Maternal 24-h movement patterns across pregnancy and postpartum: The LIFE-Moms consortium.

Objective: Time spent among the 24-h movement behaviors (physical activity [PA], sleep, sedentary behavior [SB]) in the perinatal period is important for maternal and child health. We described changes to 24-h movement behaviors and behavior guideline attainment during pregnancy and postpartum and identified correlates of behavior changes. Methods: This secondary data analysis included the standard of care group (n = 439) from the U.S.-based Lifestyle Interventions For Expectant Moms (LIFE-Moms) consortium, including persons with overweight and obesity. Wrist-worn accelerometry was used to measure movement behaviors early (9-15 weeks) and late (35-36 weeks) pregnancy, and âˆ¼ 1-year postpartum. Sleep and moderate-to-vigorous PA (MVPA) were compared to adult and pregnancy-specific guidelines, respectively. SB was classified into quartiles. PA and SB context were quantified using questionnaires. Mixed models were used to examine changes in behaviors and guidelines and identify correlates. Results: Participants were 31.3 ± 3.5 years, 53.5 % were Black or Hispanic, and 45.1 % had overweight. Sleep duration decreased across time, but participants consistently met the guideline (range: 85.0-93.6 %). SB increased during pregnancy and decreased postpartum, while light PA and MVPA followed the inverse pattern. Participants met slightly fewer guidelines late pregnancy (1.2 ± 0.7 guidelines) but more postpartum (1.7 ± 0.8 guidelines) than early pregnancy (1.4 ± 0.8 guidelines). Black or Hispanic race/ethnicity, higher pregravid body mass index, and non-day work-shift (e.g., night-shift) were identified correlates of lower guideline adherence and varying PA and SB context. Conclusion: Perinatal interventions should consider strategies to prevent SB increase and sustain MVPA to promote guideline adherence.

Sleep, Stress, and Cardiometabolic Health in Women of Childbearing Age with Overweight and Obesity.

Background: Sleep is important for health, but its relationship to cardiometabolic health in women of childbearing age remains unclear. Furthermore, stress, unmet basic needs, and lack of physical activity may be related to disrupted sleep and poor cardiometabolic health in women of childbearing age and these relationships may differ by ethnicity. The purposes of this study were to investigate the relationship between sleep, markers of cardiometabolic health, stress, unmet basic needs, and physical activity in women of childbearing age with overweight or obesity and identify if these relationships differed between women that identified as Latino/Hispanic and non-Latino/Hispanic ethnicity. Methods: A secondary cross-sectional analysis was conducted using baseline data from a trial that embeds healthy eating and activity into a national home visiting program, Parents as Teachers. The sample was stratified based on self-reported ethnicity (Hispanic/Latino or non-Hispanic/Latino). Pearson's and Spearman's correlations were used to determine bivariate relationships among sleep, cardiometabolic variables, stress, unmet basic needs, and physical activity. Results: Two hundred seventy-six women, 46% of whom identified as Hispanic/Latino, were included in the analysis. Body mass index (BMI) was significantly correlated with sleep disturbance (ρ = 0.23, p = 0.01) in women who identify as Hispanic/Latino. Stress was positively related to sleep disturbance, sleep duration, and unmet needs for both groups of women. BMI was correlated with unmet basic needs in women who identified as non-Hispanic/Latino (ρ = 0.25, p = 0.01). Conclusions: Our results suggest that sleep, stress, and basic needs are important in understanding cardiometabolic health in women of childbearing age and these relationships differ depending on ethnicity. Clinical Trial Registration Number: NCT03758638.

Applying hybrid effectiveness-implementation studies in equity-centered policy implementation science.

