Socio-economic differences in remote schoolwork during the COVID-19 pandemic: a trend analysis of the 2020 and 2021 school-closure periods using the UK Understanding Society data.

In the United Kingdom, the COVID-19 pandemic in 2020 and 2021 led to two extended periods of school closures. Research on inequality of learning opportunity as a result of these closures used a single indicator of socio-economic status, neglecting important determinants of remote learning. Using data from the Understanding Society (USoc) COVID-19 surveys we analysed the levels and differentials in the uptake of remote schoolwork using parental social class, information technology (IT) availability in the home and parental working patterns to capture the distinct resources that families needed to complete remote schoolwork. This is also the first study to assess the extent to which the differentials between socio-economic groups changed between the first and second school-closure periods caused by the pandemic. We found that each of the three factors showed an independent association with the volume of remote schoolwork and that their effect was magnified by their combination. Children in families where the main parent was in an upper-class occupation, where both parents worked from home and where the children had their own IT spent more time doing remote schoolwork than other groups, particularly compared to children of single parents who work from home, children in families where the main parent was in a working-class occupation, where the child had to share IT, and where the parents did not work regularly from home. The differentials between socio-economic groups in the uptake of schoolwork were found to be stable between the two school-closure periods.

Emergency Department Visits And Hospital Capacity In The US: Trends In The Medicare Population During The COVID-19 Pandemic.

Although emergency department (ED) and hospital overcrowding were reported during the later parts of the COVID-19 pandemic, the true extent and potential causes of this overcrowding remain unclear. Using data on the traditional fee-for-service Medicare population, we examined patterns in ED and hospital use during the period 2019-22. We evaluated trends in ED visits, rates of admission from the ED, and thirty-day mortality, as well as measures suggestive of hospital capacity, including hospital Medicare census, length-of-stay, and discharge destination. We found that ED visits remained below baseline throughout the study period, with the standardized number of visits at the end of the study period being approximately 25 percent lower than baseline. Longer length-of-stay persisted through 2022, whereas hospital census was considerably above baseline until stabilizing just above baseline in 2022. Rates of discharge to postacute facilities initially declined and then leveled off at 2 percent below baseline in 2022. These results suggest that widespread reports of overcrowding were not driven by a resurgence in ED visits. Nonetheless, length-of-stay remains higher, presumably related to increased acuity and reduced available bed capacity in the postacute care system.

The COVID-19 Uninsured Program: Nearly 39 Million Vaccine Doses Were Funded, 2020-22.

The COVID-19 Uninsured Program, administered by the Health Resources and Services Administration (HRSA), reimbursed providers for administering COVID-19 vaccines to uninsured US adults from December 11, 2020, through April 5, 2022. Using HRSA claims data covering forty-two states, we estimated that the program funded about 38.9 million COVID-19 vaccine doses, accounting for 5.7 percent of total doses distributed and 10.9 percent of doses administered to adults ages 19-64.

Overlap In Carriers And Networks In Medicaid And The Individual Marketplaces.

As people lose Medicaid because of the end of the COVID-19 public health emergency, many states will route former Medicaid managed care enrollees into Affordable Care Act Marketplace coverage with the same carrier. In 2021, 52.1 percent of Medicaid managed care enrollees were enrolled by a carrier that also had a plan on the Marketplace in the same county.

Estimating The Effects Of COVID-19 On Globalized Markets For Active Pharmaceutical Ingredients.

Global supply chains for active pharmaceutical ingredients (APIs) are highly centralized in certain countries and are susceptible to supply-chain shocks. However, there is no systematic monitoring or global coordination to manage risk and ensure equitable supply continuity during public health emergencies. In this study, we applied quasi-experimental methods on shipment-level customs data to determine how prices and export volume for APIs exported from India were affected by the COVID-19 pandemic. We found that API prices for key essential medicines not used for COVID-19 did not change significantly in the year after the World Health Organization pandemic declaration, but volume decreased by 80 percent. Prices for medicines speculatively repurposed for COVID-19, such as hydroxychloroquine and ivermectin, increased by as much as 250 percent compared with prices for nonrepurposed medicines, but only ivermectin saw a decrease in volume. Systematic monitoring of API markets, investments to promote supply diversification, and legal and political reforms to disincentivize price speculation could support supply-chain resilience and safeguard access to medicines.

