Inclusion of evidence-based healthy eating policies in Community Health Improvement Plans: Findings from a national probability survey of US local health departments

Introduction: Evidence-based healthy eating (HE) policies can increase opportunities to engage in a healthy diet. The adoption of evidence-based policies into practice is limited and no study reports the status of HE policies nationally. Community Health Improvement Plans (CHIPs) strategically address health priorities, steer evidence-based strategy selection and implementation, and require collaboration. Local health departments (LHDs) are often key stakeholders. We aimed to determine the proportion of LHDs with a CHIP having evidence-based HE policies. Methods:A national probability survey of US LHDs serving populations of Results: 44.1% (95%CI: 34.7-54.0%) of US LHDs with a CHIP reported at least one evidence-based HE policy. The proportion of specific HE policies ranged from 28.9% for school district nutrition/procurement/vending policies to 1.3% for sugar-sweetened beverage tax. Conclusions: Increased implementation of evidence-based HE policy approaches are needed within communities

Healthy Eating and Physical Activity Policy, Systems, and Environmental Strategies: A Content Analysis of Community Health Improvement Plans

Background: Policy, systems, and environmental (PSE) approaches can sustainably improve healthy eating (HE) and physical activity (PA) but are challenging to implement. Community health improvement plans (CHIPs) represent a strategic opportunity to advance PSEs but have not been adequately researched. The objective of this study was to describe types of HE and PA strategies included in CHIPs and assess strategies designed to facilitate successful PSE-change using an established framework that identifies six key activities to catalyze change. Methods: A content analysis was conducted of 75 CHIP documents containing HE and/or PA PSE strategies, which represented communities that were identified from responses to a national probability sample of US local health departments ( \u3c 500,000 residents). Each HE/PA PSE strategy was assessed for alignment with six key activities that facilitate PSE-change (identifying and framing the problem, engaging and educating key people, identifying PSE solutions, utilizing available evidence, assessing social and political environment, and building support and political will). Multilevel latent class analyses were conducted to identify classes of CHIPs based on HE/PA PSE strategy alignment with key activities. Analyses were conducted separately for CHIPs containing HE and PA PSE strategies. Results: Two classes of CHIPs with PSE strategies emerged from the HE (n = 40 CHIPs) and PA (n = 43 CHIPs) multilevel latent class analyses. More CHIPs were grouped in Class A (HE: 75%; PA: 79%), which were characterized by PSE strategies that simply identified a PSE solution. Fewer CHIPs were grouped in Class B (HE: 25%; PA: 21%), and these mostly included PSE strategies that comprehensively addressed multiple key activities for PSE-change. Conclusions: Few CHIPs containing PSE strategies addressed multiple key activities for PSE-change. Efforts to enhance collaborations with important decision-makers and community capacity to engage in a range of key activities are warranted

Exploring the Contributions of Local Health Departments in Land Use and Transportation Policy: Implications for Cross-sector Collaboration

Introduction: Transportation and land use policies can impact physical activity. Local health departments (LHDs) are encouraged to participate in land use and transportation policy processes, which are outside their traditional expertise. Cross-sector collaborations are needed, yet stakeholders’ perceptions of LHD involvement are not well-understood. This paper explores (1) the perceived value of LHD participation in transportation and land use decision-making and (2) potential contributions of LHDs to these processes among relevant stakeholders. Methods: Qualitative data were analysed from 49 semi-structured interviews conducted in 2015 and 2016. Participants were professionals representing land use planning (n=13), transportation/public works (n=11), public health (n=19), bike and pedestrian advocacy (n=4), and municipal administration (n=2). Two analysts conducted thematic analysis. Results: All respondents reported that LHDs offer valuable contributions to transportation and land use policy processes. Seven specific contributions were identified (inter-rater agreement 91%). Participants described LHD knowledge of the built environment impact on health (n=44); ability to incorporate the public health evidence-base and best practices into built environment processes (n=23); and ability to articulate the impact of land use and transportation decisions on vulnerable populations (n=8). Other potential contributions included increasing public support through public education (n=27) and convening partnerships within the community and across municipal departments (n=35) to advance policy buy-in and enactment. Ability to analyse a range of data that could inform policy (n=41) and providing resource support (e.g., grant writing, offering technical assistance (n=20)) were also described. Conclusions: LHDs can leverage their strengths to foster cross-sector collaborations that promote community physical activity opportunities. The results of these interviews are being used to inform the development of sustainable capacity building models for LHD involvement in built environment decision-making

