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Trajectories and individual determinants of regular cancer screening use over a long period based on data from the French E3N cohort

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  • Dugord, Clara
  • Franc, Carine

Abstract

Despite several incentive policies for cancer screenings over the last two decades, the overall and regular use of cancer screenings remains insufficient in France. While the individual determinants of cancer screening uptake have been fairly well studied, the literature has rarely focused on the regularity of screening uptake, which is key to early cancer detection. We aimed to address this issue by studying cancer screening behaviors over 15 years, emphasizing the regularity and diversity of use. Using data from 40,021 women in the French E3N cohort, we studied the individual trajectories of screenings for breast, colorectal and cervical cancer between 2000 and 2014. We employed optimal matching methods to identify typical behaviors of use for each cancer screening. Then, we determined the associations between the identified behavior screening patterns for the different cancer screenings and, finally, assessed the associated individual determinants with logistical and multinomial models. We found that screening behaviors were fairly stable over time, with few typical screening patterns for each cancer. Overall, once a woman starts screening, she continues, and once she stops, she no longer returns. Cancer screening behaviors appear consistent; in particular, insufficient use of mammography appears to be associated with long-term nonuse of other cancer screenings. Factors associated with low or nonuse of screening are overall common between cancer screenings and are similar to those identified in the literature of screening use at a single point in time. Ultimately, these barriers prevent some women from entering a screening process in the long run, ultimately reinforcing social inequalities in health. Targeting women with insufficient mammography uptake may reach women outside of cancer screening settings more generally and, thus, both increase the overall uptake of cancer screening and reduce social inequalities in cancer screening.

Suggested Citation

  • Dugord, Clara & Franc, Carine, 2022. "Trajectories and individual determinants of regular cancer screening use over a long period based on data from the French E3N cohort," Social Science & Medicine, Elsevier, vol. 294(C).
  • Handle: RePEc:eee:socmed:v:294:y:2022:i:c:s0277953621009953
    DOI: 10.1016/j.socscimed.2021.114663
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    as
    1. Cropper, M L, 1977. "Health, Investment in Health, and Occupational Choice," Journal of Political Economy, University of Chicago Press, vol. 85(6), pages 1273-1294, December.
    2. repec:dau:papers:123456789/14771 is not listed on IDEAS
    3. Pascale Genier & Stéphane Jacobzone, 1998. "Peut-on parler d'une gestion globale de son capital santé ?," Économie et Statistique, Programme National Persée, vol. 311(1), pages 37-55.
    4. Chapple, Alison & Ziebland, Sue & Hewitson, Paul & McPherson, Ann, 2008. "What affects the uptake of screening for bowel cancer using a faecal occult blood test (FOBt): A qualitative study," Social Science & Medicine, Elsevier, vol. 66(12), pages 2425-2435, June.
    5. Goldzahl, Léontine, 2017. "Contributions of risk preference, time orientation and perceptions to breast cancer screening regularity," Social Science & Medicine, Elsevier, vol. 185(C), pages 147-157.
    6. Marion Devaux, 2015. "Income-related inequalities and inequities in health care services utilisation in 18 selected OECD countries," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(1), pages 21-33, January.
    7. Joseph P. Newhouse, 2021. "An Ounce of Prevention," Journal of Economic Perspectives, American Economic Association, vol. 35(2), pages 101-118, Spring.
    8. Christian Hennig & Tim F. Liao, 2013. "How to find an appropriate clustering for mixed-type variables with application to socio-economic stratification," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 62(3), pages 309-369, May.
    9. Chevillard, Guillaume & Mousquès, Julien, 2021. "Medically underserved areas: are primary care teams efficient at attracting and retaining general practitioners?," Social Science & Medicine, Elsevier, vol. 287(C).
    10. Walsh, Brendan & Silles, Mary & O'Neill, Ciarán, 2011. "The importance of socio-economic variables in cancer screening participation: A comparison between population-based and opportunistic screening in the EU-15," Health Policy, Elsevier, vol. 101(3), pages 269-276, August.
    11. Léontine Goldzahl & Florence Jusot, 2016. "Les déterminants du recours régulier au dépistage du cancer du sein en France," Revue française d'économie, Presses de Sciences-Po, vol. 0(4), pages 109-152.
    12. Matthias Studer & Gilbert Ritschard, 2016. "What matters in differences between life trajectories: a comparative review of sequence dissimilarity measures," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 179(2), pages 481-511, February.
    13. Vincenzo Carrieri & Marcel Bilger, 2013. "Preventive care: underused even when free. Is there something else at work?," Applied Economics, Taylor & Francis Journals, vol. 45(2), pages 239-253, January.
    14. Anne-Marie Konopka & Thomas Barnay & Nathalie Billaudeau & Christine Sevilla-Dedieu, 2019. "Les déterminants du recours au dépistage du cancer du col de l’utérus : une analyse départementale," Economie & Prévision, La Documentation Française, vol. 0(2), pages 43-63.
    15. Marika Cabral & Mark R. Cullen, 2017. "The Effect Of Insurance Coverage On Preventive Care," Economic Inquiry, Western Economic Association International, vol. 55(3), pages 1452-1467, July.
    16. Matissa Hollister, 2009. "Is Optimal Matching Suboptimal?," Sociological Methods & Research, , vol. 38(2), pages 235-264, November.
    17. Anne-Marie Konopka & Thomas Barnay & Nathalie Billaudeau & Christine Sevilla-Dedieu, 2019. "Les déterminants du recours au dépistage du cancer du col de l’utérus : une analyse départementale," Erudite Working Paper 2019-19, Erudite.
    18. Bussière, Clémence & Le Vaillant, Marc & Pelletier-Fleury, Nathalie, 2015. "Screening for cervical cancer: What are the determinants among adults with disabilities living in institutions? Findings from a National Survey in France," Health Policy, Elsevier, vol. 119(6), pages 794-801.
    19. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    20. Muriel Barlet & Magali Coldefy & Clémentine Collin & Véronique Lucas Gabrielli, 2012. "L’Accessibilité potentielle localisée (APL) : une nouvelle mesure de l’accessibilité aux soins appliquée aux médecins généralistes libéraux en France," Working Papers DT51, IRDES institut for research and information in health economics, revised Dec 2012.
    21. Wu, Stephen, 2003. "Sickness and preventive medical behavior," Journal of Health Economics, Elsevier, vol. 22(4), pages 675-689, July.
    22. Ehrlich, Isaac & Becker, Gary S, 1972. "Market Insurance, Self-Insurance, and Self-Protection," Journal of Political Economy, University of Chicago Press, vol. 80(4), pages 623-648, July-Aug..
    23. Gabadinho, Alexis & Ritschard, Gilbert & Müller, Nicolas S & Studer, Matthias, 2011. "Analyzing and Visualizing State Sequences in R with TraMineR," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i04).
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