The effect of the March 2020 COVID‐19 lockdown on national psychiatric contacts in Denmark: An interrupted time series analysis

Hansen, Jens Peter; Sas, Tessa Quirina Bang; Fløjstrup, Marianne; Brabrand, Mikkel; Hvolby, Allan

doi:10.1002/brb3.2264

Cited by 13 publications

(15 citation statements)

References 24 publications

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“…Our data on AD use during the first lockdown appeared to be consistent with those reported in previous studies from Italy and other European countries that analysed mental health services access during the first lockdown [33][34][35][36]. The first COVID-19 outbreak has disrupted these services in most countries, especially during the first weeks of lockdown implementation.…”

Section: Discussionsupporting

confidence: 88%

Antidepressants Drug Use during COVID-19 Waves in the Tuscan General Population: An Interrupted Time-Series Analysis

Antonazzo

Fornari

Maumus-Robert

et al. 2022

JPM

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In Italy, during the COVID-19 waves two lockdowns were implemented to prevent virus diffusion in the general population. Data on antidepressant (AD) use in these periods are still scarce. This study aimed at exploring the impact of COVID-19 lockdowns on prevalence and incidence of antidepressant drug use in the general population. A population-based study using the healthcare administrative database of Tuscany was performed. We selected a dynamic cohort of subjects with at least one ADs dispensing from 1 January 2018 to 27 December 2020. The weekly prevalence and incidence of drug use were estimated across different segments: pre-lockdown (1 January 2018–8 March 2020), first lockdown (9 March 2020–15 June 2020), post-first lockdown (16 June 2020–15 November 2020) and second lockdown (16 November 2020–27 December 2020). An interrupted time-series analysis was used to assess the effect of lockdowns on the observed outcomes. Compared to the pre-lockdown we observed an abrupt reduction of ADs incidence (Incidence-Ratio: 0.82; 95% Confidence-Intervals: 0.74–0.91) and a slight weekly decrease of prevalence (Prevalence-Ratio: 0.997; 0.996–0.999). During the post-first lockdown AD use increased, with higher incidence- and similar prevalence values compared with those expected in the absence of the outbreak. This pandemic has impacted AD drug use in the general population with potential rebound effects during the period between waves. This calls for future studies aimed at exploring the mid–long term effects of this phenomenon.

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Section: Discussionsupporting

confidence: 88%

Antidepressants Drug Use during COVID-19 Waves in the Tuscan General Population: An Interrupted Time-Series Analysis

Antonazzo

Fornari

Maumus-Robert

et al. 2022

JPM

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“…However, recent studies of psychiatric emergency contacts show that regular out-patient contacts have decreased in all psychiatric patients since the pandemic, as a result of restricted face-to-face regulations, hinting at an non-selective decrease of admission rate for all psychiatric patients. 44 – 46 Finally, our results cannot be generalised to all other mental healthcare settings because of inherent differences in mental health service provision across the globe.…”

Section: Discussionmentioning

confidence: 86%

Impact of the first COVID-19 outbreak on mental health service utilisation at a Dutch mental health centre: retrospective observational study

et al. 2021

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Background Previous studies into mental health service utilisation during the COVID-19 pandemic are limited to a few countries or specific type of service. In addition, data on changes in telepsychiatry are currently lacking. Aims We aimed to investigate whether the COVID-19 pandemic is associated with changes in mental health service utilisation, including telepsychiatry, and how these changes were distributed among patients with mental illness during the first COVID-19 outbreak. Method This retrospective study obtained routinely assessed healthcare data from a large Dutch mental healthcare institute. Data from the second quarter of 2020 (the first COVID-19 outbreak period) were compared with the pre-pandemic period between January 2018 and March 2020. Time-series analyses were performed with the quasi-Poisson generalised linear model, to examine the effect of the COVID-19 lockdown and the overall trend of mental health service utilisation per communication modality and diagnostic category. Results We analysed 204 808 care contacts of 28 038 patients. The overall number of care contacts in the second quarter of 2020 remained the same as in the previous 2 years, because the number of video consultations significantly increased (B = 2.17, P = 0.488 × 10−3) as the number of face-to-face out-patient contacts significantly decreased (B = −0.98, P = 0.011). This was true for all different diagnostic categories, although this change was less pronounced in patients with psychotic disorders. Conclusions Diminished face-to-face out-patient contacts were well-compensated by the substantial increase of video consultations during the first COVID-19 outbreak in The Netherlands. This increase was less pronounced for psychotic disorders. Further research should elucidate the need for disorder-specific digital mental healthcare delivery.

