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September 19, 2025European Journal of Cancer CareOpen Access

Systemic and Dynamic Analysis of Access to Health Care: The Example of Hematological Cancer in France

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Authors

MCMilhan ChazeLMLaurent MériadeUniversité Clermont AuvergneCRCorinne RochetteSigma Clermont

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Overview

Mixed-methods analysis reveals key dimensions of access to care for hematological cancer patients, suggesting improved patient awareness may enhance acceptability.

Key Points

  • Improving patient awareness and acceptability is crucial for better access to health care in hematological cancer.
  • The study identifies geographical accessibility as significant, but acceptability emerged as a central factor affecting access.
  • Using a mixed geographical and relational method, the study categorized movements of patients to assess access dimensions.
  • Policymaking for better health care access must integrate both geographical and nonspatial dimensions of care.

Cite This Study

Chaze et al. (2025) studied this question.

synapsesocial.com/papers/68d464ff31b076d99fa64acfhttps://doi.org/10.1155/ecc/3641026
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Access to primary care and mortality in excess for patients with cancer in France: Results from 21 French Cancer Registries2024 · 6 citations
  2. 2Health care access from the rural perspective: A narrative review2026 · 15 citations
  3. 3Analysing the intra and interregional components of spatial accessibility gravity model to capture the level of equity in the distribution of hospital services: does they influence patient mobility?2024
  4. 4Understanding challenges in healthcare access: qualitative insights from healthcare providers and people living in socio-economically vulnerable circumstances2025 · 5 citations
  5. 5The Revealed and Potential Accessibility of Healthcare Services: Are They Really Consistent? — A Case Study of Infectious Disease Care at the Community Level in Minhang District, Shanghai, China2025