scholarly journals Pediatric data from the All of Us research program: demonstration of pediatric obesity over time

JAMIA Open ◽  
2021 ◽  
Vol 4 (4) ◽  
Author(s):  
Nicholas P Giangreco ◽  
Sulieman Lina ◽  
Jun Qian ◽  
Aymone Kuoame ◽  
Vignesh Subbian ◽  
...  

Abstract Objective To describe and demonstrate use of pediatric data collected by the All of Us Research Program. Materials and Methods All of Us participant physical measurements and electronic health record (EHR) data were analyzed including investigation of trends in childhood obesity and correlation with adult body mass index (BMI). Results We identified 19 729 participants with legacy pediatric EHR data including diagnoses, prescriptions, visits, procedures, and measurements gathered since 1980. We found an increase in pediatric obesity diagnosis over time that correlates with BMI measurements recorded in participants’ adult EHRs and those physical measurements taken at enrollment in the research program. Discussion We highlight the availability of retrospective pediatric EHR data for nearly 20 000 All of Us participants. These data are relevant to current issues such as the rise in pediatric obesity. Conclusion All of Us contains a rich resource of retrospective pediatric EHR data to accelerate pediatric research studies.

2007 ◽  
Vol 16 (3) ◽  
pp. 626-628 ◽  
Author(s):  
Kirsten B. Moysich ◽  
Julie A. Baker ◽  
Ravi J. Menezes ◽  
Vijayvel Jayaprakash ◽  
Kerry J. Rodabaugh ◽  
...  

2018 ◽  
Vol 26 (1) ◽  
pp. 55-60 ◽  
Author(s):  
Christy B Turer ◽  
Celette S Skinner ◽  
Sarah E Barlow

Abstract We developed and validated an algorithm that uses combinations of extractable electronic-health-record (EHR) indicators (diagnosis codes, orders for laboratories, medications, and referrals) that denote widely-recommended clinician practice behaviors: attention to overweight/obesity/body mass index alone (BMI Alone), with attention to hypertension/other comorbidities (BMI/Medical Risk), or neither (No Attention). Data inputs used for each EHR indicator were refined through iterative chart review to identify and resolve modifiable coding errors. Validation was performed through manual review of randomly selected visit encounters (n = 308) coded by the refined algorithm. Of 104 encounters coded as No Attention, 89.4% lacked any evidence (specificity) of attention to BMI/Medical Risk. Corresponding evidence (sensitivity) of attention to BMI Alone was identified in 96.0% (of 101 encounters coded as BMI Alone) and BMI/Medical Risk in 96.1% (of 103 encounters coded as BMI/Medical Risk). Our EHR data algorithm can validly determine provider attention to BMI alone, with Medical Risk, or neither.


2012 ◽  
Vol 43 (6) ◽  
pp. 837-854 ◽  
Author(s):  
Heather H. McClure ◽  
J. Mark Eddy ◽  
Jean M. Kjellstrand ◽  
J. Josh Snodgrass ◽  
Charles R. Martinez

2018 ◽  
Vol 4 (2) ◽  
pp. 143-150 ◽  
Author(s):  
A. Yansane ◽  
O. Tokede ◽  
J. White ◽  
J. Etolue ◽  
L. McClellan ◽  
...  

Introduction: To fill the void created by insufficient dental terminologies, a multi-institutional workgroup was formed among members of the Consortium for Oral Health Research and Informatics to develop the Dental Diagnostic System (DDS) in 2009. The adoption of dental diagnosis terminologies by providers must be accompanied by rigorous usability and validity assessments to ensure their effectiveness in practice. Objectives: The primary objective of this study was to describe the utilization and correct use of the DDS over a 4-y period. Methods: Electronic health record data were amassed from 2013 to 2016 where diagnostic terms and Current Dental Terminology procedure code pairs were adjudicated by calibrated dentists. With the resultant data, we report on the 4-y utilization and validity of the DDS at 5 dental institutions. Utilization refers to the proportion of instances that diagnoses are documented in a structured format, and validity is defined as the frequency of valid pairs divided by the number of all treatment codes entered. Results: Nearly 10 million procedures ( n = 9,946,975) were documented at the 5 participating institutions between 2013 and 2016. There was a 1.5-fold increase in the number of unique diagnoses documented during the 4-y period. The utilization and validity proportions of the DDS had statistically significant increases from 2013 to 2016 ( P < 0.0001). Academic dental sites were more likely to document diagnoses associated with orthodontic and restorative procedures, while the private dental site was equally likely to document diagnoses associated with all procedures. Overall, the private dental site had significantly higher utilization and validity proportions than the academic dental sites. Conclusion: The results demonstrate an improvement in utilization and validity of the DDS terminology over time. These findings also yield insight into the factors that influence the usability, adoption, and validity of dental terminologies, raising the need for more focused training of dental students. Knowledge Transfer Statement: Ensuring that providers use standardized methods for documentation of diagnoses represents a challenge within dentistry. The results of this study can be used by clinicians when evaluating the utility of diagnostic terminologies embedded within the electronic health record.


2009 ◽  
Vol 16 (4) ◽  
pp. 457-464 ◽  
Author(s):  
L. Zhou ◽  
C. S. Soran ◽  
C. A. Jenter ◽  
L. A. Volk ◽  
E. J. Orav ◽  
...  

2017 ◽  
Vol 49 (8) ◽  
pp. 1174-1181 ◽  
Author(s):  
Matthew R Robinson ◽  
◽  
Geoffrey English ◽  
Gerhard Moser ◽  
Luke R Lloyd-Jones ◽  
...  

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