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Record W4414218943 · doi:10.1136/ebm-2025-pod.47

047 Barriers and facilitators to appropriate thyroid function testing: a provincial mixed-methods study

2025· article· en· W4414218943 on OpenAlexaffabout
Aneesa Khan, Vernon Curran, Jessica Otte, Vivian Lam, Sana Ghaznavi, Kate Campbell, Colin R. Dormuth, Ken Bassett, I fan Kuo, Janet Simons, Craig Ivany, Anshula Ambasta

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicHealthcare Systems and Public Health
Canadian institutionsProvincial Health Services AuthorityMinistry of HealthUniversity of CalgaryMemorial University of NewfoundlandUniversity of British Columbia
Fundersnot available
KeywordsFocus groupThematic analysisThyroid functionTest (biology)Thyroid function testsHealth careSurvey data collectionSurvey research

Abstract

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Objectives Overdiagnosis of thyroid dysfunction is closely linked with thyroid function testing practices. Thyroid function testing in healthcare is common and unfortunately, often unnecessary. Guidelines outline that thyroid tests should not be carried out on asymptomatic patients and testing for thyroid stimulating hormone in these instances may lead to the detection of subclinical disease. To prevent overdiagnosis, de-implementation efforts must be made to reduce low-value use of thyroid function testing. To understand the underlying contributors to these testing practices, we performed a mixed-methods provincial study, to explore underlying clinical and social barriers and facilitators to appropriate testing. To guide future de-implementation, we mapped these factors onto the combined Theoretical Domains Framework (TDF) and Capability, Opportunity, Motivation – Behaviour (COM-B) model. Method Using a mixed-methods approach, we conducted a province-wide survey of healthcare practitioners (HCPs) on thyroid function testing in British Columbia, Canada. Interested survey respondents were invited to attend focus group sessions. A semi-structured focus group guide was developed based on survey responses. The surveys and focus groups were conducted between June to October 2023. The survey quantitative data was summarized using simple statistics and the open-ended survey questions were summarized using summative content analysis. The survey results informed the design of the focus group guide. All focus group sessions were recorded and transcribed verbatim. The transcripts were analyzed using thematic analysis. The results were then synthesised and mapped onto the TDF COM-B model. Results 230 respondents completed the survey and 50 practitioners attended 6 focus groups. Results showed that social influences, namely patient expectations, driven by internet searches, were key influences over HCPs ordering thyroid function tests, linking to the opportunity section of TDF COM-B. Requests for specific tests made by alternative medicine practitioners, that differ from standard practice, caused patient confusion regarding care responsibility, adding to the social influence of patients. Further, the opportunity to change was influenced by system level factors such as limited access to both previous test results and specialists in remote areas. The capability of HCPs centred around knowledge gaps, due to lack of clear guidance regarding testing for specific patient groups. HCPs were motivated to change their thyroid testing practices. HCPs identified leveraging information systems (Opportunity), providing personalized feedback (Opportunity), and creating more educational resources (Opportunity and Capability) as facilitators of behaviour change towards appropriate thyroid testing. Conclusions To reduce the risk of overdiagnosis of thyroid dysfunction, interventions must target specific barriers to appropriate thyroid function testing. Using the combined TDF and COM-B, we established specific barriers and facilitators within the clinical and social context of thyroid testing in British Columbia. Our findings showed that healthcare providers were motivated to make changes to their thyroid testing practices. We found that changes could be made to their capability to change via educational resources and opportunity to change could be improved by introducing patient information materials and improving information systems. Our study outlines a systematic way forward for the design of tailored, multi-level, de-implementation interventions towards reducing unnecessary thyroid testing. Future studies should focus on implementing and evaluating such intervention elements to investigate if improvements can be made to thyroid testing practices in the province.

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)0.009
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.350
Threshold uncertainty score0.705

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.016
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0050.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.025
GPT teacher head0.386
Teacher spread0.361 · 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 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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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