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Pregnancy is a time when optimization of nutrition is critically important, yet pregnant women with substance use disorders face unique nutritional challenges. The aim of this short communication is to summarize existing knowledge about nutritional interventions used in substance use disorders for pregnant and parenting women with opioid use disorder (OUD) and substance use disorders and to inform program development by maternity care and treatment providers. We conducted a narrative review of nutritional interventions for pregnant women with OUD and performed environmental scanning to explore current practice. To gain knowledge about the unique nutritional needs of pregnant women with OUD, we searched the medical literature using Medical Subject Headings terms and key words combining the concepts of nutrition, pregnancy, and substance use. To explore current practice, we interviewed staff of a geographically diverse sample of 35 programs treating women with substance use disorders across the United Stated and Canada on their approach to prenatal nutrition for clients. Literature review identified two studies evaluating the nutritional status of pregnant women with substance use disorders, but neither described nutritional interventions. Lower body mass index and folate, B12, and iron deficiencies were found in women with OUD compared with women without OUD. Two additional studies integrated nutritional interventions in substance use treatment for non-pregnant populations, resulting in significant improvements in dietary habits and psychological well-being for participants. Of 15 substance use treatment programs that responded to our query, only two incorporated longitudinal nutrition curricula for pregnant women. Pregnancy is a time when a healthy diet is critically important for maternal, fetal, and neonatal health; however, pregnant women with OUD are at significant risk of malnutrition. There is an urgent need to address food insecurity and develop targeted nutrition education programs for pregnant women in early recovery. • Perinatal opioid use disorder is a persistent public health problem. • Pregnant women are vulnerable to nutritional deficits related to chronic opioid use. • There is an urgent need for targeted nutrition interventions for this population. [ABSTRACT FROM AUTHOR]

The Institute of Medicine expressed a need for improved sweating rate (ṁsw) prediction models that calculate hourly and daily water needs based on metabolic rate, clothing, and environment. More than 25 years ago, the original Shapiro prediction equation (OSE) was formulated as ṁsw (g·m-2·h-1) = 27.9·Ereq·(Emax)-0.455, where Ereq is required evaporative heat loss and Emax is maximum evaporative power of the environment; OSE was developed for a limited set of environments, exposures times, and clothing systems. Recent evidence shows that OSE often overpredicts fluid needs. Our study developed a corrected OSE and a new ṁsw prediction equation by using independent data sets from a wide range of environmental conditions, metabolic rates (rest to ≣450 W1m2), and variable exercise durations. Whole body sweat losses were carefully measured in 101 volunteers (80 males and 21 females; >500 observations) by using a variety of metabolic rates over a range of environmental conditions (ambient temperature, 15- 46°C; water vapor pressure, 0.27-4.45 kPa; wind speed, 0.4-2.5 m/s), clothing, and equipment combinations and durations (2-8 h). Data are expressed as grams per square meter per hour and were analyzed using fuzzy piecewise regression. OSE overpredicted sweating rates (P < 0.003) compared with observed ṁsw. Both the correction equation (OSEC), ṁsw = 147∙exp (0.001205E), and a new piece-wise (PW) equation, ṁsw = 147 + 1.527Ereq - 0.87Emax were derived, compared with OSE, and then cross-validated against independent data (21 males and 9 females; >200 observations). OSEc and PW were more accurate predictors of sweating rate (58 and 65% more accurate, P < 0.01) and produced minimal error (standard error estimate < 100 g∙m-2∙h-1) for conditions both within and outside the original OSE domain of validity. The new equations provide for more accurate sweat predictions over a broader range of conditions with applications to public health, military, occupational, and sports medicine settings. [ABSTRACT FROM AUTHOR]

The 1987 report of the Adult Treatment Panel (ATP) of the National Cholesterol Education Program (NCEP) was concerned with who should be treated for high blood cholesterol levels and how they should be treated. Total cholesterol levels were classified for identification of cases. Low-density lipoprotein cholesterol levels were classified for decisions about treatment. The ATP guidelines emphasize diet as the primary approach to treating patients with high blood cholesterol levels. The recommendations of the report are being widely publicized through physician and patient educational programs and the mass media. The report of the Population Panel of the NCEP provides recommendations and guidelines for the public health approach to the problem of high cholesterol levels. When the recommendations of both reports are fully implemented, it is expected that substantial reductions in the incidence of coronary heart disease will be achieved. [ABSTRACT FROM AUTHOR]

Objective: To propose population-based benchmarking as an alternative to needs- or demand-based planning for estimating a reasonably sized, clinically active physician workforce for the United States and its regional health care markets.Design: Cross-sectional analysis of 1993 American Medical Association and American Osteopathic Association physician masterfiles.Population: The resident population of the 306 hospital referral regions in the United States.Main Outcome Measures: Per capita number of clinically active physicians by specialty adjusted for age and sex population differences and out-of-region health care utilization. The measured physician workforce was compared with 4 benchmarks: the staffing within a large (2.4 million members) health maintenance organization (HMO), a hospital referral region dominated by managed care (Minneapolis, Minn), a hospital referral region dominated by fee-for-service (Wichita, Kan), and the proposed "balanced" physician supply (50% generalists).Results: The proportion of the US population residing in hospital referral regions with a higher per capita generalist workforce than the benchmark was 96% for the HMO benchmark, 60% for Wichita, and 27% for Minneapolis. The specialist workforce exceeded all 3 benchmarks for 74% of the population. The per capita workforce of generalists was not related to the proportion of generalists among regions (Pearson correlation coefficient=0.06; P=.26).Conclusions: Population-based benchmarking offers practical advantages to needs- or demand-based planning for estimating a reasonably sized per capita workforce of clinically active physicians. The physician workforce within the benchmarks of an HMO and health care markets indicates the varying opportunities for regional physician employment and services. The ratio of generalists to specialists does not measure the adequacy of the supply of the generalist workforce either nationally or for specific regions. Research measuring the relationship between physician workforces of different sizes and population outcomes will guide the selection of future regional benchmarks. [ABSTRACT FROM AUTHOR]

