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      Honoring the Care Experiences of Chinese Canadian Survivors of Prostate Cancer to Cultivate Cultural Safety and Relationality in Digital Health: Exploratory-Descriptive Qualitative Study

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          Abstract

          Background

          Prostate cancer (PCa) is the most commonly diagnosed nonskin cancer for Canadian men and has one of the highest 5-year survival rates, straining systems to provide care. Virtual care can be one way to relieve this strain, but survivors’ care needs and technology use are influenced by intersecting social and cultural structures. Cultural adaptation has been posited as an effective method to tailor existing interventions to better serve racialized communities, including Chinese men. However, cultural adaptations may inadvertently draw attention away from addressing structural inequities.

          Objective

          This study used qualitative methods to (1) explore the perceptions and experiences of Chinese Canadian PCa survivors with follow-up and virtual care, and (2) identify implications for the cultural adaptation of a PCa follow-up care app, the Ned (no evidence of disease) Clinic.

          Methods

          An axiology of relational accountability and a relational paradigm underpinned our phenomenologically informed exploratory-descriptive qualitative study design. A community-based participatory approach was used, informed by cultural safety and user-centered design principles, to invite Chinese Canadian PCa survivors and their caregivers to share their stories. Data were inductively analyzed to explore their unmet needs, common experiences, and levels of digital literacy.

          Results

          Unmet needs and technology preferences were similar to broader trends within the wider community of PCa survivors. However, participants indicated that they felt uncomfortable, unable to, or ignored when expressing their needs. Responses spoke to a sense of isolation and reflected a reliance on culturally informed coping mechanisms, such as “eating bitterness,” and familial assistance to overcome systemic barriers and gaps in care. Moreover, virtual care was viewed as “better than nothing;” it did not change a perceived lack of focus on improving quality of life or care continuity in survivorship care. Systemic changes were identified as likely to be more effective in improving care delivery and well-being rather than the cultural adaptation of Ned for Chinese Canadians. Participants’ desires for care reflected accessibility issues that were not culturally specific to Chinese Canadians.

          Conclusions

          Chinese Canadian survivors are seeking to strengthen their connections in a health care system that provides privacy and accessibility, protects relationality, and promotes transparency, accountability, and responsibility. Designing “trickle-up” adaptations that address structural inequities and emphasize accessibility, relationality, and privacy may be more effective and efficient at improving care than creating cultural adaptations of interventions.

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          Most cited references75

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          Using thematic analysis in psychology

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            Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

            Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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              Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups.

              Qualitative research explores complex phenomena encountered by clinicians, health care providers, policy makers and consumers. Although partial checklists are available, no consolidated reporting framework exists for any type of qualitative design. To develop a checklist for explicit and comprehensive reporting of qualitative studies (in depth interviews and focus groups). We performed a comprehensive search in Cochrane and Campbell Protocols, Medline, CINAHL, systematic reviews of qualitative studies, author or reviewer guidelines of major medical journals and reference lists of relevant publications for existing checklists used to assess qualitative studies. Seventy-six items from 22 checklists were compiled into a comprehensive list. All items were grouped into three domains: (i) research team and reflexivity, (ii) study design and (iii) data analysis and reporting. Duplicate items and those that were ambiguous, too broadly defined and impractical to assess were removed. Items most frequently included in the checklists related to sampling method, setting for data collection, method of data collection, respondent validation of findings, method of recording data, description of the derivation of themes and inclusion of supporting quotations. We grouped all items into three domains: (i) research team and reflexivity, (ii) study design and (iii) data analysis and reporting. The criteria included in COREQ, a 32-item checklist, can help researchers to report important aspects of the research team, study methods, context of the study, findings, analysis and interpretations.
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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J Med Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                2023
                28 December 2023
                : 25
                : e49349
                Affiliations
                [1 ] Centre for Digital Therapeutics Techna Institute University Health Network Toronto, ON Canada
                [2 ] Institute of Health Policy, Management and Evaluation Dalla Lana School of Public Health University of Toronto Toronto, ON Canada
                [3 ] Department of Epidemiology, Biostatistics and Occupational Health McGill University Montreal, QC Canada
                [4 ] School of Public Policy University of Calgary Calgary, AB Canada
                [5 ] Men’s Health Research Program University of British Columbia Vancouver, BC Canada
                [6 ] Toronto General Hospital Research Institute University Health Network Toronto, ON Canada
                [7 ] Telfer School of Management University of Ottawa Ottawa, ON Canada
                [8 ] School of Public Health Sciences University of Waterloo Waterloo, ON Canada
                Author notes
                Corresponding Author: Quynh Pham q.pham@ 123456uhn.ca
                Author information
                https://orcid.org/0000-0002-5101-2568
                https://orcid.org/0000-0001-5060-0184
                https://orcid.org/0009-0002-3172-4872
                https://orcid.org/0000-0002-0241-929X
                https://orcid.org/0000-0001-5759-7993
                https://orcid.org/0000-0001-5504-9707
                https://orcid.org/0009-0008-6969-4131
                https://orcid.org/0000-0002-0540-4181
                Article
                v25i1e49349
                10.2196/49349
                10784982
                38153784
                269035ff-3ccf-443a-9a1d-4505aae2ca25
                ©Karen Young, Ting Xiong, Rachel Lee, Ananya Tina Banerjee, Myles Leslie, Wellam Yu Ko, Julia Yu Jia Guo, Quynh Pham. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 28.12.2023.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 25 May 2023
                : 6 June 2023
                : 31 July 2023
                : 28 November 2023
                Categories
                Original Paper
                Original Paper

                Medicine
                digital health,virtual care,digital therapeutics,prostate cancer,cancer survivorship,social determinants of health,structural determinants of health,supportive care,cultural adaptation,chinese canadians

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