A multi-marker assessment of sewage contamination in streams using human-associated indicator bacteria, human-specific viruses, and pharmaceuticals.

Human sewage contaminates waterways, delivering excess nutrients, pathogens, chemicals, and other toxic contaminants. Contaminants and various sewage indicators are measured to monitor and assess water quality, but these analytes vary in their representation of sewage contamination and the inferences about water quality they support. We measured the occurrence and concentration of multiple microbiological (n = 21) and chemical (n = 106) markers at two urban stream locations in Milwaukee, Wisconsin, USA over two years. Five-day composite water samples (n = 98) were collected biweekly, and sewage influent samples (n = 25) were collected monthly at a Milwaukee, WI water reclamation facility. We found the vast majority of markers were not sensitive enough to detect sewage contamination. To compare analytes for monitoring applications, five consistently detected human sewage indicators were used to evaluate temporal patterns of sewage contamination, including microbiological (pepper mild mottle virus, human Bacteroides, human Lachnospiraceae) and chemical (acetaminophen, metformin) markers. The proportion of human sewage in each stream was estimated using the mean influent concentration from the water reclamation facility and the mean concentration of all stream samples for each sewage indicator marker. Estimates of instream sewage pollution varied by marker, differing by up to two orders of magnitude, but four of the five sewage markers characterized Underwood Creek (mean proportions of human sewage ranged 0.0025 % - 0.075 %) as less polluted than Menomonee River (proportions ranged 0.013 % - 0.14 %) by an order of magnitude more. Chemical markers correlated with each other and yielded higher estimates of sewage pollution than microbial markers, which exhibited greater temporal variability. Transport, attenuation, and degradation processes can influence chemical and microbial markers differently and cause variation in human sewage estimates. Given the range of potential human and ecological health effects of human sewage contamination, robust characterization of sewage contamination that uses multiple lines of evidence supports monitoring and research applications.

Examining the prevalence of adverse childhood experiences (ACEs) among justice-involved youth in the U.S.: The importance of accounting for race/ethnicity, gender, and gendered racial/ethnic groups.

BACKGROUND: Youth in the U.S. juvenile justice system are exposed to adverse childhood experiences (ACEs) at higher rates than youth in the general public. Additionally, research has demonstrated ACEs can vary by race/ethnicity and gender. However, little is known about how ACEs are experienced across gendered racial/ethnic groups of justice-involved youth. OBJECTIVE: To address this gap, this exploratory study is the first to apply an intersectional lens to examine the prevalence of ACEs among a group of justice-involved youth in the U.S. PARTICIPANTS & SETTING: Using secondary data, this study examines ACEs by gender, race/ethnicity, and six gendered racial/ethnic groups of justice-involved youth referred to the Division of Youth and Family Services (DYFS) in Milwaukee, Wisconsin. METHODS: Descriptive analyses are presented by gender and race/ethnicity separately, followed by gendered racial/ethnic groups to understand differential rates of exposure to ACEs. RESULTS: The study's findings align with previous research and reinforce that justice-involved youth experience higher rates of adversity than the general public. The results also support the feminist pathway's perspective within an intersectional context, emphasizing the importance of accounting for race/ethnicity and gender simultaneously to identify the unique experiences of ACEs among justice-involved youth. CONCLUSION: Recommendations related to these findings and considerations surrounding ACE measures are discussed. Specifically, findings from this study stress the importance of accounting for gender and race/ethnicity simultaneously when measuring experiences of adversity. This is a critical step to providing equitable treatment and services to address trauma-related needs across gendered racial/ethnic groups of system-involved youth.

Maternal opioid use disorder and infant mortality in Wisconsin, United States, 2010-2018.

