Mapping the Location of Health Centers in Relation to "Maternity Care Deserts": Associations With Utilization of Women's Health Providers and Services.

BACKGROUND AND OBJECTIVES: The aim was to explore the association between community health centers' (CHC) distance to a "maternity care desert" (MCD) and utilization of maternity-related health care services, controlling for CHC and county-level factors. MEASURES: Utilization as: total number of CHC visits to obstetrician-gynecologists, certified nurse midwives, family physicians (FP), and nurse practitioners (NP); total number of prenatal care visits and deliveries performed by CHC staff. RESEARCH DESIGN: Cross-sectional design comparing utilization between CHCs close to MCDs and those that were not, using linked 2017 data from the Uniform Data System (UDS), American Hospital Association Survey, and Area Health Resource Files. On the basis of prior research, CHCs close to a "desert" were hypothesized to provide higher numbers of FP and NP visits than obstetrician-gynecologists and certified nurse midwives visits. The sample included 1261 CHCs and all counties in the United States and Puerto Rico (n=3234). RESULTS: Results confirm the hypothesis regarding NP visits but are mixed for FP visits. CHCs close to "deserts" had more NP visits than those that were not. There was also a dose-response effect by MCD classification, with NP visits 3 times higher at CHCs located near areas without any outpatient and inpatient access to maternity care. CONCLUSIONS: CHCs located closer to "deserts" and NPs working at these comprehensive, primary care clinics have an important role to play in providing access to maternity care. More research is needed to determine how best to target resources to these limited access areas.

Coronavirus Disease 2019 Planning and Response: A Tale of 2 Health Workforce Estimator Tools.

BACKGROUND: As coronavirus disease 2019 (COVID-19) rapidly progressed throughout the United States, increased demand for health workers required health workforce data and tools to aid planning and response at local, state, and national levels. OBJECTIVE: We describe the development of 2 estimator tools designed to inform health workforce planning for COVID-19. RESEARCH DESIGN: We estimated supply and demand for intensivists, critical care nurses, hospitalists, respiratory therapists, and pharmacists, using Institute for Health Metrics and Evaluation projections for COVID-19 hospital care and National Plan and Provider Enumeration System, Provider Enrollment Chain and Ownership System, American Hospital Association, and Bureau of Labor Statistics Occupation Employment Statistics for workforce supply. We estimated contact tracing workforce needs using Johns Hopkins University COVID-19 case counts and workload parameters based on expert advice. RESULTS: The State Hospital Workforce Deficit Estimator estimated the sufficiency of state hospital-based clinicians to meet projected COVID-19 demand. The Contact Tracing Workforce Estimator calculated the workforce needed based on the 14-day COVID-19 caseload at county, state, and the national level, allowing users to adjust workload parameters to reflect local contexts. CONCLUSIONS: The 2 estimators illustrate the value of integrating health workforce data and analysis with pandemic response planning. The many unknowns associated with COVID-19 required tools to be flexible, allowing users to change assumptions on number of contacts and work capacity. Data limitations were a challenge for both estimators, highlighting the need to invest in health workforce data and data infrastructure as part of future emergency preparedness planning.

The Effects of SNAP Work Requirements in Reducing Participation and Benefits From 2013 to 2017.

Objectives. To assess the effects of work requirements for able-bodied adults without dependents in the Supplemental Nutrition Assistance Program (SNAP).Methods. We used changes in waivers of work requirements to assess the impact of requiring work on the number of SNAP participants and benefit levels in 2410 US counties from 2013 to 2017 using 2-way fixed effects models.Results. Adoption of work requirements was followed by reductions of 3.0% in total SNAP participation, 4.5% in SNAP households, and 3.8% in SNAP benefit dollars, after controlling for the unemployment, poverty, and Medicaid expansions. Because able-bodied adults without dependents comprise 8% to 9% of all SNAP participants, our findings indicate that work requirements caused more than one third of able-bodied adults without dependents to lose benefits.Conclusions. Expansions of work requirements caused about 600 000 participants to lose SNAP benefits from 2013 to 2017 and caused a reduction of about $2.5 billion in federal SNAP benefits in 2017. The losses occurred rapidly, beginning a few months after work requirements were imposed.Public Health Implications. SNAP work requirements rapidly reduce caseloads and benefits, reducing food and health access. Effects on participation could be similar for work requirements in Medicaid or other programs.

Variation in State Education Regulations for RNs.

BACKGROUND: There is variation in nursing education quality, measured as first-time NCLEX (National Council Licensure Examination)-RN pass rates (FTPR), both across and within the United States. Current research examines program-level characteristics associated with performance. METHOD: This study examines state-level policies and their relationship to FTPR (both associate and baccalaureate nursing degrees) to identify policies that enhance nursing program quality. Ordinary least squares regression analyses were conducted for state and program levels, and tests for interactions of variables were conducted between the two levels. RESULTS: Accredited for-profit programs were associated with a 24% higher FTPR than nonaccredited for-profit programs. In addition, for-profit programs in more business-friendly states were associated with an 11.8% lower FTPR. CONCLUSION: National standards for licensure pass rates, a mandate that all programs be accredited, and better enforcement could help improve the quality of RN programs nationwide. States with pro-business policies should be aware of the effect of their policies on the proliferation of for-profit schools. [J Nurs Educ. 2022;61(5):242-249.].

Association of Work Requirements With Supplemental Nutrition Assistance Program Participation by Race/Ethnicity and Disability Status, 2013-2017.