The COVID-19 Pandemic Led To A Large Decline In Physician Gross Revenue Across All Specialties In 2020.

US health care use declined during the initial phase of the COVID-19 pandemic in 2020. Although utilization is known to have recovered in 2021 and 2022, it is unknown how revenue in 2020-22 varied by physician specialty and practice setting. This study linked medical claims from a large national federation of commercial health plans to physician and practice data to estimate pandemic-associated impacts on physician revenue (defined as payments to eligible physicians) by specialty and practice characteristics. Surgical specialties, emergency medicine, and medical subspecialties each experienced a greater than 9 percent adjusted gross revenue decline in 2020 relative to prepandemic baselines. By 2022, pathology and psychiatry revenue experienced robust recovery, whereas surgical and oncology revenue remained at or below baseline. Revenue recovery in 2022 was greater for physicians practicing in hospital-owned practices and in practices participating in accountable care organizations. Pandemic-associated revenue recovery in 2021 and 2022 varied by specialty and practice type. Given that physician financial instability is associated with health care consolidation and leaving practice, policy makers should closely monitor revenue trends among physicians in specialties or practice settings with sustained gross revenue reductions during the pandemic.

Socioeconomic disparities in changes to preterm birth and stillbirth rates during the first year of the COVID-19 pandemic: a study of 21 European countries.

BACKGROUND: Despite concerns about worsening pregnancy outcomes resulting from healthcare restrictions, economic difficulties and increased stress during the COVID-19 pandemic, preterm birth (PTB) rates declined in some countries in 2020, while stillbirth rates appeared stable. Like other shocks, the pandemic may have exacerbated existing socioeconomic disparities in pregnancy, but this remains to be established. Our objective was to investigate changes in PTB and stillbirth by socioeconomic status (SES) in European countries. METHODS: The Euro-Peristat network implemented this study within the Population Health Information Research Infrastructure (PHIRI) project. A common data model was developed to collect aggregated tables from routine birth data for 2015-2020. SES was based on mother's educational level or area-level deprivation/maternal occupation if education was unavailable and harmonized into low, medium and high SES. Country-specific relative risks (RRs) of PTB and stillbirth for March to December 2020, adjusted for linear trends from 2015 to 2019, by SES group were pooled using random effects meta-analysis. RESULTS: Twenty-one countries provided data on perinatal outcomes by SES. PTB declined by an average 4% in 2020 {pooled RR: 0.96 [95% confidence intervals (CIs): 0.94-0.97]} with similar estimates across all SES groups. Stillbirths rose by 5% [RR: 1.05 (95% CI: 0.99-1.10)], with increases of between 3 and 6% across the three SES groups, with overlapping confidence limits. CONCLUSIONS: PTB decreases were similar regardless of SES group, while stillbirth rates rose without marked differences between groups.

Evolution of HIV Health Care Workforce Needs in the U.S. Mountain West During the COVID-19 Pandemic: A Mixed Method Study.

ABSTRACT: The COVID-19 pandemic drastically affected health care delivery for vulnerable populations. Many facilities shifted services to telemedicine, and people with HIV or at risk of acquiring HIV experienced interruptions in care. Simultaneously, traditional training approaches to help providers adapt were disrupted. Using a mixed method approach to examine changes over time, we integrated data on trainee needs collected by the Mountain West AIDS Education and Training Center (AETC): a 10-state needs assessment survey in 2020; feedback from a 2020 community of practice; aggregate training data from 2000 to 2022; and a second survey in 2022. HIV care providers' training needs evolved from wanting support on telemedicine and COVID-19 patient care issues, to a later focus on mental health and substance use, social determinants of health, and care coordination. This integrative analysis demonstrates the vital role that AETCs can play in addressing evolving and emergent public health challenges for the HIV workforce.

