Background
Methods
Study design
Study area
Population
Sample size
Sampling technique
Inclusion and exclusion criteria
Data collection form
Part a: demographics
Part B: HAMs administration knowledge
Part C: HAMs regulation knowledge
Part D: self-evaluation
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Obstacles nurses encounter when administering HAMs: 14 obstacles as multiple choice questions; participant can choose more than one option.
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Nurses’ knowledge level: consisting of five levels (sufficient, relatively sufficient, fair, insufficient and extremely insufficient).
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Training needs: these questions had three response options, ‘need’, ‘no need’ and ‘no comment’.
Ethical approval
Statistical analysis
Results
Demographic characteristics
Variable | Frequency (%) N = 280 |
---|---|
Gender | |
Male | 153 (54.6) |
Female | 127 (45.4) |
Age (year) | |
≤25 | 37 (13.2) |
> 25–30 | 121(43.2) |
> 30–35 | 64 (22.9) |
> 35 | 58 (20.7) |
District | |
Hebron | 44 (15.7) |
Bethlehem | 38 (13.6) |
Ramallah | 58 (20.7) |
Nablus | 74 (26.4) |
Tulkarm | 26 (9.3) |
Jenin | 40 (14.3) |
Education | |
Diploma | 96 (34.3) |
Bachelor | 161 (57.5) |
Master | 23 (8.2) |
Position | |
Qualified Nursea | 96 (34.3) |
Legal Nurseb | 170 (60.7) |
Head Nurse | 14 (5.0) |
Wards | |
ICU | 71(25.4) |
ER | 62 (22.1) |
Pediatrics | 75 (26.8) |
Medical | 72 (25.7) |
Ward experience (year) | |
< 2 | 95 (33.9) |
> 2–5 | 89 (31.8) |
> 5–10 | 62 (22.1) |
> 10 | 34 (12.1) |
Total experience (year) | |
< 2 | 25 (8.9) |
> 2–5 | 69 (24.6) |
> 5–10 | 106 (37.9) |
> 10 | 80 (28.6) |
ICU training | |
Yes | 200 (71.4) |
No | 80 (28.6) |
ER training | |
Yes | 234 (83.6) |
No | 46 (16.4) |
HAMs training | |
Yes | 252 (90.0) |
No | 28 (10.0) |
HAMs administration knowledge
Questionsa (section A) | Answers | Correct answer n (%) | Incorrect answer n (%) | Don’t know the answer n (%) | Rank |
---|---|---|---|---|---|
Fast IV push 1: 1000 epinephrine 1 ampule for patient who has mild allergic reaction | False | 178 (63.6) | 73 (26.1) | 29 (10.4) | 5 |
When an emergency happens, fast IV push 10% CaCl2 10 mL in 1–2 min | False | 170 (60.7) | 76 (27.1) | 34 (12.1) | 7 |
10% Ca gluconate and 10% CaCl2 are the same drug and interchangeable | False | 192 (68.6) | 37 (13.2) | 51 (18.2) | 3 |
‘cc’ or ‘mL’ is the dosage expression for insulin injection | False | 235 (83.9) | 25(8.9) | 20 (7.1) | 1 |
