The 'Flapbot'- a global perspective on the validity and usability of a flap monitoring chatbot.

BACKGROUND: The Flapbot chatbot assists in free flap monitoring, emphasising accessibility, user-friendliness, and global reliability. This study assesses Flapbot's worldwide validity and usability and uses qualitative analysis to identify areas for future enhancement. METHODS: Flapbot, built on Google's Dialogflow, was evaluated by international plastic surgeons. Invitations were sent to the International Lower Limb Reconstruction Collaborative (INTELLECT), International Confederation of Plastic Surgery Societies (ICOPLAST), and the International Microsurgery Club. Out of the 42 surgeons who agreed to participate 21 tested the Flapbot and completed an online survey on its validity and usability. The survey had 13 validity items and 10 usability items. Data analysis involved computing the Individual Content Validity Index (I-CVI) and Scale-wide Content Validity Index (S-CVI) for validity, and the System Usability Score (SUS) for usability. Thematic analysis distilled free text responses to identify key themes. RESULTS: Nine of thirteen items had an I-CVI over 0.78, denoting significant relevance. The S-CVI score stood at 0.82, indicating high relevance. The SUS score was 68, representing average usability. Themes highlighted issues with the current model, development suggestions, and surgeons' concerns regarding growing reliance on digital tools in healthcare. CONCLUSION: Flapbot is a promising digital aid for free flap monitoring. While it showcases notable validity and usability, improvements in functionality, usability, and accessibility are needed for broader global use.

Resurgent Maternal and Congenital Syphilis in Mississippi-Pathways for Prevention.

This Viewpoint discusses Mississippi's public health challenges particularly as they relate to resurgent maternal and congenital syphilis.

A regionally tailored epidemiological forecast and monitoring program to guide a healthcare system in the COVID-19 pandemic.

BACKGROUND: During the COVID-19 pandemic, analytics and predictive models built on regional data provided timely, accurate monitoring of epidemiological behavior, informing critical planning and decision-making for health system leaders. At Atrium Health, a large, integrated healthcare system in the southeastern United States, a team of statisticians and physicians created a comprehensive forecast and monitoring program that leveraged an array of statistical methods. METHODS: The program utilized the following methodological approaches: (i) exploratory graphics, including time plots of epidemiological metrics with smoothers; (ii) infection prevalence forecasting using a Bayesian epidemiological model with time-varying infection rate; (iii) doubling and halving times computed using changepoints in local linear trend; (iv) death monitoring using combination forecasting with an ensemble of models; (v) effective reproduction number estimation with a Bayesian approach; (vi) COVID-19 patients hospital census monitored via time series models; and (vii) quantified forecast performance. RESULTS: A consolidated forecast and monitoring report was produced weekly and proved to be an effective, vital source of information and guidance as the healthcare system navigated the inherent uncertainty of the pandemic. Forecasts provided accurate and precise information that informed critical decisions on resource planning, bed capacity and staffing management, and infection prevention strategies. CONCLUSIONS: In this paper, we have presented the framework used in our epidemiological forecast and monitoring program at Atrium Health, as well as provided recommendations for implementation by other healthcare systems and institutions to facilitate use in future pandemics.

FACE-Q for Measuring Patient-reported Outcomes after Facial Skin Cancer Surgery: Cross-cultural Validation.

Background: Facial skin cancer and its surgical treatment can affect health-related quality of life. The FACE-Q Skin Cancer Module is a patient-reported outcome measure that measures different aspects of health-related quality of life and has recently been translated into Dutch. This study aimed to evaluate the performance of the translated version in a Dutch cohort using modern psychometric measurement theory (Rasch). Methods: Dutch participants with facial skin cancer were prospectively recruited and asked to complete the translated FACE-Q Skin Cancer Module. The following assumptions of the Rasch model were tested: unidimensionality, local independence, and monotonicity. Response thresholds, fit statistics, internal consistency, floor and ceiling effects, and targeting were assessed for all scales and items within the scales. Responsiveness was tested for the "cancer worry" scale. Results: In total, 259 patients completed the preoperative questionnaire and were included in the analysis. All five scales assessed showed a good or sufficient fit to the Rasch model. Unidimensionality and monotonicity were present for all scales. Some items showed a local dependency. Most of the scales demonstrate ordered item thresholds and appropriate fit statistics. Conclusions: The FACE-Q Skin Cancer Module is a well-designed patient-reported outcome measure that shows psychometric validity for the translated version in a Dutch cohort, using classical and modern test theory.

