Neighborhood Racialized Economic Polarization, Home Visiting Coverage, and Adverse Birth Outcomes in a Medicaid-eligible Population.

BACKGROUND: Residential polarization shaped by racial segregation and concentrations of wealth (hereafter neighborhood racialized economic polarization) results in both highly deprived and highly privileged neighborhoods. Numerous studies have found a negative relationship between neighborhood racialized economic polarization and birth outcomes. We investigated whether community-informed home visiting programs achieve high rates of service coverage in highly deprived neighborhoods and can attenuate the deleterious effect of neighborhood polarization on birth outcomes. METHODS: We used 2016-2019 data from Michigan's statewide database that links birth records, Medicaid claims, and program participation (N = 211,412). We evaluated whether 1) home visiting programs achieved high rates of service coverage in highly deprived neighborhoods, 2) participation in home visiting may help to mitigate the negative relationship between neighborhood polarization and birth outcomes, and 3) the reductions in preterm birth and low birthweight were larger among Black birthing individuals. Data were examined using multilevel generalized linear models and mediation analysis. RESULTS: The statewide home visiting program achieved higher rates of coverage in the most deprived neighborhoods (21.0% statewide, 28.3% in the most deprived vs. 10.4% in the most privileged neighborhoods). For all, home visiting participation was associated with a decrease in the relationship between neighborhood polarization and preterm birth by 6.8% (mean indirect effect, -0.008; 95% confidence interval, -0.011 to -0.005), and by 5.2% (mean indirect effect, -0.013; 95% confidence interval, -0.017 to -0.009) for low birthweight, adjusting for individual-level risk factors. The decrease was larger among Black individuals. CONCLUSIONS: A statewide Medicaid-sponsored home visiting program achieved high rates of service coverage in highly deprived neighborhoods. Program participation may help to mitigate the negative relationship between neighborhood polarization and birth outcomes, and more so among Black individuals. Continued support for home visiting services is required to better engage birthing individuals in neighborhoods with concentrated deprivation and to decrease disparities.

Severe Maternal Morbidity Disparities Before and During the COVID Pandemic in a Medicaid Population.

This study assessed racial and ethnic disparities in severe maternal mortality during delivery through 6 weeks postpartum, before and during the COVID pandemic, in a statewide Medicaid population. This retrospective, population-based, cohort study used Medicaid claims data linked to birth certificates from the Michigan Department of Health and Human Services Health Services Data Warehouse that included all individuals giving birth between January 1, 2017, and October 31, 2021, in Michigan who had Medicaid insurance during the month of childbirth. The SMM rate increased more during the COVID pandemic for Black (1.36 [1.26-1.46]) compared to White individuals (1.17 [1.09-1.26], p-value<0.01 Black vs White). The Black-White and Hispanic-White disparities in severe maternal morbidity, already high in the Medicaid population, widened during the COVID pandemic. Multilevel interventions are needed to reduce disparities in maternal morbidity and mortality. Conflict of interest disclosure: No conflicts to disclose.

Community Health Workers: Improving Home Visiting Engagement of High-Risk Birthing People in Segregated Neighborhoods.

CONTEXT: Racial and ethnic disparities in perinatal health remain a public health crisis. Despite improved outcomes from home visiting (HV) participation during pregnancy, most eligible individuals of color do not engage. Neighborhood segregation, a manifestation of structural racism, may impose constraints on engaging eligible individuals in HV. OBJECTIVE: To examine whether race, ethnicity, and/or language-concordant community health workers (CHWs) increased HV engagement for birthing people in segregated neighborhoods. DESIGN: Program evaluation using administrative linked data from birth records, Medicaid claims, and HV program participation. Strong Beginnings (SB), a program with HV provided by CHWs working with nurses and social workers, was compared with the Maternal Infant Health Program (MIHP), a state Medicaid-sponsored HV program without CHW involvement. Data were analyzed using χ 2 tests and Poisson regressions. PARTICIPANTS: A total of 4560 individuals with a Medicaid-eligible birth between 2016 and 2019, including 1172 from SB and 3388 from the MIHP. MAIN OUTCOME MEASURES: Penetration (percentage of participants in HV among all Medicaid-eligible individuals across quintiles of neighborhood segregation) and dosage (the total number of home visits from both CHWs and nurses/social workers, and then restricted to those from nurses/social workers). RESULTS: SB penetrated more segregated neighborhoods than the MIHP (58.4% vs 48.3%; P < .001). SB participants received a higher dosage of home visits (mean [SD]: 11.9 [6.1]) than MIHP participants (mean [SD]: 4.4 [2.8], P < .001). Importantly, CHWs did not replace but moderately increased home visits from nurses and social workers (51.1% vs 35.2% with ≥5 intervention visits, P < .001), especially in more segregated neighborhoods. POLICY IMPLICATION: Community-informed HV models intentionally designed for people facing disparities may help facilitate program outreach to segregated neighborhoods with concentrated deprivation and reduce racial and ethnic disparities. CONCLUSIONS: An HV program provided by CHWs working with nurses and social workers was associated with an increase in penetration and dosage in segregated neighborhoods, compared with HV without CHW involvement. This underscores the value of CHWs partnering with licensed professional workers in improving HV engagement in disadvantaged communities.

