Primary Care Providers' Perspectives on Using Automated HIV Risk Prediction Models to Identify Potential Candidates for Pre-exposure Prophylaxis
Authors
van den Berg, PollyPowell, Victoria E
Wilson, Ira B
Klompas, Michael
Mayer, Kenneth
Krakower, Douglas S
UMass Chan Affiliations
T.H. Chan School of MedicineDocument Type
Journal ArticlePublication Date
2021-04-02
Metadata
Show full item recordAbstract
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.Source
van den Berg P, Powell VE, Wilson IB, Klompas M, Mayer K, Krakower DS. Primary Care Providers' Perspectives on Using Automated HIV Risk Prediction Models to Identify Potential Candidates for Pre-exposure Prophylaxis. AIDS Behav. 2021 Nov;25(11):3651-3657. doi: 10.1007/s10461-021-03252-6. Epub 2021 Apr 2. PMID: 33797668; PMCID: PMC8631042.DOI
10.1007/s10461-021-03252-6Permanent Link to this Item
http://hdl.handle.net/20.500.14038/51688PubMed ID
33797668Rights
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.ae974a485f413a2113503eed53cd6c53
10.1007/s10461-021-03252-6