Healthy Eating Policy Strategies in Community Health Improvement Plans: A Cross-Sectional Survey of US Local Health Departments

CONTEXT: Policies (eg, regulations, taxes, and zoning ordinances) can increase opportunities for healthy eating. Community Health Improvement Plans (CHIP) may foster collaboration and local health department (LHD) engagement in policy decision making to improve local food environments. Limited research describes what policies supportive of healthy food environments are included in CHIPs nationally and relationships between LHD characteristics and participation in plans including such policies. OBJECTIVES: To determine the proportion of US LHDs who participated in development of a CHIP containing healthy eating policy strategies and assess the association between LHD characteristics and inclusion of any healthy eating policy strategy in a CHIP. DESIGN: A cross-sectional national probability survey. PARTICIPANTS: Of the 209 US LHDs (serving populations \u3c 500 000) (response rate: 30.2%), 176 LHDs with complete data on CHIP status, outcomes, and covariates were eligible for analysis. MAIN OUTCOME MEASURES: Thirteen healthy eating policy strategies were organized into 3 categories: increasing availability/identification of healthy foods, reducing access to unhealthy foods, and improving school food environments. Strategies and categories were identified from literature and public health recommendations. RESULTS: In total, 32.2% of LHDs reported inclusion of 1 or more healthy eating policy strategies in a CHIP. The proportion of departments reporting specific strategies ranged from 20.8% for school district policies to 1.1% for sugar-sweetened beverage taxes. Local health departments serving 25 000 to 49 999 residents (odds ratio [OR]: 5.00; 95% confidence interval [CI]: 1.71-14.63), 100 000 to 499 999 residents (OR: 3.66; 95% CI: 1.12-11.95), pursuing national accreditation (OR: 4.46; 95% CI: 1.83-10.83), or accredited (OR: 3.22; 95% CI: 1.08-9.63) were more likely to include 1 or more healthy eating policy strategies in a CHIP than smaller LHDs ( \u3c 25 000) and LHDs not seeking accreditation, respectively, after adjusting for covariates. CONCLUSIONS: Few LHDs serving less than 500 000 residents reported CHIPs that included a policy-based approach to improve food environments, indicating room for improvement. Population size served and accreditation may affect LHD policy engagement to enhance local food environments

A REDCap-based model for electronic consent (eConsent): Moving toward a more personalized consent

Introduction: The updated common rule, for human subjects research, requires that consents begin with a \u27concise and focused\u27 presentation of the key information that will most likely help someone make a decision about whether to participate in a study (Menikoff, Kaneshiro, Pritchard. The New England Journal of Medicine. 2017; 376(7): 613-615.). We utilized a community-engaged technology development approach to inform feature options within the REDCap software platform centered around collection and storage of electronic consent (eConsent) to address issues of transparency, clinical trial efficiency, and regulatory compliance for informed consent (Harris, et al. Journal of Biomedical Informatics 2009; 42(2): 377-381.). eConsent may also improve recruitment and retention in clinical research studies by addressing: (1) barriers for accessing rural populations by facilitating remote consent and (2) cultural and literacy barriers by including optional explanatory material (e.g., defining terms by hovering over them with the cursor) or the choice of displaying different videos/images based on participant\u27s race, ethnicity, or educational level (Phillippi, et al. Journal of Obstetric, Gynecologic, and Neonatal Nursing. 2018; 47(4): 529-534.). Methods: We developed and pilot tested our eConsent framework to provide a personalized consent experience whereby users are guided through a consent document that utilizes avatars, contextual glossary information supplements, and videos, to facilitate communication of information. Results: The eConsent framework includes a portfolio of eight features, reviewed by community stakeholders, and tested at two academic medical centers. Conclusions: Early adoption and utilization of this eConsent framework have demonstrated acceptability. Next steps will emphasize testing efficacy of features to improve participant engagement with the consent process

