A systematic review and synthesis of qualitative and quantitative studies evaluating provider, patient, and health care system-related barriers to diagnostic skin cancer examinations

Examining Demographic, Geographic, and Temporal Patterns of Melanoma Incidence in Texas From 2000 to 2018: Retrospective Study

Background

Melanoma currently ranks as the fifth leading cancer diagnosis and is projected to become the second most common cancer in the United States by 2040. Melanoma detected at earlier stages may be treated with less-risky and less-costly therapeutic options.

Objective

This study aims to analyze temporal and spatial trends in melanoma incidence by stage at diagnosis (overall, early, and late) in Texas from 2000 to 2018, focusing on demographic and geographic variations to identify high-risk populations and regions for targeted prevention efforts.

Methods

We used melanoma incidence data from all 254 Texas counties from the Texas Cancer Registry (TCR) from 2000 to 2018, aggregated by county and year. Among these, 250 counties reported melanoma cases during the period. Counties with no cases reported in a certain year were treated as having no cases. Melanoma cases were classified by SEER Summary Stage and stratified by the following four key covariates: age, sex, race and ethnicity, and stage at diagnosis. Incidence rates (IRs) were calculated per 100,000 population, and temporal trends were analyzed using joinpoint regression to determine average annual percentage changes (AAPCs) with 95% CIs for the whole time period (2000-2018), the most recent 10-year period (2009-2018), and the most recent 5-year period (2014-2018). Heat map visualizations were developed to assess temporal trends by patient age, year of diagnosis, stage at diagnosis, sex, and race and ethnicity. Spatial cluster analysis was conducted using Getis-Ord Gi* statistics to identify county-level geographic clusters of high and low melanoma incidence by stage at diagnosis.

Results

A total of 82,462 melanoma cases were recorded, of which 74.7% (n=61,588) were early stage, 11.3% (n=9,352) were late stage, and 14% (n=11,522) were of unknown stage. Most cases were identified as males and non-Hispanic White individuals. Melanoma IRs increased from 2000 to 2018, particularly among older adults (60+ years; AAPC range 1.20%-1.84%; all P values were <.001), males (AAPC 1.59%; P<.001), and non-Hispanic White individuals (AAPC of 3.24% for early stage and 2.38% for late stage; P<.001 for early stage and P = .03 for late state). Early-stage diagnoses increased while the rates of late-stage diagnoses remained stable for the overall population. The spatial analysis showed that urban areas had higher early-stage incidence rates (P=.06), whereas rural areas showed higher late-stage incidence rates (P=.05), indicating possible geographic-based differences in access to dermatologic care.

Conclusions

Melanoma incidence in Texas increased over the study time period, with the most-at-risk populations being non-Hispanic White individuals, males, and individuals aged 50 years and older. The stable rates of late-stage melanoma among racial and ethnic minority populations and rural populations highlight potential differences in access to diagnostic care. Future prevention efforts may benefit from increasing access to dermatologic care in areas with higher rates of late-stage melanoma at diagnosis.

Ethical, Legal, and Social Assessment of AI-Based Technologies for Prevention and Diagnosis of Rare Diseases in Health Technology Assessment Processes

BACKGROUND

While the HTA community appears well-equipped to assess preventive and diagnostic technologies, certain limitations persist in evaluating technologies designed for rare diseases, including those based on Artificial Intelligence (AI). In Europe, the EUnetHTA Core Model® serves as a reference for assessing preventive and diagnostic technologies. This study aims to identify key ethical, legal, and social issues related to AI-based technologies for the prevention and diagnosis of rare diseases, proposing enhancements to the Core Model.

METHODS

An exploratory sequential mixed methods approach was used, integrating a PICO-guided literature review and a focus group. The review analyzed six peer-reviewed articles and compared the findings with a prior study on childhood melanoma published in this journal (Healthcare), retaining only newly identified issues. A focus group composed of experts in ethical, legal, and social domains provided qualitative insights.

RESULTS

Thirteen additional issues and their corresponding questions were identified. Ethical concerns related to rare diseases included insufficient disease history knowledge, lack of robust clinical data, absence of validated efficacy tools, overdiagnosis/underdiagnosis risks, and unknown ICER thresholds. Defensive medicine was identified as a legal issue. For AI-based technologies, concerns included discriminatory outcomes, explicability, and environmental impact (ethical); accountability and reimbursement (legal); and patient involvement and job losses (social).

