Literature DB >> 31613326

Quality of antimalarials in Kinshasa peri-urban areas with regard to local pharmaceutical legislation and regulation.

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.
METHODS: A prospective study was carried out during the period 2016-2018. The most used antimalarial medicines were identified through household and pharmaceutical establishment surveys. The samples of the obtained medicines were assayed with generic separation methods using the high-performance liquid chromatography technique coupled to a diode array detector. The registration status was checked for 126 antimalarial brand names. A characterization was carried out in 196 pharmaceutical establishments on the basis of standards set out by the Ministry of Health.
RESULTS: Of the 75 samples assayed, 19% (14/75) were non-compliant. Of the 124 brand names, 46.0% (57/124) were unlicensed and 14.5% (18/124) had an expired licence. Of the 196 pharmaceutical establishments, only 2 (1.0%) had an authorization to practice, none met all the Ministry of Health minimum standards and 24.5% (48/196) met the World Health Organization Guidelines for the Storage of Essential Medicines and Other Health Commodities.
CONCLUSIONS: More resources should be mobilized to apply regulator sanctions.
© The Author(s) 2019. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene.

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


Introduction

The alarming proliferation of poor-quality medicines is a real public health concern.[1] The initial difficulty in the fight against this scourge was finding a unanimous definition for the concept of poor-quality medicine. Three definitions have been adopted since May 2017 by the WHO: (i) substandard medical products also called ‘out of specification’: these are authorized medical products that fail to meet their quality standards, their specifications or both; (ii) unregistered/unlicensed medical products: medical products that have not undergone evaluation and/or approval by the national or regional regulatory authority for the area in which they are marketed/distributed or used, subject to permitted conditions under national or regional regulation and legislation; (iii) falsified medical products: medical products that deliberately/fraudulently misrepresent their identity, composition or source.[2] Falsified medicines may contain no active ingredient, an inappropriate active ingredient or the appropriate active ingredient but at a dosage outside the specification range. They are sometimes contaminated with bacteria and may also contain unknown impurities or toxic chemicals. They promote the development of antimicrobial resistance and medicine-resistant infections.[2,3] Falsification affects all categories of medicines.[3,4] However, antimalarials and antibiotics are most often reported as substandard or falsified medical products.[5,6] This situation is linked to the wide use of these two categories of medicines in both urban and peri-urban areas in sub-Saharan Africa.[1] In many developing countries in Africa, substandard or falsified medicines are estimated to account for >30% of the medicines in circulation.[7] This proportion can be up to 80% in some countries.[1] In the Democratic Republic of the Congo (DRC), some laws and regulations are no longer appropriate and do not allow an adequate response to the current challenges in the pharmaceutical sector. The informal market and trafficking of falsified medicines involves life-threatening diseases, and these medicines are the most sought after, particularly in the DRC, in order to fight malaria.[9] Malaria has its highest prevalence in peri-urban areas,[10] where the demand for antimalarials is growing exponentially. The issue related to the quality of medicine in Africa’s urban and peri-urban areas has been addressed by several authors.[1,8,11] However, aspects directly related to regulation enforcement have not been addressed. Thus the purpose of the present study was to assess the existing pharmaceutical system in peri-urban areas of Kinshasa, mainly with regard to the use of antimalarials and their quality, the proportion of unlicensed antimalarials and the characteristics of pharmaceutical establishments.

Materials and methods

Study setting

The city of Kinshasa is built mainly on two geomorphological sites: the ‘lower city’ or the ‘plain of Kinshasa’ and the ‘upper city’ or the ‘hill zone’.[12] The city has expanded much more in the south and southwest than in the east. The expansions to the east have reached the municipality of N’sele. The expansions to the south and southwest include the upper west city, whose most important administrative entity is the municipality of Mont Ngafula.[12,13] The present prospective study was carried out in peri-urban areas of Kinshasa in the four municipalities presented in Figure 1, during the period February 2016–May 2018. The period of the study covers two particular events: the publication in October 2016 of the third edition of the directory of pharmaceutical products registration by the Direction de la Pharmacie et du Médicament (DPM)[14] and implementation of the Kinshasa Health Provincial Division and the Kinshasa Health Provincial Inspectorate.[15]
Figure 1

Location of the study area in the peri-urban areas of Kinshasa.

