Where is obesity prevention on the map?: distribution and predictors of local health department prevention activities in relation to county-level obesity prevalence in the United States

Involvement of Local Health Departments in Obesity Prevention: A Scoping Review

INTRODUCTION

Local health department (LHD) obesity prevention (OP) efforts, particularly by rural LHDs, are seemingly uncommon, in part, due to limited infrastructure, workforce capacity, accessible data, and available population-level interventions aimed at social determinants of health (SDOH).

METHODS

We conducted a scoping review to determine LHD roles in OP efforts and interventions. Inclusion criteria were articles including evidence-based OP and LHD leaders or staff. Articles were coded by type of LHD involvement, data use, intervention characteristics, use of an SDOH lens, and urban or rural setting.

RESULTS

We found 154 articles on LHD OP-52 articles met inclusion criteria. Typically, LHDs engaged in only surveillance, initial intervention development, or evaluation and were not LHD led. Data and SDOH lens use were infrequent, and interventions typically took place in urban settings.

CONCLUSION

LHDs could likely play a greater role in OP and population-level interventions and use data in intervention decision making. However, literature is limited. Future research should focus on LHD capacity building, including academic-public health partnerships. Studies should include rural populations, data, and SDOH frameworks addressing "upstream" factors.

Patterns and correlates of mis-implementation in state chronic disease public health practice in the United States

BACKGROUND

Much of the disease burden in the United States is preventable through application of existing knowledge. State-level public health practitioners are in ideal positions to affect programs and policies related to chronic disease, but the extent to which mis-implementation occurring with these programs is largely unknown. Mis-implementation refers to ending effective programs and policies prematurely or continuing ineffective ones.

METHODS

A 2018 comprehensive survey assessing the extent of mis-implementation and multi-level influences on mis-implementation was reported by state health departments (SHDs). Questions were developed from previous literature. Surveys were emailed to randomly selected SHD employees across the Unites States. Spearman's correlation and multinomial logistic regression were used to assess factors in mis-implementation.

RESULTS

Half (50.7%) of respondents were chronic disease program managers or unit directors. Forty nine percent reported that programs their SHD oversees sometimes, often or always continued ineffective programs. Over 50% also reported that their SHD sometimes or often ended effective programs. The data suggest the strongest correlates and predictors of mis-implementation were at the organizational level. For example, the number of organizational layers impeded decision-making was significant for both continuing ineffective programs (OR=4.70; 95% CI=2.20, 10.04) and ending effective programs (OR=3.23; 95% CI=1.61, 7.40).

CONCLUSION

The data suggest that changing certain agency practices may help in minimizing the occurrence of mis-implementation. Further research should focus on adding context to these issues and helping agencies engage in appropriate decision-making. Greater attention to mis-implementation should lead to greater use of effective interventions and more efficient expenditure of resources, ultimately to improve health outcomes.

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 (<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.

Factors Facilitating or Hindering Use of Evidence-Based Diabetes Interventions Among Local Health Departments

OBJECTIVE

The objective of this study was to assess facilitators, barriers, and capacities to use of evidence-based programs and policies (EBPPs) in local health departments (LHDs).

DESIGN

A qualitative study design was used to elicit a contextual understanding of factors. One-hour interviews were conducted among directors and diabetes/chronic disease practitioners from LHDs. A consensus coding approach was used to identify themes.

SETTING AND PARTICIPANTS

Twenty-four participants from 14 Missouri LHDs completed interviews.

RESULTS

Themes were identified as facilitators, barriers, or capacities that enhance EBPP use. Facilitators included awareness of EBPPs, leadership and supervisor support of EBPP use, and facilitators to increase capacity to implement EBPPs. Skills development, targeted messaging, and understanding of evidence-based decision-making (EBDM) terminology were needed. Barriers to EBPPs use were described at the individual, organizational, and interorganizational levels and included community buy-in, limited resources, relevance to partners, and time scarcity. Capacities included the ways LHDs learn about EBPPs, methods that influence the use of EBPPs, and resources needed to sustain EBPPs. Top ways to learn about EBPPs were in-person interactions. Staff meetings, meetings with decision makers, and relevant evidence influenced decision making. Resources needed were funding, organizational capacity, and partnerships. Directors' and practitioners' views differed on type of agency culture that promoted EBPP use, preferences for learning about EBPPs, ways to influence decisions, needs, and barriers to EBPPs.

