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Record W2151539419 · doi:10.1093/fampra/cmi036

Primary care physicians in Hong Kong and Canada—how did their practices differ during the SARS epidemic?

2005· article· en· W2151539419 on OpenAlexaboutno aff
Samuel Yeung Shan Wong, William Chi Wai Wong, Liisa Jaakkimainen, Susan J. Bondy, Kwong Tsang, Albert Lee

Bibliographic record

VenueFamily Practice · 2005
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsnot available
FundersChinese University of Hong KongUniversity of Hong Kong
KeywordsMedicineFamily medicineCoronavirus disease 2019 (COVID-19)Public healthQuarantinePrimary careSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakNursingInfectious disease (medical specialty)Disease

Abstract

fetched live from OpenAlex

BACKGROUND: Hong Kong and Canada have very different primary health care systems. We thus hypothesized family physicians between the two places would be different in how they protected themselves, their staff and families during the epidemic. OBJECTIVE: The purpose of this study was to explore and contrast the impact of SARS on family physicians in Hong Kong and Toronto. METHODS: A postal questionnaire was designed and sent to 183 tutors affiliated with the Chinese University of Hong Kong with 137 replies (74.8%). In Toronto, 150 questionnaires were sent to academic family physicians affiliated with the University of Toronto with 51 replies (34%). RESULTS: All agreed SARS had changed their clinical behaviour. For public health measures in the control of SARS, Hong Kong physicians were less likely to quarantined themselves (77.1% versus 19.4%, P < 0.01) or gave quarantine leave to staff (95% versus 59.7%, P < 0.01) after exposure to probable or suspected SARS. However, they were more likely to wear a mask (52.7% versus 97.7%, P = 0) during consultation, having support staff to wear masks (68.6% versus 97.8%, P = 0) and test patient's temperature (47.1% versus 68.1%, P < 0.01). CONCLUSION: There were noticeable differences in how family physicians deal with SARS between the two cities. As SARS emerged as a global disease, better understanding of practice differences among physicians from different countries would facilitate globalization of public health.

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)0.002
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 score0.345
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.000
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 head0.046
GPT teacher head0.375
Teacher spread0.328 · 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

Citations19
Published2005
Admission routes1
Has abstractyes

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