Neighborhood Deprivation and Severe Maternal Morbidity in a Medicaid Population.

INTRODUCTION: Few studies have examined whether neighborhood deprivation is associated with severe maternal morbidity (SMM) in already socioeconomically disadvantaged populations. Little is known about to what extent neighborhood deprivation accounts for Black-White disparities in SMM. This study investigated these questions among a statewide Medicaid-insured population, a low-income population with heightened risk of SMM. METHODS: Data were from Michigan statewide linked birth records and Medicaid claims between 01/01/2016 and 12/31/2019, and were analyzed between 2022 and 2023. Neighborhood deprivation was measured with the Area Deprivation Index at census block group and categorized as low, medium, or high deprivation. Multilevel logistic models were used to examine the association between neighborhood deprivation and SMM. Fairlie nonlinear decomposition was conducted to quantify the contribution of neighborhood deprivation to SMM racial disparity. RESULTS: People in the most deprived neighborhoods had higher odds of SMM than those in the least deprived neighborhoods (aOR [95% CI]: 1.27 [1.15, 1.40]). Such association was observed in Black (aOR [95% CI]: 1.34 [1.07, 1.67]) and White (aOR [95% CI]: 1.26 [1.12, 1.42]) racial subgroups. Decomposition showed that of 57.5 (cases per 10,000) explained disparity in SMM, neighborhood deprivation accounted for 23.1 (cases per 10,000; 95% CI: 16.3, 30.0) or two-fifths (40.2%) of the Black-White disparity. Analysis on SMM excluding blood transfusion showed consistent but weaker results. CONCLUSIONS: Neighborhood deprivation may be used as an effective tool to identify at-risk individuals within a low-income population. Community-engaged interventions aiming at improving neighborhood conditions may be helpful to reduce both SMM prevalence and racial inequity in SMM.

Community Health Worker Home Visiting, Birth Outcomes, Maternal Care, and Disparities Among Birthing Individuals With Medicaid Insurance.

Importance: Home visiting is recommended to address maternal and infant health disparities but is underused with mixed impacts on birth outcomes. Community health workers, working with nurses and social workers in a combined model, may be a strategy to reach high-risk individuals, improve care and outcomes, and address inequities. Objective: To assess the association of participation in a home visiting program provided by community health workers working with nurses and social workers (Strong Beginnings) with adverse birth outcomes and maternal care vs usual care among birthing individuals with Medicaid. Design, Setting, and Participants: This retrospective, population-based, propensity score matching cohort study used an administrative linked database, including birth records and Medicaid claims, linked to program participation. The Strong Beginnings program exposure took place in 1 county that includes the second largest metropolitan area in Michigan. Study participants included primarily non-Hispanic Black and Hispanic Strong Beginnings participants and all mother-infant dyads with a Medicaid-insured birth in the other Michigan counties (2016 through 2019) as potential matching nonparticipants. The data were analyzed between 2021 and 2023. Exposure: Participation in Strong Beginnings or usual care. Main Outcomes and Measures: Preterm birth (less than 37 weeks' gestation at birth), very preterm birth (less than 32 weeks' gestation), low birth weight (less than 2500 g at birth), very low birth weight (less than 1500 g), adequate prenatal care, and postnatal care (3 weeks and 60 days). Results: A total of 125 252 linked Medicaid-eligible mother-infant dyads (mean age [SD], 26.6 [5.6] years; 27.1% non-Hispanic Black) were included in the analytical sample (1086 in Strong Beginnings [mean age (SD), 25.5 (5.8) years]; 124 166 in usual prenatal care [mean age (SD), 26.6 (5.5) years]). Of the participants, 144 of 1086 (13.3%) in the SB group and 14 984 of 124 166 (12.1%) in the usual care group had a preterm birth. Compared with usual prenatal care, participation in the Strong Beginnings program was significantly associated with reduced risk of preterm birth (-2.2%; 95% CI, -4.1 to -0.3), very preterm birth (-1.2%; 95% CI, -2.0 to -0.4), very low birth weight (-0.8%; 95% CI, -1.3 to -0.3), and more prevalent adequate prenatal care (3.1%; 95% CI, 0.6-5.6), postpartum care in the first 3 weeks after birth (21%; 95% CI, 8.5-33.5]), and the first 60 days after birth (23.8%; 95% CI, 9.7-37.9]). Conclusions and Relevance: Participation in a home visiting program provided by community health workers working with nurses and social workers, compared with usual care, was associated with reduced risk for adverse birth outcomes, improved prenatal and postnatal care, and reductions in disparities, among birthing individuals with Medicaid. The risk reductions in adverse birth outcomes were greater among Black individuals.