Importance: Increased work requirements have been proposed throughout federal safety net programs, including the Supplemental Nutrition Assistance Program (SNAP). Participation in SNAP is associated with reduced food insecurity and improved health. Objectives: To determine whether SNAP work requirements are associated with lower rates of program participation and to examine whether there are racial/ethnic disparities or spillover effects for people with disabilities, who are not intended to be affected by work requirements. Design, Setting, and Participants: This nationally representative, pooled cross-sectional study examined how changes in SNAP work requirements at state and local levels in the US are associated with changes in food voucher program participation. The study combined information on state and local SNAP work requirements with repeated cross-sections from the 2012 through 2017 American Community Survey (with outcomes covering 2013 to 2017). The analytical approaches were based on difference-in-difference and triple-difference methods, after controlling for other economic and social factors. The sample included low-income adults without dependents, stratified by racial/ethnic group and disability status. The study also included parents who would otherwise meet work requirement criteria as a comparison group to estimate triple-difference models. This accounted for otherwise unobserved factors affecting trends in SNAP participation within local areas. Data were analyzed from January 2019 through March 2020. Exposure: Residence in areas where SNAP work requirements apply. Main Outcomes and Measures: The primary outcome is SNAP participation measured by whether anyone in the household received food vouchers at any point over the prior 12 months. Results: The final analytical sample included 866 000 low-income adults (weighted mean [SE] age, 33.6 [0.01] years; 42.5% [SE, 0.07%] men). The racial/ethnic breakdown was 56.5% (SE, 0.07%) non-Hispanic white respondents, 19.4% (SE, 0.06%) non-Hispanic black respondents, 17.7% (SE, 0.06%) Hispanic respondents, 2.5% (SE, 0.02%) Asian respondents, and 3.9% (SE, 0.03%) respondents of other or multiple races. In final triple-difference models, work requirements were associated with a 4.0 percentage point decrease in participation (95% CI, -0.048 to -0.032; P < .001) for childless adults without disability, equivalent to a 21.2% reduction in SNAP participation (95% CI, -25.5% to -17.0%). For childless adults with disability, work requirements were associated with a 4.0 percentage point reduction (95% CI, -0.058 to -0.023; P < .001), equivalent to 7.8% fewer SNAP participants with disability (95% CI, -11.2% to -4.4%). When the final models were stratified by race/ethnicity, benefit reductions were larger for non-Hispanic black adults (7.2 percentage points; 95% CI, -0.092 to -0.051; P < .001) and Hispanic adults (5.5 percentage points; 95% CI, -0.072 to -0.038; P < .001) than for non-Hispanic white adults (2.6 percentage points; 95% CI, -0.035 to -0.016; P < .001). Conclusions and Relevance: Because of the association of SNAP with food security and health, work requirements that lead to benefit loss may create nutritional and health harm for low-income Americans. These findings suggest that there may be racially disparate consequences and unintended harm for those with disability.

Perceptions of Alternative Tobacco Products, Anti-tobacco Media, and Tobacco Regulation among Young Adults: A Qualitative Study.

Objectives With increased alternative tobacco product (ATP) use and lagging public health action, we explored perceptions of ATPs, anti-tobacco messaging, and tobacco regulation among young adults. Methods Semi-structured interviews were conducted with 60 Georgia college students aged 18-25 using: (1) cigarettes, little cigars/cigarillos (LCCs), smokeless tobacco, or e-cigarettes ≥15 days of the past 30; or (2) hookah ≥10 of the past 30 days (due to lower frequency of use). Of 99 participants recruited, 80 consented, and 60 participated. Results Participants were on average 21.01 years old (SD = 2.07), 56.7% women, and 65.0% black; 56.7% reported current use of cigarettes, 43.3% LCCs, 26.7% smokeless tobacco, 45.0% e-cigarettes, and 41.7% hookah. Cigarettes were perceived as most harmful to health and most addictive. E-cigarettes and hookah were generally regarded as lowest risk. Many indicated that ATP risk information was limited or inaccessible and that most anti-tobacco campaigns were irrelevant to ATPs. Participants requested more research and dissemination of evidence regarding ATP risks and need for ATP regulation. Conclusions In light of low risk perceptions regarding ATPs among young adults, research, anti-tobacco campaigns, and regulation must address their known and potential risks.

Polytobacco, marijuana, and alcohol use patterns in college students: A latent class analysis.

Limited research has examined polysubstance use profiles among young adults focusing on the various tobacco products currently available. We examined use patterns of various tobacco products, marijuana, and alcohol using data from the baseline survey of a multiwave longitudinal study of 3418 students aged 18-25 recruited from seven U.S. college campuses. We assessed sociodemographics, individual-level factors (depression; perceptions of harm and addictiveness,), and sociocontextual factors (parental/friend use). We conducted a latent class analysis and multivariable logistic regression to examine correlates of class membership (Abstainers were referent group). Results indicated five classes: Abstainers (26.1% per past 4-month use), Alcohol only users (38.9%), Heavy polytobacco users (7.3%), Light polytobacco users (17.3%), and little cigar and cigarillo (LCC)/hookah/marijuana co-users (10.4%). The most stable was LCC/hookah/marijuana co-users (77.3% classified as such in past 30-day and 4-month timeframes), followed by Heavy polytobacco users (53.2% classified consistently). Relative to Abstainers, Heavy polytobacco users were less likely to be Black and have no friends using alcohol and perceived harm of tobacco and marijuana use lower. Light polytobacco users were older, more likely to have parents using tobacco, and less likely to have friends using tobacco. LCC/hookah/marijuana co-users were older and more likely to have parents using tobacco. Alcohol only users perceived tobacco and marijuana use to be less socially acceptable, were more likely to have parents using alcohol and friends using marijuana, but less likely to have friends using tobacco. These findings may inform substance use prevention and recovery programs by better characterizing polysubstance use patterns.