Factors influencing variation in physician adenoma detection rates: a theory-based approach for performance improvement

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• 作者：Louise Atkins ; PhD¹ ; Enid M. Hunkeler ; MA² ; Christopher D. Jensen ; PhD ; MPH² ; ; Susan Michie ; PhD¹ ; Jeffrey K. Lee ; MD ; MAS² ; Chyke A. Doubeni ; MD ; MPH³ ; Ann G. Zauber ; PhD⁴ ; Theodore R. Levin ; MD² ; Virginia P. Quinn ; PhD ; MPH⁵ ; Douglas A. Corley ; MD ; PhD²
• 关键词：ADR ; adenoma detection rate ; COM-B model ; Capability ; Opportunity ; and Motivation behavior model
• 刊名：Gastrointestinal Endoscopy
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：83
• 期：3
• 页码：617-626.e2
• 全文大小：563 K

文摘

Interventions to improve physician adenoma detection rates for colonoscopy have generally not been successful, and there are little data on the factors contributing to variation that may be appropriate targets for intervention. We sought to identify factors that may influence variation in detection rates by using theory-based tools for understanding behavior.

Methods

We separately studied gastroenterologists and endoscopy nurses at 3 Kaiser Permanente Northern California medical centers to identify potentially modifiable factors relevant to physician adenoma detection rate variability by using structured group interviews (focus groups) and theory-based tools for understanding behavior and eliciting behavior change: the Capability, Opportunity, and Motivation behavior model; the Theoretical Domains Framework; and the Behavior Change Wheel.

Results

Nine factors potentially associated with adenoma detection rate variability were identified, including 6 related to capability (uncertainty about which types of polyps to remove, style of endoscopy team leadership, compromised ability to focus during an examination due to distractions, examination technique during withdrawal, difficulty detecting certain types of adenomas, and examiner fatigue and pain), 2 related to opportunity (perceived pressure due to the number of examinations expected per shift and social pressure to finish examinations before scheduled breaks or the end of a shift), and 1 related to motivation (valuing a meticulous examination as the top priority). Examples of potential intervention strategies are provided.

Conclusions

By using theory-based tools, this study identified several novel and potentially modifiable factors relating to capability, opportunity, and motivation that may contribute to adenoma detection rate variability and be appropriate targets for future intervention trials.