CONCLUSIONS

These findings can inform future strategies to support uptake of EBPPs in diabetes and chronic disease control in LHDs. LHDs have a good understanding of EBPPs, but subtle differences in perception of EBPPs and needs exist between directors and practitioners. Investment in capacity building and fostering an organizational culture supportive of EBDM were key implications for practice. By investing in employee skill development, LHDs may increase agency capacity. Researchers should use preferred channels and targeted messaging to disseminate findings.

Fighting obesity at the local level? An analysis of predictors of local health departments' policy involvement

Obesity is a critical public health issue in the United States. Local health departments (LHDs) can play a crucial role in public health policy, and are well-positioned to address obesity in their communities. We assess the obesity policy involvement among LHDs across the United States and the factors associated with increased involvement. Data come from 1803 LHDs in the 2016 National Profile of Local Health Department survey, supplemented with county-level obesity prevalence and political ideology. Negative binomial regressions examined LHD and regional characteristics associated with the number of obesity policies with which LHDs were involved. Almost half (46.1%) of LHDs reported no involvement with local obesity policies. Several factors were associated with increased policy involvement: having local boards of health with advisory (IRR = 1.31, p < 0.05) or governance roles (IRR = 1.27, p < 0.01), larger workforces (IRR = 1.34, p < 0.001), accreditation (IRR = 1.40, p < 0.001), higher obesity prevalence (IRR = 1.03, p < 0.01), and being politically more liberal (IRR = 1.01, p < 0.05). Overall, the large number of LHDs with no or limited involvement in obesity policies is a missed opportunity for local action. A better understanding of LHD policy involvement, how organizational and political factors enable or constrain their actions, and how they can leverage their current authority is needed to help LDHs serve local needs.

SIPsmartER delivered through rural, local health districts: adoption and implementation outcomes

Background

SIPsmartER is a 6-month evidenced-based, multi-component behavioral intervention that targets sugar-sweetened beverages among adults. It consists of three in-person group classes, one teach-back call, and 11 automated phone calls. Given SIPsmartER’s previously demonstrated effectiveness, understanding its adoption, implementation, and potential for integration within a system that reaches health disparate communities is important to enhance its public health impact. During this pilot dissemination and implementation trial, SIPsmartER was delivered by trained staff from local health districts (delivery agents) in rural, Appalachian Virginia. SIPsmartER’s execution was supported by consultee-centered implementation strategies.

Methods

In this mixed-methods process evaluation, adoption and implementation indicators of the program and its implementation strategy (e.g., fidelity, feasibility, appropriateness, acceptability) were measured using tracking logs, delivery agent surveys and interviews, and fidelity checklists. Quantitative data were analyzed with descriptive statistics. Qualitative data were inductively coded.

Results

Delivery agents implemented SIPsmartER to the expected number of cohorts (n = 12), recruited 89% of cohorts, and taught 86% of expected small group classes with > 90% fidelity. The planned implementation strategies were also executed with high fidelity. Delivery agents completing the two-day training, pre-lesson meetings, fidelity checklists, and post-lesson meetings at rates of 86, 75, 100, and 100%, respectively. Additionally, delivery agents completed 5% (n = 3 of 66) and 10% (n = 6 of 59) of teach-back and missed class calls, respectively. On survey items using 6-point scales, delivery agents reported, on average, higher feasibility, appropriateness, and acceptability related to delivering the group classes (range 4.3 to 5.6) than executing missed class and teach-back calls (range 2.6 to 4.6). They also, on average, found the implementation strategy activities to be helpful (range 4.9 to 6.0). Delivery agents identified strengths and weakness related to recruitment, lesson delivery, call completion, and the implementation strategy.

Conclusions

In-person classes and the consultee-centered implementation strategies were viewed as acceptable, appropriate, and feasible and were executed with high fidelity. However, implementation outcomes for teach-back and missed class calls and recruitment were not as strong. Findings will inform the future full-scale dissemination and implementation of SIPsmartER, as well as other evidence-based interventions, into rural health districts as a means to improve population health.

Electronic supplementary material

The online version of this article (10.1186/s12889-019-7567-6) contains supplementary material, which is available to authorized users.

Cross-Jurisdictional Resource Sharing in Local Health Departments: Implications for Services, Quality, and Cost

Background

Forty one percent of local health departments in the U.S. serve jurisdictions with populations of 25,000 or less. Researchers, policymakers, and advocates have long questioned how to strengthen public health systems in smaller municipalities. Cross-jurisdictional sharing may increase quality of service, access to resources, and efficiency of resource use.