OBJECTIVE: The difference in infant health outcomes by maternal opioid use disorder (OUD) status is understudied. We measured the association between maternal OUD during pregnancy and infant mortality and investigated whether this association differs by infant neonatal opioid withdrawal syndrome (NOWS) or maternal receipt of medication for OUD (MOUD) during pregnancy. METHODS: We sampled 204,543 Medicaid-paid births from Wisconsin, United States (2010-2018). The primary exposure was any maternal OUD during pregnancy. We also stratified this exposure on NOWS diagnosis (no OUD; OUD without NOWS; OUD with NOWS) and on maternal MOUD receipt (no OUD; OUD without MOUD; OUD with <90 consecutive days of MOUD; OUD with 90+ consecutive days of MOUD). Our outcome was infant mortality (death at age <365 days). Demographic-adjusted logistic regressions measured associations with odds ratios (OR) and 95% confidence intervals (CI). RESULTS: Maternal OUD was associated with increased odds of infant mortality (OR 1.43; 95% CI 1.02-2.02). After excluding infants who died <5 days post-birth (i.e., before the clinical presentation of NOWS), regression estimates of infant mortality did not significantly differ by NOWS diagnosis. Likewise, regression estimates did not significantly differ by maternal MOUD receipt in the full sample. CONCLUSIONS: Maternal OUD is associated with an elevated risk of infant mortality without evidence of modification by NOWS nor by maternal MOUD treatment. Future research should investigate potential mechanisms linking maternal OUD, NOWS, MOUD treatment, and infant mortality to better inform clinical intervention.

Evidence on COVID-19 Mortality and Disparities Using a Novel Measure, COVID excess mortality percentage: Evidence from Indiana, Wisconsin, and Illinois.

COVID-19 mortality rates increase rapidly with age, are higher among men than women, and vary across racial/ethnic groups, but this is also true for other natural causes of death. Prior research on COVID-19 mortality rates and racial/ethnic disparities in those rates has not considered to what extent disparities reflect COVID-19-specific factors, versus preexisting health differences. This study examines both questions. We study the COVID-19-related increase in mortality risk and racial/ethnic disparities in COVID-19 mortality, and how both vary with age, gender, and time period. We use a novel measure validated in prior work, the COVID Excess Mortality Percentage (CEMP), defined as the COVID-19 mortality rate (Covid-MR), divided by the non-COVID natural mortality rate during the same time period (non-Covid NMR), converted to a percentage. The CEMP denominator uses Non-COVID NMR to adjust COVID-19 mortality risk for underlying population health. The CEMP measure generates insights which differ from those using two common measures-the COVID-MR and the all-cause excess mortality rate. By studying both CEMP and COVID-MRMR, we can separate the effects of background health from Covid-specific factors affecting COVID-19 mortality. We study how CEMP and COVID-MR vary by age, gender, race/ethnicity, and time period, using data on all adult decedents from natural causes in Indiana and Wisconsin over April 2020-June 2022 and Illinois over April 2020-December 2021. CEMP levels for racial and ethnic minority groups can be very high relative to White levels, especially for Hispanics in 2020 and the first-half of 2021. For example, during 2020, CEMP for Hispanics aged 18-59 was 68.9% versus 7.2% for non-Hispanic Whites; a ratio of 9.57:1. CEMP disparities are substantial but less extreme for other demographic groups. Disparities were generally lower after age 60 and declined over our sample period. Differences in socio-economic status and education explain only a small part of these disparities.

Wisconsin bill would restrict pathogen studies.

Efforts to ban "gain-of-function" research on viruses and bacteria worry scientists.

Long COVID Among Wisconsin Workers in the Workers' Compensation System: Associations With Sociodemographics, Vaccination, and Predominant Variant Period From March 1, 2020 to July 31, 2022.

OBJECTIVE: This analysis aimed to determine the likelihood of developing long COVID among Wisconsin workers while adjusting for sociodemographics, COVID-19 vaccination, industry, and occupation. METHODS: This retrospective analysis determined the odds ratios of developing long COVID among Wisconsin workers who were compensated for COVID-19 lost time during March 1, 2020 to July 31, 2022. RESULTS: A total of 234 workers (11.7%) were determined to have long COVID. Factors associated with long COVID were age ≥40 years, non-White race, infection occurrence during the initial and Omicron variant dominant periods, and the absence of COVID-19 vaccination. Workers in manufacturing and public administration were more likely to develop long COVID compared with those in health care and social assistance. CONCLUSIONS: Long COVID disproportionately affects some worker groups. This calls for more worker protection and preventative care to mitigate its impact.

