Evidence map›Paper›PMID 32187633›Full record

ArticleApplied clinical informatics2020

Adoption of an Electronic Medical Record Tool for Childhood Obesity by Primary Care Providers.

Amy Williams, Christy Turer, Jamie Smith, Isabelle Nievera, Laura McCulloch, Nuha Wareg, Megan Clary, Anuradha Rajagopalan, Ross C Brownson, Richelle J Koopman and 1 more

Abstract read
In one paragraph

Article in Applied clinical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. A Longitudinal Effectiveness Study of a Child Obesity Electronic Health Record Tool.Journal of the American Board of Family Medicine : JABFM
    Article
  15. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Amy WilliamsDepartment of Family and Community Medicine, University of Missouri, Columbia, Missouri, United States.
Christy TurerDepartment of Internal Medicine-Pediatrics, University of Texas Southwestern, Dallas, Texas, United States.
Jamie SmithDepartment of Family and Community Medicine, University of Missouri, Columbia, Missouri, United States.
Isabelle NieveraUniversity of Missouri School of Medicine, Columbia, Missouri, United States.
Laura McCullochColumbia/Boone County Public Health and Human Services, Columbia, Missouri, United States.
Nuha WaregDepartment of Family and Community Medicine, University of Missouri, Columbia, Missouri, United States.
Megan ClaryDepartment of Child Health, University of Missouri, Columbia, Missouri, United States.
Anuradha RajagopalanDepartment of Child Health, University of Missouri, Columbia, Missouri, United States.
Ross C BrownsonDepartment of Surgery and Alvin J. Siteman Cancer Center, Washington University in St. Louis, St. Louis, Missouri, United States.
Richelle J KoopmanDepartment of Family and Community Medicine, University of Missouri, Columbia, Missouri, United States.
Sarah HamplGeneral Pediatrics and Weight Management, Children's Mercy Hospital Center for Children's Healthy Lifestyles and Nutrition, Kansas City, Missouri, United States.

Funding

Washington University Nutrition Obesity Research CenterP30DK056341 · NIDDK · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 1999 to 2026
$30.2M
Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI Ronald T. Ackermann, MARSHALL H CHIN · 2011 to 2026
$10.0M
Washington University Implementation Science Center for Cancer Control (WU-ISCCC)P50CA244431 · NCI · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C, COLDITZ, GRAHAM A. · 2019 to 2023
$8.0M
Building Evidence for High-Quality Pediatric Primary Care Weight and Comorbidity ManagementR21DK114764 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI TURER, CHRISTY BOLING · 2018 to 2019
$446k
Development of Single-Screen Clinical Decision Support to Increase Guideline-Based Weight Management and Comorbidity CareR03HL144811 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI TURER, CHRISTY BOLING · 2018 to 2019
$162k
American Academy of Family Physicians Foundation Joint Grant Award Program G1603JGNCI NIH HHS P50 CA244431NHLBI NIH HHS R03 HL144811NIDDK NIH HHS P30 DK056341NIDDK NIH HHS P30 DK092949NIDDK NIH HHS P30 DK092950NIDDK NIH HHS R21 DK114764
6 · The paper itself

Abstract

backgroundPrimary care providers are tasked with the increasingly difficult job of addressing childhood obesity during clinic visits. Electronic medical record (EMR)-enabled decision-support tools may aid providers in this task; however, information is needed regarding whether providers perceive such tools to be useful for addressing nutrition and physical activity lifestyle behaviors.

objectivesThis study aimed to evaluate the usefulness and usability of FitTastic, an EMR-enabled tool to support prevention and management of childhood obesity in primary care.

methodsIn this mixed-method study, we implemented the FitTastic tool in two primary-care clinics, then surveyed and conducted focused interviews with providers. Validated Technology Acceptance Model perceived usefulness and National Aeronautics and Space Administration (NASA) perceived usability survey questions were e-mailed to 60 providers. In-depth provider interviews with family medicine and pediatric physicians (

resultsSurveys were completed by 73% of providers (

conclusionFitTastic is perceived as a useful and usable EMR-based lifestyle behavior tool that standardizes, facilitates, and streamlines healthy lifestyle conversations with families. Perceived usability and usefulness scores correlated with provider intention-to-use the technology. These data suggest that EMR-based child obesity prevention and management tools can be feasible to use in the clinic setting, with potential for scalability. Usefulness can be optimized by limiting amount of time needed by staff to input data.

Indexed as

Attitude to ComputersElectronic Health RecordsPediatric ObesityHealth PersonnelHumansPrimary Health CareSurveys and Questionnaires

Identifiers

PMID32187633
PMCPMC7080555

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.