Grants per year
Personal profile
Research Interests
The body of work explores early detection of melanoma by skin self-examination (SSE) by those at risk to develop a melanoma. This research evolved from qualitative research in focus group testing of rulers and magnifying glasses to assist with SSE to a randomized trial of the educational and skills training intervention with qualitative measures by self-reported surveys and diaries. This randomized controlled trial demonstrated an efficacious in- person skills training program for melanoma patients and their skin check partners. Now, a new group of melanoma patients and their skin check partners are trained remotely and followed for 18 months. In order to improve the early detection of melanoma by physicians providing care, Dr. Robinson's research seeks to move beyond the usual didactic lectures with online mastery learning. This interactive learning will enhance the reliability of healthcare provided by primary care physicians via opportunistic screening. Dr. Robinson's research interest over the last decade has also included prevention of skin cancer by harm reduction messages and educational interventions with teens and young adults with a particular focus on reducing indoor tanning and sun protection. Recently her sun protection research was expanded to include wearable UV sensors to improve awareness of the amount of UV exposure an at-risk individual receives. She is working with a team of researchers to refine the UV app and sensor to deliver actionable messages to at-risk melanoma patients and their families.
Primary and secondary prevention of skin cancer , especially melanoma
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Medicine, MD, University of Maryland
… → 1974
Research interests keywords
- Behavioral Medicine
- Graduate Medical Education
- Medical Education
- Post-Graduate Medical Education
- Simulation
- Skin Cancer
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Network
Grants
- 13 Finished
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Melanoma Early Detection RCT with Smartphones, Cognitive Computing & Family Social Support
Vignet Inc., National Cancer Institute
1/20/17 → 1/19/19
Project: Research project
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A comparison of interventions to teach patients skin self-examination
Robinson, J. K. & Finkel, E. J.
4/1/16 → 3/31/21
Project: Research project
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Supplement for A comparison of interventions to teach patients skin self-examination
Robinson, J. K. & Alshurafa, N.
4/1/16 → 3/31/21
Project: Research project
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Training primary care physicians to perform melanoma opportunistic surveillance
Robinson, J. K. & Martin, G. J.
3/1/15 → 2/28/18
Project: Research project
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Helping All Children be Safe Outdoors with Sun Protection
Pediatric Sun Protection Foundation, Inc.
2/13/15 → 1/31/19
Project: Research project
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Qualitative exploration of melanoma awareness in black people in the USA
de Vere Hunt, I., Owen, S., Amuzie, A., Nava, V., Tomz, A., Barnes, L., Robinson, J. K., Lester, J., Swetter, S. & Linos, E., Jan 11 2023, In: BMJ open. 13, 1, p. e066967Research output: Contribution to journal › Article › peer-review
Open Access -
Sun exposure and protection practices among Florida college marching band members and alumni: a cross-sectional study
Wyant, W. A., Lee, D. J., Robinson, J. K., Kirsner, R. S. & Pan, Y., 2022, (Accepted/In press) In: Archives of Dermatological Research.Research output: Contribution to journal › Article › peer-review
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Incorporation of dermoscopy improves inter-observer agreement among dermatopathologists in histologic assessment of melanocytic neoplasms
Shi, K., Compres, E., Walton, K. E., Mohan, L. S., Zhang, B., Panah, E., Quan, V. L., Garfield, E. M., Khan, A. U., Kim, D., Yazdan, P., Robinson, J. K. & Gerami, P., Mar 2021, In: Archives of Dermatological Research. 313, 2, p. 101-108 8 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Melanoma detection by skin self-examination targeting at-risk women: A randomized controlled trial with telemedicine support for concerning moles
Robinson, J. K., Wahood, S., Ly, S., Kirk, J., Yoon, J., Sterritt, J., Gray, E. & Kwasny, M., Dec 2021, In: Preventive Medicine Reports. 24, 101532.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Melanoma Skin Self-Examination Education During Mammography: Health Burden of Women Impairs Implementation
Robinson, J. K., Brown, Z. & Spring, B., Aug 2021, In: Journal of Cancer Education. 36, 4, p. 858-864 7 p.Research output: Contribution to journal › Article › peer-review
Datasets
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The easy-to-hard training advantage with real-world medical images
Roads, B. D. (Creator), Xu, B. (Contributor), Robinson, J. K. (Creator) & Tanaka, J. W. (Creator), figshare, 2018
DOI: 10.6084/m9.figshare.c.4252247.v1, https://figshare.com/collections/The_easy-to-hard_training_advantage_with_real-world_medical_images/4252247/1
Dataset
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Additional file 1: of The easy-to-hard training advantage with real-world medical images
Roads, B. D. (Creator), Xu, B. (Contributor), Robinson, J. K. (Creator) & Tanaka, J. W. (Creator), figshare, 2018
DOI: 10.6084/m9.figshare.7159313, https://figshare.com/articles/Additional_file_1_of_The_easy-to-hard_training_advantage_with_real-world_medical_images/7159313
Dataset
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Additional file 1: of The easy-to-hard training advantage with real-world medical images
Roads, B. D. (Creator), Xu, B. (Contributor), Robinson, J. K. (Creator) & Tanaka, J. W. (Creator), figshare, 2018
DOI: 10.6084/m9.figshare.7159313.v1, https://springernature.figshare.com/articles/Additional_file_1_of_The_easy-to-hard_training_advantage_with_real-world_medical_images/7159313/1
Dataset
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The easy-to-hard training advantage with real-world medical images
Roads, B. D. (Creator), Xu, B. (Contributor), Robinson, J. K. (Creator) & Tanaka, J. W. (Creator), figshare, 2018
DOI: 10.6084/m9.figshare.c.4252247, https://figshare.com/collections/The_easy-to-hard_training_advantage_with_real-world_medical_images/4252247
Dataset