Policy implementation science (IS) is complex, dynamic, and fraught with unique study challenges that set it apart from biomedical or clinical research. One important consideration is the ways in which policy interacts with local contexts, such as power and social disadvantage (e.g., based on ability, race, class, sexual identity, geography). The complex nature of policy IS and the need for more intentional integration of equity principles into study approaches calls for creative adaptations to existing implementation science knowledge and guidance. Effectiveness-implementation hybrid studies were developed to enhance translation of clinical research by addressing research questions around the effectiveness of an intervention and its implementation in the same study. The original work on hybrid designs mainly focused on clinical experimental trials; however, over the last decade, researchers have applied it to a wide range of initiatives and contexts, including more widespread application in community-based studies. This perspectives article demonstrates how effectiveness-implementation hybrid studies can be adapted for and applied to equity-centered policy IS research. We draw upon principles of targeted universalism and Equity in Implementation Research frameworks to guide adaptations to hybrid study typologies, and suggest research and engagement activities to enhance equity considerations; for example, in the design and testing of implementing strategies. We also provide examples of equity-centered policy IS studies. As the field of policy IS rapidly evolves, these adapted hybrid type studies are offered to researchers as a starting guide.

Participatory logic modeling in a multi-site initiative to advance implementation science.

BACKGROUND: Logic models map the short-term and long-term outcomes that are expected to occur with a program, and thus are an essential tool for evaluation. Funding agencies, especially in the United States (US), have encouraged the use of logic models among their grantees. They also use logic models to clarify expectations for their own funding initiatives. It is increasingly recognized that logic models should be developed through a participatory approach which allows input from those who carry out the program being evaluated. While there are many positive examples of participatory logic modeling, funders have generally not engaged grantees in developing the logic model associated with their own initiatives. This article describes an instance where a US funder of a multi-site initiative fully engaged the funded organizations in developing the initiative logic model. The focus of the case study is Implementation Science Centers in Cancer Control (ISC3), a multi-year initiative funded by the National Cancer Institute. METHODS: The reflective case study was collectively constructed by representatives of the seven centers funded under ISC3. Members of the Cross-Center Evaluation (CCE) Work Group jointly articulated the process through which the logic model was developed and refined. Individual Work Group members contributed descriptions of how their respective centers reviewed and used the logic model. Cross-cutting themes and lessons emerged through CCE Work Group meetings and the writing process. RESULTS: The initial logic model for ISC3 changed in significant ways as a result of the input of the funded groups. Authentic participation in the development of the logic model led to strong buy-in among the centers, as evidenced by their utilization. The centers shifted both their evaluation design and their programmatic strategy to better accommodate the expectations reflected in the initiative logic model. CONCLUSIONS: The ISC3 case study demonstrates how participatory logic modeling can be mutually beneficial to funders, grantees and evaluators of multi-site initiatives. Funded groups have important insights about what is feasible and what will be required to achieve the initiative's stated objectives. They can also help identify the contextual factors that either inhibit or facilitate success, which can then be incorporated into both the logic model and the evaluation design. In addition, when grantees co-develop the logic model, they have a better understanding and appreciation of the funder's expectations and thus are better positioned to meet those expectations.

Insulin Sensitivity and ß-Cell Function During Early and Late Pregnancy in Women With and Without Gestational Diabetes Mellitus.

OBJECTIVE: To evaluate the metabolic alterations associated with gestational diabetes mellitus (GDM) in women with overweight or obesity. RESEARCH DESIGN AND METHODS: We compared fasting and postprandial plasma glucose and free fatty acid (FFA) concentrations, insulin sensitivity (IS; Matsuda index), and ß-cell function (i.e., ß-cell responsiveness to glucose) by using a frequently sampled oral glucose tolerance test (OGTT) at 15 and 35 weeks' gestation in women with overweight or obesity who had GDM (n = 29) or did not have GDM (No-GDM; n = 164) at 35 weeks. RESULTS: At 15 weeks, IS and ß-cell function were lower, and fasting, 1-h, and total area-under-the-curve plasma glucose concentrations during the OGTT were higher (all P < 0.05) in the GDM than in the No-GDM group. At 35 weeks compared with 15 weeks, IS decreased, ß-cell function increased, and postprandial suppression of plasma FFA was blunted in both the GDM and No-GDM groups, but the decrease in IS and the increase in postprandial FFA concentration were greater and the increase in ß-cell function was less (all P ≤ 0.05) in the GDM than in the No-GDM group. A receiver operating characteristic curve analysis showed that both fasting plasma glucose and 1-h OGTT glucose concentration at 15 weeks are predictors of GDM, but the predictive power was <30%. CONCLUSIONS: Women with overweight or obesity and GDM, compared with those without GDM, have worse IS and ß-cell function early during pregnancy and a greater subsequent decline in IS and blunted increase in ß-cell function. Increased fasting and 1-h OGTT plasma glucose concentration early during pregnancy are markers of increased GDM risk, albeit with weak predictive power.

