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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 OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

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.

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)0.016
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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