Evidence map›Paper›PMID 42147771›Full record

ArticleCurrent epidemiology reports2021

Health Information Technology use among healthcare providers treating children and adolescents with obesity: A systematic review.

Maura Kepper, Callie Walsh-Bailey, Amanda Staiano, Lauren A Fowler, Angeline Gacad, Amber Blackwood, Susan A Fowler, Marjorie Kelley

Abstract read
In one paragraph

Article in Current epidemiology reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Review
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

8 authors.

Maura KepperPrevention Research Center, Washington University in St. Louis, St. Louis, MO, 63130.
Callie Walsh-BaileyPrevention Research Center, Washington University in St. Louis, St. Louis, MO, 63130.
Amanda StaianoPennington Biomedical Research Center, Baton Rouge, LA 70808.
Lauren A FowlerCenter for Healthy Weight and Wellness, Washington University School of Medicine, St. Louis, MO, 63110.
Angeline GacadPrevention Research Center, Washington University in St. Louis, St. Louis, MO, 63130.
Amber BlackwoodNo institutional affiliation.
Susan A FowlerBrown School Library, Washington University in St. Louis, St. Louis, MO, 63130.
Marjorie KelleyCollege of Nursing, The Ohio State University, Columbus, OH, 43210.

Funding

WUSTL Transdisciplinary Pre- and Postdoctoral Training Program in Obesity and Cardiovascular DiseaseT32HL130357 · NHLBI · WASHINGTON UNIVERSITY · PI WILFLEY, DENISE ELLA · 2016 to 2025
$4.3M
Washington University K12 Program in T4 Implementation ResearchK12HL137942 · NHLBI · WASHINGTON UNIVERSITY · PI DAVILA-ROMAN, VICTOR G. · 2017 to 2021
$3.1M
NCCDPHP CDC HHS U48 DP006395NHLBI NIH HHS K12 HL137942NHLBI NIH HHS T32 HL130357
6 · The paper itself

Abstract

Purpose of review: A systematic review was performed to synthesize the latest evidence of health information technology (HIT) used by healthcare professionals to address overweight/obesity among children and adolescents. Recent findings: This literature has not been summarized since 2012 despite the rapidly changing nature of HIT, the millions of federal healthcare dollars invested in the last decade, and the continued burden of childhood obesity and associated metabolic diseases. Summary: Three databases were searched from January, 2012 to August, 2020. Experimental and quasi-experimental studies, including pilot and feasibility studies, using HIT to address obesity and behavior (physical activity and nutrition) change among children and adolescents aged 2-18 years were included. Studies were required to report the impact on clinical/behavioral outcomes or care processes (e.g., BMI screening). Twenty-five studies met inclusion criteria. In sum, HIT tools improved care processes (e.g., screening rates), yet it remains unclear whether improvements in care processes translate to changes in clinical/behavioral outcomes (e.g., BMI). The majority of studies included implementation outcomes; yet outcomes were mainly operationalized as satisfaction and lacked diversity. Studies commonly used a patient-centered approach, yet rarely employed precision-medicine to individualize care based on the patient's data. Few studies specifically targeted disadvantaged populations or social determinants of health and/or used behavioral theory. High quality, rigorous efficacy and effectiveness studies are needed to address the knowledge gaps in this emerging field of science.

Indexed as

Clinical Decision Support SystemsElectronic Health RecordsInformation TechnologyMedical InformaticsMetabolic SyndromePediatric ObesitySystematic Review

Identifiers

PMID42147771
PMCPMC13178503

What OpenQuestion holds

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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.