Location of the study area in the peri-urban areas of Kinshasa.

Sampling and data collection

Study design

Sampling type

Two types of sampling were used: simple random sampling for both surveys of pharmaceutical establishments and the procurement sources for assayed antimalarials, and two-stage cluster sampling for the household survey.

General formula of sampling size

The theoretical sample size (N) was calculated based on the following general formula: N=p(1−p)z2/E2, where p is the prevalence, z is the confidence interval and E is the margin of error. However, for the household survey, the cluster effect was taken into account, so the theoretical sample size was calculated based on the following formula: N=[p(1−p)t2/E2]DEFF, where t is the confidence interval for the cluster sampling and DEFF is the cluster effect.

The investigation team

The investigation team consisted of 1 principle investigator, 2 supervisors and 16 investigators. The principle investigator was the contact person with the political, administrative and health authorities of the study site. In addition, the principle investigator had to fully understand the purpose of the study, the languages used for the survey, the survey methods and the data collection tools. Supervisors and investigators had to have a medical background in order to help the respondents understand the questionnaire. Specific additional training related to the main objective of the study was given, particularly on the survey methods and the data collection tools.

Summary of data collection processes and expected results

The three surveys and the outcomes are presented in Figure 2a and b.
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.

(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.

Inclusion and non-inclusion criteria

At the household level, the questionnaire was administered to the household head (first target). If the household head was absent, the oldest member (>15 y of age) of the household present at the time of the survey was interviewed.[16] Households that did not satisfy either of these two conditions were not included. At the point of sale, the questionnaire was administered to the seller. Only private pharmacies were included in the study. In 2013, the share of the private sector antimalarial market accounted for 97%.[17] Neighbourhoods with limited geographic access were not included. More details on sampling, sample size, data collection for the household survey, the survey of pharmaceutical establishments and procurement sources for assayed antimalarials are available in the supplementary data.

Analyses

Data analyses

Data from the household and the first visit at the pharmaceutical establishments were captured using the Census and Survey Processing System version 6.0.1 (US Census Bureau, Washington, DC, USA). The data were analysed using the Statistical Package for the Social Sciences version 23.0.0 (IBM, Armonk, NY, USA). Data from the second visit to the pharmaceutical establishments were collected through the KoBoCollect application (Harvard Humanitarian Initiative software, Cambridge, MA, USA). The mapping of the study area and the surveyed pharmaceutical establishments was performed using ArcGIS version 10.5 (Environmental Systems Research Institute, Redlands, CA, USA).

Physicochemical analyses

The quality analysis of the collected medicine samples was carried out at the drug testing laboratory at the University of Kinshasa and at the WHO prequalified laboratory (Department of Pharmacy, Liège University) using generic separation methods with the high-performance liquid chromatography technique coupled to a diode array detector. The physicochemical analyses consisted of identifying the active ingredients, their dosage and in some cases the pH of the solutions and the mass variation.

Ethical considerations

The study protocol was approved by the Congolese National Committee for Health Ethics (authorization no. 016/CNES/BN/PMMF/2016 of 8 January 2016). The ethical principles outlined in the Declaration of Helsinki were observed. In accordance with the Ethical Guidelines for Research Involving Human Subjects in the DRC and based on the nature of the study, the DRC National Ethics Committee for Health authorized verbal informed consent. The investigators explained in detail the purpose of the study before collecting and recording the verbal informed consent of the participants. The participants were not exposed to any experiment, as no biological samples were collected for analysis. They essentially answered a questionnaire and were not followed up after the interview. The survey questionnaire was anonymous. Thus the study presented no risk or negative effect for the participants; on the contrary, the information provided was beneficial to them.

Results

Interviews and desk reviews

Before investigating, in addition to the desk review of the narrative reports, several interviews were held with the Director of General Inspectorate of Health, the Provincial Medical Inspector and the Chief Medical Officer of the Kinshasa Provincial Division. It was noticed that the quality of medicine in Kinshasa depends very much on the legislation and regulations in force. The entire country is also concerned. A conceptual framework (Figure 3) presents the various aspects resulting from the implementation of legislative and regulatory texts, which ultimately have an influence on the quality of medicines.
Figure 3

Conceptual 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.

