Validation of Multi-State EHR-Based Network for Disease Surveillance (MENDS) Data and Implications for Improving Data Quality and Representativeness.

Introduction: Surveillance modernization efforts emphasize the potential use of electronic health record (EHR) data to inform public health surveillance and prevention. However, EHR data streams vary widely in their completeness, accuracy, and representativeness. Methods: We developed a validation process for the Multi-State EHR-Based Network for Disease Surveillance (MENDS) pilot project to identify and resolve data quality issues that could affect chronic disease prevalence estimates. We examined MENDS validation processes from December 2020 through August 2023 across 5 data-contributing organizations and outlined steps to resolve data quality issues. Results: We identified gaps in the EHR databases of data contributors and in the processes to extract, map, integrate, and analyze their EHR data. Examples of source-data problems included missing data on race and ethnicity and zip codes. Examples of data processing problems included duplicate or missing patient records, lower-than-expected volumes of data, use of multiple fields for a single data type, and implausible values. Conclusion: Validation protocols identified critical errors in both EHR source data and in the processes used to transform these data for analysis. Our experience highlights the value and importance of data validation to improve data quality and the accuracy of surveillance estimates that use EHR data. The validation process and lessons learned can be applied broadly to other EHR-based surveillance efforts.

Fostering Governance and Information Partnerships for Chronic Disease Surveillance: The Multi-State EHR-Based Network for Disease Surveillance.

CONTEXT: Electronic health records (EHRs) are an emerging chronic disease surveillance data source and facilitating this data sharing is complex. PROGRAM: Using the experience of the Multi-State EHR-Based Network for Disease Surveillance (MENDS), this article describes implementation of a governance framework that aligns technical, statutory, and organizational requirements to facilitate EHR data sharing for chronic disease surveillance. IMPLEMENTATION: MENDS governance was cocreated with data contributors and health departments representing Texas, New Orleans, Louisiana, Chicago, Washington, and Indiana through engagement from 2020 to 2022. MENDS convened a governance body, executed data-sharing agreements, and developed a master governance document to codify policies and procedures. RESULTS: The MENDS governance committee meets regularly to develop policies and procedures on data use and access, timeliness and quality, validation, representativeness, analytics, security, small cell suppression, software implementation and maintenance, and privacy. Resultant policies are codified in a master governance document. DISCUSSION: The MENDS governance approach resulted in a transparent governance framework that cultivates trust across the network. MENDS's experience highlights the time and resources needed by EHR-based public health surveillance networks to establish effective governance.

Development of a Hypertension Electronic Phenotype for Chronic Disease Surveillance in Electronic Health Records: Key Analytic Decisions and Their Effects.

INTRODUCTION: Modernizing chronic disease surveillance with electronic health record (EHR) data may provide better data to improve hypertension prevention and control, but no consensus exists for an EHR-based surveillance definition for hypertension. The Multi-State EHR-Based Network for Disease Surveillance (MENDS) pilot surveillance system was used to develop and test an electronic phenotype for hypertension. METHODS: We used MENDS data from 1,671,279 patients in Louisiana to examine the effect of different analytic decisions on estimates of hypertension prevalence. Decisions included 1) whether to restrict surveillance to patients with recent blood pressure measurements, 2) varying the number and recency of encounters to define the population at risk of hypertension, 3) how to define hypertension (diagnosis codes, antihypertensive medication, blood pressure measurements, or combinations of these), and 4) how to handle multiple blood pressure measurements on the same day. Results were compared with independent estimates of hypertension prevalence in Louisiana from the Behavioral Risk Factor Surveillance System (BRFSS). RESULTS: Applying varying criteria resulted in hypertension prevalence estimates ranging from 19.7% to 59.3%. A hypertension surveillance strategy that includes a population with at least 1 clinical encounter with measured blood pressure in the previous 2 years and identifies hypertension using all available data (≥1 diagnosis code, ≥1 antihypertensive medication, and ≥2 elevated blood pressure values ≥140/90 mm Hg on separate days) generated estimates in line with population-based survey data. This definition estimated the crude 2019 hypertension prevalence in the state of Louisiana as 43.4% (age-adjusted, 41.0%), comparable with the crude BRFSS estimate of 39.7% (age adjusted, 37.1%). CONCLUSION: Applying different criteria to define hypertension using EHR data has a large effect on hypertension prevalence estimates. The proposed electronic phenotype generates hypertension prevalence estimates that align with independent estimates from BRFSS.

