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Record W3115529882 · doi:10.1186/s12913-020-06008-5

High turnover in clinical dietetics: a qualitative analysis

2021· article· en· W3115529882 on OpenAlexafffundabout
Sarah Hewko, Amirah Oyesegun, Samantha Clow, Charlene VanLeeuwen

Bibliographic record

VenueBMC Health Services Research · 2021
Typearticle
Languageen
FieldHealth Professions
TopicDietetics, Nutrition, and Education
Canadian institutionsUniversity of Prince Edward Island
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsWorkloadMedicineThematic analysisTurnoverBurnoutNursingQualitative researchHealth carePublic healthFamily medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Relationships between dietitians and other healthcare providers can impact the degree to which patient care is collaborative; inefficient communication can lead to suboptimal care. It takes time for multidisciplinary team members to build collaborative, trusting relationships. For this reason, frequent dietitian turnover is of concern. Consequences include fewer referrals to clinical dietetic services and limited provider continuity. The characteristics of clinical dietetic jobs associated with high turnover have not been identified. We predicted that managers would identify disease prestige as having an impact. In this study, we aimed to explore: 1) characteristics of clinical dietetic jobs associated with the highest turnover, and 2) consequences of high turnover on patients and managers of clinical dietitians. METHODS: Research assistants conducted semi-structured interviews with ten managers of clinical dietitians in the Canadian public healthcare system. We employed a constant comparative approach to thematic analysis. We classified themes related to turnover as either avoidable or unavoidable. RESULTS: Sub-themes under avoidable turnover included lack of manager support, growth opportunities, burnout/workload, tension/conflict and hours of work. Sub-themes under unavoidable turnover included life-stage/life-events and geography. We also identified themes related to consequences of turnover, including: burnout/workload, client/patient impact, tension/conflict, cost and gap-specific. As predicted, prestige was perceived as playing a role in triggering dietitian turnover. Managers observed high turnover resulting in low provider continuity and limiting patient access to dietitians. CONCLUSIONS: Managers of publicly-employed dietitians identified many factors as contributing to high turnover. Future prospective research, incorporating the objective measure of turnover and multi-method analysis of work characteristics and work setting, would be of value in the identification of characteristics of clinical dietetic jobs associated with high turnover and the consequences of high turnover on patients and managers of these staff.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0090.007
Scholarly communication0.0040.002
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.313
GPT teacher head0.654
Teacher spread0.341 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations30
Published2021
Admission routes3
Has abstractyes

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