Participatory Logic Modeling in a Multi-Site Initiative to Advance Implementation Science.

Background: It is increasingly being recognized that logic models should be developed through a participatory approach which allows input from those who carry out the program being evaluated. While there are many positive examples of participatory logic modeling, funders have generally not used this approach in the context of multi-site initiatives. This article describes an instance where the funder and evaluator of a multi-site initiative fully engaged the funded organizations in developing the initiative logic model. The focus of the case study is Implementation Science Centers in Cancer Control (ISC 3 ), a multi-year initiative funded by the National Cancer Institute (NCI). Methods: The case study was collectively constructed by representatives of the seven centers funded under ISC 3 . Members of the Cross-Center Evaluation (CCE) Work Group jointly articulated the process through which the logic model was developed and refined. Individual Work Group members contributed descriptions of how their respective centers reviewed and used the logic model. Cross-cutting themes and lessons emerged through CCE Work Group meetings and the writing process. Results: The initial logic model for ISC 3 changed in significant ways as a result of the input of the funded groups. Authentic participation in the development of the logic model led to strong buy-in among the centers, as evidenced by their utilization. The centers shifted both their evaluation design and their programmatic strategy to better accommodate the expectations reflected in the initiative logic model. Conclusions: The ISC 3 case study provides a positive example of how participatory logic modeling can be mutually beneficial to funders, grantees and evaluators of multi-site initiatives. Funded groups have important insights about what is feasible and what will be required to achieve the initiative's stated objectives. They can also help identify the contextual factors that either inhibit or facilitate success, which can then be incorporated into both the logic model and the evaluation design. In addition, when grantees co-develop the logic model, they have a better understanding and appreciation of the funder's expectations, and thus are better positioned to meet those expectations.

Advancing healthcare equity through dissemination and implementation science.

OBJECTIVE: To provide guiding principles and recommendations for how approaches from the field of dissemination and implementation (D&I) science can advance healthcare equity. DATA SOURCES AND STUDY SETTING: This article, part of a special issue sponsored by the Agency for Healthcare Research and Quality (AHRQ), is based on an outline drafted to support proceedings of the 2022 AHRQ Health Equity Summit and further revised to reflect input from Summit attendees. STUDY DESIGN: This is a narrative review of the current and potential applications of D&I approaches for understanding and advancing healthcare equity, followed by discussion and feedback with Summit attendees. DATA COLLECTION/EXTRACTION METHODS: We identified major themes in narrative and systematic reviews related to D&I science, healthcare equity, and their intersections. Based on our expertise, and supported by synthesis of published studies, we propose recommendations for how D&I science is relevant for advancing healthcare equity. We used iterative discussions internally and at the Summit to refine preliminary findings and recommendations. PRINCIPAL FINDINGS: We identified four guiding principles and three D&I science domains with strong promise for accelerating progress toward healthcare equity. We present eight recommendations and more than 60 opportunities for action by practitioners, healthcare leaders, policy makers, and researchers. CONCLUSIONS: Promising areas for D&I science to impact healthcare equity include the following: attention to equity in the development and delivery of evidence-based interventions; the science of adaptation; de-implementation of low-value care; monitoring equity markers; organizational policies for healthcare equity; improving the economic evaluation of implementation; policy and dissemination research; and capacity building.

Provider and Practice Factors Associated With On-Time HPV Vaccination in Primary Care.

