Developing a Regional Distributed Data Network for Surveillance of Chronic Health Conditions: The Colorado Health Observation Regional Data Service.

Electronic health records (EHRs) provide an alternative to traditional public health surveillance surveys and administrative data for measuring the prevalence and impact of chronic health conditions in populations. As the infrastructure for secondary use of EHR data improves, many stakeholders are poised to benefit from data partnerships for regional access to information. Electronic health records can be transformed into a common data model that facilitates data sharing across multiple organizations and allows data to be used for surveillance. The Colorado Health Observation Regional Data Service, a regional distributed data network, has assembled diverse data partnerships, flexible infrastructure, and transparent governance practices to better understand the health of communities through EHR-based, public health surveillance. This article describes attributes of regional distributed data networks using EHR data and the history and design of Colorado Health Observation Regional Data Service as an emerging public health surveillance tool for chronic health conditions. Colorado Health Observation Regional Data Service and our experience may serve as a model for other regions interested in similar surveillance efforts. While benefits from EHR-based surveillance are described, a number of technology, partnership, and value proposition challenges remain.

Monitoring Depression Rates in an Urban Community: Use of Electronic Health Records.

OBJECTIVES: Depression is the most common mental health disorder and mediates outcomes for many chronic diseases. Ability to accurately identify and monitor this condition, at the local level, is often limited to estimates from national surveys. This study sought to compare and validate electronic health record (EHR)-based depression surveillance with multiple data sources for more granular demographic subgroup and subcounty measurements. DESIGN/SETTING: A survey compared data sources for the ability to provide subcounty (eg, census tract [CT]) depression prevalence estimates. Using 2011-2012 EHR data from 2 large health care providers, and American Community Survey data, depression rates were estimated by CT for Denver County, Colorado. Sociodemographic and geographic (residence) attributes were analyzed and described. Spatial analysis assessed for clusters of higher or lower depression prevalence. MAIN OUTCOME MEASURE(S): Depression prevalence estimates by CT. RESULTS: National and local survey-based depression prevalence estimates ranged from 7% to 17% but were limited to county level. Electronic health record data provided subcounty depression prevalence estimates by sociodemographic and geographic groups (CT range: 5%-20%). Overall depression prevalence was 13%; rates were higher for women (16% vs men 9%), whites (16%), and increased with age and homeless patients (18%). Areas of higher and lower EHR-based, depression prevalence were identified. CONCLUSIONS: Electronic health record-based depression prevalence varied by CT, gender, race/ethnicity, age, and living status. Electronic health record-based surveillance complements traditional methods with greater timeliness and granularity. Validation through subcounty-level qualitative or survey approaches should assess accuracy and address concerns about EHR selection bias. Public health agencies should consider the opportunity and evaluate EHR system data as a surveillance tool to estimate subcounty chronic disease prevalence.

Associations of Adolescent Weight Status and Meeting National Obesity-Related Recommendations.

BACKGROUND: Adolescent overweight and obesity are serious health risks, with prevalence varying by sociodemographic group. Studies link children's weight status and sex/race-ethnic differences with meeting recommendations for physical activity and diet. But, research examining the intersection of sociodemographic characteristics, behavior, and weight status is limited. This paper aims to identify sociodemographic differences in the association between adolescent weight status and meeting 6 national obesity-related recommendations. METHODS: In 2011-2012, the Healthy Kids Colorado Survey was administered to all Denver high school students. Using descriptive and multivariate modeling, we examined subgroup associations between students' self-reported weight status and physical activity and diet. RESULTS: Students (N = 6652) who met at least 1 recommendation were less likely to be at an unhealthy weight (OR = 0.87); also true for students who met at least 1 physical activity recommendation (OR = 0.80). However, the association varied across subgroups. The association between weight status and meeting at least 1 nutritional recommendation (OR = 0.91) was inconsistent across subgroups. Unexpected patterns also emerged in subgroup associations between meeting specific recommendations and weight status. CONCLUSIONS: Identifying subgroup differences in meeting recommendations and the association with weight status is important in identifying high risk groups and improving policy and programs that target childhood obesity prevention.

Implementing a School-Located Vaccination Program in Denver Public Schools.

BACKGROUND: School-located vaccination (SLV) offers an opportunity to deliver vaccines to students, particularly those without a primary care provider. METHODS: This SLV program offered 2 clinics at each of 20 elementary schools (influenza vaccine) and 3 clinics at each of 7 middle/preschool-eighth-grade schools (adolescent platform plus catch-up vaccines) during the 2009-2010 and 2010-2011 school years. Established programmatic processes for immunization delivery in an outreach setting were used. Billing and vaccine inventory management processes were developed. Vaccines from the federal Vaccines for Children program were used for eligible students. Third-party payers were billed for insured students; parents were not billed for services. RESULTS: The proportion of enrolled students who received at least 1 dose of vaccine increased from year 1 to year 2 (elementary: 28% to 31%; middle: 12% to 19%). Issues identified and addressed included program planning with partners, development and implementation of billing processes, development of a solution to adhere to the Family Educational Rights and Privacy Act requirements, development and utilization of an easy-to-comprehend consent form, and implementation of standard work procedures. CONCLUSIONS: This SLV program offered an alternative approach for providing vaccinations to students outside of the primary care setting. To be successful, ongoing partnerships are needed.

Population-level obesity surveillance: monitoring childhood body mass index z-score in a safety-net system.

