Top

Gepubliceerd in:

20-09-2022

Developing skin cancer education materials for darker skin populations: crowdsourced design, message targeting, and acral lentiginous melanoma

Auteurs: Sean J. Upshaw, Jakob D. Jensen, Elizabeth A. Giorgi, Manusheela Pokharel, Helen M. Lillie, Dallin R. Adams, Kevin K. John, Yelena P. Wu, Douglas Grossman

Gepubliceerd in: Journal of Behavioral Medicine | Uitgave 3/2023

Abstract

Despite decreased susceptibility, darker skin individuals who develop melanoma have worse survival. This disparity in melanoma mortality is the largest for any cancer, and partly driven by a lack of patient education materials targeted to darker skin populations in whom acral lentiginous melanoma (ALM) is the most common subtype. To address this communication disparity, the current study reports a multi-phase design process that leverages crowdsourcing and message testing to develop ALM-focused patient education materials for darker skin populations. Crowdsourced design was utilized to develop a pool of designs (phase 1), the pool was narrowed and thematically analyzed (phase 2), and select designs were evaluated via a message experiment (N = 1877). For darker skin populations, designs that depicted people enhanced knowledge of ALM through message memorability. The current study engages melanoma disparities by providing ALM patient education materials for darker skin populations vetted via a multi-phase process.

volgende artikel Results of an African American-targeted norm-based colorectal cancer screening intervention: a pilot study

Alleen toegankelijk voor geautoriseerde gebruikers

Agbai, O. N., Buster, K., Sanchez, M., Hernandez, C., Kundu, R. V., & Lim, H. W. (2014). Skin cancer and photoprotection in people of color: A review and recommendations for physicians and the public. JAMA Dermatology, 70, 748–762. https://doi.org/10.1016/j.jaad.2013.11.038CrossRef

American Cancer Society (2020) Cancer facts & figures 2020 American Cancer Society, Atlanta, GA

Beymer, M. R., Holloway, I. W., & Grov, C. (2018). Behavioral factors among men who have sex with men recruited through Mechanical Turk, Qualtrics, and a HIV/STI clinic-based sample: Implications for researchers and providers. Archives of Sexual Behavior, 47, 133–142.CrossRefPubMed

Bradford, P. T. (2009). Skin cancer in skin of color. Dermatology Nursing, 21, 170–178.PubMedPubMedCentral

Bradford, P. T., Goldstein, A. M., McMaster, M. L., & Tucker, M. A. (2009). Acral lentiginous melanoma: Incidence and survival patterns in the United States, 1986–2005. Archives of Dermatology, 145(4), 427–437. https://doi.org/10.1001/archdermatol.2008.609CrossRefPubMedPubMedCentral

Braun, V., & Clarke, V. (2012). Thematic analysis. In H. Cooper, P. M. Camic, D. L. Long, A. T. Panter, D. Rindskopf, & K. J. Sher (Eds.), APA handbooks in psychology®. APA handbook of research methods in psychology, Vol. 2. Research designs: Quantitative, qualitative, neuropsychological, and biological (p. 57–71). American Psychological Association. https://doi.org/10.1037/13620-004

Brazen, B. C., Gray, T., Farsi, M., & Miller, R. (2020). Acral lentiginous melanoma: A rare variant with unique diagnostic challenges. Cureus, 12, e8424. https://doi.org/10.77592/Fcureus.8424CrossRefPubMedPubMedCentral

Buller, M. K., Bettinghaus, E. P., Fluharty, L., Anderson, P. A., Slater, M. D., Henry, H. L., Liu, X., Fullmer, S., & Buller, D. B. (2019). Improving health communication with photographic images that increase identification in three minority populations. Health Education Research, 34, 145–158.CrossRefPubMedPubMedCentral

Byrd-Miles, K., Toombs, E. L., & Peck, G. L. (2007). Skin cancer in individuals of African, Asian, Latin-American, and American-Indian descent: Differences in incidence, clinical presentation, and survival compared to Caucasians. Journal of Drugs in Dermatology, 6, 10–16.PubMed

Caretti, K. L., Mehregan, D. R., & Mehregan, D. A. (2014). A survey of self-reported skin disease in the elderly African American population. International Journal of Dermatology, 54, 1034–1038. https://doi.org/10.1111/ijd.12520CrossRefPubMed

