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      Patient safety, satisfaction, and quality of hospital care: cross sectional surveys of nurses and patients in 12 countries in Europe and the United States

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          Abstract

          Objective To determine whether hospitals with a good organisation of care (such as improved nurse staffing and work environments) can affect patient care and nurse workforce stability in European countries.

          Design Cross sectional surveys of patients and nurses.

          Setting Nurses were surveyed in general acute care hospitals (488 in 12 European countries; 617 in the United States); patients were surveyed in 210 European hospitals and 430 US hospitals.

          Participants 33 659 nurses and 11 318 patients in Europe; 27 509 nurses and more than 120 000 patients in the US.

          Main outcome measures Nurse outcomes (hospital staffing, work environments, burnout, dissatisfaction, intention to leave job in the next year, patient safety, quality of care), patient outcomes (satisfaction overall and with nursing care, willingness to recommend hospitals).

          Results The percentage of nurses reporting poor or fair quality of patient care varied substantially by country (from 11% (Ireland) to 47% (Greece)), as did rates for nurses who gave their hospital a poor or failing safety grade (4% (Switzerland) to 18% (Poland)). We found high rates of nurse burnout (10% (Netherlands) to 78% (Greece)), job dissatisfaction (11% (Netherlands) to 56% (Greece)), and intention to leave (14% (US) to 49% (Finland, Greece)). Patients’ high ratings of their hospitals also varied considerably (35% (Spain) to 61% (Finland, Ireland)), as did rates of patients willing to recommend their hospital (53% (Greece) to 78% (Switzerland)). Improved work environments and reduced ratios of patients to nurses were associated with increased care quality and patient satisfaction. In European hospitals, after adjusting for hospital and nurse characteristics, nurses with better work environments were half as likely to report poor or fair care quality (adjusted odds ratio 0.56, 95% confidence interval 0.51 to 0.61) and give their hospitals poor or failing grades on patient safety (0.50, 0.44 to 0.56). Each additional patient per nurse increased the odds of nurses reporting poor or fair quality care (1.11, 1.07 to 1.15) and poor or failing safety grades (1.10, 1.05 to 1.16). Patients in hospitals with better work environments were more likely to rate their hospital highly (1.16, 1.03 to 1.32) and recommend their hospitals (1.20, 1.05 to 1.37), whereas those with higher ratios of patients to nurses were less likely to rate them highly (0.94, 0.91 to 0.97) or recommend them (0.95, 0.91 to 0.98). Results were similar in the US. Nurses and patients agreed on which hospitals provided good care and could be recommended.

          Conclusions Deficits in hospital care quality were common in all countries. Improvement of hospital work environments might be a relatively low cost strategy to improve safety and quality in hospital care and to increase patient satisfaction.

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          The association of registered nurse staffing levels and patient outcomes: systematic review and meta-analysis.

          To examine the association between registered nurse (RN) staffing and patient outcomes in acute care hospitals. Twenty-eight studies reported adjusted odds ratios of patient outcomes in categories of RN-to-patient ratio, and met inclusion criteria. Information was abstracted using a standardized protocol. Random effects models assessed heterogeneity and pooled data from individual studies. Increased RN staffing was associated with lower hospital related mortality in intensive care units (ICUs) [odds ratios (OR), 0.91; 95% confidence interval (CI), 0.86-0.96], in surgical (OR, 0.84; 95% CI, 0.80-0.89), and in medical patients (OR, 0.94; 95% CI, 0.94-0.95) per additional full time equivalent per patient day. An increase by 1 RN per patient day was associated with a decreased odds ratio of hospital acquired pneumonia (OR, 0.70; 95% CI, 0.56-0.88), unplanned extubation (OR, 0.49; 95% CI, 0.36-0.67), respiratory failure (OR, 0.40; 95% CI, 0.27-0.59), and cardiac arrest (OR, 0.72; 95% CI, 0.62-0.84) in ICUs, with a lower risk of failure to rescue (OR, 0.84; 95% CI, 0.79-0.90) in surgical patients. Length of stay was shorter by 24% in ICUs (OR, 0.76; 95% CI, 0.62-0.94) and by 31% in surgical patients (OR, 0.69; 95% CI, 0.55-0.86). Studies with different design show associations between increased RN staffing and lower odds of hospital related mortality and adverse patient events. Patient and hospital characteristics, including hospitals' commitment to quality of medical care, likely contribute to the actual causal pathway.
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            Factor structure of the Maslach burnout inventory: an analysis of data from large scale cross-sectional surveys of nurses from eight countries.