BACKGROUND: In 2018, only one third of girls and boys completed the 2-dose series of the human papillomavirus vaccine by their 13th birthday, the target for on-time vaccination. The study objective was to identify key patient, provider and practice-level factors associated with on-time vaccination in the primary care setting. METHODS: We examined data from 20 primary care pediatric practices (89 providers) in St. Louis including: the percentage of eligible patients with on-time vaccination assessed from medical records; providers' knowledge, attitudes and behaviors regarding on-time vaccination assessed with a survey; and practice-level strategies used to optimize vaccine delivery assessed with a 19-item vaccine delivery system score (VDSS). Factors that increased on-time vaccination were identified using logistic regression, controlling for clustering within providers. RESULTS: Completion of on-time vaccination occurred in 1347/3125 (43.10%) of patients (95% confidence interval [CI], 41.36%-44.86%) and varied among practices (7.39%-64.24%) and among providers (2.63%-82.50%). Independent predictors for higher completion of on-time vaccination included more frequent use by providers of the announcement style for vaccine recommendation (odds ratio [OR] 1.18, 95% CI, 1.04, 1.35), higher provider self-efficacy to deliver the vaccine according to guideline recommendations if parents were hesitant (OR 1.21, 95% CI, 1.05, 1.40), and higher VDSS (OR 1.20, 95% CI, 1.10, 1.31). CONCLUSIONS: Provider and practice-level factors were identified that may represent modifiable targets for improvement in on-time vaccine uptake. Future research is needed to test interventions built on these findings.

Does the neighborhood built environment moderate the effectiveness of a weight-loss intervention for mothers with overweight or obesity? Findings from the Healthy Eating and Active Living Taught at Home (HEALTH) study.

BACKGROUND: Women of childbearing age are vulnerable to weight gain and experience a high prevalence of obesity due to pregnancy and stressors of parenthood. Lifestyle interventions such as the Healthy Eating and Active Living Taught at Home (HEALTH) study have been effective for weight loss; however, little is known about how the built environment (parks, transit, grocery stores, fast food, walkability etc.), where participants live might modify intervention effectiveness. This study examined whether characteristics of the neighborhood built environment modified effectiveness of the HEALTH study on weight loss.  METHODS: Secondary data analysis was conducted using data from HEALTH. Using GIS, buffers were built around participant addresses to capture distance to and availability of food (grocery store, convenience store, fast food) and urban design and transit (parks, street connectivity, transit) built environment characteristics. Built environment characteristics were dichotomized into low and high density and distance. Likelihood ratio tests for interaction were conducted to determine if built environment characteristics modified intervention effectiveness on Body mass index (BMI) and waist circumference (WC). Mixed effects linear regression models were then run to estimate the effect of the HEALTH intervention on weight outcomes at 24-months across both strata of built environment characteristics.  RESULTS: The analytic sample (n = 151) had baseline mean BMI 34.9 (SD = 5.8) and mean WC 46.0 cm (SD4.9). All urban design and transit and all food environment characteristics modified HEALTH effectiveness on one or both weight outcomes. The built environment modified the HEALTH intervention such that it was mostly effective for mothers residing in neighborhoods with low transit access, low street connectivity, high park access, and low access to grocery stores, convenience stores, and fast food. CONCLUSIONS: Result show the HEALTH was most effective for women residing neighborhoods with built environment characteristics suggestive of suburban neighborhood typology. To maximize impact for mothers residing in all types of neighborhoods, future research should explore scaling up HEALTH in suburban settings, while adapting HEALTH to maximize effectiveness in compact neighborhoods most likely, urban core neighborhoods.

Effect of excessive gestational weight gain on insulin sensitivity and insulin kinetics in women with overweight/obesity.

