Mental Health Clinician (Apr 2022)

Best practice model for outpatient psychiatric pharmacy practice, part 2: Confirmation of the attribute statements

  • Kelly C. Lee, PharmD, MAS, BCPP,
  • Richard J. Silvia, PharmD, BCPP,
  • Gregory H. Payne, MBA,
  • Tera D. Moore, PharmD, BCACP,
  • Elayne D. Ansara, PharmD, BCPS, BCPP,
  • Clint A. Ross, PharmD, BCPP

DOI
https://doi.org/10.9740/mhc.2022.04.065
Journal volume & issue
Vol. 12, no. 2
pp. 65 – 76

Abstract

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Introduction: The American Association of Psychiatric Pharmacists (AAPP) used multiple modalities to develop and refine 28 attribute statements to describe a best practice model for outpatient psychiatric pharmacists. Before addressing implementation, assessment, and field testing, it was necessary to finalize and confirm the statements and their supporting narratives among stakeholders. The objective of this project was to confirm the attribute statements and supporting justifications for a best practice model for outpatient psychiatric pharmacists providing direct patient care. Methods: The 4 phases that resulted in the 28 attribute statements and supporting narratives have been described and published elsewhere. As part of phase 5, the confirmation survey was distributed to pharmacists and resident members of AAPP in November 2021 for 3 weeks. Results: The survey respondents (n = 74; 6.1%) were licensed pharmacists for an average of 15.6 years (SD = 12.0) and had been practicing as psychiatric pharmacists for an average of 11.3 years (SD = 10.4). Slightly more than half (54.2%) of the respondents reported practicing in the outpatient setting and three-fourths (74.3%) were Board Certified Psychiatric Pharmacists. For each of the 28 statements, more than 90% of respondents either agreed or agreed with minimal reservations. Discussion: Given the high degree of agreement on the proposed practice model statements, they will be used as the basis for the outpatient psychiatric pharmacist best practice model. Next steps in developing this model include establishing implementation guidance, determining appropriate metrics for evaluation of these statements in practice, and establishing appropriate field-testing methods.

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