            Job burnout is an important predictor of nurse retention. Reliable and valid measures are required to monitor this phenomenon internationally. To evaluate the applicability of the Maslach burnout inventory (MBI) in international nursing research. Secondary analysis of cross-sectional hospital nurse survey data from eight countries. Hospitals in the U.S., Canada, the U.K., Germany, New Zealand, Japan, Russia and Armenia. 54,738 direct care professional nurses from 646 hospitals in eight countries. Confirmatory and exploratory factor analysis were undertaken to identify the factor structure of the MBI. The internal consistencies of the subscales were investigated. Exploratory factor analysis revealed three factors being extracted from the 22-item Maslach burnout inventory. In nearly all countries the two items (6 and 16) related to the "stress" and "strain" involved in working with people loaded on the depersonalization subscale rather than the emotional exhaustion subscale to which they were initially assigned. The three subscales exhibited high reliability with Cronbach alphas exceeding the critical value of 0.70. The correlation coefficients for the emotional exhaustion and depersonalization subscales were strong and positive. The 22-item Maslach burnout inventory has a similar factor structure and, with minor modifications, performed similarly across countries. The predictive validity of the emotional exhaustion and depersonalization subscales might be improved by moving the two items related to stress and strain from the emotional exhaustion to the depersonalization subscale. Nevertheless, the MBI can be used with confidence as a burnout measure among nurses internationally to determine the effectiveness of burnout reduction measures generated by institutional and national policies.
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              Outcomes of variation in hospital nurse staffing in English hospitals: cross-sectional analysis of survey data and discharge records.

              Despite growing evidence in the US, little evidence has been available to evaluate whether internationally, hospitals in which nurses care for fewer patients have better outcomes in terms of patient survival and nurse retention. To examine the effects of hospital-wide nurse staffing levels (patient-to-nurse ratios) on patient mortality, failure to rescue (mortality risk for patients with complicated stays) and nurse job dissatisfaction, burnout and nurse-rated quality of care. Cross-sectional analysis combining nurse survey data with discharge abstracts. Nurses (N=3984) and general, orthopaedic, and vascular surgery patients (N=118752) in 30 English acute trusts. Patients and nurses in the quartile of hospitals with the most favourable staffing levels (the lowest patient-to-nurse ratios) had consistently better outcomes than those in hospitals with less favourable staffing. Patients in the hospitals with the highest patient to nurse ratios had 26% higher mortality (95% CI: 12-49%); the nurses in those hospitals were approximately twice as likely to be dissatisfied with their jobs, to show high burnout levels, and to report low or deteriorating quality of care on their wards and hospitals. Nurse staffing levels in NHS hospitals appear to have the same impact on patient outcomes and factors influencing nurse retention as have been found in the USA.
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                Author and article information

                Contributors
                Role: professor and director
                Role: professor and director
                Role: health services research expert
                Role: professor
                Role: professor and director
                Role: professor
                Role: research fellow
                Role: professor
                Role: professor
                Role: director
                Role: professor
                Role: professor
                Role: professor
                Role: professor
                Role: head of education
                Role: senior researcher
                Role: researcher
                Role: senior researcher
                Role: professor and director
                Role: assistant professor
                Journal
                BMJ
                BMJ
                bmj
                BMJ : British Medical Journal
                BMJ Publishing Group Ltd.
                0959-8138
                1756-1833
                2012
                2012
                20 March 2012
                : 344
                : e1717
                Affiliations
                [1 ]Center for Health Outcomes and Policy Research, University of Pennsylvania School of Nursing, Philadelphia, PA 19104, USA
                [2 ]Centre for Health Services and Nursing Research, Catholic University Leuven, Leuven, Belgium
                [3 ]Department of Health Care Management, WHO Collaborating Centre for Health Systems, Research and Management, University of Technology Berlin, Berlin, Germany
                [4 ]Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK
                [5 ]Florence Nightingale School of Nursing and Midwifery, King’s College London, London
                [6 ]School of Health Sciences, University of Southampton, Southampton, UK
                [7 ]National Spanish Research Unit, Instituto de Salud Carlos III, Ministry of Science and Innovation, Madrid, Spain
                [8 ]Medical Management Centre, LIME, Karolinska Institutet, Stockholm, Sweden
                [9 ]School of Nursing, Dublin City University, Dublin, Ireland
                [10 ]Department of Internal Diseases and Community Nursing, Faculty of Health Care, Jagiellonian University Collegium Medicum, Krakow, Poland
                [11 ]Department of Health Policy and Management, University of Eastern Finland, Kuopio, Finland
                [12 ]Institute of Nursing Science, University of Basel, Basel, Switzerland
                [13 ]IQ Healthcare, Scientific Institute for Quality of Healthcare, Radboud University Medical Centre, Nijmegen, Netherlands
                [14 ]Laboratory of Health Informatics, Faculty of Nursing, National and Kapodistrian University of Athens, Athens, Greece
                [15 ]Norwegian Knowledge Centre for the Health Services, Oslo, Norway
                [16 ]Population Studies Center, Department of Sociology, University of Pennsylvania, Philadelphia
                [17 ]Belgian Healthcare Knowledge Centre, Brussels, Belgium
                Author notes
                Correspondence to: L H Aiken laiken@ 123456nursing.upenn.edu
                Article
                aikl000694
                10.1136/bmj.e1717
                3308724
                22434089
                96923d00-867e-4dd7-af00-d95e283f3f9c
                © Aiken et al 2012

                This is an open-access article distributed under the terms of the Creative Commons Attribution Non-commercial License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited, the use is non commercial and is otherwise in compliance with the license. See: http://creativecommons.org/licenses/by-nc/2.0/ and http://creativecommons.org/licenses/by-nc/2.0/legalcode.

                History
                : 25 January 2012
                Categories
                Research
                Patients
                Medical Error/ Patient Safety
                Quality Improvement

                Medicine
                Medicine

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