Objective

To characterize perceived strengths and challenges of independent and comprehensive sharing approaches, and to assess cost, quality, and breadth of services provided by independent and sharing health departments in Connecticut (CT) and Massachusetts (MA).

Methods

We interviewed local health directors or their designees from 15 comprehensive resource-sharing jurisdictions and 54 single-municipality jurisdictions in CT and MA using a semi-structured interview. Quantitative data were drawn from closed-ended questions in the semi-structured interviews; municipal demographic data were drawn from the American Community Survey and other public sources. Qualitative data were drawn from open-ended questions in the semi-structured interviews.

Results

The findings from this multistate study highlight advantages and disadvantages of two common public health service delivery models – independent and shared. Shared service jurisdictions provided more community health programs and services, and invested significantly more ($120 per thousand (1K) population vs. $69.5/1K population) on healthy food access activities. Sharing departments had more indicators of higher quality food safety inspections (FSIs), and there was a non-linear relationship between cost per FSI and number of FSI. Minimum cost per FSI was reached above the total number of FSI conducted by all but four of the jurisdictions sampled. Independent jurisdictions perceived their governing bodies to have greater understanding of the roles and responsibilities of local public health, while shared service jurisdictions had fewer staff per 1,000 population.

Implications

There are trade-offs with sharing and remaining independent. Independent health departments serving small jurisdictions have limited resources but strong local knowledge. Multi-municipality departments have more resources but require more time and investment in governance and decision-making. When making decisions about the right service delivery model for a given municipality, careful consideration should be given to local culture and values. Some economies of scale may be achieved through resource sharing for municipalities <25,000 population.

Enhancing evidence-based diabetes and chronic disease control among local health departments: a multi-phase dissemination study with a stepped-wedge cluster randomized trial component

BACKGROUND

The rates of diabetes and prediabetes in the USA are growing, significantly impacting the quality and length of life of those diagnosed and financially burdening society. Premature death and disability can be prevented through implementation of evidence-based programs and policies (EBPPs). Local health departments (LHDs) are uniquely positioned to implement diabetes control EBPPs because of their knowledge of, and focus on, community-level needs, contexts, and resources. There is a significant gap, however, between known diabetes control EBPPs and actual diabetes control activities conducted by LHDs. The purpose of this study is to determine how best to support the use of evidence-based public health for diabetes (and related chronic diseases) control among local-level public health practitioners.

METHODS/DESIGN

This paper describes the methods for a two-phase study with a stepped-wedge cluster randomized trial that will evaluate dissemination strategies to increase the uptake of public health knowledge and EBPPs for diabetes control among LHDs. Phase 1 includes development of measures to assess practitioner views on and organizational supports for evidence-based public health, data collection using a national online survey of LHD chronic disease practitioners, and a needs assessment of factors influencing the uptake of diabetes control EBPPs among LHDs within one state in the USA. Phase 2 involves conducting a stepped-wedge cluster randomized trial to assess effectiveness of dissemination strategies with local-level practitioners at LHDs to enhance capacity and organizational support for evidence-based diabetes prevention and control. Twelve LHDs will be selected and randomly assigned to one of the three groups that cross over from usual practice to receive the intervention (dissemination) strategies at 8-month intervals; the intervention duration for groups ranges from 8 to 24 months. Intervention (dissemination) strategies may include multi-day in-person workshops, electronic information exchange methods, technical assistance through a knowledge broker, and organizational changes to support evidence-based public health approaches. Evaluation methods comprise surveys at baseline and the three crossover time points, abstraction of local-level diabetes and chronic disease control program plans and progress reports, and social network analysis to understand the relationships and contextual issues that influence EBPP adoption.

TRIAL REGISTRATION

ClinicalTrial.gov, NCT03211832.

Five Community-wide Approaches to Physical Activity Promotion: A Cluster Analysis of These Activities in Local Health Jurisdictions in 6 States

OBJECTIVE

Local health departments (LHDs) have essential roles to play in ensuring the promotion of physical activity (PA) in their communities in order to reduce obesity. Little research exists, however, regarding the existence of these PA interventions across communities and how these interventions may impact community health.

DESIGN

In this exploratory study, we used cluster analysis to identify the structure of co-occurring PA interventions, followed by regression analysis to quantify the association between the patterns of PA interventions and prevalence of PA and obesity at a population level.

SETTING

Our study setting included local health jurisdictions in Colorado, Florida, Minnesota, New Jersey, Tennessee, and Washington.