Understanding Health Equity in Public Health Practice in the United States.

CONTEXT: Understanding the extent to which equity-focused work is occurring in public health departments (eg, in chronic disease programs) can identify areas of success and what is needed to move the needle on health equity. OBJECTIVE: The study objective was to characterize the patterns and correlates of equity-related practices in US state and territorial public health practice. DESIGN: The design was a multimethod (quantitative and qualitative), cross-sectional study. SETTING: The setting included US state and territorial public health departments. PARTICIPANTS: Chronic disease prevention practitioners (N = 600) completed self-report surveys in July 2022 through August 2022 (analyzed in September 2022 through December 2022). MAIN OUTCOME MEASURES: Health equity data were obtained across 4 domains: (1) staff skills, (2) work unit practices, (3) organizational priorities and values, and (4) partnerships and networks. RESULTS: There was a wide range in self-reported performance across the health equity variables. The highest values (those agreeing and strongly agreeing) were related to staff skills (eg, the ability to describe the causes of inequities [82%]). Low agreement was reported for multiple items, indicating the lack of systems for tracking progress on health equity (32%), the lack of hiring of staff members who represent disadvantaged communities (33%), and limited use of principles for community engagement (eg, sharing decision-making authority with partners [34%]). Qualitative data provided tangible examples showing how practitioners and their agencies are turning an array of health equity concepts into actions. CONCLUSIONS: There is urgency in addressing health equity and our data suggest considerable room for enhancing health equity practices in state and territorial public health. To support these activities, our findings provide some of the first information on areas of progress, gaps in practice, and where to target technical assistance, capacity building efforts, and accreditation planning.

Leveraging Electronic Health Record Data for Timely Chronic Disease Surveillance: The Multi-State EHR-Based Network for Disease Surveillance.

CONTEXT: Electronic health record (EHR) data can potentially make chronic disease surveillance more timely, actionable, and sustainable. Although use of EHR data can address numerous limitations of traditional surveillance methods, timely surveillance data with broad population coverage require scalable systems. This report describes implementation, challenges, and lessons learned from the Multi-State EHR-Based Network for Disease Surveillance (MENDS) to help inform how others work with EHR data to develop distributed networks for surveillance. PROGRAM: Funded by the Centers for Disease Control and Prevention (CDC), MENDS is a data modernization demonstration project that aims to develop a timely national chronic disease sentinel surveillance system using EHR data. It facilitates partnerships between data contributors (health information exchanges, other data aggregators) and data users (state and local health departments). MENDS uses query and visualization software to track local emerging trends. The program also uses statistical and geospatial methods to generate prevalence estimates of chronic disease risk measures at the national and local levels. Resulting data products are designed to inform public health practice and improve the health of the population. IMPLEMENTATION: MENDS includes 5 partner sites that leverage EHR data from 91 health system and clinic partners and represents approximately 10 million patients across the United States. Key areas of implementation include governance, partnerships, technical infrastructure and support, chronic disease algorithms and validation, weighting and modeling, and workforce education for public health data users. DISCUSSION: MENDS presents a scalable distributed network model for implementing national chronic disease surveillance that leverages EHR data. Priorities as MENDS matures include producing prevalence estimates at various geographic and subpopulation levels, developing enhanced data sharing and interoperability capacity using international data standards, scaling the network to improve coverage nationally and among underrepresented geographic areas and subpopulations, and expanding surveillance of additional chronic disease measures and social determinants of health.

