| Literature DB >> 31613326 |
Don Jethro Mavungu Landu1,2, Michel Frédérich1, Joseph Manzambi Kuwekita3,4, Christian Bongo-Pasi Nswe5, J K Mbinze6, Sophie Liégeois7, Nicodème Kalenda Tshilombo7,8, Mineze Kwete Minga9, Patient Ciza Hamuli6,7, Philippe Hubert7, Roland Marini Djang'eing'a7.
Abstract
BACKGROUND: In the context of old pharmaceutical legislation and regulations not adapted to current realities, the aim of the present study was to evaluate the existing pharmaceutical system in peri-urban areas of Kinshasa.Entities:
Keywords: Characteristics of pharmacies; Democratic Republic of the Congo; Kinshasa; Peri-urban areas; Pharmaceutical legislation and regulation; Quality of antimalarials; Testing and Treatment Algorithm
Mesh:
Substances:
Year: 2020 PMID: 31613326 PMCID: PMC7322209 DOI: 10.1093/inthealth/ihz070
Source DB: PubMed Journal: Int Health ISSN: 1876-3405 Impact factor: 2.473
Figure 1Location of the study area in the peri-urban areas of Kinshasa.
Figure 2(A) Scheme of two surveys conducted at the level of pharmaceutical establishments and households. (B) Scheme of the third survey conducted at the level of pharmaceutical establishments.
Figure 3Conceptual framework of factors influencing the quality of medicines. Where laws and regulations are not updated and/or are not properly enforced by the national drug regulatory authority, law enforcement and inspection services become ineffective, resulting in non-compliance with good practices and the circulation of falsified medicines in thriving illicit markets. This has a negative impact on the quality of the medicines consumed.
Figure 4Comparison of the survey results from the pharmaceutical establishments and households in relation to the sale and consumption of antimalarial medicines in peri-urban areas of Kinshasa (pharmacy n=88, household n=526). Of a total of 1150 households surveyed, malaria occurred in 548 households, of which 526 used an antimalarial medicine. Antibiotics, analgesics and vitamins, reported by the respondents, were classified in the ‘other’ category.
Figure 5Comparison of the survey results from the pharmaceutical establishments and households in relation to the sale vs consumption of artemisinin derivatives alone or in combination (pharmacy n=30, household n=89).
Figure 6Visual analysis. On the left, improper label positioning. On the right, the presence of moisture traces on the primary packaging.
Results of quinine sample assay
| Product assayed | Quantity found after assay (%), mean±SD (n=3) | pH | Uniformity of mass | Decision |
|---|---|---|---|---|
| Quinine tablet | QD=300 mg | – | Compliant | Compliant |
| 92.7±0.21 | ||||
| Quinine tablet | QD=300 mg | – | Compliant | Compliant |
| 104.1±0.06 | ||||
| Quinine tablet | QD=300 mg | – | Compliant | Compliant |
| 95.2±1.64 | ||||
| Quinine drop 20% | QD=200 mg/ml | 1.52 | NA | Compliant |
| 104.4±0.50 | ||||
| Quinine drop 20% | QD=200 mg/ml | 1.52 | NA | Compliant |
| 96.2±1.54 | ||||
| Quinine drop 20% | QD=200 mg/ml | 1.69 | NA | Compliant |
| 98.3±1.21 | ||||
| Quinine drop 20% | QD=200 mg/ml | 1.51 | NA | Compliant |
| 98.1±1.05 | ||||
| Quinine drop 20% | QD=200 mg/ml | 1.59 | NA | Compliant |
| 108.6±1.28 | ||||
| Quinine drop 20% | QD=200 mg/ml | 1.6 | NA | Compliant |
| 98.6±0.60 | ||||
| Quinine drop 20% | QD=200 mg/ml | 1.62 | NA | Compliant |
| 95.9±0.51 | ||||
| Quinine injectable | QD=600 mg/2 mL | 1.83 | NA | Compliant |
| 97.7±0.09 | ||||
| Quinine injectable | QD=500 mg/2 ml | 2.07 | NA | Compliant |
| 98.9±0.02 | ||||
| Quinine syrup 2% | QD=200 mg/5 mL | 2.38 | NA | Compliant |
| 108.9±1.05 | ||||
| Quinine syrup 2% | QD=200 mg/5 mL | 2.86 | NA | Non-compliant |
| 115.7±0.78 | ||||
| Quinine syrup 2% | QD=200 mg/5 ml | 2.86 | NA | Non-compliant |
| 128.7±0.85 |
*Range 90.0–110.0%. QD: quantity claimed by the manufacturer.
