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Record W2220394862 · doi:10.1136/jramc-2015-000541

Impact of personal protective equipment on clinical output and perceived exertion

2015· article· en· W2220394862 on OpenAlexaff
Shelly Lyn Maynard, Raymond Kao, D Craig

Bibliographic record

VenueJournal of the Royal Army Medical Corps · 2015
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsCanadian Armed ForcesWestern University
Fundersnot available
KeywordsMedicineRating of perceived exertionPerceived exertionPhysical therapyExertionPersonal protective equipmentCoronavirus disease 2019 (COVID-19)Internal medicineDiseaseHeart rateBlood pressure

Abstract

fetched live from OpenAlex

BACKGROUND AND AIM: Safe clinical care within Ebola Virus Disease Treatment Units (EVDTUs) mandate the use of personal protective equipment (PPE), comprising a fluid impermeable hooded suit, visor, gloves and rubber boots. The aim of this study was to assess the impact of this PPE on clinical personnel's performance in the EVDTU, Kerry Town, Sierra Leone. METHODS: An anonymous questionnaire was administered to healthcare professionals (HCPs) entering the EVDTU ward area (Red Zone (RZ)), during a 2-week period to assess perceived exertion using the Borg Rating of Perceived Exertion Scale. RESULTS: A total of 62 clinical episodes undertaken by 20 HCPs were analysed. There were no episodes of heat illness during the study. HCPs spent a median of 74 (IQR 55-95) minutes within the RZ. Median durations of RZ activity were similar throughout the 24 h period (p=0.22), but Borg scores were significantly higher between 11:00 and 14:59 compared with RZ entry between 15:00 and 10:59, respectively (12 (6-15), n=13; 8 (6-9), n=48; p=0.022). Rates of weight loss per minute spent within the RZ were significantly greater between 11:00 and 14:59 compared with 15:00-10:59, respectively (0.014 (0.009-0.023) kg/min, n=6; 0.007 (0.004-0.013) kg/min, n=37; p=0.037). CONCLUSIONS: Despite acclimatisation and proactive clinical tasking, HCPs in the EVDTU experienced significantly greater rates of weight loss and perceived exertion scores during the hottest times of the day. These findings should be considered by those planning healthcare facilities for future humanitarian missions where HCPs will provide clinical care in full PPE.

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)0.002
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 score0.362
Threshold uncertainty score0.428

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.111
GPT teacher head0.414
Teacher spread0.303 · 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

Citations27
Published2015
Admission routes1
Has abstractyes

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