Improvement in treatment abandonment in pediatric patients with cancer in Guatemala

Elysia Alvarez1, Midori Seppa2, Silvia Rivas3

  • 1Division of Hematology/Oncology, Department of Pediatrics, Stanford University School of Medicine, Palo Alto, California.

Insights

Treatment abandonment in children with cancer is high in low-income countries. A multidisciplinary psychosocial intervention significantly reduced abandonment rates and improved survival, offering a replicable model for other nations.

Area of Science:

  • Pediatric Oncology
  • Global Health
  • Health Disparities

Background:

  • Treatment refusal and abandonment are significant barriers to successful cancer treatment for children in low- and middle-income countries (LMICs).
  • Guatemala faces challenges with pediatric cancer treatment failure due to these factors.

Purpose of the Study:

  • To identify risk factors associated with treatment refusal and abandonment in pediatric cancer patients in Guatemala.
  • To evaluate the impact of a multidisciplinary psychosocial intervention on reducing treatment abandonment.

Main Methods:

  • Retrospective study of 1,789 pediatric cancer patients (0-18 years) treated at UNOP, Guatemala (2001-2008).
  • Defined treatment refusal and abandonment criteria.
  • Utilized Cox proportional hazards and Kaplan-Meier analyses to assess risk factors and survival.
  • Evaluated the effect of the 'medicina integral' intervention.

Main Results:

  • Overall, 21% of patients refused or abandoned treatment.
  • Abandonment rates decreased from 27% in 2001 to 7% in 2008 after implementing 'medicina integral'.
  • Risk factors for abandonment included greater distance to treatment center, younger age, earlier diagnosis year, and indigenous race/ethnicity. Abandonment significantly reduced overall survival.

Conclusions:

  • Distance, age, diagnosis year, and indigenous race/ethnicity are key risk factors for pediatric cancer treatment abandonment.
  • The multidisciplinary 'medicina integral' intervention effectively reduced abandonment rates.
  • This intervention model is potentially replicable in other LMICs facing similar challenges.
Abstract

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