Breaking Barriers to Rapid Whole Genome Sequencing in Pediatrics: Michigan's Project Baby Deer.

The integration of precision medicine in the care of hospitalized children is ever evolving. However, access to new genomic diagnostics such as rapid whole genome sequencing (rWGS) is hindered by barriers in implementation. Michigan's Project Baby Deer (PBD) is a multi-center collaborative effort that sought to break down barriers to access by offering rWGS to critically ill neonatal and pediatric inpatients in Michigan. The clinical champion team used a standardized approach with inclusion and exclusion criteria, shared learning, and quality improvement evaluation of the project's impact on the clinical outcomes and economics of inpatient rWGS. Hospitals, including those without on-site geneticists or genetic counselors, noted positive clinical impacts, accelerating time to definitive treatment for project patients. Between 95-214 hospital days were avoided, net savings of $4155 per patient, and family experience of care was improved. The project spurred policy advancement when Michigan became the first state in the United States to have a Medicaid policy with carve-out payment to hospitals for rWGS testing. This state project demonstrates how front-line clinician champions can directly improve access to new technology for pediatric patients and serves as a roadmap for expanding clinical implementation of evidence-based precision medicine technologies.

Study protocol: The Maternal Health Multilevel Intervention for Racial Equity (Maternal Health MIRACLE) Project.

PURPOSE: To test the effectiveness and cost-effectiveness of a multilevel intervention for population-level African American (AA) severe maternal morbidity and mortality. BACKGROUND: Severe maternal morbidity and mortality in the U.S. disproportionately affect AA women. Inequities occur at many levels, including community, provider, and health system levels. DESIGN: Intervention. Throughout the two intervention counties, we will expand access to enhanced prenatal care services using telehealth and flexible scheduling (community level), provide actionable maternal health-focused anti-racism training (provider level), and implement equity-focused community care maternal safety bundles (health system level). Partnership. Interventions were developed/co-developed by intervention county partners, including AA women, enhanced prenatal care staff, and health providers. For equity, 46% of project direct cost dollars go to our partners. Most study investigators are female (75%) and/or AA (38%). Partners are overwhelmingly AA women. Sample, measures, analyses. We use a quasi-experimental difference-in-differences with propensity scores approach to compare pre (2016-2019) to post (2022-2025) changes in outcomes for Medicaid-insured women in intervention counties to similar women in the other Michigan, USA, counties. The sample includes all Medicaid-insured deliveries in Michigan during these years (n ~ 540,000), with women observed during pregnancy, at birth, and up to 1 year postpartum. Measures are taken from a linked dataset that includes Medicaid claims and vital records. CONCLUSION: This study is among the first to examine effects of any multilevel intervention on AA severe maternal morbidity and mortality. It features a rigorous quasi-experimental design, multilevel multi-partner county-wide interventions developed by community partners, and assessment of intervention effects using population-level data.

Determining County-Level Counterfactuals for Evaluation of Population Health Interventions: A Novel Application of K-Means Cluster Analysis.