PARTICIPANTS

Participating jurisdictions were those 218 local health jurisdictions (mostly counties) from which LHD leaders had provided data in 2013 for the Multi-Network Practice and Outcome Variation Examination Study.

MAIN OUTCOME MEASURES

We obtained unique public health activities data on PA interventions conducted in 2012 from 218 LHDs in 6 participating states. We categorized jurisdictions using cluster analysis, based on PA intervention approaches indicated by LHD leaders as available in their communities and then examined associations between categories and prevalence of obesity and of residents engaged in PA.

RESULTS

We identified 5 distinct PA intervention categories representing community-wide approaches-Comprehensive Approach, Built Environment, Personal Health, School-Based Interventions, and No Apparent Activities. Prevalence rates of obesity and PA among jurisdictions in the intervention clusters were significantly different from jurisdictions with No Apparent Activities, with more population-level approaches most significantly related to beneficial outcomes.

CONCLUSION

Our findings suggest the importance of standardized public health services data for generating evidence regarding health-related outcomes. The intervention categories we identified appear to reflect broad, local community-wide prevention approaches and demonstrated that population-level PA interventions can be testable and may have particularly beneficial relationships to community health. Widespread adoption of such standardized data depicting local public health prevention activity could support monitoring practice change, performance improvement, comparisons across communities that could reduce unnecessary variation, and the generation of evidence for public health practice and policy-making.

The diffusion of evidence-based decision making among local health department practitioners in the United States

OBJECTIVES

Evidence-based decision making (EBDM) is the process, in local health departments (LHDs) and other settings, of translating the best available scientific evidence into practice. Local health departments are more likely to be successful if they use evidence-based strategies. However, EBDM and use of evidence-based strategies by LHDs are not widespread. Drawing on diffusion of innovations theory, we sought to understand how LHD directors and program managers perceive the relative advantage, compatibility, simplicity, and testability of EBDM.

DESIGN, SETTING, AND PARTICIPANTS

Directors and managers of programs in chronic disease, environmental health, and infectious disease from LHDs nationwide completed a survey including demographic information and questions about diffusion attributes (advantage, compatibility, simplicity, and testability) related to EBDM. Bivariate inferential tests were used to compare responses between directors and managers and to examine associations between participant characteristics and diffusion attributes.

RESULTS

Relative advantage and compatibility scores were high for directors and managers, whereas simplicity and testability scores were lower. Although health department directors and managers of programs in chronic disease generally had higher scores than other groups, there were few significant or large differences between directors and managers across the diffusion attributes. Larger jurisdiction population size was associated with higher relative advantage and compatibility scores for both directors and managers.

CONCLUSIONS

Overall, directors and managers were in strong agreement on the relative advantage of an LHD using EBDM, with directors in stronger agreement than managers. Perceived relative advantage has been demonstrated to be the most important factor in the rate of innovation adoption, suggesting an opportunity for directors to speed EBDM adoption. However, lower average scores across all groups for simplicity and testability may be hindering EBDM adoption. Recommended strategies for increasing perceived EBDM simplicity and testability are provided.

Cost-effectiveness of Community-Based Minigrants to Increase Physical Activity in Youth

CONTEXT

American youth are insufficiently active, and minigrant programs have been developed to facilitate implementation of evidence-based interventions in communities. However, little is known about the cost-effectiveness of targeted minigrant programs for the implementation of physical activity (PA) promoting strategies for youth.

OBJECTIVE

To determine the cost-effectiveness of a minigrant program to increase PA among youth.

DESIGN

Twenty community grantees were pair-matched and randomized to receive funding at the beginning of year 1 (2010-2011) or year 2 (2011-2012) to implement interventions to increase PA in youth. Costs were calculated by examining financial reports provided by the granting organization and grantees.

SETTING

Twenty counties in North Carolina.

PARTICIPANTS

A random sample of approximately 800 fourth- to eighth-grade youth (per year) from the approximately 6100 youth served by the 20 community-based interventions.

MAIN OUTCOME MEASURE

Cost-effectiveness ratios (CERs) were calculated at the county and project levels to determine the cost per child-minute of moderate-to-vigorous PA (MVPA) increased by wave. Analyses were conducted utilizing cost data from 20 community grantees and accelerometer-derived PA from the participating youth.

RESULTS

Of the 20 participating counties, 18 counties displayed increased youth MVPA between at least 2 waves of observation. Of those 18 counties, the CER (US dollars/MVPA minutes per day) ranged from $0.02 to $1.86 (n = 13) in intervention year 1, $0.02 to $6.19 (n = 15) in intervention year 2, and $0.02 to $0.58 (n = 17) across both years.

