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Record W4282822040 · doi:10.2147/jmdh.s361896

Pandemic Responsiveness in an Acute Care Setting: A Community Hospital’s Utilization of Operational Resources During COVID-19

2022· article· en· W4282822040 on OpenAlex
Jesse R. McLean, Cathy Clark, Aidan McKee, Suzanne Legue, Jane Cocking, A Lamarche, Corey Heerschap, Sarah E. Morris, Tracey Fletcher, Corey McKee, K. Kennedy, Leigh Gross, Andrew Broeren, Matthew Forder, Wendy Barner, Chris Tebbutt, Suzanne Kings, Giulio DiDiodato

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Multidisciplinary Healthcare · 2022
Typearticle
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsMcMaster UniversityImpactRoyal Victoria Regional Health Centre
Fundersnot available
KeywordsStaffingPreparednessPersonal protective equipmentMedicineNursingThematic analysisWorkforceMedical emergencySurge CapacityBusinessQualitative researchCoronavirus disease 2019 (COVID-19)Political science

Abstract

fetched live from OpenAlex

Background: To ensure continuity of services while mitigating patient surge and nosocomial infections during the coronavirus disease 2019 (COVID-19) pandemic, acute care hospitals have been required to make significant operational adjustments. Here, we identify and discuss key administrative priorities and strategies utilized by a large community hospital located in Ontario, Canada. Methods: Guided by a qualitative descriptive approach, we performed a thematic analysis of all COVID-19-related documentation discussed by the hospital’s emergency operation centre (EOC) during the pandemic’s first wave. We then solicited operational strategies from a multidisciplinary group of hospital leaders to construct a narrative for each theme. Results: Seven recurrent themes critical to the hospital’s pandemic response emerged: 1) Organizational structure : a modified EOC structure was adopted to increase departmental interoperability and situational awareness; 2) Capacity planning : Design Thinking guided rapid infrastructure decisions to meet surge requirements; 3) Occupational health and workplace safety : a multidisciplinary team provided respirator fit-testing, critical absence adjudication, and wellness needs; 4) Human resources/workforce planning : new workforce planning, recruitment, and redeployment strategies addressed staffing shortages; 5) Personal protective equipment (PPE) : PPE conservation required proactive sourcing from traditional and non-traditional suppliers; 6) Community response : local partnerships were activated to divert patients through a non-referral-based assessment and treatment centre, support long-term care and retirement homes, and establish a 70-bed field hospital; and 7) Corporate communication : a robust communication strategy provided timely and transparent access to rapidly evolving information. Conclusion: A community hospital’s operational preparedness for COVID-19 was supported by inter-operability, leveraging internal and external expertise and partnerships, creative problem solving, and developing novel tools to support occupational health and community initiatives. Keywords: COVID-19, pandemic, infection, hospital, acute care, operational

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.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
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 head0.115
GPT teacher head0.473
Teacher spread0.358 · 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