Errors linked to medication management in nursing homes: an interview study

Automated medication verification system (AMVS): System based on edge detection and CNN classification drug on embedded systems

A novel automated medication verification system (AMVS) aims to address the limitation of manual medication verification among healthcare professionals with a high workload, thereby reducing medication errors in hospitals. Specifically, the manual medication verification process is time-consuming and prone to errors, especially in healthcare settings with high workloads. The proposed system strategy is to streamline and automate this process, enhancing efficiency and reducing medication errors. The system employs deep learning models to swiftly and accurately classify multiple medications within a single image without requiring manual labeling during model construction. It comprises edge detection and classification to verify medication types. Unlike previous studies conducted in open spaces, our study takes place in a closed space to minimize the impact of optical changes on image capture. During the experimental process, the system individually identifies each drug within the image by edge detection method and utilizes a classification model to determine each drug type. Our research has successfully developed a fully automated drug recognition system, achieving an accuracy of over 95 % in identifying drug types and conducting segmentation analyses. Specifically, the system demonstrates an accuracy rate of approximately 96 % for drug sets containing fewer than ten types and 93 % for those with ten types. This verification system builds an image classification model quickly. It holds promising potential in assisting nursing staff during AMVS, thereby reducing the likelihood of medication errors and alleviating the burden on nursing staff.

Investigating safe nursing care and medication safety competence in nursing students: a multicenter cross-sectional study in Iran

BACKGROUND

Medication safety competence is very important as one of the clinical skills among nursing students to provide safe nursing care. The lack of medication safety competence in nursing students leads to occurrence of medication errors subsequently jeopardizing patient safety. Thus, the present study was conducted to investigate safe nursing care and medication safety competence among nursing students in the south of Iran.

METHODS

A descriptive cross-sectional multicenter study was conducted from September to December 2022. The research population included nursing students of three universities of medical sciences in Fars Province, Southern Iran. A total of 310 nursing students who were selected through convenience sampling participated in the study. The data collection instruments consisted of a demographics survey, Medication Safety Competence Scale (MSCS), and a Safe Nursing Care Scale (SNCS). The collected data were analyzed using descriptive statistics (absolute and relative frequency, mean and standard deviation) and inferential statistics (Independent t-test, Analysis of variance and Pearson correlation coefficient). The data were analyzed in SPSS 23 and the level of significance was considered 0.05.

RESULTS

The mean age of the participants was 22.53 ± 1.69 years. The total mean scores for medication safety competence and safe nursing care were found to be 111.97 ± 11.85 and 105.12 ± 11.64, respectively. There was a statistically significant positive correlation between safe nursing care and medication safety competence (r = 0.084, P < 0.001).

CONCLUSION

The mean scores of nursing students' medication safety competence and safe nursing care were at an average level. To maintain patient safety, nursing instructors and managers are recommended to employ appropriate strategies to improve medication safety competence and safe nursing care in nursing students.

Translation and psychometric assessment of a Persian version of medication safety competence scale (MSCS) for clinical nurses

Nurses play a key role in medication safety and, by extension, patient safety. Evaluation of medication safety competence in nurses requires valid, specific, and comprehensive instruments. The present study was conducted to translate and psychometric assessment a Persian version of medication safety competence scale (MSCS) for clinical nurses in Iran. This is a cross-sectional and multi-centric work of research with a methodological design. A total of 1080 clinical nurses were selected from 5 cities located in Iran. The original version of the MSCS was translated into Persian and the psychometric properties of MSCS were assessed using COSMIN criteria. The exploratory factor analysis (EFA) showed that the factor loading of the 36 items was between 0.72-0.87, all of which were significant. The confirmatory factor analysis (CFA) fitted the data well (χ²/df = 7, RMSEA = 0.01, CFI = 0.96, NFI = 0.95, and TLI = 0.97). The reliability of the instrument was assessed in terms of its internal homogeneity where the Cronbach's alpha of the whole instrument was found to be 0.96. The Persian version of MSCS for nurses possesses satisfactory validity and reliability. Thus, nurse managers can use this instrument to measure medication safety competence in nurses.

