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Record W2586097884 · doi:10.1093/eurpub/ckv167.028

Going beyond ‘context matters' to propose how and why context influences public health interventions

2015· article· en· W2586097884 on OpenAlexaff
Jean Shoveller, Rod Knight, Kim Thomson, Devon Greyson

Bibliographic record

VenueEuropean Journal of Public Health · 2015
Typearticle
Languageen
FieldHealth Professions
TopicFood Security and Health in Diverse Populations
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsContext (archaeology)Psychological interventionPublic health interventionsPublic healthPsychologyPolitical scienceEnvironmental healthPublic relationsMedicineNursingHistoryPsychiatry

Abstract

fetched live from OpenAlex

Introduction Context affects the development, implementation, processes and outcomes of public health interventions (PHIs), yet questions remain as to how and why context matters to PHIs. To advance the science of ‘context' within the field of PHI research, we conducted a scoping review of recent empirical literature regarding the interactions between context and PHIs. Methods We searched MEDLINE for recently published (2012-2013), English-language articles indexed with both the subject heading ‘intervention research' and the keyword ‘context,' limiting the scope to 10 high-impact journals in population and public health. The search yielded 21 articles. We extracted data on: (a) population(s) of interest; (b) description of the population health intervention(s); (c) conceptual definitions of context; (d) operationalization of context; (e) hypothesized pathways and mechanisms through which the PHI influenced health; and (f) descriptions of interactions between PHI and context. Results In included studies, there were few examples where context was operationalized in robust ways. Context was often described as something that needs to be ‘controlled for' or ‘adjusted out' of the analysis - and, often as a strategy to help explain intervention ‘failure'. The literature included in this review also did not address in any depth the hypothesized pathways and mechanisms through which PHIs influence health. Conclusions There is a need for new theoretical and methodological work that takes up the challenges of studying ‘Context x Intervention' interactions that genuinely and deeply respond to the notion that ‘Intervention = Intervention x Context'. Research funders could support new science to reveal how features of context might substantially alter the potential benefits of PHIs. Journals should require intervention research to describe important features of ‘context x intervention interactions' and insist on more precise language to avoid conflating context with setting.

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)0.029
metaresearch head score (Gemma)0.061
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.061
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0060.007
Science and technology studies0.0030.020
Scholarly communication0.0120.018
Open science0.0030.007
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0100.001

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 head0.454
GPT teacher head0.470
Teacher spread0.016 · 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 designTheoretical or conceptual
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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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