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.

Nursing care left undone in psychiatric hospitals and its association with nurse staffing: A cross-sectional multi-centre study in Switzerland.

INTRODUCTION: Nursing care left undone occurs when nurses omit activities because of resource shortfalls. Higher levels of nursing care left undone are associated with worse nurse staffing and organizational factors. Plentiful evidence from acute, long-term and community care supports such associations; however, mental healthcare settings are under-studied. AIM: The aim of the study was to describe nursing care left undone's frequency in mental health inpatient settings and explore its association with nurse staffing levels. METHOD: As part of the multi-centre cross-sectional MatchRN Psychiatry study, data were collected by questionnaire from 114 units in 13 Swiss psychiatric hospitals. Nursing care left undone was analysed describing frequencies descriptively and used linear mixed models to assess its association with staffing. RESULTS: Data from 994 nurses were analysed. The most commonly omitted activities were evaluating nursing processes (30.5%), formulating nursing diagnoses (27.4%) and defining care objectives (22.7%). Nursing care left undone was higher in units with low staffing levels. DISCUSSION: As in somatic care settings, in psychiatric hospitals, 'indirect' care activities are most commonly omitted. IMPLICATIONS FOR PRACTICE: This study highlights factors affecting the frequency of nursing care left undone, including staffing levels and perceived leadership. The findings emphasize the importance of nurse managers taking action to improve work environment factors.

Work-schedule management in psychiatric hospitals and its associations with nurses' emotional exhaustion and intention to leave: A cross-sectional multicenter study.

BACKGROUND: Managing nurses' work schedules in hospitals is challenging because employer needs, like shift changes at short notice and overtime, may conflict with nurses' desires for a predictable and stable schedule. Nurses should have a certain degree of control over their work schedules, and their supervisors should support their needs in scheduling. How perceived control over work schedules, perceived support from supervisors in scheduling, shift changes at short notice, and overtime affect nurses' emotional exhaustion and intentions to leave has not been studied. OBJECTIVES: The aims are (1) to describe perceived control, perceived supervisor support, shift changes at short notice, and overtime among nurses in psychiatric hospitals; (2) to assess the variation of these four factors between units at psychiatric hospitals; and (3) to investigate the association between these factors with nurses' emotional exhaustion and intentions to leave. DESIGN: Cross-sectional survey study. SETTING(S): Swiss psychiatric hospitals with 24-hour services. PARTICIPANTS: Registered nurses (N = 994) from 114 adult-inpatient units. METHODS: To describe perceived control, perceived supervisor support, shift changes at short notice, and overtime among nurses, we calculated frequencies, percentages, means, and standard deviations of their responses to the survey. To assess the variation between units, we computed intraclass correlations for the four factors. We constructed random-effects models accounting for the clustering of nurses in units for emotional exhaustion and intentions to leave separately. RESULTS: Perception of work-schedule control was 3.32 (SD 1.39, range 0-5); perception of supervisor work-schedule support was 3.28 (SD 1.14, range 0-4). On average, 9 % of the nurses had to take over a shift at short notice at least three times per month, and 40 % worked at least 15 minute overtime on their most recent shift. Intraclass correlation for all four factors was higher than 0.05. Emotional exhaustion was significantly associated with supervisor support and overtime, and leaving intentions were significantly associated with perceived control, supervisor support and overtime. CONCLUSION: Perceived control, perceived supervisor support, shift changes at short notice, and overtime are promising factors for interventions to prevent nurses' emotional exhaustion and allay their intentions to leave. Unit managers should provide nurses with increased predictability and influence on their work schedules. This could reduce early career endings and early retirement and counteract nurse shortages.

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.

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

INTRODUCTION: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

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.

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

BACKGROUND: Adverse event (AE) detection is a major patient safety priority. However, despite extensive research on AEs, reported incidence rates vary widely. OBJECTIVE: 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. DESIGN: Systematic review and meta-analysis. METHODS: 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. RESULTS: 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. CONCLUSION: 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.

Occurrence of No-Harm Incidents and Adverse Events in Hospitalized Patients with Ischemic Stroke or TIA: A Cohort Study Using Trigger Tool Methodology.

Adverse events (AEs)-healthcare caused events leading to patient harm or even death-are common in healthcare. Although it is a frequently investigated topic, systematic knowledge on this phenomenon in stroke patients is limited. To determine cumulative incidence of no-harm incidents and AEs, including their severity and preventability, a cohort study using trigger tool methodology for retrospective record review was designed. The study was carried out in a stroke center at a university hospital in the German speaking part of Switzerland. Electronic records from 150 randomly selected patient admissions for transient ischemic attack (TIA) or ischemic stroke, with or without acute recanalization therapy, were used. In total, 170 events (108 AEs and 62 no-harm incidents) were identified, affecting 83 patients (55.3%; 95% CI 47 to 63.4), corresponding to an event rate of 113 events/100 admissions or 142 events/1000 patient days. The three most frequent AEs were ischemic strokes (n = 12, 7.1%), urinary tract infections (n = 11, 6.5%) and phlebitis (n = 10, 5.9%). The most frequent no-harm incidents were medication events (n = 37, 21.8%). Preventability ranged from 12.5% for allergic reactions to 100% for medication events and pressure ulcers. Most of the events found (142; 83.5%; 95% CI 76.9 to 88.6) occurred throughout the whole stroke care. The remaining 28 events (16.5%; 95% CI 11.4 to 23.1) were detected during stroke care but were related to care outside the stroke pathway. Trigger tool methodology allows detection of AEs and no-harm incidents, showing a frequent occurrence of both event types in stroke and TIA patients. Further investigations into events' relationships with organizational systems and processes will be needed, first to achieve a better understanding of these events' underlying mechanisms and risk factors, then to determine efforts needed to improve patient safety.

