Setting new priorities for nursing research: The updated Swiss Nursing Research Agenda-a systematic, participative approach.

AIM: To identify current key areas for nursing research in Switzerland, we revised the Swiss Research Agenda for Nursing (SRAN) initially published in 2008. BACKGROUND: By developing a research agenda, nursing researchers internationally prioritize and cluster relevant topics within the research community. The process should be collaborative and systematic to provide credible information for decisionmakers in health care research, policy, and practice. SOURCES OF EVIDENCE: After a participative, systematic, and critical evaluation within and outside of the Swiss Association for Nursing Science, the updated SRAN 2019-2029 defines four research priorities (new models of care, nursing care interventions, work and care environment, and quality of care and patient safety) and four transversal themes (organization of research, research methodologies, research in health care policy and public health perspectives). CONCLUSION: Adding to other national nursing research agendas, the categories are organized in a framework of key research priorities and transversal themes. They relate to the importance of global and local foci of research as well as challenges in health care services and policy systems. The agenda is an important prerequisite for enhancing the influence of nursing research in Switzerland and provides guidance for the next decade. IMPLICATIONS FOR NURSING PRACTICE: The revised agenda ensures that research projects target key knowledge gaps and the discipline's core questions in respective countries. IMPLICATIONS FOR HEALTH POLICY: Nursing research should inform and influence health policy on all institutional and political levels. Therefore, the integration of public health perspectives in research is one of the most important new aspects of SRAN 2019-2029.

Implementation fidelity of a multifactorial in-hospital fall prevention program and its association with unit systems factors: a single center, cross-sectional study.

BACKGROUND: Falls are a common, costly global public health burden. In hospitals, multifactorial fall prevention programs have proved effective in reducing falls' incidence; however, translating those programs accurately into daily clinical practice remains challenging. This study's aim was to identify ward-level system factors associated with implementation fidelity to a multifactorial fall prevention program (StuPA) targeting hospitalized adult patients in an acute care setting. METHODS: This retrospective cross-sectional study used administrative data on 11,827 patients admitted between July and December 2019 to 19 acute care wards at the University Hospital Basel, Switzerland, as well as data on the StuPA implementation evaluation survey conducted in April 2019. Data were analysed using descriptive statistics, Pearson's coefficients and linear regression modelling for variables of interest. RESULTS: The patient sample had an average age of 68 years and a median length of stay of 8.4 (IQR: 2.1) days. The mean care dependency score was 35.4 points (ePA-AC scale: from 10 points (totally dependent) to 40 points (totally independent)); the mean number of transfers per patient -(e.g., change of room, admission, discharge) was 2.6 (range: 2.4- 2.8). Overall, 336 patients (2.8%) experienced at least one fall, resulting in a rate of 5.1 falls per 1'000 patient days. The median inter-ward StuPA implementation fidelity was 80.6% (range: 63.9-91.7%). We found the mean number of inpatient transfers during hospitalisation and the mean ward-level patient care dependency to be statistically significant predictors of StuPA implementation fidelity. CONCLUSION: Wards with higher care dependency and patient transfer levels showed higher implementation fidelity to the fall prevention program. Therefore, we assume that patients with the highest fall prevention needs received greater exposure to the program. For the StuPA fall prevention program, our results suggest a need for implementation strategies contextually adapted to the specific characteristics of the target wards and patients.

The effect of time-varying capacity utilization on 14-day in-hospital mortality: a retrospective longitudinal study in Swiss general hospitals.