CONCLUSIONS

Integrating these findings into the Core Model enables a comprehensive HTA of AI-based rare disease technologies. Beyond the Core Model, these issues may inform broader assessment frameworks, ensuring rigorous and ethically responsible evaluations.

Key Factors Influencing Outpatient Satisfaction in Chronic Disease Care: Insights from the 2023 Korea HSES

Background/Objectives: The outpatient healthcare experiences of patients with chronic diseases significantly impact disease management and quality of life. Patient satisfaction with healthcare services serves as a critical indicator of the responsiveness of healthcare systems and the advancement of patient-centered care. This study aimed to identify key factors influencing patient satisfaction and propose strategies for improvement. Methods: Using secondary data from the 2023 Healthcare Service Experience Survey (HSES), we analyzed patient satisfaction and its associated factors among respondents aged 15 years and older from households nationwide. Through multiple regression analysis and statistical testing, we examined the impact of the healthcare facility type, sociodemographic characteristics, and healthcare service experiences on satisfaction levels. Results: Information provided by physicians and nurses, communication with healthcare providers, and shared decision-making processes had a significant impact on patient satisfaction. Satisfaction levels were highest in hospitals and lowest in clinics. Older patients and those who discontinued treatment due to the financial burden reported lower satisfaction. Notably, information provided by nurses had the most substantial positive influence on satisfaction. Conclusions: Delivering patient-centered outpatient healthcare services is essential in improving satisfaction and health outcomes. Enhancing the service quality, reducing financial burdens, and adopting digital platforms to promote patient engagement are critical measures. These approaches will strengthen chronic disease management systems and contribute to improving the overall quality of life of the population. The entire study focused on outpatient care.

Area Deprivation Index and Melanoma Thickness in Veterans

Importance

The US Veterans Health Administration (VHA) provides comprehensive medical care for enrolled veterans. Differences in melanoma diagnosis, associated with individual-level factors, have been previously published. The area deprivation index (ADI) ranks a neighborhood's level of deprivation and can inform whether the characteristics of a patient's area of residence can contribute to delayed diagnosis, measured by melanoma thickness.

Objective

To evaluate if neighborhood deprivation is associated with thicker (greater than 2 mm) cutaneous melanoma diagnosis after controlling for individual-level characteristics in the US veteran population.

Design, Setting, and Participants

This national cohort study used data from the US Veterans Eligibility Trends and Statistics database, the Veterans Affairs Cancer Registry, and veterans' electronic health care records. Veterans enrolled at the VHA who were diagnosed with melanoma from October 1, 2013, to December 31, 2019, were included. Data analysis conducted from September 2023 to July 2024.

Exposures

Quintiles of ranked neighborhood deprivation measured by the nationwide ADI.

Main Outcomes and Measures

Generalized Poisson models were used to calculate the risk of a thick cutaneous melanoma diagnosis, defined by the American Joint Committee on Cancer Staging Manual eighth edition staging as a Breslow thickness greater than 2 mm (ie, T3 to T4 disease).

Results

Of 7249 veterans with a melanoma diagnosis included in the study, 6988 (96.4%) were male, and the mean (SD) age was 68.9 (12.2) years. A total of 856 (11.8%) lived in the least deprived neighborhoods (quintile 1: ADI of 1-20) and 1205 (16.6%) lived in the most deprived neighborhoods (quintile 5: ADI of 81-100) nationwide. The risk of thicker melanoma at diagnosis increased with measured deprivation in the neighborhood. There was a 33% increased risk of thicker melanoma (greater than 2 mm) in veterans in quintile 5 compared with those in quintile 1 of ADI (adjusted risk ratio, 1.33; 95% CI, 1.05-1.68).

Conclusions and Relevance

In this national cohort study of US veterans with melanoma, neighborhood-level deprivation at time of diagnosis was independently associated with thicker melanoma at diagnosis after controlling for individual-level factors and tumor characteristics. These findings underscore the significant association between neighborhood deprivation and melanoma diagnosis.

