Scotland’s flagship diabetes record, sourcing data from primary and secondary care, specialist screening services and laboratory systems. We reviewed patient registration characteristics to collate demographic data for the MWDH cohort, then compared this to aggregate data published in the 2016 Scottish Diabetes Survey. The Scottish Diabetes Survey is an annual population-based report detailing diabetes statistics for the whole diabetes population in NHS Scotland. Results The MDMW information website received an average of 101,382 page accesses per month during 2016 (56.9% increase from 2015; n = 64,607). ePHR registrants were more likely to be younger (p < 0.001) and have an ethnicity of “white” (p < 0.001) than the background diabetes population. At the end of 2016, 11,840 people with diabetes had accessed their personal clinical information (58.6% increase since end 2015; n = 7464). During 2016, an average of 1907 people accessed their records each month (48.3% increase from 2015; n = 1286). Conclusion My Diabetes My Way is a useful tool aid to diabetes self-management. The service is unique in offering records access to a national population, providing information from all relevant diabetes-related sources, rather than a single silo. MDMW supports the diabetes improvement, self-management, healthcare quality and eHealth strategies of the Scottish Government. The service also has potential to be adapted to work with other clinical systems and conditions

A Longitudinal Perspective on User Uptake of an Electronic Personal Health Record for Diabetes, With Respect To Patient Demographics

INTRODUCTION: The growing prevalence of diabetes has increased the need for scalable technologies to improve outcomes. My Diabetes My Way (MDMW) is an electronic personal health record (ePHR) available to all people with diabetes in Scotland since 2010, associated with improved clinical outcomes among users. MDMW pulls data from a national clinician-facing informatics platform and provides self-management and educational information. This study aims to describe MDMW user demographics through time with respect to the national diabetes population, with a view to addressing potential health inequalities. METHODS: Aggregate data were obtained retrospectively from the MDMW database and annual Scottish Diabetes Survey (SDS) from 2010 to 2020. Variables included diabetes type, sex, age, socioeconomic status, ethnicity, and glycemic control. Prevalence of MDMW uptake was calculated using corresponding SDS data as denominators. Comparisons between years and demographic sub-groups were made using Chi- Squared tests. RESULTS: Overall uptake of MDMW has steadily increased since implementation. By 2020, of all people with T1D or T2D in Scotland, 13% were fully enrolled to MDMW (39,881/312,326). There was proportionately greater numbers of users in younger, more affluent demographic groups (with a clear social gradient) with better glycemic control. As uptake has increased through time, so too has the observed gaps between different demographic sub-groups. CONCLUSIONS: The large number of MDMW users is encouraging, but remains a minority of people with diabetes in Scotland. There is a risk that innovations like MDMW can widen health inequalities and it is incumbent upon healthcare providers to identify strategies to prevent this

User-Centered Design of A Novel Risk Prediction Behavior Change Tool Augmented With an Artificial Intelligence Engine (MyDiabetesIQ):A Sociotechnical Systems Approach

BACKGROUND: Diabetes and its complications account for 10% of annual health care spending in the United Kingdom. Digital health care interventions (DHIs) can provide scalable care, fostering diabetes self-management and reducing the risk of complications. Tailorability (providing personalized interventions) and usability are key to DHI engagement/effectiveness. User-centered design of DHIs (aligning features to end users’ needs) can generate more usable interventions, avoiding unintended consequences and improving user engagement. OBJECTIVE: MyDiabetesIQ (MDIQ) is an artificial intelligence engine intended to predict users’ diabetes complications risk. It will underpin a user interface in which users will alter lifestyle parameters to see the impact on their future risks. MDIQ will link to an existing DHI, My Diabetes My Way (MDMW). We describe the user-centered design of the user interface of MDIQ as informed by human factors engineering. METHODS: Current users of MDMW were invited to take part in focus groups to gather their insights about users being shown their likelihood of developing diabetes-related complications and any risks they perceived from using MDIQ. Findings from focus groups informed the development of a prototype MDIQ interface, which was then user-tested through the “think aloud” method, in which users speak aloud about their thoughts/impressions while performing prescribed tasks. Focus group and think aloud transcripts were analyzed thematically, using a combination of inductive and deductive analysis. For think aloud data, a sociotechnical model was used as a framework for thematic analysis. RESULTS: Focus group participants (n=8) felt that some users could become anxious when shown their future complications risks. They highlighted the importance of easy navigation, jargon avoidance, and the use of positive/encouraging language. User testing of the prototype site through think aloud sessions (n=7) highlighted several usability issues. Issues included confusing visual cues and confusion over whether user-updated information fed back to health care teams. Some issues could be compounded for users with limited digital skills. Results from the focus groups and think aloud workshops were used in the development of a live MDIQ platform. CONCLUSIONS: Acting on the input of end users at each iterative stage of a digital tool’s development can help to prioritize users throughout the design process, ensuring the alignment of DHI features with user needs. The use of the sociotechnical framework encouraged the consideration of interactions between different sociotechnical dimensions in finding solutions to issues, for example, avoiding the exclusion of users with limited digital skills. Based on user feedback, the tool could scaffold good goal setting, allowing users to balance their palatable future complications risk against acceptable lifestyle changes. Optimal control of diabetes relies heavily on self-management. Tools such as MDMW/ MDIQ can offer personalized support for self-management alongside access to users’ electronic health records, potentially helping to delay or reduce long-term complications, thereby providing significant reductions in health care costs