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Treatment of chloroquine-resistant malaria in African children: a cost-effectiveness analysis

P Sudre1, J G Breman, D McFarland

  • 1Malaria Branch, Centers for Disease Control, Atlanta, GA 30333.

Insights

Chloroquine-resistant Plasmodium falciparum necessitates evaluating alternative malaria treatments. Pyrimethamine-sulfadoxine (PS) becomes more cost-effective than amodiaquine (Aq) or chloroquine (Cq) when resistance exceeds 14-31%.

Area of Science:

  • Malariology
  • Pharmacoeconomics
  • Public Health

Background:

  • Chloroquine-resistant Plasmodium falciparum (CRPF) is prevalent in Africa, impacting malaria treatment efficacy.
  • Assessing alternative antimalarial drugs like amodiaquine (Aq) and pyrimethamine-sulfadoxine (PS) is crucial.

Purpose of the Study:

  • To compare the cost-effectiveness of chloroquine (Cq), amodiaquine (Aq), and pyrimethamine-sulfadoxine (PS) for treating malaria.
  • To identify the most effective and economical treatment strategy considering drug resistance levels.

Main Methods:

  • A decision-analysis model was employed to compare Cq, Aq, and PS.
  • Variables included infection probability, drug compliance, side effects, resistance levels, and case-fatality rates.
  • Effectiveness measures were parasitologically confirmed cures and deaths prevented in children (6-59 months).

Main Results:

  • For 100,000 febrile episodes, costs were US$1812 (Cq), US$2622 (PS), and US$3044 (Aq).
  • Drug resistance prevalence, particularly high-level CRPF (RIII), significantly impacted cost-effectiveness.
  • With high-level CRPF, PS was more cost-effective (US$0.05/cure, US$1.52/death prevented) than Cq (US$0.47/cure, US$2.29/death prevented).

Conclusions:

  • Pyrimethamine-sulfadoxine (PS) is the most cost-effective treatment when RIII-level CRPF prevalence exceeds 14-31%, despite higher initial cost.
  • Decision analysis models are valuable tools for malaria control planning and strategy reassessment.
  • The study highlights the need for adaptive treatment strategies based on evolving drug resistance patterns.

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