Policy Challenges in Ultra-Rare Cancers: Ethical, Social, and Legal Implications of Melanoma Prevention and Diagnosis in Children, Adolescents, and Young Adults

Background: The ultra-rare nature of melanoma in children, adolescents, and young adults poses significant challenges to the development and implementation of effective prevention and diagnostic strategies. This article delves into the ELSIs surrounding these strategies, placing particular emphasis on the transformative potential of AI-driven tools and applications. Methods: Using an exploratory sequential mixed methods approach, this study integrated a PICO-guided literature review and qualitative insights from two focus groups. The review included 26 peer-reviewed articles published in English from January 2019 to January 2024, addressing ELSIs in melanoma, rare diseases, and AI in dermatology. Focus groups included a March 2024 session in Berlin with 15 stakeholders (patients, caregivers, advocates, healthcare professionals) and a November 2024 online session with 5 interdisciplinary experts. Results: Six key priorities for healthcare policies emerged: addressing cultural factors, such as the glorification of tanned skin; enhancing professional training for accurate diagnosis; balancing the risks of overdiagnosis and underdiagnosis; promoting patient autonomy through transparent communication; reducing inequalities to ensure equitable access to care; and making ethical and legal use of AI in healthcare. Conclusion: These priorities provide a comprehensive framework for advancing the prevention and diagnosis of melanoma in children, adolescents, and young adults, leveraging AI technologies while prioritizing equitable and patient-centered healthcare delivery.

Applying Neural Networks to Analyse Inflammatory, Sociodemographic, and Psychological Factors in Non-Melanoma Skin Cancer and Colon Cancer: A Statistical and Artificial Intelligence Approach

Background/Objectives: Chronic inflammation and psychosocial factors significantly influence cancer progression and patient behavior in seeking medical care. Understanding their interplay is essential for enhancing early detection and developing personalized treatment strategies. This study aims to develop a comprehensive patient profiling model by comparing non-melanoma skin cancer (NMSC) and colorectal cancer (CRC). The goal is to identify common and distinct patterns in inflammation and psychosocial factors that affect disease progression and clinical presentation. Methods: We conducted a comparative analysis of patients diagnosed with NMSC and CRC, integrating clinical data with sociodemographic and psychological assessments. Advanced neural network algorithms were employed to detect subtle patterns and interactions among these factors. Based on the analysis, a cancer risk assessment questionnaire was developed to stratify patients into low-, moderate-, and high-risk categories. Results: Patients with low systemic inflammation and adequate vagal tone, supported by a stable family environment, demonstrated heightened sensitivity to subclinical symptoms, enabling earlier diagnosis and timely intervention. Conversely, patients with high systemic inflammation and reduced vagal tone, often influenced by chronic stress and unstable family environments, presented at more advanced disease stages. The developed risk assessment tool effectively classified patients into distinct risk categories, facilitating targeted preventive measures and personalized therapeutic strategies. Neural network profiling revealed significant interactions between biological and psychosocial factors, enhancing our understanding of their combined impact on cancer progression. Conclusions: The integrated profiling approach and the newly developed risk assessment questionnaire have the potential to transform cancer management by improving early detection, personalizing treatment strategies, and addressing psychosocial factors. This model not only enhances clinical outcomes and patient quality of life but also offers a framework adaptable to other cancer types, promoting a holistic and patient-centered approach in oncology.

Factors for the integration of prevention in primary care: an overview of reviews

BACKGROUND

The global burden of non-communicable diseases is increasing and the need for prevention is huge. Policies have yet to produce results and prevention indicators remain low. Primary care (PC) represents an opportunity to optimise the practice of prevention, but GPs are coming up against barriers that are holding back their prevention practices.

AIM

To identify the barriers and facilitators for the implementation of routine prevention practices in PC.

DESIGN & SETTING

This study is an international overview of reviews focusing on the integration of prevention in PC settings.

METHOD

The search was conducted in July 2022 using MEDLINE, Embase, Web of Science, and the Cochrane Database of Systematic Reviews. Included reviews are systematic reviews or scoping reviews adopting a systematic approach.

RESULTS

The 35 reviews included identify multiple barriers and facilitators related to the integration of prevention in PC. These factors are heterogeneous with regard to their source (the patient, the professional, and the health system) and their level of action (individual, organisational, or contextual). The results show the need to organise PC at the professional level (for example, in training), at the local level (for example, the information system), and at the political level (for example, the unclear definition of the role of professionals).

