Appreciative Inquiry for quality improvement in primary care practices.

PURPOSE: To test the effect of an Appreciative Inquiry (AI) quality improvement strategy on clinical quality management and practice development outcomes. Appreciative inquiry enables the discovery of shared motivations, envisioning a transformed future, and learning around the implementation of a change process. METHODS: Thirty diverse primary care practices were randomly assigned to receive an AI-based intervention focused on a practice-chosen topic and on improving preventive service delivery (PSD) rates. Medical-record review assessed change in PSD rates. Ethnographic field notes and observational checklist analysis used editing and immersion/crystallization methods to identify factors affecting intervention implementation and practice development outcomes. RESULTS: The PSD rates did not change. Field note analysis suggested that the intervention elicited core motivations, facilitated development of a shared vision, defined change objectives, and fostered respectful interactions. Practices most likely to implement the intervention or develop new practice capacities exhibited 1 or more of the following: support from key leader(s), a sense of urgency for change, a mission focused on serving patients, health care system and practice flexibility, and a history of constructive practice change. CONCLUSIONS: An AI approach and enabling practice conditions can lead to intervention implementation and practice development by connecting individual and practice strengths and motivations to the change objective.

Measuring practice capacity for change: a tool for guiding quality improvement in primary care settings.

PURPOSE: Capacity for change, or the ability and willingness to undertake change, is an organizational characteristic with potential to foster quality management in health care. We report on the development and psychometric properties of a quantitative measure of capacity for change for use in primary care settings. METHODS: Following review of previous conceptual and empirical studies, we generated 117 items that assessed organizational structure, climate, and culture. Using information from direct observation and key informant interviews, a research team member rated these items for 15 primary care practices engaged in a quality improvement intervention. Distributional statistics, pairwise correlation analysis, Rasch modeling, and item content review guided item reduction and instrument finalization. Reliability and convergent validity were assessed. RESULTS: Ninety-two items were removed because of limited response distributions and redundancy or because of poor Rasch model fit. The final instrument comprising 25 items had excellent reliability (alpha = .94). A Rasch model-derived capacity for change score correlated well with an independently determined, qualitatively derived summary assessment of each practice's capacity for change (rhoS = 0.82), suggesting good convergent validity. CONCLUSION: We describe a new instrument for quantifying organizational capacity for change in primary care settings. The ability to quantify capacity for change may enable better recognition of practices likely to be successful in their change efforts and those first requiring capacity building prior to change interventions.

An appreciative inquiry approach to practice improvement and transformative change in health care settings.

Amid tremendous changes and widespread dissatisfaction with the current health care system, many approaches to improve practice have emerged; however, their effects on quality of care have been disappointing. This article describes the application of a new approach to promote organizational improvement and transformation that is built upon collective goals and personal motivations, invites participation at all levels of the organization and connected community, and taps into latent creativity and energy. The essential elements of the appreciative inquiry (AI) process include identification of an appreciative topic and acting on this theme through 4 steps: Discovery, Dream, Design, and Destiny. We describe each step in detail and provide a case study example, drawn from a composite of practices, to highlight opportunities and challenges that may be encountered in applying AI. AI is a unique process that offers practice members an opportunity to reflect on the existing strengths within the practice, leads them to discover what is important, and builds a collective vision of the preferred future. New approaches such as AI have the potential to transform practices, improve patient care, and enhance individual and group motivation by changing the way participants think about, approach, and envision the future.