Understanding sexual health service access for gay, bisexual and other men who have sex with men in Ireland during the COVID-19 crisis: Findings from the EMERGE survey.

BACKGROUND: In the Republic of Ireland, the COVID-19 crisis led to sexual health service closures while clinical staff were redeployed to the pandemic response. Gay, bisexual and other men who have sex with men (gbMSM) face pre-existing sexual health inequalities which may have been exacerbated. The aim of this study is to understand sexual health service accessibility for gbMSM in Ireland during the COVID-19 crisis. METHODS: EMERGE recruited 980 gbMSM in Ireland (June-July 2021) to an anonymous online survey investigating well-being and service access through geo-location sexual networking apps (Grindr/Growlr), social media (Facebook/Instagram/Twitter) and collaborators. We fit multiple regression models reporting odds ratios (ORs) to understand how demographic and behavioural characteristics (age, sexual orientation, HIV testing history/status, region of residence, region of birth and education) were associated with ability to access services. RESULTS: Of the respondents, 410 gbMSM accessed sexual health services with some or no difficulty and 176 attempted but were unable to access services during the COVID-19 crisis. A further 382 gbMSM did not attempt to access services and were excluded from this sample and analysis. Baseline: mean age 35.4 years, 88% gay, 83% previously tested for HIV, 69% Dublin-based, 71% born in Ireland and 74% with high level of education. In multiple regression, gbMSM aged 56+ years (aOR = 0.38, 95%CI:0.16, 0.88), not previously tested for HIV (aOR = 0.46, 95%CI:0.23, 0.93) and with medium and low education (aOR = 0.55 95%CI:0.35, 0.85) had lowest odds of successfully accessing services. GbMSM with HIV were most likely to be able to access services successfully (aOR = 2.68 95%CI:1.83, 6.08). Most disrupted services were: STI testing, HIV testing and PrEP. CONCLUSIONS: Service access difficulties were found to largely map onto pre-existing sexual health inequalities for gbMSM. Future service development efforts should prioritise (re)engaging older gbMSM, those who have not previously tested for HIV and those without high levels of education.

Combating Chronic Disease with Barbershop Health Interventions: A Review of Current Knowledge and Potential for Big Data.

Community-based participatory research (CBPR) using barbershop interventions is an emerging approach to address health disparities and promote health equity. Barbershops serve as trusted community settings for health education, screening services, and referrals. This narrative mini-review provides an overview of the current state of knowledge regarding CBPR employing barbershop interventions and explores the potential for big data involvement to enhance the impact and reach of this approach in combating chronic disease. CBPR using barbershop interventions has shown promising results in reducing blood pressure among Black men and improving diabetes awareness and self-management. By increasing testing rates and promoting preventive behaviors, barbershop interventions have been successful in addressing infectious diseases, including HIV and COVID-19. Barbershops have also played roles in promoting cancer screening and increasing awareness of cancer risks, namely prostate cancer and colorectal cancer. Further, leveraging the trusted relationships between barbers and their clients, mental health promotion and prevention efforts have been successful in barbershops. The potential for big data involvement in barbershop interventions for chronic disease management offers new opportunities for targeted programs, real-time monitoring, and personalized approaches. However, ethical considerations regarding privacy, confidentiality, and data ownership need to be carefully addressed. To maximize the impact of barbershop interventions, challenges such as training and resource provision for barbers, cultural appropriateness of interventions, sustainability, and scalability must be addressed. Further research is needed to evaluate long-term impact, cost-effectiveness, and best practices for implementation. Overall, barbershops have the potential to serve as key partners in addressing chronic health disparities and promoting health equity.

Did the COVID-19 quarantine policies applied in Cochabamba, Bolivia mitigated cases successfully? an interrupted time series analysis.

