Differential effects of healthcare worker burnout on psychotropic medication use and misuse by occupational level.

PURPOSE: Burnout has been well examined among physicians and other high-wage, high-autonomy healthcare positions. However, lower-wage healthcare workers with less workplace autonomy (e.g., medical assistants, nurses' aides) represent a substantial proportion of the workforce, but remain understudied. We aimed to examine the effects of burnout on psychotropic medication use and misuse and whether these effects differed by occupational level. METHODS: In March 2022, we collected data from a diverse sample of US healthcare workers (N = 200) and examined the cross-sectional relationship between burnout and changes in prescribed psychotropic medication (i.e., starting, stopping, and/or having a change in the dose/frequency) during the COVID-19 pandemic. We also separately examined the relationship between burnout and psychotropic medication misuse (i.e., without a prescription, in greater amounts, more often, longer than prescribed, and/or for a reason other than prescribed). We stratified models by occupational level (prescribers/healthcare administrators vs. other healthcare workers). RESULTS: Greater burnout was associated with higher odds of changes in prescribed psychotropic medication among prescribers/healthcare administrators (aOR = 1.23, 95% CI 1.01, 1.48), but not among other healthcare workers (aOR = 1.04, 95% CI 0.98, 1.10). Greater burnout was not associated with psychotropic medication misuse among prescribers/healthcare administrators (aOR = 0.96, 95% CI 0.82, 1.12) but was associated with increased odds of psychotropic medication misuse among other healthcare workers (aOR = 1.07, 95% CI 1.01, 1.14). CONCLUSIONS: Potential disparities in help-seeking and healthcare access might manifest in non-medical use of prescription drugs among some healthcare workers, which has implications for worker safety and well-being.

National trends in psychotropic medication prescribing before and during the COVID-19 pandemic.

The early months of the COVID-19 pandemic saw a decline in psychotropic medication use; however, little is known about how this trend evolved as the pandemic progressed and how it varied across different payers in the United States. Using a national multi-payer pharmacy claims database and adopting a quasi-experimental research design, this study examines trends in psychotropic medication prescriptions dispensed from July 2018 - June 2022. The study finds that the number of patients with dispensed psychotropic medications and the number of psychotropic medications dispensed declined during the early months of the pandemic but experienced a statistically significant growth in later periods compared to the pre-pandemic rate. Average days supply of psychotropic medications dispensed increased significantly throughout the pandemic. Commercial insurance remained the primary payer for psychotropic medication during the pandemic, but there was a significant increase in the number of prescription fills covered under Medicaid. This implies that public insurance programs played an increasing role in financing psychotropic medication use during the COVID-19 pandemic.

Impact of the COVID-19 pandemic on the consumption patterns of psychotropic drugs and predictors of limited access to medication.

Background: Despite the efforts of the health system to improve access to medications during the coronavirus disease of 2019 (COVID-19) pandemic, such as online consultations, encouraging generic prescriptions, and other measures to limit the storage of medication, psychotropic patients faced significant challenges in accessing their medications. Objectives: This study aimed (1) to compare the consumption of psychotropics before and during the pandemic, (2) to assess the association between having difficulties finding the medications and the general characteristics of the patients, and (3) to assess the predictors of these difficulties. Design: A case-control study was performed in which 128 patients (cases) were recruited during the pandemic (July-October 2021), and 256 patients (controls) using psychotropics before the pandemic were matched for age and sex. Methods: Data were collected using a uniform survey given to patients using psychotropics and filled out at their time and place preferences. Results: More patients used antipsychotics and anti-anxiety medications before the pandemic, while antidepressants were used more during the pandemic. Almost half of the patients reported facing difficulties finding their medications in both time frames. Before the pandemic, these difficulties were noted per increase in age and being employed and were less faced if patients had medical assistance or lived in the north of Lebanon. However, more patients reported having difficulties accessing their medication during the pandemic, with no significant differences. Conclusion: The consumption of psychotropic drugs was higher among cases. All patients faced challenges in accessing their medication throughout the pandemic, while older and employed patients had more limitations before the pandemic. Further investigations exploring viable solutions are recommended in order to maintain sustainable access to treatment.

Primary care visits due to mental health problems and use of psychotropic medication during the COVID-19 pandemic in Finnish adolescents and young adults.

