| Literature DB >> 35600710 |
Anteneh Belayneh1, Eyasu Abatneh2, Dehinnet Abebe1, Melese Getachew1, Bekalu Kebede1, Bekalu Dessie1.
Abstract
Objective: Due to a lack of appropriate pediatric preparations, health providers frequently use adult formulations in an off-label manner. This study aimed to assess pediatric off-label medication use patterns and associated factors in East Gojjam, Ethiopia.Entities:
Keywords: Ethiopia; Off-label use; associated factors; pediatric medication
Year: 2022 PMID: 35600710 PMCID: PMC9118902 DOI: 10.1177/20503121221096534
Source DB: PubMed Journal: SAGE Open Med ISSN: 2050-3121
Distribution of health professionals who participated in the study (N = 285).
| Profession | Qualification | Sex | Total | % | |||||
|---|---|---|---|---|---|---|---|---|---|
| Diploma | Degree | Master | Specialist | Subspecialist | Male | Female | |||
| Pediatricians | – | – | – | 4 | – | 4 | – | 4 | 1.4 |
| General Practitioners | – | 21 | – | – | – | 17 | 4 | 21 | 7.4 |
| Nurses | 42 | 98 | 11 | – | – | 55 | 96 | 151 | 53.0 |
| Midwives | 7 | 31 | 5 | – | – | 34 | 9 | 43 | 15.1 |
| Pharmacy Professionals | 39 | 25 | 2 | – | – | 47 | 19 | 66 | 23.2 |
| Total | 285 | 100 | |||||||
Perceived barriers to using off-label medications in pediatrics (N = 285).
| Perceived barriers | Yes | No | ||
|---|---|---|---|---|
| Frequency | % | Frequency | % | |
| Access to information about the risk/benefit of off-label pediatric off-label drug use in hospitals | 86 | 30.18 | 199 | 69.82 |
| Availability of guidelines for off-label/unlicensed drug use in hospitals | 0 | 0.00 | 285 | 100.00 |
| Access to updated drug formulary in hospitals | 64 | 22.45 | 221 | 77.55 |
| Availability of functional Drug information center in hospitals | 246 | 86.30 | 39 | 13.70 |
| Availability of pediatric medications in hospitals | 49 | 17.20 | 236 | 82.80 |
| Availability of suitable pediatric dosage forms for prescribed medications in hospitals | 67 | 23.50 | 218 | 76.50 |
| Have you taken training related to pediatric off-label medication prevalence? | 23 | 8.00 | 262 | 92.00 |
Figure 1.Off-label prescription prevalence (N = 1800).
Prescribed pediatric off-label drugs (N = 496).
| Drug name | Frequency | % |
|---|---|---|
| Cephalexin | 25 | 5.0 |
| Zinc | 23 | 4.6 |
| Cloxacillin | 62 | 12.5 |
| Paracetamol | 27 | 5.4 |
| Amoxicillin | 66 | 13.3 |
| Albendazole | 16 | 3.2 |
| Benzathine Pen | 6 | 1.2 |
| Furosemide | 22 | 4.4 |
| Ceftriaxone | 17 | 3.4 |
| Metronidazole | 5 | 1.0 |
| Hydrocortisone | 1 | 0.2 |
| Salbutamol | 1 | 0.2 |
| Tramadol | 1 | 0.2 |
| Azithromycin | 3 | 0.6 |
| Prednisolone | 9 | 1.8 |
| Phenobarbitone | 80 | 16.1 |
| Bisacodyl | 1 | 0.2 |
| Sulfur | 1 | 0.2 |
| Spironolactone | 2 | 0.4 |
| Tinidazole | 1 | 0.2 |
| Gentamicin | 7 | 1.4 |
| Crystalline Penicillin | 3 | 0.6 |
| Erythromycin | 2 | 0.4 |
| Ciprofloxacin | 1 | 0.2 |
| Diclofenac | 1 | 0.2 |
| Mebendazole | 3 | 0.6 |
| Augmentin | 2 | 0.4 |
| Phenytoin | 76 | 15.2 |
| Spironolactone | 12 | 2.4 |
| KCl | 1 | 0.2 |
| Risperidone | 2 | 0.4 |
| Sodium valproate | 4 | 0.8 |
| Pyridoxine | 1 | 0.2 |
| Propranolol | 1 | 0.2 |
| Cotrimoxazole | 2 | 0.4 |
| Mebendazole | 3 | 0.6 |
| Enalapril | 2 | 0.4 |
| Chlorpheniramine | 1 | 0.2 |
| Digoxin | 1 | 0.2 |
| ASA | 1 | 0.2 |
| Carbamazepine | 1 | 0.2 |
| Total | 496 | 100.0 |
Figure 2.Ways of pediatric off-label medication use.
NB: C = Prescriptions that contain only under dose medication.
D = Prescriptions which contain medications with an improper route of administration.
E = Prescriptions which contain medications with improper Frequency.
F = Prescriptions which contain medications with improper Duration.
G = Prescriptions which contain medications with Contraindication.
H = Prescriptions which contain medications with Cutting adult tablet.
I = Prescriptions which contain medications by Formulating adult tablets in solution/ suspension.
J = Prescriptions which contain medications with overdose, cutting adult tablet and formulating suspension from tablet.
K = Prescriptions which contain medications both with Overdose and cutting tablet.
L = Prescriptions contain medications with Overdose, improper route of administration, cutting and formulating suspension.
M = Prescriptions which contain medications with Overdose and making adult tablet as solution or suspension.
Figure 3.Pediatrics age group classifications who exposed to off-label medications.
Bivariable and multivariable logistic regression analyses to identify factors associated with pediatric off-label medication prevalence.
| Variables | Bivariable analysis | Multivariable analysis | |||
|---|---|---|---|---|---|
| COR (95% CI) | p-value | AOR (95% CI) | p-value | ||
| Sex of professionals | Male | 0.665 (0.231–1.920) | 0.451 | – | – |
| Female | 1 | 1 | |||
| Training | No training | 2.412 (0.631–9.217) | 0.198 | – | – |
| Get training | 1 | 1 | |||
| Information access about Off-label medication | Lack of information | 0.090 (0.06–0.128) | < 0.001 | 11.968 (5.648–25.368) | < 0.001 |
| Have information access | 1 | 1 | |||
| Guideline availability | Lack of guideline | 1.487 (0.567–6.013) | 0.308 | – | – |
| Have guideline | 1 | 1 | |||
| Formulary Availability | Lack of formulary | 1.624 (0.600–4.392) | 0.340 | – | – |
| Have Formulary | 1 | 1 | |||
| Drug information center (DIC) availability | No functional DIC | 0.704 (0.219–2.266) | 0.556 | – | – |
| Have functional DIC | 1 | 1 | |||
| Pediatric drug availability | Shortage of pediatric drugs | 0.083 (0.057–0.121) | 0.001 | 4.683 (2.113–10.379) | < 0.001 |
| Have sufficient pediatric drugs | 1 | 1 | |||
| Pediatric dosage form availability | Shortage of pediatric dosage form | 0.094 (0.065–0.136) | 0.000 | 46.725 (31.483–69.347) | < 0.001 |
| Have sufficient pediatric dosage forms | 1 | 1 | |||
AOR: adjusted odds ratio; CI: confidence interval; COR: crude odds ratio.