BACKGROUND: High bed-occupancy (capacity utilization) rates are commonly thought to increase in-hospital mortality; however, little evidence supports a causal relationship between the two. This observational study aimed to assess three time-varying covariates-capacity utilization, patient turnover and clinical complexity level- and to estimate causal effect of time-varying high capacity utilization on 14 day in-hospital mortality. METHODS: This retrospective population-based analysis was based on routine administrative data (n = 1,152,506 inpatient cases) of 102 Swiss general hospitals. Considering the longitudinal nature of the problem from available literature and expert knowledge, we represented the underlying data generating mechanism as a directed acyclic graph. To adjust for patient turnover and patient clinical complexity levels as time-varying confounders, we fitted a marginal structure model (MSM) that used inverse probability of treatment weights (IPTWs) for high and low capacity utilization. We also adjusted for patient age and sex, weekdays-vs-weekend, comorbidity weight, and hospital type. RESULTS: For each participating hospital, our analyses evaluated the ≥85th percentile as a threshold for high capacity utilization for the higher risk of mortality. The mean bed-occupancy threshold was 83.1% (SD 8.6) across hospitals and ranged from 42.1 to 95.9% between hospitals. For each additional day of exposure to high capacity utilization, our MSM incorporating IPTWs showed a 2% increase in the odds of 14-day in-hospital mortality (OR 1.02, 95% CI: 1.01 to 1.03). CONCLUSIONS: Exposure to high capacity utilization increases the mortality risk of inpatients. Accurate monitoring of capacity utilization and flexible human resource planning are key strategies for hospitals to lower the exposure to high capacity utilization.

Comparing Charlson and Elixhauser comorbidity indices with different weightings to predict in-hospital mortality: an analysis of national inpatient data.

BACKGROUND: Understanding how comorbidity measures contribute to patient mortality is essential both to describe patient health status and to adjust for risks and potential confounding. The Charlson and Elixhauser comorbidity indices are well-established for risk adjustment and mortality prediction. Still, a different set of comorbidity weights might improve the prediction of in-hospital mortality. The present study, therefore, aimed to derive a set of new Swiss Elixhauser comorbidity weightings, to validate and compare them against those of the Charlson and Elixhauser-based van Walraven weights in an adult in-patient population-based cohort of general hospitals. METHODS: Retrospective analysis was conducted with routine data of 102 Swiss general hospitals (2012-2017) for 6.09 million inpatient cases. To derive the Swiss weightings for the Elixhauser comorbidity index, we randomly halved the inpatient data and validated the results of part 1 alongside the established weighting systems in part 2, to predict in-hospital mortality. Charlson and van Walraven weights were applied to Charlson and Elixhauser comorbidity indices. Derivation and validation of weightings were conducted with generalized additive models adjusted for age, gender and hospital types. RESULTS: Overall, the Elixhauser indices, c-statistic with Swiss weights (0.867, 95% CI, 0.865-0.868) and van Walraven's weights (0.863, 95% CI, 0.862-0.864) had substantial advantage over Charlson's weights (0.850, 95% CI, 0.849-0.851) and in the derivation and validation groups. The net reclassification improvement of new Swiss weights improved the predictive performance by 1.6% on the Elixhauser-van Walraven and 4.9% on the Charlson weights. CONCLUSIONS: All weightings confirmed previous results with the national dataset. The new Swiss weightings model improved slightly the prediction of in-hospital mortality in Swiss hospitals. The newly derive weights support patient population-based analysis of in-hospital mortality and seek country or specific cohort-based weightings.

Effect of barcode technology on medication preparation safety: a quasi-experimental study.

