A human factors engineering conceptual framework of nursing workload and patient safety in intensive care units

2005 ◽  
Vol 21 (5) ◽  
pp. 284-301 ◽  
Author(s):  
Pascale Carayon ◽  
Ayşe P. Gürses
Keyword(s):  
Patient Safety ◽  
Intensive Care ◽  
Human Factors ◽  
Conceptual Framework ◽  
Intensive Care Units ◽  
Nursing Workload ◽  
Human Factors Engineering

Medical Devices and Patient Safety

2012 ◽  
Vol 32 (4) ◽  
pp. 60-68 ◽  
Author(s):  
Elizabeth Mattox
Keyword(s):  
Health Care ◽  
Patient Safety ◽  
Intensive Care ◽  
Human Factors ◽  
Medical Devices ◽  
Human Factors Engineering ◽  
Reduce Risk ◽  
Device Use

Errors related to health care devices are not well understood. Nurses in intensive care and progressive care environments can benefit from understanding manufacturer-related error and device-use error, the principles of human factors engineering, and the steps that can be taken to reduce risk of errors related to health care devices.

Human factors and computerisation in intensive care units: a review

1991 ◽  
Vol 8 (3) ◽  
pp. 167-178 ◽  
Author(s):  
C. A. Green ◽  
K. J. Gilhooly ◽  
R. Logie ◽  
D. G. Ross
Keyword(s):  
Intensive Care ◽  
Human Factors ◽  
Intensive Care Units

scholarly journals Patient safety culture at neonatal intensive care units: perspectives of the nursing and medical team

2014 ◽  
Vol 22 (5) ◽  
pp. 755-763 ◽  
Author(s):  
Andréia Tomazoni ◽  
Patrícia Kuerten Rocha ◽  
Sabrina de Souza ◽  
Jane Cristina Anders ◽  
Hamilton Filipe Correia de Malfussi
Keyword(s):  
Patient Safety ◽  
Intensive Care ◽  
Intensive Care Units ◽  
Safety Culture ◽  
Neonatal Intensive Care ◽  
Patient Safety Culture ◽  
Neonatal Intensive Care Units ◽  
Cronbach’S Alpha ◽  
Cronbach's Alpha ◽  
Professional Characteristics

OBJECTIVE: to verify the assessment of the patient safety culture according to the function and length of experience of the nursing and medical teams at Neonatal Intensive Care Units.METHOD: quantitative survey undertaken at four Neonatal Intensive Care Units in Florianópolis, Brazil. The sample totaled 141 subjects. The data were collected between February and April 2013 through the application of the Hospital Survey on Patient Safety Culture. For analysis, the Kruskal-Wallis and Chi-Square tests and Cronbach's Alpha coefficient were used. Approval for the research project was obtained from the Ethics Committee, CAAE: 05274612.7.0000.0121.RESULTS: differences in the number of positive answers to the Hospital Survey on Patient Safety Culture, the safety grade and the number of reported events were found according to the professional characteristics. A significant association was found between a shorter Length of work at the hospital and Length of work at the unit and a larger number of positive answers; longer length of experience in the profession represented higher grades and less reported events. The physicians and nursing technicians assessed the patient safety culture more positively. Cronbach's alpha demonstrated the reliability of the instrument.CONCLUSION: the differences found reveal a possible relation between the assessment of the safety culture and the subjects' professional characteristics at the Neonatal Intensive Care Units.

scholarly journals Assessment of patient safety culture in intensive care units and factors affecting it

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
M A Tlili ◽  
W Aouicha ◽  
H Lamine ◽  
E Taghouti ◽  
M B e n Dhiab ◽  
...  
Keyword(s):  
Patient Safety ◽  
Intensive Care ◽  
Adverse Events ◽  
Intensive Care Units ◽  
Safety Culture ◽  
Improve Patient Safety ◽  
Healthcare Quality ◽  
Patient Safety Culture ◽  
Cross Sectional ◽  
Learning From Errors

Abstract Background The intensive care units are a high-risk environments for the occurrence of adverse events with serious consequences. The development of patient safety culture is a strategic focus to prevent these adverse events and improve patient safety and healthcare quality. This study aimed to assess patient safety culture in Tunisian intensive care units and to determine its associated factors. Methods It is a multicenter, descriptive cross-sectional study, among healthcare professionals of the intensive care units in the Tunisian center. The data collection was spread over a period of 2 months (October-November 2017). The measuring instrument used is the validated French version of the Hospital Survey On Patient Safety Culture questionnaire. Data entry and analysis was carried out by the Statistical Package for Social Sciences (SPSS 20.0) and Epi Info 6.04. Chi-square test was used to explore factors associated with patient safety culture. Results A total of 404 professionals participated in the study with a participation rate of 81.94%, spread over 10 hospitals and 18 units. All dimensions were to be improved. The overall perception of safety was 32.35%. The most developed dimension was teamwork within units with a score of 47.87% and the least developed dimension was the non-punitive response to error (18.6%). The patient safety culture was significantly more developed in private hospitals in seven of the 10 dimensions. Participants working in small units had a significantly higher patient safety culture. It has been shown that when workload is reduced the patient safety culture was significantly increased. Conclusions This study has shown that the patient safety culture still needs to be improved and allowed a clearer view of the safety aspects requiring special attention. Thus, improving patient safety culture. by implementing the quality management and error reporting systems could contribute to enhance the quality of healthcare provided to patients. Key messages The culture of culpability is the main weakness in the study. Encouraging event reporting and learning from errors s should be priorities in hospitals to enhance patient safety and healthcare quality.

