A systematic review of mhealth mobile applications for skin care.

Keywords: MHealth, Mobile Applications, Skin Care, Smartphones, Systematic Review, Intelligent Systems.

Abstract

The acquisition of knowledge and integration of new technologies has demonstrated that they can improve access to healthcare services, such as skin care and dermatology diagnostics, through the application of mobile technologies and applications. The introduction of smartphones and tablets, which provide more advanced computing and communication capabilities, has led to a strong emergence of mHealth applications in the market. This systematic review investigates mHealth mobile technologies and applications for skin care. The search was conducted between 2010 and 2022, finding 172 articles that resemble the topic; they were reduced to 32 articles with available text, for this purpose studies that do not contribute to the research were excluded. As a result, it can be concluded that there is a guideline to use mhealth mobile applications and technologies for the care and diagnosis of skin pathologies by combining algorithms, models, techniques and methods through the adoption of intelligent systems. It is worth considering that the integration of mobile applications directly for skin care is in its infancy within the research field, which offers promising results.

Downloads

Download data is not yet available.

References

Bae, J.-S., Lee, S.-H., Choi, K.-S., & Kim, J.-O. (2017). Robust skin-roughness estimation based on co-occurrence matrix. Journal of Visual Communication and Image Representation, 46, 13-22. https://doi.org/10.1016/j.jvcir.2017.03.003
Berndt, R.-D., Preik, P., & Takenga, C. (2019). [TeleDermatology: The teledermatological solution mSkin® for daily practice]. Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete, 70(5), 335-342. https://doi.org/10.1007/s00105-019-4375-y
Borrero, A. Felipe., Vasques, J., & Vargas, R. (2015). Implementation of a Mobile Application to Promote Self-care in Elder Diabetic Patients. En A. Braidot & A. Hadad (Eds.), VI Latin American Congress on Biomedical Engineering CLAIB 2014, Paraná, Argentina 29, 30 & 31 October 2014 (pp. 797-800). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-13117-7_203
Coates, S. J., Kvedar, J., & Granstein, R. D. (2015a). Teledermatology: From historical perspective to emerging techniques of the modern era: part I: History, rationale, and current practice. Journal of the American Academy of Dermatology, 72(4), 563-574; quiz 575-576. https://doi.org/10.1016/j.jaad.2014.07.061
Coates, S. J., Kvedar, J., & Granstein, R. D. (2015b). Teledermatology: From historical perspective to emerging techniques of the modern era: part II: Emerging technologies in teledermatology, limitations and future directions. Journal of the American Academy of Dermatology, 72(4), 577-586; quiz 587-588. https://doi.org/10.1016/j.jaad.2014.08.014
Diaz, A., Pineda, D., & Rangel, E. (s. f.). La ley de Moore: Nada es eterno en la computacio´n. 8.
Dugas, M., Crowley, K., Gao, G. G., Xu, T., Agarwal, R., Kruglanski, A. W., & Steinle, N. (2018). Individual differences in regulatory mode moderate the effectiveness of a pilot mHealth trial for diabetes management among older veterans. PloS One, 13(3), e0192807. https://doi.org/10.1371/journal.pone.0192807
El Mercado de Aplicaciones Móviles Tendencias. (2017, julio 7). Recuperado 16 de marzo de 2022, de Go-Host website: https://gohost.com.mx/el-mercado-de-aplicaciones-moviles-2017-estadisticas-tendencias-y-analisis/
Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115-118. https://doi.org/10.1038/nature21056
Evans, R. (s. f.). IMS Institute for Healthcare Informatics [Text]. https://doi.org/10.7748/ns2014.04.28.32.30.s36
Giotis, I., Molders, N., Land, S., Biehl, M., Jonkman, M. F., & Petkov, N. (2015). MED-NODE: A computer-assisted melanoma diagnosis system using non-dermoscopic images. Expert Systems with Applications, 42(19), 6578-6585. https://doi.org/10.1016/j.eswa.2015.04.034
Hartanto, C. A., & Wibowo, A. (2020). Development of Mobile Skin Cancer Detection using Faster R-CNN and MobileNet v2 Model. 2020 7th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 58-63. https://doi.org/10.1109/ICITACEE50144.2020.9239197
Jun, Y. J., Shin, D., Choi, W. J., Hwang, J. H., Kim, H., Kim, T. G., … Hong, J. P. (Jp). (2016). A Mobile Application for Wound Assessment and Treatment: Findings of a User Trial. The International Journal of Lower Extremity Wounds, 15(4), 344-353. https://doi.org/10.1177/1534734616678522