BACKGROUND: Medication errors are a common problem in hospitals and a major driver of adverse patient outcomes. Barcode verification technology is a promising strategy to help ensure safe medication preparation practices. OBJECTIVES: The objectives of this study were (i) to assess the effects of a barcode-assisted medication preparation and administration system regarding the rate of medication preparation errors and (ii) to compare the time spent on medication preparation tasks by medical staff. METHODS: A quasi-experimental study with a pre-post design was conducted, from August 2017 to July 2018, in two mixed medical/surgical units of a tertiary teaching hospital. The primary aim was to assess the effects of a barcode-based electronically assisted medication preparation and administration system linked to the hospital's electronic medication administration record regarding the rate of medication preparation errors and time-based staff performance. Data were collected using direct observation. Adjusted and unadjusted logistic models were used for error frequencies and linear regression models for time performance. RESULTS: 5932 instances of medication selection and dosing during 79 medication preparation procedures were observed. The overall medication preparation error incidence decreased from 9.9% at baseline to 4.5% at post-intervention, corresponding to a relative risk reduction of 54.5% (P < 0.001). However, the adjusted effect by registered nurses (RNs) and nurses' work experience of total medication preparation errors showed only borderline significance (odds ratio [OR] 0.64, P = 0.051). For adjusted error-specific analyses, significant error reductions were found in wrong medication errors (OR 0.38, P < 0.010) and wrong dosage errors (OR 0.12, P = 0.004). Wrong patient, wrong form and ambiguous dispenser errors did not occur at post-intervention. Errors of omission (OR 1.53, P = 0.17), additional doses (OR 0.63, P = 0.64) and wrong dispenser boxes (OR 0.51, P = 0.11) did not change significantly. The time necessary to prepare medications for a 24-h period also decreased significantly-from 30.2 min to 17.2 min (beta = -6.5, P = 0.047), while mean preparation time per individual medication dose fell from 24.3 s to 15.1 s (beta = -5.0, P = 0.002). CONCLUSION: Use of the new barcode technology significantly reduced the rate of some medication preparation errors in our sample. Moreover, the time necessary for medication preparation, both per 24-h period and per single-medication dose, was significantly reduced.

Variation of Daily Care Demand in Swiss General Hospitals: Longitudinal Study on Capacity Utilization, Patient Turnover and Clinical Complexity Levels.

BACKGROUND: Variations in hospitals' care demand relies not only on the patient volume but also on the disease severity. Understanding both daily severity and patient volume in hospitals could help to identify hospital pressure zones to improve hospital-capacity planning and policy-making. OBJECTIVE: This longitudinal study explored daily care demand dynamics in Swiss general hospitals for 3 measures: (1) capacity utilization, (2) patient turnover, and (3) patient clinical complexity level. METHODS: A retrospective population-based analysis was conducted with 1 year of routine data of 1.2 million inpatients from 102 Swiss general hospitals. Capacity utilization was measured as a percentage of the daily maximum number of inpatients. Patient turnover was measured as a percentage of the daily sum of admissions and discharges per hospital. Patient clinical complexity level was measured as the average daily patient disease severity per hospital from the clinical complexity algorithm. RESULTS: There was a pronounced variability of care demand in Swiss general hospitals. Among hospitals, the average daily capacity utilization ranged from 57.8% (95% CI 57.3-58.4) to 87.7% (95% CI 87.3-88.0), patient turnover ranged from 22.5% (95% CI 22.1-22.8) to 34.5% (95% CI 34.3-34.7), and the mean patient clinical complexity level ranged from 1.26 (95% CI 1.25-1.27) to 2.06 (95% CI 2.05-2.07). Moreover, both within and between hospitals, all 3 measures varied distinctly between days of the year, between days of the week, between weekdays and weekends, and between seasons. CONCLUSIONS: While admissions and discharges drive capacity utilization and patient turnover variation, disease severity of each patient drives patient clinical complexity level. Monitoring-and, if possible, anticipating-daily care demand fluctuations is key to managing hospital pressure zones. This study provides a pathway for identifying patients' daily exposure to strained hospital systems for a time-varying causal model.

The German version of the high-performance work systems questionnaire (HPWS-G) in the context of patient safety: a validation study in a Swiss university hospital.

BACKGROUND: High performance work systems (HPWSs) are successful work systems in the context of safety climate and patient safety. The 10-item HPWS questionnaire is a validated instrument developed to assess existing HPWS structures in hospitals. The objectives of this cross-sectional study were to translate the English HPWS questionnaire into German (HPWS-G), to rate its content validity, and to examine its psychometric properties. METHODS: Content validity was examined by a panel of 12 physicians and nurses, and I-CVI and S-CVI calculated. For internal consistency, Cronbach's α and item-scale correlations were determined. Construct validity was measured via confirmatory factor analysis. A convenience sample of 782 nurses and physicians in a University hospital setting in Switzerland's German-speaking region was surveyed. Four inclusion criteria were applied: working in intensive care, emergency department or operating room; having daily patient contact; having worked in the current clinical area for more than three months; and more than 40% employment. RESULTS: A total of 281 questionnaires were completed (response rate: 35.9%). Overall, the 10-item HPWS-G questionnaire showed good content validity (I-CVI = .83-1; S-CVI = .86) and internal consistency (Cronbach's α = .853). HPWS-G scores correlated significantly with safety climate (rs = .657, p < .01) and teamwork climate (rs = .615, p < .01). The proposed 1-factor model was accepted considering results of applied minimum rank factor analysis; a confirmatory factor analysis indicated an acceptable to good model fit (GFI = .968; CFI = .902; RMSEA = .043). CONCLUSIONS: The HPWS-G showed good psychometric properties. In clinical practice it can be used to assess HPWS practices and for intra- and inter-hospital benchmarking. Some minor adaptions to the wording could be made as well as reassessing the psychometric properties at other clinical sites.

