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Related Concept Videos

Cancer Survival Analysis01:21

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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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  3. Research Domains
  5. Biomedical And Clinical Sciences
  7. Oncology And Carcinogenesis
  9. Predictive And Prognostic Markers
  11. "let Him Die. He Caused It": A Qualitative Study On Cancer Stigma In Tanzania.
  1. Home
  3. Research Domains
  5. Biomedical And Clinical Sciences
  7. Oncology And Carcinogenesis
  9. Predictive And Prognostic Markers
  11. "let Him Die. He Caused It": A Qualitative Study On Cancer Stigma In Tanzania.

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"Let him die. He caused it": A qualitative study on cancer stigma in Tanzania.

Judith M Mwobobia1, Brandon A Knettel1,2, Jennifer Headley1

  • 1Duke Global Health Institute, Duke University, Durham, North Carolina, United States of America.

PLOS Global Public Health
|June 12, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

Cancer stigma in Tanzania, driven by financial fears and misconceptions, significantly hinders care-seeking and treatment adherence. Interventions must address literacy, community attitudes, and affordability to improve cancer outcomes.

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Area of Science:

  • Oncology
  • Public Health
  • Sociology

Background:

  • Cancer is the third-leading cause of death in Tanzania, with rising incidence and poor outcomes.
  • Cancer-related stigma is a significant barrier to care seeking, treatment adherence, and patient support.
  • Interventions to reduce cancer stigma have been historically under-prioritized in Tanzania.

Purpose of the Study:

  • To explore attitudes driving cancer stigma in Tanzania.
  • To understand the impact of cancer stigma on care-seeking and treatment adherence.
  • To identify potential intervention strategies for reducing cancer stigma.

Main Methods:

  • A cross-sectional qualitative study design was employed.
  • 140 adults newly diagnosed with cancer in Moshi, Tanzania, were interviewed using open-ended questions.
  • Data analysis utilized a team-based, applied thematic approach with NVivo 12 software.

    • Main Results:

    • Participants identified financial burden, misconceptions (e.g., cancer being contagious), and fear of death as key drivers of stigma.
    • Stigma led to shame, fear of burdening families, reduced access to treatment, and disengagement from care.
    • Some patients reported increased social support post-diagnosis, indicating stigma is not universally experienced.

    Conclusions:

    • Addressing cancer stigma requires interventions focused on improving cancer literacy, community advocacy, and enhancing emotional/practical support.
    • Financial support, professional counseling, and community education are crucial for reducing stigmatizing attitudes.
    • Policy changes to improve cancer care affordability and accessibility are essential to alleviate patient and family financial burdens.