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Individual Factors Associated With Care Pathways Delays in Breast Cancer in Hauts-de-France.

Behavioral Economics Study of Individual Factors Influencing Time-to-care Among Women With Invasive Breast Cancer in the Hauts-de-France Region

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07475325
Acronym
E-C-HAU
Enrollment
500
Registered
2026-03-16
Start date
2026-04-20
Completion date
2028-03-01
Last updated
2026-05-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Breast Cancer, Invasive Breast Carcinoma

Keywords

Breast cancer, Diagnostic delay, Time-to-treatment, Patient pathway, Behavioral economics

Brief summary

Women in the Hauts-de-France region show higher breast cancer mortality despite no overall higher incidence, suggesting differences in the care pathway. This multicenter study will describe the overall time from the first warning sign to initiation of the first treatment, and will break down this delay into three consecutive intervals (symptoms to mammography, mammography to biopsy, biopsy to first treatment). Participants will complete a one-time questionnaire (up to 1 hour, with assistance if needed), and clinical data will be extracted in a standardized way from medical records (key dates and tumor characteristics). A random sample of 10% of incident breast cancer cases identified by each hospital information department will be used to ensure balanced geographic representation across 38 centers. The study will also explore how individual and contextual factors (psychological, behavioral, socio-demographic, access to care, communication) are associated with each time interval, and exploratory analyses will assess links with severity (metastases and prognostic score).

Interventions

None listed

Sponsors

University Hospital, Lille
Lead SponsorOTHER
Université de Lille
CollaboratorOTHER
Breast Cancer Research Foundation
CollaboratorOTHER

Study design

Observational model
OTHER
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
FEMALE
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* Female, age ≥ 18 years. * Confirmed invasive breast carcinoma. * Diagnosis in 2024 (and/or \< 12 months at inclusion depending on center organization). * Affiliated with the French social security system. * Resident of Hauts-de-France since diagnosis. * Information provided and non-opposition documented (MR-003).

Exclusion criteria

* Male breast cancer. * Other histologies (phyllodes tumor, sarcoma, lymphoma). * Pure ductal carcinoma in situ (in situ only). * Personal history of breast cancer (including in situ). * Non-French-speaking. * Person deprived of liberty.

Design outcomes

Primary

MeasureTime frame
Total time from first warning sign to initiation of first treatment.One-time assessment using patient-reported dates and medical record dates at inclusion (single questionnaire session + record extraction). Questionnaire time : around 1 hour

Secondary

MeasureTime frameDescription
Time from first warning sign to first mammographyAt inclusion, one-time assessment using patient-reported dates and medical record dates.
Time from mammography to biopsy.At inclusion, one-time assessment using patient-reported dates and medical record dates.
Time from biopsy to initiation of first treatment.At inclusion, one-time assessment using patient-reported dates and medical record dates.
To evaluate breast cancer severity at diagnostic. Severity will be assessed by the presence of metastatic disease at diagnosis, recorded as a binary outcome (yes/no) indicating the rate of metastatic at diagnosisAt inclusion, assessed from medical record extraction.
To evaluate patients with localized breast cancer, by pronosis estimated using the PREDIC Breast tool.At inclusion, calculated using clinical variables extracted from the medical recordPronosis will be reported as 5-year and 10 year estimated survival probabilities, calculated from clinical variables extrected from the medical record at inclusion and expressed on a 0 to 100 % scale, with higher values indicating a better predicted outcome.

Countries

France

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: May 13, 2026