County-Level Factors Associated With Influenza and COVID-19 Vaccination in Indiana, 2020‒2022.

Objectives. To assess COVID-19 and influenza vaccination rates across Indiana's 92 counties and identify county-level factors associated with vaccination. Methods. We analyzed county-level data on adult COVID-19 vaccination from the Indiana vaccine registry and 2021 adult influenza vaccination from the Centers for Disease Control and Prevention. We used multiple linear regression (MLR) to determine county-level predictors of vaccinations. Results. COVID-19 vaccination ranged from 31.2% to 87.6% (mean = 58.0%); influenza vaccination ranged from 33.7% to 53.1% (mean = 42.9%). In MLR, COVID-19 vaccination was significantly associated with primary care providers per capita (b = 0.04; 95% confidence interval [CI] = 0.02, 0.05), median household income (b = 0.23; 95% CI = 0.12, 0.34), percentage Medicare enrollees with a mammogram (b = 0.29; 95% CI = 0.08, 0.51), percentage uninsured (b = -1.22; 95% CI = -1.57, -0.87), percentage African American (b = 0.31; 95% CI = 0.19, 0.42), percentage female (b = -0.97; 95% CI = -1.79, ‒0.15), and percentage who smoke (b = -0.75; 95% CI = -1.26, -0.23). Influenza vaccination was significantly associated with percentage uninsured (b = 0.71; 95% CI = 0.22, 1.21), percentage African American (b = -0.07; 95% CI = -0.13, -0.01), percentage Hispanic (b = -0.28; 95% CI = -0.40, -0.17), percentage who smoke (b = -0.85; 95% CI = -1.06, -0.64), and percentage who completed high school (b = 0.54; 95% CI = 0.21, 0.87). The MLR models explained 86.7% (COVID-19) and 70.2% (influenza) of the variance. Conclusions. Factors associated with COVID-19 and influenza vaccinations varied. Variables reflecting access to care (e.g., insurance) and higher risk of severe disease (e.g., smoking) are notable. Programs to improve access and target high-risk populations may improve vaccination rates. (Am J Public Health. 2024;114(4):415-423. https://doi.org/10.2105/AJPH.2023.307553).

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.

Sexual Behavior and Sexual Decision-Making Among Gay, Bisexual, and Other Men Who Have Sex with Men During the COVID-19 Pandemic: Observations from a Rapid Ethnographic Assessment in Marion County, Indiana, October-November 2021.

From 2020 to 2021, Marion County, Indiana, USA, saw an increase in early syphilis diagnoses, primarily among gay, bisexual, and other men who have sex with men (GBMSM). This rapid ethnographic assessment combines survey data from GBMSM with data from key informant interviews with multiple groups of stakeholders, including GBMSM, to describe how COVID-19 impacted sexual behaviors, sexual decision-making, and access to sexually transmitted disease (STD) services among GBMSM in Marion County, Indiana. A total of 62 virtual, semi-structured qualitative interviews with 72 key respondents including health department staff, medical providers, community-based organization staff, and GBMSM were conducted from October 14 to November 22, 2021. Modifications to partner-seeking and sexual behaviors attributable to the pandemic were associated with the way in which individuals reacted to the pandemic in general. Some GBMSM adopted mitigation strategies to avoid COVID-19 when meeting sex partners, such as creating a "sex pod." Effects on mental health included increased loneliness, heightened anxiety, and a sense of hopelessness regarding the perceived inevitability of acquiring COVID-19. For some, the latter prompted decreased engagement in preventive measures when engaging in sexual activity. The pandemic decreased access to STD services and significantly curtailed public health outreach efforts, which may have limited access to needed STD treatment and care. Efforts focusing on ongoing public health concerns during extreme health events like COVID-19 may want to consider the many ways these events affect ancillary behaviors, such sexual decision-making and sexual behaviors. The role of mental health is key; messaging and guidance may benefit from a trauma-informed approach.

Economic Burden Associated With Untreated Mental Illness in Indiana.

