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Background: The relationship between physical comorbidities and postpartum hospital readmission is well studied, with less research regarding the impact of mental health conditions on postpartum readmission. Methods: Using hospital discharge data (2016-2019) from the Hospital Cost and Utilization Project Nationwide Readmissions Database ( n  = 12,222,654 weighted), we evaluated the impact of mental health conditions (0, 1, 2, and ≥3), as well as five individual conditions (anxiety, depressive, bipolar, schizophrenic, and traumatic/stress-related conditions) on readmission within 42 days, 1-7 days ("early"), and 8-42 days ("late") of hospitalization for birth. Results: In adjusted analyses, the rate of 42-day readmission was 2.2 times higher for individuals with ≥3 mental health conditions compared to those with none (3.38% vs. 1.56%; p  < 0.001), 50% higher among individuals with 2 mental health conditions (2.33%; p  < 0.001), and 40% higher among individuals with 1 mental health condition (2.17%; p  < 0.001). We found increased adjusted risk of 42-day readmission for individuals with anxiety (1.98% vs. 1.59%; p  < 0.001), bipolar (2.38% vs. 1.60%; p  < 0.001), depressive (1.93% vs. 1.60%; p  < 0.001), schizophrenic (4.00% vs. 1.61%; p  < 0.001), and traumatic/stress-related conditions (2.21% vs. 1.61%; p  < 0.001), relative to individuals without the respective condition. Mental health conditions had larger impacts on late (8-42 day) relative to early (1-7 day) readmission. Conclusions: This study found strong relationships between mental health conditions during the hospitalization for birth and readmission within 42 days. Efforts to reduce the high rates of adverse perinatal outcomes in the United States should continue to address the impact of mental health conditions during pregnancy and throughout the postpartum period.

Background: Reducing health inequities in marginalized populations, including people with Medicaid insurance, requires care transformation to address medical and social needs that is supported and incentivized by tailored payment methods. Collaboration across health care stakeholders is essential to overcome health system fragmentation and implement sustainable reform in the United States (U.S.). This paper explores how multi-stakeholder teams operationalized the Roadmap to Advance Health Equity model during early stages of their journey to (a) build cultures of equity and (b) integrate health equity into care transformation and payment reform initiatives., Methods: Advancing Health Equity: Leading Care, Payment, and Systems Transformation is a national program in the U.S. funded by the Robert Wood Johnson Foundation that brings together multi-stakeholder teams to design and implement initiatives to advance health equity. Each team consisted of representatives from state Medicaid agencies, Medicaid managed care organizations, and health care delivery organizations in seven U.S. states. Between June and September 2021, semi-structured interviews were conducted with representatives ( n = 23) from all seven teams about experiences implementing the Roadmap to Advance Health Equity model with technical assistance from Advancing Health Equity., Results: Facilitators of building cultures of equity included (1) build upon preexisting intra-organizational cultures of equity, (2) recruit and promote diverse staff and build an inclusive culture, and (3) train staff on health equity and anti-racism. Teams faced challenges building inter-organizational cultures of equity. Facilitators of identifying a health equity focus area and its root causes included (1) use data to identify a health equity focus and (2) overcome stakeholder assumptions about inequities. Facilitators of implementing care transformation and payment reform included (1) partner with Medicaid members and individual providers and (2) support and incentivize equitable care and outcomes with payment. Facilitators of sustainability planning included (1) identify evidence of improved health equity focus and (2) maintain relationships among stakeholders. Teams faced challenges determining the role of the state Medicaid agency., Conclusions: Multi-stakeholder teams shared practical strategies for implementing the Roadmap to Advance Health Equity that can inform future efforts to build intra- and inter-organizational cultures of equity and integrate health equity into care delivery and payment systems., Competing Interests: MC co-chairs the Centers for Medicare and Medicaid Services Health Care Payment Learning and Action Network Health Equity Advisory Team and he is a member of the Bristol-Myers Squibb Company Health Equity Advisory Board and Blue Cross Blue Shield Health Equity Advisory Panel. SP and AS were employed by the company Center for Health Care Strategies. JM was employed by the company Institute for Medicaid Innovation. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Thorndike, Peterson, Spitzer, Patel, Smithey, Moore, Cook and Chin.)

Using National Center for Health Statistics data (2016-20), we evaluated variation in low birthweight and prematurity among racial and ethnic subcategories. Disparities as large as 2.3-fold among rates of low birthweight for "multiple race" subcategories underscore the need for granular data stratification and analysis by racial and ethnic subcategories to address the root causes of inequities in infant outcomes.