Cassel, K. D., Tran, A., Murakami-Akatsuka, L., Tanabe-Hanzawa, J., Burnett, T., & Lum, C. (2018). Adapting a skin cancer prevention intervention for multiethnic adolescents. American Journal of Health Behavior, 42, 36–49. https://doi.org/10.5993/AJHB.42.2.4CrossRefPubMed

Chao, L. X., Patterson, S. S., Rademaker, A. W., Liu, D., & Kundu, R. V. (2017). Melanoma perception in people of color: A targeted educational intervention. American Journal of Clinical Dermatology, 18, 419–427. https://doi.org/10.1007/s40257-016-0244-yCrossRefPubMed

Christy, K. R., Jensen, J. D., Sarapin, S. H., Yale, R. N., Weaver, J., & Pokharel, M. (2017). Theorizing the impact of targeted narratives: Model admiration and narrative memorability. Journal of Health Communication, 22, 433–441. https://doi.org/10.1080/10810730.2017.1303555CrossRefPubMed

Collins, A., Joseph, D., & Bielaczyc, K. (2004). Design research: Theoretical and methodological issues. Journal of the Learning Sciences, 13, 15–42. https://doi.org/10.1207/s15327809jls1301_2CrossRef

Créquit, P., Mansouri, G., Benchoufi, M., Vivot, A., & Ravaud, P. (2018). Mapping of crowdsourcing in health: Systematic review. Journal of Medical Internet Research, 20, e187. https://doi.org/10.2196/jmir.9330CrossRefPubMedPubMedCentral

Eilers, S., Bach, D. Q., Gaber, R., Blatt, H., Guevara, Y., Nitsche, K., Kundu, R. V., & Robinson, J. K. (2013). Accuracy of self-report in assessing Fitzpatrick skin phototypes I through VI. JAMA Dermatology, 149, 1289–1294. https://doi.org/10.1001/jamadermatol.2013.6101CrossRefPubMed

Fitzpatrick, T. B. (1988). The validity and practicality of sun-reactive skin types I through VI. Archives of Dermatology, 124, 869–871. https://doi.org/10.1001/archderm.1988.01670060015008CrossRefPubMed

Glanz, K., Carbone, E., & Song, V. (1999). Formative research for developing targeted skin cancer prevention programs for children in multiethnic Hawaii. Health Education Research, 14, 155–166. https://doi.org/10.1093/her/14.2.155CrossRefPubMed

Goodman, J. K., Cryder, C. E., & Cheema, A. (2013). Data collection in a flat world: The strengths and weaknesses of Mechanical Turk samples. Journal of Behavioral Decision Making, 26, 213–224. https://doi.org/10.1002/bdm.1753CrossRef

Griffith, M., Spies, N. C., Krysiak, K., McMichael, J. F., Coffman, A. C., & Griffith, O. L. (2017). CIViC is a community knowledgebase for expert crowdsourcing the clinical interpretation of variants in cancer. Nature Genetics, 49, 170–174. https://doi.org/10.1038/ng.3774CrossRefPubMedPubMedCentral

Guevara, Y., Gaber, R., Clayman, M. L., Gordon, E. J., Friedewald, J., & Robinson, J. K. (2015). Sun protection education for diverse audiences: Need for skin cancer pictures. Journal of Cancer Education, 30, 187–189. https://doi.org/10.1007/s13187-014-0661-7CrossRefPubMedPubMedCentral

Hay, J. L., Berwick, M., Zielaskowski, K., White, K. A., Rodríguez, V. M., Robers, E., Guest, D. D., Sussman, A., Talamantes, Y., Schwartz, M. R., Greb, J., Bigney, J., Kaphingst, K. A., Hunley, K., & Buller, D. B. (2017). Implementing an internet-delivered skin cancer genetic testing intervention to improve sun protection behavior in a diverse population: Protocol for a randomized controlled trial. JMIR Research Protocols, 6, 1–16. https://doi.org/10.2196/resprot.7158CrossRef

Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis (2nd ed.). Guilford Press.