Importance: There is a paucity of systematically captured data on the costs incurred by society-individuals, families, and communities-from untreated mental illnesses in the US. However, these data are necessary for decision-making on actions and allocation of societal resources and should be considered by policymakers, clinicians, and employers. Objective: To estimate the economic burden associated with untreated mental illness at the societal level. Design, Setting, and Participants: This cross-sectional study used multiple data sources to tabulate the annual cost of untreated mental illness among residents (≥5 years old) in Indiana in 2019: the US National Survey on Drug Use and Health, the National Survey of Children's Health, Indiana government sources, and Indiana Medicaid enrollment and claims data. Data analyses were conducted from January to May 2022. Main Outcomes and Measures: Direct nonhealth care costs (eg, criminal justice system, homeless shelters), indirect costs (unemployment, workplace productivity losses due to absenteeism and presenteeism, all-cause mortality, suicide, caregiver direct health care, caregiver productivity losses, and missed primary education), and direct health care costs (disease-related health care expenditures). Results: The study population consisted of 6 179 105 individuals (median [SD] age, 38.0 [0.2] years; 3 132 806 [50.7%] were women) of whom an estimated 429 407 (95% CI, 349 526-528 171) had untreated mental illness in 2019. The economic burden of untreated mental illness in Indiana was estimated to be $4.2 billion annually (range of uncertainty [RoU], $2.1 billion-$7.0 billion). The cost of untreated mental illness included $3.3 billion (RoU, $1.7 billion-$5.4 billion) in indirect costs, $708.5 million (RoU, $335 million-$1.2 billion) in direct health care costs, and $185.4 million (RoU, $29.9 million-$471.5 million) in nonhealth care costs. Conclusion and Relevance: This cross-sectional study found that untreated mental illness may have significant financial consequences for society. These findings put into perspective the case for action and should be considered by policymakers, clinicians, and employers when allocating societal resources and funding. States can replicate this comprehensive framework as they prioritize key areas for action regarding mental health services and treatments.

Evaluation of a Program to Reduce Infant Mortality Risk Factors in Central Indiana.

The purpose of the program WeCare was to provide a personalized approach to addressing the wide array of psycho-social-cultural-fiscal needs to reduce risk factors for infant mortality (IM) by supporting maternal and infant health through health coaching by community health workers (CHWs). A prospective cohort study of 1,513 women from highest risk ZIP codes for IM in central Indiana were followed over three years. The WeCare program focused on training and deploying CHWs to provide evidence-based, patient-centered social care and support to pregnant and postpartum women and tracked outcomes in health risk categories (mental health, nutrition, safe sleep, breastfeeding) targeted for behavioral change. The low birth weight rate among program participants was lower (8.9%) than Marion County's rate (10%) (p=0.23) with statistically significant improvement in many risk behaviors. Despite limitations, the personalized coaching provided by the CHWs provided an effective, practical approach to maternal and child health disparities.

Assessment of patient follow-up from student-run free eye clinic to county ophthalmology clinic.

The Ophthalmology Student Interest Group at Indiana University School of Medicine provides a free student-run eye screening clinic for an underserved community in Indianapolis. Patients with abnormal findings are referred to the ophthalmology service of the local county hospital for further evaluation. This retrospective chart review studied 180 patients referred from our free eye clinic to follow up at the ophthalmology service of a local county hospital from October 2013 to February 2020. This study investigated factors impacting follow-up of patients by analyzing demographics, medical history, insurance coverage, and final diagnoses at follow-up. Thirty-five (19.4%) of 180 patients successfully followed up at the local county hospital with an average time to follow-up of 14.4 (± 15.9) months. Mean patient age was 51 (± 13.6) with nearly equal numbers of males and females. The most common diagnoses at follow-up included refractive error (51.4%), cataract (45.7%), and glaucoma (28.6%). Patients with diabetes diagnoses or Healthy Indiana Plan insurance coverage had increased probability of follow-up. This study reveals gaps in timely follow-up to the local county hospital, demonstrating the current limitations of our free clinic in connecting patients to more definitive care and the need for an improved referral process.

Supporting Health Equity Through Data-Driven Decision-Making: A Local Health Department Response to COVID-19.

COVID-19 highlights preexisting inequities that affect health outcomes and access to care for Black and Brown Americans. The Marion County Public Health Department in Indiana sought to address inequities in COVID-19 testing by using surveillance data to place community testing sites in areas with the highest incidence of disease. Testing site demographic data indicated that targeted testing reached populations with the highest disease burden, suggesting that local health departments can effectively use surveillance data as a tool to address inequities. (Am J Public Health. 2021;111(S3):S197-S200. https://doi.org/10.2105/AJPH.2021.306421).