CONCLUSION

If utilized to implement effectual behavior change strategies, minigrants can be a cost-effective means of increasing children's MVPA, with a low monetary cost per minute of MVPA.

A Closer Look at Rural-Urban Health Disparities: Associations Between Obesity and Rurality Vary by Geospatial and Sociodemographic Factors

BACKGROUND

Obesity affects over one-third of older adults in the United States. Both aging and obesity contribute to an increased risk for chronic disease, early mortality, and additional health care utilization. Obesity rates are higher in rural areas than in urban areas, although findings are mixed. The objectives of this study are to assess potential nonlinearity in the association between rurality and obesity, and to evaluate the potential for socioeconomic status and geographic area to moderate the associations between rurality and obesity.

METHODS

Using a representative sample of adults aged 65 and above from the Behavioral Risk Factor Surveillance System, obesity (BMI ≥ 30 kg/m² ) was modeled against the primary exposure of rural-urban status, as measured by the Index of Relative Rurality. Binary logistic regression models were used to estimate the odds of obesity by rurality both as a continuous variable and by decile of rurality. Models were then stratified by per-capita income and state to assess potential moderation by these factors.

RESULTS

The prevalence of obesity in older adults was highest in intermediate rurality areas (OR in rurality decile #5 1.134, 95% CI: 1.086-1.184) and lowest in the most rural and most urban areas. Obesity was highest in low- and middle-income areas, regardless of rural-urban status. In high-income areas, obesity among older adults was highest in areas of intermediate rurality and lowest in the most rural areas (OR 0.726, 95% CI: 0.606-0.870) and more urban areas, showing a J-shaped association. There were substantial differences in the associations between rurality and obesity in older adults among states.

CONCLUSION

Associations between rurality and obesity varied by degree of rurality, socioeconomic status, and geography. Therefore, traditional "one-size-fits-all" approaches to reducing rural-urban health disparities in older adults may be more effective if tailored to the area-specific rural-urban gradients in health.

The Double Disparity Facing Rural Local Health Departments

Residents of rural jurisdictions face significant health challenges, including some of the highest rates of risky health behaviors and worst health outcomes of any group in the country. Rural communities are served by smaller local health departments (LHDs) that are more understaffed and underfunded than their suburban and urban peers. As a result of history and current need, rural LHDs are more likely than their urban peers to be providers of direct health services, leading to relatively lower levels of population-focused activities. This review examines the double disparity faced by rural LHDs and their constituents: pervasively poorer health behaviors and outcomes and a historical lack of investment by local, state, and federal public health entities.

Building new computational models to support health behavior change and maintenance: new opportunities in behavioral research

Adverse and suboptimal health behaviors and habits are responsible for approximately 40 % of preventable deaths, in addition to their unfavorable effects on quality of life and economics. Our current understanding of human behavior is largely based on static "snapshots" of human behavior, rather than ongoing, dynamic feedback loops of behavior in response to ever-changing biological, social, personal, and environmental states. This paper first discusses how new technologies (i.e., mobile sensors, smartphones, ubiquitous computing, and cloud-enabled processing/computing) and emerging systems modeling techniques enable the development of new, dynamic, and empirical models of human behavior that could facilitate just-in-time adaptive, scalable interventions. The paper then describes concrete steps to the creation of robust dynamic mathematical models of behavior including: (1) establishing "gold standard" measures, (2) the creation of a behavioral ontology for shared language and understanding tools that both enable dynamic theorizing across disciplines, (3) the development of data sharing resources, and (4) facilitating improved sharing of mathematical models and tools to support rapid aggregation of the models. We conclude with the discussion of what might be incorporated into a "knowledge commons," which could help to bring together these disparate activities into a unified system and structure for organizing knowledge about behavior.

The Relationship of Policymaking and Networking Characteristics among Leaders of Large Urban Health Departments

BACKGROUND

The relationship between policy networks and policy development among local health departments (LHDs) is a growing area of interest to public health practitioners and researchers alike. In this study, we examine policy activity and ties between public health leadership across large urban health departments.

METHODS

This study uses data from a national profile of local health departments as well as responses from a survey sent to three staff members (local health official, chief of policy, chief science officer) in each of 16 urban health departments in the United States. Network questions related to frequency of contact with health department personnel in other cities. Using exponential random graph models, network density and centrality were examined, as were patterns of communication among those working on several policy areas using exponential random graph models.

