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|Title: ||Appreciative Inquiry: An Interactive Organizational Intervention to Translate Acute Pain Management Evidence into Pediatric Nursing Practice|
|Authors: ||Kavanagh, Patricia|
|Advisor: ||Stevens, Bonnie|
|Department: ||Nursing Science|
|Keywords: ||knowledge translation|
|Issue Date: ||13-Aug-2010|
|Abstract: ||Despite a substantial evidence-base for pediatric pain management, pain is not always well managed in clinical practice. Appreciative Inquiry (AI) is an innovative knowledge translation (KT) intervention that is compatible with the Promoting Action on Research in Health Services (PARiHS) framework. A prospective, repeated-measures, mixed-methods case study was conducted to (a) explore the implementation process of AI as a KT intervention in pain, (b) examine the beginning effects of AI on pain related outcomes, and (c) describe extraneous factors related to the PARiHS framework. Outcomes were measured at six and three weeks pre-intervention and three and six months post-intervention, ending with a semi-structured interview on the acceptability of the intervention. Data were analyzed using descriptive and inferential statistics, and quantitative and qualitative content analyses.
Twelve nurses (nine staff and three administrative/clinical leaders) from a surgical unit at a pediatric hospital participated in the study. They perceived their context to be relatively complex, with a culture focused on clinical competence, family-centered care, and teamwork, and a transformational leadership style. Overall, participants were satisfied with the intervention structure, which consisted of four three-hour, interactive sessions delivered over two weeks to promote change based on positive examples of pain management on the unit, and suggested only minor refinements. The intervention was delivered with high fidelity and most participants (n = 11) attended all four sessions, where they developed an action plan to enhance evidence-based pain assessment documentation. There was a statistically significant improvement in participants’ pain knowledge and attitudes post-intervention. This outcome was significantly and positively correlated with participants’ attitudes towards research. Both of these factors had a significant relationship with participants’ effort to document pain assessments. Participants named AI a ‘refreshing approach to change’ because it was positive and democratic, with a focus on building on existing practices. They felt the process cultivated a positive reception to change, broadened their horizons around pain, and enhanced their team spirit. The facilitators were considered credible with effective communication skills. Given the promising results of this study, the refinement and evaluation of the AI intervention are warranted in other contexts and for other clinical practices.|
|Appears in Collections:||Doctoral|
Lawrence S Bloomberg Faculty of Nursing - Doctoral theses
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