OBJECTIVE: Obesity increases the risk for pregnancy complications and maternal hyperglycemia. The Institute of Medicine developed guidelines for gestational weight gain (GWG) targets for women with overweight/obesity, but it is unclear whether exceeding these targets has adverse effects on maternal glucose metabolism. METHODS: Insulin sensitivity (assessed using the Matsuda Insulin Sensitivity Index), ß-cell function (assessed as insulin secretion rate in relation to plasma glucose), and plasma insulin clearance rate were evaluated using a frequently sampled oral glucose tolerance test at 15 and 35 weeks of gestation in 184 socioeconomically disadvantaged African American women with overweight/obesity. RESULTS: Insulin sensitivity decreased, whereas ß-cell function and insulin clearance increased from 15 to 35 weeks of gestation in the entire group. Compared with women who achieved the recommended GWG, excessive GWG was associated with a greater decrease in insulin sensitivity between 15 and 35 weeks. ß-cell function and plasma insulin clearance were not affected by excessive GWG. CONCLUSIONS: These data demonstrate that gaining more weight during pregnancy than recommended by the Institute of Medicine is associated with functional effects on glucose metabolism.

Individual-Level and Neighborhood-Level Factors Associated with Longitudinal Changes in Cardiometabolic Measures in Participants of a Clinic-Based Care Coordination Program: A Secondary Data Analysis.

Background: Identifying individual and neighborhood-level factors associated with worsening cardiometabolic risks despite clinic-based care coordination may help identify candidates for supplementary team-based care. Methods: Secondary data analysis of data from a two-year nurse-led care coordination program cohort of Medicare, Medicaid, dual-eligible adults, Leveraging Information Technology to Guide High Tech, High Touch Care (LIGHT2), from ten Midwestern primary care clinics in the U.S. Outcome Measures: Hemoglobin A1C, low-density-lipoprotein (LDL) cholesterol, and blood pressure. Multivariable generalized linear regression models assessed individual and neighborhood-level factors associated with changes in outcome measures from before to after completion of the LIGHT2 program. Results: 6378 participants had pre-and post-intervention levels reported for at least one outcome measure. In adjusted models, higher pre-intervention cardiometabolic measures were associated with worsening of all cardiometabolic measures. Women had worsening LDL-cholesterol compared with men. Women with pre-intervention HbA1c > 6.8% and systolic blood pressure > 131 mm of Hg had worse post-intervention HbA1c and systolic blood pressure compared with men. Adding individual's neighborhood-level risks did not change effect sizes significantly. Conclusions: Increased cardiometabolic risks and gender were associated with worsening cardiometabolic outcomes. Understanding unresolved gender-specific needs and preferences of patients with increased cardiometabolic risks may aid in tailoring clinic-community-linked care planning.

Collaboration networks of the implementation science centers for cancer control: a social network analysis.

BACKGROUND: Multi-center research initiatives offer opportunities to develop and strengthen connections among researchers. These initiatives often have goals of increased scientific collaboration which can be examined using social network analysis. METHODS: The National Cancer Institute (NCI)-funded Implementation Science Centers in Cancer Control (ISC3) initiative conducted an online social network survey in its first year of funding (2020) to (1) establish baseline network measures including the extent of cross-center collaboration and (2) assess factors associated with a network member's access to the network such as one's implementation science (IS) expertise. Members of the seven funded centers and NCI program staff identified collaborations in planning/conducting research, capacity building, product development, scientific dissemination, and practice/policy dissemination. RESULTS: Of the 192 invitees, 182 network members completed the survey (95%). The most prevalent roles were faculty (60%) and research staff (24%). Almost one-quarter (23%) of members reported advanced expertise in IS, 42% intermediate, and 35% beginner. Most members were female (69%) and white (79%). One-third (33%) of collaboration ties were among members from different centers. Across all collaboration activities, the network had a density of 14%, suggesting moderate cohesion. Degree centralization (0.33) and betweenness centralization (0.07) measures suggest a fairly dispersed network (no single or few central member(s) holding all connections). The most prevalent and densely connected collaboration was in planning/conducting research (1470 ties; 8% density). Practice/policy dissemination had the fewest collaboration, lowest density (284 ties' 3% density), and the largest number of non-connected members (n=43). Access to the ISC3 network varied significantly depending on members' level of IS expertise, role within the network, and racial/ethnic background. Across all collaboration activities, most connected members included those with advanced IS expertise, faculty and NCI staff, and Hispanic or Latino and white members. CONCLUSIONS: Results establish a baseline for assessing the growth of cross-center collaborations, highlighting specific areas in need of particular growth in network collaborations such as increasing engagement of racial and ethnic minorities and trainees or those with less expertise in IS.