CONCLUSION

The factors influencing the integration of prevention in PC are multiple and act at different levels (individual, organisational, and health-system level). Organisation factors play a major role and seem to be a means of overcoming the difficulties encountered by healthcare professionals in developing preventive practices.

General practitioners' perspectives on statutory skin cancer screening-A questionnaire-based cross-sectional survey in Germany

BACKGROUND

In Germany, skin cancer screening (SCS) is available free of charge every two years to all those with statutory health insurance over the age of 35. General Practitioners (GP) can carry out the screening if they have completed an 8-hour training course. GPs play a crucial role in the implementation of SCS and act as gatekeepers between initial patient contact and referral to dermatologists.

OBJECTIVE

To record how comprehensively GPs carry out SCS in terms of patient information and body examination, as well as to explore GPs opinions on the feasibility of SCS.

METHODS

A cross-sectional survey was conducted. A questionnaire was sent to GPs with permission to perform SCS in two regions of Germany (Bavaria and Saxony) between August and September 2021. Data were analyzed using descriptive analysis. Subgroup analysis was performed according to regions (federal state, location of physician´s office), professional experience (experience in years, number of monthly screenings, age) and gender. Open questions were evaluated using qualitative content analysis.

RESULTS

In the survey, 204 GPs responded. Genitalia (40.7%, 83/203), anal fold (62.3%, 127/204) and oral mucosa (66.7%, 136/204) were the least examined body regions during screening. Information on risks (false-positive findings: 18.6%, 38/203; false-negative findings: 13.2%, 27/203; overdiagnosis: 7.8%, 16/203) and benefits (48.0%, 98/202) were not always provided. GPs who performed screenings more frequently were more likely to provide information about the benefits of SCS (p<0.001; >10 vs. <5 screenings per month). Opinions were provided on uncertainties, knowledge requirements, structural and organizational requirements of SCS, SCS training and evaluation. The organization and remuneration of the SCS programme was seen as a barrier to implementation. GPs expressed uncertainties especially in unclear findings and in dermatoscopy.

CONCLUSION

Uncertainties in the implementation of the SCS should be addressed by offering refresher courses. Good networking between GPs and dermatologists is essential to improve SCS quality.

Persistent poverty and incidence-based melanoma mortality in Texas

PURPOSE

Previous studies have shown that individuals living in areas with persistent poverty (PP) experience worse cancer outcomes compared to those living in areas with transient or no persistent poverty (nPP). The association between PP and melanoma outcomes remains unexplored. We hypothesized that melanoma patients living in PP counties (defined as counties with ≥ 20% of residents living at or below the federal poverty level for the past two decennial censuses) would exhibit higher rates of incidence-based melanoma mortality (IMM).

METHODS

We used Texas Cancer Registry data to identify the patients diagnosed with invasive melanoma or melanoma in situ (stages 0 through 4) between 2000 and 2018 (n = 82,458). Each patient's PP status was determined by their county of residence at the time of diagnosis.

RESULTS

After adjusting for demographic variables, logistic regression analyses revealed that melanoma patients in PP counties had statistically significant higher IMM compared to those in nPP counties (17.4% versus 11.3%) with an adjusted odds ratio of 1.35 (95% CI 1.25-1.47).

CONCLUSION

These findings highlight the relationship between persistent poverty and incidence-based melanoma mortality rates, revealing that melanoma patients residing in counties with persistent poverty have higher melanoma-specific mortality compared to those residing in counties with transient or no poverty. This study further emphasizes the importance of considering area-specific socioeconomic characteristics when implementing place-based interventions to facilitate early melanoma diagnosis and improve melanoma treatment outcomes.

Barriers to Timely Seeking of Breast Cancer Care Among Palestinian Women: A Cross-Sectional Study

PURPOSE

Examining the association of breast cancer (BC) symptom awareness with time to help seeking and exploring barriers to timely presentation may enhance the effectiveness of BC awareness campaigns and early detection efforts. This study aimed to assess the anticipated time for seeking medical advice when experiencing a potential BC symptom among women in Palestine and to identify their barriers to early presentation.

