Nurse Work Environment and Hospital-Onset Clostridioides difficile Infection.

BACKGROUND: Clostridioides difficile is the leading cause of hospital-onset diarrhea and is associated with increased lengths of stay and mortality. While some hospitals have successfully reduced the burden of C. difficile infection (CDI), many still struggle to reduce hospital-onset CDI. Nurses-because of their close proximity to patients-are an important resource in the prevention of hospital-onset CDI. OBJECTIVE: Determine whether there is an association between the nurse work environment and hospital-onset CDI. METHODS: Survey data of 2016 were available from 15,982 nurses employed in 353 acute care hospitals. These data, aggregated to the hospital level, provided measures of the nurse work environments. They were merged with 2016 hospital-onset CDI data from Hospital Compare, which provided our outcome measure-whether a hospital had a standardized infection ratio (SIR) above or below the national average SIR. Hospitals above the average SIR had more infections than predicted when compared to the national average. RESULTS: In all, 188 hospitals (53%) had SIRs higher than the national average. The odds of hospitals having higher than average SIRs were significantly lower, with odds ratios ranging from 0.35 to 0.45, in hospitals in the highest quartile for all four nurse work environment subscales (managerial support, nurse participation in hospital governance, physician-nurse relations, and adequate staffing) than in hospitals in the lowest quartile. CONCLUSIONS: Findings show an association between the work environment of nurses and hospital-onset CDI. A promising strategy to lower hospital-onset CDI and other infections is a serious and sustained commitment by hospital leaders to significantly improve nurse work environments.

Association Between Online Information-Seeking and Adherence to Guidelines for Breast and Prostate Cancer Screening.

INTRODUCTION: From 2012 through 2014, the US Preventive Services Task Force (USPSTF) recommended biennial mammography for women aged 50 to 75 and recommended against the prostate specific antigen (PSA) test for men of any age, emphasizing informed decision making for patients. Because of time constraints and other patient health priorities, health care providers often do not discuss benefits and risks associated with cancer screening. We analyzed the association between seeking information online about breast and prostate cancer and undergoing mammography and PSA screening. METHODS: We assessed guideline concordance in mammogram and PSA screening, according to USPSTF guidelines for those at average risk for disease. We used data on 4,537 survey respondents from the National Cancer Institute's Health Information National Trends Survey (HINTS) for 2012 through 2014 to assess online information-seeking, defined as whether people searched for cancer-related information online in the past 12 months. We used HINTS data to construct multivariable logistic regression models to isolate the effect of exposure to online information on the incidence of cancer screening. RESULTS: After controlling for available covariates, we found no significant association between online information-seeking and guideline-concordant screening for breast or prostate cancer. Significant covariate values suggest that factors related to access to care were significantly associated with conformance to mammography guidelines for women recommended for screening and that physician discussion was significantly associated with nonconformance to guidelines for prostate-specific antigen screening (ie, having a PSA test in spite of the recommendation not to have it). Decomposition of differences between those who sought online information and those who did not indicated that uncontrolled confounders probably had little effect on findings. CONCLUSION: We found little evidence that online information-seeking significantly affected screening for breast or prostate cancer in accordance with USPSTF guidelines among people at average risk.

The Role of Public and Private Insurance Expansions and Premiums for Low-income Parents: Lessons From State Experiences.

