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      Information Architects: Using Community-Engaged and Qualitative Methods to Design a Technology-Based Nutrition and Cancer Risk Intervention for Rural Adults

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          Abstract

          Background

          Nearly half of all cancer deaths are preventable through modification or avoidance of key risk factors. As such, there is a growing urgency to identify effective, low-resource, and scalable technologies that support clinical care and patient self-management of health behaviors.

          Purpose

          Informed by theories of cognitive load and user-centered design approaches, we develop a culturally tailored, multicomponent digital intervention to engage rural adults between 50-73 years old with their personalized nutrition risk factors for colorectal cancer (CRC) prevention.

          Method

          A total of 48 adults tested a Virtual Health Assistant (VHA) prototype during focus groups in individual think-aloud interviews to facilitate iterative adaptations to a web-based CRC prevention intervention. Qualitative data was analyzed to identify user needs and preferences related to information and with a focus on avoiding cognitive overload.

          Results

          The VHA serves as a conceptual pre-training for users helping them understand CRC prevention key concepts and engendering motivation to act on the promoted behavior. A website was identified as a strategy to fill information gaps and present actionable information, after the VHA interaction. Cognitive load reducing strategies were used including segmenting where information is presented in learner-controlled segments rather than continuously.

          Conclusions

          Findings indicate potential benefits of designing CRC prevention information technologies with the rural older adults. Integrating patient-centered needs before launching health information web content will be important as the rapid growth of telemedicine aims to reach traditionally marginalized and underserved populations. Theoretically informed considerations for potential adverse outcomes (eg, information overload) are discussed.

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          Most cited references52

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          One size fits all? What counts as quality practice in (reflexive) thematic analysis?

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            A General Inductive Approach for Analyzing Qualitative Evaluation Data

            D R Thomas (2006)
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              Proportion and number of cancer cases and deaths attributable to potentially modifiable risk factors in the United States

              Contemporary information on the fraction of cancers that potentially could be prevented is useful for priority setting in cancer prevention and control. Herein, the authors estimate the proportion and number of invasive cancer cases and deaths, overall (excluding nonmelanoma skin cancers) and for 26 cancer types, in adults aged 30 years and older in the United States in 2014, that were attributable to major, potentially modifiable exposures (cigarette smoking; secondhand smoke; excess body weight; alcohol intake; consumption of red and processed meat; low consumption of fruits/vegetables, dietary fiber, and dietary calcium; physical inactivity; ultraviolet radiation; and 6 cancer-associated infections). The numbers of cancer cases were obtained from the Centers for Disease Control and Prevention (CDC) and the National Cancer Institute; the numbers of deaths were obtained from the CDC; risk factor prevalence estimates were obtained from nationally representative surveys; and associated relative risks of cancer were obtained from published, large-scale pooled analyses or meta-analyses. In the United States in 2014, an estimated 42.0% of all incident cancers (659,640 of 1570,975 cancers, excluding nonmelanoma skin cancers) and 45.1% of cancer deaths (265,150 of 587,521 deaths) were attributable to evaluated risk factors. Cigarette smoking accounted for the highest proportion of cancer cases (19.0%; 298,970 cases) and deaths (28.8%; 169,180 deaths), followed by excess body weight (7.8% and 6.5%, respectively) and alcohol intake (5.6% and 4.0%, respectively). Lung cancer had the highest number of cancers (184,970 cases) and deaths (132,960 deaths) attributable to evaluated risk factors, followed by colorectal cancer (76,910 cases and 28,290 deaths). These results, however, may underestimate the overall proportion of cancers attributable to modifiable factors, because the impact of all established risk factors could not be quantified, and many likely modifiable risk factors are not yet firmly established as causal. Nevertheless, these findings underscore the vast potential for reducing cancer morbidity and mortality through broad and equitable implementation of known preventive measures. CA Cancer J Clin 2018;68:31-54. © 2017 American Cancer Society.

                Author and article information

                Journal
                Cancer Control
                spccx
                CCX
                Cancer Control : Journal of the Moffitt Cancer Center
                SAGE Publications (Sage CA: Los Angeles, CA )
                1073-2748
                1526-2359
                15 March 2023
                Jan-Dec 2023
                : 30
                : 10732748221130162
                Affiliations
                [1 ]Department of Family, Youth and Community Sciences, Ringgold 3463, universityUniversity of Florida; , Gainesville, FL, USA
                [2 ]STEM Translational Communication Center, Ringgold 3463, universityUniversity of Florida; , Gainesville, FL, USA
                [3 ]Computer & Information Sciences & Engineering, Ringgold 3463, universityUniversity of Florida; , Gainesville, FL, USA
                Author notes
                [*]Melissa J. Vilaro, PhD, MPH, Institute of Food and Agricultural Sciences, Department of Family, Youth and Community Sciences, University of Florida, PO Box 110310, Gainesville, FL 32611-310, USA. Email: mgraveley@ 123456ufl.edu
                Author information
                https://orcid.org/0000-0003-3975-0274
                Article
                10.1177_10732748221130162
                10.1177/10732748221130162
                10017944
                36919704
                f18fcfb7-76bf-40d7-8744-1210c2340b8e
                © The Author(s) 2023

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 17 December 2021
                : 25 July 2022
                : 15 September 2022
                Funding
                Funded by: National Cancer Institute, FundRef https://doi.org/10.13039/100000054;
                Award ID: 3R01CA207689-03S2
                Award ID: T32CA257923
                Categories
                Intelligent Healthcare for Medical Decision Making: AI and Big Data for Cancer Prevention-Original Research Article
                Custom metadata
                ts10
                January-December 2023

                telehealth,cognitive load,colorectal cancer prevention,website design,digital health interventions,rural health disparities,qualitative

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