Process evaluation of appreciative inquiry to translate pain management evidence into pediatric nursing practice.

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' because it was positive, democratic, and built on existing practices. Several barriers affected their implementation of the action plan, including a context of change overload, logistics, busyness, and a lack of organised follow-up. CONCLUSIONS: Results of this case study supported the acceptability, fidelity, and feasibility of AI as a KT intervention in pain management. The AI intervention requires minor refinements (e.g., incorporating continued follow-up meetings) to enhance its clinical utility and sustainability. The implementation process and effectiveness of the modified AI intervention require evaluation in a larger multisite study.

An interfaculty pain curriculum: lessons learned from six years experience.

Minimal pain content has been documented in pre-licensure curricula and students lack important pain knowledge at graduation. To address this problem, we have implemented and evaluated a mandatory Interfaculty Pain Curriculum (IPC) yearly since 2002 for students (N=817 in 2007) from six Health Science Faculties/Departments. The 20-h pain curriculum continues to involve students from Dentistry, Medicine, Nursing, Pharmacy, Physical Therapy, and Occupational Therapy as part of their 2nd or 3rd year program. Evaluation methods based on Kirkpatrick's model now include evaluation of a Comprehensive Pain Management Plan along with the previously used Pain Knowledge and Beliefs Questionnaire (PKPQ) and Daily Content and Process Questionnaires (DCPQ). Important lessons have been learned and subsequent changes made in this iterative curriculum design based on extensive evaluation over the 6-year period. Modifications have included case development more relevant to the diverse student groups, learning contexts that are uni-, inter-, and multi-professional, and facilitator development in working with interprofessional student groups. PKBQ scores have improved in all years with a statistically significant average change on correct responses from 14% to 17%. The DCPQ responses have also indicated consistently that most students (85-95%) rated highly the patient panel, expert-lead clinically focused sessions, and small interprofessional groups. Relevancy and organization of the information presented have been generally rated highly from 80.3% to 91.2%. This curriculum continues to be a unique and valuable learning opportunity as we utilize lessons learned from extensive evaluation to move the pain agenda forward with pre-licensure health science students.

Examining Appreciative Inquiry as a knowledge translation intervention in pain management.

Despite a solid evidence base for pain management, pain is not always well managed in practice. Interventions to implement pain management evidence need to be shifted from a focus on individual characteristics to knowledge translation strategies that are grounded in theory and attend to the organizational context and social dimension of translating evidence into practice. The authors examine Appreciative Inquiry (AI) as an innovative knowledge translation intervention in the area of pain management in nursing. Their aims are to advance the current state of knowledge translation interventions in pain management and to examine the usefulness of potential interventions based on their congruence with theory. The theory and practice of AI are compared to the concept of knowledge translation and the elements of the Promoting Action on Research Implementation in Health Services framework. Discussion is grounded in pain management in nursing.

Systematic review of the psychometric properties, interpretability and feasibility of self-report pain intensity measures for use in clinical trials in children and adolescents.

The aim of this study was to systematically review the psychometric properties, interpretability and feasibility of self-report pain intensity measures for children and adolescents for use in clinical trials evaluating pain treatments. Databases were searched for self-report measures of single-item ratings of pain intensity for children aged 3-18 years. A total of 34 single-item self-report measures were found. The measures' psychometric properties, interpretability and feasibility, were evaluated independently by two investigators according to a set of psychometric criteria. Six single-item measures met the a priori criteria and were included in the final analysis. While these six scales were determined as psychometrically sound and show evidence of responsivity, they had varying degrees of interpretability and feasibility. No single scale was found to be optimal for use with all types of pain or across the developmental age span. Specific recommendations regarding the most psychometrically sound and feasible measures based on age/developmental level and type of pain are discussed. Future research is needed to strengthen the measurement of pain in clinical trials with children.

The costs children incur during treatment for cancer: a neglected area in theory and research.

This article argues that the costs children incur during treatment for cancer should be rendered visible. As economic agents, children expend time, engage in productive work and participate in activities. Each of these aspects of daily life can be affected by cancer and/or its therapy and can be considered costs of illness. This article challenges researchers to consider eliciting children's views and assessments of these costs to illustrate more fully the impact of cancer on children and their childhoods. The resulting findings will provide a more accurate account of the social and economic costs incurred by families over the course of children's treatment trajectories. Ultimately, such information could be used to lobby for changes which would improve the life circumstances of children and their families.