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Skin Lesion Awareness Personal Application (SLAPA) - Investigating the impact of smartphone app on skin cancer knowledge and prevention behaviour in adults

Design and validation of the Skin Lesion Awareness Personal Application (SLAPA) - Investigating the impact of a comprehensive, patient-centered skin cancer smartphone app on skin cancer knowledge and prevention behaviour in adults

Status
Not yet recruiting
Phases
Unknown
Study type
Interventional
Source
ANZCTR
Registry ID
ACTRN12624000013561
Enrollment
200
Registered
2024-01-10
Start date
2024-02-01
Completion date
2024-04-01
Last updated
2024-01-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Brief summary

Skin cancer is the most common cancer in Aotearoa New Zealand, accounting for 80% of all new cancers. Our study aims to show that a free mobile application which can be easily distributed nationwide will improve people’s awareness about skin cancer and prevention behaviors. Individuals enrolled in our study will be randomly given a paper-based skin cancer information pamphlet or access to the SLAPA application. Online questionnaires will assess participants' knowledge about skin cancer and how often they engage in prevention behaviors both at the start of the study and after receiving the information.

Interventions

We will provide a randomized half of our cohort with the Skin Lesion Awareness Personal Application (SLAPA) mobile phone application. This application has been designed by the Plastic Surgical Department at Dunedin Hospital to help people learn about common skin lesions, teach them how to perform skin checks and prevent skin cancer. The app's information will be delivered through infographics, text and the use of clinical photos to demonstrate lesions. The sections of the app are common skin

We will provide a randomized half of our cohort with the Skin Lesion Awareness Personal Application (SLAPA) mobile phone application. This application has been designed by the Plastic Surgical Department at Dunedin Hospital to help people learn about common skin lesions, teach them how to perform skin checks and prevent skin cancer. The app's information will be delivered through infographics, text and the use of clinical photos to demonstrate lesions. The sections of the app are common skin lesions (covering melanoma, BCC, SCC, seborrheic keratosis, actinic keratosis, atypical naevus), prevention, self skin check, melanoma risk calculator, location-specific UV index, and how to seek help for skin lesions. The app also provides push notifications to a device that state the UV index and remind the user to protect themselves. Participants in the SLAPA arm of the study will be given instruction on how to download and register for the app on their personal smartphones or tablet. They will be asked to read the content of the app at least once during the study which will take approximately 30 minutes to review in its entirety and leave the SLAPA app on their phone for the duration of the study (3 months). Adherence/use of the intervention will be monitored through participants' self-reported questionnaires, which include questions about how often participants use the app in a week, approximate minutes of use a day and what their baseline familiarity with a smartphone is like. No app analytics will be used for the purpose of this study.

Sponsors

Dr Anne Collins
Lead SponsorIndividual

Study design

Allocation
Randomised controlled trial
Primary purpose
Educational / counselling / training
Masking
Open (masking not used)

Eligibility

Sex/Gender
All
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

Individuals who own smartphones AND are at high risk for skin cancer (individuals with previous T1A or greater melanoma and individuals immunocompromised by medications or haematological illnesses).

Exclusion criteria

Unable to consent for self. Younger than 18 years of age. Does not own a smartphone.

Outcome results

None listed

Source: ANZCTR · Data processed: Feb 4, 2026