OBJECTIVES: Evaluating population health initiatives at the community level necessitates valid counterfactual communities, which includes having similar population composition, health care access, and health determinants. Estimating appropriate county counterfactuals is challenging in states with large intercounty variation. We describe an application of K-means cluster analysis for determining county-level counterfactuals in an evaluation of an intervention, a county perinatal system of care for Medicaid-insured pregnant women. METHODS: We described counties by using indicators from the American Community Survey, Area Health Resources Files, University of Wisconsin Population Health Institute County Health Rankings, and vital records for Michigan Medicaid-insured births for 2009, the year the intervention began (or the closest available year). We ran analyses of 1000 iterations with random starting cluster values for each of a range of number of clusters from 3 to 10 with commonly used variability and reliability measures to identify the optimal number of clusters. RESULTS: The use of unstandardized features resulted in the grouping of 1 county with the intervention county in all solutions for all iterations and the frequent grouping of 2 additional counties with the intervention county. Standardized features led to no solution, and other distance measures gave mixed results. However, no county was ideal for all subpopulation analyses. PRACTICE IMPLICATIONS: Although the K-means method was successful at identifying comparison counties, differences between the intervention county and comparison counties remained. This limitation may be specific to the intervention county and the constraints of a within-state study. This method could be more useful when applied to other counties in and outside Michigan.

The Impact of a Population-Based System of Care Intervention on Enhanced Prenatal Care and Service Utilization Among Medicaid-Insured Pregnant Women.

INTRODUCTION: Enhanced prenatal/postnatal care home visiting programs for Medicaid-insured women have significant positive impacts on care and health outcomes. However, enhanced prenatal care participation rates are typically low, enrolling <30% of eligible women. This study investigates the impacts of a population-based systems approach on timely enhanced prenatal care participation and other healthcare utilization. METHODS: This quasi-experimental, population-based, difference-in-differences study used linked birth certificates, Medicaid claims, and enhanced prenatal care data from complete statewide Medicaid birth cohorts (2009 to 2015), and was analyzed in 2019-2020. The population-based system intervention included cross-agency leadership and work groups, delivery system redesign with clinical-community linkages, increased enhanced prenatal care-Community Health Worker care, and patient empowerment. Outcomes included enhanced prenatal care participation and early participation, prenatal care adequacy, emergency department contact, and postpartum care. RESULTS: Enhanced prenatal care (7.4 percentage points, 95% CI=6.3, 8.5) and first trimester enhanced prenatal care (12.4 percentage points, 95% CI=10.2, 14.5) increased among women served by practices with established clincial-community linkages, relative to that among the comparator group. First trimester enhanced prenatal care improved in the county (17.9, 95% CI=15.7, 20.0), emergency department contact decreased in the practices (-11.1, 95% CI= -12.3, -9.9), and postpartum care improved in the county (7.1, 95% CI=6.0, 8.2). Enhanced prenatal care participation for Black women served by the practices improved (4.4, 95% CI=2.2, 6.6) as well as early enhanced prenatal care (12.3, 95% CI=9.0, 15.6) and use of postpartum care (10.4, 95% CI=8.3, 12.4). CONCLUSIONS: A population systems approach improved selected enhanced prenatal care participation and service utilization for Medicaid-insured women in a county population, those in practices with established clinical-community linkages, and Black women.

An NIH investment in health equity - the economic impact of the Flint Center for Health Equity Solutions.

BACKGROUND: Health disparities are pervasive and are linked to economic losses in the United States of up to $135 billion per year. The Flint Center for Health Equity Solutions (FCHES) is a Transdisciplinary Collaborative Center for health disparities research funded by the National Institute of Minority Health and Health Disparities (NIMHD). The purpose of this study was to estimate the economic impact of the 5-year investment in FCHES in Genesee County, Michigan. METHODS: The estimated impacts of FCHES were calculated using a U.S.-specific input/output (I/O) model, IMPLAN, from IMPLAN Group, LLC., which provides a software system to access geographic specific data regarding economic sector interactions from a variety of sources. This allowed us to model the cross-sector economic activity that occurred throughout Genesee County, Michigan, as a result of the FCHES investment. The overall economic impacts were estimated as the sum of three impact types: 1. Direct (the specific expenditures impact of FCHES and the Scientific Research and Development Services sector); 2. Indirect (the impact on suppliers to FCHES and the Scientific Research and Development Services sector); and 3. Induced (the additional economic impact of the spending of these suppliers and employees in the county economy). RESULTS: The total FCHES investment amounted to approximately $11 million between 2016 and 2020. Overall, combined direct, indirect, and induced impacts of the total FCHES federal investment in Genesee County included over 161 job-years, over $7.6 million in personal income, and more than $19.2 million in economic output. In addition, this combined economic activity generated close to $2.3 million in state/local and federal tax revenue. The impact multipliers show the ripple effect of the FCHES investment. For example, the overall output of over $19.2 million led to an impact multiplier of 1.75 - every $1 of federal FCHES investment led to an additional $.75 of economic output in Genesee County. CONCLUSIONS: The FCHES research funding yields significant direct economic impacts above and beyond the direct NIH investment of $11 million. The economic impact estimation method may be relevant and generalizable to other large research centers such as FCHES.

