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.

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.

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.

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.

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.

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.

A systematic review of the methodological quality of economic evaluations in genetic screening and testing for monogenic disorders.

PURPOSE: Understanding the value of genetic screening and testing for monogenic disorders requires high-quality, methodologically robust economic evaluations. This systematic review sought to assess the methodological quality among such studies and examined opportunities for improvement. METHODS: We searched PubMed, Cochrane, Embase, and Web of Science for economic evaluations of genetic screening/testing (2013-2019). Methodological rigor and adherence to best practices were systematically assessed using the British Medical Journal checklist. RESULTS: Across the 47 identified studies, there were substantial variations in modeling approaches, reporting detail, and sophistication. Models ranged from simple decision trees to individual-level microsimulations that compared between 2 and >20 alternative interventions. Many studies failed to report sufficient detail to enable replication or did not justify modeling assumptions, especially for costing methods and utility values. Meta-analyses, systematic reviews, or calibration were rarely used to derive parameter estimates. Nearly all studies conducted some sensitivity analysis, and more sophisticated studies implemented probabilistic sensitivity/uncertainty analysis, threshold analysis, and value of information analysis. CONCLUSION: We describe a heterogeneous body of work and present recommendations and exemplar studies across the methodological domains of (1) perspective, scope, and parameter selection; (2) use of uncertainty/sensitivity analyses; and (3) reporting transparency for improvement in the economic evaluation of genetic screening/testing.

Testing and extending strategies for identifying genetic disease-related encounters in pediatric patients.

PURPOSE: To better understand health care utilization and develop decision support tools, methods for identifying patients with suspected genetic diseases (GDs) are needed. Previous studies had identified inpatient-relevant International Classification of Diseases (ICD) codes that were possibly, probably, or definitely indicative of GDs. We assessed whether these codes identified GD-related inpatient, outpatient, and emergency department encounters among pediatric patients with suspected GDs from a previous study (the North Carolina Clinical Genomic Evaluation by Next-Generation Exome Sequencing [NCGENES] study). METHODS: Using the electronic medical records of 140 pediatric patients from the NCGENES study, we characterized the presence of ICD codes representing possible, probable, or definite GD-related diagnoses across encounter types. In addition, we examined codes from encounters for which initially no GD-related codes had been found and determined whether these codes were indicative of a GD. RESULTS: Among NCGENES patients with visits between 2014 and 2017, 92% of inpatient, 75% of emergency department, and 63% of outpatient encounters included ≥1 GD-related code. Encounters with highly specific (ie, definite) GD codes had fewer low-specificity GD codes than encounters with only low-specificity GD codes. We identified an additional 32 ICD-9 and 56 ICD-10 codes possibly indicative of a GD. CONCLUSION: Code-based strategies can be refined to assess health care utilization among pediatric patients and may contribute to a systematic approach to identify patients with suspected GDs.

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.

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.

Health insurance coverage among American Indians and Alaska Natives in the context of the Affordable Care Act.

Objectives: American Indians and Alaska Natives (AI/AN) have a unique healthcare system uniquely interwoven with the Affordable Care Act (ACA). The aim of this study is to document changes in health insurance among AI/AN adults before and after implementation of the ACA.Design: We used data from the American Community Survey from 2008 to 2016 to examine trends in health insurance. We compared to Non-Hispanic Whites and stratified AI/AN adults with and without Indian Health Service (IHS) coverage. We used multivariate regression to evaluate the probability of health insurance post-ACA and included time period and subgroup interaction terms.Results: Public and private health insurance coverage increased post-ACA by 3.17 and 1.24 percentage points, respectively, but the percent uninsured remained high (37.7% of those with IHS coverage and 19.2% of those without). AI/AN in Medicaid Expansion states had a significantly greater percentage point (pp) increase in public insurance (6.31 pp, 95% CI 5.04-7.59) than AI/AN in non-expansion states (p < 0.001). There was a greater increase in private coverage among AI/AN without IHS compared to AI/AN with IHS coverage (p = 0.002).Conclusions: Despite improvements in healthcare insurance coverage for AI/AN, substantial disparities remain. The improvements appeared to be largely driven by Medicaid Expansion. Without specific considerations for AI/AN, future healthcare reforms could intensify health injustices and inequities they face.

