Toward Diabetes Device Development That Is Mindful to the Needs of Young People Living With Type 1 Diabetes: A Data- and Theory-Driven Qualitative Study.

BACKGROUND: An important strategy to understand young people's needs regarding technologies for type 1 diabetes mellitus (T1DM) management is to examine their day-to-day experiences with these technologies. OBJECTIVE: This study aimed to examine young people's and their caregivers' experiences with diabetes technologies in an exploratory way and relate the findings to the existing technology acceptance and technology design theories. On the basis of this procedure, we aimed to develop device characteristics that meet young people's needs. METHODS: Overall, 16 in-person and web-based face-to-face interviews were conducted with 7 female and 9 male young people with T1DM (aged between 12 and 17 years) and their parents between December 2019 and July 2020. The participants were recruited through a pediatric diabetes clinic based at Canberra Hospital. Data-driven thematic analysis was performed before theory-driven analysis to incorporate empirical data results into the unified theory of acceptance and use of technology (UTAUT) and value-sensitive design (VSD). We used the COREQ (Consolidated Criteria for Reporting Qualitative Research) checklist for reporting our research procedure and findings. In this paper, we summarize the key device characteristics that meet young people's needs. RESULTS: Summarized interview themes from the data-driven analysis included aspects of self-management, device use, technological characteristics, and feelings associated with device types. In the subsequent theory-driven analysis, the interview themes aligned with all UTAUT and VSD factors except for one (privacy). Privacy concerns or related aspects were not reported throughout the interviews, and none of the participants made any mention of data privacy. Discussions around ideal device characteristics focused on reliability, flexibility, and automated closed loop systems that enable young people with T1DM to lead an independent life and alleviate parental anxiety. However, in line with a previous systematic review by Brew-Sam et al, the analysis showed that reality deviated from these expectations, with inaccuracy problems reported in continuous glucose monitoring devices and technical failures occurring in both continuous glucose monitoring devices and insulin pumps. CONCLUSIONS: Our research highlights the benefits of the transdisciplinary use of exploratory and theory-informed methods for designing improved technologies. Technologies for diabetes self-management require continual advancement to meet the needs and expectations of young people with T1DM and their caregivers. The UTAUT and VSD approaches were found useful as a combined foundation for structuring the findings of our study.

ACT Transition from Hospital to Home Orthopaedic Survey: a cross-sectional survey of unplanned 30-day readmissions for patients having total hip arthroplasty.

OBJECTIVES: The aim of this study was to identify patient, hospital and transitional factors associated with unplanned 30-day readmissions in patients who had a total hip arthroplasty (THA). DESIGN: A cross-sectional survey was performed. All patients attending a 6-week follow-up after a THA in the Australian Capital Territory (ACT) at four public and private clinics in the ACT from 1 February 2018 to 31 January 2019, were invited to complete an ACT Transition from Hospital to Home Orthopaedic Survey. PARTICIPANTS: Within the ACT, 431 patients over the age of 16 attending their 6-week post-surgery consultation following a THA entered and completed the survey (response rate 77%). PRIMARY OUTCOME MEASURE: The primary outcome measure was self-reported readmissions for any reason within 30 days of discharge after a THA. Multiple logistic regression was used to estimate ORs of factors associated with unplanned 30-day readmissions. RESULTS: Of the 431 participants (representing 40% of all THAs conducted in the ACT during the study period), 27 (6%) were readmitted within 30 days of discharge. After controlling for age and sex, patients who did not feel rested on discharge were more likely to be readmitted within 30 days than those who felt rested on discharge (OR=5.75, 95% CI: (2.13 to 15.55), p=0.001). There was no association between post-hospital syndrome (ie, in-hospital experiences of pain, sleep and diet) overall and readmission. Patients who suffered peripheral vascular disease (PVD) were significantly more likely to have an unplanned 30-day readmission (OR=16.9, 95% CI: (3.06 to 93.53), p=0.001). There was no significant difference between private and public patient readmissions CONCLUSIONS: Hospitals should develop strategies that maximise rest and sleep during patients' hospital stay. Diagnosis and optimum treatment of pre-existing PVD prior to THA should also be a priority to minimise the odds of subsequent unplanned readmissions.