Background: The theory of managed competition holds that the quality and economy of health care delivery will improve if independent provider groups compete for consumers. In sparsely populated areas where relatively few providers are required, however, it is not feasible to divide the provider community into competing groups. We examined the demographic features of health markets in the United States to see what proportion of the population lives in areas that might successfully support managed competition.Methods: The ratios of physicians to enrollees in large staff-model health maintenance organizations were determined as an indicator of the staffing needs of an efficient health plan. These ratios were used to estimate the populations necessary to support health organizations with various ranges of specialty services. Metropolitan areas with populations large enough to support managed competition were identified.Results: We estimated that a health care services market with a population of 1.2 million could support three fully independent plans. A population of 360,000 could support three plans that independently provided most acute care hospital services, but the plans would need to share hospital facilities and contract for tertiary services. A population of 180,000 could support three plans that provided primary care and many basic specialty services but that shared inpatient cardiology and urology services. Health markets with populations greater than 180,000 would include 71 percent of the U.S. population; those with populations greater than 360,000, 63 percent; and those with populations greater than 1.2 million, 42 percent.Conclusions: Reform of the U.S. health care system through expansion of managed competition is feasible in medium-sized or large metropolitan areas. Smaller metropolitan areas and rural areas would require alternative forms of organization and regulation of health care providers in order to improve quality and economy. [ABSTRACT FROM AUTHOR]

The Tumor Combination Guide was created at the request of the U. S. Food and Drug Administration (FDA) by a Working Group of biopharmaceutical experts from international societies of toxicologic pathology, the Food and Drug Administration (FDA), and members of the Standard for Exchange of Nonclinical Data (SEND) initiative, to assist pharmacology/toxicology reviewers and biostatisticians in statistical analysis of nonclinical tumor data. The guide will also be useful to study and peer review pathologists in interpreting the tumor data. This guide provides a higher-level hierarchy of tumor types or categories correlating the tumor names from the International Harmonization of Nomenclature and Diagnostic Criteria (INHAND) publications with those available in the NEOPLASM controlled terminology (CT) code list in SEND. The version of CT used in a study should be referenced in the nonclinical study data reviewer's guide (SDRG) (section 3.1) of electronic submissions to the FDA. The tumor combination guide instructions and examples are in a tabular format to make informed decisions for combining tumor data for statistical analysis. The strategy for combining tumor types for statistical analysis is based on scientific criteria gleaned from the current scientific literature; as SEND and INHAND terminology and information evolve, this guide will be updated., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Since 1972, the year of the inaugural issue of Journal of Obstetric, Gynecologic, & Neonatal Nursing, substance use during pregnancy has remained a public health concern in the United States. This concern is currently exacerbated by factors such as the opioid and stimulant use crisis and widening health and social inequities for many women and families. The purposes of this historical commentary are to describe trends in the perception of women with substance use disorder and their infants and related sociolegal implications and to trace the evolution of related nursing practice and research during the past 50 years. We provide recommendations and priorities for practice and research, including further integration of support for the mother-infant dyad, cross-sectoral collaborations, and equity-oriented practices and policies., Competing Interests: Conflict of Interest The authors report no conflicts of interest or relevant financial relationships., (Copyright © 2022 AWHONN, the Association of Women’s Health, Obstetric and Neonatal Nurses. Published by Elsevier Inc. All rights reserved.)

Introduction: Maternal mortality rates have been increasing in the United States for decades. For several years, opioid overdoses have been a leading cause of maternal mortality in several states. New Hampshire (NH) is a particularly severe case, with 50% of all maternal deaths being caused by drug-related overdoses from 2016 to 2017. We report on the implementation of a point-of-care naloxone distribution program for an Ob/Gyn clinic in NH., Methods: Naloxone distribution was tracked to measure program implementation. Proportion of patients screened for naloxone need was calculated monthly. Proportion of patients with which discussions about naloxone took place was calculated quarterly. Patient and provider perspectives on the program were captured periodically. Statistical process control charts monitored change over time and evaluated for special-cause variation., Results: The clinic has distributed 12 doses of naloxone since program implementation in April 2020. Despite the challenges posed by the COVID-19 pandemic, screening for naloxone need has remained at pre-pandemic rates (moving average: 73%), except for a decrease in April-May 2020. Patient-provider discussions about naloxone have also remained at pre-pandemic rates (moving average: 51%). Qualitative feedback from patients and providers has indicated that the program has been well-received by both groups., Discussion: The purpose of this description is to provide a framework for other Ob/Gyn clinics to use in implementing similar naloxone distribution programs. Although too early to determine whether this intervention will result in a significant decrease in maternal mortality due to opioid overdose in our patients, this measure will continue to be tracked annually. Implementation of a naloxone program in the obstetrical context provides an important way to improve outcomes for a vulnerable perinatal population., (© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Objective: Evidence of the health and environmental harms of red meat is growing, yet little is known about which harms may be most impactful to include in meat reduction messages. This study examined which harms consumers are most aware of and which most discourage them from wanting to eat red meat., Design: Within-subjects randomised experiment. Participants responded to questions about their awareness of, and perceived discouragement in response to, eight health and eight environmental harms of red meat presented in random order. Discouragement was assessed on a 1-to-5 Likert-type scale., Setting: Online survey., Participants: 544 US parents., Results: A minority of participants reported awareness that red meat contributes to health harms (ranging from 8 % awareness for prostate cancer to 28 % for heart disease) or environmental harms (ranging from 13 % for water shortages and deforestation to 22 % for climate change). Among specific harms, heart disease elicited the most discouragement (mean = 2·82 out of 5), followed by early death (mean = 2·79) and plants and animals going extinct (mean = 2·75), though most harms elicited similar discouragement (range of means, 2·60-2·82). In multivariable analyses, participants who were younger, identified as Black, identified as politically liberal, had higher general perceptions that red meat is bad for health and had higher usual red meat consumption reported being more discouraged from wanting to eat red meat in response to health and environmental harms (all P < 0·05)., Conclusions: Messages about a variety of health and environmental harms of red meat could inform consumers and motivate reductions in red meat consumption.