BACKGROUND: Numerous states have implemented policies expanding public insurance eligibility or subsidizing private insurance for parents. OBJECTIVES: To assess the impact of parental health insurance expansions from 1999 to 2012 on the likelihood that parents are insured; their children are insured; both the parent and child within a family unit are insured; and the type of insurance. DESIGN: Cross-sectional analysis of the 2000-2013 March supplements to the Current Population Survey, with data from the Medical Expenditure Panel Survey-Insurance Component and the Area Resource File. METHODS: Cross-state and within-state multivariable regression models estimated the effects of health insurance expansions targeting parents using 2-way fixed effect modeling and difference-in-difference modeling. All analyses controlled for household, parent, child, and local area characteristics that could affect insurance status. RESULTS: Expansions increased parental coverage by 2.5 percentage points, and increased the likelihood of both parent and child being insured by 2.1 percentage points. Substantial variation was observed by type of expansion. Public expansions without premiums and special subsidized plan expansions had the largest effects on parental coverage and increased the likelihood of jointly insuring both the parent and child. Higher premiums were a substantial deterrent to parents' insurance. CONCLUSIONS: Our findings suggest that premiums and the type of insurance expansion can have a substantial impact on the insurance status of the family. These findings can help inform states as they continue to make decisions about expanding Medicaid under the Affordable Care Act to cover all family members.

Index of cardiometabolic health: a new method of measuring allostatic load using electronic health records.

OBJECTIVE: We developed a measure of allostatic load from electronic medical records (EMRs), which we named "Index of Cardiometabolic Health" (ICMH). METHODS: Data were collected from participants' EMRs and a written survey in 2005. We computed allostatic load scores using the ICMH score and two previously described approaches. RESULTS: We included 1865 employed adults who were 25-59 years old. Although the magnitude of the association was small, all methods of were predictive of SF-12 physical component subscales (all p < 0.001). CONCLUSION: We found that the ICMH had similar relationships with health-related quality of life as previously reported in the literature.

Enhancing screening and early detection among women transitioning to Medicare from the NBCCEDP in Georgia.

PURPOSE: The National Breast and Cervical Cancer Early Detection Program through each state's administration serves millions of low-income and uninsured women aged 40-64. Our purpose was to assess whether cases screened through Georgia's Breast and Cervical Cancer Program (BCCP) were diagnosed at an earlier stage of disease and whether those who used the state's program regularly continued to obtain age-appropriate screens as they aged out of BCCP into Medicare between 2000 and 2005. METHODS: We used BCCP screening data to identify women with more than one screen and an interval of 18 months or less between screens as "regular" users of BCCP. Using the linked BCCP and Medicare enrollment/claims data, we tested whether women with any BCCP use (n = 3,134) or "regular" users (n = 1,590) were more likely than women not using BCCP (n = 10,086) to exhibit regular screening under Medicare. We used linked BCCP and Georgia Cancer Registry data to examine breast cancer incidence and stage at diagnosis of BCCP women compared to the Georgia population. RESULTS: Under Medicare, almost 63 % of women with any BCCP use were re-screened versus 51 % of non-BCCP users. The probability of being screened within 18 months of Medicare enrollment was 3.5 % points higher for any BCCP user and 17.7 points higher for "regular" BCCP users, compared to nonusers. Among Black non-Hispanics, the difference for any BCCP user was 13.7 % points and for regular users, 22.4 % points. A larger percentage of BCCP users were diagnosed at in situ or localized disease stage than overall. CONCLUSIONS: The majority of women aging out of the GA BCCP 2000-2005 had used the program to obtain regular mammography. Regular users of GA BCCP continued to be screened within appropriate intervals once enrolled in Medicare due perhaps to educational and support components of BCCP.

Examination of the Black-White racial disparity in severe maternal morbidity among Georgia deliveries, 2016 to 2020.