A master of nursing science curriculum revision for the 21st century - a progress report.

BACKGROUND: Preparing a 21st century nursing workforce demands future-oriented curricula that address the population's evolving health care needs. With their advanced clinical skill sets and broad scope of practice, Advanced Practice Nurses strengthen healthcare systems by providing expert care, especially to people who are older and/or have chronic diseases. Bearing this in mind, we revised our established Master of Nursing Science curriculum at the University of Basel, Switzerland. METHODS: Guided by the Advanced Nursing Practice framework, interprofessional guidelines, fundamental reports on the future of health care and the Bologna declaration, the reform process included three interrelated phases: preparation (work packages (WPs): curriculum analysis, alumni survey), revision (WPs: program accreditation, learning outcomes), and regulations (WPs: legal requirements, program launch). RESULTS: The redesigned MScN curriculum offers two specializations: ANP and research. It was implemented in the 2014 fall semester. CONCLUSIONS: This curriculum reform's strategic approach and step-by-step processes demonstrate how, beginning with a solid conceptual basis, congruent logical steps allowed development of a program that prepares nurses for new professional roles within innovative models of care.

[Safety Walk Rounds - Clinical unit visits with a focus on patient safety]. / Sicherheitsrundgänge ­ Abteilungsbesuche mit Fokus auf die Patientensicherheit.

Safety Walk Rounds - Clinical unit visits with a focus on patient safety Abstract. Background: Safety Walk Rounds are a promising strategy to promote the safety culture and optimising patient safety. The purpose of this study was to explore patient safety attributes in various clinical areas including recommendations for improvement and leadership support. Methods: Safety Walk Rounds were conducted by the chief patient safety officer based on a structured questions format to open patient safety dialogues with clinicians at the ward level. Field notes were utilized for thematic analyses and topic categorization. Results: A total of 187 clinicians (64 % nursing staff, 19 % physicians, 17 % other health care professionals) participated on the Safety Walk Rounds. The discussion findings are presented in five categories: Events & circumstances (potentially) harmful for patients; safety culture; need for local action, as well as the need for leadership support to provide safe care. Conclusion and outlook: Safety Walk Rounds across the hospitals' clinical areas delivered insight into patient safety issues and safety culture with its caregiver's engagement to provide safe care as well as action points for future improvement including leadership support.

The occurrence, types, consequences and preventability of in-hospital adverse events - a scoping review.

BACKGROUND: Adverse events (AEs) seriously affect patient safety and quality of care, and remain a pressing global issue. This study had three objectives: (1) to describe the proportions of patients affected by in-hospital AEs; (2) to explore the types and consequences of observed AEs; and (3) to estimate the preventability of in-hospital AEs. METHODS: We applied a scoping review method and concluded a comprehensive literature search in PubMed and CINAHL in May 2017 and in February 2018. Our target was retrospective medical record review studies applying the Harvard method-or similar methods using screening criteria-conducted in acute care hospital settings on adult patients (≥18 years). RESULTS: We included a total of 25 studies conducted in 27 countries across six continents. Overall, a median of 10% patients were affected by at least one AE (range: 2.9-21.9%), with a median of 7.3% (range: 0.6-30%) of AEs being fatal. Between 34.3 and 83% of AEs were considered preventable (median: 51.2%). The three most common types of AEs reported in the included studies were operative/surgical related, medication or drug/fluid related, and healthcare-associated infections. CONCLUSIONS: Evidence regarding the occurrence of AEs confirms earlier estimates that a tenth of inpatient stays include adverse events, half of which are preventable. However, the incidence of in-hospital AEs varied considerably across studies, indicating methodological and contextual variations regarding this type of retrospective chart review across health care systems. For the future, automated methods for identifying AE using electronic health records have the potential to overcome various methodological issues and biases related to retrospective medical record review studies and to provide accurate data on their occurrence.

