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Record W3123813818

Pandemic Planning for Hospital-Based Speech-Language Pathologists: Emerging Lessons from Coronavirus Disease

2020· article· en· W3123813818 on OpenAlexvenueaboutno aff
Jennifer C. Wong

Bibliographic record

VenueCanadian journal of speech-language pathology and audiology · 2020
Typearticle
Languageen
FieldMedicine
TopicTelemedicine and Telehealth Implementation
Canadian institutionsnot available
Fundersnot available
KeywordsPsycINFOWorkforcePandemicContext (archaeology)PsychologyMedicineNursingPublic relationsMEDLINEDiseaseCoronavirus disease 2019 (COVID-19)Political scienceInfectious disease (medical specialty)Pathology
DOInot available

Abstract

fetched live from OpenAlex

Coronavirus Disease is a novel infectious agent, for which a global pandemic was declared in March 2020 Regulatory bodies representing Canadian speech-language pathologists recommended suspending non-essential services or converting to telepractice/virtual practice where appropriate However, there is a lack of literature on surge or pandemic planning for speech-language pathologists working in hospital settings where face-to-face visits cannot be eliminated and are essential This discussion aims to address this gap by providing a systems-thinking approach to pandemic planning for speech-language pathology services This article uses the Staff, Space, and framework to promote workforce safety and stability in the context of complex hospital systems Main areas that speech-language pathology leaders should review with their teams include equipment, environment, staff areas of expertise, opportunities that support both work and home life stressors, potential supports for mental health, factors that may alleviate moral distress, and processes within the speech-language pathology team and within interprofessional teams Novel situations, such as that created by Coronavirus Disease, create situations that are challenging to individual clinicians, but also to broader teams and services This challenge necessitates transparent communication and a systems-thinking approach to review speech-language pathologists' complex work environments and protect teams' physical and mental health (PsycInfo Database Record (c) 2021 APA, all rights reserved) Abstract (French) La maladie a coronavirus est une nouvelle maladie infectieuse, pour laquelle une pandemie mondiale a ete declaree en mars 2020 Les organismes de reglementation qui representent les orthophonistes du Canada ont recommande de suspendre les services non essentiels ou d'offrir les services en telepratique lorsque cela s'averait pertinent Cependant, il y a un manque de litterature sur les plans de lutte contre les pandemies ou la planification en vue de periode d'intensification adaptes aux services offerts par les orthophonistes travaillant en milieu hospitalier, milieu ou les visites en personne ne peuvent etre eliminees et s'averent essentielles Le present article vise a combler ce manque d'informations en proposant une approche systemique pour les plans de lutte contre les pandemies adaptes aux services offerts en orthophonie Le cadre Stuff, Staff, Space, and Systems [materiel, personnel, espace et systemes] est utilise afin de favoriser la securite et la stabilite de la main-d'oeuvre dans un contexte de systemes hospitaliers complexes Les principaux aspects que les responsables des services d'orthophonie devraient examiner avec leurs equipes sont l'equipement, l'environnement, les domaines d'expertise de chaque professionnel, les options de soutien face aux differentes sources de stress au travail et a la maison, les ressources potentielles de soutien en sante mentale, les facteurs susceptibles d'attenuer la detresse morale, ainsi que les processus au sein de l'equipe d'orthophonistes et des equipes multidisciplinaires De nouvelles circonstances, comme celles provoquees par la pandemie de la maladie a coronavirus, creent des situations difficiles non seulement pour les cliniciens au plan individuel, mais egalement pour les equipes et les services La presente situation difficile necessite une communication transparente et une approche systemique pour examiner les environnements de travail complexes des orthophonistes et pour proteger la sante physique et mentale de ces equipes de professionnels (PsycInfo Database Record (c) 2021 APA, all rights reserved)

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)0.000
metaresearch head score (Gemma)0.001
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 score0.178
Threshold uncertainty score0.952

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.068
GPT teacher head0.382
Teacher spread0.313 · 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

Citations1
Published2020
Admission routes2
Has abstractyes

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