BACKGROUND: Studies find that delivery hospital explains a significant portion of the Black-White gap in severe maternal morbidity. No such studies have focused on the US Southeast, where racial disparities are widest, and few have examined the relative contribution of hospital, residential, and maternal factors. OBJECTIVE: This study aimed to estimate the portion of Georgia's Black-White gap in severe maternal morbidity during delivery through 42 days postpartum explained by hospital, residential, and maternal factors. STUDY DESIGN: Using linked Georgia hospital discharge, birth, and fetal death records for 2016 through 2020, we identified 413,124 deliveries to non-Hispanic White (229,357; 56%) or Black (183,767; 44%) individuals. We linked hospital data from the American Hospital Association and Center for Medicare and Medicaid Services, and area data from the Area Resource File and American Community Survey. We identified severe maternal morbidity indicator conditions during delivery or subsequent hospitalizations through 42 days postpartum. Using race-specific logistic models followed by a decomposition technique, we estimated the portion of the Black-White severe maternal morbidity gap explained by the following: (1) sociodemographic factors (age, education, marital status, and nativity), (2) medical conditions (diabetes mellitus, gestational diabetes, chronic hypertension, gestational hypertension or preeclampsia, and smoking), (3) obstetrical factors (singleton or multiple, and birth order); (4) access to care (no or third trimester care, and payer), (5) hospital factors that are time-varying (delivery volume, deliveries per full-time equivalent nurse, doctor communication, patient safety, and adverse event composite score) or measured time-invariant characteristics (ownership, profit status, religious affiliation, teaching status, and perinatal level), and (6) residential factors (county urban/rural classification, percent uninsured women of reproductive age, obstetrician-gynecologists per women of reproductive age, number of federally-qualified and community health centers, medically-underserved area [yes/no], and census tract neighborhood deprivation index). We estimated models with and without hospital fixed-effects, which account for unobserved time-invariant hospital characteristics such as within-hospital care processes or unmeasured hospital-specific factors. RESULTS: There was 1.8 times the rate of severe maternal morbidity per 100 discharges among non-Hispanic Black (3.15) than among White (1.73) individuals, with an explained proportion of 30.4% in models without and 49.8% in models with hospital fixed-effects. In the latter, hospital fixed-effects explained the largest portion of the Black-White severe maternal morbidity gap (15.1%) followed by access to care (14.9%) and sociodemographic factors (14.4%), with residential factors being protective for Black individuals (-7.5%). Smaller proportions were explained by medical (5.6%), obstetrical (4.0%), and time-varying hospital factors (3.2%). Within each category, the largest explanatory portion was payer type (13.3%) for access to care, marital status (10.3%) for sociodemographic, gestational hypertension (3.3%) for medical, birth order (3.6%) for obstetrical, and patient safety indicator (3.1%) for time-varying hospital factors. CONCLUSION: Models with hospital fixed-effects explain a greater proportion of Georgia's Black-White severe maternal morbidity gap than models without them, thereby supporting the point that differences in care processes or other unmeasured factors within the same hospital translate into racial differences in severe maternal morbidity during delivery through 42 days postpartum. Research is needed to discern and ameliorate sources of within-hospital differences in care. The substantial proportion of the gap attributable to racial differences in access to care and sociodemographic factors points to other needed policy interventions.

Medication exposure in pregnancy risk evaluation program: the prevalence of asthma medication use during pregnancy.

Asthma is one of the most common chronic diseases in women of reproductive age, occurring in up to 8 % of pregnancies. The objective of this study is to assess the prevalence of asthma medication use during pregnancy in a large diverse cohort. We identified women aged 15-45 years who delivered a live born infant between 2001 and 2007 across 11 U.S. health plans within the Medication Exposure in Pregnancy Risk Evaluation Program (MEPREP). Using health plans' administrative and claims data, and birth certificate data, we identified deliveries for which women filled asthma medications from 90 days before pregnancy through delivery. Prevalence (%) was calculated for asthma diagnosis and medication dispensing. There were 586,276 infants from 575,632 eligible deliveries in the MEPREP cohort. Asthma prevalence among mothers was 6.7 %, increasing from 5.5 % in 2001 to 7.8 % in 2007. A total of 9.7 % (n = 55,914) of women were dispensed asthma medications during pregnancy. The overall prevalence of maintenance-only medication, rescue-only medication, and combined maintenance and rescue medication was 0.6, 6.7, and 2.4 % respectively. The prevalence of maintenance-only use doubled during the study period from 0.4 to 0.8 %, while rescue-only use decreased from 7.4 to 5.8 %. In this large population-based pregnancy cohort, the prevalence of asthma diagnoses increased over time. The dispensing of maintenance-only medication increased over time, while rescue-only medication dispensing decreased over time.