Improving Burns and Plastic Surgery Induction Programmes: A Departmental Quality Improvement Project.

BACKGROUND: Changes to the undergraduate medical curriculum now offer a greater focus on community-based teaching, communication skills and medical humanities. Unfortunately, this has been at the expense of surgical teaching. The senior house officer is usually the first port of call when a patient is being referred to a plastic surgery department. Therefore, a reasonable level of knowledge is required with regard to emergency presentations, examination skills, and clinical skills to appropriately manage the injury. The primary aims of this quality improvement project are to firstly improve the newly starting doctor's confidence in undertaking an on-calls in either trauma or burns following the induction programme and to also improve their level of satisfaction. METHODS: The Quality Improvement Project (QIP) team consisted of a Foundation Year 2 doctor, a core surgical trainee, and a registrar. Three Plan, Do, Study, Act (PDSA) cycles were completed to improve the quality of the induction programme. In the first PDSA cycle, junior doctors were provided with a handbook that covered necessary topics regarding burns and plastic surgery. In the second cycle, a structured presentation which included case-based discussions, was incorporated into the trauma aspect of the induction. Finally, in the third cycle, a structured presentation which included case-based discussions, was incorporated into the burns aspect of the induction. Data was collected in the form of a questionnaire one month following the departmental induction for each cycle. The questionnaire assessed the doctor's confidence levels and degree of satisfaction with the induction programme. Students were also given the opportunity to complete written descriptive feedback at the end of the questionnaire. Furthermore, pre- and post-induction questionnaires on the day of induction for the December and April cohort of doctors were also obtained.  Results: A total of 16 doctors completed the questionnaires. Overall satisfaction, confidence in undertaking trauma on-calls, and confidence in undertaking burns on-calls improved from 3.84/5, 1.83/5, and 2.67/5 in the first cycle to 4.6/5, 3.6/5, and 3.6/5 in the third cycle, respectively. Satisfaction with the clinical emergencies and case discussions aspect of the induction programme improved from 2.17/5 in the first cycle, to 4.6/5 in the third cycle. With regards to the pre- and post-induction questionnaire on the day of induction, the December cohort's correct answer percentage improved from 58.3% to 94.4%, and the April cohort improved from 47.2% to 93.3%. CONCLUSION: Whilst it is unlikely to completely prepare new junior doctors for the transition into clinical practice in a unique speciality such as burns and plastic surgery, our study highlights the value of a thorough, multi-stage induction in ensuring junior doctors feel confident to deliver high quality and safe patient care.

Natural language processing to automate a web-based model of care and modernize skin cancer multidisciplinary team meetings.

BACKGROUND: Cancer multidisciplinary team (MDT) meetings are under intense pressure to reform given the rapidly rising incidence of cancer and national mandates for protocolized streaming of cases. The aim of this study was to validate a natural language processing (NLP)-based web platform to automate evidence-based MDT decisions for skin cancer with basal cell carcinoma as a use case. METHODS: A novel and validated NLP information extraction model was used to extract perioperative tumour and surgical factors from histopathology reports. A web application with a bespoke application programming interface used data from this model to provide an automated clinical decision support system, mapped to national guidelines and generating a patient letter to communicate ongoing management. Performance was assessed against retrospectively derived recommendations by two independent and blinded expert clinicians. RESULTS: There were 893 patients (1045 lesions) used to internally validate the model. High accuracy was observed when compared against human predictions, with an overall value of 0.92. Across all classifiers the virtual skin MDT was highly specific (0.96), while sensitivity was lower (0.72). CONCLUSION: This study demonstrates the feasibility of a fully automated, virtual, web-based service model to host the skin MDT with good system performance. This platform could be used to support clinical decision-making during MDTs as 'human in the loop' approach to aid protocolized streaming. Future prospective studies are needed to validate the model in tumour types where guidelines are more complex.

Service implications of the revised 2022 National Institute for Health and Care Excellence (NICE) follow-up guidelines for stage IA-IIC melanoma.