Trigger Tool-Based Automated Adverse Event Detection in Electronic Health Records: Systematic Review.

BACKGROUND: Adverse events in health care entail substantial burdens to health care systems, institutions, and patients. Retrospective trigger tools are often manually applied to detect AEs, although automated approaches using electronic health records may offer real-time adverse event detection, allowing timely corrective interventions. OBJECTIVE: The aim of this systematic review was to describe current study methods and challenges regarding the use of automatic trigger tool-based adverse event detection methods in electronic health records. In addition, we aimed to appraise the applied studies' designs and to synthesize estimates of adverse event prevalence and diagnostic test accuracy of automatic detection methods using manual trigger tool as a reference standard. METHODS: PubMed, EMBASE, CINAHL, and the Cochrane Library were queried. We included observational studies, applying trigger tools in acute care settings, and excluded studies using nonhospital and outpatient settings. Eligible articles were divided into diagnostic test accuracy studies and prevalence studies. We derived the study prevalence and estimates for the positive predictive value. We assessed bias risks and applicability concerns using Quality Assessment tool for Diagnostic Accuracy Studies-2 (QUADAS-2) for diagnostic test accuracy studies and an in-house developed tool for prevalence studies. RESULTS: A total of 11 studies met all criteria: 2 concerned diagnostic test accuracy and 9 prevalence. We judged several studies to be at high bias risks for their automated detection method, definition of outcomes, and type of statistical analyses. Across all the 11 studies, adverse event prevalence ranged from 0% to 17.9%, with a median of 0.8%. The positive predictive value of all triggers to detect adverse events ranged from 0% to 100% across studies, with a median of 40%. Some triggers had wide ranging positive predictive value values: (1) in 6 studies, hypoglycemia had a positive predictive value ranging from 15.8% to 60%; (2) in 5 studies, naloxone had a positive predictive value ranging from 20% to 91%; (3) in 4 studies, flumazenil had a positive predictive value ranging from 38.9% to 83.3%; and (4) in 4 studies, protamine had a positive predictive value ranging from 0% to 60%. We were unable to determine the adverse event prevalence, positive predictive value, preventability, and severity in 40.4%, 10.5%, 71.1%, and 68.4% of the studies, respectively. These studies did not report the overall number of records analyzed, triggers, or adverse events; or the studies did not conduct the analysis. CONCLUSIONS: We observed broad interstudy variation in reported adverse event prevalence and positive predictive value. The lack of sufficiently described methods led to difficulties regarding interpretation. To improve quality, we see the need for a set of recommendations to endorse optimal use of research designs and adequate reporting of future adverse event detection studies.

Matching Registered Nurse services with changing care demands (MatchRN ): study protocol of a natural experiment multi-centre study.

AIM: The aim of this study was to examine how patient safety indicators and processes and structures of nursing care have changed since the 2012 introduction of Swiss Diagnosis-Related Groups. BACKGROUND: Diagnosis-Related Groups have been implemented worldwide; yet, research findings regarding their impact on efficiency and quality of care remain inconsistent. The Matching Registered Nurse Services with Changing Care Demands study will assess how structures, processes and patient and nurse outcomes have changed in Swiss acute care hospitals since the introduction of Swiss Diagnosis-Related Groups. DESIGN: A multi-centre observational study nested in a natural experiment. METHODS: To explore the effect of implementing Diagnosis-Related Groups in Switzerland we will compare nurse and patient survey data from 2010 with data from 2015 and eventually from 2017. Initially, we will match survey data from 78 medical and surgical units of 21 hospitals that participated in 2010 and 2015. Study variables related to structures and processes of nursing care (e.g. staffing/skill mix level, nurse work environment, rationing of nursing care), as well as patient and nurse outcomes, were assessed with well-established instruments. In 2017, a follow-up survey will be conducted to explore long-term implications. Furthermore, 6 years' medical and surgical patient discharge data (collected 2010-2015) will be analysed to assess changes in the severity of patient illness, length of stay and selected patient safety indicators. DISCUSSION: This study's results will provide evidence regarding Diagnosis-Related Groups influences on Swiss nursing services and patient safety outcomes.