Extent of maternal morbidity in a managed care population in georgia.

BACKGROUND: Although maternal deaths are among the most tragic events related to pregnancy, they are uncommon in the US and, therefore, inadequate indicators of a woman's pregnancy-related health. Maternal morbidity has become a more useful measure for surveillance and research. Traditional attempts to monitor maternal morbidity have used hospital discharge data, which include data only on complications that resulted in hospitalisation, underestimating the frequency and scope of complications. METHODS: To obtain a more accurate assessment of morbidity, we applied a validated computerised algorithm to identify pregnancies and pregnancy-related complications in a defined population enrolled in a health maintenance organisation in the south-eastern US. We examined the most common morbidities by pregnancy outcome and maternal characteristics. RESULTS: We identified 37 741 pregnancies; in half (50.7%), at least one complication occurred. The five most common were urinary tract infections, anaemia, mental health conditions, pelvic and perineal complications, and obstetrical infections. Complications were more likely in women with low socio-economic status (SES), and among non-Hispanic Black women compared with non-Hispanic White women. Multivariable models stratified by race/ethnicity indicated that in pregnancies among non-Hispanic White women, low SES had a modest effect on the odds of having preexisting medical conditions [adjusted odd ratio (AOR) 1.3 [95% confidence interval (CI) 1.2, 1.5]] or having any morbidity (AOR 1.3 [95% CI 1.2, 1.4]). Low SES had little effect on complications among non-Hispanic Black women. CONCLUSION: Our findings suggest that comprehensive health insurance coverage may lessen the unfavourable impact of socio-economic disadvantage on the risk of maternal morbidity.

SARS-CoV-2 Outcomes: The Role of Patient Characteristics and Chronic Disease Comorbidities.

Several patient demographics such as race/ethnicity and comorbid chronic conditions are associated with severity of illness among COVID-19 patients. This study examines national data of COVID-19 patients to estimate the likelihood that these characteristics are associated with a hospital admission, admission to an intensive care unit (ICU), and length of hospital stay. Using logistic regressions, the authors found that minority populations (Black, Asian, and Hispanic) were 21% to 35% more likely to be hospitalized than Whites. Moreover, patients with multiple chronic conditions also were more likely to be hospitalized, admitted to the ICU, and had longer lengths of stay. Results highlight the need to target vaccines to the most vulnerable populations during COVID-19 but also for future outbreaks.

Elementary School-Based Health Centers and Access to Preventive and Asthma-Related Care Among Publicly Insured Children With Asthma in Georgia.

OBJECTIVES: We assessed the effects of 3 new elementary school-based health centers (SBHCs) in disparate Georgia communities-predominantly non-Hispanic Black semi-urban, predominantly Hispanic urban, and predominantly non-Hispanic White rural-on asthma case management among children insured by Medicaid/Children's Health Insurance Program (CHIP). METHODS: We used a quasi-experimental difference-in-differences analysis to measure changes in the treatment of children with asthma, Medicaid/CHIP, and access to an SBHC (treatment, n = 193) and children in the same county without such access (control, n = 163) in school years 2011-2013 and 2013-2018. Among children with access to an SBHC (n = 193), we tested for differences between users (34%) and nonusers of SBHCs. We used International Classification of Diseases diagnosis codes, Current Procedural Terminology codes, and National Drug Codes to measure well-child visits and influenza immunization; ≥3 asthma-related visits, asthma-relief medication, asthma-control medication, and ≥2 asthma-control medications; and emergency department visits during the child-school year. RESULTS: We found an increase of about 19 (P = .01) to 33 (P < .001) percentage points in the probability of having ≥3 asthma-related visits per child-school year and an increase of about 22 (P = .003) to 24 (P < .001) percentage points in the receipt of asthma-relief medication, among users of the predominantly non-Hispanic Black and Hispanic SBHCs. We found a 19 (P = .01) to 29 (P < .001) percentage-point increase in receipt of asthma-control medication and a 15 (P = .03) to 30 (P < .001) percentage-point increase in receipt of ≥2 asthma-control medications among users. Increases were largest in the predominantly non-Hispanic Black SBHC. CONCLUSION: Implementation and use of elementary SBHCs can increase case management and recommended medications among racial/ethnic minority and publicly insured children with asthma.

