| Literature DB >> 36243738 |
Wudneh Simegn1, Berhanemeskel Weldegerima2, Mohammed Seid3, Ayal Zewdie3, Dawit Wondimsigegn2, Chilot Abyu4, Asmamaw Emagn Kasahun4, Abdulwase Mohammed Seid5, Gashaw Sisay5, Yigizie Yeshaw6.
Abstract
BACKGROUND: Medication errors have serious consequences for patients' morbidity and mortality. The involvement of pharmacy professionals in the prescribing and dispensing procedure allowed the detection of a range of drug-related problems in addition to identification by prescribers. They are often the first point of contact in the healthcare system in identifying prescribing errors and intervening in these errors by dealing with the prescribers and the patients.Entities:
Keywords: Community pharmacists; Ethiopia; Prescribing errors
Year: 2022 PMID: 36243738 PMCID: PMC9569042 DOI: 10.1186/s40545-022-00461-9
Source DB: PubMed Journal: J Pharm Policy Pract ISSN: 2052-3211
Socio-demographic characteristics of respondents (N 74)
| Characteristics | Frequency ( | Percent (%) |
|---|---|---|
| Gender | ||
| Male | 48 | 64.9 |
| Female | 26 | 35.1 |
| Age (years) | ||
| 20–30 | 50 | 67.6 |
| 31–40 | 17 | 23 |
| 41–50 | 4 | 5.4 |
| > 50 | 3 | 4 |
| Marital status | ||
| Single | 38 | 51.4 |
| Married | 36 | 48.6 |
| Educational status | ||
| Druggist | 25 | 33.8 |
| Pharmacist | 49 | 66.2 |
| Site of work | ||
| Public community pharmacy | 27 | 36.5 |
| Private community pharmacy | 43 | 58.1 |
| Red cross community pharmacy | 4 | 5.4 |
| Work experience (years) | ||
| 1–5 | 35 | 47.3 |
| > 5 | 39 | 52.7 |
| Number of customers visit/day | ||
| < 50 | 30 | 40.5 |
| 51–100 | 17 | 23 |
| 101–200 | 16 | 21.6 |
| > 200 | 11 | 14.9 |
Frequency distribution of prescribing errors encountered in the study (N = 74)
| Variables | Responses | |
|---|---|---|
| Types of prescribing problems | Yes | No |
| Errors of omission | 58 (78.4) | 16 (21.6) |
| Incomplete or unavailable form/strength | 53 (71.6) | 21 (28.4) |
| Violates legal requirements | 40 (54.1) | 34 (45.9) |
| Quantity/duration not specified | 34 (45.9) | 40 (54.1) |
| Dose/regimen not specified | 31 (41.9) | 43 (58.1) |
| Illegible | 29 (39.2) | 45 (60.8) |
| Errors of commission | 59 (79.7) | 15 (20.3) |
| Incorrect regimen | 53 (71.6) | 21 (28.4) |
| Duplicate therapy | 40 (54.1) | 34 (45.9) |
| Incorrect drug/indication | 39 (52.7) | 35 (47.3) |
| Incorrect form | 39 (52.7) | 35 (47.3) |
| Incorrect quantity/duration | 39 (52.7) | 35 (47.3) |
| Incorrect patient | 22 (29.7) | 52 (70.3) |
| Drug selection | 61 (82.4) | 13 (17.6) |
| Is the prescriber use inappropriate drug? | 48 (64.9) | 26 (35.1) |
| More cost-effective drug available? | 40 (54.1) | 34 (45.9) |
| Is the indication of the drug mentioned? | 39 (52.7) | 35 (47.3) |
| Inappropriate drug form? | 39 (52.7) | 35 (47.3) |
| Synergistic/preventive drug required and not given? | 37 (50.0) | 37 (50.0) |
| Is there Inappropriate combination of drugs? | 34 (45.9) | 40 (54.1) |
| Inappropriate duplication of therapeutic group or active ingredient? | 28 (37.8) | 46 (62.2) |
| No alternative? | 17 (23.0) | 57 (77.0) |
| Dose selection and treatment duration | 56 (75.7) | 18 (24.3) |
| Dosage regimens not frequent enough? | 41 (55.4) | 33 (44.6) |
| Deterioration/improvement of disease state requiring dose adjustment? | 40 (54.1) | 34 (45.9) |
| Duration of treatment too short? | 38 (51.4) | 36 (48.6) |
| Drug dose too low? | 37 (50.0) | 37 (50.0) |
| Drug dose too high? | 36 (48.6) | 38 (51.4) |
| Dosage regimen too frequent? | 32 (43.2) | 42 (56.8) |
| Duration of treatment too long? | 29 (39.2) | 45 (60.8) |
| Drug interaction | 44 (59.5) | 30 (40.5) |
| Drug–drug interaction | 43 (58.1) | 31 (41.9) |
| Hypersensitivity reaction | 21 (28.4) | 53 (71.6) |
Patient and prescriber characteristics (N = 74)
| Variables | Responses | |
|---|---|---|
| Frequency | Percent (%) | |
| Patient gender encountering prescribing errors | ||
| Both | 66 | (89.2) |
| Male | 4 | (5.4) |
| Female | 4 | (5.4) |
Fig. 1Common classes of drugs involved as problematic prescription orders (N = 74)