scholarly journals Youth Mental Health Services Utilization Rates After a Large-Scale Social Media Campaign: Population-Based Interrupted Time-Series Analysis

2017 ◽  
Author(s):  
Richard G Booth ◽  
Britney N Allen ◽  
Krista M Bray Jenkyn ◽  
Lihua Li ◽  
Salimah Z Shariff
Author(s):  
Ippazio Cosimo Antonazzo ◽  
Carla Fornari ◽  
Sandy Maumus-Robert ◽  
Eleonora Cei ◽  
Olga Paoletti ◽  
...  

Background: In 2020, during the COVID-19 pandemic, Italy implemented two national lockdowns aimed at reducing virus transmission. We assessed whether these lockdowns affected anti-seizure medication (ASM) use and epilepsy-related access to emergency departments (ED) in the general population. Methods: We performed a population-based study using the healthcare administrative database of Tuscany. We defined the weekly time series of prevalence and incidence of ASM, along with the incidence of epilepsy-related ED access from 1 January 2018 to 27 December 2020 in the general population. An interrupted time-series analysis was used to assess the effect of lockdowns on the observed outcomes. Results: Compared to pre-lockdown, we observed a relevant reduction of ASM incidence (0.65; 95% Confidence Intervals: 0.59–0.72) and ED access (0.72; 0.64–0.82), and a slight decrease of ASM prevalence (0.95; 0.94–0.96). During the post-lockdown the ASM incidence reported higher values compared to pre-lockdown, whereas ASM prevalence and ED access remained lower. Results also indicate a lower impact of the second lockdown for both ASM prevalence (0.97; 0.96–0.98) and incidence (0.89; 0.80–0.99). Conclusion: The lockdowns implemented during the COVID-19 outbreaks significantly affected ASM use and epilepsy-related ED access. The potential consequences of these phenomenon are still unknown, although an increased incidence of epilepsy-related symptoms after the first lockdown has been observed. These findings emphasize the need of ensuring continuous care of epileptic patients in stressful conditions such as the COVID-19 pandemic.


2021 ◽  
pp. jech-2021-216732
Author(s):  
Marta Estrela ◽  
Tânia Magalhães Silva ◽  
Eva Rebelo Gomes ◽  
Maria Piñeiro ◽  
Adolfo Figueiras ◽  
...  

BackgroundThe COVID-19 pandemic has had a significant impact on the population’s mental health. However, its impact on the consumption of anxiolytics, sedatives, hypnotics and antidepressants remains to be evaluated. Hence, this article aims to assess the prescription trends of these drugs in Portugal, from January 2018 to March 2021, while critically examining whether the COVID-19 pandemic had an impact on these prescription trends or not.MethodsA nationwide interrupted time-series analysis of the prescription data of anxiolytics, sedatives, hypnotics and antidepressants in outpatient setting of the public health sector was conducted. The data encompassed the defined daily dose per month, age range and sex and were analysed following a segmented regression approach.ResultsThe pandemic preceded an immediate reduction in the prescription of anxiolytics, sedatives and hypnotics for children and adolescents. However, an increasing trend throughout the pandemic has been noted in the prescription of these drugs, especially among adults aged 65 years or above. A drop in antidepressant prescription was observed as an immediate effect of the pandemic among male and female adolescents and elderly women. From March 2020 to March 2021, a decreasing prescription trend has been noted among men.ConclusionsWhen analysing specific genders and age ranges, differences can be noted, in terms of both immediate impact and prescribing trends throughout 1 year of the COVID-19 pandemic. The impact of the pandemic on mental health and its association with the consumption trends of psychoactive drugs, and with the access to mental health treatments, should be further assessed.


F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 1328
Author(s):  
Betina Durovni ◽  
Valeria Saraceni ◽  
Ana Eppinghaus ◽  
Thais I.S. Riback ◽  
Luciano A. Moreira ◽  
...  

Background: Rio de Janeiro and Niterói municipalities in southeastern Brazil experience large dengue epidemics every 2 to 5 years, with >100,000 cases notified in epidemic years. Costs of vector control and direct and indirect costs due to the Aedes-borne diseases dengue, chikungunya and Zika were estimated to total $650 million USD in 2016, but traditional vector control strategies have not been effective in preventing arboviral disease outbreaks. The Wolbachia method is a novel and self-sustaining approach for the biological control of arboviral diseases, in which the transmission potential of Ae. aegypti mosquitoes is reduced by stably transfecting them with the Wolbachia bacterium. This paper describes a study protocol for evaluating the effect of large-scale non-randomised releases of Wolbachia mosquitoes on the incidence of dengue, Zika and chikungunya in the municipalities of Niterói and Rio de Janeiro. This follows a lead-in period since 2014 involving intensive community engagement, regulatory and public approval, entomological surveys, and small-scale pilot releases. Method: The planned releases during 2017-2019 cover a combined area of 121 km2 with a resident population of 1.1 million, across the two cities. Untreated areas with comparable historical dengue profiles and sociodemographic characteristics have been identified a priori as comparative control areas in each municipality. The proposed pragmatic epidemiological approach combines a controlled interrupted time series analysis of routinely notified suspected and laboratory-confirmed arboviral cases, together with monitoring of arbovirus activity utilising outbreak signals routinely used in public health disease surveillance. Discussion: If the current project is successful, this model for control of arboviral disease through Wolbachia releases can be expanded nationally and regionally.


Author(s):  
Jongho Heo ◽  
Nan-He Yoon ◽  
Soyoun Shin ◽  
Soo-Young Yu ◽  
Manwoo Lee

Abstract Background High rates of involuntary hospitalization and long lengths of stay have been problematic in Korea. To address these problems, the Mental Health and Welfare Law was revised in 2016, mainly to protect patient rights by managing involuntary admissions. The aim of this study was to evaluate the impact of the revised Mental Health and Welfare Law on deinstitutionalization by using routinely collected data from hospital admissions and continuity of mental health service use after hospital discharge as proxy measures of deinstitutionalization. Methods We used monthly-aggregated claims-based data with a principal or secondary diagnosis of schizophrenia from 2012 to 2019, collected by the National Health Insurance Service. Outcome variables included rates of first admission; discharges; re-admissions within 7, 30, and 90 days; outpatient visits after discharge within 7 and 30 days; and continuity of visits, at least once a month for 6 months after discharge. Using interrupted time series analysis, we estimated the change in levels and trends of the rates after revision, controlling for baseline level and trend. Results There was no significant change in first admission and discharge rates after the revision. Immediately after the revision, however, the rates of re-admission within 7 and 30 days dropped significantly, by 2.24% and 1.99%, respectively. The slopes of the re-admission rate decreased significantly, by 0.10% and 0.14%, respectively. The slopes of the re-admission rate within 90 days decreased (0.001%). The rates of outpatient visits within 7 and 30 days increased by 1.98% and 2.72%, respectively. The rate of continuous care showed an immediate 4.0% increase. Conclusions The revision had slight but significant effects on deinstitutionalization, especially decreasing short-term re-admission and increasing immediate outpatient service utilization.


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