| Literature DB >> 34268043 |
Dlal Almazrou1, Oluwaseun Egunsola2, Sheraz Ali3, Amal Bagalb1.
Abstract
BACKGROUND: Due to the need for early and effective medications for coronavirus disease (COVID-19), less attention may have been paid to medication safety during this pandemic.Entities:
Keywords: adrs; adverse drug reactions; covid; medication errors; safety
Year: 2021 PMID: 34268043 PMCID: PMC8264970 DOI: 10.7759/cureus.15513
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Study demographics and characteristics in COVID-19 patients
| Variables | Statistics |
| Age (years); mean ±SD | 46.9 ±18.7 |
| Age groups; n (n%) | |
| ≤15 years | 27 (7.9) |
| >15 years | 316 (92.1) |
| Gender; n (n%) | |
| Male | 246 (71.7) |
| Female | 97 (28.3) |
| High Alert Medication; n (n%) | 62 (18.1) |
| Look Alike Sound Alike Medication; n (n%) | 42 (12.2) |
| Error Made by; n (n%) | |
| Physicians | 300 (87.5) |
| Pharmacists | 25 (7.3) |
| Pharmacy Technician | 13 (3.8) |
| Nurses | 5 (1.5) |
| Cause of Error | |
| Lack of staff education (competency validation, new or familiar drug/device, orientation process, feedback about errors). | 145 (42.3) |
| Drug information missing (outdates/absent references, inadequate computer screening uncontrolled drug formulary). | 91 (26.5) |
| Miscommunication of drug order (illegible, ambiguous, incomplete, misheard order, misunderstood order, and intimidation). | 64 (18.7) |
| Clinical information missing (age, weight, allergy, vitals, lab, pregnancy, ID#, location, diagnosis, renal/liver impairment). | 51 (14.9) |
| Environmental staffing or workflow problem (lighting, noise, clutter, interruption, staffing deficiency workload, employee safety). | 50 (14.6) |
| Lack of quality control or independent check system (equipment quality control checks, independent checks for high alert medications/High risk patient population drugs). | 35 (10.2) |
| Drug name, label, package problem (looks/sound-alike name, look alike packaging, unclear/no label, faulty drug identification). | 17 (5) |
| Patient education problem (lack of information, on-compliance, not encourage to ask question, not investigating patient's inquiries). | 12 (3.5) |
| Not supplied from Warehouses (unavailable medication) | 9 (2.6) |
| Drug storage or delivery problem (slow turnaround time, inaccurate delivery, doses missing or expired, multiple concentrations, placed in the wrong bin). | 6 (1.7) |
| Drug delivery device problem (poor device design, misprogramming, free flow, mixed up lines). | 3 (0.9) |
Types of medication error in COVID-19 patients (n=343)
| Medication Error | n (n%) |
| Improper dose (over, under or extra dose) | 101 (29.4) |
| Wrong Frequency | 84 (24.5) |
| Wrong Strength / Concentration | 40 (11.7) |
| Wrong Drug | 38 (11.1) |
| Omission Error | 14 (4.1) |
| Wrong Duration | 9 (2.6) |
| Wrong Route | 5 (1.5) |
| Monitoring error-drug-drug interaction | 3 (0.9) |
| Wrong Dosage Form | 3 (0.9) |
| Wrong Patient | 3 (0.9) |
| Monitoring error-drug-disease interaction | 2 (0.6) |
| Monitoring error-clinical intervention | 1 (0.3) |
| Wrong Rate of Infusion | 1 (0.3) |
| Other | 39 (11.4) |
Figure 1Most frequent drug category causing medication error (n=348)
Percentage of medication errors in COVID-19 patients classified by the degree of patient harm according to NCC MERP
aCategories B-D were classified as no harm; categories E-I were classified as preventable adverse drug events
NCC MERP = National Coordinating Council for Medication Error Reporting and Prevention
| Classification | NCC MERP category a | Definition | n | % |
| No error Error, no harm | A | Circumstances or events that have the capacity to cause error | 134 | 39.1 |
| B | An error occurred, but the error did not reach the patient (near miss) | 127 | 37 | |
| C | An error occurred that reached the patient but did not cause patient harm | 75 | 21.9 | |
| D | An error occurred that reached the patient and required monitoring to confirm that it resulted in no harm to the patient and/or required intervention to preclude harm | 7 | 2 | |
| Error, harm | E | An error occurred that may have contributed to or resulted in temporary harm to the patient and required intervention | 0 | 0.00 |
| F | An error occurred that may have contributed to or resulted in temporary harm to the patient and required initial or prolonged hospitalization | 0 | 0.00 | |
| G | An error occurred that may have contributed to or resulted in permanent patient harm | 0 | 0.00 | |
| H | An error occurred that required intervention necessary to sustain life | 0 | 0.00 | |
| Error, death | I | An error occurred that may have contributed to or resulted in the patient's death | 0 | 0.00 |
| Total | 343 | 100 | ||
Figure 2Most frequent drug category causing adverse drug reaction (n=416)
Figure 3Percentage of the types of serious adverse reactions in COVID-19 patients (n=163)