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Background: The increasing group of melanoma survivors reports multiple unmet needs regarding survivorship care (SSC). To optimise melanoma SSC, it is crucial to take into account the perspectives of oncological healthcare providers (HCPs) in addition to those of patients. The aim of this study is to gain an in-depth understanding of HCPs’ perspectives on appropriate melanoma SSC.Methods: Four online focus groups were conducted with mixed samples of oncological HCPs (dermatologists, surgeons, oncologists, oncological nurse practitioners, support counsellors and general practitioners) (total n = 23). A topic guide was used to structure the discussions, focusing on perspectives on both SSC and survivorship care plans (SCPs). All focus groups were recorded, transcribed verbatim, and subjected to an elaborate thematic content analysis. Results: Regarding SSC, HCPs considered the current offer minimal and stressed the need for broader personalised SSC from diagnosis onwards. Although hardly anyone was familiar with SCPs, they perceived various potential benefits of SCPs, such as an increase in the patients’ self-management and providing HCPs with an up-to-date overview of the patient’s situation. Perceived preconditions for successful implementation included adequate personalisation, integration in the electronic health record and ensuring adequate funding to activate and provide timely updates.Conclusions: According to HCPs there is considerable room for improvement in terms of melanoma SSC. SCPs can assist in offering personalised and broader i.e., including psychosocial SSC. Aside from personalisation, efforts should be focused on SCPs' integration in clinical practice, and their long-term maintenance.

Recent studies show promising potential for artificial intelligence (AI) to assist healthcare providers (HCPs) in skin cancer care. The aim of this study is to explore the views of dermatologists and general practitioners (GPs) regarding the successful implementation of AI when assisting HCPs in skin cancer care. We performed a qualitative focus group study, consisting of six focus groups with 16 dermatologists and 17 GPs, varying in prior knowledge and experience with AI, gender, and age. An in-depth inductive thematic content analysis was deployed. Perceived benefits, barriers, and preconditions were identified as main themes. Dermatologists and GPs perceive substantial benefits of AI, particularly an improved health outcome and care pathway between primary and secondary care. Doubts about accuracy, risk of health inequalities, and fear of replacement were among the most stressed barriers. Essential preconditions included adequate algorithm content, sufficient usability, and accessibility of AI. In conclusion, dermatologists and GPs perceive significant benefits from implementing AI in skin cancer care. However, to successfully implement AI, key barriers need to be addressed. Efforts should focus on ensuring algorithm transparency, validation, accessibility for all skin types, and adequate regulation of algorithms. Simultaneously, improving knowledge about AI could reduce the fear of replacement.

Background: Basal cell carcinoma (BCC) is the most frequently diagnosed malignancy worldwide and an ever increasing annual incidence is observed. However, nationwide registries of BCCs are very rare, and often extrapolation of the data has been necessary to estimate the absolute number of diagnoses. As of September 2016, all histopathologically confirmed BCCs are registered in the Netherlands, due to developments in automatic notification and import in the Netherlands Cancer Registry. This offers the unique possibility to assess the nationwide population-based incidence of first and multiple BCCs. Objectives: To assess the nationwide incidence and trends of first and multiple BCCs in the Netherlands and to predict incidence rates up to 2029. Methods: All patients with histopathologically confirmed BCC between 2001 and 2019 were selected from the population-based Netherlands Cancer Registry. Age-standardized incidence rates were calculated and trends were analysed with use of the estimated annual percentage change. Prediction of BCC incidence rates up to 2029 was based on a regression model. Results: In total, 601 806 patients were diagnosed with a first BCC over the period 2001–2019. The age-standardized incidence rates for both men and women with a first BCC increased over these years, from 157 to 304 and from 124 to 274 per 100 000 person-years, respectively. For male and female patients aged 30–39 years, decreases in annual incidences of −3·6% and −3·0%, respectively, were found in recent years. For patients aged 50 years or older an ever increasing trend was found. One-quarter of the patients with a first primary BCC developed one or more subsequent BCCs within 3 years. Increases in incidence of 30·4% (male) and 25·3% (female) are expected in the next 10 years. Conclusions: BCC incidence has doubled over the past two decades. Trends have seemed to stabilize in recent years for patients aged < 50 years. This might be a first sign of a decreasing trend. The

Background: The COVID-19 pandemic impacted Dutch society and the healthcare system. Focus switched to care for COVID-19 patients, thereby altering care for non-COVID patients. Non-urgent medical visits were cancelled or postponed and patients were reluctant to visit healthcare services. Objectives: This study aimed to investigate the impact of the COVID-19 pandemic on trends in diagnoses of keratinocyte carcinoma (cutaneous squamous cell carcinoma (cSCC), basal cell carcinoma (BCC)) and to assess the magnitude of diagnostic delays. Methods: The number of cSCC and BCC diagnoses in each month of 2020 was compared to the expected number of diagnoses for these months, using data from the Netherlands Cancer Registry. Expected diagnoses for 2020 were used as a reference to take the yearly increase in keratinocyte carcinoma incidence into account and were calculated by extrapolating the trends observed in 2017–2019. Comparisons were further stratified by age, sex and region. Estimates of diagnostic delays were calculated and corrected for the influence of excess mortality due to the pandemic on keratinocyte carcinoma incidence. Results: The number of cSCC and BCC diagnoses substantially decreased when compared to the number of diagnoses expected from March to May 2020 (cSCC −29%, BCC −50%). These decreases were observed across all age groups, both sexes, and all regions. From June to September the number of cSCC and BCC diagnoses was higher than expected, after which it slightly dropped below expected in October to December. In total, 2020 keratinocyte carcinoma diagnoses continued to trail those expected, with a backlog of around 1150 cSCCs and 11 767 BCCs remaining at the end of the year. Conclusion: Diagnosis of keratinocyte carcinoma was suboptimal during the COVID-19 pandemic, due to diagnostic delays likely resulting from both patient and health system-related delay. Further studies will need to determine the effects of these diagnostic delays on outcomes.