Clinical-Community Linkages: The Impact of Standard Care Processes that Engage Medicaid-Eligible Pregnant Women in Home Visiting.

BACKGROUND: To better address physical, emotional, and social needs of Medicaid-insured pregnant women, a Federally Qualified Health Center and a hospital-based obstetrics and gynecology residency practice collaborated with their agency-based state Medicaid-sponsored home visiting program, the Maternal Infant Health Program (MIHP). In partnership, both practice sites created patient standards of care to identify and engage eligible pregnant women into underutilized home visiting services for enhanced prenatal care coordination. The purpose of this study was to describe how each practice operationalized clinical-community linkage strategies that best suited their setting and to determine if efforts resulted in improved MIHP participation and other service use. METHODS: Using linked administrative data, a quasi-experimental pre-post difference-in-difference design was used to examine changes in MIHP participation, adequate prenatal care, emergency department use, and postpartum care among patients in each practice compared with the same birth cohorts between 2010 and 2015 in the rest of the state. RESULTS: When compared with similar women from the rest of the state, the Federally Qualified Health Center observed a 9.1 absolute percentage points (APP; 95% confidence interval [CI], 8.1-10.1) increase in MIHP participation and 12.5 APP (95% CI, 10.4-14.6) increase in early first trimester enrollment. The obstetrics and gynecology residency practice experienced increases of 4.4 APP (95% CI, 3.3-5.6) in overall MIHP participation and 12.5 APP (95% CI, 10.3-14.7) in first trimester enrollment. Significant improvements in adequate prenatal care, emergency department use, and postpartum visit completion were also observed. CONCLUSIONS: Clinical-community linkages can significantly improve participation of Medicaid-insured women in an evidence-based home visiting program and other prenatal services. This work is important because health providers are looking for ways to create clinical-community linkages.

Is a school's neighborhood physical disorder related to its academic outcomes?

BACKGROUND: Neighborhood environment for student residences has been linked to differences in academic outcomes. However, school neighborhood has not been studied as a potential additional environmental factor in academic outcomes. OBJECTIVE: The goal of this study was to explore the association between school neighborhood disorder and academic outcomes. METHODS: School neighborhood physical disorder data were paired with school academic achievement and attendance data. Using regression analyses, we examined whether academic achievement and attendance were predicted using NIfETy neighborhood physical disorder scores for the 21 schools within the boundaries of Flint. RESULTS: Neighborhood physical disorder was significantly negatively associated with mathematics scores (ß=-7.71707, p=0.0430425), but not with English Language Arts (ELA) scores (ß=-4.35, p=0.13). We found a significant curvilinear relationship between neighborhood physical disorder and attendance. CONCLUSIONS: This study supplements existing literature by focusing on neighborhood physical disorder at the school. We found evidence that school neighborhood may impact academic achievement. These findings complement previous research showing that neighborhood of residence factors, such as structural disadvantage, impact school performance. Students exposed to economically disadvantaged neighborhoods at school, regardless of where they live, may have poorer academic skills.

Perceived safety of smoking a few cigarettes during pregnancy and provider advice in a sample of pregnant smokers from Romania.

