Investigating the Role of Local Board of Health Governance on Local Health Department Policymaking Behavior.

OBJECTIVES: This study sought to identify groupings of policymaking behavior among local governmental health departments (LHDs) across the country and assess whether such groupings were associated with the governance activity of their board of health (BOH). DESIGN: We conducted latent class analysis (LCA) to identify possible classes of policymaking behavior among LHDs. Once classes were identified, we used multinomial logistic regression (MLN) to estimate the association between an LHD's policymaking behavior and the governance activity of their BOH. SETTING: 2019 wave of the National Association of City and County Health Officials (NACCHO) Profile Survey. PARTICIPANTS: All LHDs with BOHs in the 2019 NACCHO Profile Survey (n = 1003). OUTCOME MEASURES: Within our MLN, our primary outcome of interest was the association between an LHD's policymaking class (the main dependent variable) and the governance activity of its BOH (the main independent variable). RESULTS: Based on our LCA, we determined our sample to be composed of what we characterized as "Limited Policy-Involvement," "Average Policy Involvement," and "Expanded Policy Involvement" LHDs. Those in the Expanded Class were more likely to be involved across all policy areas compared to the Limited and Average class, especially among social determinants of health (SDOH)-related areas. Our MLN estimated that having a BOH active in legal authority was associated with an 86% increased chance that an LHD would be in the "Average Class" compared to the "Limited Class" and having a BOH active in partnership engagement was associated with an 86% more likely chance that an LHD is in the "Expanded Class" compared to the "Average Class." CONCLUSION: Using nationally representative data on LHD activity, we found distinct groups of policymaking behavior, including a quarter of LHDs that are highly active in traditional and SDOH-related policy areas. We also found that groupings of policymaking behavior, as indicated by class designation, are strongly associated with the BOH's governance activity.

Protocol for an interview-based method for mapping mental models using causal-loop diagramming and realist interviewing.

Causal-loop diagramming, a method from system dynamics, is increasingly used in evaluation to describe individuals' understanding of how policies or programs do or could work ("mental models"). The use of qualitative interviews to inform model development is common, but guidance for how to design and conduct these interviews to elicit causal information in participant mental models is scant. A key strength of semi-structured qualitative interviews is that they let participants speak freely; they are not, however, designed to elicit causal information. Moreover, much of human communication about mental models-particularly larger causal structures such as feedback loops-is implicit. In qualitative research, part of the skill and art of effective interviewing and analysis involves listening for information that is expressed implicitly. Similarly, a skilled facilitator can recognize and inquire about implied causal structures, as is commonly done in group model building. To standardize and make accessible these approaches, we have formalized a protocol for designing and conducting semi-structured interviews tailored to eliciting mental models using causal-loop diagramming. We build on qualitative research methods, system dynamics, and realist interviewing. This novel, integrative method is designed to increase transparency and rigor in the use of interviews for system dynamics and has a variety of potential applications.

Inclusion of marginalized populations in HPV vaccine modeling: A systematic review.

OBJECTIVE: Models simulating the potential impacts of Human Papillomavirus (HPV) vaccine have been used globally to guide vaccination policies and programs. We sought to understand how and why marginalized populations have been incorporated into HPV vaccine simulation models. METHODS: We conducted a systematic search of PubMed, CINAHL, Scopus, and Embase to identify studies using simulation models of HPV vaccination incorporating one or more marginalized population through stratification or subgroup analysis. We extracted data on study characteristics and described these overall and by included marginalized groups. RESULTS: We identified 36 studies that met inclusion criteria, which modeled vaccination in 21 countries. Models included men who have sex with men (MSM; k = 16), stratification by HIV status (k = 9), race/ethnicity (k = 6), poverty (k = 5), rurality (k = 4), and female sex workers (k = 1). When evaluating for a marginalized group (k = 10), HPV vaccination was generally found to be cost-effective, including for MSM, individuals living with HIV, and rural populations. In studies evaluating equity in cancer prevention (k = 9), HPV vaccination generally advanced equity, but this was sensitive to differences in HPV vaccine uptake and use of absolute or relative measures of inequities. Only one study assessed the impact of an intervention promoting HPV vaccine uptake. DISCUSSION: Incorporating marginalized populations into decision models can provide valuable insights to guide decision making and improve equity in cancer prevention. More research is needed to understand the equity impact of HPV vaccination on cancer outcomes among marginalized groups. Research should emphasize implementation - including identifying and evaluating specific interventions to increase HPV vaccine uptake.

