Do cannabis use disorders increase medication non-compliance in schizophrenia? United States Nationwide inpatient cross-sectional study

Rikinkumar S. Patel, Venkatesh Sreeram, Ramu Vadukapuram, Raman Baweja

Research output: Contribution to journalArticlepeer-review

Abstract

Objectives: This study aims to find the prevalence of medication non-compliance among schizophrenia inpatients and to compare the relative risks of medication non-compliance with cannabis use disorders (CUDs) versus without CUDs. In addition, this study also examines the odds of medication non-compliance in schizophrenia inpatients with CUDs. Methods: This is a retrospective cross-sectional analysis of the nationwide inpatient sample. This sample includes 1,030,949 inpatients (age 18 to 65 years) from 2010 to 2014 with primary ICD-9 diagnoses of schizophrenia and other psychotic disorders, that were further sub grouped based on medication non-compliance. CUDs were recognized using the ICD-9 codes. Results: The prevalence of medication non-compliance was 26% among schizophrenia inpatients. Multivariable analysis revealed that CUD comorbidity was a significant risk factor for medication non-compliance among schizophrenia patients when unadjusted (OR 1.49, 95%CI 1.469–1.503), and association remained significant even after adjusting for covariates (adjusted OR 1.38, 95%CI 1.268–1.489). Comorbid CUD was seen in young adults (18–35 years, 62.4%), males (80.5%), African Americans (54.1%) and low-income families below 25th percentile (48.6%) with personality disorders (10.5%). Conclusion: Medication compliance is a challenge among schizophrenia patients, which has a significant adverse impact on the course of illness. CUD Comorbidity increases the risk of medication non-compliance significantly among schizophrenia patients. In addition to case management, an integrated treatment model to address both substance use disorders and psychosis will translate into better long-term outcomes in schizophrenia patients.

Original languageEnglish (US)
Pages (from-to)40-44
Number of pages5
JournalSchizophrenia Research
Volume224
DOIs
StatePublished - Oct 2020

All Science Journal Classification (ASJC) codes

  • Psychiatry and Mental health
  • Biological Psychiatry

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