BACKGROUND: Social restrictions due to COVID-19 have impacted the everyday life of adolescents and young adults, with increased levels of stress and anxiety being reported. Therefore, we report primary care visits due to mental health problems and the use of psychotropic medication in Finland. METHODS: We conducted a nationwide register-based study and included primary care visits with mental health problems (F*-class ICD-10 diagnosis) for patients aged 15-24 years. We calculated incidence for visits and used incidence rate ratios (IRR) for comparisons. Psychotropic medication purchases for patients aged 13-24 years were included. Annual psychotropic medication user prevalence per 1000 was calculated and prevalence rate ratios (PRR) with 95% confidence intervals (CI) were used for comparisons. The years 2020 and 2021 were compared to the pre-pandemic reference year 2019. RESULTS: A total of 396534 visits to primary care due to mental health problems were included. Annual visit incidences per 1000 were 151.7 in 2019, 193.6 in 2020, and 306.7 in 2021, indicating a 28% (IRR 1.28, CI 1.27-1.29) increase from 2019 to 2020 and a 102% (IRR 2.02, CI:2.01-2.04) increase from 2019 to 2021. Highest reported increases in 2020 were sleeping disorders (IRR 1.79, CI 1.72-1.87) and anxiety disorders (IRR 1.39, CI 1.37-1.42). Prevalence of antidepressant use increased by 25% (PRR 1.25, CI 1.23-1.26) in 2021. An increase was also seen in the use of antipsychotics (+ 19%, PRR 1.19. CI 1.16-1.21). CONCLUSIONS: The COVID-19 pandemic increased the need for mental health services and medication among Finnish adolescents and young adults. Our health care system needs the capacity to manage the increased number of visits, and we must be better prepared for future crises.

Mental health consequences of the COVID-19 pandemic: Results from a large-scale population-based study in Israel.

INTRODUCTION: Contemporary evidence notes the COVID-19 pandemic greatly impacted the utilization of physical and mental health services worldwide. The present study was therefore designed to evaluate the changes in the utilization of mental health services during the first year of the COVID-19 pandemic compared to previous years as well as to estimate the moderating role age had on these changes. MATERIALS AND METHODS: Psychiatric data was collected from n = 928,044 individuals living in Israel. Rates of receipt of psychiatric diagnoses and purchases of psychotropic medication were extracted for the first year of the COVID-19 pandemic and for two comparison years. The odds of receiving a diagnosis or of purchasing a psychotropic medication during the pandemic were compared to control years using uncontrolled logistic regression models and controlled and logistic regression that accounted for differences between ages. RESULTS: There was a general reduction of about 3-17% in the odds of receiving a psychiatric diagnosis or purchasing psychotropic medications during the pandemic year compared to control years. The bulk of tests conducted showed that reduction in the rates of receiving diagnoses and purchasing medications during the pandemic were evident or more profound in the older age groups. An analysis of a combined measure conclusive of all other measures revealed decreased rates of utilizing any service examined during 2020, with rates decreasing as age increases up to a decrease of 25% in the oldest age group (80-96). DISCUSSION AND CONCLUSION: Changes in utilization of mental health services reveal the interplay between psychological distress that has been documented to increase during the pandemic and people's reluctance to seek professional assistance. This appears to be especially prominent among the vulnerable elderly, who may have received even less professional help for their emerging distress. The results obtained in Israel are likely to be replicated in other countries as well, given the global impact of the pandemic on adults' mental health and individuals' readiness to utilize mental healthcare services. Future research on the long-term impact of the pandemic on utilization of mental healthcare services is warranted, with an emphasis on the response of different populations to emergency situations.

Association between use of psychotropic medications prior to SARS-COV-2 infection and trajectories of COVID-19 recovery: Findings from the prospective Predi-COVID cohort study.

Psychological disturbances are frequent following COVID-19. However, there is not much information about whether pre-existing psychological disorders are associated with the severity and evolution of COVID-19. We aimed to explore the associations between regular psychotropic medication use (PM) before infection as a proxy for mood or anxiety disorders with COVID-19 recovery trajectories. We used data from the Predi-COVID study. We followed adults, tested positive for SARS-CoV-2 and collected demographics, clinical characteristics, comorbidities and daily symptoms 14 days after inclusion. We calculated a score based on 16 symptoms and modeled latent class trajectories. We performed polynomial logistic regression with PM as primary exposure and the different trajectories as outcome. We included 791 participants, 51% were men, and 5.3% reported regular PM before infection. We identified four trajectories characterizing recovery dynamics: "Almost asymptomatic," "Quick recovery," "Slow recovery," and "Persisting symptoms". With a fully adjusted model for age, sex, socioeconomic, lifestyle and comorbidity, we observed associations between PM with the risks of being in more severe trajectories than "Almost Asymptomatic": "Quick recovery" (relative risk (95% confidence intervals) 3.1 (2.7, 3.4), "Slow recovery" 5.2 (3.0, 9.2), and "Persisting symptoms"11.7 (6.9, 19.6) trajectories. We observed a gradient of risk between PM before the infection and the risk of slow or no recovery in the first 14 days. These results suggest that a pre-existing psychological condition increases the risk of a poorer evolution of COVID-19 and may increase the risk of Long COVID. Our findings can help to personalize the care of people with COVID-19.