For chemotherapy dose calculation, while adult based on BW, children BSA | False | 130 (46.4) | 65 (23.2) | 85 (30.4) | 9 |
When an emergency such as ventricular fibrillation happens, push fast 15% KCl 10 mL into IV | False | 215 (76.8) | 25 (8.9) | 40 (14.3) | 2 |
15% KCl better added to Ringer’s solution for rapid infusion | False | 187 (66.8) | 51 (18.2) | 42 (15.0) | 4 |
Insulin syringe can be replaced by 1 mL syringe | False | 173 (61.8) | 90 (32.1) | 17 (6.1) | 6 |
Fast IV infusion of 3% NaCl 500 mL for patient who has low sodium level | False | 139 (49.6) | 99 (35.4) | 42 (15.0) | 8 |
Port-A route can be used for blood withdrawal and drug injection generally | False | 86 (30.7) | 128 (45.7) | 66 (23.6) | 10 |
Mean | 60.9 | 23.9 | 15.2 |
HAMs regulation knowledge
Questionsa (Section B) | Answers | Correct answer n (%) | Incorrect answer n (%) | Don’t know the answer n (%) | Rank |
---|---|---|---|---|---|
Use ‘Amp’ or ‘Vial’ for dose expression instead of ‘mg’ or ‘gm’ | False | 223 (79.6) | 51 (18.2) | 6 (2.1) | 2 |
Use distinctive labeling on look-alike drugs | True | 250 (89.3) | 19 (6.8) | 11 (3.9) | 1 |
Use ‘U’ instead of ‘unit’ for dose expression | False | 123 (43.9) | 148 (52.9) | 9 (3.2) | 10 |
For convenience, heparin and insulin should be stored together in the refrigerator | False | 182 (65) | 85 (30.4) | 13 (4.6) | 3 |
Each drug better have multiple concentrations for nurse to choose | False | 138 (49.3) | 122 (43.6) | 20 (7.1) | 6 |
If patient can tolerate, potassium can be administered orally instead of IV route | True | 128 (45.7) | 121 (43.2) | 31 (11.1) | 9 |
15% KCl is frequently used, so it should be easily and freely accessed by nurses | False | 173 (61.8) | 90 (32.1) | 17 (6.1) | 4 |
For pediatric dose, use teaspoon for dose expression | False | 130 (46.4) | 134 (47.9) | 16 (5.7) | 8 |
Taken fentanyl skin patch as regulated narcotic | True | 136 (48.6) | 68 (24.3) | 76 (27.1) | 7 |
If a ward stores Atracurium for tracheal intubation, the drug should be stored with other drugs and easily accessed by nurses | False | 166 (59.3) | 60 (21.4) | 54 (19.3) | 5 |
Mean | 58.9 | 32.1 | 9.0 |
Self-evaluation
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Encountered obstacles: each nurse chose an average of four to five obstacles, from the 14 obstacles listed. Inconsistent opinions between doctors and nurses was reported to be the most common obstacle encountered (106, 37.9%), while easy access to HAMs was the least encountered obstacle (33, 11.8%). See Table 4.