Health Impact Assessment: A Missed Opportunity for MCH Professionals in Their Quest to Address the Social Determinants of Health.

INTRODUCTION: Public health professionals, especially ones concerned with maternal and child health (MCH), need to engage in cross-sector collaborations to address social determinants of health. Health Impact Assessment (HIA) systematically brings public health perspectives into non-health decision-making contexts that influence social determinants. Alignment of MCH and HIA practice has not previously been documented. METHODS: An exploratory review of HIAs conducted in the United States considered several dimensions of MCH-HIA alignment and produced data to test the hypothesis that HIAs involving MCH stakeholders are more likely to address MCH populations and relevant measures. The review examined three key variables for each HIA: inclusion of MCH-focused stakeholders, level of focus on MCH populations, and presence of MCH-relevant content. RESULTS: Of the 424 HIAs included in the database of US HIAs, 350 were included in this review. Twenty-four percent (84) included MCH-focused stakeholders, and 42% (148) focused on MCH populations. Ninety percent (317) included metrics or content relevant to at least one Title V National Performance Measure (NPM). HIAs that clearly included MCH stakeholders had seven times the odds of including both a focus on MCH populations and at least one NPM-relevant topic compared to HIAs that did not clearly include MCH stakeholders (OR 6.98; 95% CI 3.99, 12.20). DISCUSSION: Despite low engagement of MCH stakeholders in HIAs, many still consider MCH populations and measures. Intentional engagement of MCH workforce in HIAs could ensure greater alignment with existing MCH priorities (such as addressing the social determinants of health and equity) in a given jurisdiction.

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.

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.

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.

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.

Strengthening methods for tracking adaptations and modifications to implementation strategies.

BACKGROUND: Developing effective implementation strategies requires adequate tracking and reporting on their application. Guidelines exist for defining and reporting on implementation strategy characteristics, but not for describing how strategies are adapted and modified in practice. We built on existing implementation science methods to provide novel methods for tracking strategy modifications. METHODS: These methods were developed within a stepped-wedge trial of an implementation strategy package designed to help community clinics adopt social determinants of health-related activities: in brief, an 'Implementation Support Team' supports clinics through a multi-step process. These methods involve five components: 1) describe planned strategy; 2) track its use; 3) monitor barriers; 4) describe modifications; and 5) identify / describe new strategies. We used the Expert Recommendations for Implementing Change taxonomy to categorize strategies, Proctor et al.'s reporting framework to describe them, the Consolidated Framework for Implementation Research to code barriers / contextual factors necessitating modifications, and elements of the Framework for Reporting Adaptations and Modifications-Enhanced to describe strategy modifications. RESULTS: We present three examples of the use of these methods: 1) modifications made to a facilitation-focused strategy (clinics reported that certain meetings were too frequent, so their frequency was reduced in subsequent wedges); 2) a clinic-level strategy addition which involved connecting one study clinic seeking help with community health worker-related workflows to another that already had such a workflow in place; 3) a study-level strategy addition which involved providing assistance in overcoming previously encountered (rather than de novo) challenges. CONCLUSIONS: These methods for tracking modifications made to implementation strategies build on existing methods, frameworks, and guidelines; however, as none of these were a perfect fit, we made additions to several frameworks as indicated, and used certain frameworks' components selectively. While these methods are time-intensive, and more work is needed to streamline them, they are among the first such methods presented to implementation science. As such, they may be used in research on assessing effective strategy modifications and for replication and scale-up of effective strategies. We present these methods to guide others seeking to document implementation strategies and modifications to their studies. TRIAL REGISTRATION: clinicaltrials.gov ID: NCT03607617 (first posted 31/07/2018).

Identifying Patient Strengths Instruments and Examining Their Relevance for Chronic Disease Management: A Systematic Review.

