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      Next-generation melanoma prevention efforts for overlooked populations and populations with health disparities: a South African perspective

      editorial
      * , 1 , 2
      Melanoma Management
      Future Medicine Ltd
      health disparities, melanoma, minority groups, pigmented skin, skin cancer

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          Abstract

          Over the past 25 years, we have made progress in melanoma treatment, screening, diagnosis and prevention, however, addressing melanoma health disparities in some population groups is an area in which progress has not kept up [1]. In general, poorer outcomes for melanoma exist for ethnic minorities, people who are less educated, people of lower socio-economic status, the elderly and the uninsured [2]. Ethnic minorities are thought to be about two- to three-times as likely to die from melanoma as age- and sex-matched individuals from nonminority groups [3]. Biological factors may account for some of these differences but several of the underlying mechanisms of these disparities are unclear and under-researched. Furthermore, while numerous epidemiological studies have been carried out on melanoma and its prevention [4,5] we lack comprehensive research on melanoma in ethnic minorities and other overlooked population groups in countries around the world [2]. There is a need to address these disparities in melanoma in overlooked population groups. In countries where there are typically few dermatologists serving the population, the existing dermatology workforce may face additional pressure if melanoma incidence increases and the patient load increases [1]. We may see more overlooked populations seeking assistance with screening and detection of melanoma. In some countries, changing demographics may also mean larger proportions of the population falling into ethnic minority groups, therefore numbers of people seeking healthcare visits may increase. In addition to these pressures, premature deaths [6], lost productivity due to years of life lost [7] and impacts on communities and families are also costs associated with melanoma disparities in overlooked groups. In general, primary and secondary melanoma prevention has focused most of its attention on specific populations and at-risk groups based on the known nonmodifiable and modifiable risk factors for melanoma, among others, presence of naevi, sun exposure, sunbed use, sunburns and phenotype [8,9]. Population-based melanoma prevention messages alerting the public to these risk factors have been largely directed to the general population as well as to high-risk outdoor occupations, high-risk recreation groups, patients postskin cancer diagnosis and organ transplant recipients [10]. Overlooked groups include ethnic minorities, the elderly, the military, the uninsured and people with disabilities [11,12]. Among the elderly, the perceived risk for developing melanoma and inclination to seek a skin examination tends to be low [1]. Health insurance status also influences melanoma outcomes where people seeing their primary care physician in the private sector are more likely to use skin cancer prevention screening, for example, compared with patients using public healthcare [13]. Freeman and Chu's health disparities cancer model is based on the premise that social setting, incorporating poverty, culture and social justice, plays a part in disease outcome [14]. The model infers a relation between social determinants of health and health inequities [15]. Many of the factors related to the successful implementation of cancer prevention, control, and treatment are affected by socially determined factors. One can consider poverty-related barriers that influence melanoma outcomes such as income, education and health insurance, as well as barriers related to social injustice, for example, incorrect assumptions and mistrust [2]. Some barriers influencing melanoma outcomes pertain to culture including risk behaviors, acculturation, skin cancer awareness and knowledge, language fluency and perceptions of skin cancer risk [2]. In general, people with deeply pigmented skin usually perceive that skin cancer is a disease that only affects people with fair skin [16] and while this is in part true since melanoma incidence is higher in people with fair skin [17], melanoma does occur in people with deeply pigmented skin. However, the risk factors associated with melanoma in people with deeply pigmented skin are, in general, poorly understood. Exploring melanoma disparities in people with deeply pigmented skin: a South African perspective South Africa has a dual economy with both formal and informal sectors and is a country with one of the highest inequality rates in the world. In 2014, the Gini coefficient measuring relative wealth for South Africa was 0.69 (1 is perfectly unequal) based on income data including salaries, wages and social grants [18]. In addition to an unequal economy, the South African population of 55.7 million comprises four population groups: 80% Black African, 9% colored (of mixed ancestry), 8% White and 3% Indian/Asian [19]. About 82 out of every 100 people of the country's population seek healthcare in the public sector and only 18 in 100 people have private medical insurance [20]. Furthermore, South Africa is said to battle a quadruple burden of disease that includes HIV/AIDS, high-material and child mortality, high levels of violence and injuries and a growing burden from noncommunicable diseases [21]. Finding studies and data on melanoma morbidity and mortality