Effect of bar-code-assisted medication administration on nurses’ activities in an intensive care unit: A time–motion study

The pattern of antibiotics use in cancer patients in the intensive care unit (ICU) of dharma is cancer special hospital (DCSH) has not been identified. The purpose of this study is to determine the pattern of antibiotics use in cancer patients treated in the ICU of DCSH from 2012-2014. This study was observational with a cross-sectional design. The data collection is done retrospectively. The inclusion criteria to recruit the subjects, i.e. Adult patients who had nosocomial infections in the ICU; Patients with medical records in the ICU who received antibiotics in the 2012-2014 periods. Patients originating from inpatients (wards); Patients with medical records were read. The exclusion criteria were postoperative patients and Patients with incomplete medical records. We collected data from medical records of cancer patients who had been admitted to the ICU in 2012-2014, medication administration records, sample submission, and laboratory records. There are 202 cancer patients including in the study. Leukemia and breast cancer were the most cancer’s diagnosis in the Subject. More than two hundred cancer patients were receiving antibiotic therapy, with more than 50% of them were diagnosed with pneumonia, followed by central infection (>20%) and urinary tract infection (>10%). The antibiotic most frequently used was meropenem, with 33.8%. The three most commonly used antibiotics from 2012 to 2014 were meropenem, levofloxacin, and ceftriaxone.

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Effect of Implementing Practice Guidelines Regarding Medication Administration Iatrogenic Events on Nurses' Performance at Neonatal Intensive Care Unit

Tanta Scientific Nursing Journal ◽

10.21608/tsnj.2017.71851 ◽

2017 ◽

Vol 13 (2) ◽

pp. 43-59

Author(s):

Sohiar Aboalyzeed ◽

Ebtisam Elsayed. ◽

Hamed Elsharkawy ◽

Amira Saed

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Neonatal Intensive Care Unit ◽

Practice Guidelines ◽

Neonatal Intensive Care ◽

Medication Administration

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The Impact of Delayed Symptomatic Treatment Implementation in the Intensive Care Unit

Healthcare ◽

10.3390/healthcare10010035 ◽

2021 ◽

Vol 10 (1) ◽

pp. 35

Author(s):

Lesley Meng ◽

Krzysztof Laudanski ◽

Mariana Restrepo ◽

Ann Huffenberger ◽

Christian Terwiesch

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Medical Center ◽

Academic Medical Center ◽

Symptomatic Treatment ◽

Medication Administration ◽

Average Delay ◽

Treatment Implementation ◽

Medication Delivery ◽

The Impact

We estimated the harm related to medication delivery delays across 12,474 medication administration instances in an intensive care unit using retrospective data in a large urban academic medical center between 2012 and 2015. We leveraged an instrumental variables (IV) approach that addresses unobserved confounds in this setting. We focused on nurse shift changes as disruptors of timely medication (vasodilators, antipyretics, and bronchodilators) delivery to estimate the impact of delay. The average delay around a nurse shift change was 60.8 min (p < 0.001) for antipyretics, 39.5 min (p < 0.001) for bronchodilators, and 57.1 min (p < 0.001) for vasodilators. This delay can increase the odds of developing a fever by 32.94%, tachypnea by 79.5%, and hypertension by 134%, respectively. Compared to estimates generated by a naïve regression approach, our IV estimates tend to be higher, suggesting the existence of a bias from providers prioritizing more critical patients.

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Does Open Versus Closed Intensive Care Unit System Affect The Frequency Of Health Personnel Contacts With Patients And Their Hand Hygiene? ----- A Time-motion Analysis

10.1164/ajrccm-conference.2010.181.1_meetingabstracts.a4287 ◽

2010 ◽

Author(s):

Babar A. Khan ◽

Ken Hui ◽

Siu Hui ◽

Malaz Boustani ◽

Mark Farber ◽

...