The synchronicity of COVID-19 disparities: Statewide epidemiologic trends in SARS-CoV-2 morbidity, hospitalization, and mortality among racial minorities and in rural America.

BACKGROUND: Early studies on COVID-19 identified unequal patterns in hospitalization and mortality in urban environments for racial and ethnic minorities. These studies were primarily single center observational studies conducted within the first few weeks or months of the pandemic. We sought to examine trends in COVID-19 morbidity, hospitalization, and mortality over time for minority and rural populations, especially during the U.S. fall surge. METHODS: Data were extracted from a statewide cohort of all adult residents in Indiana tested for SARS-CoV-2 infection between March 1 and December 31, 2020, linked to electronic health records. Primary measures were per capita rates of infection, hospitalization, and death. Age adjusted rates were calculated for multiple time periods corresponding to public health mitigation efforts. Comparisons across time within groups were compared using ANOVA. RESULTS: Morbidity and mortality increased over time with notable differences among sub-populations. Initially, hospitalization rates among racial minorities were 3-4 times higher than whites, and mortality rates among urban residents were twice those of rural residents. By fall 2020, hospitalization and mortality rates in rural areas surpassed those of urban areas, and gaps between black/brown and white populations narrowed. Changes across time among demographic groups was significant for morbidity and hospitalization. Cumulative morbidity and mortality were highest among minority groups and in rural communities. CONCLUSIONS: The synchronicity of disparities in COVID-19 by race and geography suggests that health officials should explicitly measure disparities and adjust mitigation as well as vaccination strategies to protect those sub-populations with greater disease burden.

Dynamic frailty: Objective physiological assessment to guide management in necrotizing pancreatitis.

BACKGROUND: Physical frailty as a measure of physiological reserve is an important yet understudied topic in necrotizing pancreatitis. We measured frailty metrics in patients with necrotizing pancreatitis at baseline and at 1 month to assess dynamic change. We hypothesized that greater baseline frailty and steeper decline in frailty biomarkers are associated with worse outcomes in necrotizing pancreatitis. METHODS: A retrospective analysis of an institutional, necrotizing pancreatitis-specific database was performed. First order outcomes were organ failure, infected necrosis, step-up approach failure, and mortality. Baseline frailty assessment included measurement of comorbid diseases (modified frailty index), nutritional status (prognostic nutritional index), and radiologic sarcopenia (psoas muscle index, Hounsfield unit average calculation). Dynamic frailty was evaluated using psoas muscle index and Hounsfield unit average calculation. Significant associations between baseline and dynamic frailty with outcomes were analyzed. RESULTS: Three hundred and forty-one patients were included in this study. Most patients were male (65%) with biliary etiology of necrotizing pancreatitis (46%). Baseline comorbid diseases and baseline sarcopenia were not associated with first order outcomes. Lower baseline prognostic nutritional index was associated with organ failure (P < .001) and infected necrosis (P < .001). After 30 days, 25% of patients became sarcopenic. Larger declines in all sarcopenia metrics were associated with organ failure, infected necrosis, and/or death (P < .05). Lower psoas area and density were independent risk factors for organ failure and infected necrosis. CONCLUSION: Dynamic changes in sarcopenia-focused frailty metrics were significantly and consistently associated with organ failure, infected necrosis, and death. Further development of a dynamic frailty index to objectively guide decision-making in necrotizing pancreatitis is warranted.

Variation in COVID-19 Diagnosis by Zip Code and Race and Ethnicity in Indiana.

