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Published Online: 19 March 2024

Racial Disparities in Clozapine Prescription Patterns Among Patients With Schizophrenia

Abstract

Objective:

Previous research has suggested that demographic factors affect the likelihood of a patient with schizophrenia receiving a clozapine prescription. The authors aimed to determine the impact of race, social determinants of health, gender, rurality, and care patterns on clozapine prescription rates.

Methods:

This cross-sectional observational study used structured electronic health records data from 3,160 adult patients diagnosed as having schizophrenia between October 1, 2015, and November 30, 2021, in a multifacility health system. The social vulnerability index (SVI) was used to quantify social determinants of health. Descriptive data analysis, logistic regression, and sensitivity analysis were conducted to identify differences between patients with schizophrenia who received a clozapine prescription and those who received antipsychotic medications other than clozapine.

Results:

Overall, 401 patients with schizophrenia were given a clozapine prescription during the study period, and 2,456 received antipsychotics other than clozapine. Results of the logistic regression indicated that White race (OR=1.71, compared with Black race), community minority status and language SVI score (OR=2.97), and increased treatment duration (OR=1.36) were significantly associated with a higher likelihood of clozapine prescription; gender, rurality, age at first diagnosis, and ethnicity did not influence the likelihood of receiving clozapine.

Conclusions:

Black patients with schizophrenia had a lower likelihood of receiving a clozapine prescription compared with White patients, even after analyses accounted for demographic variables, social determinants of health, and care access patterns. Given the effectiveness of clozapine in managing treatment-resistant schizophrenia, it is crucial for future research to better understand the factors contributing to this treatment disparity.

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Supplementary Material

File (appi.ps.20230226.ds001.pdf)

Information & Authors

Information

Published In

Go to Psychiatric Services
Go to Psychiatric Services
Psychiatric Services
Pages: 733 - 739
PubMed: 38500451

History

Received: 13 May 2023
Revision received: 25 August 2023
Revision received: 21 December 2023
Accepted: 28 December 2023
Published online: 19 March 2024
Published in print: August 01, 2024

Keywords

  1. Electronic health record
  2. Racial-ethnic disparities
  3. Schizophrenia
  4. Antipsychotics
  5. Clozapine
  6. Treatment-resistant schizophrenia

Authors

Affiliations

Spenser Barry, B.S.
Department of Psychology, University of North Carolina Wilmington, Wilmington (Barry); Carolina Health Informatics Program (Torpunuri) and Department of Biostatistics (Wu), University of North Carolina at Chapel Hill, Chapel Hill; North Carolina Psychiatric Research Center (Jarskog, Zeng) and Mental Health Informatics and Analytics Core (Xia, Zeng), Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill.
L. Fredrik Jarskog, M.D.
Department of Psychology, University of North Carolina Wilmington, Wilmington (Barry); Carolina Health Informatics Program (Torpunuri) and Department of Biostatistics (Wu), University of North Carolina at Chapel Hill, Chapel Hill; North Carolina Psychiatric Research Center (Jarskog, Zeng) and Mental Health Informatics and Analytics Core (Xia, Zeng), Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill.
Kai Xia, Ph.D.
Department of Psychology, University of North Carolina Wilmington, Wilmington (Barry); Carolina Health Informatics Program (Torpunuri) and Department of Biostatistics (Wu), University of North Carolina at Chapel Hill, Chapel Hill; North Carolina Psychiatric Research Center (Jarskog, Zeng) and Mental Health Informatics and Analytics Core (Xia, Zeng), Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill.
Rohit Simha Torpunuri, B.Tech.
Department of Psychology, University of North Carolina Wilmington, Wilmington (Barry); Carolina Health Informatics Program (Torpunuri) and Department of Biostatistics (Wu), University of North Carolina at Chapel Hill, Chapel Hill; North Carolina Psychiatric Research Center (Jarskog, Zeng) and Mental Health Informatics and Analytics Core (Xia, Zeng), Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill.
Xiaoyu Wu, B.S.
Department of Psychology, University of North Carolina Wilmington, Wilmington (Barry); Carolina Health Informatics Program (Torpunuri) and Department of Biostatistics (Wu), University of North Carolina at Chapel Hill, Chapel Hill; North Carolina Psychiatric Research Center (Jarskog, Zeng) and Mental Health Informatics and Analytics Core (Xia, Zeng), Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill.
Xiaoming Zeng, M.D., Ph.D. [email protected]
Department of Psychology, University of North Carolina Wilmington, Wilmington (Barry); Carolina Health Informatics Program (Torpunuri) and Department of Biostatistics (Wu), University of North Carolina at Chapel Hill, Chapel Hill; North Carolina Psychiatric Research Center (Jarskog, Zeng) and Mental Health Informatics and Analytics Core (Xia, Zeng), Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill.

Notes

Send correspondence to Dr. Zeng ([email protected]).

Competing Interests

Dr. Jarskog reports receiving research grant funding from Boehringer-Ingelheim, Corcept Therapeutics, and Otsuka and serving as a consultant to UpToDate and Signant Health. The other authors report no financial relationships with commercial interests.

Funding Information

This work was supported by a 2021 grant from the Foundation of Hope.

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