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PURPOSE: This study investigated sex and age differences in patterns of psychotropic medication use before and after the initial diagnosis of Cluster B personality disorders (PDs) and analyzed trends over time. METHODS: Analyzing data from the Quebec Integrated Chronic Disease Surveillance System for individuals newly diagnosed with Cluster B PD (≥ 14 years) between 2002 and 2018 and under the provincial public drug plan, we calculated yearly and monthly proportions of individuals exposed to psychotropic medications during the year before and after their diagnosis by sex and age. Robust Poisson regression models assessed the association between sex and exposure to psychotropic medications after the diagnosis of Cluster B PD. RESULTS: Among 87,778 individuals with a first Cluster B PD diagnosis (mean age: 44.5 years; 57.5% women), the proportion of users increased post-diagnosis. Notably, after diagnosis, females were more likely to receive psychiatric medications (between 78.9% and 83.7% during the study period vs. 72.8% and 76.8%). Males were less likely than females to receive antidepressants (adjusted prevalence ratio (aPR): 0.83; 99% confidence interval (CI): 0.82-0.85) and anxiolytics (aPR: 0.86; 99%CI: 0.84-0.88), whereas they had higher exposure to antipsychotics (aPR: 1.04; 99%CI: 1.02-1.06) and ADHD medications (aPR: 1.14; 99%CI: 1.07-1.2). Age-specific trends showed increased ADHD medication use among younger patients (14-24 years), and anxiolytic use predominated in those aged ≥ 65 years. CONCLUSIONS: Psychotropic medication use was high among Cluster B PD patients, with differences in medication classes according to age and sex. The marked sex and age differences in psychotropic medication use among Cluster B PD patients underscore the need for a sex-sensitive and age-specific approach in psychiatric care.
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Background: Cluster B personality disorders (PDs) are considered some of the most severe mental health conditions. Scarce evidence exists about the real-world utilization of psychotropics for cluster B PD individuals. Objective: We aimed to uncover trends and patterns of psychotropic medication use among individuals diagnosed with cluster B PD in the year before and after their diagnosis and to identify factors associated with medication use in a large cohort of individuals newly diagnosed with cluster B PDs. Methods: We conducted a population-based observational study using Quebec's health services register. We identified Quebec residents aged ≥14 years and insured with the provincial drug plan with a first diagnosis of cluster B PD recorded between April 1, 2002, and March 31, 2019. Cluster B PD was defined with ICD-9/10 diagnostic codes. We retrieved all claims for the main psychotropic medication classes: antipsychotics, antidepressants, anxiolytics, mood stabilizers, and attention-deficit/hyperactivity disorder (ADHD) medications. We calculated the proportion of individuals exposed to these medication classes and analyzed trends over the years using robust Poisson regression models, adjusting for potential confounders. We used robust Poisson regression to identify factors associated with medication class use. Results: We identified 87,778 new cases of cluster B PD, with a mean age of 44.5 years; 57.5% were women. Most frequent psychiatric comorbidities in the five years before cluster B PD diagnosis were depression (50.9%), anxiety (49.7%), and psychotic disorders (37.5%). Most individuals (71.0%) received at least one psychotropic during the year before cluster B PD diagnosis, and 78.5% received at least one of these medications in the subsequent year. The proportion of users increased after the diagnosis for antidepressants (51.6-54.7%), antipsychotics (35.9-45.2%), mood stabilizers (14.8-17.0%), and ADHD medications (5.1-5.9%), and remained relatively stable for anxiolytics (41.4-41.7%). Trends over time showed statistically significant increased use of antipsychotics and ADHD medications, decreased use of anxiolytics and mood stabilizers, and a stable use of antidepressants. Conclusion: Psychotropic medication use is highly prevalent among cluster B PD individuals. We observed an increase in medication use in the months following the diagnosis, particularly for antipsychotics, antidepressants, and mood stabilizers.
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INTRODUCTION: Antidepressant drugs are the most frequently prescribed medication for mental disorders. They are also used off-label and for non-psychiatric indications. Prescriptions of antidepressants have increased in the last decades, but no systematic review exists on the extent of their use in the community. METHODS AND ANALYSIS: We will conduct a systematic review to estimate the prevalence of antidepressant use in the community. We will search for studies published from 1 January 2010 in the Embase and MEDLINE databases using a combination of controlled vocabulary and keywords adjusted for each database without any language restriction. The main inclusion criterion is the presence of prevalence data of antidepressant utilization. Thus, we will include all studies with a descriptive observational design reporting the prevalence of antidepressant use in the community. Study selection (by title/abstract and full-text screening) and data extraction for included studies will be independently conducted by pairs of reviewers. We will then synthesize the data on the prevalence of antidepressant use in individuals living in the community. If possible, we will perform a meta-analysis to generate prevalence-pooled estimates. If the data allows it, we will conduct subgroup analyses by antidepressant class, age, sex, country and other sociodemographic categories. We will evaluate the risk of bias for each included study through a quality assessment using the Joanna Briggs Institute Critical Appraisal tool: Checklist for Studies Reporting Prevalence Data. DistillerSR software will be used for the management of this review. ETHICS AND DISSEMINATION: Ethical approval is not required for this review as it will not directly involve human or animal subjects. The findings of our systematic review will be disseminated through publications in peer-reviewed journals, the Qualaxia Network (https://qualaxia.org), presentations at international conferences on mental health and pharmacoepidemiology, as well as general public events. PROSPERO REGISTRATION NUMBER: CRD42021247423.