Objectives: To describe variations in coronavirus disease 2019 (COVID-19) diagnosis by zip code race and ethnicity in Indiana. Methods: Cross-sectional evaluation of subjects with SARS-CoV-2 at Indiana University Health. We performed two separate analyses, first evaluating likelihood of COVID-19 diagnosis by race (Caucasian, African American, Asian, or other) and ethnicity (Hispanic vs. non-Hispanic) in the cohort encompassing the entire state of Indiana. Subsequently, patient data was geolocated with zip codes in Marion County and the immediate surrounding counties, and descriptive statistical analyses were used to calculate the number of COVID-19 cases per 10,000 persons for each of these zip codes. Results: Indiana had a total of 3,892 positive COVID-19 cases from January 1 to April 30, 2020. The odds of testing positive for COVID-19 were four-fold higher in African Americans than non-African Americans (OR 4.58, 95% CI 4.25-4.94, P < 0.0001). Increased COVID-19 cases per 10,000 persons were seen in zip codes with higher percentage of African American (median infection rate of 17.4 per 10,000 population in zip codes above median % African American compared to 6.7 per 10,000 population in zip codes below median % African American, with an overall median infection rate 9.9 per 10,000 population, P < 0.0001) or Hispanic residents (median infection rate of 15.9 per 10,000 population in zip codes above median % Hispanic compared to 7.0 per 10,000 population in zip codes below median % Hispanic, overall median infection rate 9.6 per 10,000 population, P < 0.0001). Conclusions: Individuals from zip codes with higher percentages of African American, Hispanic, foreign-born, and/or residents living in poverty are disproportionately affected by COVID-19. Urgent work is needed to understand and address the disproportionate burden of COVID-19 in minority communities and when economic disparities are present.

Community-Level Social Processes and Firearm Shooting Events: A Multilevel Analysis.

Firearm violence is a leading public health issue that contributes to significant health inequalities within communities. Relatively little is known about the community-level social processes that occur at the street segment level and contributed to the community variation of firearm violence. This study examines the spatial patterns of firearm shooting events on street segments and the associated community-level social processes at both the street segment and neighborhood level. Multilevel mixed-effects Poisson regression was used to assess the relationship between measures of social disorder, physical disorder, and collective efficacy at the street segment-level and neighborhood-level measures of social disorganization theory. The results demonstrate that firearm shooting events occur on a small number of street segments across the city. Street segments with higher levels of social and physical disorder, along with lower levels of collective efficacy, are expected to have higher rates of firearm shooting events when accounting for neighborhood-level measures. Overall, the findings indicate specific street segments are experiencing higher rates of firearm shooting events and that these events are influenced by social processes. Prevention efforts should be focused on street segments experiencing higher rates of shootings.

Using Community Engagement to Map Pathways of Opioid Use and Recovery.

We created a tool for use by the community of Tippecanoe County Indiana and their Opioid Task Force to guide their collaborative efforts in addressing the opioid crisis. A community-engaged research strategy led to the creation of a map of opioid pathways based in a systems thinking approach that considers key stakeholders and community members as system components and reflects local resources, supply, and demand for services, and the social ecology unique to this community. Organizations are able to visualize the importance of their interactions with other organizations within the community as they work together to address the crisis. This approach could be replicated in other communities and used to address other public health issues.

Burden of Substance Abuse-Related Admissions to the Medical ICU.

BACKGROUND: Admissions to the ICU related to alcohol, prescription drugs, and illicit drugs are shown to be widespread and costly. In 1993, a study revealed 28% of ICU admissions at Johns Hopkins Hospital were related to substance abuse and accrued 39% of costs. Since then, health-care expenditures have increased, and substance abuse treatment admissions have risen. We conducted a study to provide updated data on ICU utilization and costs related to licit and illicit abuse at a large county hospital in Indianapolis, Indiana. METHODS: All admissions to the medical ICU at Eskenazi Hospital from March to October 2017 were reviewed. Demographics, reason for admission, relation to substance abuse and specific substance, ICU and hospital length of stay, Acute Physiology and Chronic Health Evaluation II (APACHE II) scores, mortality, insurance status, and hospital charges were collected based on chart review. RESULTS: A total of 611 admissions generated $74,587,280.35 in charges. A total of 25.7% of admissions related to substance abuse accounted for 23.1% of total charges. Illicit drugs were 13% of total admissions, generating 11% of charges. Alcohol-related admissions were 9.5% of total admissions, generating 7.6% of charges. Prescription drugs were 2.9% of admissions, generating 4.2% of charges. Of the substance abuse admissions, patients were generally men and 40 to 64 years of age, with longer ICU stay, higher APACHE II scores, and higher mortality. CONCLUSIONS: Substance abuse admissions make up almost a one-quarter of resources used by our ICU. Patients tend to be younger and sicker with a higher risk of death. Identifying and accurately describing the landscape of this current health crisis will help us take appropriate action in the future.

Active monitoring versus direct active monitoring for Ebola virus disease in the United States: experiences and perceptions of former persons under monitoring in the District of Columbia and Indiana.

