Detecting schizophrenia early: Prediagnosis healthcare utilization characteristics of patients with schizophrenia may aid early detection.


Journal

Schizophrenia research
ISSN: 1573-2509
Titre abrégé: Schizophr Res
Pays: Netherlands
ID NLM: 8804207

Informations de publication

Date de publication:
01 2020
Historique:
received: 27 11 2018
revised: 01 07 2019
accepted: 05 08 2019
pubmed: 5 9 2019
medline: 20 1 2021
entrez: 5 9 2019
Statut: ppublish

Résumé

Many patients exhibit subsyndromal clinical findings of schizophrenia prior to diagnosis. Early treatment may mitigate schizophrenia development, yet little is known about comorbidities and healthcare resource utilization (HCRU) in these patients before diagnosis. This retrospective, longitudinal cohort study, conducted between January 1, 2007 and April 30, 2016, used claims data from the US HealthCore Integrated Research Database. Newly diagnosed patients with schizophrenia (International Classification of Diseases, Ninth Revision: 295.x or ICD 10 F20.%) were identified and matched (1:4) with non-schizophrenia comparators. Patients were 15-54 years of age with either ≥1 inpatient/emergency room claim with a primary schizophrenia diagnosis, or ≥2 claims in any setting with any schizophrenia diagnosis. Demographics, comorbidities, physician specialties, medications, and related services, and other HCRU were compared between cohorts for up to 5 years before diagnosis. The schizophrenia cohort included 6732 patients (57.4% male, mean age 30.3 years for males and 36.2 years for females). All outcomes were more prevalent in the schizophrenia cohort than the comparator cohort. Substantial comorbidity, medication use, and HCRU were observed in the schizophrenia cohort even 4-5 years before diagnosis with increasing findings approaching diagnosis. From 4-5 years to 0-12 months before diagnosis, resource use increased from 20.5% to 53.3% for atypical antipsychotics, 29.3% to 48.2% for antidepressants, and 15.1% to 35.5% for psychiatric diagnostic examinations. Patients with schizophrenia extensively use healthcare resources up to 5 years before diagnosis. Our findings may help with developing predictive models to identify patients at high risk of schizophrenia.

Identifiants

pubmed: 31481337
pii: S0920-9964(19)30352-4
doi: 10.1016/j.schres.2019.08.011
pii:
doi:

Substances chimiques

Antidepressive Agents 0
Antipsychotic Agents 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

392-398

Informations de copyright

Copyright © 2019. Published by Elsevier B.V.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors met the criteria for authorship as recommended by the International Committee of Medical Journal Editors. Three of the authors (M Sidovar, JF-E, and M Sand) are employees of Boehringer Ingelheim Pharmaceuticals, Inc., but received no direct compensation related to the development of this paper. WY, and JB are employees of HealthCore Inc. AW and M Shinde were employees of HealthCore Inc., at the time of study. KI is an employee of ANTHEM Inc. AW, JB, M Shinde, and KI own ANTHEM stock.

Auteurs

Anna Wallace (A)

HealthCore, Inc., 123 Justison Street, Suite 200, Wilmington, DE 19801, USA.

Keith Isenberg (K)

Anthem Inc., 1831 Chestnut Street, Saint Louis, MO 63103, USA; Washington University School of Medicine, Department of Psychiatry, 660 S. Euclid Ave., St Louis, MO 63110, USA. Electronic address: Keith.Isenberg2@bcbsmo.com.

Whitney York (W)

HealthCore, Inc., 123 Justison Street, Suite 200, Wilmington, DE 19801, USA.

Mayura Shinde (M)

Harvard Pilgrim HealthCare, 401 Park Drive, Suite 401A, Boston, MA 01778, USA.

John Barron (J)

HealthCore, Inc., 123 Justison Street, Suite 200, Wilmington, DE 19801, USA. Electronic address: JBarron@healthcore.com.

Jessica Franchino-Elder (J)

Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT 06877, USA. Electronic address: jessica.franchino-elder@boehringer-ingelheim.com.

Michael Sand (M)

Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT 06877, USA. Electronic address: michael.sand@boehringer-ingelheim.com.

Matthew Sidovar (M)

Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT 06877, USA. Electronic address: matthew.sidovar@boehringer-ingelheim.com.

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