Objective:Medication errors are the most common medical errors, which may result in some complications for patients. This study was carried out to investigate what influence medication errors by nurses from their viewpoint.Methods:In this descriptive study, 150 nurses who were working in Qazvin Medical University teaching hospitals were selected by proportional random sampling, and data were collected by means of a researcher-made questionnaire including demographic attributes (age, gender, working experience,…), and contributing factors in medication errors (in three categories including nurse-related, management-related, and environment-related factors).Findings:The mean age of the participant nurses was 30.7 ± 6.5 years. Most of them (87.1%) were female with a Bachelor of Sciences degree (86.7%) in nursing. The mean of their overtime working was 64.8 ± 38 h/month. The results showed that the nurse-related factors are the most effective factors (55.44 ± 9.14) while the factors related to the management system (52.84 ± 11.24) and the ward environment (44.0 ± 10.89) are respectively less effective. The difference between these three groups was significant (P = 0.000). In each aforementioned category, the most effective factor on medication error (ranked from the most effective to the least effective) were as follow: The nurse's inadequate attention (98.7%), the errors occurring in the transfer of medication orders from the patient's file to kardex (96.6%) and the ward's heavy workload (86.7%).Conclusion:In this study nurse-related factors were the most effective factors on medication errors, but nurses are one of the members of health-care providing team, so their performance must be considered in the context of the health-care system like work force condition, rules and regulations, drug manufacturing that might impact nurses performance, so it could not be possible to prevent medication errors without paying attention to our health-care system in a holistic approach.
Telenursing is a suitable tool for increasing health-related awareness of the caregivers for a better home care. But its efficacy may be affected by several factors. Considering the important complications of head trauma injury and high rate of readmission, we aimed to assess the effect of telenursing on care provided by the family members of patients with head trauma.This randomized controlled trial investigated 72 patients with head trauma, who were randomly allocated to intervention and control groups (36 patients in each group). The caregivers in both groups were provided with 1-hr face-to-face training session on patients' home care and educational booklets. The patients in the intervention group were followed up every week through phone calls by the telenurse for 12 weeks, who recorded the patient's status, as well. Caregivers in the intervention group could call the telenurse any time they desired. The health status of the control group was followed once by a phone call after 12 weeks. Data on patients' readmission and pressure ulcer (based on Norton's scale) rate and time were compared between the groups and analyzed using SPSS software, version 19. Thirty-three patients with a mean ± SD age of 31.12 ± 10.83 years were studied in the control group and 35 patients with a mean ± SD age of 34.11 ± 12.34 years in the intervention group (p = .098). None of the patients in the intervention group were readmitted, whereas 2 patients in the control group were readmitted s(p = .139). Risk of pressure ulcer did not differ between the groups (p = .583). Telenursing had no significant effect in readmission and decubitus prevention for patients with head trauma. Considering the chronic nature of the illness, a longer follow-up period is deemed necessary for an accurate conclusion.
We aimed to assess the effect of telenursing on referral rates of patients with head trauma and their family's satisfaction after discharge. Seventy-two patients with head trauma were randomly allocated to equal intervention and control groups. The caregivers in both groups were provided with 1-hr face-to-face training on patients' home care and educational booklets, 2 days before discharge. The cell phone numbers of the telenurse was given to the caregivers of the intervention group. Then, the patients in the intervention group were followed up every week through phone calls by the telenurse for 12 weeks and the patient status checklists were completed. Caregivers in the intervention group could call the telenurse any time they desired. The health status of the control group was followed once by a phone call after 12 weeks. Data were analyzed using SPSS software, version 19. Ultimately, 33 patients with a mean ± SD age of 31.12 ± 10.83 years were studied in the control group and 35 patients with a mean ± SD age of 34.11 ± 12.34 years were studied in the intervention group (p = .098). The 2 groups differed significantly with respect to referral rates; 39.4% of the participants in the control group referred to physicians whereas only 25.7% of the patients in the intervention group needed to refer to physicians (p = .017). Also, the mean times of referring to a physician differed significantly in both groups. In general, 53.8% of the caregivers were satisfied with the telenursing program. Follow-up programs using telephone calls were effective and would lead to higher caregiver satisfaction.
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