Each year approximately 700 people die in the United States from pregnancy-related complications. We describe the characteristics of pregnancy-related deaths due to mental health conditions, including substance use disorders, and identify opportunities for prevention based on recommendations from fourteen state Maternal Mortality Review Committees (MMRCs) from the period 2008-17. Among 421 pregnancy-related deaths with an MMRC-determined underlying cause of death, 11 percent were due to mental health conditions. Pregnancy-related mental health deaths were more likely than deaths from other causes to be determined by an MMRC to be preventable (100 percent versus 64 percent), to occur among non-Hispanic White people (86 percent versus 45 percent), and to occur 43-365 days postpartum (63 percent versus 18 percent). Sixty-three percent of pregnancy-related mental health deaths were by suicide. Nearly three-quarters of people with a pregnancy-related mental health cause of death had a history of depression, and more than two-thirds had past or current substance use. MMRC recommendations can be used to prioritize interventions and can inform strategies to enable screening, care coordination, and continuation of care throughout pregnancy and the year postpartum.

Multisectoral investments over the past decade have accelerated the growth of Maternal Mortality Review Committee (MMRC) programs across the United States. The U.S. Centers for Disease Control and Prevention (CDC) launched the Enhancing Reviews and Surveillance to Eliminate Maternal Mortality (ERASE MM) Initiative in 2019. Under ERASE MM, CDC directly funds 24 U.S. jurisdictions supporting MMRCs in 25 states. With increased investment in programs nationally, the CDC has designed a performance management framework to identify areas for improvement or sustained achievement and standardize measurement of key process benchmarks across programs. This article presents a report on the baseline measures collected through this performance management approach and suggests key partnerships required to continue to accelerate progress toward the elimination of preventable maternal mortality in the United States.

Background: This study investigated the relationship between smoking and hearing loss and deafness (HLD) and whether the relationship is modified by genetic variation. Data for these analyses was from the subset of Japanese American families collected as part of the American Diabetes Association Genetics of Non-insulin Dependent Diabetes Mellitus study. Logistic regression with generalized estimating equations assessed the relationship between HLD and smoking. Nonparametric linkage analysis identified genetic regions harboring HLD susceptibility genes and ordered subset analysis was used to identify regions showing evidence for gene-smoking interactions. Genetic variants within these candidate regions were then each tested for interaction with smoking using logistic regression models., Results: After adjusting for age, sex, diabetes status and smoking duration, for each pack of cigarettes smoked per day, risk of HLD increased 4.58 times (odds ratio (OR) = 4.58; 95% Confidence Interval (CI): (1.40,15.03)), and ever smokers were over 5 times more likely than nonsmokers to report HLD (OR = 5.22; 95% CI: (1.24, 22.03)). Suggestive evidence for linkage for HLD was observed in multiple genomic regions (Chromosomes 5p15, 8p23 and 17q21), and additional suggestive regions were identified when considering interactions with smoking status (Chromosomes 7p21, 11q23, 12q32, 15q26, and 20q13) and packs-per-day (Chromosome 8q21)., Conclusions: To our knowledge this was the first report of possible gene-by-smoking interactions in HLD using family data. Additional work, including independent replication, is needed to understand the basis of these findings. HLD are important public health issues and understanding the contributions of genetic and environmental factors may inform public health messages and policies., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Background: The 2003 revision of the standard United States death certificate included a set of "pregnancy checkboxes" to ascertain whether a woman was pregnant at the time of her death or within the preceding year. Studies validating the pregnancy checkbox have indicated a potentially high number of errors, resulting in inflated maternal mortality rates. In response to concerns about pregnancy checkbox data quality, four state health departments implemented a quality assurance pilot project examining the accuracy of the pregnancy checkbox for 2016 deaths., Methods: State staff conducted searches for birth or fetal death reports that matched a death certificate, within a year of death. If a pregnancy checkbox was marked, but no match was found between certificates, confirmation of the pregnancy was attempted through active follow-up with the death certifier. From December 2017 to January 2018, the quality assurance pilot was evaluated through three focus groups with key stakeholders. The evaluation aimed to describe opportunities and challenges to implementation, sustainability, and lessons learned., Results: Opportunities for implementing the pilot included written documentation of the quality assurance process, improved certifier response, improved data quality, and increased data timeliness for Maternal Mortality Review Committees. Challenges included initial delays in certifier response, staff turnover, high caseloads in relation to resources, and lack of pilot prioritization in the health department. All four pilot states plan to sustain the pregnancy checkbox quality assurance process in some capacity., Conclusions: Implementing quality assurance processes for the pregnancy checkbox may ultimately improve state and national maternal death data quality., (© 2019 Wiley Periodicals, Inc.)

HIV Vaccine Trials Network (HVTN) 505 was a phase 2b efficacy trial of a DNA/recombinant adenovirus 5 (rAd5) HIV vaccine regimen. Although the trial was stopped early for lack of overall efficacy, later correlates of risk and sieve analyses generated the hypothesis that the DNA/rAd5 vaccine regimen protected some vaccinees from HIV infection yet enhanced HIV infection risk for others. Here, we assessed whether and how host Fc gamma receptor (FcγR) genetic variations influenced the DNA/rAd5 vaccine regimen's effect on HIV infection risk. We found that vaccine receipt significantly increased HIV acquisition compared with placebo receipt among participants carrying the FCGR2C-TATA haplotype (comprising minor alleles of four FCGR2C single-nucleotide polymorphism [SNP] sites) (hazard ratio [HR] = 9.79, P  = 0.035) but not among participants without the haplotype (HR = 0.86, P  = 0.67); the interaction of vaccine and haplotype effect was significant ( P  = 0.034). Similarly, vaccine receipt increased HIV acquisition compared with placebo receipt among participants carrying the FCGR3B-AGA haplotype (comprising minor alleles of the 3 FCGR3B SNPs) (HR = 2.78, P  = 0.058) but not among participants without the haplotype (HR = 0.73, P  = 0.44); again, the interaction of vaccine and haplotype was significant ( P = 0.047). The FCGR3B-AGA haplotype also influenced whether a combined Env-specific CD8 + T-cell polyfunctionality score and IgG response correlated significantly with HIV risk; an FCGR2A SNP and two FCGR2B SNPs influenced whether anti-gp140 antibody-dependent cellular phagocytosis correlated significantly with HIV risk. These results provide further evidence that Fc gamma receptor genetic variations may modulate HIV vaccine effects and immune function after HIV vaccination. IMPORTANCE By analyzing data from the HVTN 505 efficacy trial of a DNA/recombinant adenovirus 5 (rAd5) vaccine regimen, we found that host genetics, specifically Fc gamma receptor genetic variations, influenced whether receiving the DNA/rAd5 regimen was beneficial, neutral, or detrimental to an individual with respect to HIV-1 acquisition risk. Moreover, Fc gamma receptor genetic variations influenced immune responses to the DNA/rAd5 vaccine regimen. Thus, Fc gamma receptor genetic variations should be considered in the analysis of future HIV vaccine trials and the development of HIV vaccines., (Copyright © 2019 American Society for Microbiology.)