Karargyris, A., Karargyris, O., & Pantelopoulos, A. (2012). DERMA/Care: An Advanced image-Processing Mobile Application for Monitoring Skin Cancer. 2012 IEEE 24th International Conference on Tools with Artificial Intelligence, 2, 1-7. https://doi.org/10.1109/ICTAI.2012.180
Kitchenham, B. (2004). Procedures for Performing Systematic Reviews. Keele, UK, Keele Univ., 33.
Kitchenham, B., & Charters, S. (2007). Guidelines for performing Systematic Literature Reviews in Software Engineering. 2.
Li, H.-H., Liao, Y.-H., Huang, Y.-N., & Cheng, P.-J. (2020). Based on machine learning for personalized skin care products recommendation engine. 2020 International Symposium on Computer, Consumer and Control (IS3C), 460-462. https://doi.org/10.1109/IS3C50286.2020.00125
Liaw, S. T. (1993). Patient and general practitioner perceptions of patient-held health records. Family practice, 10(4), 406-415.
Marketing móvil en 2018: Datos y tendencias que debes conocer. (2018, abril 24). Recuperado 29 de marzo de 2022, de Dyadigital website: https://dyadigital.com/noticias-marketing/todo-lo-que-debes-saber-sobre-el-marketing-movil-en-2018/
Moreno-Ramírez, D., & Argenziano, G. (2017). Teledermatology and Mobile Applications in the Management of Patients with Skin Lesions. Acta Dermato Venereologica, 0. https://doi.org/10.2340/00015555-2718
Othman, M., Halil, N. M., Yusof, M. M., Mohamed, R., & Abdullah, M. H. A. (2018). Empowering Self-Management through M-Health Applications. MATEC Web of Conferences, 150, 05018. https://doi.org/10.1051/matecconf/201815005018
Parmanto, B., Pramana, G., Yu, D. X., Fairman, A. D., & Dicianno, B. E. (2015). Development of mHealth system for supporting self-management and remote consultation of skincare. BMC Medical Informatics and Decision Making, 15(1), 114. https://doi.org/10.1186/s12911-015-0237-4
Pérez-Gandía, C., García-Sáez, G., Subías, D., Rodríguez-Herrero, A., Gómez, E. J., Rigla, M., & Hernando, M. E. (2018). Decision Support in Diabetes Care: The Challenge of Supporting Patients in Their Daily Living Using a Mobile Glucose Predictor. Journal of Diabetes Science and Technology, 12(2), 243-250. https://doi.org/10.1177/1932296818761457
Phongtraychack, A., & Dolgaya, D. (2018). Evolution of Mobile Applications. MATEC Web of Conferences, 155, 01027. https://doi.org/10.1051/matecconf/201815501027
Puente-Mansilla, F., Boza-Quispe, G., Lapa-Velasquez, G., Matos-Avalos, C., & Rosales-Huamani, J. (2016). A wearable UV sensor and accessible smartphone application for blind people. 2016 IEEE International Symposium on Consumer Electronics (ISCE), 81-82. Sao Paulo, Brazil: IEEE. https://doi.org/10.1109/ISCE.2016.7797382
Romero, G., Garrido, J. A., & García-Arpa, M. (2008). Telemedicina y teledermatología (I): Concepto y aplicaciones. Actas Dermo-Sifiliográficas, 99(7), 506-522. https://doi.org/10.1016/S0001-7310(08)74735-5
Sáenz, J. P., Novoa, M. P., Correal, D., & Eapen, B. R. (2017). Skinhealth, A Mobile Application for Supporting Teledermatology: A Case Study in a Rural Area in Colombia. En P. Perego, G. Andreoni, & G. Rizzo (Eds.), Wireless Mobile Communication and Healthcare (pp. 160-163). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-58877-3_21
Sarwar, C. M. S., Vaduganathan, M., Anker, S. D., Coiro, S., Papadimitriou, L., Saltz, J., … Butler, J. (2018). Mobile health applications in cardiovascular research. International Journal of Cardiology, 269, 265-271. https://doi.org/10.1016/j.ijcard.2018.06.039
Tellez, W. A., Nieto-Gutierrez, W., & Taype-Rondan, A. (2017). Sunscreen mobile apps: A content analysis. European Research in Telemedicine / La Recherche Européenne En Télémédecine, 6(3-4), 157-163. https://doi.org/10.1016/j.eurtel.2017.08.001
Trawley, S., Browne, J. L., Hagger, V. L., Hendrieckx, C., Holmes-Truscott, E., Pouwer, F., … Speight, J. (2016). The Use of Mobile Applications Among Adolescents with Type 1 Diabetes: Results from Diabetes MILES Youth—Australia. Diabetes Technology & Therapeutics, 18(12), 813-819. https://doi.org/10.1089/dia.2016.0233
WHO Global Observatory for eHealth. (2011). mHealth: New horizons for health through mobile technologies: second global survey on eHealth. World Health Organization. Recuperado de World Health Organization website: https://apps.who.int/iris/handle/10665/44607
Published
2021-11-17