Actionable Predictive Factors of Homelessness in a Psychiatric Population: Results from the REHABase Cohort Using a Machine Learning Approach.

BACKGROUND: There is a lack of knowledge regarding the actionable key predictive factors of homelessness in psychiatric populations. Therefore, we used a machine learning model to explore the REHABase database (for rehabilitation database-n = 3416), which is a cohort of users referred to French psychosocial rehabilitation centers in France. METHODS: First, we analyzed whether the different risk factors previously associated with homelessness in mental health were also significant risk factors in the REHABase. In the second step, we used unbiased classification and regression trees to determine the key predictors of homelessness. Post hoc analyses were performed to examine the importance of the predictors and to explore the impact of cognitive factors among the participants. RESULTS: &nbsp;First, risk factors that were previously found to be associated with homelessness were also significant risk factors in the REHABase. Among all the variables studied with a machine learning approach, the most robust variable in terms of predictive value was the nature of the psychotropic medication (sex/sex relative mean predictor importance: 22.8, σ = 3.4). Post hoc analyses revealed that first-generation antipsychotics (15.61%; p < 0.05 FDR corrected), loxapine (16.57%; p < 0.05 FWER corrected) and hypnotics (17.56%; p < 0.05 FWER corrected) were significantly associated with homelessness. Antidepressant medication was associated with a protective effect against housing deprivation (9.21%; p < 0.05 FWER corrected). CONCLUSIONS: Psychotropic medication was found to be an important predictor of homelessness in our REHABase cohort, particularly loxapine and hypnotics. On the other hand, the putative protective effect of antidepressants confirms the need for systematic screening of depression and anxiety in the homeless population.

Psychotropic medication prescribing trends in a developmental-behavioural clinic during the COVID-19 pandemic.

AIM: Psychotropic medication prescribing among children with developmental-behavioural and mental health problems appears to be rising globally. We aim to examine the effects of the COVID-19 pandemic and rapid introduction of telehealth consultations on the prescribing trends and medication change in a large paediatric public hospital developmental-behavioural outpatient service. METHODS: Data for developmental-behavioural outpatient encounters from 23 March 2019 to 22 March 2021 were extracted from the electronic medical record; representing the 12 months following the conversion to telehealth consultations during the onset of COVID-19 pandemic and the 12 months prior to this change. Excel and Statistical Package for the Social Sciences were used to calculate percentages and logistic regression to compare psychotropic prescribing trends during both periods. RESULTS: During the pandemic, there were a total of 3201 encounters (92.0% telehealth), compared with 2759 encounters (1.6% telehealth) during the previous year. Despite the higher number of encounters during the pandemic, the rates of encounters with psychotropic medication prescriptions reduced compared to the previous 12 months (19.8% vs. 29.3%). Prescriptions made during COVID-19 were more likely to be provided at review visits, patients ≥12 years and during consultant led encounters. The reduction in prescriptions involved both new and follow-up psychotropic medications. The majority of follow-up medication dosages were left unchanged. CONCLUSIONS: Psychotropic prescribing rates were lower during the COVID-19 pandemic. Fewer new medications were commenced and most medication dosages were unchanged.

Psychotropic Medication Use Is Associated With Greater 1-Year Incidence of Dementia After COVID-19 Hospitalization.

Background: COVID-19 has been associated with an increased risk of incident dementia (post-COVID dementia). Establishing additional risk markers may help identify at-risk individuals and guide clinical decision-making. Methods: We investigated pre-COVID psychotropic medication use (exposure) and 1-year incidence of dementia (outcome) in 1,755 patients (≥65 years) hospitalized with COVID-19. Logistic regression models were used to examine the association, adjusting for demographic and clinical variables. For further confirmation, we applied the Least Absolute Shrinkage and Selection Operator (LASSO) regression and a machine learning (Random Forest) algorithm. Results: One-year incidence rate of post-COVID dementia was 12.7% (N = 223). Pre-COVID psychotropic medications (OR = 2.7, 95% CI: 1.8-4.0, P < 0.001) and delirium (OR = 3.0, 95% CI: 1.9-4.6, P < 0.001) were significantly associated with greater 1-year incidence of post-COVID dementia. The association between psychotropic medications and incident dementia remained robust when the analysis was restricted to the 423 patients with at least one documented neurological or psychiatric diagnosis at the time of COVID-19 admission (OR = 3.09, 95% CI: 1.5-6.6, P = 0.002). Across different drug classes, antipsychotics (OR = 2.8, 95% CI: 1.7-4.4, P < 0.001) and mood stabilizers/anticonvulsants (OR = 2.4, 95% CI: 1.39-4.02, P = 0.001) displayed the greatest association with post-COVID dementia. The association of psychotropic medication with dementia was further confirmed with Random Forest and LASSO analysis. Conclusion: Confirming prior studies we observed a high dementia incidence in older patients after COVID-19 hospitalization. Pre-COVID psychotropic medications were associated with higher risk of incident dementia. Psychotropic medications may be risk markers that signify neuropsychiatric symptoms during prodromal dementia, and not mutually exclusive, contribute to post-COVID dementia.

