| Literature DB >> 36050942 |
Samar Karout1, Hani M J Khojah2, Lina Karout3, Rania Itani1.
Abstract
Objectives: Dispensing errors (DEs) are common causes of preventable harm to patients. Interestingly, very little is known about their prevalence and types in the community pharmacy setting in Lebanon due to the lack of an effective reporting system. Therefore, this study aims to explore the perceptions of community pharmacists about the types of these errors in Lebanon, the factors behind their occurrence, the reasons for underreporting, and the current practices for reducing them.Entities:
Keywords: Community pharmacy; Dispensing errors; Lebanon; Medication errors; Patient safety
Year: 2022 PMID: 36050942 PMCID: PMC9396061 DOI: 10.1016/j.jtumed.2021.12.011
Source DB: PubMed Journal: J Taibah Univ Med Sci ISSN: 1658-3612
Figure 1Study Design Flowchart.
Pharmacy information (n = 171).
| Information | n (%) |
|---|---|
| Geographic location | |
| 54 (31.6) | |
| 38 (22.2) | |
| 58 (33.9) | |
| 15 (8.80) | |
| 6 (3.50) | |
| Pharmacy design | |
| 157 (91.8) | |
| 14 (8.20) | |
Pharmacist information (n = 171).
| Information | n (%) or mean ± SD |
|---|---|
| Age group | |
| 149 (87.1) | |
| ≥ | 22 (12.9) |
| Education level | |
| 114 (66.7) | |
| 57 (33.3) | |
| Work experience in community pharmacy | |
| 95 (55.6) | |
| 53 (31.0) | |
| 14 (8.2) | |
| 4 (2.3) | |
| ≥ | 5 (2.9) |
| Position in the pharmacy | |
| 63 (36.8) | |
| 108 (63.2) | |
| Working hours per day | 4.55 ± 1.84 |
| 54 (31.6) | |
| ≥ | 117 (68.4) |
| Average prescriptions per day | |
| 61 (35.7) | |
| 77 (45.0) | |
| 33 (19.3) | |
| Pharmacist's perception that DEs are common | |
| 116 (67.8) | |
| 55 (32.2) | |
| Pharmacist's perception that the rate of DEs is increasing | |
| 88 (51.5) | |
| 83 (48.5) | |
, dispensing errors; , standard deviation.
Factors believed to increase dispensing errors.
| Factors | Mean ± SD |
|---|---|
| Workload | 2.67 ± 1.03 |
| Multi-tasking of pharmacists | 2.64 ± 1.14 |
| Extended working hours (>8 h/day) | 2.19 ± 1.19 |
| Inadequate staff | 2.35 ± 1.26 |
| Being the sole pharmacist | 2.39 ± 1.23 |
| Low income | 1.84 ± 1.36 |
| Pharmacy technicians involved in dispensing | 2.18 ± 1.32 |
| Fatigue | 2.50 ± 1.06 |
| Lack of time for patient counselling | 2.21 ± 1.19 |
| Interruption by others | 2.54 ± 1.18 |
| Noise | 1.63 ± 1.24 |
| Inadequate pharmacy space | 2.05 ± 1.21 |
| Insufficient pharmacy lighting | 1.17 ± 1.22 |
| Disorganised medications on shelves | 1.39 ± 1.26 |
| Insufficient drug information resources | 1.72 ± 1.37 |
| Incomplete prescriptions | 2.90 ± 1.07 |
| Unreadable prescriptions | 3.02 ± 1.09 |
| Similarity of medication names | 2.54 ± 1.10 |
| Similar medication labels and packages | 2.21 ± 1.22 |
Mean ± standard deviation (SD) of the scores of the used scale, where 0 = no effect, 1 = little effect, 2 = moderate effect, 3 = strong effect, and 4 = very strong effect.
Strategies perceived to reduce the risk of dispensing errors.
| Strategies | Mean ± SD |
|---|---|
| Collaboration with physicians | 3.35 ± 0.87 |
| Enforcing prescription double-checking before dispensing | 3.25 ± 0.88 |
| Improving prescription handwriting | 3.30 ± 0.95 |
| Establishing non-punitive measures to encourage pharmacists to report errors | 3.04 ± 0.90 |
| Enforcing patient counselling at dispensing | 3.09 ± 0.84 |
| Assigning a private area for counselling | 2.88 ± 0.92 |
| Having more than one pharmacist per shift | 2.91 ± 0.99 |
| Issuance of national guidelines and strategies to limit dispensing errors | 3.04 ± 1.05 |
| Assigning specific tasks to each pharmacy staff | 2.85 ± 1.10 |
| Using electronic prescriptions | 3.03 ± 1.15 |
| Improving medication labelling and packaging | 2.84 ± 1.13 |
| Having regular resting and meal breaks | 2.67 ± 1.10 |
| Getting paid for clinical services | 2.50 ± 1.24 |
Mean ± standard deviation (SD) of the scores of the used scale, where 0 = no effect, 1 = little effect, 2 = moderate effect, 3 = strong effect, and 4 = very strong effect.