Supporting the 'lived expertise' of older adults with type 1 diabetes: An applied focus group analysis to characterize barriers, facilitators, and strategies for self-management in a growing and understudied population.

INTRODUCTION: There is a growing number of older adults (≥65 years) who live with type 1 diabetes. We qualitatively explored experiences and perspectives regarding type 1 diabetes self-management and treatment decisions among older adults, focusing on adopting care advances such as continuous glucose monitoring (CGM). METHODS: Among a clinic-based sample of older adults ≥65 years with type 1 diabetes, we conducted a series of literature and expert informed focus groups with structured discussion activities. Groups were transcribed followed by inductive coding, theme identification, and inference verification. Medical records and surveys added clinical information. RESULTS: Twenty nine older adults (age 73.4 ± 4.5 years; 86% CGM users) and four caregivers (age 73.3 ± 2.9 years) participated. Participants were 58% female and 82% non-Hispanic White. Analysis revealed themes related to attitudes, behaviours, and experiences, as well as interpersonal and contextual factors that shape self-management and outcomes. These factors and their interactions drive variability in diabetes outcomes and optimal treatment strategies between individuals as well as within individuals over time (i.e. with ageing). Participants proposed strategies to address these factors: regular, holistic needs assessments to match people with effective self-care approaches and adapt them over the lifespan; longitudinal support (e.g., education, tactical help, sharing and validating experiences); tailored education and skills training; and leveraging of caregivers, family, and peers as resources. CONCLUSIONS: Our study of what influences self-management decisions and technology adoption among older adults with type 1 diabetes underscores the importance of ongoing assessments to address dynamic age-specific needs, as well as individualized multi-faceted support that integrates peers and caregivers.

Implementation strategies in the Exploration and Preparation phases of a colorectal cancer screening intervention in community health centers.

BACKGROUND: Adoption of colorectal cancer (CRC) screening has lagged in community health center (CHC) populations in the USA. To address this implementation gap, we developed a multilevel intervention to improve screening in CHCs in our region. We used the Exploration, Preparation, Implementation, Sustainment (EPIS) framework to guide this effort. Here, we describe the use of implementation strategies outlined in the Expert Recommendations for Implementing Change (ERIC) compilation in both the Exploration and Preparation phases of this project. During these two EPIS phases, we aimed to answer three primary questions: (1) What factors in the inner and outer contexts may support or hinder colorectal cancer screening in North Carolina CHCs?; (2) What evidence-based practices (EBPs) best fit the needs of North Carolina CHCs?; and (3) How can we best integrate the selected EBPs into North Carolina CHC systems? METHODS: During the Exploration phase, we conducted local needs assessments, built a coalition, and conducted local consensus discussions. In the Preparation phase, we formed workgroups corresponding to the intervention's core functional components. Workgroups used cyclical small tests of change and process mapping to identify implementation barriers and facilitators and to adapt intervention components to fit inner and outer contexts. RESULTS: Exploration activities yielded a coalition of stakeholders, including two rural CHCs, who identified barriers and facilitators and reached consensus on two EBPs: mailed FIT and navigation to colonoscopy. Stakeholders further agreed that the delivery of those two EBPs should be centralized to an outreach center. During Preparation, workgroups developed and refined protocols for the following centrally-delivered intervention components: a registry to identify and track eligible patients, a centralized system for mailing at-home stool tests, and a process to navigate patients to colonoscopy after an abnormal stool test. CONCLUSIONS: This description may be useful both to implementation scientists, who can draw lessons from applied implementation studies such as this to refine their implementation strategy typologies and frameworks, as well as to implementation practitioners seeking exemplars for operationalizing strategies in early phases of implementation in healthcare.