BACKGROUND: The 2022 National Institute for Health and Care Excellence melanoma guideline update made significant changes to follow-up. The aim of this study was to assess the impact these changes will have on a national melanoma cohort over a 5-year follow-up interval. METHODS: Anonymized, individual-level, population-scale, linkable primary and secondary care National Health Service data for an 18-year interval (2000-2018) in Wales, UK were analysed. These data were used to predict the number of patients over a 10-year interval (2020-2030) that would be diagnosed with melanoma. Follow-up schedules for the 2015 and 2022 National Institute for Health and Care Excellence melanoma guidelines were then used to calculate the number of clinician-led appointments, the number of radiological investigations, and the total healthcare cost between 2025 and 2030, corresponding to a 5-year patient follow-up interval, for those with stage IA-IIC melanoma. RESULTS: Between 2025 and 2030 it is predicted that implementation of the 2022 guidelines would lead to 21 122 (range 19 194-23 083) fewer clinician-led appointments for patients with stage IA-IIC melanoma. However, there would be a significant increase in the number of radiological investigations (7812; range 7444-8189). These changes would lead to a €2.74 million (€1.87 million-€3.61 million) reduction in the total cost of follow-up over the interval 2025-2030. CONCLUSION: Melanoma follow-up guideline changes will result in a substantial reduction in the number of clinical follow-up appointments, but a significant additional burden to radiological services. The overall cost of follow-up at a national level will be reduced.

Prevalence and odds of anxiety and depression in cutaneous malignant melanoma: a proportional meta-analysis and regression.

BACKGROUND: The psychological burden of cutaneous malignant melanoma (CM) is all-encompassing, affecting treatment adherence, recurrence and mortality. However, the prevalence and risk factors of anxiety and depression in CM remain unclear. OBJECTIVES: To establish a benchmark pooled prevalence of anxiety and depression in CM, to provide magnitudes of association for clinical, therapeutic and demographic correlates, and to elucidate temporal trends in anxiety and depression from the time of diagnosis. METHODS: This review followed the MOOSE guidelines. MEDLINE, Embase, PsychINFO, Web of Science and the Cochrane Library were queried from database inception to 24 August 2023. Study selection, data extraction and quality assessment were performed by two independent authors, utilizing both the Joanna Briggs Institute (JBI) and National Institutes of Health risk-of-bias tools for the latter. The GRADE approach was used to rate the certainty of evidence. Prevalence rates, 95% confidence intervals (CIs) and prediction intervals (PIs) were derived using a random-effects model and estimating between- and within-study variance. RESULTS: Nine longitudinal and 29 cross-sectional studies were included (7995 patients). Based on the JBI and NIH tools, respectively, quality assessment found 20 and 17 to be at low risk of bias, 12 and 15 to be at moderate risk and 6 and 5 to be at high risk of bias. The prevalence of anxiety [30.6% (95% CI 24.6-37.0; PI 18-47%)] and depression [18.4% (95% CI 13.4-23.9; PI 10-33%)] peaked during treatment, declining to pretreatment levels after 1 year [anxiety: 48% vs. 20% (P = 0.005); depression: 28% vs. 13% (P = 0.03)]. Female sex [odds ratio (OR) 1.8, 95% CI 1.4-2.3; P < 0.001], age < 60 years (OR 1.5, 95% CI 1.2-2.0; P = 0.002) and low educational level (OR 1.5, 95% CI 1.2-2.0; P < 0.001) were likely to result in a large increase in the odds of anxiety. Depression was 12.3% higher in those with stage IV vs. those with stage I CM (P = 0.05). Relative to immune checkpoint inhibition, the rates of depression were 22% (P = 0.002) and 34% (P < 0.001) higher among patients with advanced-stage CM receiving interferon-α and chemotherapy, respectively. A significant reduction in self-reported depression scores was demonstrated over time (P = 0.003). CONCLUSIONS: Notably, anxiety and depression in CM affect women, those younger than 60 years of age and the less educated, with up to 80% higher odds of anxiety in these groups. Anxiety and depression surge during chemotherapy and interferon treatment, especially in advanced CM. Our findings facilitate risk stratification and underscore the need for multidisciplinary vigilance.

