Assessing the Link Between Survey Interview Method and Survey Outcomes: Evidence from the CPS and the COVID-19 Pandemic

COVID-19 School Closures Were Associated With A Decline In Employment For Female Nurses With Young Children

COVID-19-related school closures may have had unintended consequences affecting the ability of health professionals with school-age children to work-particularly female professionals, who often have disproportionate child care responsibilities. We combined labor-force participation data from the Current Population Survey with measures of school closures based on cell phone mobility data to examine the association between local school closures and labor supply among female nurses during the COVID-19 pandemic. During the six months after large-scale closure of schools at the end of the 2019-20 school year (March-August 2020), among counties with above-median school closure rates, the employment rate of female nurses with young children declined by 12.5 percentage points versus the rate during the prior four months (November 2019-February 2020); the change in the employment rate in below-median counties was not statistically significant. No statistically significant changes were observed among female nurses who had only older children or among male nurses. During public health emergencies, policies should consider how disruptions to schooling may affect the labor supply of health care professionals. Strategies might include direct provision of child care by health care facilities, subsidies and other aid to child care centers, or subsidies to health care workers for affordable child care.

Pivoting from in-person to phone survey assessment of alcohol and substance use: effects on representativeness in a United States prospective cohort of women living with and without HIV

Background: Many clinical and population-based research studies pivoted from in-person assessments to phone-based surveys due to the COVID-19 pandemic. The impact of these transitions on survey response remains understudied, especially for people living with HIV. Given that there are gender-specific trends in alcohol and substance use, it is particularly important to capture these data for women.Objective: Identify factors associated with responding to an alcohol and substance use phone survey administered during the COVID-19 pandemic in the Women's Interagency HIV Study, a multicenter US prospective cohort of women living with and without HIV.Methods: We used multivariable logistic regression to assess for associations of pre-pandemic (April-September 2019) sociodemographic factors, HIV status, housing status, depressive symptoms, alcohol use, and substance use with response to an early-pandemic (August-September 2020) phone survey.Results: Of 1,847 women who attended an in-person visit in 2019, 78% responded to a phone survey during the pandemic. The odds of responding were lower for women of Hispanic ethnicity (aOR 0.47 95% CI 0.33-0.66, ref=Black/African American) and those who reported substance use (aOR 0.63 95% CI 0.41-0.98). By contrast, the odds were higher for White women (aOR 1.64 95% CI 1.02-2.70, ref=Black/African American) and those with stable housing (aOR 1.74 95% CI 1.24-2.43).Conclusions: Pivoting from an in-person to phone-administered alcohol and substance use survey may lead to underrepresentation of key subpopulations of women who are often neglected in substance use and HIV research. As remote survey methods become more common, investigators need to ensure that the study population is representative of the target population.

Comparison of Unemployment-Related Health Insurance Coverage Changes in Medicaid Expansion vs Nonexpansion States During the COVID-19 Pandemic

Importance

The COVID-19 pandemic has been associated with increased unemployment rates and long periods when individuals were without health insurance. Little is known about how Medicaid expansion facilitates Medicaid enrollment as a buffer to coverage loss owing to unemployment.

Objective

To compare changes in health insurance coverage status associated with pandemic-related unemployment among previously employed adults in states that have vs have not expanded Medicaid eligibility.

Design Setting and Participants

This cohort study included US adults aged 27 to 64 years who were employed at baseline in the 2020 to 2021 Current Population Survey's Annual Social and Economic Supplement, which included calendar years 2019 to 2020 (32 462 person-years). Data analyses were conducted between November 2021 and April 2022.

Exposures

Job loss (ie, new unemployment) experienced during 2020.

Main Outcomes and Measures

Primary outcomes were coverage status (ie, uninsured status) and source of coverage (ie, employer sponsored, marketplace, and Medicaid). Using 2-way person-by-year fixed-effects regression models, changes in coverage status associated with unemployment in states that expanded Medicaid were compared with states that did not expand Medicaid. Additional analyses were performed based on prepandemic coverage status.

Results

The cohort included 16 231 adults (mean age, 46.8 [95% CI, 46.6-47.0] years; 51.6% women). New unemployment was associated with an increase of 2.9 (95% CI, 1.1-4.6) percentage points (P = .002) in the proportion of uninsured adults in Medicaid expansion states and an increase of 10.7 (95% CI, 2.4-18.9) percentage points (P = .01) in nonexpansion states. Workers were 5.4 (95% CI, 1.9-8.9) percentage points (P = .003) more likely to enroll in Medicaid after a job loss if they lived in a Medicaid expansion state compared with workers experiencing job loss in nonexpansion states.

Conclusions and Relevance

In this cohort study of US adults, unemployment-related Medicaid enrollment was more frequent in Medicaid expansion states during the COVID-19 pandemic. Medicaid expansion led to a smaller increase in uninsured adults because those who lost private insurance coverage (eg, employer sponsored) appeared more able to transition to Medicaid after job loss.