Strengthening the System Supporting Perinatal People with Substance Use Disorder in the Midwest Using Group Model Building.

INTRODUCTION: Providing comprehensive, evidence-based care to perinatal people with substance use disorders (SUD) requires multi-stakeholder collaboration and alignment. The National Maternal and Child Health Workforce Development Center facilitated a system-strengthening process with the Midwest substance use in pregnancy (SUPper) club, a regional collaborative of health care providers, state public health agencies, and community-rooted organizations. METHODS: Facilitators led a 2 day group model building (GMB) workshop with 20 participants and two semi-structured interviews. Workshop participants were invited to complete an evaluation. RESULTS: Two primary trends were identified as priorities for change: (1) Birthing people's perception/experience of stigma and (2) The Midwest SUPper Club's reach and influence. Three causal loop diagrams (CLDs) were created to capture the interconnected dynamics of the Midwest perinatal SUD system: (1) the influence of stigma on maternal and infant health outcomes, (2) the role of clinic, organizational, and state policies, and (3) the impact of workforce education and evidence-based practices on care. From the CLDs, four priorities for action emerged: (1) align and promote shared mental models across stakeholders, (2) expand education and training opportunities for the perinatal SUD workforce, (3) strengthen systems infrastructure to support care navigation for patients and providers, and (4) collaboratively identify evidence-based practices that meet regional needs. All evaluation respondents reported that the workshop supported the development of a shared mental model. DISCUSSION: The GMB process strengthened collaboration and advanced strategic planning for the SUPper Club. GMB can be further utilized among diverse stakeholders across MCH systems to create shared mental models and accelerate collaborative planning efforts.

Contraceptive Behavior Dynamics and Unintended Pregnancy: A Latent Transition Analysis.

The average U.S. woman wants to have two children; to do so, she will spend about three years pregnant, postpartum, or trying to become pregnant, and three decades trying to avoid pregnancy. However, few studies have examined individual patterns of contraceptive use over time. These trajectories are important to understand given the high rate of unintended pregnancy and how little we know about the complex relationship between contraceptive use, pregnancy intention, and patterns of reproductive behavior. We use data from the 2015-2017 National Survey of Family Growth to examine reproductive behavior and pregnancies across three years of calendar data. We identify seven behavior typologies, their prevalence, how women transition between them, and how pregnancies affect transitions. At any given time, half of women are reliably using contraception. A small proportion belong to a high pregnancy risk profile of transient contraceptive users, but some transition to using condoms or other methods consistently. An unintended pregnancy may initiate a transition into stable contraceptive use for some women, although that is primarily condom use. These findings have important implications for the ways contraception fits into women's lives and how that behavior interacts with relationships, sex, and life stage trajectories.

Multi-level predictors of being up-to-date with colorectal cancer screening.

PURPOSE: Assessing factors associated with being up-to-date with colorectal cancer (CRC) screening is important for identifying populations for which targeted interventions may be needed. METHODS: This study used Medicare and private insurance claims data for residents of North Carolina to identify up-to-date status in the 10th year of continuous enrollment in the claims data and in available subsequent years. USPSTF guidelines were used to define up-to-date status for multiple recommended modalities. Area Health Resources Files provided geographic and health care service provider data at the county level. A generalized estimating equation logistic regression model was used to examine the association between individual- and county-level characteristics and being up-to-date with CRC screening. RESULTS: From 2012-2016, 75% of the sample (n = 274,660) age 59-75 was up-to-date. We identified several individual- (e.g., sex, age, insurance type, recent visit with a primary care provider, distance to nearest endoscopy facility, insurance type) and county-level (e.g., percentage of residents with a high school education, without insurance, and unemployed) predictors of being up-to-date. For example, individuals had higher odds of being up-to-date if they were age 73-75 as compared to age 59 [OR: 1.12 (1.09, 1.15)], and if living in counties with more primary care physicians [OR: 1.03 (1.01, 1.06)]. CONCLUSION: This study identified 12 individual- and county-level demographic characteristics related to being up-to-date with screening to inform how interventions may optimally be targeted.

