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. 2021 Nov 26;128(9):1817–1831. doi: 10.1017/S0007114521004700

Table 6.

Cost-effectiveness of conducting a 24HR using INDDEX24 and PAPI in Burkina Faso

Cost per average percentage accuracy on the basis of:
Average percentage accuracy Total time Total time cost Total non-time cost Total cost
Scenario Outcome Modality (person days) (2019 USD) (2019 USD) (2019 USD)
Gram amount INDDEX24 72 6 698 390 1088
Base model PAPI 73 7 856 238 1094
Difference* –1 –1 –157 152 –6
Item count INDDEX24 73 6 686 383 1069
PAPI 76 7 823 229 1052
Difference –2 –1 –137 154 17
Composite nutrient intake INDDEX24 48 10 1042 582 1624
PAPI 39 14 1596 444 2041
Difference 9 –4 –554 137 –417
Borrow dietary inputs from FMDB (25 %) Gram amount INDDEX24 72 6 663 379 1042
PAPI 73 7 856 238 1094
Difference –1 –1 –192 140 –52
Item count INDDEX24 73 6 651 372 1023
PAPI 76 7 823 229 1052
Difference –2 –1 –171 143 –28
Composite nutrient intake INDDEX24 48 9 990 565 1555
PAPI 39 14 1596 444 2041
Difference 9 –4 –607 121 –486
Borrow dietary inputs from FMDB (50 %) Gram amount INDDEX24 72 6 628 367 996
PAPI 73 7 856 238 1094
Difference –1 –2 –227 129 –98
Item count INDDEX24 73 6 617 361 978
PAPI 76 7 823 229 1052
Difference –2 –1 –206 132 –74
Composite nutrient intake INDDEX24 48 9 938 548 1486
PAPI 39 14 1596 444 2041
Difference 9 –5 –659 104 –555
Borrow dietary inputs from FMDB (75 %) Gram amount INDDEX24 72 5 593 356 949
PAPI 73 7 856 238 1094
Difference –1 –2 –262 118 –144
Item count INDDEX24 73 5 583 350 932
PAPI 76 7 823 229 1052
Difference –2 –2 –240 121 –119
Composite nutrient intake INDDEX24 48 8 885 531 1417
PAPI 39 14 1596 444 2041
Difference 9 –5 –711 87 –624
*

The difference was calculated as INDDEX24 minus PAPI.

Composite nutrient intake is calculated as the overall average of the average percentage accuracy of PAPI (or of INDDEX24) in estimating intake for energy, fat, protein, carbohydrate, fibre, vitamin A, vitamin C, Ca, Fe and Zn relative to intake based on the weighed food record.

These scenarios assume the specified percentage of dietary data inputs (e.g. food composition data, standard recipes, conversion factors) can be borrowed from existing dietary reference data in the INDDEX24 database.