Understanding factors affecting 30-day unplanned readmissions for patients undergoing total knee arthroplasty (TKA): the ACT Transition from Hospital to Home Orthopaedics Survey.

OBJECTIVES: The aim of this study was to investigate factors associated with unplanned 30-day readmissions following a total knee arthroplasty (TKA), including association with post-hospital syndrome, patient enablement and transition from hospital to home. DESIGN, SETTING AND PARTICIPANTS: A cross-sectional written survey of public and private patients attending a 6-week follow-up appointment after TKA at one of four clinical services in the Australian Capital Territory (ACT) between 1 February 2018 and 31 January 2019. Multiple logistic regression analyses were used to measure associations between patient, hospital and transitional care factors with unplanned 30-day readmissions, while controlling for known confounders. RESULTS: Of the 380 participants who completed the survey (n=380, 54% of TKAs undertaken over the study period), 3.4% (n=13; 95% CI: 1.8 to 5.8) were subsequently readmitted within 30 days of discharge after a primary hospitalisation. Public patients were significantly more likely to be readmitted within 30 days compared with private patients (adjusted OR=6.31, 95% CI: 1.59 to 25.14, p=0.009), and patients who attended rehabilitation were significantly less likely to be readmitted within 30 days of discharge than those who did not (adjusted OR=0.16, 95% CI: 0.04 to 0.57, p=0.005). There were no associations between post-hospital syndrome or patient enablement and 30-day readmissions in this study. CONCLUSION: Reasons underlying the difference in unplanned readmission rates for public versus private patients need to be explored, including differences in surgical waiting times and the consequences for impairment and disease complexity. Strategies to foster increased participation post-surgical rehabilitation programmes need to be developed as an avenue to mitigate the burden of unplanned 30-day readmissions on individuals and health systems.

Experiences of Young People and Their Caregivers of Using Technology to Manage Type 1 Diabetes Mellitus: Systematic Literature Review and Narrative Synthesis.

BACKGROUND: In the last decade, diabetes management has begun to transition to technology-based care, with young people being the focus of many technological advances. Yet, detailed insights into the experiences of young people and their caregivers of using technology to manage type 1 diabetes mellitus are lacking. OBJECTIVE: The objective of our study was to describe the breadth of experiences and perspectives on diabetes technology use among children and adolescents with type 1 diabetes mellitus and their caregivers. METHODS: This systematic literature review used integrated thematic analysis to guide a narrative synthesis of the included studies. We analyzed the perspectives and experiences of young people with type 1 diabetes mellitus and their caregivers reported in qualitative studies, quantitative descriptive studies, and studies with a mixed methods design. RESULTS: Seventeen articles met the inclusion criteria, and they included studies on insulin pump, glucose sensors, and remote monitoring systems. The following eight themes were derived from the analysis: (1) expectations of the technology prior to use, (2) perceived impact on sleep and overnight experiences, (3) experiences with alarms, (4) impact on independence and relationships, (5) perceived usage impact on blood glucose control, (6) device design and features, (7) financial cost, and (8) user satisfaction. While many advantages of using diabetes technology were reported, several challenges for its use were also reported, such as cost, the size and visibility of devices, and the intrusiveness of alarms, which drew attention to the fact that the user had type 1 diabetes mellitus. Continued use of diabetes technology was underpinned by its benefits outweighing its challenges, especially among younger people. CONCLUSIONS: Diabetes technologies have improved the quality of life of many young people with type 1 diabetes mellitus and their caregivers. Future design needs to consider the impact of these technologies on relationships between young people and their caregivers, and the impact of device features and characteristics such as size, ease of use, and cost.