Perinatal mental health disorders are increasingly acknowledged as contributors to adverse maternal outcomes. We analyzed data from the Healthcare Cost and Utilization Project National Inpatient Sample (2016 and 2017) to estimate hospitalization cost, length-of-stay, and severe maternal morbidity associated with perinatal mental health disorders overall, as well as stratified by payer and by specific mental health category. We found that people with mental health disorders had $458 higher costs per delivery hospitalization and 50 percent higher rates of severe maternal morbidity compared with people without mental health disorders. We estimated increased annual delivery hospitalization costs of $102 million in the US among people with perinatal mental health conditions compared with those without. Furthermore, people diagnosed with trauma- or stress-related mental health disorders had even higher rates of hospitalization costs-$825 higher per delivery-and 87 percent higher rates of severe maternal morbidity compared with people without those diagnoses. These findings provide important information for perinatal mental health program feasibility and cost-effectiveness analyses and suggest the need for increased focus on trauma- and stress-related disorders.

What Is Known and Objective: Patient information leaflets (PILs) or Patient Leaflets (PLs) formally accompany dispensed medicines and are intended to provide the patient with information on how to use the medicine safely. To date, there have been no studies that have examined the readability of meningococcal vaccine patient-facing information, including information contained within the vaccine PIL. Given the role of pharmacists in presenting PILs to patients, it was, therefore, the aim of this study to quantitatively analyse the readability of Patient Leaflets, which accompany licensed meningococcal vaccines in the UK and US and to compare PILs to vaccine pharmaceutical manufacturers' summary of product characteristics (SPC), as well as other patient-facing vaccine-related information., Methods: Five sources of meningococcal vaccine information were examined for the licensed meningococcal vaccines in the UK (Bexsero, Menveo, Menitorix, Trumenba, Nimenrix & NeisVac-C) and in the United States (Bexsero, Menveo, Trumenba, Menactra, Menomune-A/C/Y/W-135, Menquadfi), including as follows: (i) SPC (Electronic Medicines Compendium, UK), (ii) Package Insert (FDA; USA), (iii) Patient Leaflet (Electronic Medicines Compendium, UK), (iv) Vaccine pharmaceutical websites and (v) government web resources. Readability was examined employing 10 readability metrics, including the Flesch Reading Ease and the Flesch-Kincaid Grade level., Results and Discussion: The information source with the greatest readability scores was the UK Patient Leaflet, which had a mean Flesch Reading Ease score of 58.1 and a mean Flesch-Kincaid Grade score of 7.3, followed by the US Department of Health & Human Services patient-facing website for vaccines (55.9 & 8, respectively), followed by the US Centers for Disease Control and Prevention Vaccine Information Statement (47.3 & 9.4, respectively). Pharmaceutical patient-facing websites for meningococcal vaccines had mean scores of 44.6 and 9.9, respectively. When compared with UK Patient Leaflets, pharmaceutical websites were statistically different with poorer readability with both Flesch Reading Ease and Flesch-Kincaid Grade Level indices (p = 0.02 & p = 0.04, respectively)., What Is New and Conclusion: Pharmaceutical meningococcal vaccine PILs were easily read and had statistically significant good readability scores in comparison with vaccine SPCs and US Package Inserts, pharmaceutical product websites and other government patient-facing meningococcal vaccine information. Preparation of patient-facing materials of a complex topic, such as describing meningococcal vaccines, is difficult to accomplish. Although there is a plurality of sources of information through websites and social media, PILs are one of the few sources that are provided directly to patients. This underpins the potential importance of PILs and the importance of their readability. Adoption of readability calculators and scrutiny of materials for their readability will help authors develop materials with improved understanding for vaccine recipients, potentially leading to improved health literacy and vaccine uptake. Renewed efforts should be sought to promote the information within the PIL, thereby maximizing the value of this resource with vaccine recipients, their carers and family., (© 2021 John Wiley & Sons Ltd.)

