PIN75 - Economic impact of new malaria diagnostic devices on the malaria control program in Brazil

B.P. Quinn, J.M. Hummel, M. Laubscher, M.J. IJzerman

Research output: Contribution to journalArticleAcademicpeer-review

21 Downloads (Pure)

Abstract

OBJECTIVES: This study focuses on the health economical impact of new malaria diagnostic devices on the Malaria control processes in Brazil. Current diagnostic tools have disadvantages which prevent the total coverage of malaria risk regions. As a consequence, there is a high demand for diagnostic devices that can be used in remote settings. The objective of this research is to study the cost-effectiveness of new diagnostic devices.

METHODS: Markov modeling and Monte Carlo simulation are used to compare the expected cost-effectiveness of the new devices Magneto-Optic Technology (MOT), Rapid Diagnostic Tests (RDT), and Software Aided Microscopy (SAM), with the golden standard of microscopy. Outcome measures are the diagnostic and treatment costs as well as deaths avoided. Scenario analysis is used to compare different implementation strategies of the devices that are expected to be or become mostcost-effective.

RESULTS: Microscopy has the highest cost-effectiveness ratio (1.78), followed by SAM (4.02). The access of Microscopy to remote risk regions is however limited. The implementation scenario with the highest health economic impact is to apply microscopy and to use in addition SAM in remote risk regions. At a total of 80 per cent access to diagnosis, microscopy combined with SAM saves in Brazil up to 36.000 lives (30 % improvement) with a cost-saving of 6 M (26 per cent savings).

CONCLUSIONS: The outcomes provide clear guidelines for the investment in new devices. Accordingly, Markov modeling is a valuable tool for medical industry facing decisions concerning technology development and implementation.
Original languageEnglish
Pages (from-to)431-431
Number of pages1
JournalValue in health
Volume12
Issue number7
DOIs
Publication statusPublished - 2009
EventISPOR 12th Annual European Congress 2009 - Le Palais des Congrès de Paris, Paris, France
Duration: 24 Oct 200927 Oct 2009
Conference number: 12
https://www.ispor.org/congresses/Paris1009/ReleasedPresentations.asp

Fingerprint

Malaria
Brazil
Microscopy
Economics
Equipment and Supplies
Software
Cost-Benefit Analysis
Health
Routine Diagnostic Tests
Health Care Costs
Industry
Outcome Assessment (Health Care)
Guidelines
Technology
Costs and Cost Analysis
Research

Cite this

Quinn, B.P. ; Hummel, J.M. ; Laubscher, M. ; IJzerman, M.J. / PIN75 - Economic impact of new malaria diagnostic devices on the malaria control program in Brazil. In: Value in health. 2009 ; Vol. 12, No. 7. pp. 431-431.
@article{7f7613bb666d4f0a880636e2435bbd7f,
title = "PIN75 - Economic impact of new malaria diagnostic devices on the malaria control program in Brazil",
abstract = "OBJECTIVES: This study focuses on the health economical impact of new malaria diagnostic devices on the Malaria control processes in Brazil. Current diagnostic tools have disadvantages which prevent the total coverage of malaria risk regions. As a consequence, there is a high demand for diagnostic devices that can be used in remote settings. The objective of this research is to study the cost-effectiveness of new diagnostic devices.METHODS: Markov modeling and Monte Carlo simulation are used to compare the expected cost-effectiveness of the new devices Magneto-Optic Technology (MOT), Rapid Diagnostic Tests (RDT), and Software Aided Microscopy (SAM), with the golden standard of microscopy. Outcome measures are the diagnostic and treatment costs as well as deaths avoided. Scenario analysis is used to compare different implementation strategies of the devices that are expected to be or become mostcost-effective.RESULTS: Microscopy has the highest cost-effectiveness ratio (1.78), followed by SAM (4.02). The access of Microscopy to remote risk regions is however limited. The implementation scenario with the highest health economic impact is to apply microscopy and to use in addition SAM in remote risk regions. At a total of 80 per cent access to diagnosis, microscopy combined with SAM saves in Brazil up to 36.000 lives (30 {\%} improvement) with a cost-saving of 6 M (26 per cent savings).CONCLUSIONS: The outcomes provide clear guidelines for the investment in new devices. Accordingly, Markov modeling is a valuable tool for medical industry facing decisions concerning technology development and implementation.",
author = "B.P. Quinn and J.M. Hummel and M. Laubscher and M.J. IJzerman",
note = "ISPOR 12th Annual European Congress, POSTER SESSION III (PIN75). - 24-27 October 2009, Paris, France",
year = "2009",
doi = "10.1016/S1098-3015(10)75133-0",
language = "English",
volume = "12",
pages = "431--431",
journal = "Value in health",
issn = "1098-3015",
publisher = "Elsevier",
number = "7",