Pharmacists’ perceptions about the most common types of dispensing errors.
| Dispensing errors | Mean ± SD |
|---|---|
| Dispensing wrong medications | 1.63 ± 1.27 |
| Dispensing wrong doses | 1.67 ± 1.15 |
| Dispensing wrong dosage forms | 1.51 ± 1.11 |
| Giving incomplete instructions | 1.93 ± 1.16 |
| Dispensing medications that are known to have major drug–drug interactions | 1.25 ± 1.02 |
| Dispensing contraindicated medications | 1.29 ± 1.07 |
Mean ± standard deviation (SD) of the scores of the used scale, where 0 = no effect, 1 = little effect, 2 = moderate effect, 3 = strong effect, and 4 = very strong effect.
Reasons for underreporting dispensing errors (n = 171).
| Reasons | n (%) |
|---|---|
| No obligations to report | 100 (58.5) |
| No system of reporting | 95 (55.6) |
| Fear of blame by patients | 72 (42.1) |
| No legal protection for pharmacists | 69 (40.4) |
| Fear of punishment (e.g. being fired) | 64 (37.4) |
| No time to report (heavy workload) | 63 (38.8) |
| Fear of blame by colleagues/employers | 62 (36.3) |
| Most current errors do not harm the patient | 46 (26.9) |
| No preventive actions will be taken by authorities after reporting | 41 (24.0) |
| No incentive to report | 37 (21.6) |
| There is no need to report | 34 (19.9) |
| Reporting procedures are expected to be complicated and lengthy | 26 (15.2) |
Significanta associationb between the pharmacists’ perceived factors that contribute to increased dispensing errors, and variables related to pharmacy and pharmacists.
| Factors | Age ≥36 years | Education level (postgraduate) | Position in the pharmacy (employee) | Geographic location |
|---|---|---|---|---|
| Workload | – | – | 0.029 | – |
| Multi-tasking of pharmacists | – | 0.014 | 0.007 | – |
| Being the sole pharmacist | – | – | – | 0.030 |
| Pharmacy technicians involved in dispensing | 0.012 | – | – | 0.010 |
| Lack of time for patient counselling | – | – | 0.008 | – |
| Interruption by others | 0.015 | – | – | 0.010 |
| Noise | – | – | – | 0.010 |
| Similarity of medication names | – | – | – | <0.001 |
Statistical significance at p < 0.05.
Pearson's Chi-square test and Mann–Whitney U test were used to assess the association.
Beirut.
South.
Significanta associationb between the pharmacists’ perceived strategies to reduce the risk of dispensing errors, and variables related to pharmacy and pharmacist.
| Strategies | Age between 23 and 35 years | Position in the pharmacy (employee) |
|---|---|---|
| Having more than one pharmacist per shift | – | 0.001 |
| Assigning specific tasks to each pharmacy staff | 0.003 | 0.003 |
| Having regular resting and meal breaks | 0.007 | 0.036 |
| Getting paid for clinical services | 0.013 | – |
Statistical significance at p < 0.05.
Pearson's Chi-square test and Mann–Whitney U test were used to assess the association.
Significanta associationb between the pharmacists’ perceptions about the most common types of dispensing errors, and variables related to pharmacy and pharmacists.
| Dispensing errors | Age ≥36 years old | Education level (Bachelor's) | Average prescriptions per day >50 |
|---|---|---|---|
| Dispensing wrong medications | – | – | 0.010 |
| Dispensing wrong doses | – | 0.023 | 0.010 |
| Dispensing wrong dosage forms | – | 0.033 | – |
| Giving incomplete instructions | – | 0.018 | – |
| Dispensing medications that are known to have major drug–drug interactions | – | – | 0.030 |
| Dispensing contraindicated medications | 0.008 | – | 0.010 |
Statistical significance at p < 0.05.
Pearson's Chi-square test and Mann–Whitney U test were used to assess the association.