↓ Skip to main content

Determining utility values related to malaria and malaria chemoprophylaxis

Overview of attention for article published in Malaria Journal, April 2010
Altmetric Badge

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
37 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Determining utility values related to malaria and malaria chemoprophylaxis
Published in
Malaria Journal, April 2010
DOI 10.1186/1475-2875-9-92
Pubmed ID
Authors

Anne E McCarthy, Doug Coyle

Abstract

Chemoprophylaxis for travellers' malaria is problematic. Decision modeling may help determine optimal prevention strategies for travellers' malaria. Such models can fully assess effect of drug use and disease on quality of life, and help travellers make informed values based decisions. Such models require utility values reflecting societal preferences over different health states of relevance. To date, there are no published utility values relating to clinical malaria or chemoprophylaxis adverse events. Utility estimates for health states related to falciparum malaria, sequelae and drug-related adverse events were obtained using a self-administered visual analogue scale in 20 individuals. Utility values for health states related to clinical malaria were obtained from a survey of 11 malaria experts questioned about length of hospital stay or equivalent disability with simple and severe travellers' malaria. The general public (potential travellers), were more tolerant of taking prophylaxis if associated with no or mild AEs and least tolerant of mild sequelae from malaria and severe drug related events. The rating value reported for taking no prophylaxis was quite variable. Tropical medicine specialists estimated a mean hospital stay 3.23 days (range 0.5-4.5 days) for simple and 6.36 days (range 4.5-7 days) for severe malaria. This study provides a benchmark for important utility value estimates for modeling malaria and drug-related outcomes in non-immune travellers.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 22%
Researcher 5 14%
Student > Postgraduate 3 8%
Professor 3 8%
Student > Ph. D. Student 3 8%
Other 8 22%
Unknown 7 19%
Readers by discipline Count As %
Medicine and Dentistry 12 32%
Nursing and Health Professions 4 11%
Biochemistry, Genetics and Molecular Biology 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Economics, Econometrics and Finance 2 5%
Other 8 22%
Unknown 7 19%