Home How do experts determine where to intervene on test ordering? An interview study
Article
Licensed
Unlicensed Requires Authentication

How do experts determine where to intervene on test ordering? An interview study

  • Eyal Podolsky , Natasha Hudek , Nicola McCleary , Christopher McCudden , Justin Presseau and Jamie C. Brehaut EMAIL logo
Published/Copyright: September 23, 2024

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.


Corresponding author: Jamie C. Brehaut, PhD, Senior Scientist, Centre for Practice Changing Research, Ottawa Hospital Research Institute, Methodological and Implementation Research (MIR) Program, The Ottawa Hospital, General Campus, 501 Smyth Road, Box 201B, Ottawa, Ontario, K1H 8L6, Canada; and School of Epidemiology and Public Health, University of Ottawa, 451 Smyth Road, Ottawa, ON, K1H 8M5, Canada, E-mail:

Award Identifier / Grant number: #PJT 156031

  1. Research ethics: The study was approved by the Ottawa Health Science Network Research Ethics (OHSN-REB# 20180626-01H).

  2. Informed consent: Informed consent was obtained from all individuals included in this study.

  3. 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.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. 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.

  7. 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

1. Müskens, JLJM, Kool, RB, van Dulmen, SA, Westert, GP. Overuse of diagnostic testing in healthcare: a systematic review. BMJ Qual Saf 2022;31:54–63. https://doi.org/10.1136/bmjqs-2020-012576.Search in Google Scholar PubMed PubMed Central

2. Chalmers, K, Smith, P, Garber, J, Gopinath, V, Brownlee, S, Schwartz, AL, et al.. Assessment of overuse of medical tests and treatments at US hospitals using medicare claims. JAMA Netw Open 2021;4:E218075. https://doi.org/10.1001/jamanetworkopen.2021.8075.Search in Google Scholar PubMed PubMed Central

3. Spoyalo, K, Lalande, A, Rizan, C, Park, S, Simons, J, Dawe, P, et al.. Patient, hospital and environmental costs of unnecessary bloodwork: capturing the triple bottom line of inappropriate care in general surgery patients. BMJ Open Qual 2023;12. https://doi.org/10.1136/bmjoq-2023-002316.Search in Google Scholar PubMed PubMed Central

4. Shaik, T, Mahmood, R, Kanagala, SG, Kaur, H, Mendpara, V, Gupta, V, et al.. Lab testing overload: a comprehensive analysis of overutilization in hospital-based settings. Proc (Bayl Univ Med Cent) 2024;37:312–6. https://doi.org/10.1080/08998280.2023.2288788.Search in Google Scholar PubMed PubMed Central

5. Choosing Wisely Canada. Clinician recommendations [Online]. http://www.choosingwiselycanada.org/recommendations/ [Accessed 10 Apr 2019].Search in Google Scholar

6. National Institute for Health and Care Excellence. Developing NICE guidelines: the manual [Internet]. London: National Institute for Health and Care Excellence (NICE); 2015. Process and Methods Guides No. 20.Search in Google Scholar

7. Choosing Wisely Canada. Critical care: recommendations [Online]. http://www.choosingwiselycanada.org/critical-care/ [Accessed 10 Apr 2019].Search in Google Scholar

8. Podolsky, E, Hudek, N, McCudden, C, Presseau, J, Yanikomeroglu, S, Brouwers, M, et al.. Choosing which in-hospital laboratory tests to target for intervention: a scoping review. Clin Chem Lab Med 2023;61:388–401. https://doi.org/10.1515/cclm-2022-0910.Search in Google Scholar PubMed PubMed Central

9. Tong, A, Sainsbury, P, Craig, J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care 2007;19:349–57. https://doi.org/10.1093/intqhc/mzm042.Search in Google Scholar PubMed

10. Corbin, J, Strauss, A. Basics of qualitative research: techniques and procedures for developing grounded theory, 3rd ed. Thousand Oaks, CA: Sage Publications, Inc.; 2008.10.4135/9781452230153Search in Google Scholar

11. Francis, JJ, Johnston, M, Robertson, C, Glidewell, L, Entwistle, V, Eccles, MP, et al.. What is an adequate sample size? Operationalising data saturation for theory-based interview studies. Psychol Health 2010;25:1229–45. https://doi.org/10.1080/08870440903194015.Search in Google Scholar PubMed

12. Beriault, DR, Gilmour, JA, Hicks, LK. Overutilization in laboratory medicine: tackling the problem with quality improvement science. Crit Rev Clin Lab Sci 2021;58:430–46. https://doi.org/10.1080/10408363.2021.1893642.Search in Google Scholar PubMed

13. White, TE, Wong, WB, Janowiak, D, Hilborne, LH. Strategies for laboratory professionals to drive laboratory stewardship. Pract Lab Med 2021;26. https://doi.org/10.1016/j.plabm.2021.e00249.Search in Google Scholar PubMed PubMed Central

