Statewide Impact of COVID-19 on Social Determinants of Health - A First Look: Findings from the Survey of the Health of Wisconsin
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Abstract
There is an urgent need to track the early and ongoing impact of the COVID-19 pandemic on population health from local to global scales. At the same time, there is an overall lack of U.S. state-specific surveillance data tracking social determinants of health (SDOH) and associations with population well-being, individual mitigation and coping strategies, family dynamics and other economic shocks of the pandemic in populations. Statewide data can offer important insights into how SDOH shape the long-term effects of COVID-19 in the population since implementation of many policies and programs varied widely early on in the pandemic. In May of 2020, the Survey of the Health of Wisconsin (SHOW) program launched a statewide online/phone survey of early and ongoing impacts of COVID-19 on health and well-being across diverse communities and families. The goal of this study is to provide descriptive data including perceived COVID-19 risks, access to and results of COVID-19 antigen testing, individual mitigation and coping strategies, family dynamics and other economic shocks of the pandemic on health and mental health in populations. Key findings include higher rates of testing and perceived past infection from COVID-19 among non-white respondents. Higher economic shifts and job changes in female vs male respondents. Families with children reported overall higher levels of stress, and stress from the pandemic. There were urban and rural differences in changes to access to care. Rural regions, which had a lower prevalence of infections early in the pandemic as compared to urban areas, also reported fewer delays or missed appointments due to COVID-19. Key findings show that SDOH are shaping impacts of health and well-being early on in the pandemic and future longitudinal follow-up will be important to shape policies and programs well into the future.
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SciScore for 10.1101/2021.02.18.21252017: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement IRB: The study was approved by the University of Wisconsin-Madison Health Science Institutional Review Board.
Consent: At the end of the survey participants were asked to consent for future linkage with electronic health records.Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Software and Algorithms Sentences Resources All analyses were performed with SAS v9.4. SASsuggested: (SASqPCR, RRID:SCR_003056)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from Limitation…SciScore for 10.1101/2021.02.18.21252017: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement IRB: The study was approved by the University of Wisconsin-Madison Health Science Institutional Review Board.
Consent: At the end of the survey participants were asked to consent for future linkage with electronic health records.Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Software and Algorithms Sentences Resources All analyses were performed with SAS v9.4. SASsuggested: (SASqPCR, RRID:SCR_003056)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:Given space and time limitations, this is an early look and provides an overview of methods used to collect information from this unique population-based sample of adults residing in diverse geographic areas socio-economic strata. To date, several national-level surveys have been conducted, but few statewide population-based surveys exist. Statewide data are important to monitor the impacts of the pandemic on key indicators of health and well-being in the broader context of social determinants of health. Population-specific data provide essential insights for policy makers, public health researchers and clinicians to learn and identify key factors driving risks in the population. COVID-19 short-term risks of infection, hospitalizations and death are shaped by public perceptions of risk and population adherence to public health guidelines. Results presented offer a brief description of the numerous domains within the social determinants of health impacted by the COVID-19 pandemic. Other COVID-19 surveys and public health surveillance systems have largely focused on early testing and mitigation with fewer studies aimed at tracking population health determinants and other indicators longer term. Most significantly, our findings are consistent with other national surveys and anecdotal information that females more than males are economically impacted by the COVID-19 pandemic during its early stages. Findings from this survey, conducted in the first few months (May-June) of the CO...
Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
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