Adherence to melanoma screening and surveillance skin check schedules tailored to personal risk.
Methmi M PereraAmelia K SmitAndrea L SmithBruna GalloIvy TanDavid EspinozaBela I LaginhaPascale GuiteraLinda K MartinAmelia K SmitPublished in: International journal of cancer (2024)
Population-wide skin cancer screening is not currently recommended in most countries. Instead, most clinical guidelines incorporate risk-based recommendations for skin checks, despite limited evidence around implementation and adherence to recommendations in practice. We aimed to determine adherence to personal risk-tailored melanoma skin check schedules and explore reasons influencing adherence. Patients (with/without a previous melanoma) attending tertiary dermatology clinics at the Melanoma Institute Australia, Sydney, Australia, were invited to complete a melanoma risk assessment questionnaire via iPad and provided with personal risk information alongside a risk-tailored skin check schedule. Data were collected from the risk tool, clinician-recorded data on schedule deviations, and appointment booking system. Post-consultation, we conducted semi-structured interviews with patients and clinic staff. We used a convergent segregated mixed methods approach for analysis. Interviews were audio recorded, transcribed and data were analysed thematically. Participant data were analysed from clinic records (n = 247) and interviews (n = 29 patients, 11 staff). Overall, there was 62% adherence to risk-tailored skin check schedules. In cases of non-adherence, skin checks tended to occur more frequently than recommended. Decisions to deviate were similarly influenced by patients (44%) and clinicians (56%). Themes driving non-adherence among patients included anxiety and wanting autonomy around decision-making, and among clinicians included concerns around specific lesions and risk estimate accuracy. There was moderate adherence to a clinical service program of personal risk-tailored skin check recommendations. Further adherence may be gained by incorporating strategies to identify and assist patients with high levels of anxiety and supporting clinicians to communicate risk-based recommendations with patients.
Keyphrases
- end stage renal disease
- risk assessment
- ejection fraction
- newly diagnosed
- primary care
- palliative care
- prognostic factors
- skin cancer
- randomized controlled trial
- soft tissue
- public health
- type diabetes
- mental health
- clinical practice
- glycemic control
- adipose tissue
- wound healing
- clinical trial
- big data
- quality improvement
- study protocol
- patient reported outcomes
- patient reported
- insulin resistance
- machine learning
- deep learning