Changing Provider Behavior in the Context of Chronic Disease Management: Focus on Clinical Inertia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Widespread acceptance of evidence-based medicine has led to the proliferation of clinical practice guidelines as the primary mode of communicating current best practices across a range of chronic diseases. Despite overwhelming evidence supporting the benefits of their use, there is a long history of poor uptake by providers. Nonadherence to clinical practice guidelines is referred to as clinical inertia and represents provider failure to initiate or intensify treatment despite a clear indication to do so. Here we review evidence for the ubiquity of clinical inertia across a variety of chronic health conditions, as well as the organizational and system, patient, and provider factors that serve to maintain it. Limitations are highlighted in the emerging literature examining interventions to reduce clinical inertia. An evidence-based framework to address these limitations is proposed that uses behavior change theory and advocates for shared decision making and enhanced guideline development and dissemination.
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.
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 | 0.010 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it