14. Carrigan, I, Ma, IWY, Ambasta, A. A framework for purposeful utilization of laboratory tests in hospitalized patients. Am J Med 2022;135:278–80. https://doi.org/10.1016/j.amjmed.2021.08.019.Search in Google Scholar PubMed

15. Eaton, KP, Levy, K, Soong, C, Pahwa, AK, Petrilli, C, Ziemba, JB, et al.. Evidence-based guidelines to eliminate repetitive laboratory testing. JAMA Intern Med 2017;177:1833–9. https://doi.org/10.1001/jamainternmed.2017.5152.Search in Google Scholar PubMed

16. Michie, S, Richardson, M, Johnston, M, Abraham, C, Francis, J, Hardeman, W, et al.. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med 2013;46:81–95. https://doi.org/10.1007/s12160-013-9486-6.Search in Google Scholar PubMed

17. Johnston, M, Carey, RN, Connell Bohlen, LE, Johnston, DW, Rothman, AJ, De Bruin, M, et al.. Development of an online tool for linking behavior change techniques and mechanisms of action based on triangulation of findings from literature synthesis and expert consensus. Transl Behav Med 2021;11:1049–65. https://doi.org/10.1093/tbm/ibaa050.Search in Google Scholar PubMed PubMed Central


Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/cclm-2024-0948).


Received: 2024-06-13
Accepted: 2024-09-05
Published Online: 2024-09-23
Published in Print: 2025-02-25

© 2024 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Editorials
  3. Multi-cancer early detection: searching for evidence
  4. High sensitivity cardiac troponin assays, rapid myocardial infarction rule-out algorithms, and assay performance
  5. Reviews
  6. Consensus statement on extracellular vesicles in liquid biopsy for advancing laboratory medicine
  7. Copeptin as a diagnostic and prognostic biomarker in pediatric diseases
  8. Opinion Papers
  9. The Unholy Grail of cancer screening: or is it just about the Benjamins?
  10. Critical appraisal of the CLSI guideline EP09c “measurement procedure comparison and bias estimation using patient samples”
  11. Tumor markers determination in malignant pleural effusion: pearls and pitfalls
  12. Contribution of laboratory medicine and emerging technologies to cardiovascular risk reduction via exposome analysis: an opinion of the IFCC Division on Emerging Technologies
  13. Guidelines and Recommendations
  14. Recommendations for European laboratories based on the KDIGO 2024 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease
  15. Genetics and Molecular Diagnostics
  16. Expanded carrier screening for 224 monogenic disease genes in 1,499 Chinese couples: a single-center study
  17. General Clinical Chemistry and Laboratory Medicine
  18. How do experts determine where to intervene on test ordering? An interview study
  19. New concept for control material in glucose point-of-care-testing for external quality assessment schemes
  20. Vitamin B12 deficiency in newborns: impact on individual’s health status and healthcare costs
  21. Analytical evaluation of eight qualitative FIT for haemoglobin products, for professional use in the UK
  22. Colorimetric correcting for sample concentration in stool samples
  23. Reference Values and Biological Variations
  24. Assessment of canonical diurnal variations in plasma glucose using quantile regression modelling and Chronomaps
  25. Inconsistency in ferritin reference intervals across laboratories: a major concern for clinical decision making
  26. Establishing the TSH reference intervals for healthy adults aged over 70 years: the Australian ASPREE cohort study
  27. Hematology and Coagulation
  28. The EuroFlow PIDOT external quality assurance scheme: enhancing laboratory performance evaluation in immunophenotyping of rare lymphoid immunodeficiencies
  29. Clinical value of smear review of flagged samples analyzed with the Sysmex XN hematology analyzer
  30. Cardiovascular Diseases
  31. Evidence for stability of cardiac troponin T concentrations measured with a high sensitivity TnT test in serum and lithium heparin plasma after six-year storage at −80 °C and multiple freeze-thaw cycles
  32. Letters to the Editor
  33. Impact of high-sensitivity cardiac troponin I assay imprecision on the safety of a single-sample rule-out approach for myocardial infarction
  34. Why is single sample rule out of non-ST elevation myocardial infarction using high-sensitivity cardiac troponin T safe when analytical imprecision is so high? A joint statistical and clinical demonstration
  35. Iron deficiency and iron deficiency anemia in transgender populations: what’s different?
  36. The information about the metrological traceability pedigree of the in vitro diagnostic calibrators should be improved: the case of plasma ethanol
  37. Time to refresh and integrate the JCTLM database entries for total bilirubin: the way forward
  38. Navigation between EQA and sustainability
  39. C-terminal alpha-1-antitrypsin peptides as novel predictor of hospital mortality in critically ill COVID-19 patients
  40. Neutralizing antibodies against KP.2 and KP.3: why the current vaccine needs an update
  41. A simple gatekeeping intervention improves the appropriateness of blood urea nitrogen testing
  42. Congress Abstracts
  43. 16ª Reunião Científica da Sociedade Portuguesa de Medicina Laboratorial - SPML
Downloaded on 10.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/cclm-2024-0948/html
Scroll to top button