Higgins, S., Nazemi, A., Chow, M., & Wysong, A. (2018). Review of nonmelanoma skin cancer in African Americans, Hispanics, and Asians. Dermatologic Surgery, 44, 903–910. https://doi.org/10.1097/DSS.0000000000001547CrossRefPubMed

Higgins, S., Nazemi, A., Feinstein, S., Chow, M., & Wysong, A. (2019). Clinical presentations of melanoma in African Americans, Hispanics, and Asians. Dermatologic Surgery, 45, 791–801. https://doi.org/10.1097/DSS.0000000000001759CrossRefPubMed

Houts, P. S., Doak, C. C., Doak, L. G., & Loscalzo, M. J. (2006). The role of pictures in improving health communication: A review of research on attention, comprehension, recall, and adherence. Patient Education & Counseling, 61, 173–190. https://doi.org/10.1016/j.pec.2005.05.004CrossRef

Jensen, J. D., King, A. J., Carcioppolo, N., & Davis, L. A. (2012). Why are tailored message more effective? A multiple mediation analysis of a breast cancer screening intervention. Journal of Communication, 62, 851–868. https://doi.org/10.1111/j.1460-2466.2012.01668.xCrossRefPubMed

Jensen, J. D., Carcioppolo, N., King, A. J., Scherr, C. L., Jones, C. L., & Niederdeppe, J. (2014a). The cancer information overload (CIO) scale: Establishing predictive and discriminant validity. Patient Education & Counseling, 94, 90–96.CrossRef

Jensen, J. D., King, A. J., Krakow, M. M., Samadder, N. J., & Morgan, S. E. (2014b). Comparing tailored and narrative worksite interventions at increasing colonoscopy adherence in 50–75: A randomized controlled trial. Social Science & Medicine, 104, 31–40.CrossRef

Jensen, J. D., Pokharel, M., Carcioppolo, N., Upshaw, S., John, K. K., & Katz, R. A. (2020). Cancer information overload: Discriminant validity and relationship to sun safe behavior. Patient Education & Counseling, 103, 309–314.CrossRef

John, K. K., Jensen, J. D., King, A. J., Pokharel, M., & Grossman, D. (2018). Emerging applications of eye-tracking technology in dermatology. Journal of Dermatological Science, 91, 117–123.CrossRef

John, K. K., Jensen, J. D., King, A. J., Ratcliff, C. L., & Grossman, D. (2017). Do pattern-focused visuals improve skin self-examination performance? Explicating the visual skill acquisition model (VSAM). Journal of Health Communication, 22, 732–742.CrossRefPubMedPubMedCentral

Kabigting, F. D., Nelson, F. P., Kauffman, C. L., Popoveniuc, G., Dasanu, C. A., & Alexandrescu, D. T. (2009). Malignant melanoma in African-Americans. Dermatology Online Journal, 15, 3.CrossRefPubMed

Kailas, A., Botwin, A. L., Pritchett, E. N., Jackson-Richards, D., Lewis, S., Sadhwani, D., Desai, S., & Taylor, S. C. (2017). Assessing the effectiveness of knowledge-based interventions in increasing skin cancer awareness, knowledge, and protective behaviors in skin of color populations. Cutis, 100, 235–240.PubMed

Khan, V. J., Dhillon, G., Piso, M., & Schelle, K. (2016). Crowdsourcing user and design research. In P. Markopoulos, J. B. Martens, J. Malins, K. Coninx, & A. Liapis (Eds.), Collaboration in creative design. Berlin: Springer. https://doi.org/10.1007/978-3-319-29155-0_7CrossRef

Kim, M., Boone, S. L., West, D. P., Rademaker, A. W., Liu, D., & Kundu, R. V. (2009). Perception of skin cancer risk by those with ethnic skin. Archives of Dermatology, 145, 207–208. https://doi.org/10.1001/archdermatol.2008.566CrossRefPubMed

King, A. J. (2015). A content analysis of visual cancer information prevalence and use of photographs and illustrations in printed health materials. Health Communication, 7, 722–731. https://doi.org/10.1080/10410236.2013.878778CrossRef

King, A. J., Carcioppolo, N., Grossman, D., John, K. K., & Jensen, J. D. (2015). A randomised test of skin self-examination techniques: ABCDE, ugly duckling sign, and variations in visual image dose. Health Education Journal, 74, 732–742.CrossRef

