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[Preprint]. 2024 Oct 21:rs.3.rs-5005686. [Version 1] doi: 10.21203/rs.3.rs-5005686/v1

Table 4.

Number of different medications purchased and type by testing status

Outlet app Exit interview
# medications purchased No test (n = 24,358) mRDT Pos (n = 2,788) mRDT Neg (n = 22,619) No test, client not present (n = 4,095) No Test* (n = 3259) mRDT pos (n = 842) mRDT neg (n = 1554)
None 296 (1.2%) 24 (0.9%) 3,560 (15.7%) 131 (3.2%) 108 (3.3%) 55 (6.5%) 357 (23.0%)
1–2 17,334 (71.2%) 1,095 (39.3%) 13,287 (58.8%) 3,078 (75.2%) 2,545 (78.1%) 419 (49.8%) 782 (50.3%)
3–4 6,704 (27.5%) 1,484 (53.2%) 5,741 (25.4%) 883 (21.6%) 592(18.2%) 347 (41.2%) 402 (25.9%)
5 + 24 (0.1%) 185 (6.6%) 30 (0.1%) 3 (0.1%) 12 (0.4%) 21 (2.5%) 13 (0.8%)
Type of medication
AL 17,509 (71.9%) 2,383 (85.5%) 6,872 (30.4%) 2,866 (70.0%) 1904 (58.4%) 451 (53.6%) 334 (21.5%)
Other ACT 4,679 (19.2%) 305 (10.9%) 1,065 (4.7%) 539 (13.2%) 404 (12.4%) 163 (19.4%) 59 (3.8%)
Other antimalarial 1,516 (6.2%) 83 (3.0%) 173 (0.8%) 530 (12.9%) 221 (6.8%) 22 (2.6%) 19 (1.2%)
Injection** 263 (1.1%) 983 (35.3%) 253 (1.1%) 0 (0.0%) 124 (3.8%) 239 (28.4%) 87 (5.6%)
Antibiotic 5,049 (20.7%) 1,176 (42.2%) 9,181 (40.6%) 530 (12.9%) 800 (24.6%) 375 (44.5%) 659 (42.4%)
Painkiller 17,725 (72.8%) 2,236 (80.2%) 14,420 (63.8%) 2,881 (70.4%) 2175 (66.7%) 664 (78.9%) 947 (60.9%)
Other 4,566 (18.8%) 868 (31.1%) 8,381 (37.1%) 625 (15.3%) 331 (10.2%) 136 (16.2%) 277 (17.8%)
*

9 clients reported invalid test results, and 29 did not know their test results. They are not included in this table.

**

Injections were often reported with the name of the pathogen it was purported to treat (as in ‘malaria injection’ or ‘typhoid injection’), unknown injection, or just ‘injection’ and rarely ‘artemether injection.’ Most often, the specific drug was not captured because the client did not carry the packaging for the interviewer to copy the drug information. All injectable drug types are reported here. The ‘Other antimalarial’ category does not include injections.