OBJECTIVE: To assess the potential of integrating malaria control interventions in underused health services. METHODS: Using the Piot predictive model, we estimated malaria cure rates by deriving parameters influencing treatment at home and in health facilities from the best-performing African malaria programmes and applying them to Yanfolila district, Mali. RESULTS: Without any malaria control intervention, the population cure rate is 8.4% with home treatment, but would be 13% if access to timely treatment were improved (as in Kenya). A further 3.2% of malaria patients could be cured in institutional settings with more sensitive diagnosis, timely start of treatment, better compliance (as in Uganda, Tanzania, Ghana) and 80% chloroquine efficacy. Applied in a setting where 7.6% of malaria patients seek institutional care, these assumptions would result in a total population cure rate of 14.5%. Increasing the health service user rate from 0.17 in Yanfolila to 0.95 new cases/inhabitant/year (as in Namibia) would result in half of all malaria patients attending professional services, raising the cure rate to 26.1%. CONCLUSION: If malaria patients are to be treated and followed-up early and appropriately, basic health services need to deliver integrated care and be attended by an adequate pool of users. Improved service user rates and case management can increase malaria cure rates far more than isolated control interventions can. This has implications for international policies endorsing a narrow disease-based approach.
OBJECTIVE: To assess the potential of integrating malaria control interventions in underused health services. METHODS: Using the Piot predictive model, we estimated malaria cure rates by deriving parameters influencing treatment at home and in health facilities from the best-performing African malaria programmes and applying them to Yanfolila district, Mali. RESULTS: Without any malaria control intervention, the population cure rate is 8.4% with home treatment, but would be 13% if access to timely treatment were improved (as in Kenya). A further 3.2% of malariapatients could be cured in institutional settings with more sensitive diagnosis, timely start of treatment, better compliance (as in Uganda, Tanzania, Ghana) and 80% chloroquine efficacy. Applied in a setting where 7.6% of malariapatients seek institutional care, these assumptions would result in a total population cure rate of 14.5%. Increasing the health service user rate from 0.17 in Yanfolila to 0.95 new cases/inhabitant/year (as in Namibia) would result in half of all malariapatients attending professional services, raising the cure rate to 26.1%. CONCLUSION: If malariapatients are to be treated and followed-up early and appropriately, basic health services need to deliver integrated care and be attended by an adequate pool of users. Improved service user rates and case management can increase malaria cure rates far more than isolated control interventions can. This has implications for international policies endorsing a narrow disease-based approach.
Authors: Martha C Suárez-Mutis; Paula P de Souza; Letícia F Freitas; Elaine S Miranda; Mônica R Campos; Claudia Gs Osorio-de-Castro Journal: Malar J Date: 2011-11-03 Impact factor: 2.979
Authors: Jean-Pierre Unger; Pierre De Paepe; Patricia Ghilbert; Werner Soors; Andrew Green Journal: Int J Integr Care Date: 2006-09-18 Impact factor: 5.120
Authors: Katie Tayler-Smith; Alice Kociejowski; Nadine de Lamotte; Seco Gerard; Frederique Ponsar; Mit Philips; Rony Zachariah Journal: J Public Health Afr Date: 2011-02-11
Authors: Maike Tipke; Valérie R Louis; Maurice Yé; Manuela De Allegri; Claudia Beiersmann; Ali Sié; Olaf Mueller; Albrecht Jahn Journal: Malar J Date: 2009-11-24 Impact factor: 2.979
Authors: Ikeoluwapo O Ajayi; Edmund N Browne; Bertha Garshong; Fred Bateganya; Bidemi Yusuf; Peter Agyei-Baffour; Leticia Doamekpor; Andrew Balyeku; Kaendi Munguti; Simon Cousens; Franco Pagnoni Journal: Malar J Date: 2008-01-08 Impact factor: 2.979