Frequencies of falls in Swiss hospitals: Concordance between nurses’ estimates and fall incident reports

Cina-Tschumi, Barbara; Schubert, Maria; Kressig, Reto W.; Geest, Sabina De; Schwendimann, René

doi:10.1016/j.ijnurstu.2008.09.008

Cited by 28 publications

(25 citation statements)

References 33 publications

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“…Nevertheless, at least one study building upon of the RICH Nursing study is currently underway to test the validity of nurse reported data against hospital patient outcome records. In one such study, nurse-reported patient fall data for a 1-year period and official fall incident reports for the same period were significantly correlated, for both falls with and without injury (Cina-Tschumi et al, 2008). However, further validation of nurse reports as measures of incidents is needed.…”

Section: Discussionmentioning

confidence: 99%

Identifying thresholds for relationships between impacts of rationing of nursing care and nurse- and patient-reported outcomes in Swiss hospitals: A correlational study

Schubert

Clarke

Glass

et al. 2009

International Journal of Nursing Studies

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111

122

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Background-In the Rationing of Nursing Care in Switzerland Study, implicit rationing of care was the only factor consistently significantly associated with all six studied patient outcomes. These results highlight the importance of rationing as a new system factor regarding patient safety and quality of care. Since at least some rationing of care appears inevitable, it is important to identify the thresholds of its influences in order to minimize its negative effects on patient outcomes.

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Section: Discussionmentioning

confidence: 99%

Identifying thresholds for relationships between impacts of rationing of nursing care and nurse- and patient-reported outcomes in Swiss hospitals: A correlational study

Schubert

Clarke

Glass

et al. 2009

International Journal of Nursing Studies

Self Cite

111

122

View full text Add to dashboard Cite

show abstract

“…However, the cross-sectional design of the study makes it impossible to establish that the 2 variables are causally related. Although nurses in previous studies were reliable reporters of patients’ outcomes 23,25 and quality of patient care, 24 nurses’ reports are not infallible. Unfortunately, administrative data on actual incidences of HAIs were not available for the hospitals in our study to corroborate or use in place of the nurse reports.…”

Section: Limitationsmentioning

confidence: 93%

“…Outcomes were categorized as frequent if nurses reported that the event occurred more than once a month. Previous research 23-25 has indicated that nurses are reliable reporters of patient safety and patient safety outcomes.…”

Section: Methodsmentioning

confidence: 99%

The Critical Care Work Environment and Nurse-Reported Health Care-Associated Infections

Kelly¹,

Kutney‐Lee²,

Lake³

et al. 2013

American Journal of Critical Care

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Background Critically ill patients are susceptible to health care–associated infections because of their illnesses and the need for intravenous access and invasive monitoring. The critical care work environment may influence the likelihood of infection in these patients. Objective To determine whether or not the critical care nurse work environment is predictive of nurse-reported health care–associated infections. Methods A retrospective, cross-sectional design was used with linked nurse and hospital survey data. Nurses assessed the critical care work environment and provided the frequencies of ventilator-associated pneumonias, urinary tract infections, and infections associated with central catheters. Logistic regression models were used to determine if critical care work environments were predictive of nurse-reported frequent health care–associated infections, with controls for nurse and hospital characteristics. Results The final sample consisted of 3217 critical care nurses in 320 hospitals. Compared with nurses working in poor work environments, nurses working in better work environments were 36% to 41% less likely to report that health care–associated infections occurred frequently. Conclusion Health care–associated infections are less likely in favorable critical care work environments. These findings, based on the largest sample of critical care nurses to date, substantiate efforts to focus on the quality of the work environment as a way to minimize the frequency of health care–associated infections.

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“…Nurse ratings of quality of nursing care provide related yet distinct information about patient outcomes when compared with statistics derived from hospital discharge databases [32]. The following measures of quality of nursing care from reports on the nurse survey items were created: (1) nurses' reports of the quality of nursing care on their unit, on their last shift, and changes in the quality of nursing care over the last year; (2) readiness of patients for discharge; (3) estimate of the frequency of a variety of adverse events involving themselves and their patients (e.g.…”

Section: Methodsmentioning

confidence: 99%

Nurse forecasting in Europe (RN4CAST): Rationale, design and methodology

et al. 2011

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BackgroundCurrent human resources planning models in nursing are unreliable and ineffective as they consider volumes, but ignore effects on quality in patient care. The project RN4CAST aims innovative forecasting methods by addressing not only volumes, but quality of nursing staff as well as quality of patient care.Methods/DesignA multi-country, multilevel cross-sectional design is used to obtain important unmeasured factors in forecasting models including how features of hospital work environments impact on nurse recruitment, retention and patient outcomes. In each of the 12 participating European countries, at least 30 general acute hospitals were sampled. Data are gathered via four data sources (nurse, patient and organizational surveys and via routinely collected hospital discharge data). All staff nurses of a random selection of medical and surgical units (at least 2 per hospital) were surveyed. The nurse survey has the purpose to measure the experiences of nurses on their job (e.g. job satisfaction, burnout) as well as to allow the creation of aggregated hospital level measures of staffing and working conditions. The patient survey is organized in a sub-sample of countries and hospitals using a one-day census approach to measure the patient experiences with medical and nursing care. In addition to conducting a patient survey, hospital discharge abstract datasets will be used to calculate additional patient outcomes like in-hospital mortality and failure-to-rescue. Via the organizational survey, information about the organizational profile (e.g. bed size, types of technology available, teaching status) is collected to control the analyses for institutional differences.This information will be linked via common identifiers and the relationships between different aspects of the nursing work environment and patient and nurse outcomes will be studied by using multilevel regression type analyses. These results will be used to simulate the impact of changing different aspects of the nursing work environment on quality of care and satisfaction of the nursing workforce.DiscussionRN4CAST is one of the largest nurse workforce studies ever conducted in Europe, will add to accuracy of forecasting models and generate new approaches to more effective management of nursing resources in Europe.

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Frequencies of falls in Swiss hospitals: Concordance between nurses’ estimates and fall incident reports

Cited by 28 publications

References 33 publications

Identifying thresholds for relationships between impacts of rationing of nursing care and nurse- and patient-reported outcomes in Swiss hospitals: A correlational study

Identifying thresholds for relationships between impacts of rationing of nursing care and nurse- and patient-reported outcomes in Swiss hospitals: A correlational study

The Critical Care Work Environment and Nurse-Reported Health Care-Associated Infections

Nurse forecasting in Europe (RN4CAST): Rationale, design and methodology

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