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Record W3198461526 · doi:10.12927/hcpol.2021.26583

Post-Pandemic Transformation of Healthcare Delivery in Provinces and Territories

2021· editorial· fr· W3198461526 on OpenAlexvenueno aff
Jason M. Sutherland

Bibliographic record

VenueHealthcare policy · 2021
Typeeditorial
Languagefr
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsPandemicHealthcare deliveryHealth careGovernment (linguistics)Coronavirus disease 2019 (COVID-19)Healthcare policyBusinessEconomic growthPolitical scienceHealth policyMedicineHealth care reformEconomics

Abstract

fetched live from OpenAlex

A s i write this, positive signs regarding the pandemic are beginning to affect our daily lives.We are now able to meet with our extended families, friends and neighbours.For many people, these changes signal the end of isolation, fear and loneliness and harken a return to normal life and behaviours.Changes are now also appearing in the healthcare sector.Long-term care homes have been reopened to families and visitors.Homecare visits are returning to their pre-pandemic levels, and hospitals have restarted all elective surgeries.We should celebrate the fact that the delivery of acute and emergency healthcare carried on throughout the pandemic.With some exceptions, cancer-related care continued throughout, trauma care was available and dialysis continued.This occurred even as the focus of governments, organizations and individual providers shifted to the pandemic' s effects on physical and mental health.Many new policies, procedures and physical spaces were used to deliver healthcare during the COVID-19 pandemic in order to provide critical care and lessen the risks of transmission within healthcare organizations and among providers, patients, their families and the community.As reopening unfolds, some of the significant challenges facing the federal government, provinces and territories are these: What new practices and behaviours should be retained in the post-pandemic era?How will the changes be paid for? Competing Options for Healthcare DeliveryIt is not yet clear how the pandemic has impacted current federal, provincial and territorial healthcare budgets.While healthcare is already a significant component of provinces' and territories' economies, the guess is that healthcare spending has jumped substantively.For the healthcare sector, the short-term focus will be on provincial and territorial governments' actions and what they signal as their new-normal state for healthcare delivery.- Post-Pandemic Transformation of Healthcare Delivery in Provinces and Territories

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)0.013
metaresearch head score (Gemma)0.044
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.981
Threshold uncertainty score0.199

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.044
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0030.003
Science and technology studies0.0090.006
Scholarly communication0.0140.007
Open science0.0050.004
Research integrity0.0310.029
Insufficient payload (model declined to judge)0.0120.004

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 head0.034
GPT teacher head0.409
Teacher spread0.375 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations0
Published2021
Admission routes1
Has abstractyes

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