Urinary Incontinence in Hospitalised Elderly Patients: Do Nurses Recognise and Manage the Problem?

This study examined to what extent nurses recognize urinary incontinence (UI) in elderly hospital patients, what UI interventions nurses realize, and if elderly inpatients are willing to raise the topic during their hospital stay. A convenience sample of 78 elderly inpatients in a Swiss hospital were screened for UI and asked if they were willing to be questioned about UI during hospitalisation. Nursing records were analysed as to whether UI had been recognized, and to collect data on interventions. Forty-one patients (51%) screened positive for UI, of whom 10 (24%) were identified as such in their nursing records. The single intervention documented was the use of incontinence pads. Only 5 patients preferred not to be asked about UI at hospital. Nurses in the study hospital should systematically ask elderly patients about UI and provide them with information on interventions

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

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.; 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.; 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.; 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

Validity and reliability on three European language versions of the Safety Organizing Scale

Background: The Safety Organizing Scale (SOS) offers a reliable snapshot of nurses' engagement in unit-level safety behaviors in hospitals. As no comparable questionnaire exists in German, French and Italian, we explored the psychometric properties of SOS translations into each of those languages. Design and Methods: The psychometric properties of the nine-item SOS were tested according to American Educational Research Association guidelines. Subjects and Setting: Between October 2009 and June 2010, 1633 registered medical and/or surgical nurses in 35 Swiss hospitals completed translated SOS questionnaires. Results: For each translation, psychometric evaluation revealed evidence based on content (scale-content validity index >0.89), response patterns (e.g. average of missing values across all items = 0.80%), internal structure (e.g. comparative fit indices >0.90, root mean square error of approximation 0.79). We differentiated the scale regarding one related concept (implicit rationing of nursing care). Higher SOS scores correlated with supportive leadership and lower nurse-reported medication errors, but not with nurse-reported patient falls. Conclusions: The SOS offers a valuable measurement of engagement in safety practices that might influence patient outcomes. Initial evidence regarding the validity and reliability of the translated versions supports their use in German, French and Italian. Concurrent validity will require confirmation via further analysis using more reliable outcome measures (e.g. mortality rates). The translated versions' predictive validity needs to be established in prospective studies

How hospital leaders contribute to patient safety through the development of trust

The aim of this study was to explore the associations between hospital management support for patient safety, registered nurses' trust in hospital management, and their overall perception of patient safety, considering aspects of safety communication as possible mediating variables.; Limited research exists regarding how key elements of a patient safety culture, that is, leadership, safety communication, and trust, are interrelated.; This study used cross-sectional nurse survey data from 1,633 registered nurses working in 35 acute care hospitals participating in the Swiss arm of the RN4CAST (Nurse Forecasting in Europe) study.; A path analysis revealed that the indirect associations between "management support for patient safety" and "overall perception of patient safety" were more prominent than the direct association.; Our findings confirm that safety communication plays a partially mediating role between "management support for patient safety" and nursing professionals' assessments of patient safety. This suggests that hospital leader-unit exchanges might improve patient safety

Validity and reliability on three European language versions of the Safety Organizing Scale

Background The Safety Organizing Scale (SOS) offers a reliable snapshot of nurses' engagement in unit-level safety behaviors in hospitals. As no comparable questionnaire exists in German, French and Italian, we explored the psychometric properties of SOS translations into each of those languages. Design and Methods The psychometric properties of the nine-item SOS were tested according to American Educational Research Association guidelines. Subjects and Setting Between October 2009 and June 2010, 1633 registered medical and/or surgical nurses in 35 Swiss hospitals completed translated SOS questionnaires. Results For each translation, psychometric evaluation revealed evidence based on content (scale-content validity index >0.89), response patterns (e.g. average of missing values across all items = 0.80%), internal structure (e.g. comparative fit indices >0.90, root mean square error of approximation 0.79). We differentiated the scale regarding one related concept (implicit rationing of nursing care). Higher SOS scores correlated with supportive leadership and lower nurse-reported medication errors, but not with nurse-reported patient falls. Conclusions The SOS offers a valuable measurement of engagement in safety practices that might influence patient outcomes. Initial evidence regarding the validity and reliability of the translated versions supports their use in German, French and Italian. Concurrent validity will require confirmation via further analysis using more reliable outcome measures (e.g. mortality rates). The translated versions' predictive validity needs to be established in prospective studie