BACKGROUND: The assessment of the prevalence of diseases is of primary importance in planning health policies. No complete data on the prevalence of skin diseases across European countries are available. OBJECTIVE: To estimate the prevalence of the most frequent skin conditions or diseases in 27 European countries (24 EU countries, plus Norway, Switzerland, and the United Kingdom). METHODS: We conducted a population-based study on representative and extrapolable samples of the general population aged 18 years or more in each of the 27 countries surveyed. Participants were selected using stratified, proportional sampling with a replacement design. Data were collected using a web-based online survey. All participants were asked to fill in a questionnaire with sociodemographic data and to declare if they have had one or more skin conditions or diseases during the previous 12 months. RESULTS: A total of 44 689 participants from 27 countries responded to the questionnaire, 21 887 (48.98%) men and 22 802 (51.02%) women. The proportion of participants who reported having suffered from at least one dermatological condition or disease during the previous 12 months was 43.35% (95% CI: 42.89%, 43.81%). The projection in the total population of the 27 countries included in the study resulted in 185 103 774 individuals affected by at least one dermatological condition or disease. Accordingly, we can estimate that more than 94 million Europeans complain of uncomfortable skin sensations like itch, burning, or dryness. The most frequent conditions were fungal skin infections (8.9%), acne (5.4%), and atopic dermatitis or eczema (5.5%). Alopecia, acne, eczema, and rosacea were more common in women, whereas men were more likely to suffer from psoriasis and sexually transmitted infections. CONCLUSION: Skin diseases are an important public health concern. Their high prevalence has to be taken into account in planning access to dermatological care to address patient needs.

Background: Lentigo maligna (LM) based on biopsy material might be lentigo maligna melanoma (LMM) after excision. Objectives: Investigate whether clinical and dermoscopic mapping increases the detection rate of LMM when investigating staged excision specimens of biopsy proven LM. Methods: Patients with biopsy-proven LM planned for staged excision were included. Using clinical inspection and dermoscopy, spots suspicious for LMM were marked. After the excision, needles were placed at the marked spots. Histological examination using vertical sections was done at the needles followed by the standard amount of vertical sections. Results: In 28 of the 58 biopsy-proven LM, there was clinical suspicion of LMM, only 3 of these 28 cases were upgraded into LMM. These three cases showed LMM in other sections, whereas only 1 case showed LMM around the needle. Within the group without clinical suspicion of LMM, 2 cases were LMM. Biopsy-proven LM were in fact LMM in 8.6% of the cases and were found without the clinical guidance of the dermatologist. Conclusions: 8.6% of the biopsy-proven LM were LMM after complete histological examination. In this study, the dermatologist was not able to increase the detection rate of LMM by using clinical and dermoscopic mapping.

Background: In children, psoriasis can be challenging to diagnose. Difficulties arise from differences in the clinical presentation compared with adults. Objectives: To test the diagnostic accuracy of previously agreed consensus criteria and to develop a shortlist of the best predictive diagnostic criteria for childhood psoriasis. Methods: A case–control diagnostic accuracy study in 12 UK dermatology departments (2017–2019) assessed 18 clinical criteria using blinded trained investigators. Children (< 18 years) with dermatologist-diagnosed psoriasis (cases, N = 170) or a different scaly inflammatory rash (controls, N = 160) were recruited. The best predictive criteria were identified using backward logistic regression, and internal validation was conducted using bootstrapping. Results: The sensitivity of the consensus-agreed criteria and consensus scoring algorithm was 84·6%, the specificity was 65·1% and the area under the curve (AUC) was 0·75. The seven diagnostic criteria that performed best were: (i) scale and erythema in the scalp involving the hairline, (ii) scaly erythema inside the external auditory meatus, (iii) persistent well-demarcated erythematous rash anywhere on the body, (iv) persistent erythema in the umbilicus, (v) scaly erythematous plaques on the extensor surfaces of the elbows and/or knees, (vi) well-demarcated erythematous rash in the napkin area involving the crural fold and (vii) family history of psoriasis. The sensitivity of the best predictive model was 76·8%, with specificity 72·7% and AUC 0·84. The c-statistic optimism-adjusted shrinkage factor was 0·012. Conclusions: This study provides examination- and history-based data on the clinical features of psoriasis in children and proposes seven diagnostic criteria with good discriminatory ability in secondary-care patients. External validation is now needed.