Sean Broomhead1, Maurice Mars. 1. Department of TeleHealth, University of KwaZulu-Natal, Congella, South Africa. sean.broomhead@greenfield.org.za
Abstract
OBJECTIVE: The return on investment (ROI) for utilizing the SIMpill electronic treatment adherence solution as an adjunct to directly observed treatment short-course (DOTS) is assessed using data from a 2005 pilot of the SIMpill solution among new smear-positive tuberculosis (TB) patients in the Northern Cape Province. The value of this cost minimization analysis (CMA), for use by public health planners in low-resource settings as a precursor to more rigorous assessment, is discussed. MATERIALS AND METHODS: The retrospective analysis compares the costs and health outcomes of the DOTS-SIMpill cohort with DOTS-only controls. Hypothetical 5-year cash flows are generated and discounted to estimate net present values (NPVs). RESULTS: Comparison between the DOTS-SIMpill pilot cohort and DOTS-only supported controls, for a hypothetical implementation of 1,000 devices, over 5 years, demonstrates positive ROI for the DOTS-SIMpill cohort based on improved health outcomes and reduced average cost per patient. The net stream is shown to be positive from the first year. Discounted NPV is ZAR 3,255,256 (US$ 493,221) for a cohort that would have started mid 2005 and ZAR 3,747,636 (US$ 487,339) starting mid 2010. This is an ROI of 23% over the 5-year period. CONCLUSION: The addition of electronic treatment adherence support technology can help to improve TB outcomes and lower average cost per patient by reducing treatment failure and the associated higher cost and burden on limited resources. CMA is an appropriate initial analysis for health planners to highlight options that may justify more sophisticated methods such as cost effectiveness analysis or full cost benefit analysis where a preferred option is immediately revealed. CMA is proposed as a tool for use by public health planners in low-resource settings to evaluate the ROI of treatment adherence technology postpilot and prior to implementation.
OBJECTIVE: The return on investment (ROI) for utilizing the SIMpill electronic treatment adherence solution as an adjunct to directly observed treatment short-course (DOTS) is assessed using data from a 2005 pilot of the SIMpill solution among new smear-positive tuberculosis (TB) patients in the Northern Cape Province. The value of this cost minimization analysis (CMA), for use by public health planners in low-resource settings as a precursor to more rigorous assessment, is discussed. MATERIALS AND METHODS: The retrospective analysis compares the costs and health outcomes of the DOTS-SIMpill cohort with DOTS-only controls. Hypothetical 5-year cash flows are generated and discounted to estimate net present values (NPVs). RESULTS: Comparison between the DOTS-SIMpill pilot cohort and DOTS-only supported controls, for a hypothetical implementation of 1,000 devices, over 5 years, demonstrates positive ROI for the DOTS-SIMpill cohort based on improved health outcomes and reduced average cost per patient. The net stream is shown to be positive from the first year. Discounted NPV is ZAR 3,255,256 (US$ 493,221) for a cohort that would have started mid 2005 and ZAR 3,747,636 (US$ 487,339) starting mid 2010. This is an ROI of 23% over the 5-year period. CONCLUSION: The addition of electronic treatment adherence support technology can help to improve TB outcomes and lower average cost per patient by reducing treatment failure and the associated higher cost and burden on limited resources. CMA is an appropriate initial analysis for health planners to highlight options that may justify more sophisticated methods such as cost effectiveness analysis or full cost benefit analysis where a preferred option is immediately revealed. CMA is proposed as a tool for use by public health planners in low-resource settings to evaluate the ROI of treatment adherence technology postpilot and prior to implementation.
Authors: Robert Belknap; Steve Weis; Andrew Brookens; Kit Yee Au-Yeung; Greg Moon; Lorenzo DiCarlo; Randall Reves Journal: PLoS One Date: 2013-01-07 Impact factor: 3.240
Authors: Mweete D Nglazi; Linda-Gail Bekker; Robin Wood; Gregory D Hussey; Charles S Wiysonge Journal: BMC Infect Dis Date: 2013-12-02 Impact factor: 3.090