Proposed model of integrated care to improve health outcomes for individuals with multimorbidities
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
Multimorbidity is defined as the coexistence of multiple chronic conditions. Individuals with multimorbidity typically present with complex needs and show significant changes in their functional health and quality of life. Multimorbidity in the aging population is well recognized, but there has been limited research on ways to manage the problem effectively. More recent studies have demonstrated a high prevalence of multimorbidity in the younger demographics aged under 65 years. There is a definite need to develop models of care that can manage these individuals effectively and mitigate the impact of illness on individuals and the financial burden to the health care system. An integrated model of care has been developed and implemented in a facility in Nova Scotia that routinely treats individuals with multiple chronic conditions. This care model is designed to address the specific needs of this complex patient population, with integrated and coordinated care modules that meet the needs of the person versus the disease. The results of a pilot evaluation of this care model are also discussed.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 it