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Knowledge level: most respondents (106, 37.9%) considered that they had relatively sufficient knowledge. Only 2.1% of respondents evaluated their knowledge as extremely insufficient. See Table 5.
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Training needs: most of respondents (229, 81.8%) hoped to obtain additional training. See Table 5.
Obstacles |
N
| (%) |
---|---|---|
Inconsistent opinions between doctor and nurse | 106 | 37.9 |
No established standard operating procedures for high alert medication | 104 | 37.1 |
No reference for drug use | 98 | 35.0 |
Have to accept oral order | 75 | 26.8 |
Insufficient knowledge | 67 | 23.9 |
Confused prescription | 64 | 22.9 |
Unclear dose calculation | 64 | 22.9 |
Find no suitable person to consult | 60 | 21.4 |
Mix high-alert medications with other drugs | 60 | 21.4 |
No rigorous regulations for high-alert medications | 59 | 21.1 |
Receive uncertain answers from colleagues | 51 | 18.2 |
Inconsistent opinions between nurses | 42 | 15.0 |
Easy access to high-alert medications | 33 | 11.8 |
Other | 20 | 7.1 |
Knowledge level |
N
| (%) |
---|---|---|
(a) Sufficient | 66 | 23.6 |
(b) Relatively sufficient | 106 | 37.9 |
(c) Fair | 87 | 31.1 |
(d) Insufficient | 15 | 5.7 |
(e) Extremely insufficient | 6 | 2.1 |
Total | 280 | 100 |
Training need | ||
(a) Need | 229 | 81.8 |
(b) No comment | 33 | 11.8 |
(c) No need | 18 | 6.4 |
Total | 280 | 100 |
HAMs knowledge score
Variable | Frequency (%) N = 280 | Knowledge score Median [interquartile range] | Mean ± SD | P-value |
---|---|---|---|---|
Gender | ||||
Male | 153 (54.6) | 65.0[50.0–75.0] | 62.5 ± 15.0 | 0.001a |
Female | 127 (45.4) | 55.0[45.0–65.0] | 56.9 ± 14.8 | |
Age (year) | ||||
< 25 | 37 (13.2) | 60.0[45.0–67.0] | 57.0 ± 15.2 | |
> 25–30 | 121 (43.2) | 60.0[50.0–70.0] | 58.2 ± 14.5 | 0.07b |
> 30–35 | 64 (22.9) | 65.0[51.0–75.0] | 63.4 ± 15.5 | |
> 35 | 58 (20.7) | 65.0[50.0–75.0] | 61.5 ± 15.4 | |
District | ||||
Hebron | 44 (15.7) | 65.0[45.0–75.0] | 60.5 ± 16.5 | 0.085b |
Bethlehem | 38 (13.6) | 60.0[50.0–66.3] | 59.1 ± 14.0 | |
Ramallah | 58 (20.7) | 65.0[50.0–75.0] | 63.4 ± 16.1 | |
Nablus | 74 (26.4) | 62.5[45.0–70.0] | 60.3 ± 14.1 | |
Tulkarm | 26 (9.3) | 55.0[43.8–65.0] | 52.3 ± 15.2 | |
Jenin | 40 (14.3) | 60.0[50.0–70.0] | 59.4 ± 13.9 | |
Education | ||||
Diploma | 96 (34.3) | 55.0[45.0–65.0] | 55.3 ± 15.4 | 0.001b |
Bachelor | 161 (57.5) | 65.0[50.0–75.0] | 62.2 ± 14.5 | |