Promoting rigor and sustainment in implementation science capacity building programs: A multi-method study.

Background: The field of Implementation science (IS) continues to evolve, and the number and type of IS capacity building Programs (ISCBPs) are in flux. These changes push the field to revisit the accepted IS competencies and to guide sustainment of ISCBPs. Our objectives were: (1) compare characteristics of current ISCBPs; (2) identify recommendations to support ISCBP sustainment; (3) measure how often ISCBPs address IS competencies; (4) identify novel and important IS competencies for the field. Method: This multi-method study included ISCBPs delivering structured, longitudinal IS training, excluding single courses and brief workshops. We used three complementary methods to meet our objectives. First, we identified ISCBPs via an internet search and snowball sampling methods. Second, we surveyed these ISCBPs to identify areas of program focus, types of trainees, IS competencies addressed, and recommendations to sustain ISCBPs. Third, we conducted a modified Delphi process with IS researchers/leaders to reach consensus on the IS competencies that were both important and novel as compared to the IS competencies published to date. Results: Among 74 eligible ISCBPs identified, 46 responded (62% response rate). Respondent ISCBPs represented diverse areas of focus (e.g., global health, cardiopulmonary disease) and trainee stages (e.g., graduate students, mid-career faculty). While most respondent ISCBPs addressed core IS methods, targeting IS competencies was less consistent (33% for nongraduate/non-fellowship ISCBPs; >90% for graduate/national ISCBPs). Our modified Delphi process identified eight novel and important IS competencies related to increasing health equity or the speed of translation. Recommendations to sustain ISCBPs included securing financial administrative support. Conclusions: Current ISCBPs train learners across varying career stages in diverse focus areas. To promote rigor, we recommend ISCBPs address specific IS competencies, with consideration of these eight novel/emerging competencies. We also recommend ISCBPs report on their IS competencies, focus area(s), and trainee characteristics. ISCBP programs need administrative financial support. Plain Language Summary: There is a limited workforce capacity to conduct implementation science (IS) research. To address this gap, the number and type of IS capacity building Programs (ISCBPs) focusing on training researchers and practitioners in IS methods continue to increase. Our efforts to comprehensively identify and describe ISCBPs for researchers and practitioners highlighted four implications for leaders of ISCBPs related to program sustainment and rigor. First, we identified a range of contextual characteristics of ISCBPs, including the research topics, methods, and IS competencies addressed, and the types of trainees accepted. Second, given the variability of trainee types and research, rigorous ISCBP programs should tailor the IS competencies and methods addressed to the skills needed by the types of trainees in their program. Third, the field of IS needs to periodically revisit the competencies needed with attention to the skills needed in the field. We used a consensus-building process with ISCBP leaders and other IS experts to expand existing IS competencies and identified eight important, novel IS competencies that broadly relate to promoting health equity and speeding the translation of research to practice. Finally, as more institutions consider developing ISCBPs, we identified factors needed to support ISCBP sustainment, including ongoing financial support. In addition to these implications for ISCBP leaders, there are also policy implications. For example, IS journals may enact policies to require manuscripts evaluating ISCBP performance to report on certain contextual characteristics, such as the IS competencies addressed and types of trainees accepted. The field may also consider developing an accreditation body to evaluate the rigor of ISCBP curricula.

Associations among social needs, health and healthcare utilization, and desire for navigation services among US Medicaid beneficiaries with type 2 diabetes.