Medication Identification Device to Reduce Medication Errors in Nursing Homes: A Controlled Pilot Study

A controlled pilot study was performed to evaluate implementation of a medication identification device intended to reduce errors in nursing homes. Naïve observation was used for data collection of medication errors on an intervention unit using the device and a control unit, along with field notes describing observation details. Ten staff were observed administering medications to 70 residents over the study time-frame. Of the 9,099 medication administrations observed (n = 4,588 intervention; n = 4,511 control), 1,068 (12%) errors were identified. The intervention unit had fewer non-time errors versus the control unit, including dose (n = 21 vs. n = 59; p < 0.01), drug (n = 4 vs. n = 21; p <0.01), route (n = 0 vs. n = 4; p < 0.01), and given without order (n = 1 vs. n = 8; p < 0.01). However, time errors were higher on the intervention unit and were often due to late start and interruptions. Non-time errors were due to reliance on memory and nursing judgment. A combination of technology and staff dedicated solely to medication administration likely affected error rate differences. [Journal of Gerontological Nursing, 48(4), 5-11.].

The art of making the right exception to the "rule": Nurses' experiences with drug dispensing in nursing homes

Nurses are key professionals in ensuring safe drug management in nursing homes, and their practice is regulated by a number of guidelines. The present study aimed to explore nurses' experiences of dispensing drugs to older people in nursing homes by using an exploratory qualitative design. Focus group interviews were conducted in three nursing homes in central Norway; the data were analyzed using qualitative content analysis. The results indicated that drug dispensing was perceived as a complicated process during which both anticipated and unforeseen challenges arose that influenced the nurses' abilities to follow professional standards. In these situations, the nurses had to apply their knowledge and make various adjustments based on conditions in the organization and the needs of individual patients. The findings have implications for facilitating nurses' working conditions and resources to avoid drug administration that limit the discretion of nurses and threaten patient safety in nursing homes.

Medication Administration Safety Practices and Perceived Barriers Among Nurses: A Cross-Sectional Study in Northern Nigeria

Introduction

Safe medication administration is a vital process that ensures patients' safety and quality of life. However, reports of medication errors and their solutions are lacking. The aim of this study was to examine the correlation between medication administration safety practices and perceived barriers among nurses in northern Nigeria.

Methods

A descriptive approach to research and cross-sectional design was applied to this study. The study population included nurse employees of the Zamfara State Government in northern Nigeria. Simple random sampling and systematic sampling were used in selecting the respondents of the study. Descriptive analysis and the Spearman rank-order correlation were used in data analysis.

Results

Fewer than 50% of the respondents were found to agree or strongly agree that they identify allergic patients before administering medication. Most of the respondents had agreed or strongly agreed with the following as barriers to medication administration safety practices: lack of appropriate coordination between physicians and nurses, and lack of favorable policies and facilities. There was a very weak positive correlation between medication safety practices and barriers to medication safety practices, and the correlation was statistically significant (r_s = 0.180, P = 0.009).

Conclusion

There was a high level of desirable medication administration safety practices that the respondents followed. Nonidentification of a patient's allergic status and inadequate information on the effects of medications were among the identified medication administration practice gaps. There should be policies guiding medication administration in all hospitals in Zamfara, Nigeria.

Psychometric evaluation of medication safety competence scale for clinical nurses

BACKGROUND

Nurses are the most important members of the health care system for medication safety, there are few tools to evaluate their medication safety competence. This study aimed to translate the Medication Safety Competence Scale into Chinese and validate its reliability and validity among clinical nurses.

METHODS

A total of 894 clinical nurses were recruited from three cities in China. The original version of the Medication Safety Competence Scale was translated into Chinese using the backward and forward translation procedure. The reliability of the scale was measured by internal consistency, split-half reliability, and stability. The validity of the scale was assessed by the content validity index, exploratory factor analysis and confirmatory factor analysis.

RESULTS

The Cronbach's coefficient of the scale was 0.940, and the coefficient values for the six domains ranged between 0.843 and 0.948. The split-half reliability and stability were 0.671 and 0.703, respectively. The content validity index of the scale was 0.952. The 6-factor structure, supported by the eigenvalues, total variance explained, and scree plot accounted for 71.485 % of the total variance. Moreover, as a result of the confirmatory factor analysis, the average variance extracted values were 0.55 to 0.70, and the model fitting indexes were all in the acceptable range.

CONCLUSIONS

The Chinese version of the Medication Safety Competence Scale had ideal reliability and validity among clinical nurses. The evaluation results of the scale can provide a reference for nursing managers to formulate education plans and intervention measures to improve clinical nurses' safe medication competence.