Participant Variation by Delivery Site Type in an Evidence-Based Physical Activity Program.

This study examined participant demographic and physical function characteristics from EnhanceFitness, an evidence-based physical activity program for older adults. The sample consisted of 19,964 older adults. Participant data included self-reported health and demographic variables, and results for three physical function tests: chair stand, arm curls, and timed up-and-go. Linear regression models compared physical function test results among eight program site types. Participants were, on average, 72 years old, predominantly female, and reported having one chronic condition. Residential site participants' physical function test results were significantly poorer on chair stand and timed up-and-go measures at baseline, and timed up-and-go at a four-month follow-up compared with the reference group (senior centers) after controlling for demographic variables and site clustering. Evidence-based health-promotion programs offered in community settings should assess demographic, health, and physical function characteristics to best serve participants' specific needs, and offer classes tailored to participant function and ability while maintaining program fidelity.

The cost of a primary care-based childhood obesity prevention intervention.

BACKGROUND: United States pediatric guidelines recommend that childhood obesity counseling be conducted in the primary care setting. Primary care-based interventions can be effective in improving health behaviors, but also costly. The purpose of this study was to evaluate the cost of a primary care-based obesity prevention intervention targeting children between the ages of two and six years who are at elevated risk for obesity, measured against usual care. METHODS: High Five for Kids was a cluster-randomized controlled clinical trial that aimed to modify children's nutrition and TV viewing habits through a motivational interviewing intervention. We assessed visit-related costs from a societal perspective, including provider-incurred direct medical costs, provider-incurred equipment costs, parent time costs and parent out-of-pocket costs, in 2011 dollars for the intervention (n = 253) and usual care (n =192) groups. We conducted a net cost analysis using both societal and health plan costing perspectives and conducted one-way sensitivity and uncertainty analyses on results. RESULTS: The total costs for the intervention group and usual care groups in the first year of the intervention were $65,643 (95% CI [$64,522, $66,842]) and $12,192 (95% CI [$11,393, $13,174]). The mean costs for the intervention and usual care groups were $259 (95% CI [$255, $264]) and $63 (95% CI [$59, $69]) per child, respectively, for a incremental difference of $196 (95% CI [$191, $202]) per child. Children in the intervention group attended a mean of 2.4 of a possible 4 in-person visits and received 0.45 of a possible 2 counseling phone calls. Provider-incurred costs were the primary driver of cost estimates in sensitivity analyses. CONCLUSIONS: High Five for Kids was a resource-intensive intervention. Further studies are needed to assess the cost-effectiveness of the intervention relative to other pediatric obesity interventions.

Concerns in measurement of healthy eating and physical activity standards implementation.

As part of its 2011 commitment to the Partnership for Healthier America, the YMCA of the USA (Y-USA) pledged that by 2015, 85 percent of its local Y associations with early childhood or afterschool programs would have at least one program site that met 100 percent of the Y-USA's healthy eating and physical activity (HEPA) standards. To inform the measurement and monitoring of HEPA standards, the Y-USA designed a thirty-three-item online survey to assess which HEPA standards were being met in afterschool program sites each year in order to track progress over time. Verification activities including direct observation, key informant interviews, and document review generated overall compliance ratings for each standard. Compliance ratings were then compared to the self-reported survey results to determine the validity of the survey for assessing each HEPA standard. The survey had variable accuracy when compared to the validation methods. This chapter aims to inform the measurement and monitoring of HEPA standards implementation in larger afterschool networks by reporting on learnings from the Y-USA's early efforts in its network.

MENDS-on-FHIR: leveraging the OMOP common data model and FHIR standards for national chronic disease surveillance.