AIMS: To assess the prevalence of the perceived safety of smoking a few (generally fewer than five per day) cigarettes during pregnancy and identify associated factors in a sample of pregnant smokers in Romania, a middle-income country. DESIGN AND SETTING: Cross-sectional design with a convenience sample using a polled data set collected between 2016 and 2019 in the formative and baseline phases of the Quit Together randomized control trial (RCT) in Romania. Data were collected using a structured questionnaire administered by research assistants in clinics in the formative phase and self-administered through the study website at the RCT baseline. PARTICIPANTS: A total of 217 pregnant smokers (mean age = 28.5 ± 5.8) enrolled in the formative and RCT phases of the research project. MEASUREMENTS: The main outcome was the perceived safety of smoking a few cigarettes during pregnancy (generally fewer than five per day). Covariates included the health-care providers' advice towards smoking tobacco cigarettes during pregnancy, socio-demographics, the presence of depression and anxiety symptoms and level of nicotine dependence. FINDINGS: More than 35% of participants agreed that smoking a few cigarettes during pregnancy was safe for them and their baby. The perceived safety of smoking a few cigarettes during pregnancy was significantly associated with being told by health-care providers that it is acceptable to continue to smoke cigarettes in small amounts [odds ratio (OR) = 3.08; 95% CI = 1.35-6.99; P < 0.01], perceived harm reduction of smoking light cigarettes (OR = 2.67; 95% CI = 1.19-5.97; P = 0.02) and moderate to severe depression and anxiety score (OR = 0.34; 95% CI = 0.13-0.84; P = 0.02). CONCLUSIONS: More than one-third of pregnant Romanian women appear to believe that smoking 'a few' cigarettes during pregnancy is safe for them and their fetuses. Those who are told by their health-care providers that it is acceptable to smoke in small amounts during pregnancy have higher odds of perceiving smoking 'a few' cigarettes during pregnancy as safe compared with other pregnant Romanian women.

Tobacco cigarette and cannabis use among new mothers.

BACKGROUND AND AIMS: In the United States, the prevalence of cannabis use during pregnancy has increased whereas tobacco smoking has decreased. This study aimed to estimate the prevalence of tobacco cigarette smoking and cannabis use among new mothers, stratified by breastfeeding status. Additionally, trend analysis was used to examine changes in tobacco and cannabis use over time. DESIGN: Cross-sectional study based on the National Health and Nutrition Examination Survey (NHANES, 2001-18). SETTING: United States. PARTICIPANTS: Population-based sample of new mothers (within 2 years of childbirth) aged 20-44 years (n = 1332). MEASUREMENTS: For each NHANES data cycle, the prevalence of tobacco smoking measured by self-report or serum cotinine was estimated. Additionally, we estimated the prevalence of cannabis use measured by self-report. Using Joinpoint Regression, we tested for significant changes in trends and produced the average 'data-cycle' percentage change (APC). FINDINGS: From 2001 to 2018, more than one in five new mothers were tobacco cigarette smokers. New mothers who were breastfeeding were less likely to smoke cigarettes [7.4%, 95% confidence interval (CI) = 4.9%, 10.9% compared with mothers who were not breastfeeding (25.7%, 95% CI = 22.3%, 29.3%]. Results from Joinpoint regression indicated no robust temporal trends for self-reported tobacco smoking (APC = -1.3, 95% CI = -8.6, 6.7; P = 0.7) or for cotinine levels ≥ 4.47 ng/ml (APC = 0.3, 95% CI = -5.0, 5.9; P = 0.9), whereas cannabis use had increased among new mothers (APC = 23.7, 95% CI = 4.8, 46.0; P = 0.02). CONCLUSIONS: Consistent with the increase seen among other subgroups, cannabis use has approximately doubled among US new mothers since 2005. There is no significant evidence of a change in tobacco smoking among US new mothers since 2001.

Using Behavioral Nudges to Engage Pregnant Women in a Smoking Cessation Trial: An Online Field Quasi-Experiment.

Evidence shows that behavioral nudges could be used to enhance enrollment rates in randomized controlled trials (RCTs) by addressing enrollment barriers, but research on this topic is limited. We conducted an online field quasi-experiment with separate pretest (October 2017-January 2018) and posttest (February-May 2018) samples designed to examine the use of behavioral nudges to engage pregnant smokers in a couple-focused smoking cessation RCT relying on online enrollment through paid Facebook ads and a dedicated website, by reporting aggregate Facebook ads and Google Analytics data. The Facebook ads pretest conversion rate of 1.6% doubled and reached 3.41% in the posttest period. The pretest eligibility assessment rate decreased from 10.3% to 6.46%, but registered a relative increase of approximately 50% in the posttest period, as opposed to the pretest. The number of women who signed the informed consent in the posttest period has increased with 63%, from a proportion of 8.54% in the pretest to 11.73% in the posttest period. These findings might lend support to integrating behavioral nudges in the recruitment and enrollment materials of RCTs to boost enrollment.