Approximately 700 women die in the United States each year as a result of pregnancy or its complications, and significant racial/ethnic disparities in pregnancy-related mortality exist (1). Data from CDC's Pregnancy Mortality Surveillance System (PMSS) for 2007-2016 were analyzed. Pregnancy-related mortality ratios (PRMRs) (i.e., pregnancy-related deaths per 100,000 live births) were analyzed by demographic characteristics and state PRMR tertiles (i.e., states with lowest, middle, and highest PRMR); cause-specific proportionate mortality by race/ethnicity also was calculated. Over the period analyzed, the U.S. overall PRMR was 16.7 pregnancy-related deaths per 100,000 births. Non-Hispanic black (black) and non-Hispanic American Indian/Alaska Native (AI/AN) women experienced higher PRMRs (40.8 and 29.7, respectively) than did all other racial/ethnic groups. This disparity persisted over time and across age groups. The PRMR for black and AI/AN women aged ≥30 years was approximately four to five times that for their white counterparts. PRMRs for black and AI/AN women with at least some college education were higher than those for all other racial/ethnic groups with less than a high school diploma. Among state PRMR tertiles, the PRMRs for black and AI/AN women were 2.8-3.3 and 1.7-3.3 times as high, respectively, as those for non-Hispanic white (white) women. Significant differences in cause-specific proportionate mortality were observed among racial/ethnic populations. Strategies to address racial/ethnic disparities in pregnancy-related deaths, including improving women's health and access to quality care in the preconception, pregnancy, and postpartum periods, can be implemented through coordination at the community, health facility, patient, provider, and system levels., Competing Interests: All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.

Background: Approximately 700 women die from pregnancy-related complications in the United States every year., Methods: Data from CDC's national Pregnancy Mortality Surveillance System (PMSS) for 2011-2015 were analyzed. Pregnancy-related mortality ratios (pregnancy-related deaths per 100,000 live births; PRMRs) were calculated overall and by sociodemographic characteristics. The distribution of pregnancy-related deaths by timing relative to the end of pregnancy and leading causes of death were calculated. Detailed data on pregnancy-related deaths during 2013-2017 from 13 state maternal mortality review committees (MMRCs) were analyzed for preventability, factors that contributed to pregnancy-related deaths, and MMRC-identified prevention strategies to address contributing factors., Results: For 2011-2015, the national PRMR was 17.2 per 100,000 live births. Non-Hispanic black (black) women and American Indian/Alaska Native women had the highest PRMRs (42.8 and 32.5, respectively), 3.3 and 2.5 times as high, respectively, as the PRMR for non-Hispanic white (white) women (13.0). Timing of death was known for 87.7% (2,990) of pregnancy-related deaths. Among these deaths, 31.3% occurred during pregnancy, 16.9% on the day of delivery, 18.6% 1-6 days postpartum, 21.4% 7-42 days postpartum, and 11.7% 43-365 days postpartum. Leading causes of death included cardiovascular conditions, infection, and hemorrhage, and varied by timing. Approximately sixty percent of pregnancy-related deaths from state MMRCs were determined to be preventable and did not differ significantly by race/ethnicity or timing of death. MMRC data indicated that multiple factors contributed to pregnancy-related deaths. Contributing factors and prevention strategies can be categorized at the community, health facility, patient, provider, and system levels and include improving access to, and coordination and delivery of, quality care., Conclusions: Pregnancy-related deaths occurred during pregnancy, around the time of delivery, and up to 1 year postpartum; leading causes varied by timing of death. Approximately three in five pregnancy-related deaths were preventable., Implications for Public Health Practice: Strategies to address contributing factors to pregnancy-related deaths can be enacted at the community, health facility, patient, provider, and system levels., Competing Interests: All authors have completed and submitted the ICMJE form for disclosure of potential conflicts of interest. David Goodman reports that the Building U.S. Capacity to Review and Prevent Maternal Deaths initiative was supported in part by funding from Merck, through an award agreement with its Merck for Mothers program. No other potential conflicts of interest were disclosed.

Findings from epidemiological studies have found that physical activity (PA) is associated with a lower risk of colorectal cancer (CRC). Recent studies have found an increased CRC risk with higher sitting time (ST); however, many studies did not include PA as a potential confounder. The objective of this project was to investigate the independent and combined associations of ST and PA with the risk of incident CRC, specifically colon and rectal cancer. Participants in the Women's Health Initiative Observational Study (n=74 870), 50-79 years of age self-reported ST and PA at baseline, years 3 and 6. Incident CRC was the primary outcome; colon and rectal cancers were the secondary outcomes, which were centrally adjudicated. Over a 13-year follow-up period, 1145 incident cases of CRC were documented. A positive age-adjusted association was found between higher ST (≥10 vs. <5 h/day) and CRC (P for trend=0.04) and colon cancer (P for trend=0.05); however, these associations were attenuated and no longer significant in multivariable-adjusted models. Compared with inactive women (≤1.7 MET-h/week), the multivariable risk of CRC in the high PA (>20 MET-h/week) group was 0.81 (95% confidence interval: 0.66-1.00; P for trend 0.04). Compared with inactive women with high ST (≥10 h/day), there was a trend toward reduced multivariable CRC risks with higher PA irrespective of ST level (interaction=0.64). We observed an inverse association between leisure time PA and the risk of CRC, particularly for rectal cancer. There was no association between ST and CRC in multivariable models.

