Continuity of Care and Health Outcomes Among Persons With Severe Mental Illness
Bibliographic record
Abstract
OBJECTIVES: Although the association between continuity of care and health outcomes among persons with severe mental illness is beginning to be elucidated, the association between continuity and costs has remained virtually unexplored. The purpose of this study was to examine the relationship of continuity of care and health care costs in a sample of 437 adults with severe mental illness in three health regions of Alberta, Canada. METHODS: Service use events and costs were tracked through self-reported and administrative data. Associations between continuity and costs were examined by using analysis of variance and regression analysis. RESULTS: Mean+/-SD total, hospital, and community cost over the 17-month study period were $24,070+/-$25,643, $12,505+/-$20,991, and $2,848+/-$4,420, respectively. The difference in means across levels of observer-rated continuity was not statistically significant for total cost, but improved continuity was associated with both lower hospital cost and higher community cost. Total cost was significantly lower for patients with a higher self-rated quality of life as indicated on the EQ-5D visual analogue scale, although associations did not hold up in the regression analysis. Patients with higher functioning as rated by the Multnomah Community Abilities Scale had significantly lower total and community costs. CONCLUSIONS: The study showed a relationship between continuity of care and both hospital and community costs. The data also indicate that a relationship exists between cost and level of patient functioning. It will be necessary to conduct further studies using experimental designs to examine the impact of shifting resources from hospitals to the community, particularly for high-need patients, on continuity of care and subsequent outcomes.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".