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Nurse Anesthesia Diversion Prevention: A Knowledge and Needs Gap Analysis.

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Substance misuse is a significant issue for anesthesia providers. A needs assessment revealed varying risk perceptions, suggesting tailored interventions are crucial for effective drug diversion prevention programs for nurse anesthetists.

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Area of Science:

  • Occupational Health
  • Addiction Medicine
  • Healthcare Quality Improvement

Background:

  • Substance misuse and drug diversion pose significant occupational health challenges for anesthesia providers (APs).
  • Over 10% of nurse anesthetists engage in medication misuse and diversion.
  • A lack of standardized protocols exists for addressing drug diversion among APs.

Purpose of the Study:

  • To assess knowledge and needs related to substance misuse and diversion among anesthesia providers.
  • To inform the development of a targeted drug diversion prevention program for certified registered nurse anesthetists (CRNAs) and student registered nurse anesthetists (SRNAs).

Main Methods:

  • A 28-item questionnaire was developed based on the Health Belief Model (HBM) and Risk Perception Attitude (RPA) framework.
  • The survey assessed knowledge, beliefs, and practices concerning substance misuse and diversion.
  • Results were analyzed and categorized using the RPA framework to understand provider risk perception and intervention efficacy beliefs.

Main Results:

  • 112 surveys were completed by CRNAs and SRNAs.
  • 52.5% of CRNAs fell into the RPA avoidant category (high perceived risk, low perceived efficacy).
  • SRNAs were primarily categorized as RPA responsive (high risk, high efficacy) or indifferent (low risk, low efficacy).

Conclusions:

  • Anesthesia providers exhibit diverse beliefs regarding drug misuse risks and the effectiveness of prevention strategies.
  • Addressing the specific needs of nurse anesthetists through tailored diversion prevention is essential.
  • Implementing RPA-tailored interventions can lead to effective, long-term outcomes in preventing drug diversion within the anesthesia profession.