Estimating Childhood Obesity Prevalence in Communities Through Multi-institutional Data Sharing.
J Public Health Manag Pract
; 26(4): E1-E10, 2020.
Article
em En
| MEDLINE
| ID: mdl-30789593
ABSTRACT
CONTEXT Although local childhood obesity prevalence estimates would be valuable for planning and evaluating obesity prevention efforts in communities, these data are often unavailable. OBJECTIVE:
The primary objective was to create a multi-institutional system for sharing electronic health record (EHR) data to produce childhood obesity prevalence estimates at the census tract level. A secondary objective was to adjust obesity prevalence estimates to population demographic characteristics. DESIGN/SETTING/PARTICIPANTS:
The study was set in Denver County, Colorado. Six regional health care organizations shared EHR-derived data from 2014 to 2016 with the state health department for children and adolescents 2 to 17 years of age. The most recent height and weight measured during routine care were used to calculate body mass index (BMI); obesity was defined as BMI of 95th percentile or more for age and sex. Census tract location was determined using residence address. Race/ethnicity was imputed when missing, and obesity prevalence estimates were adjusted by sex, age group, and race/ethnicity. MAIN OUTCOME MEASURE(S) Adjusted obesity prevalence estimates, overall, by demographic characteristics and by census tract.RESULTS:
BMI measurements were available for 89 264 children and adolescents in Denver County, representing 73.9% of the population estimate from census data. Race/ethnicity was missing for 4.6%. The county-level adjusted childhood obesity prevalence estimate was 13.9% (95% confidence interval, 13.6-14.1). Adjusted obesity prevalence was higher among males, those 12 to 17 years of age, and those of Hispanic race/ethnicity. Adjusted obesity prevalence varied by census tract (range, 0.4%-24.7%). Twelve census tracts had an adjusted obesity prevalence of 20% or more, with several contiguous census tracts with higher childhood obesity occurring in western areas of the city.CONCLUSIONS:
It was feasible to use a system of multi-institutional sharing of EHR data to produce local childhood obesity prevalence estimates. Such a system may provide useful information for communities when implementing obesity prevention programs.
Texto completo:
1
Bases de dados:
MEDLINE
Assunto principal:
Disseminação de Informação
/
Mineração de Dados
/
Obesidade Infantil
Tipo de estudo:
Etiology_studies
/
Prevalence_studies
/
Risk_factors_studies
Limite:
Adolescent
/
Child
/
Child, preschool
/
Female
/
Humans
/
Male
País/Região como assunto:
America do norte
Idioma:
En
Revista:
J Public Health Manag Pract
Assunto da revista:
SAUDE PUBLICA
/
SERVICOS DE SAUDE
Ano de publicação:
2020
Tipo de documento:
Article