Background: Severe maternal morbidity (SMM) affects 50,000 deliveries in the United States annually, with around 1.5 times the rates among Medicaid-covered relative to privately covered deliveries. Furthermore, large racial inequities exist in SMM for non-Hispanic Black women and Hispanic women with rates being 2.1 and 1.4 times higher than White women, respectively. This study aimed to compare the differences in SMM among women of different races/ethnicities and delivery insurance types. Quantifying the rates of SMM based on the intersection of race/ethnicity and insurance status can help to elucidate how multiple forms of oppression and racism may contribute to the substantial inequities in SMM among Black women., Methods: Using hospital discharge data from the Healthcare Cost and Utilization Project National Inpatient Sample (years 2016 and 2017), we conducted multivariate logistic models to evaluate equity in maternal outcomes among women with different primary payers, overall and stratified by race/ethnicity., Results: We found a rate of SMM equal to 138.3 per 10,000 deliveries. Differences in the rate of SMM among non-Hispanic Black, non-Hispanic Asian, and Hispanic women relative to White women were lower among Medicaid-covered deliveries relative to deliveries of all payer types. For example, among all payers, Black women had 2.17 (221.3 vs. 102.1 per 10,000) times the rate of SMM compared with White women; however, among Medicaid-covered deliveries, Black women had 1.84 (227.3 vs. 123.2) times the rate. Despite increased risk associated with Medicaid coverage (adjusted odds ratio, 1.12; 95% confidence interval, 1.07-1.16), the risk was no longer significant in the stratified regression including Black women (adjusted odds ratio, 1.06; 95% confidence interval, 0.98-1.15)., Conclusions: Our findings suggest that Black women with Medicaid do not have higher rates of SMM relative to Black women with private insurance. National and state policy efforts should continue to focus on addressing structural racism and other socioeconomic drivers of adverse maternal outcomes, including barriers to high-quality care among women with Medicaid coverage., (Copyright © 2020 Jacobs Institute of Women's Health. Published by Elsevier Inc. All rights reserved.)

Objective: To evaluate the associations between the number of chronic conditions and maternal race and ethnicity (race) with the risk of severe maternal morbidity., Methods: Using the National Inpatient Sample, Healthcare Cost and Utilization Project, Agency for Healthcare Research and Quality, years 2016-2017, we examined risk of severe maternal morbidity among 1,480,925 delivery hospitalizations among women of different races and with different numbers of comorbid conditions using multivariable logistic regression., Results: The rate of severe maternal morbidity was 139.7 per 10,000 deliveries. Compared with women with no comorbidities (rate 48.5/10,000), there was increased risk of severe maternal morbidity among women with one comorbidity (rate 238.6; odds ratio [OR] 5.0, 95% CI 4.8-5.2), two comorbidities (rate 379.9; OR 8.1, 95% CI 7.8-8.5), or three or more comorbidities (rate 560; OR 12.1, 95% CI 11.5-12.7). In multivariable regressions, similar associations were noted for women with one (adjusted odds ratio [aOR] 4.4, 95% CI 4.2-4.6), two (aOR 6.6, 95% CI 6.3-6.9), or three or more comorbidities (aOR 9.1, 95% CI 8.7-9.6). Black women had higher rates of comorbid conditions than all other racial and ethnic groups, with 55% (95% CI 54-56%) of Black women having no comorbidities, compared with 67% (95% CI 67-68%) of White women, 68% (95% CI 67-69%) of Hispanic women, and 72% (95% CI 71-73%) of Asian women., Conclusion: We found a dose-response relationship between number of comorbidities and risk of severe maternal morbidity, with the highest rates of severe maternal morbidity among women with three or more comorbidities. Focusing on the prevention and treatment of chronic conditions among women of childbearing age may have the potential to improve maternal outcomes across races and ethnicities.

Background: Rates of low birthweight and prematurity vary 2-fold across states in the United States, with increased rates among states with higher concentrations of racial minorities. Medicaid expansion may serve as a mechanism to reduce geographic variation within states that expanded, by improving health and access to care for vulnerable populations., Objective: The objective of this study was to identify the association of Medicaid expansion with changes in county-level geographic variation in rates of low birthweight and preterm births, overall and stratified by race/ethnicity., Research Design: We compared changes in the coefficient of variation and the ratio of the 80th-to-20th percentiles using bootstrap samples (n=1000) of counties drawn separately for all births and for white, black, and Hispanic births, separately., Measures: County-level rates of low birthweight and preterm birth., Results: Before Medicaid expansion, counties in expansion states were concentrated among quintiles with lower rates of adverse birth outcomes and counties in nonexpansion states were concentrated among quintiles with higher rates. In expansion states, county-level variation, measured by the coefficient of variation, declined for both outcomes among all racial/ethnic categories. In nonexpansion states, geographic variation reduced for both outcomes among Hispanic births and for low birthweight among white births, but increased for both outcomes among black births., Conclusions: The decrease in county-level variation in adverse birth outcomes among expansion states suggests improved equity in these states. Further reduction in geographic variation will depend largely on policies or interventions that reduce racial disparities in states that did and did not expand Medicaid.