Master | 23 (8.2) | 65.0[50.0–75.0] | 63.7 ± 14.5 | |
Position | ||||
Qualified Nurse c | 96 (34.3) | 55.0[45.0–65.0] | 55.3 ± 15.4 | 0.001b |
Legal Nurse d | 170 (60.7) | 65.0[50.0–75.0] | 62.0 ± 14.5 | |
Head Nurse | 14 (5.0) | 67.5[53.8–80.0] | 66.8 ± 13.8 | |
Wards | ||||
ICU | 71 (25.4) | 70.0[55.0–75.0] | 65.4 ± 14.4 | 0.001b |
ER | 62 (22.1) | 60.0[45.0–70.0] | 58.1 ± 15.6 | |
Pediatrics | 75 (26.8) | 55.0[45.0–65.0] | 56.4 ± 15.1 | |
Medical | 72 (25.7) | 60.0[50.0–70.0] | 59.7 ± 14.2 | |
Ward experience (year) | ||||
< 2 | 95 (33.9) | 60.0[45.0–70.0] | 57.9 ± 15.3 | 0.178b |
> 2–5 | 89 (31.8) | 60.0[47.5–70.0] | 59.1 ± 15.0 | |
> 5–10 | 62 (22.1) | 65.0[50.0–75.0] | 62.9 ± 14.1 | |
> 10 | 34 (12.1) | 65.0[50.0–75.0] | 62.4 ± 16.1 | |
Total experience (year) | ||||
< 2 | 25 (8.9) | 55.0[42.5–72.5] | 54.8 ± 18.7 | 0.154b |
> 2–5 | 69 (24.6) | 60.0[45.0–65.0] | 57.8 ± 14.1 | |
> 5–10 | 106 (37.9) | 65.0[50.0–70.0] | 60.8 ± 14.6 | |
> 10 | 80 (28.6) | 65.0[50.0–75.0] | 62.3 ± 15.1 | |
ICU training | ||||
Yes | 200 (71.4) | 65.0[50.0–75.0] | 61.7 ± 15.0 | 0.002a |
No | 80 (28.6) | 55.0[45.0–65.0] | 55.5 ± 14.6 | |
ER training | ||||
Yes | 234 (83.6) | 60.0[50.0–71.3] | 60.6 ± 15.5 | 0.104a |
No | 46 (16.4) | 55.0[45.0–70.0] | 56.5 ± 15.2 | |
HAMs training | ||||
Yes | 252 (90.0) | 65.0[50.0–75.0] | 60.9 ± 14.8 | 0.002a |
No | 28 (10.0) | 50.0[41.3–60.0] | 50.9 ± 14.9 | |
Training need | ||||
Need | 229 (81.8) | 60.0[47.5–70.0] | 59.7 ± 15.1 | 0.848b |
No comment | 33 (11.8) | 60.0[50.0–75.0] | 60.9 ± 16.4 | |
No need | 18 (6.4) | 60.0[48.8–72.5] | 61.1 ± 13.8 |
HAMs administration knowledge score
Variable | Frequency (%) N = 280 | Administration score Median [interquartile range] | Mean ± SD | P-value |
---|---|---|---|---|
Gender | ||||
Male | 153 (54.6) | 7.0[5.0–8.0] | 6.4 ± 2.0 | 0.002a |
Female | 127 (45.4) | 6.0[4.0–7.0] | 5.7 ± 1.9 | |
Age (year) | ||||
< 25 | 37 (13.2) | 6.0[5.0–7.0] | 5.7 ± 1.9 | 0.022b |
> 25–30 | 121(43.2) | 6.0[4.0–7.0] | 5.8 ± 2.1 | |
> 30–35 | 64 (22.9) | 7.0[5.0–8.0] | 6.5 ± 1.9 | |
> 35 | 58 (20.7) | 7.0[5.0–8.0] | 6.6 ± 1.9 | |
District | ||||
Hebron | 44 (15.7) | 6.0[5.0–8.0] | 6.3 ± 2.2 | 0.179b |
Bethlehem | 38 (13.6) | 6.5[5.0–8.0] | 6.5 ± 1.8 | |
Ramallah | 58 (20.7) | 6.0[5.0–8.0] | 6.3 ± 2.2 | |
Nablus | 74 (26.4) | 6.0[4.8–7.0] | 5.9 ± 1.8 | |
Tulkarm | 26 (9.3) | 5.0[4.0–7.0] | 5.2 ± 1.9 | |
Jenin | 40 (14.3) | 6.0[4.3–8.0] | 6.0 ± 2.2 | |
Education | ||||
