Evidence map›Paper›PMID 30374436›Full record

ArticleFrontiers in public health2018

The Family Check-Up 4 Health (FCU4Health): Applying Implementation Science Frameworks to the Process of Adapting an Evidence-Based Parenting Program for Prevention of Pediatric Obesity and Excess Weight Gain in Primary Care.

Justin D Smith, Cady Berkel, Jenna Rudo-Stern, Zorash Montaño, Sara M St George, Guillermo Prado, Anne M Mauricio, Amanda Chiapa, Meg M Bruening, Thomas J Dishion

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
9.4field-weighted citation impact, top 2% of its field
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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 52 citations in OpenAlex.

  1. Pooled it
  2. A developmental cascade perspective of paediatric obesity: A systematic review of preventive interventions from infancy through late adolescence.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2020
    Pooled it
  3. Baseline Targeted Moderation in a Trial of the Family Check-Up 4 Health: Potential Explanations for Finding Few Practical Effects.Prevention science : the official journal of the Society for Prevention Research · 2023
    Trial
  4. Motivational Interviewing and Caregiver Engagement in the Family Check-Up 4 Health.Prevention science : the official journal of the Society for Prevention Research · 2021
    Trial
  5. Effects of the Family Check-Up 4 Health on Parenting and Child Behavioral Health: A Randomized Clinical Trial in Primary Care.Prevention science : the official journal of the Society for Prevention Research · 2021
    Trial
  6. Trial
  7. Trial
  8. Article
  9. Validation of the Observational Assessment Tool for Tailoring (OATT).Prevention science : the official journal of the Society for Prevention Research · 2026
    Article
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  20. Observational
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

10 authors at 4 institutions in 1 country.

Justin D SmithDepartment of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Cady BerkelREACH Institute, Department of Psychology, Arizona State University, Tempe, AZ, United States.
Jenna Rudo-SternREACH Institute, Department of Psychology, Arizona State University, Tempe, AZ, United States.
Zorash MontañoChildren's Hospital of Los Angeles, University of Southern California, Los Angeles, CA, United States.
Sara M St GeorgeDepartment of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, United States.
Guillermo PradoDepartment of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, United States.
Anne M MauricioREACH Institute, Department of Psychology, Arizona State University, Tempe, AZ, United States.
Amanda ChiapaYale Child Study Center, New Haven, CT, United States.
Meg M BrueningDepartment of Nutrition, Arizona State University, Tempe, AZ, United States.
Thomas J DishionREACH Institute, Department of Psychology, Arizona State University, Tempe, AZ, United States.
Arizona State University · USUniversity of Miami · USNorthwestern University · USUniversity of Southern California · US

Funding

INNOVATIVE IMPLEMENTATION RESEARCH METHODS COREP30DA027828 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BROWN, C. HENDRICKS, MUSTANSKI, BRIAN · 2011 to 2020
$11.4M
An Individually Tailored, Family-Centered Intervention for Childhood Obesity: Connecting Services in Pediatric Primary Healthcare, the Home, and the CommunityU18DP006255 · DP · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI BERKEL, CADY, SMITH, JUSTIN D · 2016 to 2017
$3.8M
IMPLEMENTATION RESEARCH INSTITUTE FOR MENTAL HEALTH SERVICES IRI-MHSR25MH080916 · NIMH · WASHINGTON UNIVERSITY · PI Byron James Powell · 2009 to 2026
$3.7M
NCCDPHP CDC HHS U18 DP006255NIDA NIH HHS P30 DA027828NIMH NIH HHS R25 MH080916
6 · The paper itself

Abstract

Implementation experts have recently argued for a process of "scaling out" evidence-based interventions, programs, and practices (EBPs) to improve reach to new populations and new service delivery systems. A process of planned adaptation is typically required to integrate EBPs into new service delivery systems and address the needs of targeted populations while simultaneously maintaining fidelity to core components. This process-oriented paper describes the application of an implementation science framework and coding system to the adaptation of the Family Check-Up (FCU), for a new clinical target and service delivery system-prevention of obesity and excess weight game in primary care. The original FCU has demonstrated both short- and long-term effects on obesity with underserved families across a wide age range. The advantage of adapting such a program is the existing empirical evidence that the intervention improves the primary mediator of effects on the new target outcome. We offer a guide for determining the levels of evidence to undertake the adaptation of an existing EBP for a new clinical target. In this paper, adaptation included shifting the frame of the intervention from one of risk reduction to health promotion; adding health-specific assessments in the areas of nutrition, physical activity, sleep, and media parenting behaviors; family interaction tasks related to goals for health and health behaviors; and coordinating with community resources for physical health. We discuss the multi-year process of adaptation that began by engaging the FCU developer, community stakeholders, and families, which was then followed by a pilot feasibility study, and continues in an ongoing randomized effectiveness-implementation hybrid trial. The adapted program is called the Family Check-Up 4 Health (FCU4Health). We apply a comprehensive coding system for the adaptation of EBPs to our process and also provide a side-by-side comparison of behavior change techniques for obesity prevention and management used in the original FCU and in the FCU4Health. These provide a rigorous means of classification as well as a common language that can be used when adapting other EBPs for context, content, population, or clinical target. Limitations of such an approach to adaptation and future directions of this work are discussed.

Indexed as

adaptationfamily check-upfamily check-up 4 healthimplementation strategiesobesity preventionprimary carescaling out

Identifiers

PMID30374436
PMCPMC6196330
OpenAlexW2893164540

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.