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Physician Uncertainty Aversion Impacts Medical Decision Making For Older Patients With Acute Myeloid Leukemia: Results Of A National Survey

Authors :
Antoine Nebout
Sébastien Lamy
Cyrille Delpierre
Célestine Simand
Sandra Malak
Pierre Bories
Christian Recher
Sarah Bertoli
Stéphane Moreau
Luc Fornecker
Diallo, Ousseynatou
Réseau régional de cancérologie Onco-Occitanie
Institut Universitaire du Cancer de Toulouse - Oncopole (IUCT Oncopole - UMR 1037)
Université Toulouse III - Paul Sabatier (UT3)
Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3)
Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Service Hématologie - IUCT-Oncopole [CHU Toulouse]
Pôle Biologie [CHU Toulouse]
Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Pôle IUCT [CHU Toulouse]
Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)
Epidémiologie et analyses en santé publique : risques, maladies chroniques et handicaps (LEASP)
Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)
Service Pharmacologie Clinique [CHU Toulouse]
Pôle Santé publique et médecine publique [CHU Toulouse]
Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)
Alimentation et sciences sociales (ALISS)
Institut National de la Recherche Agronomique (INRA)
Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3)
Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM)
Service d'Hématologie [IUCT Toulouse]
Université Fédérale Toulouse Midi-Pyrénées-Institut Universitaire du Cancer de Toulouse - Oncopole (IUCT Oncopole - UMR 1037)
Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Institut National de la Santé et de la Recherche Médicale (INSERM)
Service de Pharmacologie Clinique
Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Hôpital Purpan [Toulouse]
CHU Toulouse [Toulouse]-CHU Toulouse [Toulouse]
Source :
Haematologica, Haematologica, 2018, 103 (9/September 2018), 39 p. ⟨10.3324/haematol.2018.192468⟩, Haematologica, Ferrata Storti Foundation, 2018, 103 (9/September 2018), 39 p. ⟨10.3324/haematol.2018.192468⟩, Haematologica 9/September 2018 (103), 39 p.. (2018)
Publication Year :
2018
Publisher :
HAL CCSD, 2018.

Abstract

International audience; Elderly patients with acute myeloid leukemia can be treated with intensive chemotherapy, low-intensity therapy such as low-dose aracytine or hypomethylating agents, or best supportive care. The choice between these treatments is a function of many patient-related and physician-related factors. We investigated how physicians' behavioral characteristics, in particular their attitudes towards risk and uncertainty affect medical decision-making between intensive and non-intensive therapy in this setting. A nationwide cross-sectional online survey of hematologists collected data on medical decision-making for six clinical vignettes involving older acute myeloid leukemia patients that were representative of routine practice. Questionnaires elicited physicians' demographic and occupational characteristics along with their individual behavioral characteristics according to decision theory framework. From the pattern of responses to the vignettes, a K-means clustering algorithm was used to distinguish those who were likely to prescribe more intensive therapy and those who were likely to prescribe less intensive or no therapy. Multivariate analyses were used to identify physician characteristics predictive of medical decision-making. We obtained 290 answers to the questionnaire, including 230 assessable answers, which represented an adjusted response rate of 45.4%, calculated according to the American Association of Public Opinion Research. A multivariate model (n=210) revealed that uncertainty averse physicians recommend significantly more IC (OR [95% CI] = 1.15 [1.01;1.30], p=0.039), and that male physicians who do not conform to the expected utility model (assumed as economically irrational) tended to recommend more IC (OR [95% CI] = 3.45 [1.34; 8.85], p=0.01). Patient volume per physician also correlated with therapy intensity (OR [95% CI] = 0.98 [0.96; 0.99], p=0.032). The physicians' medical decision-making was not affected by their age, years of experience, or hospital facility. In this cross-sectional survey, attitudes towards uncertainty attitude influenced a physician’s choice between intensive and non-intensive strategies for older patients with acute myeloid leukemia. This significant association identifies a novel non-biological factor that may affect patient outcomes and explain practice variations. It should also encourage the use of validated predictive models and the description of novel biomarkers to best select patients for intensive chemotherapy or low-intensity therapy.

Details

Language :
English
ISSN :
03906078 and 15928721
Database :
OpenAIRE
Journal :
Haematologica, Haematologica, 2018, 103 (9/September 2018), 39 p. ⟨10.3324/haematol.2018.192468⟩, Haematologica, Ferrata Storti Foundation, 2018, 103 (9/September 2018), 39 p. ⟨10.3324/haematol.2018.192468⟩, Haematologica 9/September 2018 (103), 39 p.. (2018)
Accession number :
edsair.doi.dedup.....63690835082f8dd29a0312351fe9b78b
Full Text :
https://doi.org/10.3324/haematol.2018.192468