Melanoma is a serious type of skin cancer that is becoming more prevalent, particularly in people with lighter skin. The UK-based ReconRegen research group conducted a study to understand the psychological impact of melanoma on people, focusing on anxiety and depression. To do this, a systematic review approach was used to analyse data from existing studies and gather a comprehensive perspective. The study discovered that 30% of people with melanoma are affected by anxiety and 18% by depression, significantly higher than the general population. Key risk factors for anxiety included being female, being younger than 60 years of age and having lower educational attainment. Women are 1.8 times more likely to experience anxiety than men, those under 60 years of age are 1.5 times more likely to experience it and individuals with lower educational levels are also 1.5 times more likely to experience anxiety. Findings showed that anxiety and depression levels peaked during treatment phases, especially in people undergoing chemotherapy and immunotherapy. This highlights the need for targeted mental health support during these treatment periods. The findings advocate for mental health considerations in melanoma care, suggesting regular mental health assessments, particularly for high-risk groups and during intense treatment phases. Highlighting the importance of a holistic treatment approach, the study suggests that future research should include long-term studies to understand the chronic impacts of anxiety and depression. Improved clarity and detail in research reporting are essential for developing effective mental health support for people with melanoma, enhancing overall patient care by addressing both physical and emotional health needs.

Can Large Language Models Generate Outpatient Clinic Letters at First Consultation That Incorporate Complication Profiles From UK and USA Aesthetic Plastic Surgery Associations?

The importance of written communication between clinicians and patients, especially in the wake of the Supreme Court case of Montgomery vs Lanarkshire, has led to a shift toward patient-centric care in the United Kingdom. This study investigates the use of large language models (LLMs) like ChatGPT and Google Bard in enhancing clinic letters with gold-standard complication profiles, aiming to improve patients' understanding and save clinicians' time in aesthetic plastic surgery. The aim of this study is to assess the effectiveness of LLMs in integrating complication profiles from authoritative sources into clinic letters, thus enhancing patient comprehension and clinician efficiency in aesthetic plastic surgery. Seven widely performed aesthetic procedures were chosen, and complication profiles were sourced from the British Association of Aesthetic Plastic Surgeons (BAAPS) and the American Society of Plastic Surgeons (ASPS). We evaluated the proficiency of the ChatGPT4, ChatGPT3.5, and Google Bard in generating clinic letters which incorporated complication profiles from online resources. These letters were assessed for readability using an online tool, targeting a recommended sixth-grade reading level. ChatGPT4 achieved the highest compliance in integrating complication profiles from BAAPS and ASPS websites, with average readability grades between eighth and ninth. ChatGPT3.5 and Google Bard showed lower compliance, particularly when accessing paywalled content like the ASPS Informed Consent Bundle. In conclusion, LLMs, particularly ChatGPT4, show promise in enhancing patient communications in aesthetic plastic surgery by effectively incorporating standard complication profiles into clinic letters. This aids in informed decision making and time saving for clinicians. However, the study underscores the need for improvements in data accessibility, search capabilities, and ethical considerations for optimal LLM integration into healthcare communications. Future enhancements should focus on better interpretation of inaccessible formats and a Human in the Loop approach to combine Artifical Intelligence capabilities with clinician expertise.

Revisiting basal cell carcinoma clinical margins: Leveraging natural language processing and multivariate analysis with updated Royal College of Pathologists histological reporting standards.

INTRODUCTION: Data supporting the current British Association of Dermatologists guidelines for the management of basal cell carcinoma (BCC) are based on historic studies and do not consider the updated Royal College of Pathologists (RCPath) histological reporting standards. The aim of this study was to use natural language processing (NLP)-derived data and undertake a multivariate analysis with updated RCPath standards, providing a contemporary update on the excision margins required to achieve histological clearance in BCC. METHODS: A validated NLP information extraction model was used to perform a rapid multi-centre, pan-specialty, consecutive retrospective analysis of BCCs, managed with surgical excision using a pre-determined clinical margin, over a 17-year period (2004-2021) at Swansea Bay University Health Board. Logistic regression assessed the relationship between the peripheral and deep margins and histological clearance. RESULTS: We ran our NLP algorithm on 34,955 BCCs. Out of the 1447 BCCs that met the inclusion criteria, the peripheral margin clearance was not influenced by the BCC risk level (p = 0.670). A clinical peripheral margin of 6 mm achieved a 95% histological clearance rate (95% confidence interval [CI], 0.93-0.98). Tumour thickness inversely affected deep-margin histological clearance (OR 0.720, 95% CI, 0.525-0.991, p < 0.05). Depth level 2 had a 97% probability of achieving deep-margin histological clearance across all tumour thicknesses. CONCLUSION: Updated RCPath reporting standards minimally impact the peripheral margin histological clearance in BCC. Larger clinical peripheral margins than those indicated by current guidelines may be necessary to achieve excision rates of ≥95%. These findings emphasise the need for continuous reassessment of clinical standards to enhance patient care.