Objectives: The Multi-State EHR-Based Network for Disease Surveillance (MENDS) is a population-based chronic disease surveillance distributed data network that uses institution-specific extraction-transformation-load (ETL) routines. MENDS-on-FHIR examined using Health Language Seven's Fast Healthcare Interoperability Resources (HL7® FHIR®) and US Core Implementation Guide (US Core IG) compliant resources derived from the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) to create a standards-based ETL pipeline. Materials and Methods: The input data source was a research data warehouse containing clinical and administrative data in OMOP CDM Version 5.3 format. OMOP-to-FHIR transformations, using a unique JavaScript Object Notation (JSON)-to-JSON transformation language called Whistle, created FHIR R4 V4.0.1/US Core IG V4.0.0 conformant resources that were stored in a local FHIR server. A REST-based Bulk FHIR $export request extracted FHIR resources to populate a local MENDS database. Results: Eleven OMOP tables were used to create 10 FHIR/US Core compliant resource types. A total of 1.13 trillion resources were extracted and inserted into the MENDS repository. A very low rate of non-compliant resources was observed. Discussion: OMOP-to-FHIR transformation results passed validation with less than a 1% non-compliance rate. These standards-compliant FHIR resources provided standardized data elements required by the MENDS surveillance use case. The Bulk FHIR application programming interface (API) enabled population-level data exchange using interoperable FHIR resources. The OMOP-to-FHIR transformation pipeline creates a FHIR interface for accessing OMOP data. Conclusion: MENDS-on-FHIR successfully replaced custom ETL with standards-based interoperable FHIR resources using Bulk FHIR. The OMOP-to-FHIR transformations provide an alternative mechanism for sharing OMOP data.

Using latent class analysis to inform the design of an EHR-based national chronic disease surveillance model.

The Multi-state EHR-based Network for Disease Surveillance (MENDS) developed a pilot electronic health record (EHR) surveillance system capable of providing national chronic disease estimates. To strategically engage partner sites, MENDS conducted a latent class analysis (LCA) and grouped states by similarities in socioeconomics, demographics, chronic disease and behavioral risk factor prevalence, health outcomes, and health insurance coverage. Three latent classes of states were identified, which inform the recruitment of additional partner sites in conjunction with additional factors (e.g. partner site capacity and data availability, information technology infrastructure). This methodology can be used to inform other public health surveillance modernization efforts that leverage timely EHR data to address gaps, use existing technology, and advance surveillance.

MENDS-on-FHIR: Leveraging the OMOP common data model and FHIR standards for national chronic disease surveillance.

Objective: The Multi-State EHR-Based Network for Disease Surveillance (MENDS) is a population-based chronic disease surveillance distributed data network that uses institution-specific extraction-transformation-load (ETL) routines. MENDS-on-FHIR examined using Health Language Seven's Fast Healthcare Interoperability Resources (HL7® FHIR®) and US Core Implementation Guide (US Core IG) compliant resources derived from the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) to create a standards-based ETL pipeline. Materials and Methods: The input data source was a research data warehouse containing clinical and administrative data in OMOP CDM Version 5.3 format. OMOP-to-FHIR transformations, using a unique JavaScript Object Notation (JSON)-to-JSON transformation language called Whistle, created FHIR R4 V4.0.1/US Core IG V4.0.0 conformant resources that were stored in a local FHIR server. A REST-based Bulk FHIR $export request extracted FHIR resources to populate a local MENDS database. Results: Eleven OMOP tables were used to create 10 FHIR/US Core compliant resource types. A total of 1.13 trillion resources were extracted and inserted into the MENDS repository. A very low rate of non-compliant resources was observed. Discussion: OMOP-to-FHIR transformation results passed validation with less than a 1% non-compliance rate. These standards-compliant FHIR resources provided standardized data elements required by the MENDS surveillance use case. The Bulk FHIR application programming interface (API) enabled population-level data exchange using interoperable FHIR resources. The OMOP-to-FHIR transformation pipeline creates a FHIR interface for accessing OMOP data. Conclusion: MENDS-on-FHIR successfully replaced custom ETL with standards-based interoperable FHIR resources using Bulk FHIR. The OMOP-to-FHIR transformations provide an alternative mechanism for sharing OMOP data.

