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web-based cross-sectional survey  (SVMK Inc)

 
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    SVMK Inc web-based cross-sectional survey
    Web Based Cross Sectional Survey, supplied by SVMK Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/web-based cross-sectional survey/product/SVMK Inc
    Average 90 stars, based on 1 article reviews
    web-based cross-sectional survey - by Bioz Stars, 2026-06
    90/100 stars

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    Observational research on telehealth: research purpose, methodologies, and sample sizes, settings.

    Journal: Frontiers in Sociology

    Article Title: Transgender health issues addressed in research on telehealth use: a scoping review

    doi: 10.3389/fsoc.2024.1371524

    Figure Lengend Snippet: Observational research on telehealth: research purpose, methodologies, and sample sizes, settings.

    Article Snippet: : Acceptance, Use, and Barriers of Telemedicine in Transgender Health Care in Times of SARS-CoV-2: Nationwide Cross-Sectional Survey , Analyzing the acceptance, use, and barriers of telemedicine in transgender healthcare in times of COVID-19 , 2 web-based cross-sectional surveys, descriptive statistics, regression analyses , N = 269 trans-person; N = 202 gynecological endocrinologists.

    Techniques:

    Telehealth tools explicitly referring to COVID-19 and their research purpose, methodologies, sample sizes, and settings.

    Journal: Frontiers in Sociology

    Article Title: Transgender health issues addressed in research on telehealth use: a scoping review

    doi: 10.3389/fsoc.2024.1371524

    Figure Lengend Snippet: Telehealth tools explicitly referring to COVID-19 and their research purpose, methodologies, sample sizes, and settings.

    Article Snippet: : Acceptance, Use, and Barriers of Telemedicine in Transgender Health Care in Times of SARS-CoV-2: Nationwide Cross-Sectional Survey , Analyzing the acceptance, use, and barriers of telemedicine in transgender healthcare in times of COVID-19 , 2 web-based cross-sectional surveys, descriptive statistics, regression analyses , N = 269 trans-person; N = 202 gynecological endocrinologists.

    Techniques: Control