Article
Relationship between nursing workloads and patient safety incidents.
St. Luke's International Hospital, Tokyo, Japan;
Journal of Multidisciplinary Healthcare
01/2010;
3:49-54.
pp.49-54
Source: PubMed
- Citations (14)
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Cited In (0)
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Article: Learning from errors in nursing practice.
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ABSTRACT: Little attention is paid to the issue of errors in nursing practice. Staff are reluctant to discuss or publicize them. However, as clinical audit and quality management become more important and established in the health service, there is now a greater need to investigate and monitor the incidence of errors. The purpose of this study was to examine the causes and consequences of errors as well as the potential for errors to initiate changes in practice. One hundred and twenty-nine nurses answered a 22-item questionnaire relating to an error they had made. Nurses reported that the most common causes of errors were lack of knowledge or information, work overload, stressful atmosphere and lack of support from senior staff. Nurses were found to have recourse to a number of coping strategies in the aftermath of the error. Accepting responsibility and planful problem-solving were found to lead to positive changes in practice, whereas distancing and self-controlling strategies were associated with defensive changes, particularly with a tendency not to divulge the error. The findings also showed that errors had the potential to effect learning. The study suggests the need for staff to be encouraged to accept responsibility for their error within the framework of support. Strategies should be developed so that errors can be managed in a more constructive manner.Journal of Advanced Nursing 08/1997; 26(1):111-9. · 1.48 Impact Factor -
Article: Nurse working conditions and patient safety outcomes.
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ABSTRACT: System approaches, such as improving working conditions, have been advocated to improve patient safety. However, the independent effect of many working condition variables on patient outcomes is unknown. To examine effects of a comprehensive set of working conditions on elderly patient safety outcomes in intensive care units. Observational study, with patient outcome data collected using the National Nosocomial Infection Surveillance system protocols and Medicare files. Several measures of health status and fixed setting characteristics were used to capture distinct dimensions of patient severity of illness and risk for disease. Working condition variables included organizational climate measured by nurse survey; objective measures of staffing, overtime, and wages (derived from payroll data); and hospital profitability and magnet accreditation. The sample comprised 15,846 patients in 51 adult intensive care units in 31 hospitals depending on the outcome analyzed; 1095 nurses were surveyed. Central line associated bloodstream infections (CLBSI), ventilator-associated pneumonia, catheter-associated urinary tract infections, 30-day mortality, and decubiti. Units with higher staffing had lower incidence of CLBSI, ventilator-associated pneumonia, 30-day mortality, and decubiti (P <or= 0.05). Increased overtime was associated with higher rates of catheter-associated urinary tract infections and decubiti, but slightly lower rates of CLBSI (P <or= 0.05). The effects of organizational climate and profitability were not consistent. Nurse working conditions were associated with all outcomes measured. Improving working conditions will most likely promote patient safety. Future researchers and policymakers should consider a broad set of working condition variables.Medical Care 07/2007; 45(6):571-8. · 3.41 Impact Factor -
Article: Falls among older persons: a public health perspective.
Annual Review of Public Health 02/1992; 13:489-508. · 5.45 Impact Factor
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Keywords
95% confidence interval
December 31st
general hospital
Greater nursing workloads
hospitals
incident reports
incidents
inpatient wards
intensive care unit
internal medicine wards
July 1st
nursing workloads
patient safety incidents
patients' dependency
positive trend
relationships
retrospective data analysis
teaching hospital
total patient dependency score
wards