Infant delivery costs related to maternal smoking: an update.

INTRODUCTION: Adverse maternal and infant health outcomes due to maternal smoking are well known. Previous estimates of health care costs for infants at delivery attributable to maternal smoking were $366 million, $704 per smoker, in 1996 dollars. Changes in antenatal and neonatal care, medical care inflation, and declines in the prevalence of maternal smoking call for an updated analysis. METHODS: We used Pregnancy Risk Assessment Monitoring System for 2001/2002 to estimate the association of maternal smoking to Neonatal Intensive Care Unit (NICU) admission and, in turn, the length of stay for infants admitted/not admitted. Models are then used with 2003 natality files to derive predicted expenses as is and "as if" mothers did not smoke. The difference in these predicted expenses is smoking attributable expenses (SAEs). The updated analysis incorporated Hispanic ethnicity as an additional variable, data from 27 as opposed to 13 states, and updated (2004) NICU costs per night. RESULTS: In contrast to earlier work, we find no significant association of maternal smoking and NICU admission but rather, a positive effect on the length of stay of exposed infants once admitted to the NICU. SAEs were estimated at $122 million (CI = -$29m to $285m) nationally and $279 (CI = -$76 to $653) per maternal smoker in 2004 dollars. CONCLUSIONS: Declines in maternal smoking prevalence between the mid-1990s and 2003 combined with a weaker relationship of maternal smoking to NICU admission offset medical care inflation such that infants' SAEs declined. Yet, these are significant in magnitude, incurred immediately and highly preventable.

Postpartum Medicaid Coverage and Contraceptive Use Before and After Ohio's Medicaid Expansion Under the Affordable Care Act.

BACKGROUND: Ensuring that women with Medicaid-covered births retain coverage beyond 60 days postpartum can help women to receive care that will improve their health outcomes. Little is known about the extent to which the Affordable Care Act (ACA) Medicaid expansion has allowed for longer postpartum coverage as more women entering Medicaid under a pregnancy eligibility category could now become income eligible. This study investigates whether Ohio's Medicaid expansion increased continuous enrollment and use of covered services postpartum, including postpartum visit attendance, receipt of contraceptive counseling, and use of contraceptive methods. METHODS: We used Ohio's linked Medicaid claims and vital records data to derive a study cohort whose prepregnancy and 6-month postpartum period occurred fully in either before (January 2011 to June 2013) or after (November 2014 to December 2015) the ACA Medicaid expansion implementation period (N = 170,787 after exclusions). We categorized women in this cohort according to whether they were pregnancy eligible (the treatment group) or income eligible (the comparison group) as they entered Medicaid and used multivariate logistic regression to test for differences in the association of the ACA expansion with their postpartum enrollment in Medicaid and use of services. RESULTS: Women who entered Ohio Medicaid in the pregnancy eligible category had a 7.7 percentage point increase in the probability of remaining continuously enrolled 6 months postpartum relative to those entering as income eligible. Income eligible women had approximately a 5.0 percentage point increased likelihood of both a postpartum visit and use of long-acting reversible contraceptives. Pregnancy-eligible women had a significant but smaller (approximately 2 percentage point) increase in the likelihood of long-acting reversible contraceptive use. CONCLUSIONS: Ohio's ACA Medicaid expansion was associated with a significant increase in the probability of women's continuous enrollment in Medicaid and use of long-acting reversible contraceptives through 6 months postpartum. Together, these changes translate into decreased risks of unintended pregnancy and short interpregnancy intervals.

Effect of Elementary School-Based Health Centers in Georgia on the Use of Preventive Services.

