Đang chuẩn bị liên kết để tải về tài liệu:
báo cáo khoa học: "Process evaluation of appreciative inquiry to translate pain management evidence into pediatric nursing practice"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành y học dành cho các bạn tham khảo đề tài: Process evaluation of appreciative inquiry to translate pain management evidence into pediatric nursing practice | Kavanagh et al. Implementation Science 2010 5 90 http www.implementationscience.eom content 5 1 90 Implementation Science IMPLEMENTATION SCIENCE RESEARCH ARTICLE Open Access Process evaluation of appreciative inquiry to translate pain management evidence into pediatric nursing practice 1.2 1.2.3 f 4f 5f 1 f Tricia Kavanagh 1 Bonnie Stevens1 f Kate Seers Souraya Sidani Judy Watt-Watson 1 Abstract Background Appreciative inquiry AI is an innovative knowledge translation KT intervention that is compatible with the Promoting Action on Research in Health Services PARiHS framework. This study explored the innovative use of AI as a theoretically based KT intervention applied to a clinical issue in an inpatient pediatric care setting. The implementation of AI was explored in terms of its acceptability fidelity and feasibility as a KT intervention in pain management. Methods A mixed-methods case study design was used. The case was a surgical unit in a pediatric academic-affiliated hospital. The sample consisted of nurses in leadership positions and staff nurses interested in the study. Data on the AI intervention implementation were collected by digitally recording the AI sessions maintaining logs and conducting individual semistructured interviews. Data were analysed using qualitative and quantitative content analyses and descriptive statistics. Findings were triangulated in the discussion. Results Three nurse leaders and nine staff members participated in the study. Participants were generally satisfied with the intervention which consisted of four 3-hour interactive AI sessions delivered over two weeks to promote change based on positive examples of pain management in the unit and staff implementation of an action plan. The AI sessions were delivered with high fidelity and 11 of 12 participants attended all four sessions where they developed an action plan to enhance evidence-based pain assessment documentation. Participants labeled AI a refreshing approach to change .