RESULTS

All 16 LHDs were active in communicating about chronic disease as well as about use of alcohol, tobacco, and other drugs (ATOD). Connectedness was highest among local health officials (density = .55), and slightly lower for chief science officers (d = .33) and chiefs of policy (d = .29). After accounting for organizational characteristics, policy homophily (i.e., when two network members match on a single characteristic) and tenure were the most significant predictors of formation of network ties.

CONCLUSION

Networking across health departments has the potential for accelerating the adoption of public health policies. This study suggests similar policy interests and formation of connections among senior leadership can potentially drive greater connectedness among other staff.

Lessons learned from a collaborative field-based collection of physical activity data using accelerometers

CONTEXT

Recent improvements in the accuracy and availability of accelerometers present an opportunity to increase the validity of physical activity assessment. While use of these devices is now pervasive among researchers, accelerometers have not been widely used by community-based public health practitioners.

OBJECTIVE

To present a case example of field-based data collection using accelerometers with youth.

METHOD

A collaborative research team, including state- and county-level public health practitioners and university researchers, collected accelerometer data from 1313 youth, aged 9 to 14 years, in 20 North Carolina counties.

RESULTS

This case example highlights some considerations for how to improve communication and streamline data collection logistics within a multidisciplinary research team. It demonstrates that a collaborative model can make objective physical activity evaluation feasible in community settings with limited resources.

CONCLUSIONS

Lessons learned by our research team about coordinating the logistics of accelerometer use and scheduling a large-scale data collection in multiple sites can be adapted by other researchers and community-based practitioners who aim to evaluate physical activity using accelerometers or other mobile data collection devices.

Measuring public health practice and outcomes in chronic disease: a call for coordination

A strategic opportunity exists to coordinate public health systems and services researchers' efforts to develop local health department service delivery measures and the efforts of divisions within the Centers for Disease Control and Prevention's National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) to establish outcome indicators for public health practice in chronic disease. Several sets of outcome indicators developed by divisions within NCCDPHP and intended for use by state programs can be tailored to assess outcomes of interventions within smaller geographic areas or intervention settings. Coordination of measurement efforts could potentially allow information to flow from the local to the state to the federal level, enhancing program planning, accountability, and even subsequent funding for public health practice.

What gets measured gets done: an assessment of local data uses and needs in large urban health departments

CONTEXT

The epidemiologic shift in the leading causes of mortality from infectious disease to chronic disease has created significant challenges for public health surveillance at the local level.

OBJECTIVE

We describe how the largest US city health departments identify and use data to inform their work and we identify the data and information that local public health leaders have specified as being necessary to help better address specific problems in their communities.

DESIGN

We used a mixed-methods design that included key informant interviews, as well as a smaller embedded survey to quantify organizational characteristics related to data capacity. Interview data were independently coded and analyzed for major themes around data needs, barriers, and achievements.

PARTICIPANTS

Forty-five public health leaders from each of 3 specific positions-local health official, chief of policy, and chief science or medical officer-in 16 large urban health departments.

RESULTS

Public health leaders in large urban local health departments reported that timely data and data on chronic disease that are available at smaller geographical units are difficult to obtain without additional resources. Despite departments' successes in creating ad hoc sources of local data to effect policy change, all participants described the need for more timely data that could be geocoded at a neighborhood or census tract level to more effectively target their resources. Electronic health records, claims data, and hospital discharge data were identified as sources of data that could be used to augment the data currently available to local public health leaders.

CONCLUSIONS

Monitoring the status of community health indicators and using the information to identify priority issues are core functions of all public health departments. Public health professionals must have access to timely "hyperlocal" data to detect trends, allocate resources to areas of greatest priority, and measure the effectiveness of interventions. Although innovations in the largest local health departments in large urban areas have established some methods to obtain local data on chronic disease, leaders recognize that there is an urgent need for more timely and more geographically specific data at the neighborhood or census tract level to efficiently and effectively address the most pressing problems in public health.

Neighborhood disparities in prevalence of childhood obesity among low-income children before and after implementation of New York City child care regulations

INTRODUCTION

New York City Article 47 regulations, implemented in 2007, require licensed child care centers to improve the nutrition, physical activity, and television-viewing behaviors of enrolled children. To supplement an evaluation of the Article 47 regulations, we conducted an exploratory ecologic study to examine changes in childhood obesity prevalence among low-income preschool children enrolled in the Nutrition Program for Women, Infants, and Children (WIC) in New York City neighborhoods with or without a district public health office. We conducted the study 3 years before (from 2004 through 2006) and after (from 2008 through 2010) the implementation of the regulations in 2007.