OBJECTIVES: During the 2014-2016 West Africa Ebola outbreak, the Centers for Disease Control and Prevention recommended daily monitoring and surveillance of persons arriving in the United States (US) from impacted areas through either active monitoring (phone calls, online platforms, and so on) or direct active monitoring (in-person or electronic visualization). Intensiveness of policies implemented by state/local jurisdictions varied markedly. To study the experiences and perceptions of active monitoring versus direct active monitoring on former persons under monitoring (FPUMs) in the US, we compared two jurisdictions that utilized distinct polices: the District of Columbia (DC) and Indiana (IN). STUDY DESIGN: Retrospective assessment survey of FPUMs. METHODS: FPUMs from both jurisdictions (DC 826 and IN 246) monitored from October 2014 to September 2015 were surveyed regarding their overall perception of monitoring, communications with jurisdictional staff, negative consequences experienced, and risk for and concern about Ebola virus disease. A total of 294 DC FPUMs and 52 IN FPUMs responded. RESULTS: Directly actively monitored FPUMs in IN were more likely to report monitoring was difficult (P < 0.01), not being allowed to return to work (P = 0.01), and faster response times when reaching out to their assigned health department (P < 0.01). Overall all FPUMs, regardless of the monitoring method they underwent, perceived little risk and reported they felt monitoring protected public health. CONCLUSIONS: Our results display that while FPUMs preferred active monitoring, both polices equally reduced their concern, suggesting that less intensive polices achieve the same level of perceived effectiveness by those monitored while also reducing the amount of negative consequences they may face.

Racial and Socioeconomic Disparities in Cancer-Related Knowledge, Beliefs, and Behaviors in Indiana.

BACKGROUND: This statewide survey examined differences in cancer-related knowledge, beliefs, and behaviors between racial and socioeconomic groups in select counties in Indiana. METHODS: A stratified random sample of 7,979 people aged 18-75 who lived in one of 34 Indiana counties with higher cancer mortality rates than the state average, and were seen at least once in the past year in a statewide health system were mailed surveys. RESULTS: Completed surveys were returned by 970 participants, yielding a 12% response rate. Black respondents were less likely to perceive they were at risk for cancer and less worried about getting cancer. Individuals most likely to perceive that they were unlikely to get cancer were more often black, with low incomes (less than $20,000) or high incomes ($50,000 or more), or less than a high school degree. Black women were greater than six times more likely to be adherent to cervical cancer screening. Higher income was associated with receiving a sigmoidoscopy in the last 5 years and a lung scan in the past year. Those with the highest incomes were more likely to engage in physical activity. Both income and education were inversely related to smoking. CONCLUSIONS: Socioeconomic and racial disparities were observed in health behaviors and receipt of cancer screening. Black individuals had less worry about cancer. IMPACT: Understanding populations for whom cancer disparities exist and geographic areas where the cancer burden is disproportionately high is essential to decision-making about research priorities and the use of public health resources.

Scratching the Surface of Psychiatric Services Distribution and Public Health: an Indiana Assessment.

Mental illness is a leading cause of disability with many public health implications. Previous studies have demonstrated a national shortage of psychiatrists, particularly in rural areas. An analysis of how this workforce distribution relates to population demographics and public/behavioral health is lacking in the literature. This study encompassed a statewide assessment of the Indiana psychiatric workforce as it relates to population characteristics and public/behavioral health. This study's findings demonstrate a profoundly low psychiatry workforce in rural counties of Indiana. The low psychiatry workforce capacity in rural counties is so disparate that the demographic and public/behavioral health characteristics differ from the State averages in the same manner as counties without a psychiatrist at all. The psychiatric workforce distribution did not differ significantly on the basis of poverty prevalence. The potential utility of indicators of population health was also evaluated and revealed that social factors such as poverty and Medicaid prevalence may be superior to more traditional measures.

Prevalence of pain reports in pediatric primary care and association with demographics, body mass index, and exam findings: a cross-sectional study.