INTRODUCTION: Most health care focuses on patients' deficits to encourage behavior change. A strengths-based approach, which relies on identifying patient strengths, has great potential to facilitate behavior change for chronic disease management. Little is known about instruments used to assess patient strengths. We conducted a systematic review to identify validated instruments that assess personal strengths by using a theory elaboration approach. METHODS: We searched 8 databases including Web of Science, Cumulative Index of Nursing and Allied Health (CINAHL), and PsycINFO (through July 2019) to identify peer reviewed, English-language studies that described strength-based instruments. Thereafter, we evaluated the validity and reliability of the instruments according to 18 Scientific Advisory Committee of the Medical Outcome Trust (SACMOT) criteria, and used an inductive, iterative editing process to identify constructs measured by the instruments. RESULTS: We identified 26 instruments that met our inclusion criteria. The instruments were validated in various clinical and nonclinical populations. Only 4 instruments met most of the SACMOT criteria for validation. We extracted 91 unique constructs that fell into 3 domains: inner strengths (49), external strengths (13), and personality constructs (29). CONCLUSION: A limited number of reliable and valid instruments are available to assess strengths for the adult population, particularly for clinical populations. Internal strengths can be leveraged to improve patient health; however, the development and validation of additional instruments to capture personal strengths is necessary to examine the multilevel influence of external strengths on individual behaviors and well-being.

Exploring Clusters of Risk and Association With Child Maltreatment in North Carolina Counties.

BACKGROUND: Decision makers face challenges in estimating local risk for child maltreatment and how best to prioritize which factors to intervene upon. METHODS: Using US Census and survey data for all US counties (N = 3141), we derived US county profiles characterized by the severity of child maltreatment risk factors observed at the county level, such as parental health, health care access, and economic distress. We estimated how five child maltreatment outcomes would vary across the profiles for North Carolina counties (n = 100): total maltreatment reports (including unsubstantiated and substantiated), substantiated neglect, substantiated abuse, whether services were received, and reported child's race/ethnicity. RESULTS: We derived three profiles of county-level child maltreatment risk: high, moderate, and low risk, denoting that predicted risk factors means within profiles were all high, moderate, or low levels compared to counties in other profiles. One risk factor did not follow this pattern: the drug overdose death rate. It was highest in the moderate-risk profile instead of the high-risk profile, as would have been consistent with other factor levels. Moderate-risk counties had the highest predicted rate of child maltreatment reports, with over 20 more reports per 10,000 residents compared to low-risk counties (95% CI, 1.38, 38.86). LIMITATIONS: We included only factors for which aggregate, county-level estimates were available, thus limiting inclusion of all relevant factors. CONCLUSIONS: Results suggest the need for increased family-based services and interventions that reduce risk factors such as economic distress and drug overdose deaths. We discuss the implications for tailoring county efforts to prevent child maltreatment.

Integrating complex systems science into road safety research and practice, Part 2: applying systems tools to the problem of increasing pedestrian death rates.

OBJECTIVES: To provide a specific example of how systems dynamics tools can increase understanding of stakeholder 'mental models' and generate robust systems-based hypotheses about the escalating problem of rising pedestrian death rates in the USA. METHODS: We designed and facilitated two group model building (GMB) workshops. Participants generated causal loop diagrams (CLDs) individually and in small groups to explore hypotheses concerning time-dynamic interacting factors underlying the increasing rates of pedestrian deaths. Using a grounded theory approach, research team members synthesised the structures and hypotheses into a single CLD. RESULTS: CLDs from the 41 participants indicated four core factors hypothesised to have a direct impact on pedestrian fatalities: pedestrian-vehicle crashes, vehicle speed at the time of the crash, vehicle size/dimensions and emergency response time. Participants diagrammed how actions and reactions impacted these proximal factors over time and led to ripple effects throughout a larger system to generate an increase in pedestrian deaths. Hypothesised contributing mechanisms fell within the following broad categories: community responses; research, policy and industry influence; potential unintended consequences of responses to pedestrian deaths; and the role of sprawl. CONCLUSIONS: This application of systems science tools suggested several strategies for advancing injury prevention research and practice. The project generated robust hypotheses and advanced stakeholder communication and depth of understanding and engagement in this key issue. The CLD and GMB process detailed in this study provides a concrete example of how systems tools can be adopted and applied to a transportation safety topic.