Do Behavioral Characteristics Influence the Breast Cancer Diagnosis Delay? Evidence From French Retrospective Data

Christine Le Clainche, Antoine Marsaudon, Lise Rochaix, Baptiste Haon and Jean-Christophe Vergnaud
Additional contact information
Christine Le Clainche: LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique, IESEG - UCL - Université catholique de Lille, CNRS - Centre National de la Recherche Scientifique
Antoine Marsaudon: IRDES - Institut de Recherche et Documentation en Economie de la Santé - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres
Lise Rochaix: PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, Hospinnomics (PSE - AP-HP), PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
Baptiste Haon: Hospinnomics (PSE - AP-HP)

Post-Print from HAL

Abstract: Objectives This study aimed to analyze the behavioral determinants of breast cancer (BC) diagnosis delays in France. To do so, we investigated whether time discounting, risk tolerance, and personality traits influenced the BC diagnosis delay of patients. Methods We used original retrospective data collected on 2 large online patient networks from 402 women diagnosed of BC. The BC diagnosis delay was measured by the difference between the date of diagnosis and the date of first symptoms. Time discounting and risk tolerance are measured with both self-reported questions and hypothetical lotteries. Personality traits are measured with the 10-item Big Five indicator. Ordinary least square and probit models were used to analyze whether these behavioral characteristics influenced the BC diagnosis delay. Results Results showed that risk tolerance and time discounting were not significantly associated with the BC diagnosis delay. However, we found a longer diagnosis delay for women with a neuroticism personality trait (standardized coefficients ranged from 0.104 [P-value = .036] to 0.090 [P-value = .065]). Conclusions Overall, our findings underline the need for an increased consideration of cancer screening public health policy for women with mental vulnerabilities since such vulnerabilities were found to be highly correlated with a neuroticism personality trait.

Keywords: Behavioral economics; Breast cancer; Diagnosis delay; Mental health; Personality traits (search for similar items in EconPapers)
Date: 2024-10
References: Add references at CitEc
Citations:

Published in Value in Health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2024, 27 (10), pp.1408-1416. ⟨10.1016/j.jval.2024.06.008⟩

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Working Paper: Do Behavioral Characteristics Influence the Breast Cancer Diagnosis Delay? Evidence From French Retrospective Data (2024)
Working Paper: Do Behavioral Characteristics Influence the Breast Cancer Diagnosis Delay? Evidence From French Retrospective Data (2024)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:halshs-04814441

DOI: 10.1016/j.jval.2024.06.008

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().