Attitudes and perceptions toward COVID-19 virus and vaccines among a Somali population in Northern Wisconsin.

OBJECTIVES: The study's aim was to gain a qualitative understanding of vaccine beliefs and attitudes toward COVID-19 among Somali residents living in Northern Wisconsin (WI). While vaccination rates are significantly lower among Black and Hispanic populations, those with lower educational levels, and in rural areas, minimal is known about Somali population perspectives of COVID-19 vaccination rates. METHODS: Through qualitative methodology employing focus groups for data collection and the inclusion of Somali interpreters, we explored Somali community viewpoints regarding these topics. Focus group interviews were transcribed verbatim with subsequent transcripts reviewed and analyzed by the research team to identify themes. RESULTS: The overarching theme was Protecting self, others, and community. Most participants accepted vaccinations, and the COVID-19 vaccine specifically, to protect themselves, others, and their community. Factors contributing to vaccine update included trusting local messengers, including public health nurses; valuing collective memory associated with previous communicable disease outbreaks; believing religion supported vaccine protective actions; and following recommended government and media advice. CONCLUSION: Study results suggest strategies for increasing community outreach to newly resettled refugee and immigrant minority groups, establishing trust between community members, nurses, and other public health personnel, and facilitators for connecting health messaging to Somali cultural and religious beliefs to promote public health and safety.

Rates of Emotional Disturbance Among Children in Foster Care: Comparing Federal Child Welfare Data and Medicaid Records in Two States.

The purpose of this study is to estimate the rate of emotional disturbance (ED) among children in foster care and assess the validity of the national foster care census data (AFCARS) measure of ED. This study used linked child protection and Medicaid records from 2014 and 2015, for the states of California and Wisconsin, as well as data from AFCARS, a federal population census of children in foster care which states are mandated to contribute to. ED is defined by AFCARS and includes an array of mental and behavioral health diagnoses. According to AFCARS, 13% of CA children in foster care and 15% of WI children in foster care had an ED, whereas Medicaid claims produce rates of 45% and 48%, respectively. Rates of ED among children in congregate care were underestimated by 43-46 percentage points, with substantial proportions having diagnoses of disruptive behavioral disorders. Despite the AFCARS ED measure being cited in congressional testimonies and its wide use in research, results from this study suggest that the AFCARS ED estimates are an unreliable metric for use in research, policy, or practice.

A Qualitative Analysis of Latina Migrant Farmworkers' Perception of Mental Health: Voices From Wisconsin.

INTRODUCTION: Despite evidence showing Latinos' high prevalence of mental health, little is known about Latina migrant farmworkers' mental health experiences, especially those working in Midwestern states. Considering the multiple vulnerabilities observed among Latina migrant farmworkers, it is necessary to gain insight from own accounts and perceptions of mental health and mental health-seeking experiences. METHOD: A qualitative descriptive approach, using in-depth semi-structured interviews with open-ended questions, served to retrieve data from 34 Latina migrant farmworkers. This study was informed by Chicana, postcolonial, and Black feminist epistemologies. RESULTS: Thematic analysis identified themes within the data. These findings pertained to the conceptualization of mental health within the contexts of family, capacities, stigma, denial, and faith. DISCUSSION: Our results demonstrate the need for health care providers to consider Latina migrant farmworkers' perceptions about mental health and apply those in designing and implementing culturally informed policy and practice.

Self-Reported Hearing Loss Is Associated With Poorer Health Care Access, Delays, and Communication With Providers During the COVID-19 Pandemic: Findings From the Survey of the Health of Wisconsin COVID-19 Community Impact Survey.