Conceptual 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. Comparison 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. Comparison 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).

The most frequently sold and most used antimalarials

Two surveys were conducted concurrently. One included 1150 households and the other included 88 pharmacy sales clerks in order to identify the most used and the most frequently sold antimalarials. In the household, the distribution of the respondents indicated a predominance of women (796/1150) compared with men (354/1150), i.e. a male:female sex ratio of 0.4. The mean age of respondents was 34±13 y (range18–83). In terms of education, 556 of 1150 respondents (49.2%) had completed at least secondary school. A total of 662 of 1150 respondents (57.6%) were married or cohabiting/living together and 630 (55.5%) had a monthly income of >$50 and spent two-thirds of their income on food, with one-third for other expenses (transportation, medical care, etc.). A total of 548 of the 1150 surveyed households (47.7%) reported facing an episode of malaria in the 2 weeks prior to the survey and 526 of the 548 households (96.0%) that faced a malaria episode used an antimalarial medicine. Regarding the surveyed pharmaceutical establishments, the distribution showed a predominance of men (55/88) compared with women (33/88), i.e. a male:female sex ratio of 1.7. The mean age was 35±10 y (range 18–70). In 57 of 88 cases (65%), the seller was not the owner of the pharmaceutical establishment. Visual analysis. On the left, improper label positioning. On the right, the presence of moisture traces on the primary packaging. Results of quinine sample assay *Range 90.0–110.0%. QD: quantity claimed by the manufacturer. Interviews with households (Figure 4) showed that the most used medicine was quinine, followed by artemisinin derivatives and the sulfadoxinepyrimethamine combination. In the pharmaceutical establishments, these same antimalarials are reported as being the most frequently sold. Also, 11.8% (62/526) of people had forgotten the name of the antimalarial they used. Among the artemisinin derivatives alone or in combination (Figure 5), the artemetherlumefantrine combination was found to be the most frequently sold (17/30) and used (37/89), followed by α-β artemether in terms of sales (6/30) and in terms of use (27/89). In third place, sellers reported semisynthetic methoxymethane of artemisinin (4/30), while other households reported water-soluble artemisinin hemisuccinate (5/89).
Figure 4

Comparison 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 5

Comparison 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).

Quality of antimalarials and registration status

Visual analysis

The irregularities that were observed mainly concerned the artemetherlumefantrine combination. Twelve of 30 cases (40%) had a labelling issue and 17% (5/30) of the packages showed traces of moisture (Figure 6).
Figure 6

Visual analysis. On the left, improper label positioning. On the right, the presence of moisture traces on the primary packaging.

Identification and assay of the antimalarials

Analyses were performed on the two most frequently sold and most used antimalarials, quinine and the artemetherlumefantrine combination. The first decisive step was to confirm the presence of the active ingredients and the content as claimed by the manufacturer. The manufacturer’s claims were considered as the reference (100%), with a range of 90.0–110.0%. Molecules whose content was within this range were compliant. Quinine analyses involved 15 samples, comprising 7 oral drops (47%), 3 tablets (20%), 3 syrups (20%) and 2 injectable ampoules (13%) (Table 1). Two syrup samples (13.3%) were found to be non-compliant, with assay results above the specifications. Analyses also included 30 samples containing the artemetherlumefantrine combination in powder for oral suspension (Table 2). Of the 60 analyses, 12 (20%) were non-compliant, among which 7 were due to lumefantrine molecules and 5 were due to artemether molecules with assay results below the specifications.
Table 1

