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Related Concept Videos

Skin Cancer01:30

Skin Cancer

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Skin cancer is a type of cancer that occurs when there is an abnormal growth of skin cells, usually triggered by damage to the DNA within the skin cells. It is primarily caused by exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds. Skin cancer is the most common type of cancer worldwide, and its incidence continues to rise.
Basal Cell Carcinoma (BCC): BCC is the most common type of skin cancer, accounting for about 80% of cases. It typically develops in...
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A Nurse-Led Multi-Disciplinary Model Enhancing Skin Cancer Early Detection in Regional/Rural Australia: Project Check

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Nurse-led skin checks in rural Australia are feasible and acceptable, improving early skin cancer detection. This model trains local nurses, enhancing workforce capacity for underserved communities.

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Australiadermoscopymulti‐disciplinary careprimary care nursesrural healthscreeningskin cancer

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Area of Science:

  • Public Health
  • Dermatology
  • Nursing

Background:

  • Rising skin cancer incidence, particularly melanoma, disproportionately affects regional and rural Australia.
  • Metropolitan areas have lower rates compared to underserved rural and regional locations, which are projected to account for 47% of melanomas.
  • There is a need for accessible early detection models in these high-risk, underserved populations.

Purpose of the Study:

  • To evaluate the feasibility and acceptability of a nurse-led, multi-disciplinary early skin cancer detection model (Project Check Mate) in regional and rural Australia.
  • To assess the training and skill application of local nurses in performing skin checks and using dermoscopy.
  • To determine the acceptance of the model among nurses, General Practitioners (GPs), and consumers.

Main Methods:

  • A pragmatic evaluation employing quantitative and qualitative methods.
  • Three nurse-led pop-up skin cancer clinics were established at rural community events in South Australia.
  • Nurses received training in skin checks and dermoscopy, working alongside experienced nurse dermoscopists, with Artificial Intelligence (AI) utilized as a learning tool.

Main Results:

  • 13 out of 14 nurses completed training, reporting increased confidence in dermoscopy and image capture.
  • 509 total body skin checks were conducted, with a quarter of consumers identified as above-average risk for melanoma.
  • The model was highly accepted, with 99% of consumers willing to use the service again and GPs expressing support; AI was valued for learning but not clinical decisions.

Conclusions:

  • Nurse-led skin checks, in collaboration with GPs and communities, are a feasible and acceptable method for improving skin cancer assessment access in rural and regional settings.
  • Training local nurses builds sustainable workforce capacity for early skin cancer detection.
  • This model offers a promising approach for risk-tailored skin cancer assessments in under-served Australian populations.