Qualitative Exploration of Cross-Sector Perspectives on the Contributions of Local Health Departments in Land-Use and Transportation Policy

INTRODUCTION: Transportation and land-use policies can affect the physical activity of populations. Local health departments (LHDs) are encouraged to participate in built-environment policy processes, which are outside their traditional expertise. Cross-sector collaborations are needed, yet stakeholders\u27 perceptions of LHD involvement are not well understood. The objective of this study was to describe the perceived value of LHD participation in transportation and land-use decision making and potential contributions to these processes among stakeholders. METHODS: We analyzed qualitative data from 49 semistructured interviews in 2015. Participants were professionals in 13 US states and 4 disciplines: land-use planning (n = 13), transportation/public works (n = 11), public health (n = 19), and other (municipal administration and bike and pedestrian advocacy [n = 6]). Two analysts conducted directed content analysis. RESULTS: All respondents reported that LHDs offer valuable contributions to transportation and land-use policy processes. They identified 7 contributions (interrater agreement 91%): 1) physical activity and health perspective (n = 44), 2) data analysis and assessment (n = 41), 3) partnerships in the community and across sectors (n = 35), 4) public education (n = 27), 5) knowledge of the public health evidence base and best practices (n = 23), 6) resource support (eg, grant writing, technical assistance) (n = 20), and 7) health equity (n = 8). CONCLUSION: LHDs can leverage their strengths to foster cross-sector collaborations that promote physical activity opportunities in communities. Our results will inform development of sustainable capacity-building models for LHD involvement in built-environment decision making

Developing Core Capabilities for Local Health Departments to Engage in Land Use and Transportation Decision Making for Active Transportation

OBJECTIVE: To develop a core set of capabilities and tasks for local health departments (LHDs) to engage in land use and transportation policy processes that promote active transportation. DESIGN: We conducted a 3-phase modified Delphi study from 2015 to 2017. SETTING: We recruited a multidisciplinary national expert panel for key informant interviews by telephone and completion of a 2-step online validation process. PARTICIPANTS: The panel consisted of 58 individuals with expertise in local transportation and policy processes, as well as experience in cross-sector collaboration with public health. Participants represented the disciplines of land use planning, transportation/public works, public health, municipal administration, and active transportation advocacy at the state and local levels. MAIN OUTCOME MEASURES: Key informant interviews elicited initial capabilities and tasks. An online survey solicited rankings of impact and feasibility for capabilities and ratings of importance for associated tasks. Feasibility rankings were used to categorize capabilities according to required resources. Results were presented via second online survey for final input. RESULTS: Ten capabilities were categorized according to required resources. Fewest resources were as follows: (1) collaborate with public officials; (2) serve on land use or transportation board; and (3) review plans, policies, and projects. Moderate resources were as follows: (4) outreach to the community; (5) educate policy makers; (6) participate in plan and policy development; and (7) participate in project development and design review. Most resources were as follows: (8) participate in data and assessment activities; (9) fund dedicated staffing; and (10) provide funding support. CONCLUSIONS: These actionable capabilities can guide planning efforts for LHDs of all resource levels

Physical Activity-Related Policy and Environmental Strategies to Prevent Obesity in Rural Communities: A Systematic Review of the Literature, 2002-2013

