FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2348805663> ?p ?o ?g. }

• W2348805663 abstract "Background: Formative work was conducted with a Hispanic cancer survivor community toward the development of a tailored, literacy-friendly eHealth symptom management application. Ultimately, data will be used to create a symptom monitoring and support system. Theoretical Framework: Cancer is the leading cause of death for Hispanics. Given the heterogeneity of sub-groups, designing appropriate health communications is challenging. Leveraging this population9s increasing use of information and communication technology (ICT), there is potential to provide Hispanic cancer survivors with appropriately tailored eHealth communications. Tailoring is a message design technique that incorporates formally assessed individual characteristics into message design, thus making the message personally relevant.1,2 Tailoring eliminates unessential information; what remains is more personally relevant. When information is relevant, it is more likely to be thoughtfully processed, and thus, more successful in guiding a person to make a suggested behavior change.1 Using a reliable and valid behavior model when designing health communications increases the likelihood for success. This study employed Fishbein9s Integrative Model of Behavioral Prediction. This model has demonstrated to be effective in predicting intention, identifying key variables for intervention, and discriminating audience characteristics.3 Research Questions: Our research questions were as follows: (1) What are survivors9 most common symptoms/side effects post treatment; (2) What strategies do they use to manage symptoms/side effects; (3) How do they use ICT for information or symptom support? (4) What suggestions do they have for the design of eHealth symptom support? Methods: We conducted 3 mixed cancer patient focus groups (n=30). Trained Spanish-speaking facilitators lead the sessions using a moderator9s guide grounded in the research questions. Recorded sessions were translated by a transcription service. Investigators and research assistants systematically examined transcriptions to generate a list of themes. Results: Five key themes emerged: (1) Participants placed high importance on quality patient/medical professional communication; (2) When obtaining information or support, participants preferred to engage with a real person; (3) Participants are open to using various ICT, but recognize not all have access; (4) Depression and stress were the most common side effects; (5) The primary coping mechanism was social support; (6) Participants indicated a desire to connect with other cancer survivors. Discussion: The ability to intervene with Hispanic cancer survivors in a culturally and personally relevant, literacy-friendly manner through an accessible symptom management eHealth application has great potential to address health disparities and contribute to improved health related quality of life with this population. It is critical such applications address the desire for personal communication and high quality relationships with a health professional. This application should also provide an opportunity to connect with similar others. Conclusion: The ability to help Hispanic cancer survivors manage symptoms via a tailored, literacy-friendly manner eHealth application has potential to reduce health disparities among this population and to improve their health-related quality of life. Continued research will support the design of such eHealth applications. (1) Kreuter M, Farrell D, Olevitch L, Brennan L. Tailoring Health Messages: Customizing Communication with Computer Technology. New Jersey: Lawrence Erlbaum Associates; 2000. (2) Victorson D, Mendoza-Temple L, Takagishi C, Brendler C, Shevrin D, Cella D. Tailoring Supportive Care Interventions to Men Diagnosed with Prostate Cancer. Psychooncology. 2009; 18:S1-S58. (3) Fishbein M. The Role of Theory in Developing Effecive Health Communications. Journal of Communication 56, s1-s17. 2006. Citation Format: Jennifer R. Banas, David Victorson, Sandra Gutierrez, Evelyn Cordero, Lucia Flores. Designing eHealth applications to support Hispanic cancer survivors. [abstract]. In: Proceedings of the Sixth AACR Conference: The Science of Cancer Health Disparities; Dec 6–9, 2013; Atlanta, GA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2014;23(11 Suppl):Abstract nr A08. doi:10.1158/1538-7755.DISP13-A08" @default.
• W2348805663 created "2016-06-24" @default.
• W2348805663 creator A5051133217 @default.
• W2348805663 creator A5062803938 @default.
• W2348805663 creator A5070074971 @default.
• W2348805663 creator A5075469693 @default.
• W2348805663 creator A5086075771 @default.
• W2348805663 date "2014-11-01" @default.
• W2348805663 modified "2023-09-26" @default.
• W2348805663 title "Abstract A08: Designing eHealth applications to support Hispanic cancer survivors" @default.
• W2348805663 doi "https://doi.org/10.1158/1538-7755.disp13-a08" @default.
• W2348805663 hasPublicationYear "2014" @default.
• W2348805663 type Work @default.
• W2348805663 sameAs 2348805663 @default.
• W2348805663 citedByCount "0" @default.
• W2348805663 crossrefType "proceedings-article" @default.