Results of quinine sample assay

Product assayedQuantity found after assay (%), mean±SD (n=3)*pHUniformity of massDecision
Quinine tabletQD=300 mgCompliantCompliant
92.7±0.21
Quinine tabletQD=300 mgCompliantCompliant
104.1±0.06
Quinine tabletQD=300 mgCompliantCompliant
95.2±1.64
Quinine drop 20%QD=200 mg/ml1.52NACompliant
104.4±0.50
Quinine drop 20%QD=200 mg/ml1.52NACompliant
96.2±1.54
Quinine drop 20%QD=200 mg/ml1.69NACompliant
98.3±1.21
Quinine drop 20%QD=200 mg/ml1.51NACompliant
98.1±1.05
Quinine drop 20%QD=200 mg/ml1.59NACompliant
108.6±1.28
Quinine drop 20%QD=200 mg/ml1.6NACompliant
98.6±0.60
Quinine drop 20%QD=200 mg/ml1.62NACompliant
95.9±0.51
Quinine injectableQD=600 mg/2 mL1.83NACompliant
97.7±0.09
Quinine injectableQD=500 mg/2 ml2.07NACompliant
98.9±0.02
Quinine syrup 2%QD=200 mg/5 mL2.38NACompliant
108.9±1.05
Quinine syrup 2%QD=200 mg/5 mL2.86NANon-compliant
115.7±0.78
Quinine syrup 2%QD=200 mg/5 ml2.86NANon-compliant
128.7±0.85

*Range 90.0–110.0%. QD: quantity claimed by the manufacturer.

Table 2

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±0.6890.3±1.59Non-compliant
99.4±0.6095.0±1.27Compliant
85.1±1.8482.5±2.92Non-compliant
99.6±0.6794.1±1.40Compliant
99.4±0.5297.1±1.04Compliant
98.1±1.8190.7±2.60Compliant
92.8±1.4790.6±1.82Compliant
82.4±0.2594.1±1.88Non-compliant
90.8±0.5178.7±1.54Non-compliant
94.4±0.7890.3±1.59Compliant
95.6±0.4197.2±1.41Compliant
108.1±1.01104.7±1.04Compliant
91.1±1.3193.7±1.38Compliant
90.7±1.4993.4±0.39Compliant
95.1±1.4282.8±0.93Non-compliant
86.4±0.9898.3±1.22Non-compliant
96.6±0.8787.4±1.01Non-compliant
90.3±0.9888.1±2.01Non-compliant
95.9±1.04100.4±3.36Compliant
90.1±0.7290.2±1.33Compliant
97.3±0.7881.5±2.01Non-compliant
103.7±0.7996.8±1.78Compliant
98.4±1.6499.0±1.81Compliant
88.1±1.6688.7±1.01Non-compliant
105.5±1.1291.2±0.85Compliant
98.6±0.9897.4±1.45Compliant
99.7±1.7898.1±1.48Compliant
96.8±1.6697.1±2.08Compliant
99.7±0.7897.7±1.27Compliant
97.1±1.7898.1±1.55Compliant
Results of artemetherlumefantrine combination sample assay

Registration status

A total of 57 of 124 antimalarials (46.0%) were unlicensed by the DPM (Figure 7).
Figure 7

Distribution of antimalarial brand names sold in pharmaceutical establishments in the peri-urban areas of Kinshasa according to the certification status (n=124).

Characteristics of pharmaceutical establishments

Of 196 outlets, only two had legal authorization from the Ministry of Health. The observations presented in Table 3 indicate that in some cases the front of the pharmaceutical establishment served as a trading venue for products not related to health, such as engine oil (Figure 8). No pharmaceutical establishment met the Ministry of Health minimum standards. The temperature control criteria recommended by the WHO were met by 24.5% (48/196) of the pharmaceutical establishments in the area of study (Figure 9).
Table 3

Results of the characterization of pharmaceutical establishments

StandardHouse built of durable materials, electrified with ceiling, comprising at least four rooms
observationsBuilding 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.
StandardThe Ministry of Health recommends a building area of about 45 m2, including 20 m2 for sales
observationsSurface: 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.
StandardSuitable air conditioning, a refrigerator, metal or lacquered wood shelves, wall thermometer and hygrometer
observationsAir 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 observationsNon-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 8

A pharmaceutical establishment dealing with the sale of motor oil in a peri-urban area of Kinshasa.

Figure 9

Mapping 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%).

