Background:Reports on delays to National Health Service (NHS) surgical care have been widespread during and after the pandemic, however the impact on paediatric surgery is poorly described. Methods:This retrospective observational cohort study used NHS hospital data in England for children aged <18 yr undergoing surgery over an 8-yr period from 1 April 2015 to 31 December 2020, with supplementary data until March 2023. The primary outcome was in-hospital mortality within 90 days after surgery. The secondary outcome was hospital stay. We report trends in annual surgical procedure volume and mortality. Frequencies presented as n (%). Results:We identified 36 605 870 surgical procedures, between 1 April 2015 and 31 December 2020, of which 1 846 965 (5.0%) were for children. A total of 759 083/1 846 965 (41.1%) patients were female and 313 981 (17.0%) were from minority ethnic groups. There were 41 018/1 846 965 (2.2%) procedures among neonates, 93 872 (5.1%) for children aged 28 days to 1 yr, 532 828 (28.8%) for years 1-5, 502 971 (27.2%) for years 5-12, 361 176 (19.6%) for years 12-15, and 315 100 (17.1%) for years 15-17. Median hospital stay was 1 (0-1) day. There were 6 573/1 846 965 (0.36%) in-hospital deaths within 90 days after surgery, and a trend for increasing mortality risk between 2015 and 2020 (P<0.05). The average annual number of procedures before the pandemic (2015-19) was 340 596, decreasing to 266 049 in 2023 (22% reduction in volume). Conclusions:We report the trends in paediatric surgical volume and assocaited mortality for an entire healthcare system over eight years inlcuding during the COVID-19 pandemic. One in 14 surgical procedures were performed on children, with substantially lower mortality risk than adults.

BACKGROUND:Automated clinical coding can use statistical or artificial intelligence-based technology to transform unstructured clinical data into clinical codes. These processes have the potential to enhance the quality and accuracy of data collections, save resources and accelerate research. OBJECTIVE:To evaluate the use of automated clinical coding in the United Kingdom (UK) and European cancer registries. METHOD:An online electronic survey was formulated to evaluate the use and user opinion of automation within cancer registries. The survey was distributed to members of the United Kingdom and Ireland Association of Cancer Registry and the European cancer registries. Data analysis was performed using Microsoft Excel 2015® version 15.13.3 in order to summarise the results. RESULTS:Twenty-three of the 117 cancer registries responded to the distributed survey; 15 (12.8%) cancer registries used automation within their registry, mainly in the form of natural language processing or machine learning. Most of the sampled registries (73.3%) used these technologies to automate data collection from pathology reports; 87% of respondents reported automation as efficient; and 26.1% reported improved data quality; 12 (52.1%) of cancer registries still manually checked all the automations; and 17 (74%) respondents believed that the algorithms for difficult tasks require further development. CONCLUSION:Various computer-based algorithms have been used for automated clinical coding in the UK and European cancer registries in the past few decades; however, to date there are no published data to validate its use. Further research and development of these technologies is needed to ensure external validity and maximise the potential use within other cancer registries globally.Implications for health information management practice:It is clear that while automation can be advantageous in areas of clinical coding, the role of the "human" (HIMs and clinical coders) in coding and classifying registry data, and in overseeing the transition, will be required for some time yet.

BACKGROUND:Sentinel lymph node biopsy provides information about disease staging and the need for adjuvant therapy. The consequences of a false-negative result are potentially severe. The risk of a false-negative result should be quantified. The aims of this study were to estimate the sensitivity of sentinel lymph node biopsy based on studies following up patients for at least a mean or median of 5 years, appraise the risk of bias, and provide negative predictive value estimates across a range of pretest probabilities. METHODS:Ovid MEDLINE and Embase databases were searched from inception to 28 May 2025. Studies were screened independently and in duplicate, with a third author resolving conflicts. All original comparative and non-comparative English language research studies were included if the sensitivity of sentinel lymph node biopsy was calculable and participants had been followed up for a mean or median of 5 years. Risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 tool. Sensitivity estimates were calculated and pooled by random-effects meta-analysis. A negative predictive value curve was plotted using the pooled sensitivity estimate and a range of plausible pretest probabilities. RESULTS:Fourteen studies with 8447 patients were included. The pooled sensitivity estimate was 0.85 (95% confidence interval 0.80 to 0.88). The negative predictive value estimates fell between 0.93 and 0.97, depending on pretest probability. Existing negative predictive value estimates are at risk of positive bias. CONCLUSION:Sentinel lymph node biopsy is a sensitive test used to rule out lymph node metastasis in cutaneous melanoma. Clinicians can use negative predictive value estimates to counsel patients about the probability of false-negative results, for example, by offering reassurance to patients with thin melanomas and negative sentinel lymph node biopsy.

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.

