JOURNAL ARTICLE

Assessing the impact of a payor-funded embedded clinical pharmacist on patient and provider satisfaction in a private primary care practice.

  • Published In: American Journal of Health-System Pharmacy, 2023, v. 80, n. 12. P. 742 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Gadd, Shannon; Cox, Nicholas; Slager, Stacey; Pinnock, Emily; Mitchell, Matthew; Turner, Kyle 3 of 3

Abstract

This article focuses on evaluating patient and provider satisfaction with an embedded clinical pharmacist delivering comprehensive medication management (CMM) in a private, physician-owned primary care clinic. Funded through a partnership with a third-party payor and a college of pharmacy, the pharmacist worked three days weekly to support providers and manage complex medication regimens. Patient surveys indicated high satisfaction, with most patients feeling more confident managing their medications and willing to recommend the pharmacist’s services. Providers also expressed overall satisfaction, valuing the pharmacist’s expertise, collaboration, and positive impact on managing cardiovascular risk factors in diabetic patients, though they noted uncertainty about how best to access and utilize the pharmacist’s services. The study highlights the potential benefits of integrating pharmacists into smaller clinical settings while identifying communication and utilization challenges that may be addressed through clearer guidelines and collaborative practice agreements.

Additional Information

  • Source:American Journal of Health-System Pharmacy. 2023/06, Vol. 80, Issue 12, p742
  • Document Type:Article
  • Subject Area:Consumer Health
  • Publication Date:2023
  • ISSN:1079-2082
  • DOI:10.1093/ajhp/zxad045
  • Accession Number:164199113
  • Copyright Statement:Copyright of American Journal of Health-System Pharmacy is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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