MATERIALS AND METHODS

A convenience sampling method was used to recruit adult women from hospitals, primary health care facilities, and public areas across 11 governorates in Palestine. A translated-into-Arabic version of the validated BC Awareness Measure was used. The questionnaire consisted of three sections: sociodemographic information, recognition of 13 BC symptoms and reporting time for seeking medical advice, and barriers to early presentation.

RESULTS

A total of 5,257 questionnaires were included. The proportion of participants who would seek medical advice immediately varied on the basis of the nature of BC symptoms. For symptoms related to the breast, the proportion ranged from 25.7% for redness of the breast skin to 53.5% for a lump or thickening in the breast. For symptoms related to the nipple, the proportion ranged from 30.7% for nipple rash to 48.0% for discharge or bleeding from the nipple. Exhibiting good BC symptom awareness was associated with a higher likelihood of seeking medical advice within a week for all BC symptoms. Emotional barriers were the most frequently reported barriers. There was no association between increasing levels of BC awareness and reporting fewer or more barriers.

CONCLUSION

The nature of BC symptoms had an impact on help-seeking behaviors. Participants with good BC symptom awareness were more likely to seek medical advice earlier.

Application possibilities of artificial intelligence in facial vascularized composite allotransplantation-a narrative review

Facial vascularized composite allotransplantation (FVCA) is an emerging field of reconstructive surgery that represents a dogmatic shift in the surgical treatment of patients with severe facial disfigurements. While conventional reconstructive strategies were previously considered the goldstandard for patients with devastating facial trauma, FVCA has demonstrated promising short- and long-term outcomes. Yet, there remain several obstacles that complicate the integration of FVCA procedures into the standard workflow for facial trauma patients. Artificial intelligence (AI) has been shown to provide targeted and resource-effective solutions for persisting clinical challenges in various specialties. However, there is a paucity of studies elucidating the combination of FVCA and AI to overcome such hurdles. Here, we delineate the application possibilities of AI in the field of FVCA and discuss the use of AI technology for FVCA outcome simulation, diagnosis and prediction of rejection episodes, and malignancy screening. This line of research may serve as a fundament for future studies linking these two revolutionary biotechnologies.

A Pilot Educational Intervention to Support Primary Care Provider Performance of Skin Cancer Examinations

Educational interventions to support Primary Care Provider (PCP) performance of skin cancer examinations typically train PCPs to "triage and refer," an approach that may result in diagnostic delays in regions without appropriate access to dermatology care. To address the needs of PCPs and patients in regions without appropriate access to dermatology care, we developed a multi-faceted pilot intervention, including a curriculum and telementoring, designed to support PCP performance of skin cancer detection examinations. Our intervention offers two levels of proficiency: "triage and refer" and "diagnose and manage." The pilot intervention was conducted in collaboration with the Texas Tech University of Health Sciences Center El Paso, TX Family and Community Medicine Department (TTUHSC-El Paso). Participation in the intervention was voluntary, and 18-22 family medicine resident physicians completed the intervention tests. The participating family medicine resident physicians demonstrated statistically significant gains in knowledge and self-efficacy at the immediate post-intervention time points. Further adaption of the pilot intervention is needed to meet the needs of practicing PCPs. The pilot tests require further adaption and validation. Translating education delivery from live/synchronous to interactive virtual/asynchronous modules will support greater educational dissemination, and telementoring support is essential to address challenging cases encountered during patient care.

The relationship between single nucleotide polymorphisms and skin cancer susceptibility: A systematic review and network meta-analysis

Background

Single nucleotide polymorphisms (SNPs) interfere with the function of certain genes and thus may influence the probability of skin cancer. The correlation between SNPs and skin cancer (SC) lacks statistical power, however. Therefore, the purpose of this study was to identify the gene polymorphisms involved in skin cancer susceptibility using network meta-analysis and to determine the relationship between SNPs and SC risk.

Methods

PubMed, Embase, and Web of Science were searched for articles including "SNP" and different types of SC as keywords between January 2005 and May 2022. The Newcastle-Ottawa Scale was used to assess bias judgments. The odds ratio (ORs) and their 95% confidence intervals (CIs) were determined to estimate heterogeneity within and between studies. Meta-analysis and network meta-analysis were carried out to identify the SNPs associated with SC. The P-score of each SNP was compared to obtain the rank of probability. Subgroup analyses were performed by cancer type.