Despite many efforts at the state, city, and national levels over the past 70 years, a nationwide consensus on how best to identify, review, and prevent maternal deaths remains challenging. We present a brief history of maternal death surveillance in the United States and compare the three systems of national surveillance that exist today: the National Vital Statistics System, the Pregnancy Mortality Surveillance System, and maternal mortality review committees. We discuss strategies to address the perennial challenges of shared terminology and accurate, comparable data among maternal mortality review committees. Finally, we propose that with the opportunity presented by a systematized shared data system that can accurately account for all maternal deaths, state and local-level maternal mortality review committees could become the gold standard for understanding the true burden of maternal mortality at the national level.

Perinatal regionalization, or risk-appropriate care, is an approach that classifies facilities based on capabilities to ensure women and infants receive care at a facility that aligns with their risk. The CDC designed the Levels of Care Assessment Tool (LOCATe) to assist jurisdictions working in risk-appropriate care in assessing a facility's level of maternal and neonatal care aligned with the most current American College of Obstetricians and Gynecologists/Society for Maternal-Fetal Medicine (ACOG/SMFM) and American Academy of Pediatrics (AAP) guidelines. LOCATe produces standardized assessments for each hospital that participates and facilitates conversations among stakeholders in risk-appropriate care. This article describes how public health departments implement and use LOCATe in their jurisdictions.

Objectives: In 1996, the U.S. Congress passed legislation making female genital mutilation/cutting (FGM/C) illegal in the United States. CDC published the first estimates of the number of women and girls at risk for FGM/C in 1997. Since 2012, various constituencies have again raised concerns about the practice in the United States. We updated an earlier estimate of the number of women and girls in the United States who were at risk for FGM/C or its consequences., Methods: We estimated the number of women and girls who were at risk for undergoing FGM/C or its consequences in 2012 by applying country-specific prevalence of FGM/C to the estimated number of women and girls living in the United States who were born in that country or who lived with a parent born in that country., Results: Approximately 513,000 women and girls in the United States were at risk for FGM/C or its consequences in 2012, which was more than three times higher than the earlier estimate, based on 1990 data. The increase in the number of women and girls younger than 18 years of age at risk for FGM/C was more than four times that of previous estimates., Conclusion: The estimated increase was wholly a result of rapid growth in the number of immigrants from FGM/C-practicing countries living in the United States and not from increases in FGM/C prevalence in those countries. Scientifically valid information regarding whether women or their daughters have actually undergone FGM/C and related information that can contribute to efforts to prevent the practice in the United States and provide needed health services to women who have undergone FGM/C are needed.

Background: The provision of effective surgical care for end-stage renal disease (ESRD) requires efficient evaluation and transplantation. Prior assessments of transplant access have focused primarily on waitlisted patients rather than the overall populations served by "accountable" providers of transplant services., Methods: Novel transplant referral regions (TRRs) were defined using United Network for Organ Sharing registry data for 301,092 kidney transplant listings to assign zip codes to "accountable" transplant programs. Subsequently, risk-adjusted observed to expected (O:E) rates of listing and transplant procedures were calculated for each TRR. Finally, the impact of variation in TRR listing and transplant rates on mortality was assessed for ESRD patients <60 years old diagnosed between 2000 and 2008., Results: In total, 113 TRRs were defined, 51% of which included >1 transplant center. The likelihood of being evaluated and listed for transplant varied significantly between TRRs (risk-adjusted O:E, 0.58-1.95). Variation was greater for the overall transplant rate (0.62-2.19), living donor transplantation (0.36-3.08), and donation after cardiac death transplant (0-15.4) than for standard criteria donors (0.64-2.86). Mortality was decreased for ESRD patients living in TRRs in the highest tertile of listings (hazard ratio, 0.89; P < .0001) and transplantation (0.90; P < .0001)., Conclusion: Residence in a TRR with care delivery systems that increase access to transplant services is associated with significant, risk-adjusted decreases in ESRD-related mortality. Transplant centers should continue to focus on improving access to care within the communities they serve., (Copyright © 2014 Mosby, Inc. All rights reserved.)