The association of anxiety disorders and depression with facial scarring: population-based, data linkage, matched cohort analysis of 358 158 patients.

BACKGROUND: Estimates suggest that 1 in 100 people in the UK live with facial scarring. Despite this incidence, psychological support is limited. AIMS: The aim of this study was to strengthen the case for improving such support by determining the incidence and risk factors for anxiety and depression disorders in patients with facial scarring. METHOD: A matched cohort study was performed. Patients were identified via secondary care data sources, using clinical codes for conditions resulting in facial scarring. A diagnosis of anxiety or depression was determined by linkage with the patient's primary care general practice data. Incidence was calculated per 1000 person-years at risk (PYAR). Logistic regression was used to determine risk factors. RESULTS: Between 2009 and 2018, 179 079 patients met the study criteria and were identified as having a facial scar, and matched to 179 079 controls. The incidence of anxiety in the facial scarring group was 10.05 per 1000 PYAR compared with 7.48 per 1000 PYAR for controls. The incidence of depression in the facial scarring group was 16.28 per 1000 PYAR compared with 9.56 per 1000 PYAR for controls. Age at the time of scarring, previous history of anxiety or depression, female gender, socioeconomic status and classification of scarring increased the risk of both anxiety disorders and depression. CONCLUSIONS: There is a high burden of anxiety disorders and depression in this patient group. Risk of these mental health disorders is very much determined by factors apparent at the time of injury, supporting the need for psychological support.

Comparative study of ChatGPT and human evaluators on the assessment of medical literature according to recognised reporting standards.

INTRODUCTION: Amid clinicians' challenges in staying updated with medical research, artificial intelligence (AI) tools like the large language model (LLM) ChatGPT could automate appraisal of research quality, saving time and reducing bias. This study compares the proficiency of ChatGPT3 against human evaluation in scoring abstracts to determine its potential as a tool for evidence synthesis. METHODS: We compared ChatGPT's scoring of implant dentistry abstracts with human evaluators using the Consolidated Standards of Reporting Trials for Abstracts reporting standards checklist, yielding an overall compliance score (OCS). Bland-Altman analysis assessed agreement between human and AI-generated OCS percentages. Additional error analysis included mean difference of OCS subscores, Welch's t-test and Pearson's correlation coefficient. RESULTS: Bland-Altman analysis showed a mean difference of 4.92% (95% CI 0.62%, 0.37%) in OCS between human evaluation and ChatGPT. Error analysis displayed small mean differences in most domains, with the highest in 'conclusion' (0.764 (95% CI 0.186, 0.280)) and the lowest in 'blinding' (0.034 (95% CI 0.818, 0.895)). The strongest correlations between were in 'harms' (r=0.32, p<0.001) and 'trial registration' (r=0.34, p=0.002), whereas the weakest were in 'intervention' (r=0.02, p<0.001) and 'objective' (r=0.06, p<0.001). CONCLUSION: LLMs like ChatGPT can help automate appraisal of medical literature, aiding in the identification of accurately reported research. Possible applications of ChatGPT include integration within medical databases for abstract evaluation. Current limitations include the token limit, restricting its usage to abstracts. As AI technology advances, future versions like GPT4 could offer more reliable, comprehensive evaluations, enhancing the identification of high-quality research and potentially improving patient outcomes.

Remote Symptom Monitoring With Ecological Momentary Computerized Adaptive Testing: Pilot Cohort Study of a Platform for Frequent, Low-Burden, and Personalized Patient-Reported Outcome Measures.