Impact of the COVID-19 Pandemic on the General Mental Health in Sweden: No Observed Changes in the Dispensed Amount of Common Psychotropic Medications in the Region of Scania.

Some first investigations have focused on the consequences of the COVID-19 pandemic for the general mental health after its outbreak in 2020. According to multiple self-reporting surveys, symptoms of stress, anxiety, and depression have risen worldwide. Even some studies based on health care records start to be published, providing more objective and statistically reliable results. Additionally, concerns have been raised, to what extend the access to mental health care has been compromised by the COVID-19 outbreak. The aim of this study was to detect changes in prescription trends of common psychotropic medications in the Swedish region of Scania. The monthly dispensed amounts of selected pharmaceuticals were compared from January 2018 until January 2021, regarding the prescription trends before and after the outbreak of COVID-19. Using an interrupted time series analysis for each medication, no general trend changes were observed. On the one hand, a possible deterioration of the general mental health could not be confirmed by these results. On the other hand, the access to mental health care did not seem to be impaired by the pandemic. When interpreting findings related to the COVID-19 pandemic, regional differences and country-specific approaches for coping with the pandemic should be considered. The Swedish population, for instance, never experienced a full "lock-down" and within Sweden the time point of the outbreak waves differed regionally. In general, the effects of the COVID-19 outbreak on mental health are still unclear and need to be investigated further in an international comparison.

Psychiatric Adverse Drug Reactions and Potential Anti-COVID-19 Drug Interactions with Psychotropic Medications.

Coronavirus disease 2019 (COVID-19) management in patients with predisposing psychiatric disorders would be challenging due to potential drug-drug interactions (PDDIs) and precipitation of their disease severity. Furthermore, COVID-19 itself might precipitate or induce unpredicted psychiatry and neuropsychiatry complications in these patients. In this literature review study, the psychological impacts of COVID-19 and major psychiatric adverse drug reactions (ADRs) of COVID-19 treatment options have been discussed. A detailed Table has been provided to assess potential drug-drug interactions of COVID-19 treatment options with psychotropic medications to avoid unwanted major drug-drug interactions. Finally, potential mechanisms of these major drug-drug interactions and possible management of them have been summarized. The most common type of major PDDIs is pharmacokinetics. Hydroxychloroquine/chloroquine and lopinavir/ritonavir were the most involved anti-COVID-19 agents in these major PDDIs.

Initiation of psychotropic medication in hospitalized patients with COVID-19: Association with clinical and biological characteristics.

INTRODUCTION: Inpatients with coronavirus disease 2019 (COVID-19) show a high rate of neuropsychiatric manifestations, possibly related to a higher risk of serious illness or death. Use of psychotropic medications (PMs) indicates the presence of neuropsychiatric symptoms in COVID-19 patients. So far, potential clinical predictors of use of PMs have not been much investigated. In order to extend research in this area, we aimed to investigate the prevalence of PM prescription among a sample of inpatients with COVID-19 and to find potential predictors of initiation of PMs in these individuals. METHODS: This is a cross-sectional single-center study, conducted during the first outbreak peak in a hospital of northern Italy. Information on socio-demographic characteristics, comorbidities, routine blood test, use of potential COVID-19 treatments, and length of stay were retrieved from medical records. RESULTS: Data were available for 151 inpatients. Forty-seven of them (31.1%) started at least one prescription of a PM. PM prescription was significantly inversely associated with lymphocyte and platelet counts. A significant association was also found for lactate dehydrogenase (LDH). CONCLUSION: Our findings suggest that the initiation of PMs could be common among COVID-19 inpatients. Lymphocyte and platelet counts as well as LDH levels may reflect neuropsychiatric complications of COVID-19.