Comparative Effectiveness of Clinical and Community-Based Approaches to Healthy Weight.

OBJECTIVES: The objective was to evaluate if 2 pediatric weight management interventions delivered to Hispanic, low-income children (one in a health center the other in a Young Men's Christian Association) were effective in reducing BMI. We hypothesized that they would be equally effective. METHODS: A total 407 children aged 6 to 12 years with BMI ≥ 85th percentile receiving care at 2 health centers were randomly assigned to a healthy weight clinic (HWC) at the health center or to a modified Healthy Weight and Your Child (M-HWYC) intervention delivered in Young Men's Christian Associations. A total of 4037 children served as the comparison group. We completed a noninferiority test comparing the M-HWYC with the HWC, which was supported if the bounds of the 90% confidence interval (CI) for the difference in percentage of the 95th percentile (%BMIp95) change did not contain what we considered a minimally clinically important difference, on the basis of previous data (0.87). Then, using linear mixed models, we assessed yearly changes in BMI among intervention participants compared with the comparison sites. RESULTS: The mean difference in %BMIp95 between the M-HWYC and the HWC was 0.75 (90% CI: 0.07 to 1.43), which did not support noninferiority. Compared with the comparison sites, per year, children in the HWC had a -0.23 (95% CI: -0.36 to -0.10) decrease in BMI and a -1.03 (95% CI -1.61 to -0.45) %BMIp95 decrease. There was no BMI effect in the M-HWYC. CONCLUSIONS: We were unable to establish noninferiority of the M-HWYC. The HWC improved BMI, offering an effective treatment of those disproportionately affected.

A longitudinal implementation evaluation of a physical activity program for cancer survivors: LIVESTRONG® at the YMCA.

PURPOSE: Increased physical activity (PA) levels in cancer survivors are associated with decreased risk of recurrence and mortality as well as additional positive health outcomes. PA interventions have shown to be efficacious, though many lack translation to and sustainability in community settings. We used dimensions of the RE-AIM framework to evaluate LIVESTRONG® at the YMCA, a nation-wide community-based PA program for cancer survivors delivered at Ys. METHODS: This was a longitudinal study design using national LIVESTRONG at the YMCA data compiled between 2010 and 2018. Data is from all YMCAs who deliver LIVESTRONG at the YMCA, submitted by Program Directors to the YMCA-USA. We assessed reach (number of participants), adoption (associations offering the program), implementation (conducting 3 fidelity checks), and organizational level maintenance (associations recently offering program). We also examined relationships between organizational characteristics (years of program existence and association area household income) and program implementation factors with member conversion rates. RESULTS: As of 2018, LIVESTRONG at the YMCA has reached 62,044 survivors and 245 of the 840 (29.2%) of Y associations have adopted the program. Among the adopters, 91% were aware of fidelity checks; implementation of observational (62.3%), goal setting (49.9%), and functional (64.6%) checklists varied. Most (95.1%) adopters reported offering ≥ 1 LIVESTRONG session per year (organizational-level maintenance) and a facility-level mean membership conversion percentage of 46.9 ± 31.2%. Fewer years implementing the program and higher association area household income were significantly associated with a greater membership conversion rate vs their comparison. In a multiple regression model controlling for organizational characteristics, conducting the fidelity checks independently (observational, ß = 8.41; goal-setting, ß = 9.70; and functional, ß = 9.61) and collectively (ß = 10.82; 95% CI 5.90-16.80) was positively associated with higher membership conversion rates. CONCLUSIONS: LIVESTRONG at the YMCA, in its early years, has shown promise for high reach, while adoption at more associations could be facilitated. Implementing fidelity checks along with organizational characteristics were associated with membership conversion rate. Identification of association-level strategies to increase reach, adoption, implementation, and maintenance may increase the impact of this community-based PA program.