PURPOSE: This article aimed to evaluate associations of self-reported hearing loss with health care access and delays and difficulties communicating with health care providers during the COVID-19 pandemic. METHOD: The COVID-19 Community Impact Survey was administered online to a sample of participants from the population-based Survey of the Health of Wisconsin study cohort in Spring 2021. Hearing loss was defined as self-reported fair or poor hearing. Difficulty with health care access and delays were defined as self-reporting needing but not getting medical care or self-reporting delays in appointments due to COVID-19, respectively. Poor communication with health care providers was defined as self-reported difficulties communicating with health care providers due to wearing a mask during the COVID-19 pandemic. Logistic regression models were used to evaluate associations between hearing loss and the health care outcomes. Results are presented as odds ratios (ORs) with 95% confidence intervals (95% CIs). First, models were adjusted for age and sex. Next, models were additionally adjusted for education, race/ethnicity, self-rated health, and number of chronic conditions. RESULTS: This study included 1,582 participants (62.3% women; 11.9% non-White; age range: 18-75+ years). The number of participants with hearing loss was 196 (12.4%). After multivariable adjustment, self-reported hearing loss was associated with poorer health care access (OR = 2.41, 95% CI [1.62, 3.59]), health care delays (OR = 1.93, 95% CI [1.37, 2.71]), and increased difficulty communicating with health care providers wearing face masks (OR = 3.31, 95% CI [2.15, 5.08]) during the COVID-19 pandemic. CONCLUSIONS: The impacts of the COVID-19 pandemic on difficulties accessing and using health care are likely exacerbated for individuals with hearing loss. There is a need for interventions that will optimize health care experiences for individuals with hearing loss, particularly when face masks and/or telecommunications are used to provide health care services.

Variation in partial direct costs of treating clinical mastitis among 37 Wisconsin dairy farms.

The objective of this observational study was to describe variations in partial direct costs of clinical mastitis (CM) treatments among 37 dairy herds using data obtained from herd management records. Animal health and drug purchase records were retrospectively collected from 37 Wisconsin dairy herds for a period of 1 yr. Each farm was visited to verify case definitions, recording accuracy, and detection criteria of CM cases. Descriptive statistics were used to summarize cost of drugs and milk discard. Differences in costs among protocols, intramammary (IMM) products, parities, days in milk, and recurrence were analyzed using ANOVA. Of 20,625 cases of CM, 31% did not receive antimicrobial treatment. The average cost of drugs and milk discard (including cases that were not treated) was $192.36 ± 8.90 (mean ± SE) per case and ranged among farms from $118.13 to $337.25. For CM cases treated only with IMM antimicrobials, milk discard accounted for 87% of total costs and was highly influenced by duration of therapy. Differences in costs were observed among parities, recurrence, and stage of lactation at case detection. Eight different treatment protocols were observed, but 64% of cases were treated using only IMM antimicrobials. Treatment costs varied among protocols; however, cases treated using both IMM and injectable antimicrobials as well as supportive therapy had the greatest costs as they were also treated for the longest duration. Ceftiofur was used for 82% of cases that received IMM antimicrobials while ampicillin was used for 51% of cases treated using injectable antimicrobials. With the exception of ceftiofur and pirlimycin IMM products, many IMM products were given for durations that exceeded the maximum labeled duration. For cases treated using only IMM therapy, as compared with observed costs, we estimated that partial direct costs could be reduced by $65.20 per case if the minimum labeled durations were used. Overall, partial direct costs per case varied among herds, cow factors, and treatment protocols and were highly influenced by the duration of therapy.

Sense of community and mental health: a cross-sectional analysis from a household survey in Wisconsin.

