A health and lifestyle framework: An evidence‐informed basis for contemporary physical therapist clinical practice guidelines with special reference to individuals with heart failure
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: This study proposes contemporary physical therapist clinical practice guidelines (CPGs) with special reference to heart failure (HF) be grounded in an evidence-informed integrative health and lifestyle framework to not only better reflect the totality and weighting of the literature, but also in the interest of superior patient, clinical, and economic outcomes. METHODS: As an illustration, a health and lifestyle framework is described to underpin, thereby complement, recently published physical therapist CPGs for individuals with HF. RESULTS: The case for the framework, an alternative to a single-disease biomedical perspective, is consistent with 21st century professional and epidemiologic indicators. Four themes that emerged from the HF CPGs and further support such a framework, emerged that is, limitations of conventionally constructed CPGs; physical therapists' scope of practice as "health" professionals; "best" practice in an era of NCDs including HF; and superior economic benefit. DISCUSSION: A health and lifestyle framework underpinning contemporary physical therapist CPGs will enable clinicians to better appreciate the power of lifestyle change in maximizing the health of the heart, its healing and repair, and in mitigating and reversing signs and symptoms of cardiac dysfunction. Further, a focus on health and lifestyle will augment the benefits of the core, evidence-based, key action statements related to exercise in the HF CPGs.
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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 | 0.053 | 0.066 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.009 | 0.007 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.009 | 0.011 |
| Insufficient payload (model declined to judge) | 0.003 | 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".