Feasibility of Systems Support Mapping to guide patient-driven health self-management in colorectal cancer survivors.

OBJECTIVE: To evaluate feasibility of System Support Mapping (MAP), a systems thinking activity that involves creating a diagram of existing self-management activities (e.g. symptom management, health behaviors) to facilitate autonomous engagement in optimal self-management. DESIGN: One-arm pilot study of MAP in colorectal cancer survivors (NCT03520283). MAIN OUTCOME MEASURES: Feasibility of recruitment and retention (primary outcome), acceptability, and outcome variability over time. RESULTS: We enrolled 24 of 66 cancer survivors approached (36%) and 20 completed follow-up (83%). Key reasons for declining participation included: not interested (n = 18), did not perceive a need (n = 9), and emotional distress/overwhelmed (n = 7). Most participants reported that MAP was acceptable (e.g. 80% liked MAP quite a bit/very much). Exploratory analyses revealed a -4.68 point reduction in fatigue from before to 2 weeks after MAP exceeding a minimally important difference (d = -0.68). There were also improvements in patient autonomy (d = 0.63), self-efficacy (for managing symptoms: d = 0.56, for managing chronic disease: d = 0.44), psychological stress (d = -0.45), anxiety (d = -0.34), sleep disturbance (d = -0.29) and pain (d = -0.32). Qualitative feedback enhanced interpretation of results. CONCLUSIONS: MAP feasibility in colorectal cancer survivors was mixed, predominantly because many patients did not perceive a need for this approach. MAP was acceptable among participants and showed promise for improving health outcomes.

"What Do You Consider Use?" Perspectives of Black Youth on Cannabis Use.

PURPOSE: Adolescent health surveillance systems are critical for understanding patterns of cannabis use; however, their limitations underscore the need for studies that generate new insights, particularly from individuals who are most impacted by negative outcomes. Our objectives were to learn about youths' cannabis use and their perceptions of their peers' cannabis use; their perspectives about trajectories of cannabis use over time and factors that influence trajectories; and perceived risks and benefits associated with cannabis use. METHODS: A group model building approach was used to gather data about cannabis use from a sample of urban, Black youth. Information about participants' cannabis use was assessed on eligibility screener, enrollment survey, and through structured activities over the course of four group model building workshops. RESULTS: Participants [(n = 20) mean age 18; 35% male and 95% Black] exclusively used the terms weed and blunts for cannabis. Youth who consume peers' blunts would not characterize themselves as cannabis users. Collectively, youth estimated the majority of Baltimore youth used cannabis by age 16 and that most used daily. Youth described cannabis as more beneficial than harmful. There were no gender differences in prevalence of use, but there were gender dynamics to shared use. DISCUSSION: Participatory research with urban, Black youth suggests youths' perceptions are misaligned with the ways that researchers conceptualize cannabis use. To better understand the scope of youth cannabis use and its harms, it is critical to leverage input from youth with lived experience to ensure survey tools adequately capture the way youth see themselves using cannabis.

A Multi-Stakeholder Perspective on Factors Affecting Successful Transition to Adulthood for Youth with Severe Emotional Disturbances.

This study elicited the perspectives of youth, caregivers, service providers and researchers to explore how communities can best support the transition to adulthood for youth ages 16-21 with mental health and functional impairments, who are at risk of disconnecting from health and human services. Framed by Relational Systems Evaluation (RSE) and Positive Youth Development (PYD), our study demonstrates the importance of engagement with youth experts. Group Concept Mapping (GCM), a collaborative multiphase mixed-methods approach, was used as a systematic process for participants to make meaning of qualitative data using multidimensional scaling and hierarchical cluster analysis (Kane and Trochim in Concept mapping for planning and evaluation, Sage Publications Inc., Thousand Oaks, 2007). Across all participant groups, Life Skills were perceived as highly important and highly feasible for a successful transition to adulthood. However, Positive Social Support & Connectedness were viewed as less important and less feasible by all groups. When examined closely, youth perspectives differed from caregiver and provider perspectives in the factors they prioritized and deemed feasible. Our findings have implications for community mental health services and positive youth development program practitioners.