Results of artemether–lumefantrine combination sample assay
| Quantity found after assay (%), mean±SD (n=3)* | Decision | |
|---|---|---|
| Artemether (QD=180 mg) | Lumefantrine (QD=1 080 mg) | |
| 83.6±0.68 | 90.3±1.59 | Non-compliant |
| 99.4±0.60 | 95.0±1.27 | Compliant |
| 85.1±1.84 | 82.5±2.92 | Non-compliant |
| 99.6±0.67 | 94.1±1.40 | Compliant |
| 99.4±0.52 | 97.1±1.04 | Compliant |
| 98.1±1.81 | 90.7±2.60 | Compliant |
| 92.8±1.47 | 90.6±1.82 | Compliant |
| 82.4±0.25 | 94.1±1.88 | Non-compliant |
| 90.8±0.51 | 78.7±1.54 | Non-compliant |
| 94.4±0.78 | 90.3±1.59 | Compliant |
| 95.6±0.41 | 97.2±1.41 | Compliant |
| 108.1±1.01 | 104.7±1.04 | Compliant |
| 91.1±1.31 | 93.7±1.38 | Compliant |
| 90.7±1.49 | 93.4±0.39 | Compliant |
| 95.1±1.42 | 82.8±0.93 | Non-compliant |
| 86.4±0.98 | 98.3±1.22 | Non-compliant |
| 96.6±0.87 | 87.4±1.01 | Non-compliant |
| 90.3±0.98 | 88.1±2.01 | Non-compliant |
| 95.9±1.04 | 100.4±3.36 | Compliant |
| 90.1±0.72 | 90.2±1.33 | Compliant |
| 97.3±0.78 | 81.5±2.01 | Non-compliant |
| 103.7±0.79 | 96.8±1.78 | Compliant |
| 98.4±1.64 | 99.0±1.81 | Compliant |
| 88.1±1.66 | 88.7±1.01 | Non-compliant |
| 105.5±1.12 | 91.2±0.85 | Compliant |
| 98.6±0.98 | 97.4±1.45 | Compliant |
| 99.7±1.78 | 98.1±1.48 | Compliant |
| 96.8±1.66 | 97.1±2.08 | Compliant |
| 99.7±0.78 | 97.7±1.27 | Compliant |
| 97.1±1.78 | 98.1±1.55 | Compliant |
Figure 7Distribution of antimalarial brand names sold in pharmaceutical establishments in the peri-urban areas of Kinshasa according to the certification status (n=124).
Results of the characterization of pharmaceutical establishments
| Standard | House built of durable materials, electrified with ceiling, comprising at least four rooms |
| observations | Building materials: 191 of 196 pharmacies were constructed of brick, except for five that were constructed either of sheet metal or wood. |
| Electricity: 185 of 196 pharmacies had an electrical installation, however, only 84 of 185 pharmacies with an electrical installation had electricity at the time of the investigation. | |
| Generator: Of the 112 pharmacies that either did not have an electrical installation or had the electrical installation without having electricity at the time of the survey, none of them had a generator working at the time of the investigation. | |
| Rooms: 185 of 196 pharmacies had only one room; four pharmacies had two rooms and one pharmacy had four rooms. | |
| Ceiling: 73 of 196 pharmacies did not have any ceiling. | |
| Standard | The Ministry of Health recommends a building area of about 45 m2, including 20 m2 for sales |
| observations | Surface: 1 of 196 establishments had an estimated area of 56 m2, all the others (195/196) had an area <45 m2, with 55 having an area <12 m2. |
| Standard | Suitable air conditioning, a refrigerator, metal or lacquered wood shelves, wall thermometer and hygrometer |
| observations | Air conditioning: 191 of 196 pharmacies did not have any air conditioning systems. |
| Window: 36 of 196 had no windows. Of the pharmacies with windows, 151 of 160 pharmacies had only one window. | |
| Fan: 91 of 196 pharmacies had a fan. Of the pharmacies with a fan, only 49 had working fans at the time of the survey. | |
| Refrigerator: 70 of 196 pharmacies had a refrigerator. However, of the pharmacies with a refrigerator, only 34 had a working refrigerator at the time of the survey. | |
| Shelves: 194 of 196 pharmacies had wooden shelves and one had metal shelves. The only pharmacy that did not have any shelves had a cabinet and a table. | |
| Wall thermometer and hygrometer: No pharmaceutical establishment had a wall thermometer or hygrometer. | |
| Other observations | Non-pharmaceutical products were sold in 74 of 196 pharmacies. 46 of 74 activities involved the sale of bottled water, followed by the sale of soft drinks and beer (18/74). The rest of the activities related to foreign exchange trade and the sale of cosmetics, food, jewellery and airtime credits. |
Figure 8A pharmaceutical establishment dealing with the sale of motor oil in a peri-urban area of Kinshasa.
Figure 9Mapping of pharmaceutical establishments on the basis of the WHO guidelines for temperature control. Four municipalities of the peri-urban areas of Kinshasa are represented: Mont Ngafula (upper left, 59.6%), Kisenso (lower left, 14.0%), Kimbaseke (upper right, 8.0%) and Nsele (lower right, 18.5%).