OBJECTIVE: To determine the utility of repeated patient-level body mass index (BMI) measurements among higher-risk patients seen at safety-net clinics as a community-level monitoring tool for overweight and obesity population trends. METHODS: Data from a network of urban, federally qualified community health centers with computerized tracking of BMI at sequential outpatient visits were analyzed. We performed a longitudinal observational study over 8 years (2005-2012) with children stratified by weight status groups on the basis of BMI. Changes in BMI z-scores were used to estimate population trends among children 2 to 11 years old, with at least 2 visits (at least 1 year apart), for whom weight and height were measured. RESULTS: Among children (n = 33,542), the rate of overweight was 16% and rate of obesity was 18% at their last visit. Children were followed for an average of 3.24 ± 1.76 years to measure trends and change in weight status from earlier to later childhood. Children who were obese at first visit had increased odds (adjusted odds ratio 27.8, 95% confidence interval 25.6-30.2) of being obese by last visit. Mean change in BMI z-score per person-year of observation was 0.10 ± 0.38, with a differing rate of change based on weight status category at last visit (not overweight = 0.06 ± 0.39; overweight = 0.17 ± 0.34; obese = 0.19 ± 0.36). Change in BMI z-score per person-year decreased for 40% of obese children; however, their weight status group remained unchanged. CONCLUSIONS: Childhood obesity prevalence was high, with substantial progression to overweight and obesity from first to last visit. Clinically derived BMI z-score per person-year measures can effectively show population trends not observed using standard weight status categories.

What can providers learn from childhood body mass index trajectories: a study of a large, safety-net clinical population.

OBJECTIVE: To describe childhood weight gain using body mass index (BMI) z-score trajectories in a low-income urban safety-net population and identify among gender- and race/ethnicity-specific groups any trends for increased risk. METHODS: A retrospective cohort study was conducted among 2- to 12-year-old patients (2006-2013) visiting a safety-net provider. BMI z-score trajectories were calculated overall, for gender- and race/ethnicity-specific groups, and for peak BMI percentile subgroups to describe weight gain longitudinally. RESULTS: From 2006 to 2013, a total of 26,234 eligible children were followed for an average of 3.7 years. At baseline (mean age, 4.2 years), 74% of patients were at a normal weight compared to 65% at most recent observation (mean age, 7.8 years). All gender and race/ethnicity subgroups showed increasing average BMI z-scores during childhood. Children consistently under the 50th percentile and those of white race had the most stable BMI z-score trajectories. BMI z-score increased with increasing age in all subgroups. Hispanic boys and black girls had the most significant increase in BMI z-score during this observation period. Children observed in early childhood and whose BMI exceeded the 95th percentile at any time were often already overweight (20%) or obese (36%) by 3 years of age. CONCLUSIONS: The entire population demonstrated an upward trend in BMI z-score trajectory. This trend was most notable among black girls and Hispanic boys. Many obese children were already overweight by age 3, and persistence of obesity after 3 years of age was high, suggesting that intervention before age 3 may be essential to curbing unhealthy weight trajectories.

A mixed methods study of parental vaccine decision making and parent-provider trust.

OBJECTIVE: To describe parental vaccine decision making behaviors and characterize trust in physician advice among parents with varying childhood vaccination behaviors. METHODS: Between 2008 and 2011, a mixed methods study was conducted with parents of children aged <4 years who were members of Kaiser Permanente Colorado health plan. Seven focus groups were conducted with vaccine-hesitant parents. On the basis of findings from the focus groups, a survey was developed, pilot tested, and mailed to a stratified sample of 854 parents who accepted (n = 500), delayed (n = 227), or refused (n = 127) vaccinations for one of their children. Survey results were analyzed by chi-square tests and multivariable logistic regression. RESULTS: Several themes emerged from the focus groups, including: 1) the vaccine decision-making process begins prenatally, 2) vaccine decision making is an evolving process, and 3) there is overall trust in the pediatrician but a lack of trust in the information they provided about vaccines. The survey response rate was 52% (n = 443). Parents who refused or delayed vaccines were 2 times more likely to report that they began thinking about vaccines before their child was born and 8 times more likely to report that they constantly reevaluate their vaccine decisions than parents who accepted all vaccines. Although parents tended to report trusting their pediatrician's advice on nutrition, behavior, and the physical examination, they did not believe their pediatrician provided "balanced" information on both the benefits and risks of vaccination. CONCLUSIONS: These results have implications for future interventions to address parental vaccination concerns. Such interventions may be more effective if they are applied early (during pregnancy) and often (pregnancy through infancy), and cover both the risks and benefits of vaccination.

Physician attitudes regarding school-located vaccinations.

OBJECTIVE: To assess physician attitudes regarding school-located adolescent vaccination and influenza vaccination. METHODS: From July through September 2010, a 20-item survey was mailed to 1337 practicing Colorado family physicians and pediatricians. Standard statistical methods were used to examine unadjusted and adjusted odds ratios of factors associated with physician support for school-located vaccination programs. RESULTS: Overall, 943 physicians were survey-eligible, and 584 (62%) responded. More than half of physicians supported both school-located influenza and adolescent vaccination. However, fewer physicians supported school-located adolescent vaccination compared with influenza vaccination. More physicians supported school-located vaccination for their publicly insured patients compared with their privately insured patients. Some family physicians (32%) and pediatricians (39%) believed that school-located vaccination would make their patients less likely to attend well-child visits, and half of respondents believed that school-located vaccination would have a negative financial impact on their practice. In multivariate analyses, physicians concerned about the financial impact of school-located vaccination were less likely to support such programs. CONCLUSIONS: Although a majority of Colorado physicians supported influenza and adolescent vaccination at school, they expressed concerns regarding the implications on their practice. Lesser support for vaccination of their privately insured patients and concerns regarding attendance at well-child visits suggests the perceived financial impact from school-located vaccination is a barrier and merits additional examination.