METHODS

We used an ecologic, time-trend analysis to compare 3-year cumulative obesity prevalence among WIC-enrolled preschool children during 2004 to 2006 and 2008 to 2010. Outcome data were obtained from the New York State component of the Centers for Disease Control and Prevention's Pediatric Nutrition Surveillance System.

RESULTS

Early childhood obesity prevalence declined in all study neighborhoods from 2004-2006 to 2008-2010. The greatest decline occurred in Manhattan high-risk neighborhoods where obesity prevalence decreased from 18.6% in 2004-2006 to 15.3% in 2008-2010. The results showed a narrowing of the gap in obesity prevalence between high-risk and low-risk neighborhoods in Manhattan and the Bronx, but not in Brooklyn.

CONCLUSION

The reductions in early childhood obesity prevalence in some high-risk and low-risk neighborhoods in New York City suggest that progress was made in reducing health disparities during the years just before and after implementation of the 2007 regulations. Future research should consider the built environment and markers of differential exposure to known interventions and policies related to childhood obesity prevention.

Geographic variability in the association between socioeconomic status and BMI in the USA and Canada

OBJECTIVE

Reported associations between socioeconomic status (SES) and obesity are inconsistent depending on gender and geographic location. Globally, these inconsistent observations may hide a variation in the contextual effect on individuals' risk of obesity for subgroups of the population. This study explored the regional variability in the association between SES and BMI in the USA and in Canada, and describes the geographical variance patterns by SES category.

METHODS

The 2009-2010 samples of the Behavioral Risk Factor Surveillance System (BRFSS) and the Canadian Community Health Survey (CCHS) were used for this comparison study. Three-level random intercept and differential variance multilevel models were built separately for women and men to assess region-specific BMI by SES category and their variance bounds.

RESULTS

Associations between individual SES and BMI differed importantly by gender and countries. At the regional-level, the mean BMI variation was significantly different between SES categories in the USA, but not in Canada. In the USA, whereas the county-specific mean BMI of higher SES individuals remained close to the mean, its variation grown as SES decreased. At the county level, variation of mean BMI around the regional mean was 5 kg/m2 in the high SES group, and reached 8.8 kg/m2 in the low SES group.

CONCLUSIONS

This study underlines how BMI varies by country, region, gender and SES. Lower socioeconomic groups within some regions show a much higher variation in BMI than in other regions. Above the BMI regional mean, important variation patterns of BMI by SES and place of residence were found in the USA. No such pattern was found in Canada. This study suggests that a change in the mean does not necessarily reflect the change in the variance. Analyzing the variance by SES may be a good way to detect subtle influences of social forces underlying social inequalities.

Community-level determinants of obesity: harnessing the power of electronic health records for retrospective data analysis

BACKGROUND

Obesity and overweight are multifactorial diseases that affect two thirds of Americans, lead to numerous health conditions and deeply strain our healthcare system. With the increasing prevalence and dangers associated with higher body weight, there is great impetus to focus on public health strategies to prevent or curb the disease. Electronic health records (EHRs) are a powerful source for retrospective health data, but they lack important community-level information known to be associated with obesity. We explored linking EHR and community data to study factors associated with overweight and obesity in a systematic and rigorous way.

METHODS

We augmented EHR-derived data on 62,701 patients with zip code-level socioeconomic and obesogenic data. Using a multinomial logistic regression model, we estimated odds ratios and 95% confidence intervals (OR, 95% CI) for community-level factors associated with overweight and obese body mass index (BMI), accounting for the clustering of patients within zip codes.

RESULTS

33, 31 and 35 percent of individuals had BMIs corresponding to normal, overweight and obese, respectively. Models adjusted for age, race and gender showed more farmers' markets/1,000 people (0.19, 0.10-0.36), more grocery stores/1,000 people (0.58, 0.36-0.93) and a 10% increase in percentage of college graduates (0.80, 0.77-0.84) were associated with lower odds of obesity. The same factors yielded odds ratios of smaller magnitudes for overweight. Our results also indicate that larger grocery stores may be inversely associated with obesity.

CONCLUSIONS

Integrating community data into the EHR maximizes the potential of secondary use of EHR data to study and impact obesity prevention and other significant public health issues.