This study evaluated persistency in county-level rates of low birthweight outcomes to identify "hotspot counties" and their associated area-level characteristics. Administrative data from the National Center for Health Statistics Birth Data Files, years 2011 to 2016 were used to calculate annual county-level rates of low birthweight. Counties ranking in the worst quintile (Q5) for ≥3 years with a neighboring county in the worst quintile were identified as hotspot counties. Multivariate logistic regression was used to associate county-level characteristics with hotspot designation. Adverse birth outcomes were persistent in poor performing counties, with 52% of counties in Q5 for low birthweight in 2011 remaining in Q5 in 2016. The rate of low birthweight among low birthweight hotspot counties (n = 495) was 1.6 times the rate of low birthweight among non-hotspot counties (9.3% vs 5.8%). The rate of very low birthweight among very low birthweight hotspot counties (n = 387) was twice as high compared to non-hotspot counties (1.8% vs 0.9%). A one standard deviation (6.5%) increase in the percentage of adults with at least a high school degree decreased the probability of low birthweight hotspot designation by 1.7 percentage points ( P  = .006). A one standard deviation (20%) increase in the percentage of the population that was of minority race/ethnicity increased hotspot designation for low birthweight by 5.7 percentage points ( P  < .001). Given the association between low birthweight and chronic conditions, hotspot counties should be a focus for policy makers in order to improve health equity across the life course.

Background: Inadequate sustainability of implementation of evidence-based interventions has led to calls for research on how sustainability can be optimized. To advance our understanding of intervention sustainability, we explored how implementation researchers conceptualized and planned for the sustainability of their implemented interventions with studies funded by the United States (US) National Institutes of Health (NIH)., Methods: We used sequential, mixed methods to explore how researchers conceptualized and planned for the sustainability of the health interventions using (1) a document review of all active and completed US NIH R01 Grants and Equivalents reviewed within the Dissemination and Implementation Research in Health (DIRH) Study Section between 2004 and 2016 and (2) a qualitative content analysis of semi-structured interviews with NIH R01 DIRH grant recipients., Results: We found 277 R01 profiles within the DIRH study section listed on the US NIH RePORTER website including 84 that were eligible for screening. Of the 84 unique projects, 76 (90.5%) had primary implementation outcomes. Of the 76 implementation project profiles, 51 (67.1%) made references to sustainability and none referred to sustainability planning. In both profiles and interviews, researchers conceptualized sustainability primarily as the continued delivery of interventions, programs, or implementation strategies. Few researchers referenced frameworks with sustainability constructs and offered limited information on how they operationalized frameworks. Researchers described broad categories of approaches and strategies to promote sustainability and key factors that may influence researchers to plan for sustainability, such as personal beliefs, self-efficacy, perception of their role, and the challenges of the grant funding system., Conclusions: We explored how US NIH R01 DIRH grant recipients conceptualized and planned for the sustainability of their interventions. Our results identified the need to test, consolidate, and provide guidance on how to operationalize sustainability frameworks, and to develop strategies on how funders and researchers can advance sustainability research.

Importance: Low birth weight and preterm birth are associated with adverse consequences including increased risk of infant mortality and chronic health conditions. Black infants are more likely than white infants to be born prematurely, which has been associated with disparities in infant mortality and other chronic conditions., Objective: To evaluate whether Medicaid expansion was associated with changes in rates of low birth weight and preterm birth outcomes, both overall and by race/ethnicity., Design, Setting, and Participants: Using US population-based data from the National Center for Health Statistics Birth Data Files (2011-2016), difference-in-differences (DID) and difference-in-difference-in-differences (DDD) models were estimated using multivariable linear probability regressions to compare birth outcomes among infants in Medicaid expansion states relative to non-Medicaid expansion states and changes in relative disparities among racial/ethnic minorities for singleton live births to women aged 19 years and older., Exposures: State Medicaid expansion status and racial/ethnic category., Main Outcomes and Measures: Preterm birth (<37 weeks' gestation), very preterm birth (<32 weeks' gestation), low birth weight (<2500 g), and very low birth weight (<1500 g)., Results: The final sample of 15 631 174 births (white infants: 8 244 924, black infants: 2 201 658, and Hispanic infants: 3 944 665) came from the District of Columbia and 18 states that expanded Medicaid (n = 8 530 751) and 17 states that did not (n = 7 100 423). In the DID analyses, there were no significant changes in preterm birth in expansion relative to nonexpansion states (preexpansion to postexpansion period, 6.80% to 6.67% [difference: -0.12] vs 7.86% to 7.78% [difference: -0.08]; adjusted DID: 0.00 percentage points [95% CI, -0.14 to 0.15], P = .98), very preterm birth (0.87% to 0.83% [difference: -0.04] vs 1.02% to 1.03% [difference: 0.01]; adjusted DID: -0.02 percentage points [95% CI, -0.05 to 0.02], P = .37), low birth weight (5.41% to 5.36% [difference: -0.05] vs 6.06% to 6.18% [difference: 0.11]; adjusted DID: -0.08 percentage points [95% CI, -0.20 to 0.04], P = .20), or very low birth weight (0.76% to 0.72% [difference: -0.03] vs 0.88% to 0.90% [difference: 0.02]; adjusted DID: -0.03 percentage points [95% CI, -0.06 to 0.01], P = .14). Disparities for black infants relative to white infants in Medicaid expansion states compared with nonexpansion states declined for all 4 outcomes, indicated by a negative DDD coefficient for preterm birth (-0.43 percentage points [95% CI, -0.84 to -0.02], P = .05), very preterm birth (-0.14 percentage points [95% CI, -0.26 to -0.02], P = .03), low birth weight (-0.53 percentage points [95% CI, -0.96 to -0.10], P = .02), and very low birth weight (-0.13 percentage points [95% CI, -0.25 to -0.01], P = .04). There were no changes in relative disparities for Hispanic infants., Conclusions and Relevance: Based on data from 2011-2016, state Medicaid expansion was not significantly associated with differences in rates of low birth weight or preterm birth outcomes overall, although there were significant improvements in relative disparities for black infants compared with white infants in states that expanded Medicaid vs those that did not.