Citation: Meyer, M. R. U., Perry, C. K., Sumrall, J. C., Patterson, M. S., Walsh, S. M., Clendennen, S. C., . . . Valko, C. (2016). Physical Activity-Related Policy and Environmental Strategies to Prevent Obesity in Rural Communities: A Systematic Review of the Literature, 2002-2013. Preventing Chronic Disease, 13, 24. doi:10.5888/pcd13.150406Additional Authors: Valko, C.Introduction Health disparities exist between rural and urban residents; in particular, rural residents have higher rates of chronic diseases and obesity. Evidence supports the effectiveness of policy and environmental strategies to prevent obesity and promote health equity. In 2009, the Centers for Disease Control and Prevention recommended 24 policy and environmental strategies for use by local communities: the Common Community Measures for Obesity Prevention (COCOMO); 12 strategies focus on physical activity. This review was conducted to synthesize evidence on the implementation, relevance, and effectiveness of physical activity-related policy and environmental strategies for obesity prevention in rural communities. Methods A literature search was conducted in PubMed, PsycINFO, Web of Science, CINHAL, and PAIS databases for articles published from 2002 through May 2013 that reported findings from physical activity-related policy or environmental interventions conducted in the United States or Canada. Each article was extracted independently by 2 researchers. Results Of 2,002 articles, 30 articles representing 26 distinct studies met inclusion criteria. Schools were the most common setting (n = 18 studies). COCOMO strategies were applied in rural communities in 22 studies; the 2 most common COCOMO strategies were "enhance infrastructure supporting walking" (n = 11) and " increase opportunities for extracurricular physical activity" (n = 9). Most studies (n = 21) applied at least one of 8 non-COCOMO strategies; the most common was increasing physical activity opportunities at school outside of physical education (n = 8). Only 14 studies measured or reported physical activity outcomes (10 studies solely used self-report); 10 reported positive changes. Conclusion Seven of the 12 COCOMO physical activity-related strategies were successfully implemented in 2 or more studies, suggesting that these 7 strategies are relevant in rural communities and the other 5 might be less applicable in rural communities. Further research using robust study designs and measurement is needed to better ascertain implementation success and effectiveness of COCOMO and non-COCOMO strategies in rural communities

Use of cognitive interviewing to adapt measurement instruments for low-literate Hispanics

PURPOSE: Cognitive interviewing techniques were used to adapt existing measures for use with a population of low-literate Spanish-speaking people with diabetes. METHODS: Five individuals of Caribbean origin with diabetes participated in cognitive interviews for 4 instruments (measuring diabetes knowledge, quality of life, self-management, and depression) adapted for oral administration to low-literate individuals. Audiotaped interviews and handwritten notes were subjected to content analysis to identify problems across the 4 instruments as well as specific to a given instrument. RESULTS: The following key problems were identified: general instructions were not helpful, items that were not specific enough generated a variety of interpretations, some wording was confusing, abstract concepts were difficult to understand, some terminology was unfamiliar, and interpretation of certain words was incorrect. CONCLUSIONS: The data illustrate the usefulness of cognitive interviewing as a first step in the process of adapting measurement instruments

Predictors of smoking cessation in pregnancy and maintenance postpartum in low-income women

OBJECTIVE: To describe factors associated with smoking status of low-income women during pregnancy and postpartum. METHODS: Data from a randomized clinical trial were used to conduct separate analyses on 327 women who smoked at baseline (time at enrollment) and for whom smoking status was available at delivery, and on 109 women who reported not smoking at delivery (quit spontaneously or after study enrollment) and for whom smoking status was available at 6-months postpartum. Salivary cotinine was used to assess the accuracy of self-reported smoking status for the sample as a whole. Data were collected between May 1997 and November 2000. RESULTS: 18% of the 327 baseline smokers stopped smoking before delivery. Cessation was less likely in older women, those reporting Medicaid coverage (vs. commercial or no insurance), who were at a later week of pregnancy at baseline, were more addicted, had a husband/partner who smoked, and did not receive the study intervention. 37% of the 109 women who reported not smoking at delivery maintained abstinence at 6-months postpartum. Factors associated with abstinence were later week of pregnancy at baseline and quitting spontaneously with pregnancy, while women who lived with a smoker were less likely to report abstinence. Spontaneous quitters were less likely to relapse by 6 months postpartum than women who quit smoking later in pregnancy. CONCLUSIONS: Partner participation in smoking cessation programs for pregnant and postpartum women merits exploration. Lower relapse rates among spontaneous quitters indicate a need to foster an environment that encourages quitting at pregnancy