BACKGROUND: Remote patient-reported outcome measure (PROM) data capture can provide useful insights into research and clinical practice and deeper insights can be gained by administering assessments more frequently, for example, in ecological momentary assessment. However, frequent data collection can be limited by the burden of multiple, lengthy questionnaires. This burden can be reduced with computerized adaptive testing (CAT) algorithms that select only the most relevant items from a PROM for an individual respondent. In this paper, we propose "ecological momentary computerized adaptive testing" (EMCAT): the use of CAT algorithms to reduce PROM response burden and facilitate high-frequency data capture via a smartphone app. We develop and pilot a smartphone app for performing EMCAT using a popular hand surgery PROM. OBJECTIVE: The aim of this study is to determine the feasibility of EMCAT as a system for remote PROM administration. METHODS: We built the EMCAT web app using Concerto, an open-source CAT platform maintained by the Psychometrics Centre, University of Cambridge, and hosted it on an Amazon Web Service cloud server. The platform is compatible with any questionnaire that has been parameterized with item response theory or Rasch measurement theory. For this study, the PROM we chose was the patient evaluation measure, which is commonly used in hand surgery. CAT algorithms were built using item response theory models derived from UK Hand Registry data. In the pilot study, we enrolled 40 patients with hand trauma or thumb-base arthritis, across 2 sites, between July 13, 2022, and September 14, 2022. We monitored their symptoms with the patient evaluation measure, via EMCAT, over a 12-week period. Patients were assessed thrice weekly, once daily, or thrice daily. We additionally administered full-length PROM assessments at 0, 6, and 12 weeks, and the User Engagement Scale at 12 weeks. RESULTS: The use of EMCAT significantly reduced the length of the PROM (median 2 vs 11 items) and the time taken to complete it (median 8.8 seconds vs 1 minute 14 seconds). Very similar scores were obtained when EMCAT was administered concurrently with the full-length PROM, with a mean error of <0.01 on a logit (z score) scale. The median response rate in the daily assessment group was 93%. The median perceived usability score of the User Engagement Scale was 4.0 (maximum possible score 5.0). CONCLUSIONS: EMCAT reduces the burden of PROM assessments, enabling acceptable high-frequency, remote PROM data capture. This has potential applications in both research and clinical practice. In research, EMCAT could be used to study temporal variations in symptom severity, for example, recovery trajectories after surgery. In clinical practice, EMCAT could be used to monitor patients remotely, prompting early intervention if a patient's symptom trajectory causes clinical concern. TRIAL REGISTRATION: ISRCTN 19841416; https://www.isrctn.com/ISRCTN19841416.

The incidence of non-melanoma skin cancer in the UK and the Republic of Ireland: a systematic review.

BACKGROUND: Basal cell carcinoma (BCC) and cutaneous squamous cell carcinoma (cSCC) remain the most prevalent malignancies, contributing a higher workload to cancer registries than all cancers combined. The nature of skin cancers in addition to current coding methods employed by registries give a skewed representation of the workload. OBJECTIVES: A comprehensive search examining the incidence of BCC and/or cSCC at a regional or national level in the UK and Ireland was devised. Standardisation methods were grouped to permit comparison, and a bias assessment tool was employed. MATERIALS & METHODS: Sixteen UK and Republic of Ireland epidemiological studies on BCC/cSCC over a 48-year period were compiled, examining incidence, trends and emerging risk factors. RESULTS: Incidence of BCC within the UK is increasing annually by up to 4%, with rates in Wales increasing by up to 6.6% and 1.6% annually for BCC and cSCC, respectively. Inverse relationships are noted between BCC/cSCC and social deprivation. Although the elderly remain the most at risk, the 30-49 age group have illustrated growth rates of approximately 4%. CONCLUSION: This review outlines increasing incidence in the UK with higher rates noted in Wales, the Southeast, West and Central regions. Incidence rates are higher amongst the least socially deprived and an increasing incidence amongst younger age groups was found, however further trend analysis is required. A more comprehensive data collection method within registries is necessary to ensure accurate representation and fluid comparison. Service planning and public awareness campaigns must be implemented to prevent overwhelming future services.

Evaluating remote skin cancer multidisciplinary team meetings in the United Kingdom post-COVID-19.

