LGBTQ+ Inclusivity Training and Education: A Toolkit for Skilled Nursing Facilities.

OBJECTIVES: The objective of this study was to develop the LGBTQ+ Inclusivity Training and Education (LITE) toolkit and to examine the usability and acceptability of the LITE toolkit to health care workers and staff who work within skilled nursing facilities (SNFs). DESIGN: A community-engaged approach using human-centered design to develop the LITE toolkit. To test the usability and acceptability of the LITE toolkit, we provided a posttest survey to users after a 9-week period. SETTING AND PARTICIPANTS: The LITE toolkit was distributed to 25 SNFs throughout a 7-county area in North Carolina. METHODS: Development processes included an LGBTQ+ community advisory board, development of resource topics and a list of best practices, and development of a website. The LITE toolkit comprised a website of LGBTQ+ resources, poster of 6 Best Practices to LGBTQ+ Care, rainbow lapel pins, and writing pens with the LITE logo. Online surveys were distributed to SNF administrators to share with health care workers and staff to collect data on the usability and acceptability of the LITE toolkit. Descriptive statistics were used for data analysis. RESULTS: Fifteen participants completed the survey. Answering all survey questions was not a requirement. Seventy-nine percent (n = 14) of SNF health care workers indicated that the LITE toolkit was "easy to understand" and that they were satisfied with the contents. Fifty-three percent (n = 15) responded that the LITE toolkit would improve the way they care for patients. Sixty-six percent (n = 15) of health care workers and staff strongly agreed the LITE toolkit was applicable to their job role. CONCLUSIONS AND IMPLICATIONS: Providing useful and acceptable LGBTQ+-focused training and education for members of the SNF community addresses the need for health care worker and staff training to foster equitable care and inclusive environments for the LGBTQ+ older adult community. Additional work focused on understanding the facilitators and barriers to using the LITE toolkit in the SNF setting is needed.

A feasibility assessment of a traumatic brain injury predictive modelling tool at Kilimanjaro Christian Medical Center and Duke University Hospital.

Traumatic brain injury (TBI) is the most common cause of death and disability globally. TBI, which disproportionately affects low middle-income countries (LMIC), uses significant amounts of health system resources in costly care and management. Innovative solutions are required to address this high burden of TBI. One possible solution is prognostic models which enhance diagnostic ability of physicians, thereby helping to tailor treatments more effectively. This study aims to evaluate the feasibility of a TBI prognostic model developed in Tanzania for use by Kilimanjaro Christian Medical Center (KCMC) healthcare providers and Duke-affiliated healthcare providers using human centered design methodology. Duke participants were included to gain insight from a different context with more established practices to inform the TBI tool implementation strategy at KCMC. To evaluate the feasibility of integrating the TBI tool into potential workflows, co-design interviews were conducted with emergency physicians and nursing staff at KCMC and Duke. Qualitatively, the TBI tool was assessed using human centered design (HCD) techniques. Our research design methods were created using the Consolidated Framework for Implementation Research which considers overarching characteristics of successful implementation to contribute to theory development and verification of implementation strategies across multiple contexts. Our knowledge translation method was guided using the knowledge-to-action framework. Of the 21 participants interviewed, 12 were associated with Duke Hospital, and 9 from Kilimanjaro Christian Medical Centre. Emerging from the data were 6 themes that impacted the implementation of the TBI tool: access, barriers, facilitators, use of the TBI tool, outer setting, and inner setting. To our knowledge, this is the first study to investigate the pre-implementation of a sub-Saharan Africa (SSA) data- based TBI prediction tool using human centered design methodology. Findings of this study will aid in determining under what conditions a TBI prognostic model intervention will work at KCMC.