BACKGROUND: Pediatric pain is associated to patient weight and demographics in specialized settings, but pain prevalence and its associated patient attributes in general pediatric outpatient care are unknown. Our objective was to determine the rate of positive pain screenings in pediatric primary care and evaluate the relationship between reported pain and obesity, demographics, and exam findings during routine pediatric encounters. METHODS: Cross-sectional observational study of 26,180 patients ages 2 to 19 seen in five urban pediatric primary care clinics between 2009 and 2016. Data were collected from systematic screening using a computerized clinical decision support system. Multivariable logistic regressions were used to analyze the association between pain reporting and obesity (body mass index), age, sex, race, season, insurance status, clinic site, prior pain reporting, pain reporting method, and exam findings. RESULTS: Pain was reported by the patient or caregiver in 14.9% of visits. In adjusted models, pain reporting was associated with obesity (Odds Ratio (OR) 1.23, 95% Confidence Intervals (CI) 1.11-1.35) and severe obesity (OR 1.32, CI 1.17-1.49); adolescents (OR 1.47, CI 1.33-1.61); and females (OR 1.21, CI 1.12-1.29). Pain reported at the preceding visit increased odds of pain reporting 2.67 times (CI 2.42-2.95). Abnormal abdominal, extremity, ear, nose, throat, and lymph node exams were associated with pain reporting. Pain reporting increased in minority races within clinics that predominantly saw a concordant race. CONCLUSIONS: Pain is common in general pediatric encounters, and occurs more frequently in obese children and those who previously reported pain. Pain reporting may be influenced by seasonal variation and clinic factors. Future pediatric pain screening may be guided by associated risk factors to improve identification and targeted healthcare interventions.

The implications of insurance status on presentation, surgical management, and mortality among nonmetastatic breast cancer patients in Indiana.

BACKGROUND: The National Breast and Cervical Cancer Early Detection Program seeks to reduce health care disparities by providing uninsured and underinsured women access to screening mammograms. The objective of this study is to identify the differences in presentation, surgical management, and mortality among nonmetastatic uninsured patients diagnosed through Indiana's Breast and Cervical Cancer Program compared with patients with private and government (Medicare or Medicaid) insurance. METHODS: Study data were obtained using the Indiana state cancer registry and Indiana's Breast and Cervical Cancer Program. Women aged 50 to 64 with an index diagnosis of stage 0 to III breast cancer from January 1, 2006 to December 31, 2013, were included in the study. Bivariate intergroup analysis was conducted. Kaplan-Meier estimates between insurance types were compared using the log rank test. All-cause mortality was evaluated using a mixed effects model. RESULTS: The groups differed significantly for sociodemographic and clinical variables. Uninsured Indiana Breast and Cervical Cancer Program patients presented with later disease stage (P < .001) and had the highest overall mortality (hazard ratio 2.2, P = .003). Surgical management only differed among stage III patients (P = .012). CONCLUSION: To improve insurance-based disparities in Indiana, implementation of the Breast and Cervical Cancer Program in conjunction with expansion of insurance coverage to vulnerable low-income populations need to be optimized.

Social Vulnerability in Congenital Syphilis Case Mothers: Qualitative Assessment of Cases in Indiana, 2014 to 2016.

BACKGROUND: Congenital syphilis occurs when a pregnant woman with syphilis is not diagnosed or treated and the infection is passed in utero, causing severe infant morbidity and mortality. Congenital syphilis is easily prevented if women receive timely and adequate prenatal care. Cases of congenital syphilis are considered indicators of problems in the safety net. However, maternal social and behavioral factors can impede women's care, even when providers follow guidelines. METHODS: We reviewed case interviews and maternal records for 23 congenital syphilis cases reported to the Centers for Disease Control and Prevention from Indiana between 2014 and 2016. We used qualitative methods to analyze narrative notes from maternal interviews to learn more about factors that potentially contributed to congenital syphilis cases. RESULTS: All providers followed Centers for Disease Control and Prevention and state recommendations for screening and treatment for pregnant women with syphilis. Twenty-one of 23 women had health insurance. The number of prenatal care visits women had was suboptimal; more than one third of women had no prenatal care. Nearly one third of women's only risk factor was sex with a primary male sex partner. The majority of women suffered social vulnerabilities, including homelessness, substance abuse, and incarceration. CONCLUSIONS: Despite provider adherence to guidelines and health insurance availability, some pregnant women with syphilis are unlikely to receive timely diagnosis and treatment. Pregnant women at high risk for syphilis may need additional social and material support to prevent a congenital syphilis case. Additional efforts are needed to reach the male partners of vulnerable females with syphilis.