BACKGROUND: In the USA, one in five adults live with a mental illness, and researchers have estimated that nearly half of the population will have a mental illness over the course of their lifetime. Research has shown significant associations between social relationships and mental health outcomes at the individual and population levels. This study aims to examine whether sense of community, a type of social capital, is associated with mental health. METHODS: In a cross-sectional analysis, multiple logistic regression models were used to examine whether sense of community was associated with symptoms of depression, anxiety and stress reported over the last week. The analysis used data from the Survey of the Health of Wisconsin collected between 2014 and 2016. A total of 1647 observations are included in the analyses. RESULTS: Compared with those who report a positive sense of community, those with a negative sense of community had a significantly higher odds of reporting depression, anxiety and stress symptoms. Socioeconomic status is negatively associated with depression and anxiety, but not with stress. Women were more likely to experience moderate, severe, or extremely severe anxiety and stress, compared with men. CONCLUSION: This study extends current understanding of health benefits of social capital and found that individuals' sense of community is associated with reduced symptoms of depression, anxiety and stress. Further research examining mechanisms to support improved sense of community and other types of social capital could benefit health equity research.

Applying the Hornik & Woolf Approach to Identify Messaging Themes and Improve COVID-19 Vaccine Confidence Among Federally Qualified Health Centers' Workforce in Wisconsin.

The Federally Qualified Health Centers (FQHCs) in Wisconsin serve the most under-resourced communities in the state and are trusted sources in local communities. Although healthcare workers can be leveraged to champion COVID-19 vaccines, existing vaccine hesitancy among the FQHC workforce itself calls for research to identify promising messaging themes that can boost their vaccine confidence. In spring 2021, through a partnership with the Wisconsin Primary Health Association, we took a community-engaged approach to develop and field a survey including 46 beliefs (Ms = 1.36-4.25, SDs = 0.81-1.46, all on 5-point Likert scales) among employees of 10 out of the 17 FQHCs in Wisconsin. In total, 347 clinical team members and 349 non-clinical staff members (a) indicated their levels of (dis)agreement with all 46 belief items and (b) reported vaccine acceptance (dichotomized, acceptance = 77.6%) as well as recommendation intentions (dichotomized, yes = 73.9%). We carried out the Hornik & Woolf analyses in a multilevel logistic regression framework with bootstrapping to rank order all beliefs, segmented by subgroup and behavioral outcome. Our results suggest that communication-based interventions should promote beliefs such as those related to perceived safety and efficacy, rather than normative pressure from peers, while aiming to reduce doubts about information withholding and manipulation, the safety of the mRNA technology, the approval process, and "unnatural" ingredients in the vaccines. Subgroup-specific belief rankings are also provided. This study demonstrates the usefulness of incorporating the H&W approach into community-engaged research with local healthcare systems to improve health messaging for vaccine promotion.

Medical Dental Integration in Wisconsin: Integrating dental hygienists into pediatric well child visits and prenatal care.

Disparities exist in access to early oral health care, disproportionately impacting minority ethnic groups and populations with low socio-economic status. Medical dental integration provides an opportunity to create a new dental access point for early prevention and intervention as well as care coordination. The Wisconsin Medical Dental Integration (WI-MDI) model expanded early access to preventive oral health services by integrating dental hygienists (DHs) into pediatric primary care and prenatal care teams to address oral health inequities with the goal of reducing dental disease. This case study will describe how DHs were incorporated into the medical care teams in Wisconsin and how legislation expanding scope of practice made this possible. Since 2019, five federally qualified health systems, one non-profit clinic, and two large health systems have enrolled in the WI-MDI project. Thirteen DHs have worked across nine clinics in the WI-MDI project and over 15,000 patient visits to a medical provider included oral health services provided by DHs from 2019 to 2023. Dental hygienists working in alternative practice models such as those demonstrated in the innovative WI-MDI approach are positioned to reduce oral health disparities through the provision of early and frequent dental prevention, intervention, and care coordination.

Assessment of Anti-SARS-CoV-2 antibody levels among university students vaccinated with different COVID-19 primary and booster doses - fall 2021, Wisconsin.

