| Literature DB >> 25227916 |
Francis Wafula1, Timothy Abuya, Abdinasir Amin, Catherine Goodman.
Abstract
BACKGROUND: Specialized drug shops (SDSs) are popular in Sub-Saharan Africa because they provide convenient access to medicines. There is increasing interest in how policymakers can work with them, but little knowledge on how their operation relates to regulatory frameworks. This study sought to describe characteristics and predictors of regulatory practices among SDSs in Kenya.Entities:
Mesh:
Year: 2014 PMID: 25227916 PMCID: PMC4175572 DOI: 10.1186/1472-6963-14-394
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Rules and regulations governing the retail pharmaceutical sector in Kenya
| Legislation/regulation/rule | Main purpose | Front-line enforcers |
|---|---|---|
| The Pharmacy and Poisons Act (Cap 244) | Govern pharmacy profession, and manufacture, supply and use of medicines | Pharmaceutical inspectors |
| The Public Health Act | Govern all aspects of public health, including medicines | Public health officers |
| The Food, Drugs and Chemical Substances Act | Ensure safe provision of foods, drugs and chemical substances | Public health officers |
| The Local Government Act | Govern local authorities, including licensing local service providers | Local council inspectors |
| The Narcotic Drugs and Psychotropic Substances Act | Control possession and trafficking of narcotic drugs and psychotropic substances | All types of inspectors (includes public health officers, pharmaceutical inspectors) |
| Anti Counterfeit Act | Prevent counterfeiting of medicines and related commodities | All types of inspectors |
| Guidelines for Registration of Premises | Outline minimum requirements for issuance of wholesale and retail licenses | Pharmaceutical inspectors |
| Guidelines for Good Wholesaling and Retailing Practice | Outline minimum requirements for the daily operation of a retail or wholesale pharmacy | Pharmaceutical inspectors |
| Continuous Professional Development points system | Assess practitioners for a minimum score with regard to professional knowledge | Pharmaceutical Society of Kenya Training Department |
Rules governing the retail pharmaceutical sector in Kenya
| Area regulated | Specific rules |
|---|---|
| Structure-related regulations | ▪ → Premises must be registered |
| ▪ → Annual premise license must be in place | |
| ▪ → Licenses must be displayed on the wall | |
| ▪ → Premises must comply with structural requirements for pharmacy practice: | |
| - → Premises must have construction of permanent nature | |
| - → Premises must be well lit and ventilated | |
| - → Premises must have a separate dispensing area of minimum size 8 by 10 feet | |
| - → Premises must have water, toilet facilities and lighting; proper storage area for medicines | |
| Personnel and practice related regulations | ▪ → Personnel must have proper qualification and registration |
| ▪ → Annual practice license must be in place | |
| ▪ → Dispensing prescription medicines only with a valid prescription | |
| ▪ → Medicines sold must be properly labeled | |
| ▪ → Advertising of medicines and services not allowed without due permission | |
| ▪ → SDSs must not stock other household commodities alongside medicines | |
| ▪ → Records must be kept for the sale of prescription medicines | |
| Equipment and materials related regulations | ▪ → The premises should have basic equipment, including a refrigerator and a narcotics cupboard |
| ▪ → The premises should have reference materials such as Martindale, reference showing drugs available in the Kenyan market, and the Pharmacy and Poisons Act |
Figure 1Map of Kenya showing study districts.
