| Literature DB >> 27034520 |
Jenny Liu1, Lisa M Prach1, Emily Treleaven1, Mara Hansen2, Jennifer Anyanti3, Temple Jagha4, Vince Seaman2, Olufemi Ajumobi5, Chinwoke Isiguzo3.
Abstract
OBJECTIVE: To characterize patent and proprietary medicine vendors and shops in Nigeria and to assess their ability to help improve access to high-quality, primary health-care services.Entities:
Mesh:
Substances:
Year: 2016 PMID: 27034520 PMCID: PMC4794299 DOI: 10.2471/BLT.15.154666
Source DB: PubMed Journal: Bull World Health Organ ISSN: 0042-9686 Impact factor: 9.408
Census of patent and proprietary medicine shops, 16 states in Nigeria, 2013–2014
| Characteristic | No. (%) of shops, ( |
|---|---|
| Product stocked | |
| Any artemisinin-based combination therapy | 16 966 (82.2) |
| Oral rehydration saltsb | 17 662 (92.1) |
| Zincb | 3 671 (19.1) |
| Any oral contraceptive | 13 941 (67.5) |
| Injectable contraceptive | 4 469 (21.7) |
| Emergency contraception | 5 208 (25.2) |
| Intrauterine contraceptive devicec | 566 (2.9) |
| National Association of Patent and Proprietary Medicine Dealers | 15 619 (81.4) |
| Pharmacist Council of Nigeria | 2 565 (13.4) |
| No medical training | 13 491 (65.4) |
| Some medical training | 7 151 (34.6) |
| Community health extension worker | 2 656 (12.9) |
| Nurse or midwife | 2 554 (12.4) |
| Junior community health extension worker | 1 090 (5.3) |
| Pharmacist | 492 (2.4) |
| Doctor | 226 (1.1) |
| Other health-care worker | 133 (< 1.0) |
| 0 | 5 104 (25.5) |
| 1 | 7 013 (35.0) |
| 2 | 5 775 (28.8) |
| ≥ 3 | 2 147 (10.7) |
| 0–10 | 4 190 (22.0) |
| 11–20 | 5 589 (29.3) |
| 21–30 | 4 756 (25.0) |
| ≥ 31 | 4 523 (23.7) |
| Urban | 11 258 (57.3) |
| Rural | 8 399 (42.7) |
| Northern states combined | 7 532 (36.5) |
| Bauchi | 1 061 (5.1) |
| Jigawa | 770 (3.7) |
| Kano | 1 695 (8.2) |
| Katsina | 1 522 (7.4) |
| Kebbi | 934 (4.5) |
| Sokoto | 728 (3.6) |
| Zamfara | 822 (4.0) |
| Southern states combined | 13 110 (63.5) |
| Akwa-Ibom | 1 714 (8.3) |
| Delta | 1 394 (6.7) |
| Edo | 1 305 (6.3) |
| Kogi | 1 088 (5.3) |
| Kwara | 1 002 (4.8) |
| Lagos | 1 374 (6.7) |
| Ogun | 1 271 (6.2) |
| Oyo | 3 044 (14.7) |
| Rivers | 918 (4.5) |
a Total number of shops with data available except where otherwise indicated.
b Data were available for only 19 179 shops.
c Data were available for only 19 160 shops.
d Data were available for only 19 192 shops.
e Data were available for only 20 039 shops.
f Data were available for only 19 058 shops.
g Data were available for only 19 657 shops.
Fig. 1Patent and proprietary medicine shops per 100 000 population, 16 states in Nigeria, 2013–2014
Fig. 2Proportion of people in charge of patent and proprietary medicine shops that have medical training, 16 states in Nigeria, 2013–2014
Association of any medical training of person in charge of a patent and proprietary medicine shop with current stock and registration, 16 states in Nigeria, 2013–2014
| Outcome | No. (%) of people in charge of shop with any medical training | Likelihood of outcome associated with medical training, OR (95% CI)a | |||
|---|---|---|---|---|---|
| Yes | No | Bivariate analysis | Multivariate analysisb | ||
| Any artemisinin-based combination therapy | 6 513 (38.4) | 10 453 (61.6) | 2.97 (2.71–3.25) | 1.57 (1.39–1.76) | |
| Oral rehydration salts | 6 681 (37.8) | 10 981 (62.2) | 1.47 (1.32–1.62) | 1.16 (1.01–1.32) | |
| Zinc | 1 572 (42.8) | 2 099 (57.2) | 1.34 (1.26–1.43) | 1.12 (1.03–1.23) | |
| Any oral contraceptive | 5 048 (36.2) | 8 893 (63.8) | 1.24 (1.17–1.31) | 0.95 (0.89–1.02) | |
| Injectable contraceptive | 2 261 (50.6) | 2 208 (49.4) | 2.36 (2.21–2.52) | 1.37 (1.28–1.48) | |
| Emergency contraception | 1 701 (32.7) | 3 507 (67.) | 0.89 (0.84–0.95) | 1.06 (0.99–1.14) | |
| Intrauterine contraceptive device | 304 (53.7) | 262 (46.3) | 2.00 (1.64–2.44) | 2.07 (1.71–2.50) | |
| National Association of Patent and Proprietary Medicine Dealers | 5 506 (35.3) | 10 113 (64.7) | 0.65 (0.61–0.70) | 0.87 (0.79–0.95) | |
| Pharmacist Council of Nigeria | 1 137 (44.3) | 1 428 (55.7) | 1.41 (1.32–1.52) | 1.50 (1.34–1.67) | |
CI: confidence interval; OR: odds ratio.
a ORs were estimated using logistic regression. Standard errors for generating confidence intervals were estimated using bootstrap methods with 100 repetitions. Reference category is person without medical training in charge of the patent and proprietary medicine shop.
b The multivariate analysis controlled for the state in which the shop was located, the estimated number of customers per day, urban or rural location and the number of staff members.