INTRODUCTION: This study measures effects on the receipt of preventive care among children enrolled in Georgia's Medicaid or Children's Health Insurance Program associated with the implementation of new elementary school-based health centers. The study sites differed by geographic environment and predominant race/ethnicity (rural white, non-Hispanic; black, small city; and suburban Hispanic). METHODS: A quasi-experimental treatment/control cohort study used Medicaid/Children's Health Insurance Program claims/enrollment data for children in school years before implementation (2011-2012 and 2012-2013) versus after implementation (2013-2014 to 2016-2017) of school-based health centers to estimate effects on preventive care among children with (treatment) and without (control) access to a school-based health center. Data analysis was performed in 2017-2019. There were 1,531 unique children in the treatment group with an average of 4.18 school years observed and 1,737 in the control group with 4.32 school years observed. A total of 1,243 Medicaid/Children's Health Insurance Program-insured children in the treatment group used their school-based health centers. RESULTS: Significant increases in well-child visits (5.9 percentage points, p<0.01) and influenza vaccination (6.9 percentage points, p<0.01) were found for children with versus without a new school-based health center. This represents a 15% increase from the pre-implementation percentage (38.8%) with a well-child visit and a 25% increase in influenza vaccinations. Increases were found only in the 2 school-based health centers with predominantly minority students. The 18.7 percentage point (p<0.01) increase in diet/counseling among obese/overweight Hispanic children represented a doubling from a 15.3% baseline. CONCLUSIONS: Implementation of elementary school-based health centers increased the receipt of key preventive care among young, publicly insured children in urban areas of Georgia, with potential reductions in racial and ethnic disparities.

Trends in Treatment and Spending for Patients Receiving Outpatient Treatment of Depression in the United States, 1998-2015.

Context: After marked increases from 1987 to 1997, trends in depression treatment in the United States increased modestly from 1998 to 2007. However, multiple policy changes that expanded insurance coverage for mental health conditions may have shifted these trends again since 2007. Objective: To examine national trends in outpatient treatment of depression from 1998 to 2015, with particular focus on 2007 to 2015. Design, Setting, and Participants: This analysis of the use of health services and spending for treatment of depression in the United States assessed data from the 1998 (n = 22 953), 2007 (n = 29 370), and 2015 (n = 33 893) Medical Expenditure Panel Surveys (MEPSs). Participants included respondent households to the nationally representative survey. Data were analyzed from June 15 through December 18, 2018. Main Outcomes and Measures: Rates of outpatient and pharmaceutical treatment of depression; counts of outpatient visits, psychotherapy visits, and prescriptions; and expenditures. Results: The analysis included 86 216 individuals from the 1998, 2007, and 2015 MEPSs. Respondents' mean (SD) age was 37.2 (22.7) years; 45 086 (52.3%) were female, 24 312 (28.2%) were Hispanic, 15 463 (17.9%) were black, and 62 926 (72.9%) were white. Rates of outpatient treatment of depression increased from 2.36 (95% CI, 2.12-2.61) per 100 population in 1998 to 3.47 (95% CI, 3.16-3.79) per 100 population in 2015. The proportion of respondents who were treated for depression using psychotherapy decreased from 53.7% (95% CI, 48.3%-59.1%) in 1998 to 43.2% (95% CI, 39.0%-47.4%) in 2007 and then increased to 50.4% (95% CI, 46.0%-54.9%) in 2015, whereas the proportion receiving pharmacotherapy remained steady at 81.9% (95% CI, 77.9%-85.9%) in 1998, 82.4% (95% CI, 79.3%-85.4%) in 2007, and 80.8% (95% CI, 77.9%-83.7%) in 2015. After adjusting for inflation using 2015 US dollars, prescription expenditures for these individuals decreased from $848 (95% CI, $713-$984) per year in 1998 to $603 (95% CI, $484-$722) per year in 2015, whereas the mean number of prescriptions decreased from 7.64 (95% CI, 6.61-8.67) in 1998 to 7.03 (95% CI, 6.51-7.56) in 2015. National expenditures for outpatient treatment of depression increased from $12 430 000 000 in 1997 to $15 554 000 000 in 2007 and then to $17 404 000 000 in 2015, consistent with a slowing growth in national outpatient expenditures for depression. The percentage of this spending that came from self-pay (uninsured) individuals decreased from 32% in 1998 to 29% in 2007 and then to 20% in 2015. This decrease was largely associated with increasing Medicaid coverage, because the percentage of this spending covered was 19% in 1998, 15% in 2007, and 36% in 2015. Conclusions and Relevance: Recent policy changes that increased insurance coverage for depression may be associated with reduced uninsured burden and with modest increases in the prevalence of and overall spending for outpatient treatment of depression. The lower-than-expected rate of treatment suggests that substantial barriers remain to individuals receiving treatment for their depression.

