| Literature DB >> 30625187 |
Denise Lynn Buchner1, Freddy Eric Kitutu2,3, Dónall Eoin Cross4, Esther Nakamoga5, Phyllis Awor5.
Abstract
INTRODUCTION: Malaria, pneumonia and diarrhea are leading causes of death in young children in Uganda. Between 50-60% of sick children receive treatment from the private sector, especially drug shops. There is an urgent need to improve quality of care and regulation of private drug shops in Uganda. This study was conducted to determine the distribution, the licensing status and characteristics of drug shops in four sub-districts of Kamuli district.Entities:
Mesh:
Substances:
Year: 2019 PMID: 30625187 PMCID: PMC6326429 DOI: 10.1371/journal.pone.0209641
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Sub-counties selected for drug shop mapping and surveys.
Inset A indicates position of main map within Uganda. Inset B the position of Inset A within Africa. Data courtesy of GADM (gadm.org) and OpenStreetMap (openstreetmap.org: OpenStreetMap contributors).
Fig 2Licensing status of open drug shops and availability of health facilities in four sub-counties.
Symbols of drug shops in very close proximity are displaced in an orbit around the actual location. Insets: representative close-ups illustrating the high degree of spatial clustering of drug shops. Data courtesy of OpenStreetMap (openstreetmap.org; OpenStreetMap contributors).
Length of drug shop operation.
| Length | All (n = 123) | % | Licensed (n = 12) | % | Unlicensed (n = 93) | % | Unknown (18) | % |
|---|---|---|---|---|---|---|---|---|
| < 6 months | 14 | 11 | 1 | 8 | 11 | 12 | 2 | 11 |
| 6 months–1 year | 28 | 23 | 3 | 25 | 22 | 24 | 3 | 17 |
| 1–3 years | 33 | 27 | 3 | 25 | 25 | 27 | 5 | 28 |
| > 3 years | 47 | 38 | 5 | 42 | 34 | 37 | 8 | 44 |
| Unknown | 1 | 1 | 0 | - | 1 | 1 | 0 | - |
Status of drug seller working in the drug shop.
| Status | All (n = 123) | % | Licensed (n = 12) | % | Unlicensed (n = 93) | % | Unknown (n = 18) | % |
|---|---|---|---|---|---|---|---|---|
| Owner/ co-owner | 89 | 72 | 8 | 67 | 69 | 74 | 12 | 67 |
| Employee | 22 | 18 | 3 | 25 | 15 | 16 | 4 | 22 |
| Relative | 11 | 9 | 1 | 8 | 8 | 9 | 2 | 11 |
| Friend | 1 | 1 | 0 | - | 1 | 1 | 0 | - |
How many workers work in this drug shop?.
| # | All (n = 123) | % | Licensed (n = 12) | % | Unlicensed (n = 93) | % | Unknown (n = 18) | % |
|---|---|---|---|---|---|---|---|---|
| One | 85 | 69 | 5 | 42 | 70 | 75 | 10 | 5 |
| Two | 33 | 27 | 6 | 50 | 19 | 20 | 8 | 44 |
| Three | 3 | 2 | 1 | 8 | 2 | 2 | 0 | - |
| Four | 1 | 1 | 0 | - | 1 | 1 | 0 | - |
| Five | 1 | 1 | 0 | - | 1 | 1 | 0 | - |
| Mean | 1.37 | 1.66a | 1.32a | 1.4 | ||||
Values sharing a letter are not significantly different (p>0.05); comparison undertaken only between licensed and unlicensed drug shops (Student’s t-test).
