| Literature DB >> 32070374 |
Pakoyo Fadhiru Kamba1, John Mulangwa2, Bruhan Kaggwa2, Freddy Eric Kitutu2, Nelson Kaulukusi Sewankambo3, Elly Tebasoboke Katabira3, Pauline Byakika-Kibwika3, Richard Odoi Adome2, Robert Cyril Bollinger4.
Abstract
BACKGROUND: Controlled prescription drug use disorders are a growing global health challenge in Sub-Saharan Africa. Effective supply chain regulations on dispensing and stock control are important for controlling this epidemic. Since compliance with these regulations in resource-limited countries is poor, there is need to understand its predictors in order to reduce the risk of prescription drug use disorders.Entities:
Keywords: Compliance predictors; Controlled drug regulations; Controlled prescription drugs; Dispensing practices; Opioids; Stock control practices
Mesh:
Substances:
Year: 2020 PMID: 32070374 PMCID: PMC7027211 DOI: 10.1186/s13011-020-00261-x
Source DB: PubMed Journal: Subst Abuse Treat Prev Policy ISSN: 1747-597X
Characteristics of the pharmacies and dispensers who participated in the questionnaire survey
| Characteristic | Category | Frequency n (%) |
|---|---|---|
| Type of pharmacy | Retail | 60 (59.4) |
| Wholesale (distributor) | 22 (21.8) | |
| Dual (wholesale/retail) | 19 (18.8) | |
| Number of years pharmacy has been in operation | ≤ 1 year | 7 (7.0) |
| 2–3 years | 24 (24.0) | |
| 4–5 years | 14 (14.0) | |
| > 5 years | 55 (55.0) | |
| Sex of dispenser | Male | 45 (44.6) |
| Female | 56 (55.4) | |
| Religious background of dispenser | Christian | 82 (81.2) |
| Muslim | 18 (17.8) | |
| Hindu | 1 (1.0) | |
| Marital status of dispenser | Single | 64 (63.4) |
| Married | 37 (36.6) | |
| Dispenser’s qualifications | Pharmacist or intern pharmacist | 8 (7.9) |
| Pharmacy technician | 17 (16.8) | |
| Nurse or midwife | 67 (66.3) | |
| Other1 | 9 (8.9) | |
| Dispenser’s highest education level | Secondary school | 2 (2.0) |
| Post-secondary school certificate | 44 (44.9) | |
| Diploma (associate degree) | 40 (40.8) | |
| Degree (Bachelors, Masters or doctorate) | 12 (12.2) | |
| Dispenser’s working experience at current work station | ≤ 1 year | 48.5 |
| 2–3 years | 27.7 | |
| 4–5 years | 13.8 | |
| > 5 years | 10 | |
| Dispenser’s working experience since first qualification | ≤ 1 year | 16 (16.7) |
| 2–3 years | 33 (34.4) | |
| 4–5 years | 18 (18.8) | |
| > 5 years | 29 (30.2) | |
| Pharmacist is present in the pharmacy premises on the day of data collection | Yes | 32 (32.0) |
| No | 69 (68.0) |
1Others include one Bachelor of Commerce graduate, one nursing assistant and 7 clinical officers (physician assistants)
Prevalence of pharmacies that is compliant with the prescription requirement in dispensing of seven commonly used CPDs. The complement of each proportion gives the prevalence of pharmacies that are non-compliant
| Dispensing practice | Sample size, N1 | Frequency n (%) |
|---|---|---|
| Pharmacy only sells pethidine injection on a prescription | 28 | 22 (78.6) |
| Pharmacy only sells phenobarbital tablets on a prescription | 73 | 50 (68.5) |
| Pharmacy only sells diazepam tablets on a prescription | 83 | 49 (59.0) |
| Pharmacy only sells ketamine injection on a prescription | 33 | 29 (87.9) |
| Pharmacy only sells propofol injection on a prescription | 11 | 9 (81.8) |
| Pharmacy only sells codeine tablets on a prescription | 54 | 32 (59.3) |
| Pharmacy only sells tramadol injection on a prescription | 92 | 59 (64.1) |
1Only pharmacies which had a particular drug were analyzed for compliance
Prevalence of pharmacies that is compliant with the prescription requirement in dispensing of pethidine from self-reports versus simulated clients. The complement of each proportion gives the prevalence of pharmacies that are non-compliant
| Source of data on pethidine dispensing practice | Sample size, N1 | Frequency n (%) |
|---|---|---|
| Self-reported dispensing with no prescription | 28 | 22 (78.6) |
| Dispensing to simulated client with no prescription | 27 | 22 (81.5) |
| Dispensing to simulated client with ineligible prescription | 27 | 17 (63.0) |
| Wholesale supply to simulated client with ineligible bulk purchase order | 9 | 5 (55.6) |
1Only the pharmacies that self-reported possession of pethidine stocks in the questionnaire survey were subjected to simulated client investigation
Prevalence of pharmacies that is compliant with CPD stock control requirements. The complement of each proportion gives the prevalence of pharmacies that are non-compliant
| Stock control requirement | Sample size, N | Frequency n (%) |
|---|---|---|
| Pharmacy has controlled prescription drugs book to record sales1 | 100 | 49 (49) |
