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. 2017 Jun 8:15:9.
doi: 10.1186/s12962-017-0070-y. eCollection 2017.

Cost-effectiveness analysis of the diarrhea alleviation through zinc and oral rehydration therapy (DAZT) program in rural Gujarat India: an application of the net-benefit regression framework

Samuel D Shillcutt  1 , Amnesty E LeFevre  1 , Christa L Fischer-Walker  1 , Sunita Taneja  2 , Robert E Black  1 , Sarmila Mazumder  2
Affiliations

Cost-effectiveness analysis of the diarrhea alleviation through zinc and oral rehydration therapy (DAZT) program in rural Gujarat India: an application of the net-benefit regression framework

Samuel D Shillcutt et al. Cost Eff Resour Alloc. .

Abstract

Background: This study evaluates the cost-effectiveness of the DAZT program for scaling up treatment of acute child diarrhea in Gujarat India using a net-benefit regression framework.

Methods: Costs were calculated from societal and caregivers' perspectives and effectiveness was assessed in terms of coverage of zinc and both zinc and Oral Rehydration Salt. Regression models were tested in simple linear regression, with a specified set of covariates, and with a specified set of covariates and interaction terms using linear regression with endogenous treatment effects was used as the reference case.

Results: The DAZT program was cost-effective with over 95% certainty above $5.50 and $7.50 per appropriately treated child in the unadjusted and adjusted models respectively, with specifications including interaction terms being cost-effective with 85-97% certainty.

Discussion: Findings from this study should be combined with other evidence when considering decisions to scale up programs such as the DAZT program to promote the use of ORS and zinc to treat child diarrhea.

Keywords: Cost-effectiveness; Developing countries; Diarrhea; Implementation science; India; Net-benefit regression; Oral rehydration salts; Zinc.

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Figures

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Conceptual framework
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Unadjusted cost-effectiveness acceptability curves
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Adjusted cost-effectiveness acceptability curves using a linear regression with endogenous treatment effects approach to defining covariates
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Fig. 4
Adjusted cost-effectiveness acceptability curves with interaction terms using a linear regression with endogenous treatment effects approach to defining covariates
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