Training of drug sellers present on day of mapping.
| Training | All (n = 123) | % | Licensed (n = 12) | % | Unlicensed (n = 93) | % | Unknown (n = 18) | % |
|---|---|---|---|---|---|---|---|---|
| Nursing Assistant | 86 | 70 | 8 | 67 | 65 | 70 | 13 | 72 |
| Midwife | 15 | 12 | 0 | - | 11 | 12 | 4 | 22 |
| Nurse | 12 | 10 | 3 | 25 | 9 | 10 | 0 | - |
| Doctor | 2 | 2 | 0 | - | 1 | 1 | 1 | 6 |
| Other | 8 | 7 | 1 | 8 | 7 | 8 | 0 | - |
Drug seller self-reported knowledge about signs of a very sick child.
| Danger Sign | All (n = 123) | % | Licensed (n = 12) | % | Unlicensed (n = 93) | % | Unknown (n = 18) | % |
|---|---|---|---|---|---|---|---|---|
| Convulsions | 58 | 47 | 8 | 67 | 40 | 43 | 10 | 56 |
| Diarrhea | 50 | 41 | 9 | 75 | 34 | 37 | 7 | 39 |
| Dehydration | 47 | 38 | 6 | 50 | 36 | 39 | 6 | 33 |
| Vomiting | 40 | 33 | 4 | 33 | 30 | 32 | 6 | 33 |
| Difficult breathing | 28 | 23 | 7 | 58 | 18 | 19 | 4 | 22 |
| Very hot | 25 | 20 | 3 | 25 | 19 | 20 | 3 | 17 |
| Blood in stool | 25 | 20 | 3 | 25 | 15 | 16 | 7 | 39 |
| Unable to breastfeed | 19 | 15 | 5 | 42 | 11 | 12 | 3 | 17 |
| Very weak | 16 | 13 | 3 | 25 | 12 | 13 | 1 | 6 |
| Unconscious | 15 | 12 | 3 | 25 | 10 | 11 | 2 | 11 |
| Very small/ thin | 7 | 6 | 0 | - | 6 | 6 | 1 | 6 |
| Very cold | 2 | 2 | 0 | - | 3 | 3 | 0 | - |
| Red/bleeding umbilical cord | 3 | 2 | 0 | - | 2 | 2 | 1 | 6 |
| Mean total number of signs recognized | 2.63 | 3.83a | 2.43b | 2.83 | ||||
Values not sharing a letter are significantly different (p<0.05); comparison undertaken only between licensed and unlicensed drug shops (Student’s t-test).
Characteristics of open drug shops on day of mapping.
| Characteristic | All (n = 123) | % | Licensed (n = 12) | % | Unlicensed (n = 93) | % | Unknown (n = 18) | % |
|---|---|---|---|---|---|---|---|---|
| Door that locks | 121 | 9 | 12 | 100 | 91 | 98 | 18 | 100 |
| Drug storage free from moisture | 118 | 96 | 11 | 92 | 90 | 97 | 17 | 94 |
| Windows or vents that open | 100 | 81 | 9 | 75 | 75 | 81 | 16 | 89 |
| Rubber gloves | 70 | 57 | 11 | 92 | 47 | 51 | 12 | 67 |
| Electricity | 43 | 35 | 9 | 75 | 26 | 28 | 8 | 44 |
| Medicines stored on floor | 11 | 9 | 0 | - | 11 | 12 | 0 | - |
| Evidence of pests | 7 | 6 | 0 | - | 6 | 7 | 1 | 6 |
| Bed for patient to lie on | 5 | 4 | 0 | - | 4 | 4 | 1 | 6 |
| Direct sunlight on stored drugs | 4 | 3 | 0 | - | 3 | 3 | 1 | 6 |
| Refrigerator | 1 | 1 | 0 | - | 1 | 1 | 0 | - |
| Mean infrastructure score | 6.58 | 7.33a | 6.38b | 7.11 | ||||
Values not sharing a letter are significantly different (p<0.05); comparison undertaken only between licensed and unlicensed drug shops (Student’s t-test).
Drugs for sale.
| Drugs | All (n = 114) | % | Licensed (n = 11) | % | Unlicensed (n = 86) | % | Unknown (n = 17) | % |
|---|---|---|---|---|---|---|---|---|
| Drugs for malaria | 104 | 91 | 11 | 100 | 76 | 88 | 17 | 100 |
| Antibiotics | 90 | 79 | 11 | 100 | 65 | 76 | 14 | 82 |
| ORS | 92 | 81 | 9 | 82 | 68 | 79 | 15 | 88 |
| Zinc | 64 | 56 | 8 | 73 | 42 | 49 | 14 | 82 |
| RDT | 13 | 11 | 3 | 27 | 4 | 5 | 6 | 35 |