Looking through a Different Window: Chronic Disease Management in Public Health. Application of Symbolic Interactionism and Institutional Ethnography
Bibliographic record
Abstract
Chronic diseases are defined as illnesses that are prolonged, do not resolve spontaneously and are rarely cured. They constitute 46% of the global burden of diseases and are responsible for 59% of deaths in Canada, tallying billions of dollars in annual medical expenditures. Regardless of the variety of available treatments, a vast majority of patients with chronic conditions report they do not receive the care they need or expect. The efficacy of chronic disease management (CDM) has been proven effective for the general population; the focus of this paper, however, is around populations who are less responsive to mainstream behaviour change interventions. Alternative conceptualizations of CDM could lend support for the development of models that target hard-to-reach populations who often have complex needs and for who typical interventions are reported to be less effective. This paper will explore two theoretical perspectives which provide the basis for alternative conceptualizations, symbolic interactionism (SI) and institutional ethnography (IE).
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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 | 0.007 | 0.001 |
| 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".