Practical Approaches for Promoting Health Equity in Communities.

The Maternal and Child Health workforce, public health practitioners, researchers, and other groups need clear, practical guidance on how to promote health equity in the communities they serve. The National Maternal and Child Health Workforce Development Center's Health Equity Team synthesized eight approaches for promoting health equity that drew on their experience working with public health practitioners and communities. The approaches are to: Expand the understanding of the drivers of health and work across sectors; Take a systems approach; Reflect on your own organization; Follow the lead of communities who experience injustices; Work with community members, decision-makers, and other stakeholders to prioritize action; Foster agency within individuals and collective action within groups; Identify and collect data to show where health inequities currently exist to inform equitable investment of resources; and Be accountable to outcomes that reflect real improvements in people's lives. The fields of maternal and child health and public health more broadly is already engaged in the complex work of promoting equity and social justice, and in doing so, should refine, challenge, add to, and build upon these approaches.

Vaccinating children against COVID-19 is crucial to protect schools and communities.

To evaluate the joint impact of childhood vaccination rates and school masking policies on community transmission and severe outcomes due to COVID-19, we utilized a stochastic, agent-based simulation of North Carolina to test 24 health policy scenarios. In these scenarios, we varied the childhood (ages 5 to 19) vaccination rate relative to the adult's (ages 20 to 64) vaccination rate and the masking relaxation policies in schools. We measured the overall incidence of disease, COVID-19-related hospitalization, and mortality from 2021 July 1 to 2023 July 1. Our simulation estimates that removing all masks in schools in January 2022 could lead to a 31% to 45%, 23% to 35%, and 13% to 19% increase in cumulative infections for ages 5 to 9, 10 to 19, and the total population, respectively, depending on the childhood vaccination rate. Additionally, achieving a childhood vaccine uptake rate of 50% of adults could lead to a 31% to 39% reduction in peak hospitalizations overall masking scenarios compared with not vaccinating this group. Finally, our simulation estimates that increasing vaccination uptake for the entire eligible population can reduce peak hospitalizations in 2022 by an average of 83% and 87% across all masking scenarios compared to the scenarios where no children are vaccinated. Our simulation suggests that high vaccination uptake among both children and adults is necessary to mitigate the increase in infections from mask removal in schools and workplaces.

Assessing the impact of multicomponent interventions on colorectal cancer screening through simulation: What would it take to reach national screening targets in North Carolina?

Healthy People 2020 and the National Colorectal Cancer Roundtable established colorectal cancer (CRC) screening targets of 70.5% and 80%, respectively. While evidence-based interventions (EBIs) have increased CRC screening, the ability to achieve these targets at the population level remains uncertain. We simulated the impact of multicomponent interventions in North Carolina over 5 years to assess the potential for meeting national screening targets. Each intervention scenario is described as a core EBI with additional components indicated by the "+" symbol: patient navigation for screening colonoscopy (PN-for-Col+), mailed fecal immunochemical testing (MailedFIT+), MailedFIT+ targeted to Medicaid enrollees (MailedFIT + forMd), and provider assessment and feedback (PAF+). Each intervention was simulated with and without Medicaid expansion and at different levels of exposure (i.e., reach) for targeted populations. Outcomes included the percent up-to-date overall and by sociodemographic subgroups and number of CRC cases and deaths averted. Each multicomponent intervention was associated with increased CRC screening and averted both CRC cases and deaths; three had the potential to reach screening targets. PN-for-Col + achieved the 70.5% target with 97% reach after 1 year, and the 80% target with 78% reach after 5 years. MailedFIT+ achieved the 70.5% target with 74% reach after 1 year and 5 years. In the Medicaid population, assuming Medicaid expansion, MailedFIT + forMd reached the 70.5% target after 5 years with 97% reach. This study clarifies the potential for states to reach national CRC screening targets using multicomponent EBIs, but decision-makers also should consider tradeoffs in cost, reach, and ability to reduce disparities when selecting interventions.

