Abstract
Objectives
Lab testing is a high-volume activity that is often overused, leading to wasted resources and inappropriate care. Improving test ordering practices in tertiary care involves deciding where to focus scarce intervention resources, but clear guidance on how to optimize these resources is lacking. We aimed to explore context-sensitive factors and processes that inform individual decisions about laboratory stewardship interventions by speaking to key interest holders in this area.
Methods
We conducted semi-structured interviews with test-ordering intervention development experts and authors of test-ordering guidance documents to explore five broad topics: 1) processes used to prioritize tests for intervention; 2) factors considered when deciding which tests to target; 3) measurement of these factors; 4) interventions selected; 5) suggestions for a framework to support these decisions. Transcripts were double coded using directed-content and thematic analysis.
Results
We interviewed 14 intervention development experts. Experts noted they frequently consider test volume, test value, and patient care when deciding on a test to target. Experts indicated that quantifying many relevant factors was challenging. Processes to support these decisions often involved examining local data, obtaining buy-in, and relying on an existing guideline. Suggestions for building a framework emphasized the importance of collaboration, consideration of context and resources, and starting with “easy wins” to gain support and experience.
Conclusions
Our study provides insight into the factors and processes experts consider when deciding which tests to target for intervention and can inform the development of a framework to guide the selection of tests for intervention and guideline development.
Funding source: Canadian Institutes of Health Research
Award Identifier / Grant number: #PJT 156031
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Research ethics: The study was approved by the Ottawa Health Science Network Research Ethics (OHSN-REB# 20180626-01H).
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Informed consent: Informed consent was obtained from all individuals included in this study.
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Author contributions: JCB, CM, and JP were responsible for the conception of this project and provided guidance and expertise throughout the entire project. EP, NH, and NMc conducted the interviews and data analysis. EP drafted the manuscript, and JCB, NH, CM, JP, and NMc provided critical input and revision of the manuscript. All authors reviewed and approved the final manuscript.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: The authors state no conflict of interest.
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Research funding: This work was supported by the Canadian Institutes of Health Research (CIHR) grant #PJT 156031. Funding bodies had no role in the design of the study, collection, analysis, interpretation of data, or in the writing of the manuscript.
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Data availability: The authors may be contacted for data and material requests. However, the data pertaining to individual participants will not be shared to protect participant privacy.
References
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Supplementary Material
This article contains supplementary material (https://doi.org/10.1515/cclm-2024-0948).
© 2024 Walter de Gruyter GmbH, Berlin/Boston
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