| Literature DB >> 35114845 |
Zemene Demelash Kifle1, Dawit Kumilachew Yimenu2, Chilot Abiyu Demeke2, Asmamaw Emagn Kasahun2, Ebrahim Abdela Siraj3, Adane Yehualaw Wendalem4, Zegaye Agmassie Bazezew5, Abebe Basazn Mekuria1.
Abstract
BACKGROUND: Morbidity and mortality related to acute poisoning is a major public health issue in both developing and developed countries. Community pharmacists have a crucial role in ensuring drug availability, increasing drug safety, counseling patients, overdose risk reduction and management, and provision of appropriate drug information. This study aimed to assess the availability of necessary antidotes in community pharmacies in Gondar and Bahir-Dar cities, Ethiopia, and the role of community pharmacists in the management of acute poisoning.Entities:
Keywords: antidote; availability; community pharmacy; pharmacists; poisoning
Mesh:
Substances:
Year: 2022 PMID: 35114845 PMCID: PMC8819777 DOI: 10.1177/00469580211062449
Source DB: PubMed Journal: Inquiry ISSN: 0046-9580 Impact factor: 1.730
Figure 1.Workflow.
Figure 2.Conceptual framework. *Financial problems, transportation problem, complexity of the purchasing system.
Socio-demographic characteristics of the study participants.
| Characteristics | Frequency | Percentage (%) |
|---|---|---|
| Sex | ||
| Male | 45 | 56.3 |
| Female | 35 | 43.8 |
| Age | ||
| <25 | 16 | 20.0 |
| 26–35 | 40 | 50.0 |
| 36–45 | 17 | 21.3 |
| >45 | 7 | 8.8 |
| Educational level | ||
| Diploma | 35 | 43.8 |
| Degree | 42 | 52.5 |
| Masters | 3 | 3.8 |
| Years of experience | ||
| <2 years | 13 | 16.3 |
| 3–5 years | 23 | 28.7 |
| 6–10 years | 22 | 27.5 |
| >10 years | 22 | 27.5 |
| City of residence | ||
| Gondar | 44 | 55.0 |
| Bahir-Dar | 36 | 45.0 |
| Type of facility | ||
| Drug store | 28 | 35.0 |
| Pharmacy | 52 | 65.0 |
Availability of essential antidotes at community pharmacies.
| Antidote’s Name | Availability of Antidotes | ||||||
|---|---|---|---|---|---|---|---|
| Total Respondents (n = 80) | Gondar (n = 44) | Bahir-Dar (n = 36) | |||||
| Yes n (%) | No n (%) | Yes n (%) | No n (%) | Yes n (%) | No n (%) | ||
| Activated charcoal | 2 (2.5) | 78 (97.5) | 1 (2.3) | 43 (97.7) | 1 (2.8) | 35 (97.2) | .701 |
| Sodium polystyrene | 0 (.0) | 80 (100.0) | 0 (.0) | 44 (100.0) | 0 (.0) | 36 (100.0) | |
| Sodium bicarbonate | 0 (.0) | 80 (100.0) | 0 (.0) | 44 (100.0) | 0 (.0) | 36 (100.0) | |
| Folinic acid | 14 (17.5) | 66 (82.5) | 3 (6.8) | 41 (93.2) | 11 (30.6) | 25 (69.4) | .005 |
| Acetyl cysteine | 0 (.0) | 80 (100.0) | 0 (.0) | 44 (100.0) | 0 (.0) | 36 (100.0) | |
| Disulfiram | 0 (.0) | 80 (100.0) | 0 (.0) | 44 (100.0) | 0 (.0) | 36 (100.0) | |
| Ipecacuanha | 0 (.0) | 80 (100.0) | 0 (.0) | 44 (100.0) | 0 (.0) | 36 (100.0) | |
| Atropine | 30 (37.5) | 50 (62.5) | 11 (25.0) | 33 (75.0) | 19 (52.8) | 17 (47.2) | .011 |
| Citric acid | 0 (.0) | 80 (100.0) | 0 (.0) | 44 (100.0) | 0 (.0) | 36 (100.0) | |
| Sodium thiosulphate | 0 (.0) | 80 (100.0) | 0 (.0) | 44 (100.0) | 0 (.0) | 36 (100.0) | |
| Sodium nitrite | 0 (.0) | 80 (100.0) | 0 (.0) | 44 (100.0) | 0 (.0) | 36 (100.0) | |
| Naloxone | 3 (3.8) | 77 (96.3) | 0 (.0) | 44 (100.0) | 3 (8.3) | 33 (91.7) | .087 |