scholarly journals Relationship between the Nursing Workload and the Severity of the Patient's Condition in Adult Intensive Care Units

Aquichan ◽  
2011 ◽  
Vol 11 (2) ◽  
pp. 173-186 ◽  
Author(s):  
Elizabeth Romero-Massa ◽  
Johana Patricia Lorduy-Bolívar ◽  
Carmen Pájaro-Melgar ◽  
Carolina Andrea Pérez-Duque ◽  
Keyword(s):  
Intensive Care ◽  
Intensive Care Units ◽  
Apache Ii ◽  
Nursing Workload

Objetivo: determinar la relación entre la demanda de carga laboral de enfermería y la gravedad del paciente en unidades de cuidados intensivos de adultos en la ciudad de Cartagena, en el mes de julio de 2008. Método: investigación de corte longitudinal. Muestra de 42 pacientes, se obtuvieron registros TISS-28 y registros Apache II. Se realizó el cálculo de media aritmética, desviación estándar y proporciones, así como el cálculo del coeficiente de correlación de Pearson. Resultados: participaron 42 pacientes; la media para la edad fue 58,2 años (IC 95% 52,1-64,4). El 51,3% fueron mujeres. Se obtuvieron 42 calificaciones del Apache II al ingreso de los pacientes a la UCI con un promedio de 28,9, de los cuales el 66,7% (28) tienen un mal pronóstico, y 188 calificaciones de TISS-28, con un promedio de 28,7 (IC 95% 25,7-31,7). El promedio de TISS de egreso fue de 25,7 (IC 95% 22,4-28,9) por paciente. El 61,9% de los pacientes perteneció a la clase III. La razón enfermera/paciente clase IV fue de 0,57 inferior a 1:1(1). Se encontró una asociación entre el Apache II y TISS-28 de 0,55 (0,501-0,75) y un coeficiente de determinación de 0,38 (p<0,05). Conclusiones: existe una moderada correlación entre el TISS-28 y el Apache II dejando ver sobrecarga de trabajo de enfermería en las UCI, lo que repercute en la atención directa al paciente crítico.

Implementation of a multimodal patient safety improvement program “SafetyLEAP” in intensive care units

2018 ◽  
Vol 31 (2) ◽  
pp. 140-149 ◽  
Author(s):  
Chantal Backman ◽  
Paul C. Hebert ◽  
Alison Jennings ◽  
David Neilipovitz ◽  
Omar Choudhri ◽  
...  
Keyword(s):  
Patient Safety ◽  
Intensive Care ◽  
Quality Improvement ◽  
Intensive Care Units ◽  
Audit And Feedback ◽  
Improvement Program ◽  
Convenience Sample ◽  
Content Type ◽  
Safety Improvement ◽  
Patient Safety Improvement

Purpose Patient safety remains a top priority in healthcare. Many organizations have developed systems to monitor and prevent harm, and have invested in different approaches to quality improvement. Despite these organizational efforts to better detect adverse events, efficient resolution of safety problems remains a significant challenge. The authors developed and implemented a comprehensive multimodal patient safety improvement program called SafetyLEAP. The term “LEAP” is an acronym that highlights the three facets of the program including: a Leadership and Engagement approach; Audit and feedback; and a Planned improvement intervention. The purpose of this paper is to evaluate the implementation of the SafetyLEAP program in the intensive care units (ICUs) of three large hospitals. Design/methodology/approach A comparative case study approach was used to compare and contrast the adherence to each component of the SafetyLEAP program. The study was conducted using a convenience sample of three (n=3) ICUs from two provinces. Two reviewers independently evaluated major adherence metrics of the SafetyLEAP program for their completeness. Analysis was performed for each individual case, and across cases. Findings A total of 257 patients were included in the study. Overall, the proportion of the SafetyLEAP tasks completed was 64.47, 100, and 26.32 percent, respectively. ICU nos 1 and 2 were able to identify opportunities for improvement, follow a quality improvement process and demonstrate positive changes in patient safety. The main factors influencing adherence were the engagement of a local champion, competing priorities, and the identification of appropriate resources. Practical implications The SafetyLEAP program allowed for the identification of processes that could result in patient harm in the ICUs. However, the success in improving patient safety was dependent on the engagement of the care teams. Originality/value The authors developed an evidence-based approach to systematically and prospectively detect, improve, and evaluate actions related to patient safety.

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