Diploma | 96 (34.3) | 6.0[4.3–7.0] | 5.8 ± 2.1 | 0.243b |
Bachelor | 161 (57.5) | 6.0[5.0–8.0] | 6.2 ± 1.9 | |
Master | 23 (8.2) | 6.0[5.0–8.0] | 6.4 ± 2.2 | |
Position | ||||
Qualified Nurse c | 96 (34.3) | 6.0[4.3–7.0] | 6.9 ± 2.2 | 0.101b |
Legal Nurse d | 170 (60.7) | 6.0[5.0–8.0] | 6.2 ± 1.9 | |
Head Nurse | 14 (5.0) | 7.5[5.0–9.0] | 5.8 ± 2.1 | |
Wards | ||||
ICU | 71 (25.4) | 7.0[5.0–8.0] | 6.6 ± 2.0 | 0.011b |
ER | 62 (22.1) | 6.0[4.8–8.0] | 6.0 ± 2.2 | |
Pediatrics | 75 (26.8) | 5.0[5.0–7.0] | 5.6 ± 1.9 | |
Medical | 72 (25.7) | 6.0[5.0–7.8] | 6.1 ± 1.9 | |
Ward experience (year) | ||||
< 2 | 95 (33.9) | 6.0[5.0–7.0] | 5.8 ± 1.9 | 0.301b |
> 2–5 | 89 (31.8) | 6.0[5.0–8.0] | 6.0 ± 2.1 | |
> 5–1 | 62 (22.1) | 7.0[5.0–8.0] | 6.5 ± 1.9 | |
> 10 | 34 (12.1) | 6.5[5.0–8.0] | 6.3 ± 2.1 | |
Total experience (year) | ||||
< 2 | 25 (8.9) | 6.0[3.0–7.5] | 5.2 ± 2.4 | 0.089b |
> 2–5 | 69 (24.6) | 6.0[5.0–7.0] | 5.9 ± 1.8 | |
> 5–10 | 106 (37.9) | 6.0[5.0–8.0] | 6.1 ± 2.0 | |
> 10 | 80 (28.6) | 7.0[5.0–8.0] | 6.5 ± 2.0 | |
ICU training | ||||
Yes | 200 (71.4) | 6.0[5.0–8.0] | 6.2 ± 1.9 | 0.163a |
No | 80 (28.6) | 6.0[4.3–8.0] | 5.8 ± 2.2 | |
ER training | ||||
Yes | 234 (83.6) | 6.0[5.0–8.0] | 6.1 ± 2.0 | 0.528a |
No | 46 (16.4) | 6.0[4.8–7.0] | 6.0 ± 2.1 | |
HAMs training | ||||
Yes | 252 (90.0) | 6.0[5.0–8.0] | 6.2 ± 1.9 | 0.005a |
No | 28 (10.0) | 5.0[4.0–6.0] | 5.1 ± 2.1 | |
Training need | ||||
Need | 229 (81.8) | 6.0[5.0–8.0] | 6.0 ± 2.0 | 0.384b |
No comment | 33 (11.8) | 7.0[5.0–8.0] | 6.5 ± 2.1 | |
No need | 18 (6.4) | 7.0[4.8–8.0] | 6.3 ± 1.6 |
HAMs regulation knowledge score
Variable | Frequency (%) N = 280 | Regulation score Median [interquartile range] | Mean ± SD | P-value |
---|---|---|---|---|
Gender | ||||
Male | 153 (54.6) | 6.0[5.0–7.0] | 6.1 ± 1.6 | 0.048a |
Female | 127 (45.4) | 6.0[4.0–7.0] | 5.7 ± 1.8 | |
Age (year) | ||||
< 25 | 37 (13.2) | 6.0[4.5–7.0] | 5.7 ± 1.7 | 0.461b |
> 25–30 | 121(43.2) | 6.0[5.0–7.0] | 5.9 ± 1.66 | |
> 30–35 | 64 (22.9) | 6.5[5.0–7.0] | 6.2 ± 1.6 | |
> 35 | 58 (20.7) | 6.0[4.8–7.0] | 5.7 ± 1.8 | |
District | ||||
Hebron | 44 (15.7) | 6.0[5.0–7.0] | 5.8 ± 1.7 | 0.024b |
Bethlehem | 38 (13.6) | 5.0[4.0–7.0] | 5.3 ± 1.6 | |
Ramallah | 58 (20.7) | 6.0[5.0–7.3] | 6.4 ± 1.7 | |
Nablus | 74 (26.4) | 6.0[5.0–7.0] | 6.1 ± 1.8 | |
Tulkarm | 26 (9.3) | 6.0[4.0–6.0] | 5.2 ± 1.6 | |
Jenin | 40 (14.3) | 6.0[5.0–7.0] | 5.9 ± 1.5 | |
Education | ||||
Diploma | 96 (34.3) | 5.0[4.0–7.0] | 5.28 ± 1.8 | < 0.001b |