Results of the characterization of pharmaceutical establishments

Discussion

Pharmaceutical legislation and regulations constitute a guarantee for the quality of medicine (Figure 3). Countries with lax pharmaceutical governance and pharmacovigilance are most exposed to substandard and falsified medicines.21,22 Thus efforts to improve supply chain management, inspection and regulation are essential to control exposure to substandard and falsified medicines.23 In the case of simple malaria, the National Malaria Control Program recommends artemisinin-based combination therapy (artemetherlumefantrine or artesunate–amodiaquine) as first-line therapy. In case of failure, the Program recommends another artemisinin-based combination therapy or quinine combined with an antibiotic.[22] Note that the care of patients with complicated malaria is undertaken in health facilities, which were not included in our surveys. Pharmacy and household surveys (Figure 4) showed a greater use of quinine compared with the artemisinin derivatives, including the artemisinin-based combinations. In households, the rate of forgetting is quite high, 11.8% (62/526). In Kinshasa, the Demographic and Health Survey II reported the same trends. The most commonly used antimalarial was quinine (68.2%), followed by artemisinin derivatives (17.7%), including artemisinin-based combinations (14.6%).[16] This increased use of quinine provides information on non-compliance with good antimalarial use practices, as advocated by the National Malaria Control Program. It should be noted that quinine is more affordable than the artemetherlumefantrine combination and is mostly used for fever.[17,22] For quinine, 2 of 15 samples of an overdosage of syrup were found, which could cause haemolytic anaemia, digestive intolerance, tinnitus, headache and vision problems. This overdosage could be a manufacturing issue. Overall, of a total of 75 molecules assayed, 18.7% (14/75) were non-compliant. This proportion of non-compliant antimalarials is close to that reported by Ozawa et al.’s meta-analysis of 19.1%.[21] The size of the samples analysed was not representative. However, the preliminary survey conducted on households and pharmacies allowed for the selection of the most representative antimalarials used. Quinine, which is the most used medicine, had a lower rate of non-compliance than artemetherlumefantrine. Distribution of antimalarial brand names sold in pharmaceutical establishments in the peri-urban areas of Kinshasa according to the certification status (n=124). A pharmaceutical establishment dealing with the sale of motor oil in a peri-urban area of Kinshasa. Mapping 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%). In the DRC there are 29 production units, only 5 of which apply good manufacturing practices,[15,23] and most of these are based in Kinshasa. The Ministry of Health reports indicate that the main characteristic of the pharmaceutical industry in the DRC is the circulation of poor-quality medicines. Two causes are mentioned. The first relates to the dysfunction of the quality assurance system and the second is related to ineffective pharmaceutical inspections. This is caused by a lack of laboratory equipment for quality control.[15,23] Nearly half of the antimalarials in circulation had no marketing authorization (Figure 7). This allowed us to evaluate the size of an illicit market that hinders the efforts of health authorities to improve the health of the population. It is hoped that the General Inspectorate for Health, instituted in 2017, will provided oversight and inspections to improve quality control.[24] Antimalarials authorized on the Congolese market accounted for 56.0% (67/124) of the total, of which 14.5% (18/124) had an expired licence (Figure 7). A review of the authorized medicines directory reported worrisome information. The review, conducted in December 2017, revealed that half of all authorizations (2322) issued between January 2010 and September 2017 had expired. In addition, 109 marketing authorizations were to expire within 3 months of the review.[25] The worrisome growth of the illicit medicine market is caused by the weakness of the healthcare system. Intersectoral collaboration between the national drug regulatory authority, national law enforcement (customs, police and justice) and international law enforcement services is needed.[15] Only 2 surveyed outlets of 196 were authorized to operate by the Ministry of Health. The DPM recognizes its limits to control this anarchic development of the private market. The total number of pharmaceutical establishments in the DRC remains unknown.[23,26] In the field, the multitude of regulations generates conflicts between different state services within this sector, particularly the Ministries of Health, Environment, Justice, Interior and Economy. To this list of ministries is added the Congolese national police.[23] Almost all (195/196) of the establishments were found not to have any air conditioning systems (Table 3). Nearly three of five outlets (112/196) had no electricity at the time of the survey. Overall, no outlet met all the minimum standards set by the national drug regulatory authority. To control the temperature, the WHO Guidelines for the Storage of Essential Medicines and Other Health Commodities advocates for three conditions: a means of controlling humidity and heat (windows, fan, air conditioner or dehumidifier), the presence of a refrigerator and a power supply.[18] Only 24.5% (48/196) of outlets comply with these WHO guidelines (Figure 9). Therefore, good conservation practices[18,27] are not being followed. In the tropical climate of the DRC, this exposure of medicines to hot, humid weather greatly increases the risk of degradation, making the expiration date meaningless.[1,28] Good pharmaceutical laws and regulations as well as implementation help safeguard the quality of medicines. The health of the entire Congolese population depends on this quality. The DRC should do more to strengthen the effectiveness of the National Drug Regulatory Authority. They also need legislation and regulations and an effective means of enforcement. It will also be necessary to mobilize more material, financial and human resources to achieve these goals. Click here for additional data file.
  10 in total

