Evidence map›Paper›PMID 41154972›Full record

ArticleInternational journal of environmental research and public health2025

The Implementation of a Blended In-Person and Online Family-Based Childhood Obesity Management Program: A Process Evaluation Pilot Study.

Bianca DeSilva, Anna Sui, Sam Liu, Patti-Jean Pj Naylor

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Bianca DeSilvaSchool of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC V8W 2Y2, Canada.ORCID 0000-0002-2173-7277
Anna SuiSchool of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC V8W 2Y2, Canada.
Sam LiuSchool of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC V8W 2Y2, Canada.ORCID 0000-0003-2364-7774
Patti-Jean Pj NaylorSchool of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC V8W 2Y2, Canada.ORCID 0000-0002-4799-2751

Funding

British Columbia Ministry of Health 000Canadian Institute of Health Research 427406
6 · The paper itself

Abstract

backgroundThe Early Intervention Program (EIP) was a 10-week family-based healthy living intervention for children with a BMI-for-age ≥85th percentile. The effectiveness of the EIP has been previously demonstrated; however, its implementation has not been fully described. Process evaluations provide valuable insight into implementation and improve ongoing intervention delivery.

objectiveThe aim was to evaluate recruitment, intervention content, delivery, and implementation for quality improvement and to inform potential scale-up.

methodsA mixed-methods process evaluation design was used and represented one component of a Type I hybrid effectiveness trial.

resultsThe EIP reached diverse ethnic, educational, and socioeconomic backgrounds (

conclusionThe EIP was highly acceptable and feasible for families and delivery partners, but recruitment, attendance, and online engagement were implementation challenges. Program adjustments are recommended prior to scale-up. These strengths and limitations can help to inform other multi-site childhood healthy living interventions.

Indexed as

Health PromotionPediatric ObesityChildChild, PreschoolFamilyFemaleHumansInternetMalePilot ProjectsProgram EvaluationBritish ColumbiaCanadachildhood obesityimplementationprocess evaluation

Identifiers

PMID41154972
PMCPMC12562636

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.