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 euro2.74 million (euro1.87 million-euro3.61 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. Changes to the National Institute for Health and Care Excellence melanoma follow-up guidelines in 2022 will result in approximately 20 000 fewer clinician-led appointments over a 5-year interval in Wales. Despite the increase in radiology requirements, there will be a euro2.74 million reduction in healthcare cost.

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

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.

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.Level of Evidence 3:

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 multicentre, 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 peripheralResults: 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. (c) 2023 Published by Elsevier Ltd on behalf of British Association of Plastic, Reconstructive and Aesthetic Surgeons.

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.

This article discusses the role of multidisciplinary teams in improving data flow to cancer registries and the inefficiencies of current retrospective data entry methods. It proposes a novel model using a rule-based natural language processing technique for basal cell carcinoma, integrating real-time analysis and structured data presentation to enhance national skin audit and data submission. The model faces challenges like varied reporting styles and the need for common ontologies but aims to fill a gap in dermatology and plastic surgery audits, improving healthcare quality through precise and timely data analysis.

BACKGROUND:The Flapbot chatbot assists in free-flap monitoring, emphasizing 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 13 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 health care. 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.

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-alpha 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.

In Mississippi, USA, infant hospitalization with congenital syphilis (CS) spiked by 1,000%, from 10 in 2016 to 110 in 2022. To determine the causes of this alarming development, we analyzed Mississippi hospital discharge data to evaluate trends, demographics, outcomes, and risk factors for infants diagnosed with CS hospitalized during 2016–2022. Of the 367 infants hospitalized with a CS diagnosis, 97.6% were newborn, 92.6% were covered by Medicaid, 71.1% were African American, and 58.0% were nonurban residents. Newborns with CS had higher odds of being affected by maternal illicit drug use, being born prematurely (<37 weeks), and having very low birthweight (<1,500 g) than those without CS. Mean length of hospital stay (14.5 days vs. 3.8 days) and mean charges ($56,802 vs. $13,945) were also higher for infants with CS than for those without. To address escalation of CS, Mississippi should invest in comprehensive prenatal care and early treatment of vulnerable populations.

IntroductionChildren with visible facial differences are believed to be at increased risk of negative psychosocial behaviours which may manifest as affective disorders. The aim of this study was to determine whether a diagnosis of microtia, and the associated surgical intervention, is associated with psychosocial implications including impaired educational attainment and a diagnosis of an affective disorder.MethodsA retrospective case-control study was conducted using data linkage to identify patients in Wales with a diagnosis of microtia. Matched controls were sought on the basis of age, gender and socioeconomic deprivation status to yield a total sample size of 709. incidence was calculated using annual and geographic birth rates. Surgical operation codes were used to classify patients into those that had no surgery, autologous reconstruction or prosthetic reconstruction. Educational attainment at 11 years of age, plus a diagnosis of depression or anxiety were used as markers of adverse psychosocial outcomes and the relative risk was attained using logistic regression analyses.ResultsThere were no significant associations between a diagnosis of microtia and an increased risk of adverse educational attainment or a risk of an affective disorder diagnosis. Male gender and higher deprivation scores were significantly associated with poorer educational attainment, irrespective of a diagnosis of microtia. Surgical intervention of any nature was also not associated with any increased risk of adverse educational or psychosocial outcomes in microtia patients.DiscussionMicrotia patients in Wales do not appear to be at greater risk of developing affective disorders or impaired academic performance as a result of their diagnosis or associated surgical intervention. Whilst reassuring, the need for appropriate support mechanisms to maintain positive psychosocial wellbeing and academic achievement in this patient cohort is reinforced.

Can developments in natural language processing make data access easier andtransform how we use it?

Dr Jaffar Khan gets to the heart of why innovation is so important in healthcare.

Goal: Utilizing Mississippi's hospital discharge data (HDD), we examined trends, demographics, comorbidities, in-hospital deaths, and hospital charges for hospitalizations with diagnoses for hepatitis C virus (HCV).Methods: We conducted a retrospective study of hospitalizations with primary or secondary HCV diagnoses. We performed descriptive and inferential statistical analyses using SAS 9.4. We compared categorical variables with chi-square tests and continuous variables with t-tests.Results: Between 2014 and 2018, patients hospitalized with an HCV diagnosis were more likely to have coexisting intravenous drug use (IDU) diagnoses compared to all other hospitalized patients (20.3% versus 3.3%, p < 0.001). From 2014 to 2018, hepatitis C infections associated with IDU spiked by 53.8%, fueling the overall increase in the number of hepatitis C hospitalizations in Mississippi. Almost one-third (31.8%) of all hepatitis C stays had a severe liver condition and 48.2% had nicotine dependence. The average charges for stays with coexisting HCV and decompensated cirrhosis were $65,975.Conclusions: In Mississippi, there has been a rapid increase in HCV hospitalizations associated with IDU. In addition, HCV hospitalizations were associated with severe morbidity burden and high economic expense. These findings underscore the need for measures aimed at containing the spread of this dangerous but preventable infection.