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Record W2152975553 · doi:10.1093/her/cyu053

Assessing implementation fidelity and adaptation in a community-based childhood obesity prevention intervention

2014· article· en· W2152975553 on OpenAlex
Zoe T. Richards, Ivaylo Kostadinov, Michelle Jones, Lucie Richard, Margaret Cargo

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHealth Education Research · 2014
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsFidelityContext (archaeology)Childhood obesityAdaptation (eye)Intervention (counseling)PsychologyInterpersonal communicationMedicineProcess managementNursingObesityBusinessComputer scienceSocial psychologyGeography

Abstract

fetched live from OpenAlex

Little research has assessed the fidelity, adaptation or integrity of activities implemented within community-based obesity prevention initiatives. To address this gap, a mixed-method process evaluation was undertaken in the context of the South Australian Obesity Prevention and Lifestyle (OPAL) initiative. An ecological coding procedure assessed fidelity and adaptation of activity settings, targets and strategies implemented in the second year of four communities. Implementation integrity reflected fidelity and adaptation to local context, whereas efforts resulting in significant deviations from the original plan were deemed to lack fidelity and integrity. Staff implemented 284 strategies in 205 projects. Results show that 68.3 and 2.1% of strategies were implemented with fidelity or adapted, respectively. Overall, 70.4% of all strategies were implemented with integrity. Staff experienced barriers with 29.6% of strategies. Chi-square analyses show statistically significant associations between implementation integrity and strategy type, intervention and behavioural targets. These relationships are weak to modest. The strongest relationship was found between implementation integrity and proximal target. Staff experienced implementation barriers at the coalition, policy, organization, interpersonal and community levels. The greatest range of barriers was encountered working with organizations. To overcome these barriers, staff took greater ownership, invested more time, persisted and allocated more financial resources.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.048
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0480.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.771
GPT teacher head0.771
Teacher spread0.000 · 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