Are nursing home care workers' health and presenteeism associated with implicit rationing of care? A cross-sectional multi-site study.

To explore associations between care workers' health and implicit rationing of care. Diverse studies have linked impaired health to reduced work performance - a factor measured through omission of required tasks. This cross-sectional study gathered data from 3239 care workers in 162 Swiss nursing homes. Data were analyzed via a linear logistic regression model using general estimating equations. Overall, rationing of care occurred "never" to "seldom." Rationing of activities of daily living was positively associated with care workers' joint pain (ß 0.04, CI 0.001-0.07), emotional exhaustion (ß 0.11, CI 0.07-0.15), and presenteeism (ß 0.05, CI 0.004-0.09). Rationing of caring, rehabilitation, and monitoring was positively associated with care workers' joint pain (ß 0.05, CI 0.01-0.09) and emotional exhaustion (ß 0.2, CI 1.16-0.24). Care workers health complaints are strongly associated with rationing of tasks directly related to resident care.

Absenteeism and Presenteeism among Care Workers in Swiss Nursing Homes and Their Association with Psychosocial Work Environment: A Multi-Site Cross-Sectional Study.

BACKGROUND: Worker productivity is central to the success of organizations such as healthcare institutions. However, both absenteeism and presenteeism impair that productivity. While various hospital studies have examined the prevalence of presenteeism and absenteeism and its associated factors among care workers, evidence from nursing home settings is scarce. OBJECTIVE: To explore care workers' self-reported absenteeism and presenteeism in relation to nursing homes' psychosocial work environment factors. METHODS: We performed a cross-sectional study utilizing survey data of 3,176 professional care workers in 162 Swiss nursing homes collected between May 2012 and April 2013. A generalized estimating equation ordinal logistic regression model was used to explore associations between psychosocial work environment factors (leadership, staffing resources, work stressors, affective organizational commitment, collaboration with colleagues and supervisors, support from other personnel, job satisfaction, job autonomy) and self-reported absenteeism and presenteeism. RESULTS: Absenteeism and presenteeism were observed in 15.6 and 32.9% of care workers, respectively. While absenteeism showed no relationship with the work environment, low presenteeism correlated with high leadership ratings (odds ratio [OR] 1.22, 95% confidence interval [CI] 1.01-1.48) and adequate staffing resources (OR 1.18, 95% CI 1.02-1.38). CONCLUSION: Self-reported presenteeism is more common than absenteeism in Swiss nursing homes, and leadership and staffing resource adequacy are significantly associated with presenteeism, but not with absenteeism.

Framework for Evaluating the Impact of Advanced Practice Nursing Roles.

PURPOSE: To address the gap in evidence-based information required to support the development of advanced practice nursing (APN) roles in Switzerland, stakeholders identified the need for guidance to generate strategic evaluation data. This article describes an evaluation framework developed to inform decisions about the effective utilization of APN roles across the country. APPROACH: A participatory approach was used by an international group of stakeholders. Published literature and an evidenced-based framework for introducing APN roles were analyzed and applied to define the purpose, target audiences, and essential elements of the evaluation framework. Through subsequent meetings and review by an expert panel, the framework was developed and refined. FINDINGS: A framework to evaluate different types of APN roles as they evolve to meet dynamic population health, practice setting, and health system needs was created. It includes a matrix of key concepts to guide evaluations across three stages of APN role development: introduction, implementation, and long-term sustainability. For each stage, evaluation objectives and questions examining APN role structures, processes, and outcomes from different perspectives (e.g., patients, providers, managers, policy-makers) were identified. CONCLUSIONS: A practical, robust framework based on well-established evaluation concepts and current understanding of APN roles can be used to conduct systematic evaluations. CLINICAL RELEVANCE: The evaluation framework is sufficiently generic to allow application in developed countries globally, both for evaluation as well as research purposes.