}

PIN75 - Economic impact of new malaria diagnostic devices on the malaria control program in Brazil. / Quinn, B.P.; Hummel, J.M.; Laubscher, M.; IJzerman, M.J.

In: Value in health, Vol. 12, No. 7, 2009, p. 431-431.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - PIN75 - Economic impact of new malaria diagnostic devices on the malaria control program in Brazil

AU - Quinn, B.P.

AU - Hummel, J.M.

AU - Laubscher, M.

AU - IJzerman, M.J.

N1 - ISPOR 12th Annual European Congress, POSTER SESSION III (PIN75). - 24-27 October 2009, Paris, France

PY - 2009

Y1 - 2009

N2 - OBJECTIVES: This study focuses on the health economical impact of new malaria diagnostic devices on the Malaria control processes in Brazil. Current diagnostic tools have disadvantages which prevent the total coverage of malaria risk regions. As a consequence, there is a high demand for diagnostic devices that can be used in remote settings. The objective of this research is to study the cost-effectiveness of new diagnostic devices.METHODS: Markov modeling and Monte Carlo simulation are used to compare the expected cost-effectiveness of the new devices Magneto-Optic Technology (MOT), Rapid Diagnostic Tests (RDT), and Software Aided Microscopy (SAM), with the golden standard of microscopy. Outcome measures are the diagnostic and treatment costs as well as deaths avoided. Scenario analysis is used to compare different implementation strategies of the devices that are expected to be or become mostcost-effective.RESULTS: Microscopy has the highest cost-effectiveness ratio (1.78), followed by SAM (4.02). The access of Microscopy to remote risk regions is however limited. The implementation scenario with the highest health economic impact is to apply microscopy and to use in addition SAM in remote risk regions. At a total of 80 per cent access to diagnosis, microscopy combined with SAM saves in Brazil up to 36.000 lives (30 % improvement) with a cost-saving of 6 M (26 per cent savings).CONCLUSIONS: The outcomes provide clear guidelines for the investment in new devices. Accordingly, Markov modeling is a valuable tool for medical industry facing decisions concerning technology development and implementation.

AB - OBJECTIVES: This study focuses on the health economical impact of new malaria diagnostic devices on the Malaria control processes in Brazil. Current diagnostic tools have disadvantages which prevent the total coverage of malaria risk regions. As a consequence, there is a high demand for diagnostic devices that can be used in remote settings. The objective of this research is to study the cost-effectiveness of new diagnostic devices.METHODS: Markov modeling and Monte Carlo simulation are used to compare the expected cost-effectiveness of the new devices Magneto-Optic Technology (MOT), Rapid Diagnostic Tests (RDT), and Software Aided Microscopy (SAM), with the golden standard of microscopy. Outcome measures are the diagnostic and treatment costs as well as deaths avoided. Scenario analysis is used to compare different implementation strategies of the devices that are expected to be or become mostcost-effective.RESULTS: Microscopy has the highest cost-effectiveness ratio (1.78), followed by SAM (4.02). The access of Microscopy to remote risk regions is however limited. The implementation scenario with the highest health economic impact is to apply microscopy and to use in addition SAM in remote risk regions. At a total of 80 per cent access to diagnosis, microscopy combined with SAM saves in Brazil up to 36.000 lives (30 % improvement) with a cost-saving of 6 M (26 per cent savings).CONCLUSIONS: The outcomes provide clear guidelines for the investment in new devices. Accordingly, Markov modeling is a valuable tool for medical industry facing decisions concerning technology development and implementation.

U2 - 10.1016/S1098-3015(10)75133-0

DO - 10.1016/S1098-3015(10)75133-0

M3 - Article

VL - 12

SP - 431

EP - 431

JO - Value in health

JF - Value in health

SN - 1098-3015

IS - 7

ER -