Results

A total of 275 SNPs from 59 studies were included in the study. Two subgroup SNP networks using the allele model and dominant model were analyzed. The alternative alleles of rs2228570 (FokI) and rs13181 (ERCC2) were the first-ranking SNPs in both subgroups one and two of the allele model, respectively. The homozygous dominant genotype and heterozygous genotype of rs475007 in subgroup one and the homozygous recessive genotype of rs238406 in subgroup two were most likely to be associated with skin cancer based on the dominant model.

Conclusions

According to the allele model, SNPs FokI rs2228570 and ERCC2 rs13181 and, according to the dominant model, SNPs MMP1 rs475007 and ERCC2 rs238406 are closely linked to SC risk.

Why people fail to participate in annual skin cancer screening: creation of the perceptions of annual skin cancer screening scale (PASCSS)

Objectives

Many studies show that most people, even at-risk individuals, do not undergo routine clinical skin cancer screening, and many questions remain unanswered regarding the participation (or lack thereof) in annual skin cancer screening. Perhaps the largest unanswered question is the most essential: why do people fail to undergo annual skin cancer screening? We provide an avenue to answer this question by creating the Perceptions of Annual Skin Cancer Screening Scale (PASCSS).

Methods

In Study 1, we conduct a qualitative investigation to identify potential scale dimensions and items (n=233). In Study 2, we test the validity and psychometric properties of our initial item list via exploratory factor analysis (n=406). In Study 3, we further test the psychometric properties of our item list via confirmatory factor analysis (n=587).

Results

These three studies provide strong support for the validity and psychometric properties of our item list, resulting in the PASCSS. The PASCSS includes 48 items and 12 dimensions that each represent unique perceptions regarding annual skin cancer screening.

Conclusions

We encourage future authors to utilize the PASCSS to identify those most at risk for failing to participate in annual skin cancer screening as well as develop adaptive interventions that can target these participants.

Cutaneous melanoma diagnosis delay: socioeconomic and demographic factors influence

OBJECTIVE

Malignant cutaneous melanoma is the most aggressive type of skin cancer, and its early detection and prompt initiation of treatment play an important role in reducing disease-associated morbidity and mortality. Many factors influence the diagnosis of melanoma, and its recognition is essential for the development of strategies for its early detection. This study was carried out to Identify the main variables related to the delay in diagnosis of Malignant Cutaneous Melanoma and correlate them with the time interval for making the definitive diagnosis.

METHODS

Retrospective analysis of 103 patient records from January 2015 to December 2020 correlating social, economic, demographic, and cultural factors with the time elapsed between the onset of symptoms and the diagnosis of malignant cutaneous melanoma.

RESULTS

The average time to seek medical services from the onset of symptoms was 29.54 months. The mean time for a referral from the primary to the referral service was 1.35 months, and the factors that contributed to a faster diagnosis were lesion Breslow (>1 mm), lesion growth, income range (≤1.5 minimum wages), lower phototypes (I and II), not having gone to the Basic Healthcare Units, profession (household), smoking, and type of housing.

CONCLUSIONS

Our findings demonstrate that there is still a great delay in the recognition of signs and symptoms related to the diagnosis of malignant cutaneous melanoma in our country, influenced by several socioeconomic and demographic factors.

Sensitivity and Specificity for Skin Cancer Diagnosis in Primary Care Providers: a Systematic Literature Review and Meta-analysis of Educational Interventions and Diagnostic Algorithms

BACKGROUND

In areas without convenient access to dermatology care, primary care providers (PCPs) serve as an important patient resource for early skin cancer detection. To determine the most effective strategy for skin cancer detection training in PCPs, we conducted a systematic review of educational interventions and performed a meta-analysis on sensitivity and specificity outcomes in PCPs.

OBJECTIVES

To summarize data on skin cancer sensitivity and specificity outcomes for PCP-targeted training programs and diagnostic algorithms. Our PCP cohort included practicing physicians, trainee physicians, and advanced practice practitioners.

