Primary Care Providers’ Perspectives on Using Automated HIV Risk Prediction Models to Identify Potential Candidates for Pre-exposure Prophylaxis

Details

• Alternative Title:
  AIDS Behav
• Personal Author:
  van den Berg, Polly ; Powell, Victoria E. ; Wilson, Ira B. ; Klompas, Michael ; Mayer, Kenneth ; Krakower, Douglas S.
• Description:
  Identifying patients at increased risk for HIV acquisition can be challenging. Primary care providers (PCPs) may benefit from tools that help them identify appropriate candidates for HIV pre-exposure prophylaxis (PrEP). We and others have previously developed and validated HIV risk prediction models to identify PrEP candidates using electronic health records data. In the current study, we convened focus groups with PCPs to elicit their perspectives on using prediction models to identify PrEP candidates in clinical practice. PCPs were receptive to using prediction models to identify PrEP candidates. PCPs believed that models could facilitate patient-provider communication about HIV risk, destigmatize and standardize HIV risk assessments, help patients accurately perceive their risk, and identify PrEP candidates who might otherwise be missed. However, PCPs had concerns about patients' reactions to having their medical records searched, harms from potential breaches in confidentiality, and the accuracy of model predictions. Interest in clinical decision-support for PrEP was greatest among PrEP-inexperienced providers. Successful implementation of prediction models will require tailoring them to providers' preferences and addressing concerns about their use.
• Keywords:
  Anti-HIV Agents Decision Support Health Knowledge, Attitudes, Practice Health Personnel HIV Infections HIV Prevention Humans Pre-exposure Prophylaxis Primary Care Primary Health Care Qualitative Research

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• Source:
  AIDS Behav. 25(11):3651-3657
• Pubmed ID:
  33797668
• Pubmed Central ID:
  PMC8631042
• Document Type:
  Journal Article
• Funding:
  U54GM11567/Rhode Island IDeA-CTR/ ; SSuN, CDC-RFA-PS13-1306/US Centers for Disease Control and Prevention through the STD Surveillance Network/ ; P30 AI060354/AI/NIAID NIH HHSUnited States/ ; U54 GM115677/GM/NIGMS NIH HHSUnited States/ ; H25 PS004253/PS/NCHHSTP CDC HHSUnited States/ ; K23 MH098795/MH/NIMH NIH HHSUnited States/ ; P30 AI042853/AI/NIAID NIH HHSUnited States/
• Volume:
  25
• Issue:
  11
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:01b5dbf580035e1f29bf419372329647a42c572b05ed7064d70ac1b1c9054d4b
• Download URL:
  https://stacks.cdc.gov/view/cdc/112150/cdc_112150_DS1.pdf
• File Type:
  [PDF - 67.10 KB ]