Evidence on the validity and reliability of the German, French and Italian nursing home version of the Basel Extent of Rationing of Nursing Care instrument.

AIM: To develop and test psychometrically the Basel Extent of Rationing of Nursing Care for Nursing Homes instrument, providing initial evidence on the validity and reliability of the German, French and Italian-language versions. BACKGROUND: In the hospital setting, implicit rationing of nursing care is defined as the withholding of nursing activities due to lack of resources, such as staffing or time. No instrument existed to measure this concept in nursing homes. DESIGN: Cross-sectional study. METHODS: We developed the instrument in three phases: (1) adaption and translation; (2) content validity testing; and (3) initial validity and reliability testing. For phase 3, we analysed survey data from 4748 care workers collected between May 2012-April 2013 from a randomly selected sample of 162 nursing homes in the German-, French- and Italian-speaking regions of Switzerland to provide evidence from response processes (e.g. missing), internal structure (exploratory factor analysis), inter-item inconsistencies (e.g. Cronbach's alpha) and interscorer differences (e.g. within-group agreement). RESULTS: Exploratory factor analysis revealed a four-factor structure with good fit statistics. Rationing of nursing care was structured in four domains: (1) activities of daily living; (2) caring, rehabilitation and monitoring; (3) documentation; and (4) social care. Items of the social care subscale showed lower content validity and more missing values than items of other subscales. CONCLUSION: First evidence indicates that the new instrument can be recommended for research and practice to measure implicit rationing of nursing care in nursing homes. Further refinements of single items are needed.

Factors associated with high job satisfaction among care workers in Swiss nursing homes - a cross sectional survey study.

BACKGROUND: While the relationship between nurses' job satisfaction and their work in hospital environments is well known, it remains unclear, which factors are most influential in the nursing home setting. The purpose of this study was to describe job satisfaction among care workers in Swiss nursing homes and to examine its associations with work environment factors, work stressors, and health issues. METHODS: This cross-sectional study used data from a representative national sample of 162 Swiss nursing homes including 4,145 care workers from all educational levels (registered nurses, licensed practical nurses, nursing assistants and aides). Care worker-reported job satisfaction was measured with a single item. Explanatory variables were assessed with established scales, as e.g. the Practice Environment Scale - Nursing Work Index. Generalized Estimating Equation (GEE) models were used to examine factors related to job satisfaction. RESULTS: Overall, 36.2 % of respondents reported high satisfaction with their workplace, while another 50.4 % were rather satisfied. Factors significantly associated with high job satisfaction were supportive leadership (OR = 3.76), better teamwork and resident safety climate (OR = 2.60), a resonant nursing home administrator (OR = 2.30), adequate staffing resources (OR = 1.40), fewer workplace conflicts (OR = .61), less sense of depletion after work (OR = .88), and fewer physical health problems (OR = .91). CONCLUSIONS: The quality of nursing home leadership-at both the unit supervisor and the executive administrator level-was strongly associated with care workers' job satisfaction. Therefore, recruitment strategies addressing specific profiles for nursing home leaders are needed, followed by ongoing leadership training. Future studies should examine the effects of interventions designed to improve nursing home leadership and work environments on outcomes both for care staff and for residents.

Nurse staffing and education and hospital mortality in nine European countries: a retrospective observational study.

