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Instant Gratification as a Method to Promote Physician Practice Guideline Adherence: A Systematic Review
Neha Deo1, Emily Johnson2, Kaushik Kancharla3
1Medicine, Mayo Clinic Alix School of Medicine, Rochester, USA.
Abstract:
Inadequate adherence to best practice guidelines may have a negative impact on the processes of critical care and patient outcomes. Instant gratification has been used to modify human behavior in industries such as gaming, lottery, and social media. We hypothesize that, if properly and purposefully utilized, IG can become a successful tool for encouraging best practice guideline adherence among critical care providers. Four major databases were searched with a medial librarian. Covidence application was used to identify studies pertaining to the instant gratification being used to improve provider adherence with best practice guidelines. A total of 712 studies were identified, and, through duplicates removal, title and abstract screening, and full-text screening, a total of 13 studies were included in the final review. The exclusion criteria used included the following: no provider gratification, wrong focus/intervention, wrong study design, patient-focused intervention, not generalizable, and no conclusion. There is a knowledge gap regarding instant gratification utilization to influence practice guideline adherence among providers. The intervention functions of the Behavior Change Wheel (BCW) were evident, especially 'persuasion' and 'incentivization', which are most pertinent to our field. The restorative process that promotes positive reinforcement can be a potential solution for alleviating inadequacies in guideline adherence. Examining interventions based on functions of the BCW has shown that an instant gratification process may have the potential in altering critical care providers' behavior and improving guideline adherence. This review is the first step towards creating smart algorithms to instantly alert providers for their actions compliant with best practices. Developing, testing, and validating the algorithms will be the next several steps.
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