Health Care Costs at the End of Life for Patients with Idiopathic Pulmonary Fibrosis. Evaluation of a Pilot Multidisciplinary Collaborative Interstitial Lung Disease Clinic
Bibliographic record
Abstract
Abstract Rationale Even though idiopathic pulmonary fibrosis (IPF) is a disease with high morbidity and mortality and no cure, palliative care is rarely implemented, leading to high symptom burden and unmet care needs. In 2012, we implemented a multidisciplinary collaborative (MDC) care model linking clinic and community multidisciplinary teams to provide an early integrated palliative approach, focusing on early symptom management and advance care planning. Objectives To evaluate the differences in resource use and associated costs of end-of-life care between patients with IPF who received early integrated palliative care and patients with IPF who received conventional treatment. Methods Using administrative health data, we identified all patients in the Province of Alberta, Canada, who presented to a hospital with an IPF diagnosis between January 1, 2012, and December 31, 2018, and died within this time frame. We compared three groups of patients: those who received MDC care (our clinic patients), specialist care (SC; respirologist), or non-specialist care (NSC; no contact with a respiratory clinic). The primary outcomes were healthcare resource use and costs in the year before death. Results Of 2,768 patients across the three study groups, in the last year of life, MDC patients were more than three times as likely as SC patients to have received antifibrotic therapies (odds ratio [OR], 3.0; 95% confidence interval [CI], 1.8–5.2), almost twice as likely to have received pulmonary rehabilitation (OR, 1.9; 95% CI, 1.1–3.4), and 36% more likely to have received opiates (OR, 1.4; 95% CI, 0.8–2.3). The median total healthcare costs in the last 3 months of life were approximately C$7,700 lower for MDC patients than for those receiving SC, driven primarily by fewer hospitalizations and emergency department visits. MDC patients were also less likely to die in the hospital (44.9% MDC vs. 64.9% SC vs. 66.8% NSC; P < 0.001) and had the highest rates of no hospitalization in the last year of life. Conclusions An integrated palliative approach in IPF is associated with improvements in the quality of end-of-life care and reduction in costs. Transformation of care models is required to deliver palliative care for patients with IPF. MDC teams within such models can address the high burden of unmet needs for symptom management, advance care planning, and community support in this complex population.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".