Trial reportBMC medical informatics and decision making2015
Exploring the relationship between patients' information preference style and knowledge acquisition process in a computerized patient decision aid randomized controlled trial.
Trial report in BMC medical informatics and decision making, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 6 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Decision Aid on Radioactive Iodine Treatment for Early Stage Papillary Thyroid Cancer (Randomized Controlled Trial)
Use of a Decision Aid to Resolve Uncertainty About Radioactive Iodine Treatment in Patients With Intermediate Risk Thyroid Cancer: The Radiance Trial
Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Decision aids for people facing health treatment or screening decisions.The Cochrane database of systematic reviews · 2024Pooled it
- Pooled it
- Trial
- Patient Perspectives Toward a Decision Aid for Radioactive Iodine Treatment for Intermediate Risk Thyroid Cancer.International journal of behavioral medicine · 2025Article
- New Performance Measurement Framework for Realizing Patient-Centered Clinical Decision Support: Qualitative Development Study.Journal of medical Internet research · 2025Article
- Advances in Clinical Decision Support: Highlights of Practice and the Literature 2015-2016.Yearbook of medical informatics · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundWe have shown in a randomized controlled trial that a computerized patient decision aid (P-DA) improves medical knowledge and reduces decisional conflict, in early stage papillary thyroid cancer patients considering adjuvant radioactive iodine treatment. Our objectives were to examine the relationship between participants' baseline information preference style and the following: 1) quantity of detailed information obtained within the P-DA, and 2) medical knowledge.
methodsWe randomized participants to exposure to a one-time viewing of a computerized P-DA (with usual care) or usual care alone. In pre-planned secondary analyses, we examined the relationship between information preference style (Miller Behavioural Style Scale, including respective monitoring [information seeking preference] and blunting [information avoidance preference] subscale scores) and the following: 1) the quantity of detailed information obtained from the P-DA (number of supplemental information clicks), and 2) medical knowledge. Spearman correlation values were calculated to quantify relationships, in the entire study population and respective study arms.
resultsIn the 37 P-DA users, high monitoring information preference was moderately positively correlated with higher frequency of detailed information acquisition in the P-DA (r = 0.414, p = 0.011). The monitoring subscale score weakly correlated with increased medical knowledge in the entire study population (r = 0.268, p = 0.021, N = 74), but not in the respective study arms. There were no significant associations with the blunting subscale score.
conclusionsIndividual variability in information preferences may affect the process of information acquisition from computerized P-DA's. More research is needed to understand how individual information preferences may impact medical knowledge acquisition and decision-making.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.