US and Dutch Perspectives on the Use of COVID-19 Clinical Prediction Models:Findings from a Qualitative Analysis

Introduction: Clinical prediction models (CPMs) for coronavirus disease 2019 (COVID-19) may support clinical decision making, treatment, and communication. However, attitudes about using CPMs for COVID-19 decision making are unknown. Methods: Online focus groups and interviews were conducted among health care providers, survivors of COVID-19, and surrogates (i.e., loved ones/surrogate decision makers) in the United States and the Netherlands. Semistructured questions explored experiences about clinical decision making in COVID-19 care and facilitators and barriers for implementing CPMs. Result... Mehr ...

Verfasser: Basile, Melissa J
Helmrich, I R A Retel
Park, Jinny G
Polo, Jennifer
Rietjens, Judith A C
van Klaveren, David
Zanos, Theodoros P
Nelson, Jason
Lingsma, Hester F
Kent, David M
Alsma, Jelmer
Verdonschot, R J C G
Hajizadeh, Negin
Dokumenttyp: Artikel
Erscheinungsdatum: 2023
Reihe/Periodikum: Basile , M J , Helmrich , I R A R , Park , J G , Polo , J , Rietjens , J A C , van Klaveren , D , Zanos , T P , Nelson , J , Lingsma , H F , Kent , D M , Alsma , J , Verdonschot , R J C G & Hajizadeh , N 2023 , ' US and Dutch Perspectives on the Use of COVID-19 Clinical Prediction Models : Findings from a Qualitative Analysis ' , Medical Decision Making , vol. 43 , no. 4 , 272989X231152852 , pp. 445-460 . https://doi.org/10.1177/0272989x231152852
Schlagwörter: /dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being / name=SDG 3 - Good Health and Well-being
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-27073005
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://pure.eur.nl/en/publications/11ff63b7-b950-4f17-b715-9969f4236500

Introduction: Clinical prediction models (CPMs) for coronavirus disease 2019 (COVID-19) may support clinical decision making, treatment, and communication. However, attitudes about using CPMs for COVID-19 decision making are unknown. Methods: Online focus groups and interviews were conducted among health care providers, survivors of COVID-19, and surrogates (i.e., loved ones/surrogate decision makers) in the United States and the Netherlands. Semistructured questions explored experiences about clinical decision making in COVID-19 care and facilitators and barriers for implementing CPMs. Results: In the United States, we conducted 4 online focus groups with 1) providers and 2) surrogates and survivors of COVID-19 between January 2021 and July 2021. In the Netherlands, we conducted 3 focus groups and 4 individual interviews with 1) providers and 2) surrogates and survivors of COVID-19 between May 2021 and July 2021. Providers expressed concern about CPM validity and the belief that patients may interpret CPM predictions as absolute. They described CPMs as potentially useful for resource allocation, triaging, education, and research. Several surrogates and people who had COVID-19 were not given prognostic estimates but believed this information would have supported and influenced their decision making. A limited number of participants felt the data would not have applied to them and that they or their loved ones may not have survived, as poor prognosis may have suggested withdrawal of treatment. Conclusions: Many providers had reservations about using CPMs for people with COVID-19 due to concerns about CPM validity and patient-level interpretation of the outcome predictions. However, several people who survived COVID-19 and their surrogates indicated that they would have found this information useful for decision making. Therefore, information provision may be needed to improve provider-level comfort and patient and surrogate understanding of CPMs. While clinical prediction models (CPMs) may provide an objective ...