Children's Health Insurance Program Expansions: What Works for Families?

We examine the impact of Children's Health Insurance Program (CHIP) eligibility expansions 1999 to 2012 on child and joint parent/child insurance coverage. We use changes in state CHIP income eligibility levels and data from the Current Population Survey Annual Social and Economic Supplement to create child/parent dyads. We use logistic regression to estimate marginal effects of eligibility expansions on coverage in families with incomes below 300% federal poverty level (FPL) and, in turn, 150% to 300% FPL. The latter is the income range most expansions targeted. We find CHIP expansions increased public coverage among children in families 150% to 300% FPL by 2.5 percentage points (pp). We find increased joint parent/child coverage of 2.3 pp (P = .055) but only in states where the public eligibility levels for parent and child are within 50 pp. In these states, the CHIP expansion increased the probability that both parent/child are publicly insured (2.5 pp) among insured dyads, but where the eligibility levels are further apart (51-150 pp; >150 pp), CHIP expansions increase the probability of mixed coverage-one public, one private-by 0.9 to 1.5 pp. Overall, families made decisions regarding coverage that put the child first but parents took advantage of joint parent/child coverage when eligibility levels were close. Joint public parent/child coverage can have positive care-seeking effects as well as reduced financial burdens for low-income families.

Prepregnancy Insurance and Timely Prenatal Care for Medicaid Births: Before and After the Affordable Care Act in Ohio.

Background/Objective: Persistent instability in insurance coverage before and after pregnancy among low-income mothers in the United States contributes to delayed prenatal care and poor infant outcomes. States that expand Medicaid under the Affordable Care Act (ACA) make public insurance free for many low-income women regardless of parental or pregnancy status. Our objective is to analyze the effects of expanding Medicaid in Ohio on enrollment of pregnant women and receipt of recommended prenatal care. A key objective in the state is to address infant mortality as Ohio ranks above the national average and racial disparities persist. Materials and Methods: We used linked enrollment/claims/birth certificate data for women with Medicaid-paid deliveries/births, aged 19-44 years with months of last menstrual period (LMP) in calendar year 2011-2015 (N = 290,091). We used interrupted time-series analysis of enrollment prepregnancy and receipt of guideline-concordant screenings (anemia, asymptomatic bacteriuria, chlamydia, human immunodeficiency virus [HIV], and TORCH) and prenatal vitamins after versus before the expansion. We stratified by parity since first-time mothers would be impacted more. Results: We found almost a 12 percentage point increase in enrollment prepregnancy among first-time mothers compared with almost a 6 percentage point increase for parous women. We found significant increases in all screens and vitamins for both groups. TORCH screening increased 8 percentage points and receipt of prenatal vitamins almost 14 percentage points, by the end of 2015 for first-time mothers, compared with 5 and 4 percentage points, respectively, for parous women. Conclusions: Early enrollment and prenatal care for low-income women in Ohio could erode if the state's Medicaid expansion is altered.

Association of Social Service Spending, Environmental Quality, and Health Behaviors on Health Outcomes.