| Dicobalt edetate | 0 (.0) | 80 (100.0) | 0 (.0) | 44 (100.0) | 0 (.0) | 36 (100.0) | |
| Flumazenil | 0 (.0) | 80 (100.0) | 0 (.0) | 44 (100.0) | 0 (.0) | 36 (100.0) | |
| Methylene blue | 0 (.0) | 80 (100.0) | 0 (.0) | 44 (100.0) | 0 (.0) | 36 (100.0) | |
| Deferoxamine | 0 (.0) | 80 (100.0) | 0 (.0) | 44 (100.0) | 0 (.0) | 36 (100.0) | |
| Dimercaprol | 0 (.0) | 80 (100.0) | 0 (.0) | 44 (100.0) | 0 (.0) | 36 (100.0) | |
| Mesnaobidoxime | 0 (.0) | 80 (100.0) | 0 (.0) | 44 (100.0) | 0 (.0) | 36 (100.0) | |
| Methionine | 0 (.0) | 80 (100.0) | 0 (.0) | 44 (100) | 0 (.0) | 36 (100.0) | .550 |
Figure 3.Common reasons for the unavailability of essential antidotes at community pharmacies.
Factors associated with pharmacists’ ability to identify poisoning materials ingested by a patient.
| Variable | Ability to Identify the Poisoning Material/Toxicity | ||
|---|---|---|---|
| Yes (%) | No (%) | ||
| The educational level of respondent | |||
| Diploma | 6 (17.1) | 29 (82.9) | .061 |
| Degree | 15 (35.7) | 27 (64.3) | |
| Masters | 2 (66.6) | 1 (33.4) | |
| Years of work experience | |||
| <2 years | 1 (7.7) | 12 (92.3) | .312 |
| 3–5 years | 7 (30.4) | 16 (69.6) | |
| 6–10 years | 8 (36.3) | 14 (63.7) | |
| >10 years | 7 (31.8) | 15 (68.2) | |
| Previous education/training on toxicology/poisoning management | |||
| Yes | 21 (40.4) | 31 (59.6) |
|
| No | 2 (7.1) | 26 (92.9) | |
| Residency (city) | |||
| Bahir-Dar | 11 (30.6) | 25 (69.4) | .747 |
| Gondar | 12 (27.3) | 32 (72.7) | |
Pharmacists’ response to the antidotes for common poisonings/toxicities.
| Type of Poisoning Agents | Pharmacist Response | |
|---|---|---|
| Correctly Identified n (%) | Not Correctly Identified n (%) | |
| Opioids | 26 (32.5) | 53 (66.3) |
| Alcohol | 2 (2.5) | 78 (97.5) |
| Benzodiazepines | 17 (21.3) | 62 (77.5) |
| Digoxin | 6 (7.5) | 73 (91.3) |
| Acetaminophen | 16 (20.0) | 63 (78.8) |
| Iron toxicity | 14 (17.5) | 66 (82.5) |
| Oral anti-coagulant | 11 (13.8) | 68 (85.0) |
| Heparin | 14 (17.5) | 65 (81.3) |
Roles of community pharmacists in the prevention/management of acute poisoning.
| Questions | Frequency (N = 80) | |
|---|---|---|
| Yes n (%) | No n (%) | |
| Have you taken a course during your studies about types of poisons and their management? | 52 (65.0) | 28 (35.0) |
| Do you always counsel your patients with the correct dosage regimen of the medications you dispense? | 80 (100.0) | 0 (.0) |
| Do you always counsel your patients to put medications out of reach of children? | 47 (58.8) | 33 (41.3) |
| If a poisoned person presented to your pharmacy unconscious, can you tell the type of material he/she may have ingested via examination of the signs and symptoms and/or any other physical diagnosis? | 23 (28.7) | 57 (71.3) |
| Did you have an experience/history of a poisoned patient presented to your pharmacy? | 7 (8.8) | 73 (91.3) |
Figure 4.Common poisoning materials for the poisoning cases experienced at community pharmacies in Gondar and Bahir-Dar (N = 7).
Figure 5.First measure taken by community pharmacists if a poisoned person presented to them (N = 80).