Problem/condition: Promoting preconception health can potentially improve women's health and pregnancy outcomes. Evidence-based interventions exist to reduce many maternal behaviors and chronic conditions that are associated with adverse pregnancy outcomes such as tobacco use, alcohol use, inadequate folic acid intake, obesity, hypertension, and diabetes. The 2006 national recommendations to improve preconception health included monitoring improvements in preconception health by maximizing public health surveillance (CDC. Recommendations to improve preconception health and health care-United States: a report of the CDC/ATSDR Preconception Care Work Group and the Select Panel on Preconception Care. MMWR 2006;55[No. RR-6])., Reporting Period Covered: 2009 for 38 indicators; 2008 for one indicator. DESCRIPTION OF SURVEILLANCE SYSTEMS: The Pregnancy Risk Assessment Monitoring System (PRAMS) is an ongoing state- and population-based surveillance system designed to monitor selected self-reported maternal behaviors, conditions, and experiences that occur shortly before, during, and after pregnancy among women who deliver live-born infants. The Behavioral Risk Factor Surveillance System (BRFSS) is an ongoing state-based telephone survey of noninstitutionalized adults aged ≥18 years in the United States that collects state-level data on health-related risk behaviors, chronic conditions, and preventive health services. This surveillance summary includes PRAMS data from 29 reporting areas (n = 40,388 respondents) and BRFSS data from 51 reporting areas (n = 62,875 respondents) for nonpregnant women of reproductive age (aged 18-44 years). To establish a comprehensive, nationally recognized set of indicators to be used for monitoring, evaluation, and response, a volunteer group of policy and program leaders and epidemiologists identified 45 core state preconception health indicators, of which 41 rely on PRAMS or BRFSS as data sources. This report includes 39 of the 41 core state preconception health indicators for which data are available through PRAMS or BRFSS. The two indicators from these data sources that are not described in this report are human immunodeficiency virus (HIV) testing within a year before the most recent pregnancy and heavy drinking on at least one occasion during the preceding month. Ten preconception health domains are examined: general health status and life satisfaction, social determinants of health, health care, reproductive health and family planning, tobacco and alcohol use, nutrition and physical activity, mental health, emotional and social support, chronic conditions, and infections. Weighted prevalence estimates and 95% confidence intervals (95% CIs)for 39 indicators are presented overall and for each reporting area and stratified by age group (18-24, 25-34, and 35-44 years) and women's race/ethnicity (non-Hispanic white, non-Hispanic black, non-Hispanic other, and Hispanic)., Results: This surveillance summary includes data for 39 of 41 indicators: 2009 data for 23 preconception health indicators that were monitored by PRAMS and 16 preconception health indicators that were monitored by BRFSS (one BRFSS indicator uses 2008 data). For two of the indicators that are included in this report (prepregnancy overweight or obesity and current overweight or obesity), separate measures of overweight and obesity were reported. All preconception health indicators varied by reporting area, and most indicators varied significantly by age group and race/ethnicity. Overall, 88.9% of women of reproductive age reported good, very good, or excellent general health status and life satisfaction (BRFSS). A high school/general equivalency diploma or higher education (social determinants of health domain) was reported by 94.7% of non-Hispanic white, 92.9% of non-Hispanic other, 91.1% of non-Hispanic black, and 70.9% of Hispanic women (BRFSS). Overall, health-care insurance coverage during the month before the most recent pregnancy (health-care domain) was 74.9% (PRAMS). A routine checkup during the preceding year was reported by 79.0% of non-Hispanic black, 65.1% of non-Hispanic white, 64.3% of other, and 63.0% of Hispanic women (BRFSS). Among women with a recent live birth (2-9 months since date of delivery), selected PRAMS results for the reproductive health and family planning, tobacco and alcohol use, and nutrition domains included several factors. Although 43% of women reported that their most recent pregnancy was unintended (unwanted or wanted to be pregnant later), approximately half (53%) of those who were not trying to get pregnant reported not using contraception at the time of conception. Smoking during the 3 months before pregnancy was reported by 25.1% of women, and drinking alcohol 3 months before pregnancy was reported by 54.2% of women. Daily use of a multivitamin, prenatal vitamin, or a folic acid supplement during the month before pregnancy was reported by 29.7% of women. Selected BRFSS results included indicators pertaining to the nutrition and physical activity, emotional and social support, and chronic conditions domains among women of reproductive age. Approximately one fourth (24.7%) of women were identified as being obese according to body mass index (BMI) on the basis of self-reported height and weight. Overall, 51.6% of women reported participation in recommended levels of physical activity per U.S. Department of Health and Human Services physical activity guidelines. Non-Hispanic whites reported the highest prevalence (85.0%) of having adequate emotional and social support, followed by other races/ethnicities (74.9%), Hispanics (70.5%), and non-Hispanic blacks (69.7%). Approximately 3.0% of persons reported ever being diagnosed with diabetes, and 10.2% of women reported ever being diagnosed with hypertension., Interpretation: The findings in this report underscore opportunities for improving the preconception health of U.S. women. Preconception health and women's health can be improved by reducing unintended pregnancies, reducing risky behaviors (e.g., smoking and drinking) among women of reproductive age, and ensuring that chronic conditions are under control. Evidence-based interventions and clinical practice guidelines exist to address these risks and to improve pregnancy outcomes and women's health in general. The results also highlight the need to increase access to health care for all nonpregnant women of reproductive age and the need to encourage the use of essential preventive services for women, including preconception health services. In addition, system changes in community settings can alleviate health problems resulting from inadequate social and emotional support and environments that foster unhealthy lifestyles. Policy changes can promote health equity by encouraging environments that promote healthier options in nutrition and physical activity. Finally, variation in the preconception health status of women by age and race/ethnicity underscores the need for implementing and scaling up proven strategies to reduce persistent health disparities among those at highest risk. Ongoing surveillance and research in preconception health are needed to monitor the influence of improved health-care access and coverage on women's prepregnancy and interpregnancy health status, pregnancy and infant outcomes, and health disparities., Public Health Action: Public health decision makers, program planners, researchers, and other key stakeholders can use the state-level PRAMS and BRFSS preconception health indicators to benchmark and monitor preconception health among women of reproductive age. These data also can be used to evaluate the effectiveness of preconception health state and national programs and to assess the need for new programs, program enhancements, and policies.

States can improve pregnancy outcomes by using a standard approach to assess infant mortality. The State Infant Mortality Collaborative (SIMC) developed a series of analyses to describe infant mortality in states, identify contributing factors to infant death, and develop the evidence base for implementing new or modifying existing programs and policies addressing infant mortality. The SIMC was conducted between 2004 and 2006 among five states: Delaware, Hawaii, Louisiana, Missouri, and North Carolina. States used analytic strategies in an iterative process to investigate contributors to infant mortality. Analyses were conducted within three domains: data reporting (quality, reporting, definitional criteria, and timeliness), cause and timing of infant death (classification of cause and fetal, neonatal, and postneonatal timing), and maturity and weight at birth/maturity and birth weight-specific mortality. All states identified the SIMC analyses as useful for examining infant mortality trends. In each of the three domains, SIMC results were used to identify important direct contributors to infant mortality including disparities, design or implement interventions to reduce infant death, and identify foci for additional analyses. While each state has unique structural, political, and programmatic circumstances, the SIMC model provides a systematic approach to investigating increasing or static infant mortality rates that can be easily replicated in all other states and allows for cross-state comparison of results.

Background: Cancer clusters garner considerable public and legislative attention, and there is often an expectation that cluster investigations in a community will reveal a causal link to an environmental exposure. At a 1989 national conference on disease clusters, it was reported that cluster studies conducted in the 1970s and 1980s rarely, if ever, produced important findings. We seek to answer the question: Have cancer cluster investigations conducted by US health agencies in the past 20 years improved our understanding of cancer etiology, or informed cancer prevention and control?, Methods: We reviewed publicly available cancer cluster investigation reports since 1990, obtained from literature searches and by canvassing all 50 states and the District of Columbia. Investigations were categorized with respect to cancer type(s), hypothesized exposure, whether perceived clusters were confirmed (e.g. by elevated incidence), and conclusions about a link between cancer(s) of concern and hypothesized environmental exposure(s)., Results: We reviewed 428 investigations evaluating 567 cancers of concern. An increase in incidence was confirmed for 72 (13%) cancer categories (including the category "all sites"). Three of those were linked (with variable degree of certainty) to hypothesized exposures, but only one investigation revealed a clear cause., Conclusions: It is fair to state that extensive efforts to find causes of community cancer clusters have not been successful. There are fundamental shortcomings to our current methods of investigating community cancer clusters. We recommend a multidisciplinary national dialogue on creative, innovative approaches to understanding when and why cancer and other chronic diseases cluster in space and time.