King, A. J., Gehl, R. W., Grossman, D., & Jensen, J. D. (2013). Skin self-examinations and visual identification of atypical nevi: Comparing individual and crowdsourcing approaches. Cancer Epidemiology, 37, 979–984.CrossRefPubMed

King, A. J., Jensen, J. D., Davis, L. A., & Carcioppolo, N. (2014). Perceived visual informativeness (PVI): Construct and scale development to assess visual health information in printed materials. Journal of Health Communication, 19, 1099–1115.CrossRefPubMedPubMedCentral

Krasnoryadtseva, A., Dalbeth, N., & Petrie, K. J. (2020). The effect of different styles of medical illustration on information comprehension, the perception of educational material and illness beliefs. Patient Education & Counseling, 103, 556–562. https://doi.org/10.1016/j.pec.2019.09.026CrossRef

Kreuter, M., & McClure, S. (2004). The role of culture in health communication. Public Health, 25, 439–455. https://doi.org/10.1146/annurev.publhealth.25.101802.123000CrossRef

Kreuter, M., Skinner, C., Steger-May, K., Holt, C., Bucholtz, C., Clark, E., & Haire-Joshun, D. (2004). Responses to behavior vs culturally tailored cancer communication among African American women. American Journal of Health Behavior, 28, 195–207. https://doi.org/10.5993/AJHB.28.3.1CrossRefPubMed

Kreuter, M., & Wray, R. (2003). Tailored and targeted health communication: Strategies for enhancing information relevance. American Journal of Health Behavior, 27, 227–232. https://doi.org/10.5993/AJHB.27.1.s3.6CrossRef

Kundu, R. V., Kamaria, M., Ortiz, S., West, D. P., Rademaker, A. W., & Robinson, J. K. (2010). Effectiveness of a knowledge-based intervention for melanoma among those with ethnic skin. Journal of the American Academy of Dermatology, 62, 777–784. https://doi.org/10.1016/j.jaad.2009.08.047CrossRefPubMed

Lotenberg, L. D., Schechter, C., & Strand, J. (2012). Segmentation and targeting. In G. Hastings, K. Angus, & C. Bryan (Eds.), The Sage handbook of social marketing (pp. 125–136). Sage.

Louie, P., & Wilkes, R. (2018). Representations of race and skin tone in medical textbook imagery. Social Science & Medicine, 202, 38–42. https://doi.org/10.1016/j.socscimed.2018.02.023CrossRef

Lucas, T., Manning, M., Hayman, J. L., & Blessman, J. (2018). Targeting and tailoring message-framing: The moderating effect of racial identity on receptivity to colorectal cancer screening among African-Americans. Journal of Behavioral Medicine, 41, 747–756.CrossRefPubMed

Mahendraraj, K., Sidhu, K., Lau, C. S., McRoy, G. J., Chamberlain, R. S., & Smith, F. O. (2017). A population-based clinical outcomes study involving 1106 African American patients from the surveillance, epidemiology, and end results (SEER) database (1988–2011). Medicine, 96, 1–8. https://doi.org/10.1097/MD.0000000000006258CrossRef

Massanari, A. L. (2012). DIY design: How crowdsourcing sites are challenging traditional graphic design practice. First Monday. https://doi.org/10.5210/fm.v17i10.4171CrossRef

Moll, J. M. H. (1986). Doctor-patient communication in rheumatology: Studies of visual and verbal perception using educational booklets and other graphic material. Annals of the Rheumatic Diseases, 45, 198–209. https://doi.org/10.1136/ard.45.3.198CrossRefPubMedPubMedCentral

Murphy, S. T., Frank, L. B., Chatterjee, J. S., & Baezconde-Garbanati, L. (2013). Narrative versus nonnarrative: The role of identification, transportation, and emotion in reducing health disparities. Journal of Communication, 63, 116–137.CrossRef

Nadhan, K. S., Chung, C. L., Buchanan, E. M., Shaver, C., Shipman, S., & Cusack, C. A. (2019). Risk factors for keratinocyte carcinoma skin cancer in nonwhite individuals: A retrospective study. Journal of the American Academy of Dermatology, 81, 373–378. https://doi.org/10.1016/j.jaad.2019.01.038CrossRefPubMed