1.  Contaminated drugs are held responsible for 120 deaths in Pakistan.

Authors:  Sophie Arie
Journal:  BMJ       Date:  2012-02-07

2.  [How to optimize the efficiency of international sanitary aid in the Democratic Republic of Congo].

Authors:  Joseph Manzambi Kuwekita; Olivier Bruyère; Michèle Guillaume; Christiane Gosset; Jean-Yves Reginster
Journal:  Sante Publique       Date:  2015 Jan-Feb       Impact factor: 0.203

3.  Access to artemisinin-based combination therapies and other anti-malarial drugs in Kinshasa.

Authors:  P Nkoli Mandoko; V Sinou; D Moke Mbongi; D Ngoyi Mumba; G Kahunu Mesia; J Losimba Likwela; S Bi Shamamba Karhemere; L Muepu Tshilolo; J-J Tamfum Muyembe; D Parzy
Journal:  Med Mal Infect       Date:  2018-03-09       Impact factor: 2.152

4.  Impact of poor-quality medicines in the 'developing' world.

Authors:  Paul N Newton; Michael D Green; Facundo M Fernández
Journal:  Trends Pharmacol Sci       Date:  2010-02-01       Impact factor: 14.819

5.  Quality of the antimalarial medicine artemether - lumefantrine in 8 cities of the Democratic Republic of the Congo.

Authors:  Jean-Pierre Mufusama; Karine Ndjoko Ioset; Doris Feineis; Ludwig Hoellein; Ulrike Holzgrabe; Gerhard Bringmann
Journal:  Drug Test Anal       Date:  2018-07-18       Impact factor: 3.345

6.  The malaria testing and treatment market in Kinshasa, Democratic Republic of the Congo, 2013.

Authors:  Godéfroid Mpanya; Antoinette Tshefu; Joris Losimba Likwela
Journal:  Malar J       Date:  2017-02-28       Impact factor: 2.979

Review 7.  Guidelines for field surveys of the quality of medicines: a proposal.

Authors:  Paul N Newton; Sue J Lee; Catherine Goodman; Facundo M Fernández; Shunmay Yeung; Souly Phanouvong; Harparkash Kaur; Abdinasir A Amin; Christopher J M Whitty; Gilbert O Kokwaro; Niklas Lindegårdh; Patrick Lukulay; Lisa J White; Nicholas P J Day; Michael D Green; Nicholas J White
Journal:  PLoS Med       Date:  2009-03-24       Impact factor: 11.069

Review 8.  Strategies and Systems-Level Interventions to Combat or Prevent Drug Counterfeiting: A Systematic Review of Evidence Beyond Effectiveness.

Authors:  Racha Fadlallah; Fadi El-Jardali; Farah Annan; Hayat Azzam; Elie A Akl
Journal:  Pharmaceut Med       Date:  2016-08-19

9.  A malaria risk map of Kinshasa, Democratic Republic of Congo.

Authors:  Giovanfrancesco Ferrari; Henry M Ntuku; Sandro Schmidlin; Eric Diboulo; Antoinette K Tshefu; Christian Lengeler
Journal:  Malar J       Date:  2016-01-13       Impact factor: 2.979

10.  Prevalence and Estimated Economic Burden of Substandard and Falsified Medicines in Low- and Middle-Income Countries: A Systematic Review and Meta-analysis.

Authors:  Sachiko Ozawa; Daniel R Evans; Sophia Bessias; Deson G Haynie; Tatenda T Yemeke; Sarah K Laing; James E Herrington
Journal:  JAMA Netw Open       Date:  2018-08-03
  10 in total

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