Developing a questionnaire to evaluate an automated audit & feedback intervention: a Rand-modified Delphi method

Abstract

Abstract Background Audit and feedback (A&F) is a widely used implementation strategy to evaluate and improve medical practice. The optimal design of an A&F system is uncertain and structured process evaluations are currently lacking. This study aimed to develop and validate a questionnaire to evaluate the use of automated A&F systems. Methods Based on the Clinical Performance Feedback Intervention Theory (CP-FIT) and the REFLECT-52 (REassessing audit & Feedback interventions: a tooL for Evaluating Compliance with suggested besT practices) evaluation tool a questionnaire was designed for the purpose of evaluating automated A&F systems. A Rand-modified Delphi method was used to develop the process evaluation and obtain validation. Fourteen experts from different domains in primary care consented to participate and individually scored the questions on a 9-point Likert scale. Afterwards, the questions were discussed in a consensus meeting. After approval, the final questionnaire was compiled. Results A 34-question questionnaire composed of 57 items was developed and presented to the expert panel. The consensus meeting resulted in a selection of 31 questions, subdivided into 43 items. A final list of 30 questions consisting of 42 items was obtained. Conclusion A questionnaire consisting of 30 questions was drawn up for the assessment and improvement of automated A&F systems, based on CP-FIT and REFLECT-52 theory and approved by experts. Next steps will be piloting and implementation of the questionnaire.