ArticlePloS one2013
Multi-Institutional Sharing of Electronic Health Record Data to Assess Childhood Obesity.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
43 citing papers in PubMed, 3 syntheses or guidelines pooled it, 64 citations in OpenAlex.
- Data Harmonization Methods and Data Quality Assessment for Integrating Routinely Collected Data Across Multiple Sources: A Systematic Review.Advances in health information science and practice · 2026Pooled it
- Electronic health record data quality assessment and tools: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2023Pooled it
- Effect of Mobile Health Technology on Weight Control in Adolescents and Preteens: A Systematic Review and Meta-Analysis.Frontiers in public health · 2021Pooled it
- Conceptualizing bias in EHR data: A case study in performance disparities by demographic subgroups for a pediatric obesity incidence classifier.PLOS digital health · 2024Article
- Review
- Change in weight category among youth early in the COVID-19 pandemic.Clinical obesity · 2022Article
- Measuring BMI change among children and adolescents.Pediatric obesity · 2022Article
- The use of electronic health records to inform cancer surveillance efforts: a scoping review and test of indicators for public health surveillance of cancer prevention and control.BMC medical informatics and decision making · 2022Article
- Antibiotics prior to age 2 years have limited association with preschool growth trajectory.International journal of obesity (2005) · 2022Article
- Interrelationships among age at adiposity rebound, BMI during childhood, and BMI after age 14 years in an electronic health record database.Obesity (Silver Spring, Md.) · 2022Article
- The Association between Obesity and Chronic Conditions: Results from a Large Electronic Health Records System in Saudi Arabia.International journal of environmental research and public health · 2021Article
- Clinical data for paediatric research: the Swiss approach : Proceedings of the National Symposium in Bern, Switzerland, Dec 5-6, 2019.BMC proceedings · 2021Article
- Completeness and representativeness of body mass index in children's electronic general practice records: Linked cross-sectional study in an ethnically-diverse urban population in the United Kingdom.Pediatric obesity · 2021Article
- Using Large Aggregated De-Identified Electronic Health Record Data to Determine the Prevalence of Common Chronic Diseases in Pediatric Patients Who Visited Primary Care Clinics.Academic pediatrics · 2021Article
- Are there birth cohort effects in disparities in child obesity by maternal education?International journal of obesity (2005) · 2021Article
- Opening a "Can of Worms" to Explore the Public's Hopes and Fears About Health Care Data Sharing: Qualitative Study.Journal of medical Internet research · 2021Article
- Personalized prediction of early childhood asthma persistence: A machine learning approach.PloS one · 2021Article
- Identification of temporal condition patterns associated with pediatric obesity incidence using sequence mining and big data.International journal of obesity (2005) · 2020Article
- Temporal condition pattern mining in large, sparse electronic health record data: A case study in characterizing pediatric asthma.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Big Data for Nutrition Research in Pediatric Oncology: Current State and Framework for Advancement.Journal of the National Cancer Institute. Monographs · 2019Article
Corrections and comments
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Authors and funding
8 authors at 6 institutions in 1 country.
Funding
Abstract
objectiveTo evaluate the validity of multi-institutional electronic health record (EHR) data sharing for surveillance and study of childhood obesity.
methodsWe conducted a non-concurrent cohort study of 528,340 children with outpatient visits to six pediatric academic medical centers during 2007-08, with sufficient data in the EHR for body mass index (BMI) assessment. EHR data were compared with data from the 2007-08 National Health and Nutrition Examination Survey (NHANES).
resultsAmong children 2-17 years, BMI was evaluable for 1,398,655 visits (56%). The EHR dataset contained over 6,000 BMI measurements per month of age up to 16 years, yielding precise estimates of BMI. In the EHR dataset, 18% of children were obese versus 18% in NHANES, while 35% were obese or overweight versus 34% in NHANES. BMI for an individual was highly reliable over time (intraclass correlation coefficient 0.90 for obese children and 0.97 for all children). Only 14% of visits with measured obesity (BMI ≥95%) had a diagnosis of obesity recorded, and only 20% of children with measured obesity had the diagnosis documented during the study period. Obese children had higher primary care (4.8 versus 4.0 visits, p<0.001) and specialty care (3.7 versus 2.7 visits, p<0.001) utilization than non-obese counterparts, and higher prevalence of diverse co-morbidities. The cohort size in the EHR dataset permitted detection of associations with rare diagnoses. Data sharing did not require investment of extensive institutional resources, yet yielded high data quality.
conclusionsMulti-institutional EHR data sharing is a promising, feasible, and valid approach for population health surveillance. It provides a valuable complement to more resource-intensive national surveys, particularly for iterative surveillance and quality improvement. Low rates of obesity diagnosis present a significant obstacle to surveillance and quality improvement for care of children with obesity.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.