| Controlled prescription drugs book documents batch number of dispended drug2 | 99 | 38 (38.4) |
| Controlled prescription drugs book documents telephone contact of customer1 | 100 | 21 (21.0) |
| Pharmacy has dedicated file for archiving copies of opioid prescriptions1 | 100 | 30 (30.0) |
| Pharmacy has dedicated file for archiving copies of psychotropic drug prescriptions | 101 | 15 (14.9) |
| Pharmacy has dedicated file for archiving copies of authorized purchase orders of opioids1 | 100 | 40 (40.0) |
| Pharmacy has dedicated file for archiving copies of authorized purchase orders of psychotropic drugs1 | 100 | 20 (20.0) |
| Pharmacy has standard operating procedure for secure storage of prescription drugs2 | 99 | 40 (40.4) |
| Pharmacy has standard operating procedure for dispensing of prescription drugs1 | 100 | 39 (39.0) |
| Standard operating procedure for dispensing of prescription drugs is adhered to3 | 39 | 32 (82.1) |
| Pharmacy has stock card for pethidine injection3 | 28 | 13 (46.4) |
| Number of ampoules of pethidine injection in the stock card is equal to the physical count3 | 13 | 13 (100) |
| Pharmacy has stock card for methamphetamine tablets3 | 3 | 2 (66.7) |
| Number of methamphetamine tablets in the stock card is equal to the physical count3 | 2 | 2 (100) |
| Pharmacy has stock card for tramadol injection3 | 92 | 36 (39.1) |
| Stock of tramadol injection in the stock card is equal to the physical count3 | 36 | 34 (94.4) |
| Pharmacy has stock card for codeine tablets3 | 57 | 17 (29.8) |
| Stock of codeine tablets (unit packs) in the stock card is equal to the physical count3 | 17 | 16 (94.1) |
| Pharmacy has stock card for Fentanyl tablets3 | 4 | 4 (100) |
| Stock of Fentanyl tablets (unit packs) in the stock card is equal to the physical count3 | 4 | 3 (75.0) |
1One questionnaire had missing data on this question. 2Two questionnaires had missing data on this question. 3These questions only applied to pharmacies that stocked a particular drug as established by this survey. Details are in Additional file 2
Predictors of compliance with the prescription requirement in dispensing of CPDs. Only regulatory factors remained in the model after controlling for confounding
| Factor | Category | Frequency (n) | χ2 | Crude OR (95% CI) | p-value | Adjusted OR (95% CI) | p-value | |
|---|---|---|---|---|---|---|---|---|
| High compliance | Low compliance | |||||||
| MRA asked for returns of narcotic drug transactions2 | Yes | 24 | 14 | 0.19 | 1.21 (0.53–2.76) | 0.659 | 2.45 (0.85–7.13) | 0.095 |
| No | 37 | 26 | ||||||
| MRA has ever audited narcotic drugs in pharmacy2 | Yes | 19 | 20 | 3.62 | 0.45 (0.20–1.03) | 0.057 | 0.44 (0.16–1.23) | 0.118 |
| No | 42 | 20 | ||||||
| History of suboptimal compliance in storage of narcotics in previous MRA inspections2 | Yes | 24 | 20 | 1.12 | 0.65 (0.29–1.45) | 0.291 | 2.24 (0.68–7.40) | 0.185 |
| No | 37 | 20 | ||||||
| History of suboptimal compliance in dispensing of narcotics in previous MRA inspections2 | Yes | 15 | 20 | 6.89 | 0.33 (0.14–0.76) | 0.009 | 0.21 (0.06–0.73) | 0.014 |
| No | 46 | 20 | ||||||
1Pharmacy professional comprises pharmacists and pharmacy technicians; non-pharmacy professional comprises nurses, nursing assistants, assorted health professionals such as clinical officers (physician assistants) and orthopaedic officers, and one accounting/finance professional. 2MRA, Medicines Regulatory Agency
Predictors of compliance with CPD stock control requirements. Only professional and regulatory factors remained in the model after controlling for confounding
| Factor | Category | Frequency (n) | χ2 | Crude OR (95% CI) | p-value | Adjusted OR (95% CI) | p-value | |
|---|---|---|---|---|---|---|---|---|
| High compliance | Low compliance | |||||||
| Pharmacist is present in pharmacy premises | Yes | 8 | 24 | 2.13 | 2.19 (0.75–6.33) | 0.144 | 5.17 (1.30–20.57) | 0.020 |
| No | 9 | 59 | ||||||
| MRA has ever invited us for a workshop on handling of narcotic drugs2 | Yes | 12 | 23 | 9.91 | 5.22 (1.75–15.54) | 0.002 | 3.51 (1.03–11.92) | 0.044 |
| No | 6 | 60 | ||||||
| MRA asked for returns of narcotic drug transactions2 | Yes | 13 | 25 | 11.17 | 6.03 (1.94–18.73) | 0.001 | 1.93 (0.59–6.333 | 0.278 |
| No | 5 | 58 | ||||||
| MRA has ever audited narcotic drugs in pharmacy2 | Yes | 12 | 27 | 7.27 | 4.15 (1.41–12.24) | 0.007 | 5.11 (1.43–18.30) | 0.012 |
| No | 6 | 56 | ||||||
1Pharmacy professional comprises pharmacists and pharmacy technicians; non-pharmacy professional comprises nurses, nursing assistants, assorted health professionals such as clinical officers (physician assistants) and orthopaedic officers, and one accounting/finance professional.2MRA, Medicines Regulatory Agency