Racial and ethnic disparities in prior authorizations for patients with cancer.
Journal
The American journal of managed care
ISSN: 1936-2692
Titre abrégé: Am J Manag Care
Pays: United States
ID NLM: 9613960
Informations de publication
Date de publication:
Oct 2024
Oct 2024
Historique:
medline:
28
10
2024
pubmed:
28
10
2024
entrez:
28
10
2024
Statut:
ppublish
Résumé
Prior authorization is used to ensure providers treat patients with medically accepted treatments. Our objective was to evaluate prior authorization decisions in cancer care by race/ethnicity for commercially insured patients. Retrospective study of 18,041 patients diagnosed with cancer between January 1, 2017, and April 1, 2020. Using commercial longitudinal data from a large national insurer, we described the racial and ethnic composition in terms of prior authorization process outcomes for individuals diagnosed with cancer. We then used linear regression models to evaluate whether disparities by race or ethnicity emerged in prior authorization process outcomes. The self-identified composition of the sample was 85% White, 3% Asian, 10% Black, and 1% Hispanic; 64% were female, and the mean age was 53 years. The average prior authorization denial rate was 10%, and the denial rate specifically due to no medical necessity was 5%. Hispanic patients had the highest prior authorization denial rate (12%), and Black patients had the lowest prior authorization denial rate (8%). Regressions results did not identify racial or ethnic disparities in prior authorization outcomes for Black and Hispanic patients compared with White patients. We observed that Asian patients had lower rates of prior authorization denials compared with White patients. We observed no differences in the prior authorization process for Black and Hispanic patients with cancer and higher rates of prior authorization approvals for Asian patients compared with White patients.
Identifiants
pubmed: 39467179
pii: 89618
doi: 10.37765/ajmc.2024.89618
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM