Dataset Information

Psychotropic medication prescribing during the COVID-19 pandemic

ABSTRACT: Abstract This study examined changes in psychotropic medication use associated with the early months of the coronavirus disease 2019 (COVID-19) pandemic. Using Kaiser Permanente Northern California electronic health records, the authors identified adult patients with fills for psychotropic medications and a non-psychotropic comparator (statins) in the 13 weeks before and after the first-known COVID-19-related death in California (March 4, 2020). Generalized estimating equations were used to derive relative risk ratios (RRR) for medication fills compared with the prior year. Analyses were stratified by new and continued fills and patient characteristics. Among 2,405,824 patients, the mean (SD) age was 49.8 (17.9) years; 52.9% were female; 47.9% identified as White; 8.0% and 7.9% had anxiety and depression disorder diagnoses, respectively. Accounting for secular trends, in the 13 weeks following March 4, 2020, there were increased fills for trazodone (RRR = 1.03, 95% CI = 1.02, 1.04), decreased fills for benzodiazepines (RRR = 0.95, 95% CI = 0.94, 0.96) and hypnotics (RRR = 0.97, 95% CI = 0.96, 0.99), and stable fills for antidepressants (RRR = 1.00, 95% CI = 0.99, 1.00). Relative rates of new fills decreased across most medication classes and continued fills either remained stable or demonstrated non-clinically significant decreases. Patients aged ≥65 years demonstrated decreased fills for most medication classes. In the first 13 weeks of the COVID-19 pandemic, fills for most psychotropic medications remained constant or showed small changes relative to the previous year. Continued (compared with new) fills accounted for observed increases in some medication classes. Older adults demonstrated decreased fills of most medications.

SUBMITTER: Hirschtritt M

PROVIDER: S-EPMC8556031 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:IntroductionThe coronavirus disease 2019 (COVID-19) pandemic and subsequent restrictions on dental services have had a significant impact on the provision of dental care in Australia and around the world.ObjectivesTo investigate the impact of COVID-19 on medications prescribed by dentists under the Australian Pharmaceutical Benefits Scheme (PBS).MethodsData on the number of dental prescriptions dispensed for all medications listed on the PBS Dental Schedule, from January 2019 to June 2020, were extracted from publicly available data sets. Analysis of prescription trends was performed for 1) total medications, 2) each major medication class, and 3) individual medications. The number of prescriptions dispensed in each month from January 2020 to June 2020 was compared to the same month in 2019 to determine the relative (percentage) change, and z statistics were used to determine whether changes were statistically significant.ResultsThere was a significant decrease in dental prescriptions in April 2020 compared to April 2019 (14,785, 18%; P < 0.05). Decreases in prescriptions for antibiotics (10,512, 16%; P < 0.05) and opioid analgesics (3,129, 18%; P < 0.05) were smaller compared to other major medication classes. There was a significant increase in June 2020, compared with June 2019, for prescriptions of amoxicillin with clavulanic acid (4,903, 20%; P < 0.05), tramadol (89, 46%; P < 0.05), and oxycodone (381, 73%; P < 0.05).ConclusionDental service restrictions during COVID-19 likely drove an unmet need for routine dental treatment, which had significant implications for public oral health following easing of restrictions. During the initial surge and subsequent lockdown, antibiotics and opioid analgesics may have been used an as alternative to routine operative treatment. Continued professional guidance is required to ensure dental prescribing remains evidence based during the pandemic period.Knowledge transfer statementThe COVID-19 pandemic and subsequent restrictions on dental practice have had a profound impact on the provision of dental care in Australia and elsewhere in the world. In this context, population-level medication surveillance is important to identify and respond to changes in prescribing patterns that have arisen due to COVID-19 and restrictions on the provision of dental care. This research is particularly important for governments, regulators, and professional associations to ensure therapeutic guidelines and recommendations during the pandemic period remain relevant and evidence based.

Project description:Background: The coronavirus disease 2019 (COVID-19) pandemic and public health measures that took place have led to concerns regarding mental health and receipt of psychotropic medications. We aimed to study the changes in psychotropic medication dispensation rates before and during the COVID-19 pandemic in the general population. Methods: Administrative health data from the Canadian province of Manitoba was used to describe the quarterly incidence and prevalence of antipsychotics, antidepressants, and anxiolytic/sedative-hypnotics from January 1, 2015 to December 31, 2020. Individuals who received at least one prescription within each quarter were considered exposed to the medication. The denominator was the total population within each quarter. Incidence was defined as no receipt of medication in the 3 years prior to the quarter of interest. Autoregression models for time series data plus indicator variables were used to compare each quarter of 2020 after public health measures were implemented in March 2020 in relation to the expected trend. Analyses were stratified by age and sex. Results: There were 1,394,885 individuals in the first quarter of 2020, with a mean (SD) age of 38.9 (23.4) years, 50.3% were female, and 36.1% had a psychiatric diagnosis in the previous 5 years. A significant decrease was observed for incident antidepressant use (p < 0.05 for both sexes and all age groups except for those 65 years and older) and anxiolytic use (p < 0.05 for both sexes and all age groups except 80 years and older) in the second quarter (April-June) of 2020 compared to the expected trend. Females and those aged 40 years and older had a significantly higher incidence of antidepressant and antipsychotic use in the final quarter of 2020 compared to the expected trend (p < 0.05). Conclusion: Our findings indicate a decrease in new prescriptions for antidepressants and anxiolytics in the 3 months after COVID-19 in-person restrictions were first implemented. We then observed an increase in the new use of antidepressants and antipsychotics at the end of 2020, in females and people aged 40 years and older, with the highest rates of use in the population 80 years and older.

Project description:High but variable rates of psychotropic polypharmacy (PP) in youth with autism spectrum disorder (ASD) have been reported in previous studies. The effect of the COVID-19 pandemic on prescribing patterns has not been well described. This study aims to examine the factors associated with psychotropic prescribing patterns, including rates of PP and multiclass polypharmacy (MPP) in youth with ASD during the COVID-19 pandemic. We examined the prescription records and clinical characteristics of youth aged between 3-21 years with a clinical diagnosis of ASD who were followed at an urban tertiary autism center psychiatry clinic between 1 January 2019, and 31 December 2020. For study purposes, we treated 2019 as the pre-pandemic year and 2020 as the pandemic year and compared the clinical characteristics of the "total clinic cohort (n = 898)" across two years. We examined the clinical characteristics of patients seen in both years ("paired-sample," n = 473) and those seen only in 219 ("not-paired sample," n = 378) to identify factors associated with the likelihood of patients' return to clinic in 2020. As the total clinic cohort was a naturalistic sample containing duplicate patients, we created a separate data set by randomly assigning duplicate patients to one of the years ("random unique sample," n = 898) and examined the clinical characteristics across two years. We defined PP and MPP broadly as the use of ≥2 unique medications (PP) and ≥2 unique medication classes (MPP) within a calendar year in this study. In the total clinic cohort, increased rates of PP (71.6% to 75.6%), MPP (61.9% to 67.8%, p = 0.027), and antidepressant prescriptions (56.9% to 62.9%, p = 0.028) were noted, although only the latter two were nominally significant. The paired-sample had a higher proportion of teens (31.0% vs. 39.7%, p < 0.001 and persons who self-identified as non-Hispanic (77.8% vs. 85.4%, p = 0.016)), higher rates of anxiety (78.9% vs. 48.7%, p < 0.001), ADHD (71.0% vs. 44.4%, p < 0.001), depression (23.9% vs. 13.0%, p < 0.001) and disruptive behavior (63.3% vs. 33.3%, p < 0.001) diagnoses, higher rates of antidepressants (63.4% vs. 48.7%, p < 0.001), ADHD medications (72.5% vs. 59.8%, p < 0.001), and antipsychotics (36.8% vs. 26.2%, p < 0.001) prescribed, and higher rates of PP (81.6% vs. 59.0%, p < 0.001) and MPP (71.0% vs. 50.5%, p < 0.001) than the not-paired sample. In the random unique sample, the patient group assigned to 2020 had higher rates of anxiety (75.0% vs. 60.2%, p < 0.001), ADHD (69.9% vs. 54.6%, p < 0.001), and disruptive behavior (57.9% vs. 45.4%, p < 0.001) diagnoses but the PP and MPP rates did not differ across years. Overall, we found high rates of PP and MPP, likely due to the broader definition of PP and MPP used in this study than those in other studies as well as the study site being a tertiary clinic. While our study suggests a possible impact of the COVID-19 pandemic on comorbidity rates and prescribing patterns, a replication study is needed to confirm how pandemic-related factors impact prescribing patterns and polypharmacy rates in youth with ASD.

Dataset Information

Psychotropic medication prescribing during the COVID-19 pandemic

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets