Impact of individualized care on readmissions after a hospitalization for acute exacerbation of COPD
Bibliographic record
Abstract
Simon L Adamson,1 Jane Burns,1,2 Pat G Camp,1,2 Don D Sin,1,3 Stephan F van Eeden1,31The Centre for Heart Lung Innovation, St Paul’s Hospital, University of British Columbia, 2Department of Physical Therapy, 3Division of Respirology, Department of Medicine, University of British Columbia, Vancouver, BC, CanadaBackground: Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) increase COPD morbidity and mortality and impose a great burden on health care systems. Early readmission following a hospitalization for AECOPD remains an important clinical problem. We examined how individualized comprehensive care influences readmissions following an index hospital admission for AECOPD.Methods: We retrospectively reviewed data of patients admitted for AECOPD to two inner-city teaching hospitals to determine the impact of a comprehensive and individualized care management strategy on readmissions for AECOPD. The control group consisted of 271 patients whose index AECOPD occurred the year before the comprehensive program, and the experimental group consisted of 191 patients who received the comprehensive care. The primary outcome measure was the total number of readmissions in 30- and 90-day postindex hospitalizations. Secondary outcome measures included the length of time between the index admission and first readmission and all-cause mortality.Results: The two groups were similar in terms of age, sex, forced expiratory volume in 1 second, body mass index (BMI), pack-years, and the number and types of comorbidities. Comprehensive care significantly reduced 90-day readmission rates in females (P=0.0205, corrected for age, BMI, number of comorbidities, substance abuse, and mental illness) but not in males or in the whole group (P>0.05). The average times between index admission and first readmission were not different between the two groups. Post hoc multivariate analysis showed that substance abuse (P<0.01) increased 30- and 90-day readmissions (corrected for age, sex, BMI, number of comorbidities, and mental illness). The 90-day all-cause in-hospital mortality rates were significantly less in the care package group (2.67% versus 7.97%, P=0.0268).Conclusion: Comprehensive individualized care for subjects admitted to hospital for AECOPD did not reduce 30- and 90-day readmission rates but did reduce 90-day total mortality. Interestingly, it reduced 90-day readmission rate in females. We speculate that an individualized care package could impact COPD morbidity and mortality after an acute exacerbation.Keywords: readmissions, care package, substance abuse, female, mortality
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How this classification was reachedexpand
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) | 0.001 | 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) | 0.014 | 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 teacher head, 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".