Purpose: Diabetes self-management behaviors are necessary to obtain optimum glycemic control, reduce the risk of complications, and improve health outcomes. The COVID-19 pandemic imposes an additional struggle for self-management by diabetes patients. Although previous studies have reported socio-demographic, behavioral, psychological, and cultural barriers to diabetes self-management, little is known about perceived barriers to diabetes self-management among patients during isolation following their recovery from COVID-19. The purpose of this study was to explore perceived barriers among type 2 diabetes patients during isolation following their recovery from COVID-19. Patients and Methods: A qualitative, exploratory, and descriptive research design was utilized. Semi-structured telephonic interviews were conducted with 12 patients with diabetes who had been discharged from one COVID-19 designated hospital and underwent isolation in the designated facilities in Wuhan City, Hubei Province, China. Data were analyzed using Colaizzi's seven steps. Results: Barriers to diabetes self-management identified by patients with diabetes during isolation were categorized into five major themes: inadequate knowledge and behavioral beliefs, shortage of resources, suffering from health problems, negative emotions, and lack of support. Conclusion: Perceived barriers to diabetes self-management described by diabetes patients indicated a lack of environmental resources and support strategies to meet their needs. Efforts to remove barriers are important in assisting patients with diabetes to improve their quality of life and health outcomes.
Point your SmartPhone at the code above. If you have a QR code reader the video abstract will appear. Or use: https://youtu.be/yyCI1tbp6vkPurpose: This study aimed to identify risk factors associated with adverse events in residential aged care facilities in China.Patients and Methods: After compiling a list of risk factors for adverse events generated from in-depth interviews with managers of residential aged care facilities, a three-round Delphi method was used to reach consensus. The synthesized risk factors were presented on a Likert scale to the expert panelists three times to validate their responses.Results: The list identified 67 items as risk factors for adverse events, attached to four firstlevel indexes (ie, environmental facility, nursing staff, older adults' characteristics, and management factors). The experts' authority coefficient was 0.87. The positive coefficients were 82.76%, 91.67%, and 100%, and the coordination coefficients were 0.154, 0.297, and 0.313 in the first, second, and third rounds, respectively. Conclusion: Using a Delphi method, this study established a consensus on risk factors contributing to adverse events and developed a risk assessment grade for use in future aged care practice and research. The resulting list is useful in prioritizing risk-reduction activities and assessing intervention or education strategies for preventing adverse events in residential aged care facilities. Impact: This study fills the gap in risk identification in the Chinese residential aged care system to ensure provision of best-practice care to this vulnerable population. Nursing staff and management factors at the top of the list are not only the most common causes of adverse events but also the core elements in creating a secure and error-free environment. This list was intended to support predictive and prevention-oriented decision-making by managers and nursing supervisors to reduce preventable adverse events.
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