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Poster session 05

1620P - Return to work trajectories after early breast cancer diagnosis: A population-based cohort study in the French National Healthcare Insurance database

Date

10 Sep 2022

Session

Poster session 05

Topics

Cancer Intelligence (eHealth, Telehealth Technology, BIG Data);  Survivorship;  Psychosocial Aspects of Cancer

Tumour Site

Breast Cancer

Presenters

Romain Varnier

Citation

Annals of Oncology (2022) 33 (suppl_7): S713-S742. 10.1016/annonc/annonc1075

Authors

R. Varnier1, A. Moskal1, A.L. Dima1, C. Bodelet1, J. Peron2, M. Lamort-Bouché1, J. Fassier3, M. Viprey1

Author affiliations

  • 1 Research On Healthcare Performance (reshape, Inserm U1290), Université Claude Bernard Lyon 1, 69008 - Lyon/FR
  • 2 Biometry And Evolutionary Biology Laboratory, Health And Biostatistics Team (umr Ucbl/cnrs 5538), Université Claude Bernard Lyon 1, 69008 - Lyon/FR
  • 3 Unité Mixte De Recherche épidémiologique Et De Surveillance Transport Travail Environnement (umrestte, Umr T9405), Université Claude Bernard Lyon 1, 69008 - Lyon/FR

Resources

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Abstract 1620P

Background

Return to work (RtW) is important for quality of life after breast cancer (BC), and a difficult challenge for many patients (pts). Current evidence relies mainly on selected populations and limited indicators. We aimed to construct RtW indicators based on sickness leave (SL) and disability pension (DP) benefits, and to explore RtW trajectories.

Methods

We conducted a retrospective cohort study using data from a random sample of 1/97th beneficiaries of the French National Health System. All women aged 25-55 years with a first early BC diagnosis between 2013 and 2016 were included and followed-up for 3 years. We constructed RtW indicators based on literature review, data availability and stakeholders’ expertise in the national context. Descriptive analyses were performed on sample characteristics and RtW indicators. Longitudinal RtW trajectories were explored using sequence analysis and clustered using optimal matching.

Results

Data from 306 pts (56% HR+/HER2-, 24% triple-negative, 14% HER2+, 6% in situ) were extracted. (Neo)adjuvant chemotherapy, trastuzumab and endocrine therapy were administered in 59%, 14% and 66% of pts, respectively. Median time with compensation until full and sustainable (> 28 days) RtW was 242 days. Median cumulative lengths of all-type and full-time sickness absence during follow-up were 450 days and 313 days, respectively. Full-time or partial RtW was achieved by 57% of pts at 1-year, 82% at 2-year and 85% at 3-year after diagnosis. Three RtW trajectories were identified: “RtW within a year” (48% of the population) with pts experiencing RtW during the 1st year and limited subsequent work interruption, “RtW supported by partial SL or DP” (38%) with pts typically returning to work during the 2nd year after a partial SL period or with a partial DP, and “continued compensation” (14%) with pts receiving either complete SL benefit or DP at 3-year.

Conclusions

Identification of RtW trajectories based on French medico-administrative databases seems feasible. It revealed large individual variability and identified three distinct groups of RtW trajectories. Further exploration of trajectory determinants and lived experience is needed to develop targeted RtW interventions.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

INSERM U1290 « Research on Healthcare Performance » (RESHAPE).

Funding

Cancéropôle CLARA.

Disclosure

J. Peron: Financial Interests, Personal, Invited Speaker: Eisai; Financial Interests, Personal, Advisory Board: Eisai; Financial Interests, Personal, Member of the Board of Directors: Fab'entech; Financial Interests, Institutional, Funding: Roche, AstraZeneca. J. Fassier: Financial Interests, Institutional, Advisory Role: Chugai. All other authors have declared no conflicts of interest.

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