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Enregistrement W4403071329 · doi:10.1093/clinchem/hvae106.181

A-183 Examination of the Roles and Responsibilities of Clinical Chemists as Determined by an International Peer Response-Based Survey

2024· article· en· W4403071329 sur OpenAlexaffabout
Chris Nottingham, Bee Crews, Ye Li, Pouneh Dokouhaki, Feipeng Wu, Zhongzhen Zhao, Carmen Gherasim

Notice bibliographique

RevueClinical Chemistry · 2024
Typearticle
Langueen
DomaineVeterinary
ThématiqueAnimal testing and alternatives
Établissements canadiensUniversity of Saskatchewan
Organismes subventionnairesnon disponible
Mots-clésPsychologyMedical educationMedicine

Résumé

récupéré en direct d'OpenAlex

Abstract Background Doctoral-level clinical chemists (also termed clinical biochemists) have unique, broad roles in laboratory medicine spanning numerous clinical specialties. However, the full scope of responsibilities for a clinical chemist is not well understood, and institutional recognition and support varies. We sought to better understand the roles and responsibilities of practicing clinical chemists through distribution of an online survey designed to examine work-related responsibilities and other key factors related to job satisfaction. Survey results demonstrate the value of clinical chemists and can be used to promote parity within the profession. Methods Survey data was collected for 5 weeks from 10/10/2022-11/14/2022. The survey was targeted towards individuals holding doctoral level degrees (MD, PhD or MD/PhD), and consisted of 41 questions related to demographics, compensation, duties/responsibilities, and institutional support. Data analysis focused on responses from full-time clinical chemists located in the US and Canada (n=223/298 total respondents). Results Survey responses included male (n=109) and female (n=109) clinicians from all career stages (early <10y, n=101; mid 10-20y, n=63; late >20y, n=59). Clinical chemistry was the primary specialty reported (69%), followed by clinical pathology (16%), with 55% of responses reporting more than one specialty of practice, most often toxicology (21%). Multiple institution types (academic, community, reference laboratory, other) and academic career tracks (clinical, education, research, other) were represented; Most respondents were based in an academic hospital laboratory (n=131/223). Self-reported daily working hours varied by gender, years in practice, job duties and institutional setting; Females reported working more hours than males, working hours increased with years in practice, and the academic hospital setting reported the longest working hours, as did those on an ‘Education’ track. Responsibilities were quantified based on time spent per week; Clinical service represented the greatest time spent per week (majority result, 20-40h/week), followed by administrative (1-20h/week), research (<1-10h/week), teaching (<1-10h/week) and CE (<1-10h/week) duties. Support for clinical responsibilities was assessed further; 69% of respondents felt they had adequate time to perform clinical responsibilities, 55% reported access to adequate resources to perform clinical responsibilities and 51% reported feeling ‘Moderately’ or ‘Very’ stressed by clinical workload assignment. Top reasons for feeling overwhelmed included ‘Understaffing or inadequate support staff’ (n=113 responses), ‘Increased volume of work or caseload’ (n=73 responses) and ‘Lack of IT support to make necessary changes/improvements’ (n=70 responses). Resource quality was individually rated; Medical technologists, research technologists/scientists, LIS support and research support received a ‘Less than adequate’ rating by the majority of respondents, while compensation, administrative support and equipment received majority ‘Adequate’ ratings. Conclusions Clinical chemists work in a wide range of healthcare settings with unique career tracks, although the majority of work hours are devoted to provision of clinical service regardless of role definition. Most or all prioritize clinical work due to limited resources, which can limit research time and academic contributions. Clinical responsibilities are tied to feelings of stress and overwhelm in more than half of the survey population and could be reduced with improved quality and/or quantity of staff support.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,029
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,179
Score d'incertitude au seuil0,979

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0070,029
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,283
Tête enseignante GPT0,516
Écart entre enseignants0,233 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission2
Résumé présentoui

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