Protocol for assessing the determinants of preoperative test-ordering behaviour for low-risk surgical procedures using a theoretically driven, qualitative design

Barriers to reducing preoperative testing for low-risk surgical procedures: A qualitative assessment guided by the Theoretical Domains Framework

INTRODUCTION

While numerous guidelines do not recommend preoperative tests for low risk patients undergoing low risk surgeries, they are often routinely performed. Canadian data suggests preoperative tests (e.g. ECGs and chest x-rays) preceded 17.9%-35.5% of low-risk procedures. Translating guidelines into clinical practice can be challenging and it is important to understand what is driving behaviour when developing interventions to change it.

AIM

Thus, we completed a theory-based investigation of the perceived barriers and enablers to reducing unnecessary preoperative tests for low-risk surgical procedures in Newfoundland, Canada.

METHOD

We used snowball sampling to recruit surgeons, anaesthesiologists, or preoperative clinic nurses. Interviews were conducted by two researchers using an interview guide with 31 questions based on the theoretical domains framework. Data was transcribed and coded into the 14 theoretical domains and then themes were identified for each domain.

RESULTS

We interviewed 17 surgeons, anaesthesiologists, or preoperative clinic nurses with 1 to 34 years' experience. Overall, while respondents agreed with the guidelines they described several factors, across seven relevant theoretical domains, that influence whether tests are ordered. The most common included uncertainty about who is responsible for test ordering, inability to access patient records or to consult/communicate with colleagues about ordering decisions and worry about surgery delays/cancellation if tests are not ordered. Other factors included workplace norms that conflicted with guidelines and concerns about missing something serious or litigation. In terms of enablers, respondents believed that clear institutional guidelines including who is responsible for test ordering and information about the risk of missing something serious, supported by improved communication between those involved in the ordering process and periodic evaluation will reduce any unnecessary preoperative testing.

CONCLUSION

These findings suggest that both health system and health provider factors need to be addressed in an intervention to reduce pre-operative testing.

Changing Health-Related Behaviors 3: Lessons from Implementation Science

Health-related behavior change refers to a body of behavior change strategies that aim to align people's behavior with advances in evidence-based knowledge and decision-making. However, human behavior is complex, and changing it often requires a combination of strategies to be effective. The challenge is in choosing the combination of strategies that will work best. Implementation science, the study of behavior change, has rapidly expanded in recent years and has pioneered work in providing more transparent and theory-based methods for choosing and evaluating behavior change strategies. There are several models and frameworks that underlie the science of implementation, the most recent and comprehensive of which include the Implementation of Change Model, the COM-B (capability, motivation, and behavior) Model, and the Theoretical Domains Framework, as well as the behavior change techniques (BCTs) taxonomy. These models and frameworks can be applied to help support the development and evaluation of behavior change interventions. In this chapter, we will review the latest advances and lessons learned from implementation science as it applies to health-related behavior change.