Non-traditional settings for influenza vaccination of adults: costs and cost effectiveness.

OBJECTIVE: Influenza vaccination rates remain far below national goals in the US. Expanding influenza vaccination in non-traditional settings such as worksites and pharmacies may be a way to enhance vaccination coverage for adults, but scant data exist on the cost effectiveness of this strategy. The aims of this study were to (i) describe the costs of vaccination in non-traditional settings such as pharmacies and mass vaccination clinics; and (ii) evaluate the projected health benefits, costs and cost effectiveness of delivering influenza vaccination to adults of varying ages and risk groups in non-traditional settings compared with scheduled doctor's office visits. All analyses are from the US societal perspective. METHODS: We evaluated the costs of influenza vaccination in non-traditional settings via detailed telephone interviews with representatives of organizations that conduct mass vaccination clinics and pharmacies that use pharmacists to deliver vaccinations. Next, we constructed a decision tree to compare the projected health benefits and costs of influenza vaccination delivered via non-traditional settings or during scheduled doctor's office visits with no vaccination. The target population was stratified by age (18-49, 50-64 and >or=65 years) and risk status (high or low risk for influenza-related complications). Probabilities and costs (direct and opportunity) for uncomplicated influenza illness, outpatient visits, hospitalizations, deaths, vaccination and vaccine adverse events were derived from primary data and from published and unpublished sources. RESULTS: The mean cost (year 2004 values) of vaccination was lower in mass vaccination (dollars US 17.04) and pharmacy (dollars US 11.57) settings than in scheduled doctor's office visits (dollars US 28.67). Vaccination in non-traditional settings was projected to be cost saving for healthy adults aged >or=50 years, and for high-risk adults of all ages. For healthy adults aged 18-49 years, preventing an episode of influenza would cost dollars US 90 if vaccination were delivered via the pharmacy setting, dollars US 210 via the mass vaccination setting and dollars US 870 via a scheduled doctor's office visit. Results were sensitive to assumptions on the incidence of influenza illness, the costs of vaccination (including recipient time costs) and vaccine effectiveness. CONCLUSION: Using non-traditional settings to deliver routine influenza vaccination to adults is likely to be cost saving for healthy adults aged 50-64 years and relatively cost effective for healthy adults aged 18-49 years when preferences for averted morbidity are included.

Periodic use of inhaled steroids in children with mild persistent asthma: what are pediatricians recommending?

Although asthma treatment guidelines recommend daily inhaled corticosteroid (ICS) use for all persistent asthma, pediatricians may recommend alternative treatment plans for children with mild persistent disease. The authors administered a survey of pediatricians to describe prescribing patterns for mild persistent asthma. More than 99% of providers agreed that periodic ICS could be effective for some asthma patients. Overall, 129/251 providers (51%) reported prescribing daily ICS to most patients with mild persistent asthma, whereas 78 (31%) reported recommending periodic ICS for most such patients. Providers with patient populations > or = 25% black were significantly less likely to report prescribing daily ICS (odds ratio, 0.3; 95% confidence interval, 0.2-0.6) for mild persistent asthma. Further research is needed on the effectiveness of periodic ICS use for children with mild persistent asthma and on underlying reasons for differing provider practice patterns.

Two-year follow-up of a primary care-based intervention to prevent and manage childhood obesity: the High Five for Kids study.