Infestations of the common bed bug (Cimex lectularius L.) have increased substantially in the United States in the past 10-15 years. The housing authority in Harrisonburg, Virginia, conducts heat-treatments after bed bugs are detected in a lower-income housing complex, by treating each infested unit at 60°C for 4-6 hours. However, a high frequency of recurrent infestations called into question the efficacy of this strategy. Genetic analysis using Bayesian clustering of polymorphic microsatellite loci from 123 bed bugs collected from 23 units from May 2012 to April 2013 in one building indicated that (a) 16/21 (73%) infestations were genetically similar, suggesting ineffective heat-treatments or reintroductions from within the building or from a common external source, followed by local spread of existing populations; and (b) up to 5 of the infestations represented new genotypes, indicating that 5 new populations were introduced into this building in one year, assuming they were not missed in earlier screens. There was little to no gene flow among the 8 genetic clusters identified in the building. Bed bugs in the U.S. often possess one or both point mutations in the voltage-gated sodium channel, termed knockdown resistance (kdr), from valine to leucine (V419L) and leucine to isoleucine (L925I) that confer target-site resistance against pyrethroid insecticides. We found that 48/121 (40%) bed bugs were homozygous for both kdr mutations (L419/I925), and a further 59% possessed at least one of the kdr mutations. We conclude that ineffective heat treatments, new introductions, reintroductions and local spread, and an exceptionally high frequency of pyrethroid resistance are responsible for chronic infestations in lower-income housing. Because heat treatments fail to protect from reintroductions, and pesticide use has not decreased the frequency of infestations, preventing new introductions and early detection are the most effective strategies to avoid bed bug infestations in multistory apartment buildings.

In the helix 25 region, 32 French Taylorella asinigenitalis isolates carried at least one 23S rRNA gene not containing intervening sequences (IVSs). No IVSs in the region were identified in three isolates and the other remaining 29 isolates carried one or more IVSs (UCD-1(T)IVS1A, UCD-1(T)IVS1B and UK-1IVS1B) described already and two new kinds of IVS (TaIVS1C and TaIVS1D). In the helix 45 region, no T. asinigenitalis isolates not carrying any IVSs were identified. UK-1IVS2B was identified in the region from 26 isolates. Five new kinds of IVSs (TaIVS2D, E, F, G and H) occurred in the region in the 13 isolates. Distinctly different tandem repeat units (RS48 and RS32 and RS-A, -B and -C) were evident in both regions, respectively, from the French (n=32) and American (n=3) T. asinigenitalis isolates. Thus, several different kinds of tandem repeat units and their combinations in IVSs in both regions within the gene were shown in 32 French isolates., (Copyright © 2010 Elsevier Ltd. All rights reserved.)

The profiles, after digestion with ApaI or NotI and pulsed-field gel electrophoresis (PFGE), of genomic DNA from 18 strains of Taylorella equigenitalis isolated in Ireland were of three different types. The 13 strains in one of these types gave PFGE profiles identical to that of an American prototype strain, Kentucky 188, but different from strain NCTC11184T and from a strain isolated in Japan. Eight additional strains isolated in the United States gave four distinct types of genomic PFGE profiles. All four types were different from that of T. equigenitalis NCTC11184T or that of the Japanese strain. The profile of three strains of one type was identical to that of Kentucky 188.