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Health Care Costs at the End of Life for Patients with Idiopathic Pulmonary Fibrosis. Evaluation of a Pilot Multidisciplinary Collaborative Interstitial Lung Disease Clinic

2020· article· en· W3012247397 on OpenAlexaffabout
Meena Kalluri, Jenny Lu-Song, Sarah Younus, Majid Nabipoor, Janice Richman–Eisenstat, Arto Öhinmaa, Jeffrey A. Bakal

Bibliographic record

VenueAnnals of the American Thoracic Society · 2020
Typearticle
Languageen
FieldMedicine
TopicInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Canadian institutionsUniversity of AlbertaAlberta Health Services
Fundersnot available
KeywordsMedicinePalliative careIdiopathic pulmonary fibrosisOdds ratioMultidisciplinary approachPulmonary rehabilitationConfidence intervalHealth careEnd-of-life careAdvance care planningEmergency medicineIntensive care medicineInternal medicinePhysical therapyRehabilitationLungNursing

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.740

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.059
GPT teacher head0.394
Teacher spread0.335 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations38
Published2020
Admission routes2
Has abstractyes

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