Cost-effectiveness frameworks for comparing genome and exome sequencing versus conventional diagnostic pathways: A scoping review and recommended methods.

PURPOSE: Methodological challenges have limited economic evaluations of genome sequencing (GS) and exome sequencing (ES). Our objective was to develop conceptual frameworks for model-based cost-effectiveness analyses (CEAs) of diagnostic GS/ES. METHODS: We conducted a scoping review of economic analyses to develop and iterate with experts a set of conceptual CEA frameworks for GS/ES for prenatal testing, early diagnosis in pediatrics, diagnosis of delayed-onset disorders in pediatrics, genetic testing in cancer, screening of newborns, and general population screening. RESULTS: Reflecting on 57 studies meeting inclusion criteria, we recommend the following considerations for each clinical scenario. For prenatal testing, performing comparative analyses of costs of ES strategies and postpartum care, as well as genetic diagnoses and pregnancy outcomes. For early diagnosis in pediatrics, modeling quality-adjusted life years (QALYs) and costs over ≥20 years for rapid turnaround GS/ES. For hereditary cancer syndrome testing, modeling cumulative costs and QALYs for the individual tested and first/second/third-degree relatives. For tumor profiling, not restricting to treatment uptake or response and including QALYs and costs of downstream outcomes. For screening, modeling lifetime costs and QALYs and considering consequences of low penetrance and GS/ES reanalysis. CONCLUSION: Our frameworks can guide the design of model-based CEAs and ultimately foster robust evidence for the economic value of GS/ES.

Identifying key risk factors for premature discontinuation of opioid use disorder treatment in the United States: A predictive modeling study.

BACKGROUND: Treatment for opioid use disorder (OUD), particularly medication for OUD, is highly effective; however, retention in OUD treatment is a significant challenge. We aimed to identify key risk factors for premature exit from OUD treatment. METHODS: We analyzed 2,381,902 cross-sectional treatment episodes for individuals in the U.S., discharged between Jan/1/2015 and Dec/31/2019. We developed classification models (Random Forest, Classification and Regression Trees (CART), Bagged CART, and Boosted CART), and analyzed 31 potential risk factors for premature treatment exit, including treatment characteristics, substance use history, socioeconomic status, and demographic characteristics. We stratified our analysis based on length of stay in treatment and service setting. Models were compared using cross-validation and the receiver operating characteristic area under the curve (ROC-AUC). RESULTS: Random Forest outperformed other methods (ROC-AUC: 74%). The most influential risk factors included characteristics of service setting, geographic region, primary source of payment, and referral source. Race, ethnicity, and sex had far weaker predictive impacts. When stratified by treatment setting and length of stay, employment status and delay (days waited) to enter treatment were among the most influential factors. Their importance increased as treatment duration decreased. Notably, importance of referral source increased as the treatment duration increased. Finally, age and age of first use were important factors for lengths of stay of 2-7 days and in detox treatment settings. CONCLUSIONS: The key factors of OUD treatment attrition identified in this analysis should be more closely explored (e.g., in causal studies) to inform targeted policies and interventions to improve models of care.

Enhancing Title V Workforce Capacity to Address Complex Challenges: Impact of the National Maternal and Child Health Workforce Development Center.