BACKGROUND: University students commonly received COVID-19 vaccinations before returning to U.S. campuses in the Fall of 2021. Given likely immunologic variation among students based on differences in type of primary series and/or booster dose vaccine received, we conducted serologic investigations in September and December 2021 on a large university campus in Wisconsin to assess anti-SARS-CoV-2 antibody levels. METHODS: We collected blood samples, demographic information, and COVID-19 illness and vaccination history from a convenience sample of students. Sera were analyzed for both anti-spike (anti-S) and anti-nucleocapsid (anti-N) antibody levels using World Health Organization standardized binding antibody units per milliliter (BAU/mL). Levels were compared across categorical primary COVID-19 vaccine series received and binary COVID-19 mRNA booster status. The association between anti-S levels and time since most recent vaccination dose was estimated by mixed-effects linear regression. RESULTS: In total, 356 students participated, of whom 219 (61.5%) had received a primary vaccine series of Pfizer-BioNTech or Moderna mRNA vaccines and 85 (23.9%) had received vaccines from Sinovac or Sinopharm. Median anti-S levels were significantly higher for mRNA primary vaccine series recipients (2.90 and 2.86 log [BAU/mL], respectively), compared with those who received Sinopharm or Sinovac vaccines (1.63 and 1.95 log [BAU/mL], respectively). Sinopharm and Sinovac vaccine recipients were associated with a significantly faster anti-S decline over time, compared with mRNA vaccine recipients (P <.001). By December, 48/172 (27.9%) participants reported receiving an mRNA COVID-19 vaccine booster, which reduced the anti-S antibody discrepancies between primary series vaccine types. CONCLUSIONS: Our work supports the benefit of heterologous boosting against COVID-19. COVID-19 mRNA vaccine booster doses were associated with increases in anti-SARS-CoV-2 antibody levels; following an mRNA booster dose, students with both mRNA and non-mRNA primary series receipt were associated with comparable levels of anti-S IgG.

Changing pattern of respiratory virus detections among school-aged children in a small community - Dane County, Wisconsin, September to December 2022.

Widespread school closures and other non-pharmaceutical interventions (NPIs), used to limit the spread of SARS-CoV-2, significantly disrupted transmission patterns of seasonal respiratory viruses. As NPIs were relaxed, populations were vulnerable to resurgence. This study within a small community assessed acute respiratory illness among kindergarten through grade 12 students as they returned to public schools from September through December 2022 without masking and distancing requirements. The 277 specimens collected demonstrated a shift from rhinovirus to influenza. With continued circulation of SARS-CoV-2 and return of seasonal respiratory viruses, understanding evolving transmission patterns will play an important role in reducing disease burden.

Discounting Health Grades for Disparity: The 2021 Wisconsin Population Health and Equity Report Card.

We describe updates to the University of Wisconsin Population Health Institute's methodology for a state health report card, first described in Preventing Chronic Disease in 2010, and the considerations that were weighed in making those updates. These methods have been used since 2006 to issue a periodic report entitled Health of Wisconsin Report Card. The report highlights Wisconsin's standing among other states and serves as an example for others seeking to measure and improve their population's health. For 2021, we revisited our approach with an increased emphasis on disparities and health equity, which required many choices about data, analysis, and reporting methods. In this article, we outline the decisions, rationale, and implications of several choices we made in assessing Wisconsin's health by answering several questions, among them: Who is the intended audience and which measures of length (eg, mortality rate, years of potential life lost) and quality of life (eg, self-reported health, quality-adjusted life years) are most relevant to them? Which subgroups should we report disparities about, and which metric is most easily understood? Should disparities be summarized with overall health or reported separately? Although these decisions are applicable to 1 state, the rationale for our choices could be applied to other states, communities, and nations. Consideration of the purpose, audience, and context for health and equity policy making is important in developing report cards and other tools that can improve the health of all people and places.

Healthy Foods in Convenience Stores: Benefits, Barriers, and Best Practices.