BACKGROUND: The COVID-19 pandemic prompted varied policy responses globally, with Latin America facing unique challenges. A detailed examination of these policies' impacts on health systems is crucial, particularly in Bolivia, where information about policy implementation and outcomes is limited. OBJECTIVE: To describe the COVID-19 testing trends and evaluate the effects of quarantine measures on these trends in Cochabamba, Bolivia. METHODS: Utilizing COVID-19 testing data from the Cochabamba Department Health Service for the 2020-2022 period. Stratified testing rates in the health system sectors were first estimated followed by an interrupted time series analysis using a quasi-Poisson regression model for assessing the quarantine effects on the mitigation of cases during surge periods. RESULTS: The public sector reported the larger percentage of tests (65%), followed by the private sector (23%) with almost double as many tests as the public-social security sector (11%). In the time series analysis, a correlation between the implementation of quarantine policies and a decrease in the slope of positive rates of COVID-19 cases was observed compared to periods without or with reduced quarantine policies. CONCLUSION: This research underscores the local health system disparities and the effectiveness of stringent quarantine measures in curbing COVID-19 transmission in the Cochabamba region. The findings stress the importance of the measures' intensity and duration, providing valuable lessons for Bolivia and beyond. As the global community learns from the pandemic, these insights are critical for shaping resilient and effective health policy responses.

Main findings: The findings highlight the importance of stringent quarantine measures in managing infectious disease outbreaks, offering valuable insights for policymakers worldwide in strategizing effective public health interventions.Added knowledge: By providing a detailed analysis of testing disparities and quarantine policies' effectiveness within a specific Latin American context, our research fills a critical gap in understanding their impacts on health system responses and disease control.Global health impact for policy and action: The findings highlight the importance of stringent quarantine measures in managing infectious disease outbreaks, offering valuable insights for policymakers worldwide in strategizing effective public health interventions.

A particular epidemiological profile: disparities in access to contraceptive methods in Brazil during the SARS-CoV-2 (COVID-19) pandemic.

Our objective was to study disparities in access to contraception during the COVID-19 pandemic. We performed a cross-sectional study at the University of Campinas, Brazil using a Google questionnaire applied from December 2021 until February 2022, disseminated via snowball technique. The survey asked about sociodemographic characteristics and contraceptive use, as well as the demand for new methods and difficulties in continuing to use contraceptives during the COVID-19 pandemic. We analyzed 1018 completed questionnaires; in total, 742 (72.9%) were women aged between 20 and 39 years, 746 (73.3%) were White and 602 (59.2%) used contraceptives. During the COVID-19 pandemic, about 23% of respondents changed their method and approximately 20% of respondents looked for new methods. Among the latter, 31.3% reported some difficulty with obtaining guidance on new methods while only 5.3% of the respondents reported some difficulty with continuing their contraceptive. The main difficulty in both cases was the difficulty with getting a healthcare provider appointment. Our results point to a particular epidemiological population, of younger black and biracial women, with lower education and lower income, which suffered health disparities during the COVID-19 pandemic and found difficulties with using contraceptives and accessing family planning services.

Using community-based participatory research methods to build the foundation for an equitable integrated health data system within a Canadian urban context.

Health inequalities amplified by the COVID-19 pandemic have disproportionately affected racialized and equity-deserving communities across Canada. In the Municipality of Peel, existing data, while limited, illustrates that individuals from racialized and equity-deserving communities continue to suffer, receive delayed care, and die prematurely. In response to these troubling statistics, grassroots community advocacy has called on health systems leaders in Peel to work with community and non-profit organizations to address the critical data and infrastructure gaps that hinder addressing the social determinants of health in the region. To support these advocacy efforts, we used a community-based participatory research approach to understand how we might build a data collection ecosystem across sectors, alongside community residents and service providers, to accurately capture the data about the social determinants of health. This approach involved developing a community engagement council, defining the problem with the community, mapping what data is actively collected and what is excluded, and understanding experiences of sociodemographic data collection from community members and service providers. Guided by community voices, our study focused on sociodemographic data collection in the primary care context and identified which service providers use and collect these data, how data are used in their work, the facilitators and barriers to data use and collection. Additionally, we gained insight into how sociodemographic data collection could be respectful, safe, and properly governed from the perspectives of community members. From this study, we identify a set of eight recommendations for sociodemographic data collection and highlight limitations. This foundational community-based work will inform future research in establishing data governance in partnership with diverse and equity-deserving communities.

