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      The Preferences of Transgender and Nonbinary People for Virtual Health Care After the COVID-19 Pandemic in Canada: Cross-sectional Study

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          Abstract

          Background

          Virtual health care use has dramatically increased in response to the COVID-19 pandemic, raising the question of its potential role after the pandemic. For transgender (trans) and nonbinary (TNB) people, virtual care is promising because it may expand access to appropriate health care providers. However, emerging research indicates potential disparities in virtual care access related to sociodemographic, health, and social factors. There is a paucity of research on the factors affecting patient preferences for virtual versus in-person care, particularly in TNB communities.

          Objective

          This study aimed to identify the sociodemographic, health, and social factors associated with postpandemic virtual care preferences in TNB communities.

          Methods

          The 2020 Trans PULSE Canada COVID survey examined the health, social, and economic impacts of the COVID-19 pandemic among 820 TNB participants who previously completed the prepandemic 2019 Trans PULSE Canada survey (n=2783). Data were weighted to the demographics of the 2019 sample. Chi-square tests were used to compare postpandemic preferences for virtual versus in-person care across sociodemographic, health, and social characteristics. Participants provided open-text responses explaining their preferences, which were used to contextualize quantitative findings.

          Results

          Among 812 participants who indicated whether they would prefer virtual or in-person care after the pandemic, a weighted 32.7% (n=275) would prefer virtual care and 67.3% (n=537) would prefer in-person care. Preference for in-person over virtual care was associated with being in the 14-19 (49/56, weighted 85.0%), 50-64 (51/62, weighted 80.0%), and ≥65 (9/10, weighted 90.7%) age groups ( χ 2 5=19.0; P=.002). Preference for virtual over in-person care was associated with having a chronic health condition (125/317, weighted 37.7% versus 150/495, weighted 29.9%; χ 2 1=4.7; P=.03) and having probable anxiety (229/645, weighted 34.7% versus 46/167, weighted 25.7%; χ 2 1=4.3; P=.04). Among participants with romantic partners, preferences varied based on the partner’s level of support for gender identity or expression ( χ 2 3=13.3; P=.004). Participants with moderately supportive partners were more likely than participants with very supportive partners to prefer in-person care (36/43, weighted 85.1% versus 275/445, weighted 62.3%). Care preferences did not vary significantly based on the indicators of socioeconomic status. Open-text responses showed that multiple factors often interacted to influence participant preferences, and that some factors, such as having a chronic condition, simultaneously led some participants to prefer virtual care and others to prefer in-person care.

          Conclusions

          TNB people may have differential interest in virtual care based on factors including age, chronic and mental health conditions, and gender-unsupportive home environments. Future research examining virtual care preferences would benefit from mixed methods intersectional approaches across these factors, to explore complexity in the barriers and facilitators of virtual care access and quality. These observed differences support flexibility with options to choose between in-person and virtual health care to meet TNB patients’ specific health needs.

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          Most cited references24

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          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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            Screening for Depression in Well Older Adults: Evaluation of a Short Form of the CES-D

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              The problem with the phrase women and minorities: intersectionality-an important theoretical framework for public health.

              Intersectionality is a theoretical framework that posits that multiple social categories (e.g., race, ethnicity, gender, sexual orientation, socioeconomic status) intersect at the micro level of individual experience to reflect multiple interlocking systems of privilege and oppression at the macro, social-structural level (e.g., racism, sexism, heterosexism). Public health's commitment to social justice makes it a natural fit with intersectionality's focus on multiple historically oppressed populations. Yet despite a plethora of research focused on these populations, public health studies that reflect intersectionality in their theoretical frameworks, designs, analyses, or interpretations are rare. Accordingly, I describe the history and central tenets of intersectionality, address some theoretical and methodological challenges, and highlight the benefits of intersectionality for public health theory, research, and policy.
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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
                October 2022
                26 October 2022
                26 October 2022
                : 24
                : 10
                : e40989
                Affiliations
                [1 ] Department of Epidemiology and Biostatistics Schulich School of Medicine & Dentistry Western University London, ON Canada
                [2 ] Department of Epidemiology and Biostatistics Dornsife School of Public Health Drexel University Philadelphia, PA United States
                Author notes
                Corresponding Author: Jose M Navarro jnavarr9@ 123456uwo.ca
                Author information
                https://orcid.org/0000-0003-4941-336X
                https://orcid.org/0000-0001-8498-9829
                https://orcid.org/0000-0003-0663-7160
                Article
                v24i10e40989
                10.2196/40989
                9611101
                36170497
                493dee34-e2ec-4770-bdf8-1241c9a40f9a
                ©Jose M Navarro, Ayden I Scheim, Greta R Bauer. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 26.10.2022.

                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
                : 23 July 2022
                : 11 August 2022
                : 8 September 2022
                : 9 September 2022
                Categories
                Original Paper
                Original Paper

                Medicine
                virtual care,telemedicine,telehealth,ehealth,transgender,gender identity,covid-19,gender-affirming care,older adult,mental health,chronic condition,social support

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