Monitoring physical functioning as the sixth vital sign: evaluating patient and practice engagement in chronic illness care in a primary care setting--a quasi-experimental design
Bibliographic record
Abstract
BACKGROUND: In Canada, one in three adults or almost 9 million people report having a chronic condition. Over two thirds of total deaths result from cardiovascular disease, diabetes, cancer and respiratory illness and 77% of persons ≥65 years have at least one chronic condition. Persons with chronic disease are at risk for functional decline; as a result, there is an increased awareness of the significance of functional status as an important health outcome. The purpose of this study was to determine whether patients who receive a multi-component rehabilitation intervention, including online monitoring of function with feedback and self-management workshops, showed less functional decline than case matched controls who did not receive this intervention. In addition, we wanted to determine whether capacity building initiatives within the Family Health Team promote a collaborative approach to Chronic Disease Management. METHODS: A population-based multi-component rehabilitation intervention delivered to persons with chronic illnesses (≥ 44 yrs) (n = 60) was compared to a group of age and sex matched controls (n = 60) with chronic illnesses receiving usual care within a primary healthcare setting. The population-based intervention consisted of four main components: (1) function-based individual assessment and action planning, (2) rehabilitation self-management workshops, (3) on-line self-assessment of function and (4) organizational capacity building. T-tests and chi-square tests were used for continuous and categorical variables respectively in baseline comparison between groups. RESULTS: Two MANOVA showed significant between group differences in patient reported physical functioning (Λ = 0.88, F = (2.86) = 5.97. p = 0.004) and for the physical performance measures collectively as the dependent variable (Λ = 0.80, F = (6.93) = 3.68. p = 0.0025). There were no within group differences for the capacity measures. CONCLUSION: It is feasible to monitor physical functioning as a health outcome for persons with chronic illness in primary care. The timeline for this study was not sufficient to show an increase in the capacity within the team; however there were some differences in patient outcomes. The short timeline was likely not sufficient to build the capacity required to support this approach. TRIAL REGISTRATION: NCT00859638.
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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 | 0.013 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".