Impact of the COVID-19 pandemic on non-COVID-19 hospital mortality in patients with schizophrenia: a nationwide population-based cohort study

The effect of public hospital closure on the death of long-term inpatients in Korea

OBJECTIVES

This study aimed to examine the changes in health outcomes and the patterns of medical institution utilization among patients with long-term stays in public hospitals following the closure of a public medical center. It also sought to present a proposal regarding the role of public hospitals in countries with healthcare systems predominantly driven by private entities, such as Korea.

METHODS

To assess the impact of a public healthcare institution closure on health outcomes in a specific region, we utilized nationally representative health insurance claims data. A retrospective cohort study was conducted for this analysis.

RESULTS

An analysis of the medical utilization patterns of patients after the closure of Jinju Medical Center showed that 67.4% of the total medical usage was redirected to long-term care hospitals. This figure is notably high in comparison to the 20% utilization rate of nursing hospitals observed among patients from other medical facilities. These results indicate that former patients of Jinju Medical Center may have experienced limitations in accessing necessary medical services beyond nursing care. After accounting for relevant mortality factors, the analysis showed that the mortality rate in closed public hospitals was 2.47 (95% confidence interval, 0.85 to 0.96) times higher than in private hospitals.

CONCLUSIONS

The closure of public medical institutions has resulted in unmet healthcare needs, and an observed association was observed with increased mortality rates. It is essential to define the role and objectives of public medical institutions, taking into account the distribution of healthcare resources and the conditions of the population.

Technologic and Nontechnologic Barriers to Implementing Behavioral Health Homes in Community Mental Health Settings During the COVID-19 Pandemic

Background

Persons with serious mental illnesses (SMIs) experience disparities in health care and are more likely to die from physical health conditions than the general population. Behavioral health homes are used in public sector mental health programs to deploy collaborative care to improve physical health for those with SMIs. During the COVID-19 pandemic, these programs faced new challenges in delivering care to this vulnerable group.

Purpose

To describe barriers to implementing or sustaining behavioral health homes, experienced by community mental health workers during the COVID-19 pandemic, and the strategies used to address these challenges.

Methods

In-depth qualitative interviews were conducted among the behavioral health workforce in Maryland and Michigan community mental health programs. Interview questions were derived from the Consolidated Framework for Implementation Research (CFIR), and responses related to implementing and sustaining health homes during the pandemic were coded and themes were analyzed by using an inductive approach.

Results

Overall, 72 staff members across 21 sites in Maryland and Michigan were interviewed. Implementation barriers/strategies identified occurred across multiple CFIR domains (client, mental health system, physical health system). Interviewees discussed technologic and nontechnologic challenges as well as strategies to address technology issues. Strategies were more frequently discussed by providers when the barrier was viewed at the client level (eg, low technology literacy) versus the broader system (eg, canceled primary care visits).

Conclusions

Community mental health staff described barriers beyond technology in caring for individuals with SMIs and physical health conditions. Further research should examine how implementation strategies address both technologic and nontechnologic barriers to collaborative care.

Dynamic zero-COVID policy and healthcare utilization patterns in China during the Shanghai COVID-19 Omicron outbreak

BACKGROUND

In April 2022, an outbreak of the SARS-CoV-2 virus Omicron variant in Shanghai precipitated an extensive lockdown. We assessed changes in healthcare utilization during this outbreak and investigated the relationship between the stringency of mitigation strategies and disruptions in healthcare utilization.

METHODS

Using provincial-level data from routine health information systems covering all hospitals across Mainland China, we conducted an interrupted time series analysis to examine changes in healthcare utilization during the Shanghai outbreak. Linear regression was used to evaluate the direction and magnitude of the association between the relative changes in the move-out movement index, a proxy for the stringency in population-level mitigation strategies, and the estimated relative changes in healthcare utilization.

RESULTS

Overall, there were 22.9 billion outpatient visits and 1.2 billion discharged inpatients during the study period from January 2016 to May 2022, including 9.1 billion (39.7%) and 0.46 billion (38.2%) in the post-COVID-19 period (January 2020-May 2022), respectively. From March through May 2022, the outbreak resulted in an accumulative loss of 23.5 million (47%) outpatient visits and 0.6 million (55%) discharged inpatients in Shanghai, and a loss of 150.3 million (14%) outpatient visits and 3.6 million (7%) discharged inpatients in other regions. We find that for every 10-percentage point reduction in the relative change of move-out index, a 2.7 (95% CI: 2.0-3.4) percentage point decline in the relative change of outpatient visits, and a 4.3 (95% CI: 3.5-5.2) percentage points decline in the relative change of inpatient discharges.