Neuse, W. H. G., Neumann, N. J., Lehmann, P., Jansen, T., & Pledwig, G. (1996). The history of photography in dermatology: Milestones from the roots to the 20th century. Archives of Dermatology, 132, 1492–1498.CrossRefPubMed

Newman, A., Bavik, Y. L., Mount, M., & Shao, B. (2021). Data collection via online platforms: Challenges and recommendations for future research. Applied Psychology, 70, 1380–1402. https://doi.org/10.1111/apps.12302CrossRef

Ong, J. J., Bilardi, J., & Tucker, J. D. (2017). Wisdom of the crowds: Crowd-based development of a logo for a conference using a crowdsourcing contest. Sexually Transmitted Diseases, 44, 630–636. https://doi.org/10.1097/OLQ.0000000000000658CrossRefPubMedPubMedCentral

Peer, E., Brandimarte, L., Samat, S., & Acquisti, A. (2017). Beyond the Turk: Alternative platforms for crowdsourcing behavioral research. Journal of Experimental Social Psychology, 70, 153–163. https://doi.org/10.1016/j.jesp.2017.01.006CrossRef

Petty, R. E., & Wegener, D. T. (1999). The elaboration likelihood model: Current status and controversies. In S. Chaiken & Y. Trope (Eds.), Dual-process theories in social psychology (pp. 41–72). New York, NY: Guilford.

Pichon, L. C., Corral, I., Landrine, H., Mayer, J. A., & Norman, G. J. (2010). Sun-protection behaviors among African Americans. American Journal of Preventive Medicine, 38, 288–295. https://doi.org/10.1016/j.amepre.2009.10.041CrossRefPubMed

Purnell, T. S., Calhoun, E. A., Golden, S. H., Halladay, J. R., Krok-Schoen, J. L., Appelhans, B. M., & Cooper, L. A. (2016). Achieving health equity: Closing the gaps in health care disparities, interventions, and research. Health Affairs, 35(8), 1410–1415. https://doi.org/10.1377/hlthaff.2016.0158CrossRefPubMed

Ratcliff, C. L., Jensen, J. D., Scherr, C. L., Krakow, M., & Crossley, K. (2019). Loss/gain framing, dose, and reactance: A message experiment. Risk Analysis, 39, 2640–2652.CrossRefPubMed

Robinson, J. K., Joshi, K. M., Ortiz, S., & Kundu, R. V. (2011). Melanoma knowledge, perception, and awareness in ethnic minorities in Chicago: Recommendations regarding education. Psycho-Oncology, 20, 313–320. https://doi.org/10.1002/pon.1736CrossRefPubMed

Robinson, J. K., Penedo, F. J., Hay, J. L., & Jablonski, N. G. (2017). Recognizing Latinos’ range of skin pigment and phototypes to enhance skin cancer prevention. Pigment Cell & Melanoma Research, 30, 488–492. https://doi.org/10.1111/pcmr.12598CrossRef

Rouhani, P., Hu, S., & Kirsner, R. S. (2008). Melanoma in hispanic and black Americans. Cancer Control, 15, 248–253. https://doi.org/10.1177/107327480801500308CrossRefPubMed

Saez-Rodriguez, J., Costello, J., Friend, S., Kellen, M. R., Mangravite, L., & Stolovitszky, G. (2016). Crowdsourcing biomedical research: Leveraging communities as innovation engines. Nature Reviews Genetics, 17, 470–486. https://doi.org/10.1038/nrg.2016.69CrossRefPubMedPubMedCentral

Schneider, T. R., Salovey, P., Apanovitch, A. M., Pizarro, J., McCarthy, D., Zullo, J., & Rothman, A. J. (2001). The effects of message framing and ethnic targeting on mammography use among low-income women. Health Psychology, 20, 256–266.CrossRefPubMed

Sheena, T., Scott, F. H., & Bordeaux, J. S. (2018). Improving sun-protective behaviors and self-skin examinations among African Americans: A randomized controlled trial. Dermatology Surgery, 44, 512–518. https://doi.org/10.1097/DSS.0000000000001366CrossRef

