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Related Experiment Video

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Optimizing cancer pain management in resource-limited settings.

Sam H Ahmedzai1, Mary Jocylyn Bautista2, Kamel Bouzid3

  • 1National Institute of Health Research Clinical Research Network for Cancer, Leeds, UK.

Supportive Care in Cancer : Official Journal of the Multinational Association of Supportive Care in Cancer
|September 23, 2018
PubMed
Summary

Cancer pain management in resource-limited settings is challenging. This initiative developed practical algorithms and an implementation framework to improve opioid availability and cancer pain management (CPM) for healthcare providers.

Keywords:
AlgorithmAnalgesicCancer painEducationImplementationResource-limited

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Area of Science:

  • Oncology
  • Pain Management
  • Global Health

Background:

  • Cancer pain management (CPM) faces significant challenges in resource-limited settings due to opioid access issues and lack of practical guidance.
  • International guidelines are often difficult to implement, highlighting a critical need for tailored solutions.

Purpose of the Study:

  • To bridge clinical practice gaps in CPM within resource-limited environments.
  • To propose a two-step initiative addressing barriers to effective cancer pain relief.

Main Methods:

  • A comprehensive literature review and expert consensus meetings informed the development of practical CPM algorithms.
  • A framework for implementing these algorithms was created, including education, pilot studies, and advocacy.

Main Results:

  • Evidence-based CPM algorithms were developed for various pain types, including first-line use, breakthrough pain, opioid rotation, and refractory pain.
  • An educational program focusing on practical application and an advocacy plan to improve analgesic access were proposed.

Conclusions:

  • The developed algorithms and implementation framework represent a significant multinational effort to optimize CPM in resource-limited settings.
  • This initiative provides a foundation for improving cancer pain relief where resources are scarce.