| Literature DB >> 35487740 |
Minoru Sawa1, Tomomi Inoue2, Shinichi Manabe2.
Abstract
OBJECTIVES: This study aimed to evaluate a biometric palm vein authentication system to prevent medication administration errors in psychiatric hospitals.Entities:
Keywords: Dementia; PSYCHIATRY; Quality in health care
Mesh:
Substances:
Year: 2022 PMID: 35487740 PMCID: PMC9058808 DOI: 10.1136/bmjopen-2021-055107
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 3.006
Comparison of medication error incidents before and after introduction of the biometric palm vein medication authentication system
| 18 months before | 18 months after | P value* | |
| Total number of patients | 3444 | 3523 | |
| Total number of incidents of errors | 1209 | 1051 | |
| Type of medication administration errors misidentification | 6 | 2 | |
| Non-compliant medication | 1 | 3 | |
| Total number of incidents of errors/total number of patients | 1209/3444 | 1051/3523 | <0.0001 |
| Misidentification errors/total number of incidents of errors | 6/3444 | 2/3523 | <0.0001 |
*Statistically significant.
Demographic characteristics of the participant nurses and nurses’ attitudes toward the new medication authentication system
| Ward type | |||
| Variable | Chronic | Dementia | Emergency |
| Gender | |||
| Male | 25 | 6 | 34 |
| Female | 51 | 12 | 56 |
| Age group (years) | |||
| 20–29 | 10 | 3 | 11 |
| 30–39 | 15 | 6 | 26 |
| 40–49 | 37 | 5 | 31 |
| 50–59 | 12 | 3 | 20 |
| Over 60 | 2 | 1 | 2 |
| Work experience (years) | |||
| Less than 3 | 7 | 1 | 5 |
| 3–4 | 14 | 5 | 10 |
| 5–9 | 14 | 4 | 22 |
| 10–19 | 25 | 3 | 34 |
| 20–29 | 11 | 5 | 13 |
| 30–39 | 4 | 0 | 5 |
| Over 40 | 1 | 0 | 1 |
| Anxiety | |||
| Reduced or no change | 75 | 17 | 90 |
| Increased | 1 | 1 | 0 |
| Work burden | |||
| Reduced or no change | 19 | 5 | 33 |
| Increased | 56 | 13 | 56 |
| Time pressure | |||
| Reduced or no change | 5 | 1 | 17 |
| Increased | 71 | 17 | 73 |
| Burden for patient care | |||
| Reduced or no change | 30 | 2 | 37 |
| Increased | 46 | 16 | 53 |
| Average administration time per patient (s) | |||
| Per patient | 90.2±7.1 | 179.6±17.1 | 82.7±4.2 |
Results of logistic analyses
| Dependent variable | Covariates | OR | 95% CI | P value |
| Work burden | Gender (male/female) | 3.11 | 1.44 to 6.72 | <0.01* |
| Work experience | 0.85 | 0.63 to 1.14 | 0.27 | |
| Ward type (chronic/emergency) | 1.86 | 0.92 to 3.75 | 0.09 | |
| Ward type (dementia/emergency) | 1.55 | 0.49 to 4.94 | 0.46 | |
| Age group (every 10 years) | 0.89 | 0.60 to 1.30 | 0.54 | |
| Time pressure | Gender (male/female) | 0.87 | 0.34 to 2.22 | 0.77 |
| Work experience | 1.06 | 0.71 to 1.60 | 0.77 | |
| Ward type (chronic/emergency) | 3.33 | 1.16 to 9.57 | 0.03* | |
| Ward type (dementia/emergency) | 4.02 | 0.50 to 32.44 | 0.19 | |
| Age group (every 10 years) | 0.99 | 0.58 to 1.68 | 0.97 | |
| Burden for patient care | Gender (male/female) | 1.27 | 0.66 to 2.43 | 0.48 |
| Work experience | 1.03 | 0.78 to 1.35 | 0.86 | |
| Ward type (chronic/emergency) | 1.09 | 0.58 to 2.04 | 0.79 | |
| Ward type (dementia/emergency) | 5.67 | 1.22 to 26.27 | 0.03* | |
| Age group (every 10 years) | 0.90 | 0.63 to 1.30 | 0.59 |
*Statistically significant.