Regulatory characteristics of SDSs in the two districts (n = 213)
| Total | Districts | Locations | |||||
|---|---|---|---|---|---|---|---|
| n (%) | Bungoma | Kakamega | p-Value | Urban | Rural | p-Value | |
| n (%) | n (%) | n (%) | n (%) | ||||
| Number of shops surveyed | 213 | 120 | 93 | - | 65 | 148 | - |
|
| |||||||
| Premises made of bricks or stone | 210 (99) | 119 (99) | 91 (98) | 0.4 | 64 (98) | 146 (99) | 0.08 |
| Shops with separate dispensing room | 46 (22) | 19 (16) | 27 (29) | 0.02 | 28 (43) | 18 (12) | <0.001 |
| Shops selling household merchandise with medicines | 50 (23) | 26 (22) | 24 (26) | 0.5 | 13 (20) | 37 (25) | 0.4 |
| Shops displaying any licenses on the wall | 119 (56) | 66 (55) | 53 (58) | 0.7 | 41 (63) | 78 (53) | 0.1 |
| Shops with a pharmacy-qualified staff member1 | 99 (46) | 52 (43) | 47 (51) | 0.3 | 39 (60) | 60 (41) | 0.009 |
| Staff knows name of main law governing pharmacy2 | 64 (30) | 33 (27) | 31 (33) | 0.4 | 33 (51) | 31 (21) | <0.001 |
|
| |||||||
| Shops with a prescription recording book | 89 (42) | 58 (48) | 31 (33) | 0.03 | 37 (57) | 52 (35) | 0.003 |
| Shops with a working refrigerator available | 25 (12) | 13 (11) | 12 (13) | 0.6 | 18 (28) | 7 (5) | <0.001 |
| Shops with a narcotics cupboard available | 39 (18) | 26 (22) | 13 (14) | 0.2 | 24 (37) | 15 (10) | <0.001 |
|
| |||||||
| Shops inspected within the last 12 months | 182 (85) | 104 (87) | 78 (84) | 0.6 | 58 (89) | 124 (84) | 0.3 |
1Includes pharmacists and pharmaceutical technologists, the two cadres recognized by the Kenyan law.
2Staff who could correctly name the ‘Pharmacy and Poisons Act’ as the main legislation governing pharmacy.
Univariate and multivariate analysis of predictors for selected regulatory practices (n = 213)
| Keeping prescription records | Availability of a working refrigerator | Displaying licenses in premises | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Predictor variable | n (%) | Unadjusted OR (95% CI) p-value | Adjusted OR (95% CI) p-value | n (%) | Unadjusted OR (95% CI) p-value | Adjusted OR (95% CI) p-value | n (%) | Unadjusted OR (95% CI) p-value | Adjusted OR (95% CI) p-value | |
|
| ||||||||||
| Bungoma | 42 (35) | 1.09 (0.61-1.95) p = 0.800 | 1.31 (0.69-2.50) p = 0.400 | 13 (10) | 0.82 (0.35-1.90) p = 0.600 | 0.86 (0.30-2.47) p = 0.700 | 66 (55) | 0.89 (0.51-1.55) p = 0.700 | 0.95 (0.52-1.74) p = 0.900 | |
| Kakamega | 30 (33) | 12 (13) | 53 (58) | |||||||
|
| ||||||||||
| Urban | 31 (50) | 2.58 (1.37-4.86) p = 0.002 | 1.94 (0.97-3.88) p = 0.050 | 18 (28) | 7.71 (2.86-20.77) p < 0.001 | 4.14 (1.39-12.27) p = 0.010 | 41 (63) | 1.55 (0.84-2.85) p = 0.200 | 0.99 (0.50-1.97) p = 0.900 | |
| Rural | 41 (28) | 7 (5) | 78 (53) | |||||||
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| Yes | 49 (42) | 2.19 (1.18-4.08) p = 0.010 | 1.35 (0.69-2.67) p = 0.300 | 23 (19) | 10.66 (2.30-49.26) p < 0.001 | 4.02 (0.81-20.10) p = 0.090 | - | - | - | |
| No | 22 (25) | 2 (2) | - | |||||||
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| ||||||||||
| Yes | 49 (50) | 3.71 (1.96-7.00) p < 0.001 | 2.70 (1.38-5.31) p = 0.004 | 23 (23) | 16.94 (3.53-81.20) p < 0.001 | 6.21 (1.26-30.54) p = 0.020 | 69 (70) | 2.95 (1.63-5.34) p < 0.001 | 1.95 (1.05-3.64) p = 0.030 | |
| No | 23 (21) | 2 (2) | 50 (45) | |||||||
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| Yes | 35 (55) | 3.52 (1.84-6.71) 001 | 1.98 (0.95-4.10) p = 0.060 | 21 (33) | 17.70 (5.10-61.49) p < 0.001 | 4.91 (1.33-18.12) p = 0.010 | 51 (81) | 4.94 (2.33-10.44) p < 0.001 | 3.63 (1.67-7.89) p < 0.001 | |
| No | 37 (26) | 4 (3) | 68 (46) | |||||||
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| Yes | 62 (35) | 1.05 (0.47-2.41) p = 0.900 | - | 2.09 (0.46-9.44) p = 0.300 | - | 105 (59) | 1.72 (0.80-3.73) p = 0.200 | 1.33 (0.59-3.01) p = 0.500 | ||
| No | 10 (33) | 23 (13) | 14 (45) | |||||||