INTRODUCTION: The National Maternal and Child Health Workforce Development Center provides training, coaching, and consultation to Title V programs. The flagship experience is the Cohort program, a 6-8-month leadership development program where Title V programs convene a multisector team to address a pre-selected state/jurisdictional challenge related to health systems transformation. The overall objective of this paper is to demonstrate the impact of skills developed via the Cohort program on state/jurisdictional capacities to address complex challenges. METHODS: Qualitative, post-Cohort evaluation data were analyzed using inductive and deductive coding and the "Sort and Sift, Think and Shift" method. Themes and supporting text were summarized using episode profiles for each team and subsequently organized using the EvaluLEAD methodology for identifying and documenting impact. RESULTS: Teams brought an array of challenges related to health systems transformation and 94% of teams reported achieving progress on their challenge six-months after the Cohort program. Teams described how the Cohort program improved workforce skills in strategic thinking, systems thinking, adaptive leadership, and communication. Teams also reported the Cohort program contributed to stronger partnerships, improved sustainability of their project, produced mindset shifts, and increased confidence. The Cohort program has also led to improved population health outcomes. DISCUSSION: Through working with the Center, Title V leaders and their teams achieved episodic, developmental, and transformative results through application of Center tools and skills to complex challenges. Investment in the MCH workforce through skill development is critical for achieving transformative results and solving "wicked" public health problems.

Insights from the national maternal and Child Health Workforce Development Center on Title V Teams' collaborative readiness and goal accomplishment.

PURPOSE: State Title V programs collaborate with diverse partners to improve maternal and child health. Since 2014, the National Maternal and Child Health Workforce Development Center has trained Title V leaders in facilitating system change. This article describes aspects of initial collaborative readiness differentiating state and jurisdiction teams that later reported meeting their goals to greater or lesser degrees. DESCRIPTION: We used quantitative data from initial team leader reports to characterize readiness to collaborate with external partners, and their responses twelve months later to a prompt about how fully they had accomplished their goals. In addition, we coded excerpts from team leader accounts six and twelve months into their work with the Center, and retrospective coach perspectives, to identify collaborative readiness patterns. ASSESSMENT: Teams whose leaders reported higher goal accomplishment twelve months after beginning work with the Center had initially reported higher levels of collaboration with key partners. Our analyses suggest that such teams were also better able to use their cohort experience with the Center to improve collaboration, including information sharing with external stakeholders. Challenges working with Medicaid were reported both by teams with more and less goal accomplishment. CONCLUSIONS: Title V teams with lower levels of initial collaborative readiness may benefit from additional support in skill development, connections to key partners, and convening power. Given the crucial and increasing role of Medicaid in maternal and child health systems, more attention may be warranted to supporting all Title V programs in partnering with this funder.

Developing State Leadership in Maternal and Child Health: Process Evaluation Findings from a Work-Based Learning Model for Leadership Development.

OBJECTIVES: Since 2013 the MCH Bureau has supported the National MCH Workforce Development Center to strengthen the Title V MCH workforce. This article describes the Center's Cohort Program and lessons learned about work-based learning, instruction, and coaching. DESCRIPTION: The Cohort Program is a leadership development program that enrolls state-level teams for skill development and work-based learning to address a self-identified challenge in their state. Teams attend a Learning Institute that teaches concepts, skills, and practical tools in systems integration; change management and adaptive leadership; and evidence-based decision-making and implementation. Teams then work back home on their challenges, aided by coaching. The Program's goals are for teams to expand and use their skills to address their challenge, and that teams would strengthen programs, organizations, and policies, use their skills to address other challenges, and ultimately improve MCH outcomes. METHODS: This process evaluation is based on evaluation forms completed by attendees at the three-day Learning Institute; six-month follow-up interviews with team leaders; and a modified focus group with staff. RESULTS: Participants and staff believe the Cohort Program effectively merges a practical skill-based curriculum, work-based learning in teams, and coaching. The Learning Institute provides a foundation of skills and tools, strengthens the team's relationship with their coach, and builds the team. The work-based learning period provides structure, accountability, and a "practice space" for teams to apply the Cohort Program's skills and tools to address their challenge. In this period, teams deepen collaborations and often add partners. The coach provides accessible and tailored guidance in teamwork and skill application. These dimensions helped teams in develop skills and address state-level MCH challenges. CONCLUSIONS FOR PRACTICE: Continuing professional development programs can help leaders learn to address complex state-level MCH challenges through integrated classroom-based skills development, work-based learning on state challenges, and tailored coaching.