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“…An interrupted time-series (ITS) design 43 – 45 at 95% confidence level was used, which provides powerful evidence of causal effects because it controls for secular trends in study outcomes. The Cochrane Resources 43 form the ‘benchmark’ methodology for this study, and others have previously used the Box–Jenkins techniques 21 , 22 , 23 , 25 , 26 , 46 – 50 described here. A commonly used time-series modelling framework [autoregressive integrated moving average (ARIMA)] to analyse the monthly total quantity of prescription data from the EPD was employed.…”

Section: Methodsmentioning

confidence: 99%

“…However, recent evidence is emerging from the United Kingdom that plausibly connects the onset and course of the pandemic to temporal changes in drug series 21 – 24 [for gonadorelins, calcineurin inhibitors, asthma and chronic obstructive pulmonary disease (COPD) medicines, and anticoagulants], trends that are being observed globally, providing an early signal for some form of system fragility or system failure with reduced prescription drug coverage. 25 , 26 …”

Section: Introductionmentioning

confidence: 99%

Impact of the COVID-19 pandemic on cardiovascular heart disease medication use: time-series analysis of England’s prescription data during the COVID-19 pandemic (January 2019 to October 2020)

Barrett

Hodgkinson

2022

Therapeutic Advances in Cardiovascular Disease

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Background: Management of high blood pressure (BP) typically requires adherence to medication regimes. However, it is known that the COVID-19 pandemic both interrupted access to some routine prescriptions and changed some patient health behaviours. Aim: This study, therefore, retrospectively investigated prescription reimbursement of cardiovascular (CVD) medicines as a proxy measure for patient adherence and access to medicines during the pandemic. Methods: A cohort study of all primary care patients in England prescribed CVD medicines. The exposure was to the global pandemic. Prescriptions were compared before and after the pandemic’s onset. Statistical variation was the outcome of interest. Results: Descriptive statistics show changes to monthly prescriptions, with wide confidence intervals indicating varying underlying practice. Analysis of variance reveals statistically significant differences for bendroflumethiazide, potassium-sparing diuretics, nicorandil, ezetimibe, ivabradine, ranolazine, colesevelam and midodrine. After the pandemic began (March–October 2020), negative parameters are observed for ACE inhibitors, beta-blockers, calcium channel blockers, statins, antiplatelet, antithrombotics, ARBs, loop diuretics, doxazosin, bendroflumethiazide, nitrates and indapamide, indicating decelerating monthly prescription items (statistically significant declines of calcium channel blockers, antithrombotic, adrenoreceptor blockers and diuretics) of CVD medicines within the general population. Many data points are not statistically significant, but fluctuations remain clinically important for the large population of patients taking these medications. Conclusion: A concerning decline in uptake of CVD therapies for chronic heart disease was observed. Accessible screening and treatment alongside financial relief on prescription levies are needed. A video abstract is (4 min 51 s) available: https://bit.ly/39gvEHi

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The effect of the March 2020 COVID‐19 lockdown on national psychiatric contacts in Denmark: An interrupted time series analysis

Cited by 13 publications

References 24 publications

Antidepressants Drug Use during COVID-19 Waves in the Tuscan General Population: An Interrupted Time-Series Analysis

Antidepressants Drug Use during COVID-19 Waves in the Tuscan General Population: An Interrupted Time-Series Analysis

Impact of the first COVID-19 outbreak on mental health service utilisation at a Dutch mental health centre: retrospective observational study

Impact of the COVID-19 pandemic on cardiovascular heart disease medication use: time-series analysis of England’s prescription data during the COVID-19 pandemic (January 2019 to October 2020)

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