Recent studies on state-level spending on social services have shown that states with higher ratios of social to health care spending were associated with better health outcomes. This study extends this work by examining the association of specific elements of social service spending and other determinants of health, such as health behaviors, education, and environmental factors at the metropolitan/city level, on several measures of health outcomes between 2005 and 2014. This study found that several potential determinants of health including exercise, air pollution, smoking, per pupil educational spending, and several types of social service spending were associated with improvements in health outcomes. These health outcomes included age-adjusted mortality, chronic disease prevalence, days of poor health, and obesity rates. The results suggest that a broader strategy beyond health care that includes investments in social services, improved environmental quality, and health behaviors could improve the health of communities.

Antibiotic-Resistant Infection Treatment Costs Have Doubled Since 2002, Now Exceeding $2 Billion Annually.

Antibiotic-resistant infections are a global health care concern. The Centers for Disease Control and Prevention estimates that 23,000 Americans with these infections die each year. Rising infection rates add to the costs of health care and compromise the quality of medical and surgical procedures provided. Little is known about the national health care costs attributable to treating the infections. Using data from the Medical Expenditure Panel Survey, we estimated the incremental health care costs of treating a resistant infection as well as the total national costs of treating such infections. To our knowledge, this is the first national estimate of the costs for treating the infections. We found that antibiotic resistance added $1,383 to the cost of treating a patient with a bacterial infection. Using our estimate of the number of such infections in 2014, this amounts to a national cost of $2.2 billion annually. The need for innovative new infection prevention programs, antibiotics, and vaccines to prevent and treat antibiotic-resistant infections is an international priority.

Impacts of the Affordable Care Act's Medicaid Expansion on Women of Reproductive Age: Differences by Parental Status and State Policies.

INTRODUCTION: We use data from the Behavioral Risk Factor Surveillance System (BRFSS) from 2012 to 2015 to estimate the effects of the Affordable Care Act's (ACA) Medicaid expansions on insurance coverage and access to care for low-income women of reproductive age (19-44). METHODS: We use two-way fixed effects difference-in-differences models to estimate the effects of Medicaid expansions on low-income (<100% of the Federal Poverty Level) women of reproductive age. Additional models are stratified to estimate effects based on women's parental status, pre-ACA state Medicaid eligibility levels, and the presence of a state Medicaid family planning waiver. RESULTS: ACA Medicaid expansions decreased uninsurance among low-income women of reproductive age by 13.2 percentage points. This decrease was driven by a decrease of 27.4 percentage points for women without dependent children, who also experienced a decrease in the likelihood of not having a personal doctor (13.3 percentage points). We find a 3.8-percentage point reduction in the likelihood of experiencing a cost barrier to care among all women, but no significant effects for other access measures or subgroups. When stratified by state policies, decreases in uninsurance were greater in states expanding from pre-ACA eligibility levels of less than 50% of Federal Poverty Level (19.4 percentage points) and in states without a Medicaid family planning waiver (17.6 percentage points). CONCLUSIONS: The ACA Medicaid expansion increased insurance coverage for low-income women of reproductive age, with the greatest effects for women without dependent children and women residing in states with relatively lower pre-ACA Medicaid eligibility levels or with no family planning waiver before the ACA.

Prevalence And Spending Associated With Patients Who Have A Behavioral Health Disorder And Other Conditions.

People with multiple medical conditions are a growing and increasingly costly segment of the U.S. POPULATION: Despite the co-occurrence of physical and behavioral health comorbidities, the US health care system tends to treat these conditions separately rather than holistically. To identify opportunities for population health improvement, we examined the treated prevalence of and health care spending on behavioral health disorders, by the number of coexisting physical disorders, among noninstitutionalized adults. The vast majority (85 percent) of spending was attributed to treatment of the physical comorbidities. Only 15 percent was attributed to treatments of the behavioral disorders; of these, a primary diagnosis of depression was most common, seen in 57 percent of the sample. These findings suggest the potential to improve outcomes and reduce spending by applying collaborative care models more broadly. Policies should promote payment and delivery reforms that advance the integration of behavioral health and primary care.