Air Quality and Public Health Risk Assessment: A Case of an Industrial Area in Haridwar City, Uttarakhand (India).

BACKGROUND: Air pollution is a significant issue for a developing country like India and the air quality index (AQI) forecasting helps to predict air quality levels in advance and allows individuals to take precautionary measures to protect their health. OBJECTIVES: The study aimed to forecast the AQI for an industrial area (SIDCUL, Haridwar City) using a time series regression model. MATERIALS AND METHODS: Three years of existing AQI data points (post-COVID-19) were collected from the Uttarakhand Pollution Control Board for the SIDCUL area of Haridwar City and tried to know the status of AQI values for the following 12 months. Trend and seasonality components were seen through the decomposition process. Further, the augmented Dickey-Fuller test was applied to check the stationarity of the series before finalizing the best-suited time series model for forecasting the AQI values. RESULTS: With the help of autocorrelation function (ACF)/partial ACF plots, a seasonal autoregressive integrated moving average (ARIMA) (0,1,0) (1,0,0)[12] model was selected with the minimum akaike information criterion (253.143) and mean absolute percentage error (17.42%). The AQI values have also been forecasted for this industrial area (SIDCUL) for the following year. CONCLUSION: The seasonal ARIMA (0,1,0) (1,0,0)[12] model may be helpful to forecast the AQI values for a nonstationary time series dataset. Research indicates that the air of the SIDCUL area will become moderately polluted and may cause breathing discomfort to asthma patients' health. The scientists might apply this model to other polluted regions of the country so that the public and the government can take preventive measures in advance.

Reducing disparities in medication use: Responding to managed care pharmacy's imperatives.

Although disparities and inequities in health status and access to health care services have long existed in our nation, the COVID-19 pandemic cast a bright spotlight on them. Communities of color and socioeconomically disadvantaged populations were disproportionally affected by the pandemic. These same populations suffer from higher prevalences of chronic illnesses, which puts them at greater risk for poor outcomes associated with SARS-CoV-2. At long last, in the wake of the pandemic, the health care community began to acknowledge improving health equity as a public health imperative. In a November 2020 JMCP Viewpoints article, Dr Stephen Kogut of the University of Rhode Island College of Pharmacy presented an insightful analysis of disparities in medication use (DMU) and offered 4 suggestions on how the managed care pharmacy community can help eliminate DMU. This Viewpoints article assesses what progress has been made in addressing those imperatives and proposes further steps that should be taken. Although the managed care pharmacy community has broadly acknowledged the existence of DMU and taken steps to mitigate them, there is much work to do in examining and improving benefit design and coverage policies; collecting and reporting data on race and ethnicity and DMU; incorporating the perspectives of patients, including those representing minority populations, in benefit design and coverage policies; and addressing the challenges associated with traditional cost-sharing models. The entire managed care pharmacy community, including AMCP and other membership organizations, must remain steadfast in its efforts to improve health equity and eliminate DMU.

Community Leadership Institute for Equity: Planning Processes and Procedures to Develop Partnered Conferences.

BACKGROUND: Community-partnered participatory research (CPPR) is a research approach that supports equitable collaboration of community and academic co-leaders in research and policy. Despite CPPR's 25-year history, infrastructure supporting community members in bidirectional learning has not been formalized. OBJECTIVE: This paper describes processes and procedures using CPPR to plan conferences to develop community leadership training infrastructure. METHODS: We utilized rapid ethnographic analysis to examine conference planning processes for community leadership in CPPR. Community and academic leaders in Los Angeles, New Orleans, and Chicago met weekly over two months to plan, given COVID-19, three Zoom conferences on a leadership training institute for CPPR, with planning for (1) community co-leadership in research and policy; (2) local and national CPPR programs; and (3) models for bidirectional training. RESULTS: The planning process emphasized bidirectional learning for community and academic members for research and services/policy to benefit communities, within a Community Leadership Institute for Equity (C-LIFE) to promote equity and power sharing for community leaders. The planning process identified major themes of framing of C-LIFE conference planning goals, developing the conference structure, promoting equity and diversity, envisioning the future of CPPR, challenges, collaborations, future curriculum ideas for C-LIFE, evaluation and next-steps for Zoom conferences in November 2020. CONCLUSIONS: It was feasible to use CPPR to plan Zoom conferences to promote community leadership training across multiple sites. Key planning themes included promoting equity, addressing structural racism, bidirectional learning and integrating community, academic, and policy priorities with community co-leaders as change agents.