CONCLUSIONS

The Shanghai COVID-19 Omicron outbreak associates with a substantial reduction in outpatient visits and inpatient discharges within Shanghai and other regions in China. The stringency of the COVID-19 lockdown policies associates with more profound reductions in healthcare utilization.

Big data evidence of the impact of COVID-19 hospitalizations on mortality rates of non-COVID-19 critically ill patients

The COVID-19 virus caused a global pandemic leading to a swift policy response. While this response was designed to prevent the spread of the virus and support those with COVID-19, there is growing evidence regarding measurable impacts on non-COVID-19 patients. The paper uses a large dataset from administrative records of the Brazilian public health system (SUS) to estimate pandemic spillover effects in critically ill health care delivery, i.e. the additional mortality risk that COVID-19 ICU hospitalizations generate on non-COVID-19 patients receiving intensive care. The data contain the universe of ICU hospitalizations in SUS from February 26, 2020 to December 31, 2021. Spillover estimates are obtained from high-dimensional fixed effects regression models that control for a number of unobservable confounders. Our findings indicate that, on average, the pandemic increased the mortality risk of non-COVID-19 ICU patients by 1.296 percentage points, 95% CI 1.145-1.448. The spillover mortality risk is larger for non-COVID patients receiving intensive care due to diseases of the respiratory system, diseases of the skin and subcutaneous tissue, and infectious and parasitic diseases. As of July 2023, the WHO reports more than 6.9 million global deaths due to COVID-19 infection. However, our estimates of spillover effects suggest that the pandemic's total death toll is much higher.

The risk of hospitalization for psychotic disorders following hospitalization for COVID-19: a French nationwide longitudinal study

COVID-19, like other infectious diseases, may be a risk factor for psychotic disorders. We aimed to compare the proportions of hospitalizations for psychotic disorders in the 12 months following discharge from hospital for either COVID-19 or for another reason in the adult general population in France during the first wave of the pandemic. We conducted a retrospective longitudinal nationwide study using the national French administrative healthcare database. Psychotic disorders were first studied as a whole, and then chronic and acute disorders separately. The role of several adjustment factors, including sociodemographics, a history of psychotic disorder, the duration of the initial hospitalization, and the level of care received during that hospitalization, were also analyzed. Between 1 January 2020 and 30 June 2020, a total of 14,622 patients were hospitalized for psychotic disorders in the 12 months following discharge from hospital for either COVID-19 or another reason. Initial hospitalization for COVID-19 (vs. another reason) was associated with a lower rate of subsequent hospitalization for psychotic disorders (0.31% vs. 0.51%, odds ratio (OR) = 0.60, 95% confidence interval (CI) [0.53-0.67]). This was true for both chronic and acute disorders, even after adjusting for the various study variables. Importantly, a history of psychotic disorder was a major determinant of hospitalization for psychotic disorders (adjusted OR = 126.56, 95% CI [121.85-131.46]). Our results suggest that, in comparison to individuals initially hospitalized for another reason, individuals initially hospitalized for COVID-19 present a lower risk of hospitalization for first episodes of psychotic symptoms/disorders or for psychotic relapse in the 12 months following discharge. This finding contradicts the hypothesis that there is a higher risk of psychotic disorders after a severe COVID-19.

Reducing Health Inequalities in Individuals with Severe Mental Disorders: Harnessing Real-World Data and Patient-Reported Measures

Mental disorders are the leading cause of diminished lifespans worldwide and make up 5 of the top 10 most significant causes of disability [...].

Lessons from the coronavirus disease 2019 pandemic in schizophrenia: a review

PURPOSE OF REVIEW

Multiple countries have reported increased COVID-19 mortality in patients with schizophrenia. The purpose of this review was to synthetize the consequences of the pandemic on patients with schizophrenia including vaccination data.

RECENT FINDINGS

We have synthetized data on the increased risk of infection and increased mortality, the impact of the pandemic and lockdowns on psychiatric care, vaccination policies, unwillingness to vaccine in patients and the rates of vaccination.

SUMMARY

Schizophrenia has been confirmed at increased risk of both COVID-19 infection and developing a severe/lethal form of the infection. Patients with schizophrenia should, therefore, be prioritized for vaccination whenever possible and should be prioritized for psychiatric and somatic care access. Psychotic symptomatology may be a barrier to vaccination in some patients, and heterogenous vaccination rates were identified in national databases. The COVID-19 pandemic has been also a unique opportunity to develop telehealth. A mixed face-to-face and distance model should be encouraged, whenever possible, to improve the experience of patients, relatives and healthcare professionals. No major change of long-acting antipsychotics has been reported in most countries, and there was no consistent evidence for clozapine prescription to increase the risk of COVID-19 infection or severe outcomes.