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. Author manuscript; available in PMC: 2021 Nov 17.
Published in final edited form as: Ann Intern Med. 2020 Sep 8;173(10):799–805. doi: 10.7326/M20-0786

Appendix Table 4.

Sensitivity Analysis of Overall PrEP Payments Using Crude, Single, and Multiple Imputation From Prescriptions With Complete Payment Data, 2014-2018

Variable 2014 2015 2016 2017 2018
IQVIA base data set
 IQVIA overall sample payments, $ 113 239 331 373 870 150 562 251 605 942 316 930 1 460 054 998
 IQVIAsample completeness, % 99.3 98.9 68.8 68.8 69.0
Crude imputation, $
 Using $1400 forall missing total payments 114 009 378 377 549 677 786 751 965 1 295 615 937 1 985 126 445
 Using $2000 forall missing total payments 114 339 398 379 126 617 882 966 405 1 447 029 797 2 210 157 065
Single imputation, $*
 Overall payments 113 858 036 377 720 405 796 480 451 1 337 044 949 2 084 113 989
Multiple imputation, 50 times, $*
 Mean overall payment 113 978 754 377 828 569 795 085 311 1 333 358 057 2 076 567 589
 SD 4977 8879 91 936 126 549 161 857
 Median overall payment 113 978 380 377 827 446 795 080 980 1 333 361 145 2 076 541 565
 Minimum overall payment 113 965 462 377 814 539 794 927 253 1 333 034 461 2 076 154 738
 Maximum overall payment 113 990 274 377 852 681 795 286 344 1 333 660 128 2 076 903 514

PrEP = preexposure prophylaxis.

*

Imputation model predictor variables: out-of-pocket payment amount, tablets dispensed, third-party payer type, pharmacy type, geographic region, patient sex, and year.