BACKGROUND: Austerity measures and health-system redesign to minimise hospital expenditures risk adversely affecting patient outcomes. The RN4CAST study was designed to inform decision making about nursing, one of the largest components of hospital operating expenses. We aimed to assess whether differences in patient to nurse ratios and nurses' educational qualifications in nine of the 12 RN4CAST countries with similar patient discharge data were associated with variation in hospital mortality after common surgical procedures. METHODS: For this observational study, we obtained discharge data for 422,730 patients aged 50 years or older who underwent common surgeries in 300 hospitals in nine European countries. Administrative data were coded with a standard protocol (variants of the ninth or tenth versions of the International Classification of Diseases) to estimate 30 day in-hospital mortality by use of risk adjustment measures including age, sex, admission type, 43 dummy variables suggesting surgery type, and 17 dummy variables suggesting comorbidities present at admission. Surveys of 26,516 nurses practising in study hospitals were used to measure nurse staffing and nurse education. We used generalised estimating equations to assess the effects of nursing factors on the likelihood of surgical patients dying within 30 days of admission, before and after adjusting for other hospital and patient characteristics. FINDINGS: An increase in a nurses' workload by one patient increased the likelihood of an inpatient dying within 30 days of admission by 7% (odds ratio 1·068, 95% CI 1·031-1·106), and every 10% increase in bachelor's degree nurses was associated with a decrease in this likelihood by 7% (0·929, 0·886-0·973). These associations imply that patients in hospitals in which 60% of nurses had bachelor's degrees and nurses cared for an average of six patients would have almost 30% lower mortality than patients in hospitals in which only 30% of nurses had bachelor's degrees and nurses cared for an average of eight patients. INTERPRETATION: Nurse staffing cuts to save money might adversely affect patient outcomes. An increased emphasis on bachelor's education for nurses could reduce preventable hospital deaths. FUNDING: European Union's Seventh Framework Programme, National Institute of Nursing Research, National Institutes of Health, the Norwegian Nurses Organisation and the Norwegian Knowledge Centre for the Health Services, Swedish Association of Health Professionals, the regional agreement on medical training and clinical research between Stockholm County Council and Karolinska Institutet, Committee for Health and Caring Sciences and Strategic Research Program in Care Sciences at Karolinska Institutet, Spanish Ministry of Science and Innovation.

How to identify and recruit nurses to a survey 14 and 24 years after graduation in a context of scarce data: lessons learnt from the 2012 nurses at work pilot study on nurses' career paths.

BACKGROUND: Nursing workforce data are scarce in Switzerland, with no active national registry of nurses. The worldwide nursing shortage is also affecting Switzerland, so that evidence-based results of the nurses at work project on career paths and retention are needed as part of the health care system stewardship; nurses at work is a retrospective cohort study of nurses who graduated in Swiss nursing schools in the last 30 years. Results of the pilot study are presented here (process and feasibility). The objectives are (1) to determine the size and structure of the potential target population by approaching two test-cohorts of nursing graduates (1988 and 1998); (2) to test methods of identifying and reaching them 14 and 24 years after graduation; (3) to compute participation rates, and identify recruitment and participation biases. METHODS: Graduates' names were retrieved from 26 Swiss nursing schools: 488 nurses from the 1988 cohort and 597 from 1998 were invited to complete a web-based questionnaire. Initial updated addresses (n = 278, seed sample) were found using the Swiss Nursing Association member file. In addition, a snowball method was applied for recruitment, where directly-contacted respondents provided additional names of graduate mates or sent them the invitation. The study was further advertized through the main employers, study partners, and a press release. RESULTS: Participation rate was 26.5% (n = 287), higher for the older cohort of 1988 (29.7%, n = 145) than for 1998 (15.6%, n = 93). Additional nurses (n = 363) not belonging to the test cohorts also answered. All schools were represented among respondents. Only 18 respondents (6%) worked outside nursing or not at all. Among respondents, 94% would 'probably' or 'maybe' agree to participate in the main study. CONCLUSION: The pilot study demonstrated that targeted nurses could be identified and approached. There is an overwhelming interest in the project from them and from policymakers. Recommendations to increase nurses' participation rate for nurses at work include: (1) to open nurses at work recruitment to all nurses in Switzerland, while recreating cohorts post-hoc for relevant analysis; (2) to define a comprehensive communication strategy with special attention to graduate nurses who are harder to reach.