000135554 001__ 135554
000135554 005__ 20240605121014.0
000135554 0247_ $$2doi$$a10.1016/j.jbi.2020.103439
000135554 0248_ $$2sideral$$a117752
000135554 037__ $$aART-2020-117752
000135554 041__ $$aeng
000135554 100__ $$0(orcid)0000-0002-3843-6796$$aNavarro-Alamán, Javier$$uUniversidad de Zaragoza
000135554 245__ $$aA methodology for the design and development of gamified mobile apps for monitoring cancer survivors
000135554 260__ $$c2020
000135554 5060_ $$aAccess copy available to the general public$$fUnrestricted
000135554 5203_ $$aAn increasing number of cancer patients is treated and recover each year, and consequently there are survivors that require specialized and coordinated follow-up. The physical, social, working, psychological and emotional aspects of these survivors have to be characterized, investigated and treated by multidisciplinary and interdisciplinary teams. Nowadays, oncology community is focused on tracking records of interest in Patient-Reported Outcome (PROs) for patients of different cancer types. In the last years, several articles have proven that PROs are an effective method to improve the management of patient symptoms and, subsequently, clinical care. In this scenario, patient engagement is one of the most relevant aspects for PROs success. In this sense, one of the most promising strategies for increasing engagement is gamification, that is, the introduction of game elements in systems that are not games. Therefore, in this work we introduce a methodology for developing gamification apps for cancer survivors that aims at increasing engagement when collecting PROs data.
000135554 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FEDER/Construyendo Europa desde Aragón$$9info:eu-repo/grantAgreement/ES/DGA/T25-17D$$9info:eu-repo/grantAgreement/ES/MCIU-AEI-FEDER/RTI2018-096986-B-C31
000135554 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000135554 590__ $$a6.317$$b2020
000135554 591__ $$aMEDICAL INFORMATICS$$b3 / 30 = 0.1$$c2020$$dQ1$$eT1
000135554 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b13 / 111 = 0.117$$c2020$$dQ1$$eT1
000135554 592__ $$a1.056$$b2020
000135554 593__ $$aHealth Informatics$$c2020$$dQ1
000135554 593__ $$aComputer Science Applications$$c2020$$dQ1
000135554 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000135554 700__ $$0(orcid)0000-0002-4773-4904$$aLacuesta, Raquel$$uUniversidad de Zaragoza
000135554 700__ $$aGarcia-Magariño, Iván
000135554 700__ $$0(orcid)0000-0001-9895-0837$$aGallardo, Jesús$$uUniversidad de Zaragoza
000135554 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000135554 773__ $$g106 (2020), 103439 [14 pp.]$$pJ. Biomed. Inform$$tJournal of Biomedical Informatics$$x1532-0464
000135554 8564_ $$s796415$$uhttps://zaguan.unizar.es/record/135554/files/texto_completo.pdf$$yPostprint
000135554 8564_ $$s2286534$$uhttps://zaguan.unizar.es/record/135554/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000135554 909CO $$ooai:zaguan.unizar.es:135554$$particulos$$pdriver
000135554 951__ $$a2024-06-05-10:50:23
000135554 980__ $$aARTICLE