Improving rates of immunisation in refugee populations in Australia.

Despite an established humanitarian program running for many years, the health needs of refugees resettled in Australia, particularly immunisation, have not been met adequately. Under-immunisation is one of the top health issues for this population. While there is no population-level immunisation coverage data, seroprevalence studies based on small cohorts of refugees show suboptimal immunity to various vaccine-preventable diseases and lower vaccine coverage for this group than the general population. This is compounded by gaps in immunisation policy and service delivery that further perpetuate access issues and may contribute to under-immunisation. This is particularly pertinent against the backdrop of the coronavirus disease 2019 (COVID-19) pandemic, where there have been significant disruptions in the delivery of routine and catch-up immunisations. This paper briefly analyses the status quo and draws on the key policy considerations for enhancing the equitable provision of immunisation for refugees as recommended by the 2019 World Health Organisation technical guidance report to provide a clear, overarching direction for empirical work on immunisation service delivery for refugees in Australia.

Pre-Pandemic Landscape of the Oklahoma Public Health Workforce: A Case Study From the Region 6 Training Needs Assessment Survey, 2019.

CONTEXT: The COVID-19 pandemic highlighted the need for a well-trained public health workforce prior to the public health crisis. Public health training centers regularly assess workforce needs and their pre-pandemic data play vital roles in guiding public health workforce development beyond the crisis. PROGRAM: In 2019, Oklahoma partners of the Region 6 South Central Public Health Training Center (R6SCPHTC) co-conducted an online survey of the public health workforce located in the Health Resources & Services Administration Region 6. IMPLEMENTATION: Between March and April, the R6SCPHTC collected 503 surveys, including 201 surveys from Oklahoma. Questions inquired about demographic and workforce characteristics, work contexts, training needs and interests, training access and logistics, and knowledge of R6SCPHTC online resources. EVALUATION: Key findings included that two-thirds of the pre-pandemic Oklahoma public health workforce consisted of employees age 40 or older with few holding public health or medical degrees. The majority of respondents worked for health departments and Tribes, and almost half were frontline workers. Although at least half of the participants interested in training on public health activities and topics were familiar with them, confidence in their abilities related to these activities and topics was expressed by less than half. Qualitative data provided details on training needs addressed quantitatively and described new training areas. Survey participants expressed interest in diverse training delivery methods and technological devices. Most respondents were not familiar with the free trainings available through the R6SCPHTC. DISCUSSION: Similar to the regional and national public health workforce, Oklahoma's workforce needed training and support already before COVID-19. Time and resources need to be invested into the current and future workforce. While addressing priority public health skills and topics remains important, training on current and emerging topics is needed. Providing accessible trainings with expanded content will prepare Oklahoma's public health workforce for the future.

Analysis of a COVID-19 model with media coverage and limited resources.

The novel coronavirus disease (COVID-19) pandemic has profoundly impacted the global economy and human health. The paper mainly proposed an improved susceptible-exposed-infected-recovered (SEIR) epidemic model with media coverage and limited medical resources to investigate the spread of COVID-19. We proved the positivity and boundedness of the solution. The existence and local asymptotically stability of equilibria were studied and a sufficient criterion was established for backward bifurcation. Further, we applied the proposed model to study the trend of COVID-19 in Shanghai, China, from March to April 2022. The results showed sensitivity analysis, bifurcation, and the effects of critical parameters in the COVID-19 model.