An mHealth intervention to prevent postnatal smoking relapse: The RESPREMO study protocol.

Up to 70% of women who quit smoking relapse after birth, usually within 3 months postpartum. The wide adoption of mobile technologies, especially smartphones, in recent years in low- and middle-income countries (LMICs) offers the possibility of low-cost, novel, and innovative mobile phone-based interventions for smoking relapse prevention. This study presents the protocol of the RESPREMO clinical trial for postnatal smoking relapse prevention for enrolled women, who recently gave birth and quit tobacco smoking before or during pregnancy, and their life partners. This work relies on data collected in two of the largest government-owned obstetrics and gynecology clinics in Cluj-Napoca, Romania. Seventy-five couples were randomized into one of three groups: a) 24 couples were allocated to the first intervention group and asked to install and use the xSmoker app; b) 26 couples were randomized to the second intervention group, who, in addition to the use of the xSmoker app, received text messages with content focused on motivation, problem solving, and dyadic efficacy; and c) 25 couples were randomized into a control group. Several measures of engagement with the xSmoker app were assessed, including duration of app use, the frequency of utilizing the tool to calculate savings from quitting, number of app-delivered challenges accepted by users, and number of app-delivered cessation and abstinence tips. If effective, RESPREMO is expected to have a sustainable impact on the prevention of postnatal relapse tobacco smoking with positive effects for both the mother and the newborn. The implications are beyond tobacco control, and relevant to the design and implementation of other mHealth behavioral interventions focused on the pregnancy and reproductive years in general.

A Cross-Section Study of Relationship Characteristics and Smoking Cessation During Pregnancy in a Sample of Romanian Pregnant Women.

INTRODUCTION: Partner support and relationship characteristics may be important factors in effective couple-based pregnancy smoking cessation programs. Research is needed to investigate the links between couple relationship characteristics and maternal smoking cessation to inform the development of such interventions. METHODS: This paper relies on cross-section data collected during the formative phase in the development of an ongoing couple-focused pregnancy tobacco cessation trial. Data (n = 143 pregnant women) were collected from two large public and one private obstetrics and gynecology clinics located in Cluj-Napoca, Romania. Multiple logistic regression was used to identify correlates of smoking cessation during pregnancy. RESULTS: Higher education was a significant correlate of smoking cessation during pregnancy. Women with a college degree or more had higher odds to quit smoking during pregnancy in comparison to their counterparts who graduated high school or less (OR 14.3, 95% CI 2.75-74.28). In addition, women with increased positive partner interactions related to their smoking cessation efforts correlated with higher odds of quitting smoking during pregnancy (OR 1.48, 95% CI 1.15-1.91). DISCUSSION: While pregnancy tobacco cessation interventions with partner support do exist, most were not successful and did not focus on couple-related concepts such as partner interactions, dyadic coping, and dyadic efficacy. The findings of the study are important because they bring new insights regarding the potential role of relationship characteristics to inform future cessation programs focused on pregnant smokers and their life partners.

Home- and Car-Based Rules in Foster Care Settings to Reduce Exposure to Secondhand Smoke: Before and after Romanian National Clean Air Legislation.

Background: To evaluate changes in smoke free rules in the foster care system after the implementation of the Romanian national clean air law. Methods: A repeated cross-sectional, self-administered questionnaire among foster care employees (n = 599) was conducted in 58 foster care homes during 2014 (n = 295) and 51 homes during 2016 (n = 304). We estimated the absolute difference in the proportion of employees who stated that smoke free rules existed before and after national clean air legislation. Results: There was an absolute increase in 4 of 5 smoke free measures after the law: bans on non-cigarette tobacco products (n = 169 to 206, +10.6%), non-smoking on premises for adults (n = 142 to 202, +18.3%), and for children (n = 201 to 239, +10.3%), and no smoking in cars to transport children (n = 194 to 227, +9%). There was a significant increase in the perception of outdoor bans that prohibit employees from smoking on foster care home premises (AOR 2.24, 95% CI 1.14⁻4.38). The increase in the perception of indoor smoking bans did not change. Conclusion: The national law may have had a spillover influence by strengthening smoke free rules in unregulated spaces. Nonetheless, foster care home rules could be further enhanced, particularly in cars that transport children.