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Record W4367836011 · doi:10.1016/s2666-7568(23)00062-4

Mitigating the risk of respiratory infection outbreaks in crowded nursing homes in Hong Kong

2023· letter· en· W4367836011 on OpenAlexaboutno aff
Lina Chow

Bibliographic record

VenueThe Lancet Healthy Longevity · 2023
Typeletter
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsnot available
Fundersnot available
KeywordsOutbreakCrowdingMedicineEnvironmental healthGovernment (linguistics)Health careFamily medicineGerontologyEconomic growthPsychologyVirology

Abstract

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In The Lancet Healthy Longevity, Pamela Leece and colleagues1Leece P Whelan M Costa AP et al.Nursing home crowding and its association with outbreak-associated respiratory infection in Ontario, Canada before the COVID-19 pandemic (2014–19): a retrospective cohort study.Lancet Healthy Longev. 2023; 4: e107-e114Summary Full Text Full Text PDF Scopus (2) Google Scholar report that a high crowding index is associated with an increased risk of respiratory infection outbreaks in care homes. However, this increased risk can be mitigated by means other than reducing crowding, if circumstances do not permit such a reduction. In Hong Kong, nearly all care homes have a high crowding index. Four-person or six-person bedrooms are a common design in government-funded care homes. Most private care homes have an open floor plan, where bedspaces are separated by low partitions.2Chow L Care homes and COVID-19 in Hong Kong: how the lessons from SARS were used to good effect.Age Ageing. 2021; 50: 21-24Crossref PubMed Scopus (22) Google Scholar Because property prices and rent costs are very high, reducing crowding in care homes in Hong Kong is largely impossible. In response to the outbreak of severe acute respiratory syndrome in 2003, the Hong Kong government implemented, in 2007, measures to minimise the risk of outbreaks of communicable diseases in care homes.3Centre for Health Protection Hong KongGuidelines on prevention of communicable diseases in residential care homes for the elderly.https://www.chp.gov.hk/files/pdf/guidelines_on_prevention_of_communicable_diseases_in_rche_eng.pdfDate accessed: March 28, 2023Google Scholar First, every care home must appoint an infection control officer. Second, to mitigate crowding issues, care homes must maintain good indoor ventilation by means of natural methods, such as open windows, or mechanical methods, such as extractor fans. The proposed standard for fresh air replacement is at least 0·43 m3/min per person.4Centre for Health Protection Hong KongA supplement on ventilation. Guidelines on prevention of communicable diseases in residential care homes for the elderly & guidelines on prevention of communicable diseases in residential care home for persons with disabilities.https://www.chp.gov.hk/files/pdf/a_supplement_on_ventilation.pdfDate accessed: March 28, 2023Google Scholar Third, care homes must monitor the health conditions of residents and staff closely to allow for early detection of outbreaks. Fourth, whenever a resident shows symptoms of respiratory infection, they must wear a surgical mask until symptoms resolve. Fifth, residents with respiratory symptoms must be isolated in an individual room, or partitions must be used to separate them from other roommates. Sixth, staff and visitors must wear surgical masks in care homes when a resident has respiratory symptoms. Seventh, to avoid cross-infection, the same group of staff should care for the same group of residents. These measures were very effective at containing the spread of SARS-CoV-2 before the emergence of the omicron strain in February, 2022.2Chow L Care homes and COVID-19 in Hong Kong: how the lessons from SARS were used to good effect.Age Ageing. 2021; 50: 21-24Crossref PubMed Scopus (22) Google Scholar From January, 2020, to July, 2021, less than 200 residents in 40 care homes in Hong Kong had COVID-19, even though the vaccination rate of residents was very low.2Chow L Care homes and COVID-19 in Hong Kong: how the lessons from SARS were used to good effect.Age Ageing. 2021; 50: 21-24Crossref PubMed Scopus (22) Google Scholar These measures are also effective to prevent other respiratory infection outbreaks. Only 90 influenza outbreaks occurred in care homes in Hong Kong in 2018, and 98 outbreaks in 2019,5Centre for Health Protection Hong KongFlu express.https://www.chp.gov.hk/en/resources/29/304.htmlDate accessed: March 28, 2023Google Scholar which are modest numbers considering that Hong Kong has 1069 care homes. Furthermore, no influenza outbreaks occurred in care homes in Hong Kong between Feb 16, 2020, and Jan 28, 2023.5Centre for Health Protection Hong KongFlu express.https://www.chp.gov.hk/en/resources/29/304.htmlDate accessed: March 28, 2023Google Scholar The Hong Kong circumstances show that appropriate measures can be effective in preventing outbreaks of respiratory infection in care homes—even in conditions of high crowding. I declare no competing interests. Nursing home crowding and its association with outbreak-associated respiratory infection in Ontario, Canada before the COVID-19 pandemic (2014–19): a retrospective cohort studyRespiratory infection and mortality rates were higher in nursing homes with high crowding index than in homes with low crowding index, and the association was consistent across various respiratory pathogens. Decreasing crowding is an important safety target beyond the COVID-19 pandemic to help to promote resident wellbeing and decrease the transmission of prevalent respiratory pathogens. Full-Text PDF Open Access

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.583
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.009
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 head0.098
GPT teacher head0.414
Teacher spread0.316 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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