Bachelor | 161(57.5) | 6.0[5.0–7.0] | 6.2 ± 1.6 | |
Master | 23 (8.2) | 7.0[5.0–7.0] | 6.3 ± 1.6 | |
Position | ||||
Qualified Nurse c | 96 (34.3) | 5.0[4.0–7.0] | 5.3 ± 1.8 | < 0.001b |
Legal Nurse d | 170 (60.7) | 6.0[5.0–7.0] | 6.2 ± 1.6 | |
Head Nurse | 14 (5.0) | 7.0[6.0–7.0] | 6.4 ± 1.2 | |
Wards | ||||
ICU | 71 (25.4) | 7.0[6.0–7.0] | 6.5 ± 1.6 | 0.013b |
Emergency | 62 (22.1) | 6.0[5.0–7.0] | 5.6 ± 1.6 | |
Pediatrics | 75 (26.8) | 6.0[4.0–7.0] | 5.7 ± 1.8 | |
Medical | 72 (25.7) | 6.0[5.0–7.0] | 5.8 ± 1.6 | |
Ward experience (year) | ||||
< 2 | 95 (33.9) | 6.0[5.0–7.0] | 5.7 ± 1.7 | 0.248b |
> 2–5 | 89 (31.8) | 6.0[5.0–7.0] | 5.8 ± 1.7 | |
> 5–10 | 62 (22.1) | 6.0[5.0–7.0] | 6.1 ± 1.7 | |
> 10 | 34 (12.1) | 6.0[5.0–7.0] | 6.2 ± 1.8 | |
Total experience (year) | ||||
< 2 | 25 (8.9) | 6.0[4.5–7.0] | 5.7 ± 1.9 | 0.429b |
> 2–5 | 69 (24.6) | 6.0[4.0–7.0] | 5.7 ± 1.7 | |
> 5–10 | 106 (37.9) | 6.0[5.0–7.0] | 6.1 ± 1.8 | |
> 10 | 80 (28.6) | 6.0[5.0–7.0] | 5.9 ± 1.6 | |
ICU training | ||||
Yes | 200 (71.4) | 6.0[5.0–7.0] | 6.1 ± 1.7 | < 0.001a |
No | 80 (28.6) | 5.0[4.0–6.0] | 5.3 ± 1.5 | |
ER training | ||||
Yes | 234 (83.6) | 6.0[5.0–7.0] | 6.0 ± 1.7 | 0.012a |
No | 46 (16.4) | 5.5[4.0–6.0] | 5.3 ± 1.6 | |
HAM training | ||||
Yes | 252 (90.0) | 6.0[5.0–7.0] | 6.0 ± 1.7 | 0.014a |
No | 28 (10.0) | 5.5[4.0–6.0] | 5.1 ± 1.6 | |
Training need | ||||
Need | 229 (81.8) | 6.0[5.0–7.0] | 5.9 ± 1.7 | 0.782b |
No comment | 33 (11.8) | 6.0[5.0–7.0] | 5.7 ± 1.7 | |
No need | 18 (6.4) | 6.0[5.0–7.0] | 5.9 ± 1. |
Relationship between administration and regulation knowledge of HAMs
Factors associated with HAMs knowledge
Variable | Total frequency (%) | High score ≥ 70 N = 92 | Low score < 70 N = 188 | P-value |
---|---|---|---|---|
Gender | ||||
Male | 153(54.6) | 62 (67.4) | 91(48.4) | 0.003 |
Female | 127(45.4) | 30 (32.6) | 97 (51.6) | |
Age (year) | ||||
< 25 | 37 (13.2) | 9 (9.8) | 28 (14.9) | 0.015 |
> 25–30 | 121(43.2) | 31(33.7) | 90 (47.9) | |
> 30–35 | 64 (22.9) | 30 (32.6) | 34 (18.1) | |
> 35 | 58 (20.7) | 22 (23.9) | 36 (19.1) | |
District | ||||
Hebron | 44 (15.7) | 14 (15.2) | 30 (16.0) | 0.052 |
Bethlehem | 38 (13.6) | 9 (9.8) | 29 (15.4) | |
Ramallah | 58 (20.7) | 27 (29.3) | 31(16.5) | |
Nablus | 74 (26.4) | 27 (29.3) | 47 (25.0) | |
Tulkarm | 26 (9.3) | 4 (4.3) | 22 (11.7) | |
Jenin | 40 (14.3) | 11(12) | 29 (15.4) | |
Education | ||||
Diploma | 96 (34.3) | 23 (25) | 73 (38.8) | 0.072 |
Bachelor | 161 (57.5) | 60 (65.2) | 101(53.7) | |
Master | 23 (8.2) | 9 (9.8) | 14 (7.4) | |
