Barriers impacting organizational immunization policy implementation in U.S. and Canadian summer camps
Bibliographic record
Abstract
While immunization practice guidelines for children have been applied within primary schools, little research exists about how immunization practice guidelines are applied within summer camp settings and barriers to policy implementation within those settings. To identify perceived barriers to effective immunization policy implementation in summer camps, data were collected from a purposeful sample of 925 unique summer camp representatives using the CampDoc.com online electronic health record system. Fifty-nine percent (n = 541) of the sample completed an open-ended question about immunization policy barriers, including directors (38%, n = 205), nurses (26%, n = 140), other (20%, n = 106), office staff (13%, n = 73), and physicians (3%, n = 17). Inductive analyses and coder triangulation were used to develop themes. Constructed themes included a lack of parental support for vaccination, difficulties collecting and verifying immunization documentation, variable immunization policy guidelines, immunization exemptions, and organizational focus on financial outcomes. In addition, one-fifth of responding camps perceive no barriers. Camp administrators should work with pediatricians to implement clear and consistent immunization policies emphasizing parent education and informed by local and state guidelines.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".