Purpose: To measure intensity of end-of-life (EOL) care for Medicare cancer patients and variations in care by age, gender, and race., Patients and Methods: This retrospective cohort analysis of Medicare claims (20% sample) examined 235,821 Medicare Parts A and B fee-for-service patients dying with poor-prognosis cancers between 2003 and 2007. Logistic regression models quantified associations between care intensity and age, gender, and race. Measures included hospitalizations, emergency department (ED) visits, intensive care unit (ICU) admissions, in-hospital deaths, late-life chemotherapy administration, overall and late hospice enrollment within six months of death., Results: Within 30 days of death, 61.3% of patients were hospitalized, 10.2% were hospitalized more than once, 10.2% visited an ED more than once, 23.7% had ICU admissions, and 28.8% died in-hospital. Within two weeks of death, 6% received chemotherapy. In their final six months, 55.2% accessed hospice, 15.1% within three days of death. Older age (≥75 versus <75) was associated with lower odds ratios (ORs) of 0.49 to 0.89 for aggressive care, and an OR of 0.92 (95% CI 0.89-0.95) for late hospice enrollment. Female gender was associated with lower ORs (0.82 to 0.86) for aggressive care, and an OR of 0.84 (95% CI 0.81-0.86) for late hospice enrollment. Black (versus nonblack) race was associated with higher ORs (1.08 to 1.38) for aggressive acute care, lower ORs for late chemotherapy, OR 0.76 (95% CI 0.71-0.81), and late hospice enrollment, OR 0.81 (95% CI 0.76-0.86)., Conclusions: Seniors dying with poor-prognosis cancer experience high-intensity care with rates varying by age, gender, and race.

We investigated the association between 2009 IOM recommendations and adverse infant outcomes by maternal prepregnancy body mass index (BMI). Birth outcomes for 570,672 women aged 18-40 years with a singleton full-term live-birth were assessed using 2004-2007 Florida live-birth certificates. Outcomes included large-for-gestational-age (LGA) and small-for-gestational-age (SGA). Associations between gestational weight change and outcomes were assessed for 10 BMI groups by calculating proportions, and logistic regression modeling was used to produce adjusted odds ratios (aORs) to account for the effect of confounders. We created comparison categories below and above recommendations using 2009 IOM recommendations as a reference. Of importance, 41.6% of women began pregnancy as overweight and obese and 51.2% gained weight excessively during pregnancy on the basis of 2009 IOM recommendations. Proportions of LGA were higher among obese women and increased with higher weight gain. Compared with recommended weight gain, aORs for LGA were lower with less than recommended gain (aOR range: 0.27-0.77) and higher with more than recommended gain (aOR range: 1.27-5.99). However, SGA was less prevalent among obese women, and the proportion of SGA by BMI was similar with higher weight gain. Gain less than recommended was associated with increased odds of SGA (aOR range: 1.11-2.97), and gain greater than recommended was associated with decreased odds of SGA (aOR range: 0.38-0.83). Gestational weight gain influenced the risk for LGA and SGA in opposite directions. Minimal weight gain or weight loss lowered risk for LGA among obese women. Compared with 1990 IOM recommendations, 2009 recommendations include weight gain ranges that are associated with lower risk of LGA and higher risk of SGA. Awareness of these tradeoffs may assist with clinical implementation of the 2009 IOM gestational weight gain recommendations. However, our results did not consider other maternal and infant outcomes related to gestational weight gain; therefore, the findings should be interpreted with caution.

We conducted a national random survey of Medicare beneficiaries to better understand the association between the supply of physicians and patients' perceptions of their health care. We found that patients living in areas with more physicians per capita had perceptions of their health care that were similar to those of patients in regions with fewer physicians. In addition, there were no significant differences between the groups of patients in terms of numbers of visits to their personal physician in the previous year; amount of time spent with a physician; or access to tests or specialists. Our results suggest that simply training more physicians is unlikely to lead to improved access to care. Instead, focusing health policy on improving the quality and organization of care may be more beneficial.

Context: Disparities in cancer care for rural residents and for African Americans have been documented, but the interaction of these factors is not well understood., Purpose: The authors examined the simultaneous influence of race and place of residence on access to and utilization of specialized cancer care in the United States., Methods: Access to specialized cancer care was measured using: (1) travel time to National Cancer Institute (NCI) Cancer Centers, academic medical centers, and any oncologist for the entire continental US population, and (2) per capita availability of oncologists for the entire United States. Utilization was measured as attendance at NCI Cancer Centers, specialized hospitals, and other hospitals in the Surveillance, Epidemiology, and End Results (SEER) program Medicare population from 1998-2004., Findings: In urban settings, travel times were shorter for African Americans compared with Caucasians for all three cancer care settings, but they were longer for rural African Americans traveling to NCI Cancer Centers. Per capita oncologist availability was not significantly different by race or place of residence. Urban African American patients were almost 70% more likely to attend an NCI Cancer Center than urban Caucasian patients (OR = 1.66; 95% CI 1.51-1.83), whereas rural African American patients were 58% less likely to attend an NCI Cancer Center than rural Caucasian patients (OR = 0.42; 95% CI 0.26-0.66)., Conclusions: Urban African Americans have similar or better access to specialized cancer care than urban Caucasians, but rural African Americans have relatively poor access and lower utilization compared with all other groups.

Richard Cooper has shown a positive association between health care quality and "total spending" at the state level, but he does not appear to understand the limitations of this total spending measure; simply adjusting for median age causes the significant positive correlation to disappear. Cooper also finds that some third factor-we think that it is "social capital"-is the key to explaining health care quality. Cooper may believe that this result challenges three decades of research by the Dartmouth group. Instead, it supports the group's view that improved efficiency-and not more doctors and hospital beds-is central to improving quality.