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Hand Hygiene ◽

Motion Analysis ◽

Health Personnel ◽

Unit System ◽

Time Motion ◽

Open Versus

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Nursing staff work patterns in a residential aged care home: a time–motion study

Australian Health Review ◽

10.1071/ah15126 ◽

2016 ◽

Vol 40 (5) ◽

pp. 544 ◽

Cited By ~ 3

Author(s):

Siyu Qian ◽

Ping Yu ◽

David Hailey

Keyword(s):

Nursing Care ◽

Nursing Staff ◽

Care Home ◽

Medication Administration ◽

Aged Care ◽

Verbal Communication ◽

Residential Aged Care ◽

Work Patterns ◽

Time Motion ◽

Motion Study

Objective Residential aged care services are challenged by an increasing number of residents and a shortage of nursing staff. Developing strategies to overcome this challenge requires an understanding of nursing staff work patterns. The aim of the present study was to investigate the work processes followed by nursing staff and how nursing time is allocated in a residential aged care home. Methods An observational time–motion study was conducted at two aged care units for 12 morning shifts. Seven nurses were observed, one per shift. Results In all, there were 91 h of observation. The results showed that there was a common work process followed by all nurse participants. Medication administration, documentation and verbal communication were the most time-consuming activities and were conducted most frequently. No significant difference between the two units was found in any category of activities. The average duration of most activities was less than 1 min. There was no difference in time utilisation between the endorsed enrolled nurses and the personal carers in providing nursing care. Conclusion Medication administration, documentation and verbal communication were the major tasks in morning shifts in a residential aged care home. Future research can investigate how verbal communication supports nursing care. What is known about the topic? The aging population will substantially increase the demand for residential aged care services. There is a lack of research on nurses’ work patterns in residential aged care homes. What does this paper add? The present study provides a comprehensive understanding of nurses’ work patterns in a residential aged care home. There is a common work process followed by nurses in providing nursing care. Medication administration, verbal communication and documentation are the most time-consuming activities and they are frequently conducted in the same period of time. Wound care, physical review and documentation on desktop computers are arranged flexibly by the nurses. What are the implications for practitioners? When developing a task reallocation strategy to improve work efficiency, effort can be put into tasks that can be arranged more flexibly.

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Designing and evaluating an automated system for real-time medication administration error detection in a neonatal intensive care unit

Journal of the American Medical Informatics Association ◽

10.1093/jamia/ocx156 ◽

2018 ◽

Vol 25 (5) ◽

pp. 555-563 ◽

Cited By ~ 13

Author(s):

Yizhao Ni ◽

Todd Lingren ◽

Eric S Hall ◽

Matthew Leonard ◽

Kristin Melton ◽

...

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Real Time ◽

Medication Errors ◽

Neonatal Intensive Care ◽

Current Practice ◽

Medication Administration ◽

Automated System ◽

Patient Exposure ◽

Potential Harm

Abstract Background Timely identification of medication administration errors (MAEs) promises great benefits for mitigating medication errors and associated harm. Despite previous efforts utilizing computerized methods to monitor medication errors, sustaining effective and accurate detection of MAEs remains challenging. In this study, we developed a real-time MAE detection system and evaluated its performance prior to system integration into institutional workflows. Methods Our prospective observational study included automated MAE detection of 10 high-risk medications and fluids for patients admitted to the neonatal intensive care unit at Cincinnati Children’s Hospital Medical Center during a 4-month period. The automated system extracted real-time medication use information from the institutional electronic health records and identified MAEs using logic-based rules and natural language processing techniques. The MAE summary was delivered via a real-time messaging platform to promote reduction of patient exposure to potential harm. System performance was validated using a physician-generated gold standard of MAE events, and results were compared with those of current practice (incident reporting and trigger tools). Results Physicians identified 116 MAEs from 10 104 medication administrations during the study period. Compared to current practice, the sensitivity with automated MAE detection was improved significantly from 4.3% to 85.3% (P = .009), with a positive predictive value of 78.0%. Furthermore, the system showed potential to reduce patient exposure to harm, from 256 min to 35 min (P < .001). Conclusions The automated system demonstrated improved capacity for identifying MAEs while guarding against alert fatigue. It also showed promise for reducing patient exposure to potential harm following MAE events.

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