Measuring health promotion in a sports club setting: a modified Delphi study
Bibliographic record
Abstract
Abstract Background The settings-based approach has become an increasing focus in health promotion since the World Health Organization’s 1986 Ottawa Charter. Schools and cities have implemented this approach, but development within sports clubs is limited. Thus, an internationally validated measurement of health promotion within this setting is lacking. Methods A modified Delphi study was completed to develop an international evaluation tool grounded in the settings-based approach. Expert panelists from academia, sports and health sectors were invited to participate in 3 online rounds. Items were generated or selected based on 3 prior Delphi-based studies and 2 nationally validated scales. Round one created a collaborative list of items, round two validated items based on relevance, importance and feasibility and the final round classified items into one of four determinants: cultural, social, environmental or economic. Results Panelists (69) from 13 countries participated in creating a final list of 62 items at 3 organizational levels. The sports club level included; 5 cultural, 6 social, 6 environmental and 5 economic items. The management level included; 5 cultural, 5 social, 5 environmental and 3 economic items. The coaching level included; 5 cultural, 5 social, 4 environmental and 4 economic items. Conclusions This study provides three important innovations; 1- it is rooted in theory through the settings-based approach, 2- the measurement tool includes three levels within sports clubs, capturing a whole club dynamic and 3- all items included in the tool have been validated by an international panel of experts. Key messages This 62-item measurement tool allows the comparison of perceptions from participants, coaches and management regarding how health is promoted within their sports club. This information offers insight on the capacity of sports clubs to implement and monitor policies and practices on the promotion of health beyond sports performance within their organization.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.057 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".