Background: Although access to cancer care is known to influence patient outcomes, to the authors' knowledge, little is known regarding geographic access to cancer care, and how it may vary by population characteristics. This study estimated travel time to specialized cancer care settings for the continental U.S. population and calculated per capita oncologist supply., Methods: The closest travel times were estimated using a network analysis of the road distance weighted by travel speeds from the population or geographic centroid of every ZIP area in the continental U.S. to that of the nearest cancer care setting under consideration: National Cancer Institute (NCI)-designated Cancer Centers, academic medical centers, and oncologists. Alaska and Hawaii were excluded because travel in these states is often not road-based. Population and geographic characteristics including race/ethnicity, income, education, and region were derived from U.S. Census 2000 data and from rural-urban commuting area classifications. Oncologist supply per 100,000 residents in Hospital Referral Regions (pHRRs) was estimated by region., Results: Travel times of

Context: In the past 30 years, the number of neonatologists has increased while total births have remained nearly constant. It is not known how equitably this expanded workforce is distributed., Objective: To determine the geographic distribution of neonatologists in the United States., Data Sources: 1996 American Medical Association physician masterfiles; 1999 survey of all U.S. neonatal intensive care units; 1995 American Hospital Association hospital survey; and 1995 U.S. vital records., Measures: The number of neonatologists and neonatal mid-level providers per live birth within 246 market-based regions., Results: The neonatology workforce varied substantially across neonatal intensive care regions. The number of neonatologists per 10,000 live births ranged from 1.2 to 25.6 with an interquintile range of 3.5 to 8.5. The weakly positive correlation between neonatologists and neonatal mid-level providers per live birth is not consistent with substitution of neonatal mid-level providers for neonatologists (Spearman rank-correlation coefficient, 0.17; P < 0.01). There was no difference in the percentage of neonatal fellows in the lowest and highest workforce quintile (14% vs. 16%) or in the percentage of neonatologists engaged predominantly in research, teaching, or administration (14% in lowest and highest quintiles)., Conclusions: The regional supply of neonatologists varies dramatically and cannot be explained by the substitution of neonatal mid-level providers or by the presence of academic medical centers. Further research is warranted to understand whether neonatal intensive care resources are located in accordance with risk and whether more resources improve newborn outcomes.

Objective: Asthma hospitalization rates continue to increase nationally for children despite efforts by the National Institutes of Health and specialty organizations to improve outcomes through the dissemination of practice guidelines. To understand the generalizability of national trends to regional populations, we studied childhood hospitalizations over a 10-year period in four northeastern states., Design: Longitudinal analysis of hospitalization rates by patient residence and patient characteristics using state hospital discharge datasets., Population: Age < 18 years residing in Maine, New Hampshire, Vermont, or New York state during the period 1985 to 1994., Results: In multivariate analyses (controlling for age, sex, race/ethnicity, median household income, metropolitan status), we found that New York asthma hospitalization rates increased 3.8% per annum (95% confidence interval: 3.3, 4.2), whereas in New Hampshire, rates decreased 5.8% (95% confidence interval: 7.6, 4.1). Maine and Vermont rates did not change significantly during the study period. Increased asthma hospitalization rates were noted in black and Hispanic populations, in children residing in zip codes with lower median household incomes, and in those living in metropolitan areas. Hospitalization rates for nonasthma causes fell substantially. As a result, the proportion of hospital days attributed to childhood asthma increased in all population groups., Conclusions: Asthma discharge rates measured by the state of residence or socioeconomic characteristic do not necessarily parallel national trends. None of the current hypotheses offered to explain national trends in asthma hospitalization rates (changes in disease severity, diagnostic substitution, or differences in the supply and character of medical care) can be the sole explanation of these regional trends. Efforts intended to improve asthma outcomes may benefit a greater number of children by redirecting resources toward specific populations identified through state hospital discharge datasets.

Objectives: This study examined the influence that distance from residence to the nearest hospital had on the likelihood of hospitalization and mortality., Methods: Hospitalizations were studied for Maine. New Hampshire, and Vermont during 1989 (adults) and for 1985 through 1989 (children) and for mortality (1989) in Medicare enrollees., Results: After other known predictors of hospitalization (age, sex, bed supply, median household income, rural residence, academic medical center, and presence of nursing home patients) were controlled for, the adjusted rate ratio of medical hospitalization for residents living more than 30 minutes away was 0.85 (95% confidence interval [CI] = 0.82, 0.88) for adults and 0.78 (95% CI = 0.74, 0.81) for children, compared with those living in a zip code with a hospital. Similar effects were seen for the four most common diagnosis-related groups for both adults and children. The likelihood of hospitalization for conditions usually requiring hospitalization and for mortality in the elderly did not differ by distance., Conclusions: Distance to the hospital exerts an important influence on hospitalization rates that is unlikely to be explained by illness rates.

Small area analysis, the examination of geographic variation in the medical care utilization of populations, provides a method for analyzing medical care resource use and can lead to improved medical care. Variations in rates of hospital admissions for most common causes of hospitalization are related to differences in the supply of medical care resources, such as hospital beds, and uncertainty in the outcomes of different diagnostic and therapeutic procedures. Introducing clinicians to practice variation can lead to process improvements. The article describes small area analysis and the limitations of this methodology.

The guidelines developed by the Adult Treatment Panel of the National Cholesterol Education Program identified low density lipoprotein (LDL) as the major atherogenic lipoprotein, and high levels of LDL-cholesterol as the primary target for cholesterol-lowering therapy. Low levels of high density lipoprotein (HDL)-cholesterol were recognized as a major risk factor for coronary heart disease. This report reexamines in depth the recommendations of the Adult Treatment Panel on HDL-cholesterol. Two major questions are discussed: (1) Should HDL-cholesterol levels be measured in all adults, as recommended for total cholesterol? (2) Should patients found to have a low serum HDL [corrected]-cholesterol level (less than 35 mg/dL [less than 0.91 mmol/L]) enter medical therapy to raise the level? The guidelines of the Adult Treatment Panel are reaffirmed as appropriate from the current perspective. These guidelines recommend that HDL-cholesterol levels be determined in patients deemed to be at high risk for coronary heart disease and suggest that HDL measurement is optional for individuals with borderline-high total levels. The guidelines of the Adult Treatment Panel recommend that low HDL-cholesterol levels be raised mainly by hygienic means (ie, smoking cessation, weight loss, aerobic exercise). When drug therapy is required for high LDL-cholesterol levels in the presence of low HDL levels, cholesterol-lowering drugs that concomitantly raise HDL should be given first priority.