Evidence map›Paper›PMID 33824504›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2021

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 and 7 more

Abstract readMulticenter Study
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Adrià López-FernándezHereditary Cancer Genetics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain.
Guillermo VillacampaOncology Data Science (ODysSey) Group, VHIO, Barcelona, Spain.
Elia GrauHereditary Cancer Program, Duran i Reynals Hospital, Catalan Institute of Oncology, Barcelona, Spain.
Mónica SalinasHereditary Cancer Program, Duran i Reynals Hospital, Catalan Institute of Oncology, Barcelona, Spain.
Esther DarderHereditary Cancer Program, Josep Trueta University Hospital, Catalan Institute of Oncology, Barcelona, Spain.
Estela CarrascoHereditary Cancer Genetics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain.
Sara Torres-EsquiusHereditary Cancer Genetics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain.
Silvia IglesiasHereditary Cancer Program, Duran i Reynals Hospital, Catalan Institute of Oncology, Barcelona, Spain.
Ares SolanesHereditary Cancer Program, Germans Trias i Pujol Hospital, Catalan Institute of Oncology, Barcelona, Spain.
Neus GadeaMedical Oncology Department, Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain.
Angela VelascoHereditary Cancer Program, Josep Trueta University Hospital, Catalan Institute of Oncology, Barcelona, Spain.
Gisela UrgellGenetic Counseling Unit, Arnau de Vilanova University Hospital, Barcelona, Spain.
Maite TorresHereditary Cancer Genetics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain.
Noemí TusetGenetic Counseling Unit, Arnau de Vilanova University Hospital, Barcelona, Spain.
Joan BrunetHereditary Cancer Program, Josep Trueta University Hospital, Catalan Institute of Oncology, Barcelona, Spain.
Sergi CorbellaSchool of Psychology, Education and Sports Sciences. Ramon Llull University-Blanquerna, Barcelona, Spain.
Judith BalmañaHereditary Cancer Genetics Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain. jbalmana@vhio.net.ORCID 0000-0002-0762-6415

Funding

Instituto de Salud Carlos III PI16/01363
6 · The paper itself

Abstract

purposeTo 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.

methodsProspective 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.

resultsBefore 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%).

conclusionThese new delivery models need to recognize challenges associated with age and the psychological characteristics of the population and embrace health-care professionals' preferences.

Indexed as

COVID-19NeoplasmsCohort StudiesCommunicable Disease ControlGenetic Predisposition to DiseaseHumansPandemicsProspective StudiesSARS-CoV-2

Identifiers

PMID33824504
PMCPMC8023774

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.