Randomized Controlled Trial of a Computerized Decision Aid on Adjuvant Radioactive Iodine Treatment for Patients With Early-Stage Papillary Thyroid Cancer

Author:

Sawka Anna M.1,Straus Sharon1,Rotstein Lorne1,Brierley James D.1,Tsang Richard W.1,Asa Sylvia1,Segal Phillip1,Kelly Catherine1,Zahedi Afshan1,Freeman Jeremy1,Solomon Philip1,Anderson Jennifer1,Thorpe Kevin E.1,Gafni Amiram1,Rodin Gary1,Goldstein David P.1

Affiliation:

1. Anna M. Sawka, Lorne Rotstein, James D. Brierley, Richard W. Tsang, Sylvia Asa, Phillip Segal, Gary Rodin, and David P. Goldstein, University Health Network and University of Toronto; Sharon Straus and Jennifer Anderson, St Michael's Hospital and University of Toronto; Catherine Kelly and Afshan Zahedi, Women's College Hospital and University of Toronto; Jeremy Freeman, Mount Sinai Hospital and University of Toronto; Philip Solomon, University of Toronto; Kevin E. Thorpe, Keenan Research Centre, Li Ka...

Abstract

Purpose Decision-making on adjuvant radioactive iodine (RAI) treatment for early-stage papillary thyroid cancer (PTC) is complex because of uncertainties in medical evidence. Using a parallel, two-arm, randomized, controlled trial design, we examined the impact of a patient-directed computerized decision aid (DA) on the medical knowledge and decisional conflict in patients with early-stage PTC considering the choice of being treated with adjuvant RAI or not. The DA describes the rationale, possible risks and benefits, and the medical evidence uncertainty relating to the choice. Patients and Methods We recruited 74 patients with early-stage PTC after thyroidectomy. Participants were assigned by using 1:1 central computerized randomization to either the DA group with usual care (intervention) or usual care alone (control). Medical knowledge about PTC and RAI treatment (the primary outcome), as well as decisional conflict (a secondary outcome), were measured by using validated questionnaires, and the respective scores were compared between groups. Results Consistent with PTC epidemiology, 83.8% (62 of 74) of the participants were women, and the mean age was 45.8 years (range, 19 to 79 years). Medical knowledge about PTC and RAI treatment was significantly greater and decisional conflict was significantly reduced in the DA group compared with the control group (respective P values < .001). The use of adjuvant RAI treatment was not significantly different between groups (DA group, 11 of 37 [29.7%]; controls, seven of 37 [18.9%]; P = .278). Conclusion A computerized DA improves informed decision making in patients with early-stage PTC who are considering adjuvant RAI treatment. DAs are useful for patients facing decisions subject to medical evidence uncertainty.

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Cancer Research,Oncology

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1. Decision aids for people facing health treatment or screening decisions;Cochrane Database of Systematic Reviews;2024-01-29

2. Digital health in head and neck cancer: a systematic review;The Journal of Laryngology & Otology;2023-04-20

3. Current Controversies in Low-Risk Differentiated Thyroid Cancer: Reducing Overtreatment in an Era of Overdiagnosis;The Journal of Clinical Endocrinology & Metabolism;2022-11-04

4. Radioactive Iodine: Recognizing the Need for Risk-Benefit Balance;Journal of Clinical Oncology;2022-05-01

5. Utility of electronic decision-support tools for patients with head and neck cancer: A scoping review;Knowledge Management & E-Learning: An International Journal;2021-12-30

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