Influence of prior authorization requirements on provider clinical decision-making

Am J Manag Care. 2023 Jul;29(7):331-337. doi: 10.37765/ajmc.2023.89394.

Abstract

Objectives: Prior authorization (PA) aims to promote the safe and effective use of medications and to control costs. However, PA-related administrative tasks can contribute to burden on health care providers. This study examines how such tasks affect treatment decisions.

Study design: Cross-sectional, online survey.

Methods: We conducted an online survey of US medical providers in 2020 based on a convenience sample of 100,000 providers. Multivariate path analysis was used to examine associations among provider practice characteristics, step therapy and other health plan requirements, perceived burdens of PA, communication issues with insurers, and prescribing behaviors (prescribing a different medication than planned, avoiding prescribing of newer medications even if evidence-based guideline recommendations are met, and modifying a diagnosis). Weighted analyses were conducted to assess nonresponse bias.

Results: A total of 1173 respondents (1.2% response rate) provided 1147 usable surveys. Step therapy requirements had the largest effect on clinical decision-making. Other significant effects on clinical decision-making included perceived PA likelihood, communication issues, and health plan requirements (eg, clinical documentation). Weighted analyses showed that the study conclusions were unlikely to have been biased by nonresponse.

Conclusions: Respondents report that they may alter clinical decisions to avoid PA requirements and related burdens, even in cases in which use of the PA medication was clinically appropriate. Processes that reduce the administrative burden of PA through improved communication and transparency as well as standardized documentation may help ensure that PA more seamlessly achieves its goals of safe and effective use of medications.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Clinical Decision-Making*
  • Costs and Cost Analysis
  • Cross-Sectional Studies
  • Humans
  • Prior Authorization*