• W2348805663 hasAuthorship W2348805663A5051133217 @default.
• W2348805663 hasAuthorship W2348805663A5062803938 @default.
• W2348805663 hasAuthorship W2348805663A5070074971 @default.
• W2348805663 hasAuthorship W2348805663A5075469693 @default.
• W2348805663 hasAuthorship W2348805663A5086075771 @default.
• W2348805663 hasConcept C136764020 @default.
• W2348805663 hasConcept C144133560 @default.
• W2348805663 hasConcept C15744967 @default.
• W2348805663 hasConcept C159110408 @default.
• W2348805663 hasConcept C160735492 @default.
• W2348805663 hasConcept C162324750 @default.
• W2348805663 hasConcept C162853370 @default.
• W2348805663 hasConcept C19417346 @default.
• W2348805663 hasConcept C202645933 @default.
• W2348805663 hasConcept C2778080475 @default.
• W2348805663 hasConcept C2778843546 @default.
• W2348805663 hasConcept C2780665704 @default.
• W2348805663 hasConcept C41008148 @default.
• W2348805663 hasConcept C42525527 @default.
• W2348805663 hasConcept C46312422 @default.
• W2348805663 hasConcept C50522688 @default.
• W2348805663 hasConcept C56995899 @default.
• W2348805663 hasConcept C67363961 @default.
• W2348805663 hasConcept C71924100 @default.
• W2348805663 hasConcept C75630572 @default.
• W2348805663 hasConceptScore W2348805663C136764020 @default.
• W2348805663 hasConceptScore W2348805663C144133560 @default.
• W2348805663 hasConceptScore W2348805663C15744967 @default.
• W2348805663 hasConceptScore W2348805663C159110408 @default.
• W2348805663 hasConceptScore W2348805663C160735492 @default.
• W2348805663 hasConceptScore W2348805663C162324750 @default.
• W2348805663 hasConceptScore W2348805663C162853370 @default.
• W2348805663 hasConceptScore W2348805663C19417346 @default.
• W2348805663 hasConceptScore W2348805663C202645933 @default.
• W2348805663 hasConceptScore W2348805663C2778080475 @default.
• W2348805663 hasConceptScore W2348805663C2778843546 @default.
• W2348805663 hasConceptScore W2348805663C2780665704 @default.
• W2348805663 hasConceptScore W2348805663C41008148 @default.
• W2348805663 hasConceptScore W2348805663C42525527 @default.
• W2348805663 hasConceptScore W2348805663C46312422 @default.
• W2348805663 hasConceptScore W2348805663C50522688 @default.
• W2348805663 hasConceptScore W2348805663C56995899 @default.
• W2348805663 hasConceptScore W2348805663C67363961 @default.
• W2348805663 hasConceptScore W2348805663C71924100 @default.
• W2348805663 hasConceptScore W2348805663C75630572 @default.
• W2348805663 hasLocation W23488056631 @default.
• W2348805663 hasOpenAccess W2348805663 @default.
• W2348805663 hasPrimaryLocation W23488056631 @default.
• W2348805663 hasRelatedWork W2035587339 @default.
• W2348805663 hasRelatedWork W2078579089 @default.
• W2348805663 hasRelatedWork W2103970509 @default.
• W2348805663 hasRelatedWork W2231228115 @default.
• W2348805663 hasRelatedWork W2321350811 @default.
• W2348805663 hasRelatedWork W2439828237 @default.
• W2348805663 hasRelatedWork W2615956231 @default.
• W2348805663 hasRelatedWork W2786902478 @default.
• W2348805663 hasRelatedWork W2802833075 @default.
• W2348805663 hasRelatedWork W2946709386 @default.
• W2348805663 hasRelatedWork W2966318482 @default.
• W2348805663 hasRelatedWork W2966330725 @default.
• W2348805663 hasRelatedWork W2966385124 @default.
• W2348805663 hasRelatedWork W2969767895 @default.
• W2348805663 hasRelatedWork W3003896165 @default.
• W2348805663 hasRelatedWork W3033218321 @default.
• W2348805663 hasRelatedWork W3081053678 @default.
• W2348805663 hasRelatedWork W3184484841 @default.
• W2348805663 hasRelatedWork W3196357497 @default.
• W2348805663 hasRelatedWork W1781377 @default.
• W2348805663 isParatext "false" @default.
• W2348805663 isRetracted "false" @default.
• W2348805663 magId "2348805663" @default.
• W2348805663 workType "article" @default.