BACKGROUND: The obesity epidemic has spared no age group, even young infants. Most childhood obesity is incident by the age of 5 years, making prevention in preschool years a priority. OBJECTIVE: To examine 2-year changes in age- and sex-specific BMI z-scores and obesity-related behaviours among 441 of the 475 originally recruited participants in High Five for Kids, a cluster randomized controlled trial in 10 paediatric practices. METHODS: The intervention included a more intensive 1-year intervention period (four in-person visits and two phone calls) followed by a less intensive 1-year maintenance period (two in-person visits) among children who were overweight or obese and age 2-6 years at enrolment. The five intervention practices restructured care to manage these children including motivational interviewing and educational modules targeting television viewing and intakes of fast food and sugar-sweetened beverages. RESULTS: After 2 years, compared with usual care, intervention participants had similar changes in BMI z-scores (-0.04 units; 95% CI -0.14, 0.06), television viewing (-0.20 h/d; -0.49 to 0.09) and intakes of fast food (-0.09 servings/week; -0.34 to 0.17) and sugar-sweetened beverages (-0.26 servings/day; -0.67 to 0.14). CONCLUSION: High Five for Kids, a primarily clinical-based intervention, did not affect BMI z-scores or obesity-related behaviours after 2 years.

Addressing physical activity needs of survivors by developing a community-based exercise program: LIVESTRONG® at the YMCA.

BACKGROUND: Although methods of cancer detection and treatment have improved, the side effects of treatment can cause profound debilitation that may linger years after treatment ends. Exercise during and after cancer treatment is safe, and it minimizes many of the deleterious physical and emotional side effects. With this evidence in mind, the LIVESTRONG Foundation and the YMCA of the USA collaborated to develop a community-based physical activity program for survivors, LIVESTRONG® at the YMCA. OBJECTIVES: This article provides in-depth information about the development of the LIVESTRONG at the YMCA program and its subsequent spread to meet the physical activity needs of survivors across the country. METHODS: Participating YMCAs engage in regular data collection efforts to track progress on organizational change and program delivery. These efforts include a staff evaluation survey, functional assessment of participants, patient-reported health status assessment, and patient program evaluation. FINDINGS: From the time of its development, the LIVESTRONG at the YMCA program has served more than 29,000 survivors and trained more than 2,200 LIVESTRONG at the YMCA instructors. A national survey of more than 1,600 program participants demonstrates positive outcomes on health and well-being, as well as intent to continue exercising after the program's end.

Can the Internet be used to reach parents for family-based childhood obesity interventions?

OBJECTIVE: This study aimed to identify socioeconomic correlates of computer/Internet use among parents of overweight preschool-aged children. METHODS: A total of 470 baseline participants in a trial to prevent obesity in children 2 to 6.9 years old with body mass index ≥ 95th percentile or 85th to 95th percentile with one overweight parent were studied. Interviews with parents used Health Information National Trends Survey questions. RESULTS/CONCLUSIONS: Overall, 94% of the participants had home computers and 93% reported Internet usage. In adjusted models, parents with ≤ college degree (odds ratio = 4.8; 95% confidence interval = 1.2-18.3) or with household income ≤$50,000 (odds ratio = 7.6; 95% confidence interval = 2.2-26.8) had decreased likelihood of computer ownership. Of parents who reported going online, 63% used Internet to look for health/medical information for themselves and 42% for their children. Parents with ≤ a college degree or with body mass index <25 kg/m(2) were less likely to use Internet. Results support using the Internet for early childhood obesity prevention with enhanced outreach efforts for low socioeconomic status families.

Correlates of participation in a pediatric primary care-based obesity prevention intervention.

The purpose of this study was to examine the correlates of participation in a childhood obesity prevention trial. We sampled parents of children recruited to participate in a randomized controlled trial. Eligible children were 2.0-6.9 years with BMI ≥ 95th percentile or 85th to <95th percentile if at least one parent was overweight. We attempted contact with parents of children who were potentially eligible. We recruited 475 parents via telephone following an introductory letter. We also interviewed 329 parents who refused participation. Parents who refused participation (n = 329) did not differ from those who participated (n = 475) by number of children at home (OR 0.94 per child; 95% CI: 0.77-1.15) or by child age (OR 1.07 per year; 95% CI: 0.95-1.20) or sex (OR 1.06 for females vs. males; 95% CI: 0.80-1.41). After multivariate adjustment, parents who were college graduates vs. 95th%ile. One reason appears to be that they less frequently consider their children to have a weight problem.