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

Addressing Patient Safety Hazards Using Critical Incident Reporting in Hospitals: A Systematic Review

Critical incident reporting systems (CIRS) are in use worldwide. They are designed to improve patient care by detecting and analyzing critical and adverse patient events and by taking corrective actions to prevent reoccurrence. Critical incident reporting systems have recently been criticized for their lack of effectiveness in achieving actual patient safety improvements. However, no overview yet exists of the reported incidents' characteristics, their communication within institutions, or actions taken either to correct them or to prevent their recurrence. Our main goals were to systematically describe the reported CIRS events and to assess the actions taken and their learning effects. In this systematic review of studies based on CIRS data, we analyzed the main types of critical incidents (CIs), the severity of their consequences, their contributing factors, and any reported corrective actions.; Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we queried MEDLINE, Embase, CINAHL, and Scopus for publications on hospital-based CIRS. We classified the consequences of the incidents according to the National Coordinating Council for Medication Error Reporting and Prevention index, the contributing factors according to the Yorkshire Contributory Factors Framework and the Human Factors Classification Framework, and all corrective actions taken according to an action hierarchy model on intervention strengths.; We reviewed 41 studies, which covered 479,483 CI reports from 212 hospitals in 17 countries. The most frequent type of incident was medication related (28.8%); the most frequent contributing factor was labeled "active failure" within health care provision (26.1%). Of all professions, nurses submitted the largest percentage (83.7%) of CI reports. Actions taken to prevent future CIs were described in 15 studies (36.6%). Overall, the analyzed studies varied considerably regarding methodology and focus.; This review of studies from hospital-based CIRS provides an overview of reported CIs' contributing factors, characteristics, and consequences, as well as of the actions taken to prevent their recurrence. Because only 1 in 3 studies reported on corrective actions within the healthcare facilities, more emphasis on such actions and learnings from CIRS is required. However, incomplete or fragmented reporting and communication cycles may additionally limit the potential value of CIRS. To make a CIRS a useful tool for improving patient safety, the focus must be put on its strength of providing new qualitative insights in unknown hazards and also on the development of tools to facilitate nomenclature and management CIRS events, including corrective actions in a more standardized manner

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

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.; 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.; 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).; 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

Variation in detected adverse events using trigger tools: A systematic review and meta-analysis

Adverse event (AE) detection is a major patient safety priority. However, despite extensive research on AEs, reported incidence rates vary widely.; This study aimed: (1) to synthesize available evidence on AE incidence in acute care inpatient settings using Trigger Tool methodology; and (2) to explore whether study characteristics and study quality explain variations in reported AE incidence.; Systematic review and meta-analysis.; To identify relevant studies, we queried PubMed, EMBASE, CINAHL, Cochrane Library and three journals in the patient safety field (last update search 25.05.2022). Eligible publications fulfilled the following criteria: adult inpatient samples; acute care hospital settings; Trigger Tool methodology; focus on specialty of internal medicine, surgery or oncology; published in English, French, German, Italian or Spanish. Systematic reviews and studies addressing adverse drug events or exclusively deceased patients were excluded. Risk of bias was assessed using an adapted version of the Quality Assessment Tool for Diagnostic Accuracy Studies 2. Our main outcome of interest was AEs per 100 admissions. We assessed nine study characteristics plus study quality as potential sources of variation using random regression models. We received no funding and did not register this review.; Screening 6,685 publications yielded 54 eligible studies covering 194,470 admissions. The cumulative AE incidence was 30.0 per 100 admissions (95% CI 23.9-37.5; I2 = 99.7%) and between study heterogeneity was high with a prediction interval of 5.4-164.7. Overall studies' risk of bias and applicability-related concerns were rated as low. Eight out of nine methodological study characteristics did explain some variation of reported AE rates, such as patient age and type of hospital. Also, study quality did explain variation.; Estimates of AE studies using trigger tool methodology vary while explaining variation is seriously hampered by the low standards of reporting such as the timeframe of AE detection. Specific reporting guidelines for studies using retrospective medical record review methodology are necessary to strengthen the current evidence base and to help explain between study variation

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