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Record W4403454814 · doi:10.1016/j.lana.2024.100910

Comparison of long-term healthcare use among older adults with disabilities following hospitalization for COVID-19, sepsis, or influenza: a population-based cohort study

2024· article· en· W4403454814 on OpenAlexafffundabout
John Lapp, Thérèse A. Stukel, Hannah Chung, Samantha Sze‐Yee Lee, Yona Lunsky, Chaim M. Bell, Angela M. Cheung, Allan S. Detsky, Susie Goulding, Margaret S. Herridge, Aisha Ahmad, Fahad Razak, Amol A. Verma, Hilary K. Brown, Pavlos Bobos, Kieran L. Quinn

Bibliographic record

VenueThe Lancet Regional Health - Americas · 2024
Typearticle
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsLondon Health Sciences CentrePublic Health OntarioThe Scarborough HospitalWestern UniversitySt. Michael's HospitalThinkpath Engineering Services (Canada)Centre for Addiction and Mental HealthInstitute for Clinical Evaluative SciencesUniversity Health NetworkUniversity of TorontoSinai Health System
FundersMinistry of Long-Term CareCanadian Institutes of Health ResearchInstitute for Clinical Evaluative SciencesOntario Ministry of Health and Long-Term CareMinistry of Health, Ontario
KeywordsMedicineCoronavirus disease 2019 (COVID-19)CohortSepsisLong-term careCohort studyPediatricsPopulationTerm (time)Health careEmergency medicineIntensive care medicineInternal medicinePsychiatryEnvironmental healthDiseaseInfectious disease (medical specialty)

Abstract

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Background: People with disabilities are at elevated risk of adverse short-term outcomes following hospitalization for acute infectious illness. No prior studies have compared long-term healthcare use among this high-risk population. We compared the healthcare use of adults with disabilities in the one year following hospitalization for COVID-19 vs. sepsis vs. influenza. Methods: We performed a population-based cohort study using linked clinical and health administrative databases in Ontario, Canada of all adults with pre-existing disability (physical, sensory, or intellectual) hospitalized for COVID-19 (n = 22,551, median age 69 [IQR 57-79], 47.9% female) or sepsis (n = 100,669, median age 77 [IQR 66-85], 54.8% female) between January 25, 2020, and February 28, 2022, and for influenza (n = 11,216, median age 78 [IQR 67-86], 54% female) or sepsis (n = 49,326, median age 72 [IQR 62-82], 45.8% female) between January 1, 2014 and March 25, 2019. The exposure was hospitalization for laboratory-confirmed SARS-CoV-2 or influenza, or sepsis (not secondary to COVID-19 or influenza). Outcomes were ambulatory care visits, diagnostic testing, emergency department visits, hospitalization, palliative care visits and death within 1 year. Rates of these outcomes were compared across exposure groups using propensity-based overlap weighted Poisson and Cox proportional hazards models. Findings: Among older adults with pre-existing disability, hospitalization for COVID-19 was associated with lower rates of ambulatory care visits (adjusted rate ratio (aRR) 0.88, 95% confidence interval (CI), 0.87-0.90), diagnostic testing (aRR 0.86, 95% CI, 0.84-0.89), emergency department visits (aRR 0.91, 95% CI, 0.84-0.97), hospitalization (aRR 0.74, 95% CI, 0.71-0.77), palliative care visits (aRR 0.71, 95% CI, 0.62-0.81) and low hazards of death (adjusted hazard ratio (aHR) 0.71, 95% 0.68-0.75), compared to hospitalization for sepsis during the COVID-19 pandemic. Rates of healthcare use among those hospitalized for COVID-19 varied compared to those hospitalized for influenza or sepsis prior to the pandemic. Interpretation: This study of older adults with pre-existing disabilities hospitalized for acute infectious illness found that COVID-19 was not associated with higher rates of healthcare use or mortality over the one year following hospital discharge compared to those hospitalized for sepsis. However, hospitalization for COVID-19 was associated with higher rates of ambulatory care use and mortality when compared to influenza. As COVID-19 enters an endemic phase, the associated long-term health resource use and risks in the contemporary era are reassuringly similar to sepsis and influenza, even among people with pre-existing disabilities. Funding: This study was supported by ICES, which is funded by an annual grant from the Ontario Ministry of Health and the Ministry of Long-Term Care. This study also received funding from the Canadian Institutes of Health Research (CIHR GA4-177772).

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.025
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.134
GPT teacher head0.459
Teacher spread0.325 · 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 teacher head, 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".

Quick stats

Citations3
Published2024
Admission routes3
Has abstractyes

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