Final published version
Licence: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Using top-down and bottom-up costing approaches in LMICs
T2 - The case for using both to assess the incremental costs of new technologies at scale
AU - Cunnama, Lucy
AU - Sinanovic, Edina
AU - Ramma, Lebogang
AU - Foster, Nicola
AU - Berrie, Leigh
AU - Stevens, Wendy
AU - Molapo, Sebaka
AU - Marokane, Puleng
AU - McCarthy, Kerrigan
AU - Churchyard, Gavin
PY - 2016/2/1
Y1 - 2016/2/1
N2 - PurposeEstimating the incremental costs of scaling‐up novel technologies in low‐income and middle‐income countries is a methodologically challenging and substantial empirical undertaking, in the absence of routine cost data collection. We demonstrate a best practice pragmatic approach to estimate the incremental costs of new technologies in low‐income and middle‐income countries, using the example of costing the scale‐up of Xpert Mycobacterium tuberculosis (MTB)/resistance to riframpicin (RIF) in South Africa.Materials and methodsWe estimate costs, by applying two distinct approaches of bottom‐up and top‐down costing, together with an assessment of processes and capacity.ResultsThe unit costs measured using the different methods of bottom‐up and top‐down costing, respectively, are $US16.9 and $US33.5 for Xpert MTB/RIF, and $US6.3 and $US8.5 for microscopy. The incremental cost of Xpert MTB/RIF is estimated to be between $US14.7 and $US17.7. While the average cost of Xpert MTB/RIF was higher than previous studies using standard methods, the incremental cost of Xpert MTB/RIF was found to be lower.ConclusionCosts estimates are highly dependent on the method used, so an approach, which clearly identifies resource‐use data collected from a bottom‐up or top‐down perspective, together with capacity measurement, is recommended as a pragmatic approach to capture true incremental cost where routine cost data are scarce.
AB - PurposeEstimating the incremental costs of scaling‐up novel technologies in low‐income and middle‐income countries is a methodologically challenging and substantial empirical undertaking, in the absence of routine cost data collection. We demonstrate a best practice pragmatic approach to estimate the incremental costs of new technologies in low‐income and middle‐income countries, using the example of costing the scale‐up of Xpert Mycobacterium tuberculosis (MTB)/resistance to riframpicin (RIF) in South Africa.Materials and methodsWe estimate costs, by applying two distinct approaches of bottom‐up and top‐down costing, together with an assessment of processes and capacity.ResultsThe unit costs measured using the different methods of bottom‐up and top‐down costing, respectively, are $US16.9 and $US33.5 for Xpert MTB/RIF, and $US6.3 and $US8.5 for microscopy. The incremental cost of Xpert MTB/RIF is estimated to be between $US14.7 and $US17.7. While the average cost of Xpert MTB/RIF was higher than previous studies using standard methods, the incremental cost of Xpert MTB/RIF was found to be lower.ConclusionCosts estimates are highly dependent on the method used, so an approach, which clearly identifies resource‐use data collected from a bottom‐up or top‐down perspective, together with capacity measurement, is recommended as a pragmatic approach to capture true incremental cost where routine cost data are scarce.
U2 - 10.1002/hec.3295
DO - 10.1002/hec.3295
M3 - Journal article
VL - 25
SP - 53
EP - 66
JO - Health Economics
JF - Health Economics
SN - 1057-9230
IS - Supp 1
ER -