INTRODUCTION: Prior to the COVID-19 pandemic, there was concern that virtual or remote multidisciplinary teams (MDT) meetings represented a niche concept that was unlikely to replace traditional face-to-face meetings in the management of cancer. However, the sudden shift to virtual meetings during COVID-19 has been one of the most dramatic changes since the inception of the MDT. This study aims to investigate the effectiveness of virtual skin MDTs since the move to virtual meetings. METHODS: A cross-sectional survey was sent to all Specialist Skin Cancer MDTs (SSMDTs) and the British Association of Plastic, Reconstructive, and Aesthetic Surgeons Skin Oncology Special Interest and Advisory Group. RESULTS: There were 68 responses (55.3% response rate) from 36 SSMDTs in the UK. Respondents felt communication, chairing, and decision-making were similar in virtual and in-person MDTs, but the team working was worse in virtual meetings. Recruitment, data security, and patient confidentiality were maintained in virtual MDTs. Most preferred a hybrid format for future MDTs, with the option to attend virtually. Recommendations for improvement included better connectivity, IT support, training, and staff integration. CONCLUSION: The virtual MDT is here to stay. We highlight the strengths and weaknesses of remote virtual skin MDTs. It is key that we look at ways to retain team working to ensure that the collegiate nature of MDT working, and therefore treatment options for patients, are not lost in this transformation in MDT delivery.

Improving the effectiveness of multidisciplinary team meetings on skin cancer: Analysis of the National Cancer Research UK survey responses.

INTRODUCTION: Skin cancer is the most common form of cancer in the UK, comprising at least 25% of all new cancer diagnoses. Many patients require referral to the local or specialist skin cancer multidisciplinary team (MDT) for ongoing management. However, national data have shown that Specialist Skin Cancer MDTs are costly and do not currently meet NICE standards for composition and quoracy. Innovative solutions to these problems are therefore warranted. METHODS: We performed a secondary comparative analysis of 3563 quantitative responses to two Cancer Research UK commissioned surveys along with subanalysis of 282 skin cancer MDT respondents. RESULTS: Good uniformity was observed amongst skin respondents in the belief that risk stratification and prioritization of complex cases were the most important factors compared to other cancer MDT members. The most important priorities for areas requiring change to MDT working deemed by the skin MDT were 1) imaging and pathology results ready for the meeting, 2) time to discuss patients in detail, 3) clear meeting owner in charge, and 4) clear agenda, in advance of the meeting. There was agreement (median Likert score 4) amongst skin MDT respondents that patients should be placed on protocolized treatment pathways. CONCLUSION: The responses of skin MDT respondents analyzed in the current study support changes to meeting attendance, preparation, and protocolized streaming. In line with other studies, we support tumor-specific guidance for streamlining MDT discussions. We also encourage stakeholders to adopt an evidence-based approach to test, develop, and reassess changes in this herculean task.

Foot Melanoma Localized to Subungual Toe Location Portends Poorer Prognosis.

Our group previously reported that melanoma of the foot is associated with advanced disease on diagnosis and decreased survival. Lesions localized to the toe appeared to have the worst outcomes. In this study, we both expanded our study to include a 10-year population of patient with invasive melanoma of the foot and ankle and investigated additional factors associated with prognosis. Between January 2007 and December 2016, 211 patients underwent biopsy diagnosis and surgery for invasive melanoma in the BLANK health care system. Demographic, pathologic, staging, and localization characteristics were studied for overall survival. Lesions were localized to dorsal foot, plantar foot, toe (nonsubungual), and toe (subungual) locations. Multivariable analysis found Breslow depth, ulceration, lymph node involvement, and subungual toe location to be associated with poorer survival. Overall survival rate for foot melanoma was 70.6%. Overall survival for nonsubungual toe melanoma was 60.7%, compared to 53.1% for subungual toe melanoma. Of the subungual melanomas, 37.5% of presented as deep lesions with a Breslow depth >4.0 mm. Subungual melanoma was statistically significant for and found to be an independent prognostic factor associated with poorer survival and advanced disease. Based on the results of this study, there should be a low threshold to biopsy suspicious lesions of the toe and foot with particular attention to be dedicated to subungual lesions.