Accessing healthy food is a challenge for many. Healthy corner store initiatives have proven successful at promoting healthy food access nationwide. Recent data suggest that 11.8% of Clark County residents and 17.1% of Henderson, Nevada, residents experienced food insecurity. It is crucial to assess the current perceptions and practices of the community before pursuing policy change to ensure that pilot programs reflect its members' needs. This study aimed to identify which healthy foods consumers would like to see offered in convenience stores, assess purchasing behaviors, and explore barriers preventing store owners from carrying healthy foods. In doing so, this study aimed to ensure that the needs of owners and consumers are reflected in local policy changes. Project staff collected data through two approaches: (a) convenience store owner interviews (n = 2; who represented eight stores total) and (b) consumer intercept surveys (n = 88) within low-income census tracts of Henderson, Nevada. The cost of healthy foods-for storeowners and consumers-was a major factor when selecting items to stock. Storeowners also described key contextual barriers such as minimum purchasing requirements, city regulations limiting promotions, and healthy, fresh food not being in high enough demand for the many transient customers passing through. Survey respondents' most commonly reported barrier to accessing healthy food was their lack of availability in convenience stores, suggesting it would be beneficial if stores offered healthier options to increase access. The results of this study will inform the community's next steps to increase access to healthy foods, including implementing a pilot healthy corner store project and a City-sponsored marketing campaign. Our methods and lessons learned may be useful for other municipalities considering health corner and convenience store initiatives.

'The Biggest Problem With Access': Provider Reports of the Effects of Wisconsin 2011 Act 217 Medication Abortion Legislation.

BACKGROUND: Abortion legislation in the United States determines people's access to services, including the abortion modality of their choice. In 2012, Wisconsin legislators passed Act 217, banning telemedicine for medication abortion and requiring the same physician to be physically present when patients signed state-mandated abortion consent forms and to administer abortion medications over 24 hours later. OBJECTIVE: No research documented real-time outcomes of 2011 Act 217 in Wisconsin; this study documents providers' descriptions of the effects of Wisconsin abortion regulations on providers, patients, and abortion care in the state. METHODS: We interviewed 22 Wisconsin abortion care providers (18 physicians and 4 staff members) about how Act 217 affected abortion provision. We coded transcripts using a combined deductive and inductive approach, then identified themes about how this legislation affects patients and providers. RESULTS: Providers interviewed universally reported that Act 217 negatively affected abortion care, with the same-physician requirement especially increasing risk to patients and demoralizing providers. Interviewees emphasized the lack of medical need for this legislation and explained that Act 217 and the previously enacted 24-hour waiting period worked synergistically to decrease access to medication abortion, disproportionately affecting rural and low-income Wisconsinites. Finally, providers felt Wisconsin's legislative ban on telemedicine medication abortion should be lifted. CONCLUSION: Wisconsin abortion providers interviewed underscored how Act 217, alongside previous regulations, limited medication abortion access in the state. This evidence helps build a case for the harmful effects of non-evidence-based abortion restrictions, which is crucial considering recent deferral to state law after the fall of Roe v Wade in 2022.

State-Level Trends in Lifespan Variability in the United States, 1960-2019: A Research Note.

State-level disparities in life expectancy are wide, persistent, and potentially growing in the United States. However, the extent to which differences in lifespan variability by state have changed over time is unclear. This research note describes trends in lifespan variability for the United States overall and by state from 1960 to 2019 using period life table data from the United States Mortality Database. Lifespan disparity at birth (e0†) decreased over time in the United States overall from 14.0 years in 1960-1964 to 12.2 in 2015-2019. Lifespan variability decreased in all states, but states differed in the level and pace with which these changes occurred. Southern states and the District of Columbia exhibited consistently higher (i.e., less equitable) levels of lifespan variability than the nation overall. Conversely, lifespan variability was lower among several states in the Northeast (e.g., Connecticut and Massachusetts), Upper Midwest (e.g., Iowa, Minnesota, and Wisconsin), and West (e.g., California, Oregon, Utah, and Washington). We observe a particularly worrisome trend of increasing lifespan variability for the United States overall and for most states from 2010-2014 to 2015-2019. Monitoring state-level trends in lifespan variability has the potential to inform policies designed to ameliorate population health disparities.