for overlooked groups in South Africans is challenging. National Cancer Registry data show that melanoma incidence is lower among Black Africans in South Africa compared with White South Africans [17]. The type of melanoma and the anatomic site of melanoma occurrence also differs between population groups, where this information is available. Melanoma in Black Africans is usually acral lentigenous melanoma and commonly occurs on the upper limb/shoulder and lower limb/hip compared with the occurrence on the head and trunk anatomic sites of White South Africans [17]. The 5-year melanoma survival for people with deeply pigmented skin is typically lower compared with that for White populations [2]. The few published studies show later stage of cutaneous melanoma at diagnosis and lower 5-year survival rates among Black South Africans compared with White South Africans [22]. The risk factors for melanoma in people with dark skin are complex and not well understood. It is unlikely that sun exposure plays an important role in the epidemiology of acral lentigenous melanoma, however, trauma, such as insect bites, wounds and scar tissue, may be an important risk factor warranting further research for this population group [22]. Other risk factors such as sex, age and genetics are also important [22]. Contributing factors related to delayed diagnosis seen among Black South Africans are likely to include low-perceived melanoma risk, low index of suspicion of melanoma among healthcare providers and in some cases, suboptimal access to healthcare [22]. If efforts were made to increase secondary melanoma prevention in South Africa and improve early detection of thin melanomas, there may be some pressure placed on the 180 dermatologists practicing in the public and private sectors in the country [23]. If we are to try and address melanoma in Black South Africans, a comprehensive, holistic approach will be needed. What can be done to reduce health disparities in melanoma in overlooked populations? The complexities of preventing melanoma in overlooked population groups, such as Black South Africans and in countries with wide disparities in inequality are challenging [24]. Three board areas, namely research, skills development and treatment, and education and raising awareness need to be addressed if we are to reduce the health disparities that are seen in overlooked populations and minority groups in relation to melanoma. Reliable data and research are needed on the epidemiology of melanoma in overlooked population groups in different countries around the world. For example, we need to explore how socially determined factors influence the inequities that exist in stage of melanoma and survival rates among individuals with dark versus fair skin. There is work to be done to better understand emerging issues, such as the implications of skin bleaching among individuals with dark skin and the subsequent risk, if any, of skin cancer [25]. It would also be helpful if cancer registry records include data about personal ancestry, population group and skin color. This information would be valuable for developing effective interventions and developing melanoma prevention measures and strategies that target vulnerable groups. We need to improve knowledge and awareness of melanoma among medical professionals [12] as well as familiarize clinicians with important features that characterize melanoma and the different forms of melanoma in patients across all Fitzpatrick phototypes with different skin colors [12]. It is also important that we aim to raise awareness about dermatologic health disparities in melanoma among overlooked populations themselves and ensure high-quality treatment and healthcare services for all groups. Many primary and secondary population-based melanoma prevention campaigns have focused on targeting the general population and provided specific messages, such as to check moles, to avoid sunburn and to use sun protection. Messages about sunburn, for example, might not be relevant in terms of melanoma prevention among some overlooked groups, especially for individuals with deeply pigmented skin. Sunburn as a term is not commonly understood among individuals with deeply pigmented skin [26] therefore, messages about sun protection related to sunburn are not helpful to all individuals in a population in relation to melanoma prevention. We need to enhance and expand our efforts to raise awareness about melanoma among ethnic minorities and overlooked groups and include information on early signs of melanoma in pigmented skin [12]. This information needs to be in appropriate formats for different cultures and languages too [16]. Conclusion The complexities of preventing skin cancers in countries with multiethnic populations and wide disparities in inequality, wealth, health status and access to health services are challenging. Several factors contribute to these disparities in melanoma outcomes including social determinants of health and various barriers such as the lack of training for diagnosis and treatment of melanoma among healthcare professionals in public healthcare settings. Next generation melanoma prevention research should include, among others, efforts to identify risk factors for melanoma in overlooked population and populations with disparities in melanoma outcomes. Several of the barriers, while undoubtedly complex, are potentially modifiable and additional research will help to better understand how to tackle these complexities with the end goal of reducing the burden of melanoma morbidity and mortality in overlooked populations and ethnic minorities.