Siegel, R. L., Miller, K. D., & Jemal, A. (2020). Cancer statistics. CA: A Cancer Journal for Clinicians, 70, 7–30. https://doi.org/10.3322/caac.21590CrossRefPubMed

Smith, M. K., Cao, B., Fu, R., Zhao, Y., Liu, C., Lazard, A. J., & Tucker, J. D. (2020). Leveraging crowdsourcing for HIV testing posters: A visual content analysis and cognitive responses among Chinese men who have sex with men. Sexually Transmitted Diseases. https://doi.org/10.1097/OLQ.0000000000001213CrossRefPubMedPubMedCentral

Stewart, N., Chandler, J., & Paolacci, G. (2017). Crowdsourcing samples in cognitive science. Trends in Cognitive Science, 21, 736–748. https://doi.org/10.1016/j.tics.2017.06.007CrossRef

Tsafrir, J., & Ohry, A. (2001). Medical illustration: from caves to cyberspace. Health Information and Libraries Journal, 18, 99–109.PubMed

Tsai, M. S., & Chiu, M. W. (2014). Patient-reported frequency of acral surface inspection during skin examination in White and ethnic minority patients. Journal of the American Academy of Dermatology, 71, 249–255. https://doi.org/10.1016/j.jaad.2014.03.032CrossRefPubMedPubMedCentral

Wallerstein, N., & Duran, B. (2010). Community-based participatory research contributions to intervention research: The intersection of science and practice to improve health equity. American Journal of Public Health, 100, S40-S46. https://ajph.aphapublications.org/doi/abs/https://doi.org/10.2105/AJPH.2009.184036

Witte, K. (1994). Fear control and danger control: A test of the extended parallel process model (EPPM). Communication Monographs, 61, 113–134. https://doi.org/10.1080/03637759409376328CrossRef

Wu, X., Eide, M. J., King, J., Saraiya, M., Huang, Y., & Kim, J. (2011). Racial and ethnic variations in incidence and survival of cutaneous melanoma in the United States, 1999–2006. Journal of the American Academy of Dermatology, 65, S26.el-2S6.e.13. https://doi.org/10.1016/j.jaad.2011.05.034CrossRef

Titel: Developing skin cancer education materials for darker skin populations: crowdsourced design, message targeting, and acral lentiginous melanoma
Auteurs: Sean J. Upshaw
Jakob D. Jensen
Elizabeth A. Giorgi
Manusheela Pokharel
Helen M. Lillie
Dallin R. Adams
Kevin K. John
Yelena P. Wu
Douglas Grossman
Publicatiedatum: 20-09-2022
Uitgeverij: Springer US
Gepubliceerd in: Journal of Behavioral Medicine / Uitgave 3/2023
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521
DOI: https://doi.org/10.1007/s10865-022-00362-x

Brief Report

Bohn Stafleu van Loghum

Developing skin cancer education materials for darker skin populations: crowdsourced design, message targeting, and acral lentiginous melanoma

Abstract

Andere artikelen Uitgave 3/2023

Factors associated with HPV vaccination decision-making among Korean American women

The role of everyday activities on likelihood of dietary lapse: an ecological momentary assessment study

Results of an African American-targeted norm-based colorectal cancer screening intervention: a pilot study

Associations between social COVID-19 exposure and psychological functioning

Exploring motivation to quit and risk appraisals of hookah tobacco smoking for self and partner among a member of single and dual smoker couples

The impact of Dietary Weight loss, Aerobic Exercise, and Daylong Movement on Social Cognitive Mediators of Long-term Weight loss

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Log in om toegang te krijgen

Factors associated with HPV vaccination decision-making among Korean American women

The role of everyday activities on likelihood of dietary lapse: an ecological momentary assessment study

Results of an African American-targeted norm-based colorectal cancer screening intervention: a pilot study

Associations between social COVID-19 exposure and psychological functioning

Exploring motivation to quit and risk appraisals of hookah tobacco smoking for self and partner among a member of single and dual smoker couples

The impact of Dietary Weight loss, Aerobic Exercise, and Daylong Movement on Social Cognitive Mediators of Long-term Weight loss