MétaCan
Menu
Back to cohort
Record 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 on OpenAlexaffabout
Chris Nottingham, Bee Crews, Ye Li, Pouneh Dokouhaki, Feipeng Wu, Zhongzhen Zhao, Carmen Gherasim

Bibliographic record

VenueClinical Chemistry · 2024
Typearticle
Languageen
FieldVeterinary
TopicAnimal testing and alternatives
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPsychologyMedical educationMedicine

Abstract

fetched live from 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.

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)0.007
metaresearch head score (Gemma)0.029
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.179
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.283
GPT teacher head0.516
Teacher spread0.233 · 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
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueClinical ChemistrySame topicAnimal testing and alternativesFrench-language works237,207