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          Most cited references19

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          Meta-analysis of risk factors for cutaneous melanoma: II. Sun exposure.

          A systematic revision of the literature was conducted in order to undertake a comprehensive meta-analysis of all published observational studies on melanoma. An extensive analysis of the inconsistencies and variability in the estimates was performed to provide some clues about its Epidemiology. Following a systematic literature search, relative risks (RRs) for sun exposure were extracted from 57 studies published before September 2002. Intermittent sun exposure and sunburn history were shown to play considerable roles as risk factors for melanoma, whereas a high occupational sun exposure seemed to be inversely associated to melanoma. The country of study and adjustment of the estimates adjuste for phenotype and photo-type were significantly associated with the variability of the intermittent sun exposure estimates (P = 0.024, 0.003 and 0.030, respectively). For chronic sun exposure, inclusion of controls with dermatological diseases and latitude resulted in significantly different data (P = 0.05 and 0.031, respectively). Latitude was also shown to be important (P = 0.031) for a history of sunburn; studies conducted at higher latitudes presented higher risks for a history of sunburns. Role of country, inclusion of controls with dermatological diseases and other study features seemed to suggest that "well conducted" studies supported the intermittent sun exposure hypothesis: a positive association for intermittent sun exposure and an inverse association with a high continuous pattern of sun exposure.
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            Meta-analysis of risk factors for cutaneous melanoma: III. Family history, actinic damage and phenotypic factors.

            A systematic meta-analysis of observational studies of melanoma and family history, actinic damage and phenotypic factors was conducted as part of a comprehensive meta-analysis of all major risk factors for melanoma. Following a systematic literature search, relative risks were extracted from 60 studies published before September 2002. Fixed and random effects models were used to obtain pooled estimates for family history (RR = 1.74, 1.41-2.14), skin type (I vs. IV: RR = 2.09, 1.67-2.58), high density of freckles (RR = 2.10, 1.80-2.45), skin colour (Fair vs. Dark: RR = 2.06, 1.68-2.52), eye colour (Blue vs. Dark: RR = 1.47, 1.28-1.69) and hair colour (Red vs. Dark: RR = 3.64, 2.56-5.37), pre-malignant and skin cancer lesions (RR = 4.28, 2.80-6.55) and actinic damage indicators (RR = 2.02, 1.24-3.29). Sub-group analysis and meta-regression were carried out to explore sources of between-study variation and bias. Sensitivity analyses investigated reliability of results and publication bias. Latitude and adjustment for phenotype were two study characteristics that significantly influenced the estimates.
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              Is Open Access

              The health burden and economic costs of cutaneous melanoma mortality by race/ethnicity-United States, 2000 to 2006.

              Cutaneous melanoma is the most deadly form of skin cancer with more than 8000 deaths per year in the United States. The health burden and economic costs associated with melanoma mortality by race/ethnicity have not been appropriately addressed. We sought to quantify the health burden and economic costs associated with melanoma mortality among racial/ethnic groups in the United States. We used 2000 to 2006 national mortality data and US life tables to estimate the number of deaths, and years of potential life lost (YPLL). Further, we estimated the economic costs of melanoma mortality in terms of productivity losses. All the estimates were stratified by race/ethnicity and sex. From 2000 to 2006, we estimated an increase of 13,349 (8.7%) YPLL because of melanoma mortality compared with a 2.8% increase among all malignant cancers across all race/ethnicity. On average, an individual in the United States loses 20.4 years of potential life during their lifetime as a result of melanoma mortality compared with 16.6 years for all malignant cancers. The estimated annual productivity loss attributed to melanoma mortality was $3.5 billion. Our estimates suggest that an individual who died from melanoma in 2000 through 2006 would lose an average of $413,370 in forgone lifetime earnings. YPLL rates and total productivity losses are much higher among non-Hispanic whites as compared with non-Hispanic blacks and Hispanics. The estimated economic costs did not include treatment, morbidity, and intangible costs. We estimated substantial YPLL and productivity losses as a result of melanoma mortality during an individual's lifetime. By examining the burden by race/ethnicity, this study provides useful information to assist policy-makers in making informed resource allocation decisions regarding cutaneous melanoma mortality. Copyright © 2011 American Academy of Dermatology, Inc. Published by Mosby, Inc. All rights reserved.
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                Author and article information

                Journal
                Melanoma Manag
                Melanoma Manag
                MMT
                Melanoma Management
                Future Medicine Ltd (London, UK )
                2045-0885
                2045-0893
                September 2018
                10 July 2018
                : 5
                : 3
                : MMT09
                Affiliations
                [1 ]Environment & Health Research Unit, South African Medical Research Council, Pretoria, South Africa
                [2 ]Department of Geography, Geoinformatics & Meteorology, University of Pretoria, Pretoria, South Africa
                Author notes
                *Author for correspondence: Tel.: +27 12 339 8543; cwright@ 123456mrc.ac.za
                Article
                10.2217/mmt-2018-0006
                6240884
                30459940
                13550f58-b42b-4c12-a0dc-61c6a4454412
                © 2018 Caradee Yael Wright

                This work is licensed under the Attribution-NonCommercial-NoDerivatives 4.0 Unported License

                History
                : 29 May 2018
                : 31 May 2018
                : 10 July 2018
                Categories
                Commentary

                health disparities,melanoma,minority groups,pigmented skin,skin cancer

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