Achieving malaria testing and treatment targets for children under five in Mozambique: a cost-effectiveness analysis.

Artemisinin combination therapy Cost-effectiveness Malaria Rapid diagnostic testing Testing Treatment

Journal

Malaria journal
ISSN: 1475-2875
Titre abrégé: Malar J
Pays: England
ID NLM: 101139802

Informations de publication

Date de publication:
07 Nov 2022
Historique:
received: 23 03 2022
accepted: 27 10 2022
entrez: 7 11 2022
pubmed: 8 11 2022
medline: 10 11 2022
Statut: epublish

Résumé

The entire population of Mozambique is at risk for malaria, which remains one of the leading causes of death. The 2017-2022 National Malaria Strategic Plan focuses on reducing malaria morbidity and mortality in high- and low-transmission areas. This study aimed to estimate the costs and health benefits of six variations of the World Health Organization's "test-and-treat" strategy among children under five. A decision tree model was developed that estimates the costs and health outcomes for children under five. Data on probabilities, costs, weights for disability-adjusted life years (DALYs), and quality-adjusted life years (QALYs) were based on peer-reviewed, grey literature, and primary data analysis of the 2018 Malaria Indicator Survey. Six scenarios were compared to the status quo and calculated the incremental cost-effectiveness ratio (ICER) in terms of cost per QALY gained, DALY averted, and life saved. Deterministic and probabilistic sensitivity analyses were conducted to understand the effect of parameter uncertainty on the findings. In the base case, reaching the target of 100% testing with rapid diagnostic tests (RDTs; Scenario 1) is more cost-effective than improving the testing rate alone by 10% (Scenario 2). Achieving a 100% (Scenario 3) or a 10% increase in treatment rate (Scenario 4) have ICERs that are lower than Scenarios 1 and 2. Both Scenarios 5 and 6, which represent combinations of Scenarios 1-4, have lower ICERs than their constituent strategies on their own, which suggests that improvements in treatment are more cost-effective than improvements in testing alone. These results held when DALYs averted or lives saved were used as health outcomes. Deterministic and probabilistic sensitivity analyses revealed that the cost-effectiveness of Scenarios 1-6 are subject sensitive to parameter uncertainty, though Scenarios 4 and 5 are the optimal choice when DALYs averted or QALYs gained were used as the measure of health outcomes across all cost-effectiveness thresholds. Improving testing rates alone among children at risk for malaria has the potential to improve health but may not be the most efficient use of limited resources. Instead, small or large improvements in treatment, whether alone or in conjunction with improvements in testing, are the most cost-effective strategies for children under five in Mozambique.

Sections du résumé

BACKGROUND BACKGROUND
The entire population of Mozambique is at risk for malaria, which remains one of the leading causes of death. The 2017-2022 National Malaria Strategic Plan focuses on reducing malaria morbidity and mortality in high- and low-transmission areas. This study aimed to estimate the costs and health benefits of six variations of the World Health Organization's "test-and-treat" strategy among children under five.
METHODS METHODS
A decision tree model was developed that estimates the costs and health outcomes for children under five. Data on probabilities, costs, weights for disability-adjusted life years (DALYs), and quality-adjusted life years (QALYs) were based on peer-reviewed, grey literature, and primary data analysis of the 2018 Malaria Indicator Survey. Six scenarios were compared to the status quo and calculated the incremental cost-effectiveness ratio (ICER) in terms of cost per QALY gained, DALY averted, and life saved. Deterministic and probabilistic sensitivity analyses were conducted to understand the effect of parameter uncertainty on the findings.
RESULTS RESULTS
In the base case, reaching the target of 100% testing with rapid diagnostic tests (RDTs; Scenario 1) is more cost-effective than improving the testing rate alone by 10% (Scenario 2). Achieving a 100% (Scenario 3) or a 10% increase in treatment rate (Scenario 4) have ICERs that are lower than Scenarios 1 and 2. Both Scenarios 5 and 6, which represent combinations of Scenarios 1-4, have lower ICERs than their constituent strategies on their own, which suggests that improvements in treatment are more cost-effective than improvements in testing alone. These results held when DALYs averted or lives saved were used as health outcomes. Deterministic and probabilistic sensitivity analyses revealed that the cost-effectiveness of Scenarios 1-6 are subject sensitive to parameter uncertainty, though Scenarios 4 and 5 are the optimal choice when DALYs averted or QALYs gained were used as the measure of health outcomes across all cost-effectiveness thresholds.
CONCLUSIONS CONCLUSIONS
Improving testing rates alone among children at risk for malaria has the potential to improve health but may not be the most efficient use of limited resources. Instead, small or large improvements in treatment, whether alone or in conjunction with improvements in testing, are the most cost-effective strategies for children under five in Mozambique.

Identifiants

pubmed: 36344998
doi: 10.1186/s12936-022-04354-9
pii: 10.1186/s12936-022-04354-9
pmc: PMC9641811
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

320

Informations de copyright

© 2022. The Author(s).

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Auteurs

Anton L V Avanceña (ALV)

Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI, USA. antonlv@utexas.edu.
Health Outcomes Division, College of Pharmacy, University of Texas at Austin, Austin, TX, USA. antonlv@utexas.edu.

Angie Miller (A)

Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI, USA.

Neide Canana (N)

Malaria Consortium, Maputo, Mozambique.

Janeth Dula (J)

Health Policy and Systems Programme, Instituto Nacional de Saude, Maputo, Mozambique.

Abuchahama Saifodine (A)

United States President's Malaria Initiative, USAID, Maputo, Mozambique.

Baltazar Cadrinho (B)

National Malaria Control Programme, Ministry of Health, Maputo, Mozambique.

Elisa M Maffioli (EM)

Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI, USA.

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