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Record W2515078179 · doi:10.1177/1043659616666325

Health Priorities and Health-Seeking Behaviors of Old Order Anabaptists in Southern Ontario With Emphasis on Cancer Screening

2016· article· en· W2515078179 on OpenAlexafffundabout
Dionne Gesink, Jane Leach, Kate A. McBride, Karen Bergin-Payette

Bibliographic record

VenueJournal of Transcultural Nursing · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture and Farm Safety
Canadian institutionsAlberta Health ServicesUniversity of Toronto
FundersCancer Care Ontario
KeywordsOrder (exchange)MedicineCancerGerontologyEnvironmental healthFamily medicineBusiness

Abstract

fetched live from OpenAlex

BACKGROUND: Cancer-screening rates are low among Old Order Anabaptists; the burden of cancer is unknown. PURPOSE: To investigate cancer and health in the Old Order Anabaptist context. Specifically, to describe health priorities and health-seeking behaviors, crudely estimate cancer burden, and identify predictors of cancer screening. METHOD: A cross-sectional survey was distributed to households around Perth County, Ontario, in January 2014. RESULTS: Response rate was 45%. Cancer burden was low. Cancer was a lower priority than general and mental health. After adjustment, family/friends motivated cancer screening for regular screeners ( OR: 6.38, 95% CI [1.93, 21.07]) and symptoms was reported to motivate those underscreened/never screened ( OR: 0.48, 95% CI [0.24, 0.96]). CONCLUSION: Cancer-screening participation may be low because the burden of cancer is low and there are other high-priority health concerns. IMPLICATIONS: Integrated cancer screening and holistic care may improve participation.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.794
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.028
GPT teacher head0.275
Teacher spread0.247 · 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 teacher head, 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

Citations5
Published2016
Admission routes3
Has abstractyes

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