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Record W3107015978 · doi:10.1186/s12889-020-09737-8

A RE-AIM evaluation of Healthy Together: a family-centred program to support children’s healthy weights

2020· article· en· W3107015978 on OpenAlexafffund
Joan L. Bottorff, Anne Huisken, Michele Hopkins, Catherine Nesmith

Bibliographic record

VenueBMC Public Health · 2020
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsKelowna General HospitalOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersPublic Health AgencyPublic Health Agency of Canada
KeywordsMedicineBiostatisticsEthnic groupFidelityProgram evaluationIndigenousSocial supportPublic healthFamily medicineNursingGerontologyPsychology

Abstract

fetched live from OpenAlex

BACKGROUND: Healthy Together (HT) is family-centered program to support healthy eating and physical activity designed for implementation in community organizations serving families who may be experiencing vulnerabilities (e.g., related to low income, isolation, ethnicity, immigrant/refugee status, and/or Indigenous background). The purpose of this study was to conduct an evaluation of HT in a real-world, scale-up phase using the RE-AIM framework. METHODS: Using a cross-sectional, non-comparative design, a community-based program evaluation was conducted in 29 organizations implementing HT as part of their core service programs. Data were collected using questionnaires with program participants and facilitators, and interviews with directors of participating organizations. Quantitative data were analyzed using descriptive statistics and qualitative data were content analyzed. RESULTS: With regards to Reach, over 3400 caregivers, children and youth attended community programming that offered HT. Among those attending on the scheduled day for the evaluation, 663 completed the questionnaires. The majority of caregiver respondents (n = 431) were female (92%) and attended with children 0-6 years. Respondents also included children 4-6 years (n = 142) and 7-12 years (n = 65), and youth 13-18 years (n = 25). Effectiveness was demonstrated in reported improvements in physical activity, healthy eating, and strengthened social connections. HT was also widely supported by participants and facilitators. Adoption was influenced by the desire to enrich core service programs for families, HT's fit within existing programs, organizational commitment, and funding support. Implementation experiences indicated that fidelity to the HT program was generally maintained, with some setting specific adaptations. Maintenance of HT was influenced by financial and non-financial resources within community organizations. Most organizations also introduced new initiatives to extend support for healthy eating and physical activity. CONCLUSION: Our findings indicate improvements in healthy eating and physical activity, and social connections among program participants, as well as efforts by community organizations to create environments to support healthy weights. HT was successfully delivered in "real-world" community settings across multiple contexts and with families with diverse backgrounds. This along with strategies to support program implementation and sustainability indicate that HT provides a model for other public health interventions to promote family health and wellbeing. TRIAL REGISTRATION: ClincialTrials.gov NCT03550248. Registered May 25, 2018.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.306
GPT teacher head0.478
Teacher spread0.172 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations20
Published2020
Admission routes2
Has abstractyes

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