Melanoma Toolkit for Early Detection for Primary Care Clinicians
Author Information
Author(s): Diehl Kyra, Stoos Elizabeth, Becker Alyssa, Orfaly Victoria E., Nelson Jacob, Gillespie Jordan, Ng Justin, Tobey Tayler, Latour Emile, Ludzik Joanna, Berry Elizabeth G., Geller Alan C., Jacobe Heidi, Leitenberger Justin, McClanahan Danielle, Tran Jessica, Prasad Smriti, Mengden-Koon Stephanie, Nelson Kelly C., Petering Ryan, Verdieck Alex, Savory Stephanie, Smith Emily H., Tofte Susan, Weinstock Martin A., White Kevin, Wisco Oliver, Curiel-Lewandrowski Clara, Swetter Susan M., Witkowski Alexander M., Ferris Laura, Black Samantha, Xu Rebecca, Xu Shuai, Leachman Sancy
Primary Institution: Oregon Health & Science University
Hypothesis
Can an online educational toolkit improve primary care clinicians' ability to detect melanoma?
Conclusion
The toolkit significantly improved primary care clinicians' confidence and ability to identify malignant and benign skin lesions.
Supporting Evidence
- 8,683 primary care clinicians accessed the toolkit from 2019 to 2024.
- Participants showed significant improvements in confidence and lesion identification after training.
- 55 matched participants completed both pre- and post-training surveys.
Takeaway
This study created a toolkit to help doctors learn how to spot skin cancer better, and it worked! Doctors felt more sure about their skills after using it.
Methodology
An online educational program was developed, and participants completed pre- and post-surveys to assess changes in confidence and lesion identification.
Potential Biases
Potential enrollment bias due to a smaller sample size of highly motivated participants.
Limitations
The study had a small sample size for pre- and post-surveys and a significant drop-off in participants completing the entire curriculum.
Participant Demographics
Participants included 33 licensed healthcare clinicians and 22 students, with most clinicians in early-career stages.
Statistical Information
P-Value
p<0.001
Confidence Interval
95% CI: 3.6–6.9
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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