A real-world data analysis of electronic health records to investigate the associations of predominant negative symptoms with healthcare resource utilisation, costs and treatment patterns among patients with schizophrenia

Autor: Rashmi Patel, Carole Dembek, Yida Won, Aditi Kadakia, Xueyan Huang, Courtney Zeni, Andrei Pikalov
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: BMJ Open, Vol 14, Iss 7 (2024)
Druh dokumentu: article
ISSN: 2044-6055
DOI: 10.1136/bmjopen-2024-084613
Popis: Objectives Negative symptoms in schizophrenia are associated with significant illness burden. We sought to investigate clinical outcomes for patients with schizophrenia who present with predominant negative symptoms (PNS) vs without PNS.Design Retrospective analysis of electronic health record (EHR) data.Setting 25 US providers of mental healthcare.Participants 4444 adults with schizophrenia receiving care between 1999 and 2020.Exposure PNS defined as ≥3 negative symptoms and ≤3 positive symptoms recorded in EHR data at the time of the first recorded schizophrenia diagnosis (index date). Symptom data were ascertained using natural language processing applied to semistructured free text records documenting the mental state examination. A matched sample (1:1) of patients without PNS was used to compare outcomes. Follow-up data were obtained up to 12 months following the index date.Primary outcome measure Mean number of psychiatric hospital admissions.Secondary outcome measures Mean number of outpatient visits, estimated treatment costs, Clinical Global Impression – Severity score and antipsychotic treatments (12 months before and after index date).Results 360 (8%) patients had PNS and 4084 (92%) did not have PNS. Patients with PNS were younger (36.4 vs 39.7 years, p
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