Position | ||||
Qualified Nursea | 96 (34.3) | 23 (25) | 73 (38.8) | 0.042 |
Legal Nurseb | 170 (60.7) | 62 (67.4) | 108 (57.4) | |
Head Nurse | 14 (5.0) | 7 (7.6) | 7 (3.7) | |
Wards | ||||
ICU | 71(25.4) | 36 (39.1) | 35 (18.6) | 0.002 |
ER | 62 (22.1) | 18 (19.6) | 44 (23.4) | |
Pediatrics | 75 (26.8) | 16 (17.4) | 59 (31.4) | |
Medical | 72 (25.7) | 22 (23.9) | 50 (26.6) | |
Ward experience (year) | ||||
< 2 | 95 (33.9) | 25 (27.2) | 70 (37.2) | 0.275 |
> 2–5 | 89 (31.8) | 29 (31.5) | 60 (31.9) | |
> 5–10 | 62 (22.1) | 24 (26.1) | 38 (20.2) | |
> 10 | 34 (12.1) | 14 (15.2) | 20 (10.6) | |
Total experience (year) | ||||
< 2 | 25 (8.9) | 7 (7.6) | 18 (9.6) | 0.042 |
> 2–5 | 69 (24.6) | 14 (15.2) | 55 (29.3) | |
> 5–10 | 106 (37.9) | 38 (41.3) | 68 (36.2) | |
> 10 | 80 (28.6) | 33 (35.9) | 47 (25.0) | |
ICU training | ||||
Yes | 200 (71.4) | 74 (80.4) | 126 (67.0) | 0.02 |
No | 80 (28.6) | 18 (19.6) | 62 (33.0) | |
ER training | ||||
Yes | 234 (83.6) | 79 (85.9) | 155 (82.4) | 0.468 |
No | 46 (16.4) | 13 (14.1) | 33 (17.6) | |
HAM Training | ||||
Yes | 252 (90.0) | 88 (95.7) | 164 (87.2) | 0.027 |
No | 28 (10.0) | 4 (4.3) | 24 (12.8) | |
Training need | ||||
Need | 229 (81.8) | 75 (81.5) | 154 (81.9) | 0.821 |
No comment | 33 (11.8) | 12 (13.0) | 21(11.2) | |
No need | 18 (6.4) | 5 (5.4) | 13 (6.9) |
Discussion
Conclusions
-
We recommend that each hospital should establish its own list of HAMs, and this list should be updated regularly. Each hospital should also establish standard operating procedures for administration and regulation of HAMs.
-
Additional continuing education and professional training regarding HAMs needs to be established in the teaching plans of nursing schools.
-
Physicians, pharmacists and nurses need improved communication skills; this will help them to understand each other, ensuring clear communication between the relevant professionals, and thereby, reducing MEs.
-
Continuous teaching and training programs about HAMs need to be established in each hospital, and clinical pharmacists should be involved in these programs, to provide valuable information about HAMs.
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Risk reduction strategies should be established for all steps of the medication use process, from preparation and storage to administration and monitoring; for example, look-alike drugs should be stored separately, and neuromuscular blocking agents should be stored in separate locked containers.