State practitioner insights into local public health challenges and opportunities in obesity prevention: a qualitative study

INTRODUCTION

The extent of obesity prevention activities conducted by local health departments (LHDs) varies widely. The purpose of this qualitative study was to characterize how state obesity prevention program directors perceived the role of LHDs in obesity prevention and factors that impact LHDs' success in obesity prevention.

METHODS

From June 2011 through August 2011, we conducted 28 semistructured interviews with directors of federally funded obesity prevention programs at 22 state and regional health departments. Interviews were transcribed verbatim, coded, and analyzed to identify recurring themes and key quotations.

RESULTS

Main themes focused on the roles of LHDs in local policy and environmental change and on the barriers and facilitators to LHD success. The role LHDs play in obesity prevention varied across states but generally reflected governance structure (decentralized vs centralized). Barriers to local prevention efforts included competing priorities, lack of local capacity, siloed public health structures, and a lack of local engagement in policy and environmental change. Structures and processes that facilitated prevention were having state support (eg, resources, technical assistance), dedicated staff, strong communication networks, and a robust community health assessment and planning process.

CONCLUSIONS

These findings provide insight into successful strategies state and local practitioners are using to implement innovative (and evidence-informed) community-based interventions. The change in the nature of obesity prevention requires a rethinking of the state-local relationship, especially in centralized states.

Patient perception of ideal body weight and the effect of body mass index

OBJECTIVE

Despite much effort, obesity remains a significant public health problem. One of the main contributing factors is patients' perception of their target ideal body weight. This study aimed to assess this perception.

METHODS

The study took place in an urban area, with the majority of participants in the study being Hispanic (65.7%) or African-American (28.0%). Patients presented to an outpatient clinic were surveyed regarding their ideal body weight and their ideal BMI calculated. Subsequently they were classified into different categories based on their actual measured BMI. Their responses for ideal BMI were compared.

RESULTS

In 254 surveys, mean measured BMI was 31.71 ± 8.01. Responses to ideal BMI had a range of 18.89-38.15 with a mean of 25.96 ± 3.25. Mean (±SD) ideal BMI for patients with a measured BMI of <18.5, 18.5-24.9, 25-29.9, and ≥30 was 20.14 ± 1.46, 23.11 ± 1.68, 25.69 ± 2.19, and 27.22 ± 3.31, respectively. These differences were highly significant (P < 0.001, ANOVA).

CONCLUSIONS

Most patients had an inflated sense of their target ideal body weight. Patients with higher measured BMI had higher target numbers for their ideal BMI. Better education of patients is critical for obesity prevention programs.

Local health department assurance of services and the health of California's seniors

OBJECTIVE

To examine the extent to which local health department (LHD) assurance of select services known to promote and protect the health of older adults is associated with more favorable population health indicators among seniors.

DESIGN

Data from the California Health Interview Survey (CHIS: 2003, 2005, and 2007) were linked with the 2005 wave of the National Association of County and City Health Officials profile survey and the Area Resource File to assess the association of LHD assurance and senior health indicators. Assurance was measured by an index of 5 services, either directly provided or contracted by LHDs: cancer screening, injury prevention, comprehensive primary care, home health care, and chronic disease prevention. Multilevel regression models estimated the association of LHD assurance of services and each of 6 older adult health indicators, controlling for individual, LHD, and county characteristics that included key social determinants of health, such as poverty.

SETTING

Fifty-seven California counties.

PARTICIPANTS

33,154 older adults (age 65 and older).

MAIN OUTCOME MEASURES

Colorectal cancer screening, mammography, healthy eating, physical activity, and multiple falls among older adults.

RESULTS

Local health departments provided or contracted a median of 2 of the 5 services. In adjusted analyses, LHD assurance of services was generally unassociated with the seniors' health behaviors, screening, and falls. Greater LHD expenditures per capita were associated with significantly better mammography screening rates (adjusted odds ratio [AOR] = 1.22, P < 0.01) compared to jurisdictions in the bottom one-third of per capita LHD spending. Greater county-level poverty (a social determinant of health) was associated with greater junk food consumption (AOR = 1.14, P < 0.01) and worse fruit and vegetable consumption (AOR = 0.97, P < 0.01). Highly impoverished counties were consistently in the bottom quartile of performance across all indicators.

CONCLUSIONS

The LHD's assurance of select services known to promote and protect the health of older adults does not appear to translate into higher rates of colorectal cancer screening, mammography, healthy eating, physical activity, and fewer falls among seniors. County-level poverty is most strongly associated with older adult health, underscoring a key barrier to address in local senior health improvement efforts.