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N/A N=1,121 Basic Science

PROJECT 2 EXAMPLE: Feedback X Prevalence Using Dermatology Stimuli

Decision Making

Enrolled (actual)
1,121
Serious AEs
Results posted
Oct 2022
Primary outcome: Primary: Change in D' Between Pairs of Blocks. — -0.138; .0754; 0.023; -.129 z-score

Study Design & Population

Study type
Interventional
Phase
N/A
Interventions
Feedback (Behavioral); Prevalence (Behavioral)
Age
Adult, Older Adult · 18+ yrs
Sex
All
Sponsor
Brigham and Women's Hospital
Primary completion
Jun 2021

Outcome Measures

OutcomeResultp-value
PRIMARY
Change in D' Between Pairs of Blocks.
-0.138; .0754; 0.023; -.129; -0.0654; -0.139
PRIMARY
Change in Criterion Between Pairs of Blocks.
0.0488; 0.00147; -0.026; -0.0582; 0.182; 0.131

Summary

Imagine that a dermatologist spends the morning seeing patients who have been referred for suspicion of skin cancer. Many of them do, in fact, have skin lesions that require treatment. For this set of patients, disease 'prevalence' would be high. Suppose that the next task is to spend the afternoon giving annual screening exams to members of the general population. Here disease prevalence will be low. Would the morning's work influence decisions about patients in the afternoon? It is known from other contexts that recent history can influence current decisions and that target prevalence has an impact on decisions. In this study, decisions were decisions about skin lesions from individuals with varying degrees of expertise, using an online, medical imaging labelling app (DiagnosUs). This allowed examination of the effects of feedback history and prevalence in a single study. Blocks of trials could be of low or high prevalence, with or without feedback. Over 300,000 individual judgements were collected. (taken from Wolfe, J. M. (2022). How one block of trials influences the next: Persistent effects of disease prevalence and feedback on decisions about images of skin lesions in a large online study. . Cognitive Research: Principles and Implications (CRPI), 7, 10. doi: https://doi.org/10.1186/s41235-022-00362-0

Eligibility Criteria

Inclusion Criteria

  • All welcome to enroll on line

Exclusion Criteria

  • Under 18 yrs
View full record on ClinicalTrials.gov →

Data sourced from ClinicalTrials.gov (NCT05244122). Outcome figures and adverse-event rates are extracted automatically from the registry's posted results and are provided for clinician reference, not as a substitute for the primary publication.

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