The purpose of this study was to better understand the number and types of social needs experienced by Medicaid beneficiaries with type 2 diabetes, and how their social needs are associated with key health indicators. Also examined were factors that influence patients' interest in navigation services for health and social needs to inform future interventions and service delivery. The study expands upon prior research, much of which has focused on only one social need (e.g., food insecurity) or one health outcome. The hypothesis was that among individuals with type 2 diabetes, those with a greater number of social needs would report more health-related problems and be more interested in receiving social needs navigation services. Participants completed a cross-sectional survey by phone (n = 95) or online (n = 14). Most (85%) reported having at least one social need (M = 2.5, SD = 2.2), most commonly not having enough money for unexpected expenses (68%) or necessities like food, shelter and clothing (31%), medical costs (24%), and utilities (23%). Results supported our comprehensive conceptual model. Having more social needs was associated with greater perceived stress, diabetes distress, problems with sleep and executive and cognitive functioning, less frequent diabetes self-care activities, more days of poor mental health and activity limitations, worse self-reported health and more hospitalisations. Number of social needs also was positively associated with interest in having a social needs navigator. Social needs were not associated with days of poor physical health, BMI, self-reported A1C or smoking status. Social needs were associated with a wide range of indicators of poor health and well-being. Participants with the greatest social need burden were most open to intervention.

Social Determinants of Health Discussed with Mothers During Personal Visits Before and During the COVID-19 Pandemic.

Purpose: This report describes the social determinants of health (SDOH) discussed during personal visits at the time leading up to and during the first 4 months of the pandemic from families across the United States. Methods: This is a secondary analysis from a cluster randomized trial that embeds Healthy Eating and Active Living Taught at Home within Parents as Teachers (PAT). PAT is a national organization serving families prenatal through kindergarten, delivered by parent educators. After parent educators complete visits with mothers in the trial, they complete brief surveys including the question "Did issues with any of these come up during the visit?" with yes/no options for "Transportation," "Housing," "Food insecurity," "Childcare," "Financial constraint," or "Other." Results: Among the 60 mothers with visit records in the months before and during (March-July 2020) COVID-19, 55% identified as Hispanic or Latino and 52% reported food insecurity at baseline. During COVID-19, financial constraints and other SDOH were as common as they were before COVID-19; childcare issues were discussed less frequently and food security was discussed more frequently. When comparing the number of SDOH parent educators reported discussing with mothers in visits that took place before COVID-19 with the number of SDOH discussed in visits during COVID-19, the number of SDOH increased for 41% for mothers identifying as Hispanic or Latino and only 8% for non-Hispanic or Latino mothers. Conclusions: This study can help build an understanding of how COVID-19 is impacting families, and how these impacts may be inequitable. Clinical Trial Registration Number: NCT03758638.

Implementation science should give higher priority to health equity.

BACKGROUND: There is growing urgency to tackle issues of equity and justice in the USA and worldwide. Health equity, a framing that moves away from a deficit mindset of what society is doing poorly (disparities) to one that is positive about what society can achieve, is becoming more prominent in health research that uses implementation science approaches. Equity begins with justice-health differences often reflect societal injustices. Applying the perspectives and tools of implementation science has potential for immediate impact to improve health equity. MAIN TEXT: We propose a vision and set of action steps for making health equity a more prominent and central aim of implementation science, thus committing to conduct implementation science through equity-focused principles to achieve this vision in U.S. research and practice. We identify and discuss challenges in current health disparities approaches that do not fully consider social determinants. Implementation research challenges are outlined in three areas: limitations of the evidence base, underdeveloped measures and methods, and inadequate attention to context. To address these challenges, we offer recommendations that seek to (1) link social determinants with health outcomes, (2) build equity into all policies, (3) use equity-relevant metrics, (4) study what is already happening, (5) integrate equity into implementation models, (6) design and tailor implementation strategies, (7) connect to systems and sectors outside of health, (8) engage organizations in internal and external equity efforts, (9) build capacity for equity in implementation science, and (10) focus on equity in dissemination efforts. CONCLUSIONS: Every project in implementation science should include an equity focus. For some studies, equity is the main goal of the project and a central feature of all aspects of the project. In other studies, equity is part of a project but not the singular focus. In these studies, we should, at a minimum, ensure that we "leave no one behind" and that existing disparities are not widened. With a stronger commitment to health equity from funders, researchers, practitioners, advocates, evaluators, and policy makers, we can harvest the rewards of the resources being invested in health-related research to eliminate disparities, resulting in health equity.

The moderating role of the built environment in prenatal lifestyle interventions.

