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Patients’ and professionals’ perspective of non-in-person visits in hereditary cancer: predictors and impact of the COVID-19 pandemic

  • Adrià López-Fernández
  • , Guillermo Villacampa
  • , Elia Grau
  • , Mónica Salinas
  • , Esther Darder
  • , Estela Carrasco
  • , Sara Torres-Esquius
  • , Silvia Iglesias
  • , Ares Solanes
  • , Neus Gadea
  • , Angela Velasco
  • , Gisela Urgell
  • , Maite Torres
  • , Noemí Tuset
  • , Joan Brunet
  • , Sergi Corbella
  • , Judith Balmaña*
  • *Corresponding author for this work

    Research output: Indexed journal article Articlepeer-review

    4 Citations (Scopus)

    Abstract

    Purpose: To identify predictors of patient acceptance of non-in-person cancer genetic visits before and after the COVID-19 pandemic and assess the preferences of health-care professionals. Methods: Prospective multicenter cohort study (N = 578, 1 February 2018–20 April 2019) and recontacted during the COVID-19 lockdown in April 2020. Health-care professionals participated in May 2020. Association of personality traits and clinical factors with acceptance was assessed with multivariate analysis. Results: Before COVID-19, videoconference was more accepted than telephone-based visits (28% vs. 16% pretest, 30% vs. 19% post-test). Predictors for telephone visits were age (pretest, odds ratio [OR] 10-year increment = 0.79; post-test OR 10Y = 0.78); disclosure of panel testing (OR = 0.60), positive results (OR = 0.52), low conscientiousness group (OR = 2.87), and post-test level of uncertainty (OR = 0.93). Predictors for videoconference were age (pretest, OR 10Y = 0.73; post-test, OR 10Y = 0.75), educational level (pretest: OR = 1.61), low neuroticism (pretest, OR = 1.72), and post-test level of uncertainty (OR = 0.96). Patients’ reported acceptance for non-in-person visits after COVID-19 increased to 92% for the pretest and 85% for the post-test. Health-care professionals only preferred non-in-person visits for disclosure of negative results (83%). Conclusion: These new delivery models need to recognize challenges associated with age and the psychological characteristics of the population and embrace health-care professionals’ preferences.

    Original languageEnglish
    Pages (from-to)1450-1457
    Number of pages8
    JournalGenetics in Medicine
    Volume23
    Issue number8
    DOIs
    Publication statusPublished - Aug 2021

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

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