Sex differences in schizophrenia-spectrum diagnoses: results from a 30-year health record registry.

This study investigated sociodemographic and clinical differences between the sexes in individuals affected by schizophrenia-spectrum disorders (SSD) who accessed outpatient mental health services. Within a retrospective cohort of 45,361 outpatients receiving care in Ferrara (Italy) from 1991 to 2021, those with a SSD diagnosis were compared between the sexes for sociodemographic and clinical characteristics before and after the index date (when the ICD-9: 295.*diagnosis was first recorded) to assess early trajectory, age and type of diagnosis, and severity of illness indicated by medication use, hospitalization, and duration of psychiatric care. Predictors of discharge were also investigated. Among 2439 patients, 1191 were women (48.8%). Compared to men, women were significantly older at first visit (43.7 vs. 36.8 years) and at index date (47.8 vs. 40.6) with peak frequency at age 48 (vs. 30). The most frequent last diagnosis recorded before the index date was delusional disorder (27.7%) or personality disorder (24.3%) in men and depression (24%) and delusional disorder (30.1%) in women. After the index date, long-acting antipsychotics and clozapine were more frequently prescribed to men (46.5% vs. 36.3%; 13.2% vs. 9.4%, p < 0.05) and mood stabilizers and antidepressants to women (24.3% vs. 21.1%; 50.1% vs. 35.5%; p < 0.05). Women had fewer involuntary admissions (10.1% vs. 13.6%) and were more likely to be discharged as the time under care increased (p = 0.009). After adjusting for covariates, sex was not a significant predictor of discharge. Our study confirmed that sex differences exist in clinical and sociodemographic characteristics of outpatients with SSD and that gender considerations might influence the rapidity of diagnosis and medications prescribed. These findings highlight the need to implement a women-tailored approach in specialist care programs for psychoses.

First episode psychoses in people over-35 years old: uncovering potential actionable targets for early intervention services.

The traditional youth-oriented design of Early Intervention Services (EIS) may lead to the exclusion of patients who have their psychotic onset later in life. A retrospective study was conducted to compare first-episode psychosis (FEP) patients who accessed treatment when aged ≤ 35 years with those ≥36+. A total of 854 patients were identified among 46,222 individuals who had access to community psychiatric services from 1991 to 2021. FEP were aged 18-65, received care between 2012 and 2021 and had a diagnosis of affective or non-affective FEP. Two groups were identified (FEP diagnosed at age ≤ 35 vs ≥ 36) and compared for sociodemographic and clinical characteristics. Most patients were diagnosed when aged ≥ 36+ (61.8%). Compared to the ≤ 35 group, older patients were more likely to be women, married and diagnosed with affective psychosis, and they were less frequently hospitalized. Long-acting injectables antipsychotics (LAI) were less frequently prescribed in the ≥ 36+ group, whereas antidepressants were more frequently prescribed compared to those aged ≤ 35. In both age groups, women were less frequently prescribed LAIs compared to men. These findings highlight the need to reorient EIS to accommodate the needs of older FEP, especially women.

Establishment of a Public Mental Health Database for Research Purposes in the Ferrara Province: Development and Preliminary Evaluation Study.

Background: The immediate use of data exported from electronic health records (EHRs) for research is often limited by the necessity to transform data elements into an actual data set. Objective: This paper describes the methodology for establishing a data set that originated from an EHR registry that included clinical, health service, and sociodemographic information. Methods: The Extract, Transform, Load process was applied to raw data collected at the Integrated Department of Mental Health and Pathological Addictions in Ferrara, Italy, from 1925 to February 18, 2021, to build the new, anonymized Ferrara-Psychiatry (FEPSY) database. Information collected before the first EHR was implemented (ie, in 1991) was excluded. An unsupervised cluster analysis was performed to identify patient subgroups to support the proof of concept. Results: The FEPSY database included 3,861,432 records on 46,222 patients. Since 1991, each year, a median of 1404 (IQR 1117.5-1757.7) patients had newly accessed care, and a median of 7300 (IQR 6109.5-9397.5) patients were actively receiving care. Among 38,022 patients with a mental disorder, 2 clusters were identified; the first predominantly included male patients who were aged 25 to 34 years at first presentation and were living with their parents, and the second predominantly included female patients who were aged 35 to 44 years and were living with their own families. Conclusions: The process for building the FEPSY database proved to be robust and replicable with similar health care data, even when they were not originally conceived for research purposes. The FEPSY database will enable future in-depth analyses regarding the epidemiology and social determinants of mental disorders, access to mental health care, and resource utilization.