This study examined whether the neighborhood built environment moderated gestational weight gain (GWG) in LIFE-Moms clinical trials. Participants were 790 pregnant women (13.9 weeks' gestation) with overweight or obesity randomized within four clinical centers to standard care or lifestyle intervention to reduce GWG. Geographic information system (GIS) was used to map the neighborhood built environment. The intervention relative to standard care significantly reduced GWG (coefficient = 0.05; p = 0.005) and this effect remained significant (p < 0.03) after adjusting for built environment variables. An interaction was observed for presence of fast food restaurants (coefficient = -0.007; p = 0.003). Post hoc tests based on a median split showed that the intervention relative to standard care reduced GWG in participants living in neighborhoods with lower fast food density 0.08 [95% CI, 0.03,0.12] kg/week (p = 0.001) but not in those living in areas with higher fast food density (0.02 [-0.04, 0.08] kg/week; p = 0.55). Interaction effects suggested less intervention efficacy among women living in neighborhoods with more grocery/convenience stores (coefficient = -0.005; p = 0.0001), more walkability (coefficient -0.012; p = 0.007) and less crime (coefficient = 0.001; p = 0.007), but post-hoc tests were not significant. No intervention x environment interaction effects were observed for total number of eating establishments or tree canopy. Lifestyle interventions during pregnancy were effective across diverse physical environments. Living in environments with easy access to fast food restaurants may limit efficacy of prenatal lifestyle interventions, but future research is needed to replicate these findings.

Expanding Implementation Research to Prevent Chronic Diseases in Community Settings.

Chronic disease prevention continues to be inadequate, overall and in achieving health equity, in spite of the many evidence-based practices and policies (EBPPs) available to address risk behaviors such as unhealthful eating, lack of physical activity, and tobacco use. Although clinical settings are needed for EBPPs that involve medical procedures such as immunization or early detection, dissemination of EBPPs can be effective in a variety of settings such as schools and childcare centers, worksites, social service organizations, and religious organizations. More implementation research is needed to meet challenges of effective application of EBPPs in such community settings, in which primary missions, capacity, cultures, and values do not focus on health services delivery. To address health equity, consideration of social and economic contexts of people reached in these settings is essential. This review presents lessons learned from past studies to guide future implementation research and practice across diverse settings and geographies.

Building the Next Generation of Researchers: Mentored Training in Dissemination and Implementation Science.

PROBLEM: Dissemination and implementation (D&I) science provides the tools needed to close the gap between known intervention strategies and their effective application. The authors report on the Mentored Training for Dissemination and Implementation Research in Cancer (MT-DIRC) program-a D&I training program for postdoctoral or early-career cancer prevention and control scholars. APPROACH: MT-DIRC was a 2-year training institute in which fellows attended 2 annual Summer Institutes and other conferences and received didactic, group, and individual instruction; individualized mentoring; and other supports (e.g., pilot funding). A quasi-experimental design compared changes in 3 areas: mentoring, skills, and network composition. To evaluate mentoring and D&I skills, data from fellows on their mentors' mentoring competencies, their perspectives on the importance of and satisfaction with mentoring priority areas, and their self-rated skills in D&I competency domains were collected. Network composition data were collected from faculty and fellows for 3 core social network domains: contact, mentoring, and collaboration. Paired t tests (mentoring), linear mixed models (skills), and descriptive analyses (network composition) were performed. OUTCOMES: Mentors were rated as highly competent across all mentoring competencies, and each mentoring priority area showed reductions in gaps between satisfaction and importance between the 6 and 18 months post-first Summer Institute. Fellows' self-rated skills in D&I competencies improved significantly in all domains over time (range: 42.5%-52.9% increase from baseline to 18 months post-first Summer Institute). Mentorship and collaboration networks grew over time, with the highest number of collaboration network ties for scholarly manuscripts (n = 199) in 2018 and for research projects (n = 160) in 2019. NEXT STEPS: Building on study findings and existing literature, mentored training of scholars is an important approach for building D&I skills and networks, and thus to better applying the vast amount of available intervention evidence to benefit cancer control.