METHODS

A literature search was performed in MEDLINE, Embase, Web of Science, and the Cochrane Library for relevant English-language articles published worldwide from 2000 onward. Results were screened for eligibility, and overlapping datasets were reconciled. Data extracted included the educational intervention, diagnostic algorithm, and outcomes of interest (sensitivity and specificity). Outcomes were pooled across interventions that taught the same diagnostic algorithm. A bivariate model was fit to compare different interventions/algorithms. This review followed the PRISMA guidelines.

RESULTS

In total, 21 articles were included in this review, encompassing over 58,610 assessments of skin lesions by about 1529 participants worldwide. Training programs that implemented the triage-amalgamated dermoscopic algorithm (TADA) demonstrated high pooled sensitivity (91.7%) and high pooled specificity (81.4%) among PCPs.

CONCLUSIONS AND RELEVANCE

Overall, this systematic review and meta-analysis showed that dermoscopy training in PCPs was generally associated with gains in skin cancer sensitivity without loss of specificity. Clinically, this correlates with fewer skin cancers overlooked by PCPs and fewer excisions of benign lesions.

Skin Cancer Education Interventions for Primary Care Providers: A Scoping Review

Primary care physicians (PCPs) are often the first line of defense against skin cancers. Despite this, many PCPs do not receive a comprehensive training in skin conditions. Educational interventions aimed at skin cancer screening instruction for PCPs offer an opportunity to detect skin cancer at earlier stages and subsequent improved morbidity and mortality. A scoping review was conducted to collect data about previously reported skin cancer screening interventions for PCPs. A structured literature search found 51 studies describing 37 unique educational interventions. Curriculum elements utilized by the interventions were divided into categories that would facilitate comparison including curriculum components, delivery format, delivery timing, and outcome measures. The interventions varied widely in design, including literature-based interventions, live teaching sessions, and online courses with durations ranging from 5 min to 24 months. While several interventions demonstrated improvements in skin cancer knowledge and competency by written exams, only a few revealed positive clinical practice changes by biopsy review or referral analysis. Examining successful interventions could aid in developing a skin cancer detection curriculum for PCPs that can produce positive clinical practice and population-based changes in the management of skin cancer.

Does Residual Invasive Disease in Wide Local Excision after Diagnosis with Partial Biopsy Technique Influence Survival in Melanoma? Matched-Pair Analysis of Multicenter Selective Lymphadenectomy Trial I and II

BACKGROUND

Current guidelines recommend excisional/complete biopsy for melanoma diagnosis, owing to high rates of residual disease found at wide local excision (WLE) after partial biopsy techniques. We sought to determine any survival disadvantage associated with the presence of residual invasive melanoma in the WLE after diagnosis with a partial biopsy technique.

STUDY DESIGN

Data were examined from Multicenter Selective Lymphadenectomy Trials I and II (MSLT-I and -II), 2 large melanoma trials. Patients diagnosed with excisional/complete biopsy were excluded. Clinicopathologic characteristics, melanoma-specific survival (MSS), distant disease-free survival (DDFS), and disease-free survival (DFS) of those with residual invasive melanoma in the definitive WLE and those with no residual melanoma were compared. Matched pairing was used to reduce variability between groups.

RESULTS

From 1994 through 2014, 3,939 patients were enrolled in these trials and 874 (22%) were diagnosed using partial biopsy techniques. Of these, 399 (46%) had residual tumor in the WLE. Only 6 patients had residual tumor in their WLE resulting in T-upstaging of their tumor. Match-pairing formed two cohorts (1:1) of patients with and without residual invasive tumor after WLE. A total of 514 patients were paired; 288 (56%) males, 148 (28.8%) aged 60 or older, 192 (37.4%) with truncal melanomas, 214 (41.6%) had Breslow thickness 2 mm or greater, and 376 (73.2%) had positive sentinel nodes. Kaplan-Meier analysis showed no statistical difference in 10-year MSS (73.6% ± 3.3% vs 73.9% ± 3.7%, p = 0.891), DDFS (68.7% ± 3.4% vs 65.3% ± 4.0%, p = 0.548), or DFS (59.6% ± 3.7% vs 59.4% ± 3.9%, p = 0.783).

CONCLUSIONS

Survival in patients with primary melanoma does not appear to be worse in patients who undergo a partial biopsy technique and are later found to have residual invasive tumor in the WLE specimen.