Critical incident reporting over time: a retrospective, descriptive analysis of 5493 cases.

PURPOSE: As recommended by the WHO and many national healthcare authorities, health care institutions of most industrialised countries have employed a critical incident reporting system (CIRS). However, little is known about differences in critical incidents across clinical specialties, the use of CIRSs amongst different professional groups, the types, severity and risk of reoccurrence of critical incidents, their contributing factors and the preventive actions taken in response. METHODS: In this retrospective, descriptive study we critically reviewed all reports filed in the CIRS of our institution between 2013 and 2019 and analysed characteristics over time. RESULTS: Of the 5493 analysed incidents, the main types were related to medications (32.8%), clinical procedures (32.6%) or behaviour of employees (23.3%). Only 21.6% of reports were made by physicians, 51.3% were rated at least "high risk". Major contributing factors were personal factors (44.0%), lack of training and knowledge (43.7%) and communication errors (36.1%). Most actions taken to prevent similar events aimed at improving communications (23.6%); in 46.3% no actions whatsoever were taken. Longitudinal analysis revealed that reporting increased in internal medicine and obstetrics but collapsed in laboratory medicine / microbiology. Steady increases in medication-type incidents as well as lack of training and knowledge as contributing factors were observed. CONCLUSION: This study revealed that the efferent loop (feedback, preventive actions taken) was the weakest part of the CIRS in our institution, indicating that no learning may have resulted from a large number of reports. In particular, the actions taken appeared to not adequately address the major contributing factors. This highlights that special attention must be paid to the efferent loop of a CIRS to fulfil the purpose of such a reporting system and ultimately to improve patient safety.

Changes in Safety and Teamwork Climate After Adding Structured Observations to Patient Safety WalkRounds.

BACKGROUND: Patient safety is essential for the reliable delivery of health care. One way to positively influence patient safety is to improve the safety and teamwork climate of a clinical area. Research shows that patient safety WalkRounds (WRs) are an appropriate and common method to improve safety culture. The aim of this study was to combine WRs with observations of specific patient safety dimensions and to measure the safety and teamwork climate. METHODS: In this observational study, WRs took place in eight work settings across a 770-bed university hospital in Switzerland. During rounds, health care workers (HCWs) were observed in relation to defined patient safety dimensions. In addition, HCWs were surveyed using safety and teamwork climate scales before the initial WRs and six to nine months later, and implementation of planned improvement actions following the WRs was evaluated. RESULTS: During WRs, 810 activities of HCWs were observed, of which 85.4% met the requirements for safe care. Safety and teamwork climate did not change significantly after nine months. A total of 36 action plan items were planned to address safety deficits that surfaced during WRs, but only 40.7% of the action items had been implemented after nine months. CONCLUSION: WRs with structured in-person observations identified safe care practices and deficits in patient safety. Improvement action plans to address safety deficits were not fully implemented nine months later, and there were no significant changes in the safety and teamwork climate at that time.

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.

Matching Registered Nurse Services With Changing Care Demands in Psychiatric Hospitals: Protocol for a Multicenter Observational Study (MatchRN Psychiatry Study).

BACKGROUND: The quality of care is often poorly assessed in mental health settings, and accurate evaluation requires the monitoring and comparison of not only the outcomes but also the structures and processes. The resulting data allow hospital administrators to compare their patient outcome data against those reported nationally. As Swiss psychiatric hospitals are planned and coordinated at the cantonal level, they vary considerably. In addition, nursing care structures and processes, such as nurse staffing, are only reported and aggregated at the national level, whereas nurse outcomes, such as job satisfaction or intention to leave, have yet to be assessed in Swiss psychiatric hospitals. Because they lack these key figures, psychiatric hospitals' quality of care cannot be reasonably described. OBJECTIVE: This study's purpose is to describe health care quality by exploring hospital structures such as nurse staffing and the work environment; processes such as the rationing of care; nurse outcomes, including job satisfaction and work-life balance; and patients' symptom burden. METHODS: MatchRN Psychiatry is a multicenter observational study of Swiss psychiatric hospitals. The sample for this study included approximately 1300 nurses from 113 units of 13 psychiatric hospitals in Switzerland's German-speaking region. In addition, routine patient assessment data from each participating hospital were included. The nurse survey consisted of 164 items covering three dimensions-work environment, patient safety climate, and the rationing of care. The unit-level questionnaire included 57 items, including the number of beds, number of nurses, and nurses' education levels. Routine patient data included items such as main diagnosis, the number and duration of freedom-restrictive measures, and symptom burden at admission and discharge. Data were collected between September 2019 and June 2021. The data will be analyzed descriptively by using multilevel regression linear mixed models and generalized linear mixed models to explore associations between variables of interest. RESULTS: The response rate from the nurse survey was 71.49% (1209/1691). All data are currently being checked for consistency and plausibility. The MatchRN Psychiatry study is funded by the participating psychiatric hospitals and the Swiss Psychiatric Nursing Leaders Association (Vereinigung Pflegekader Psychiatrie Schweiz). CONCLUSIONS: For the first time, the MatchRN Psychiatry study will systematically evaluate the quality of care in psychiatric hospitals in Switzerland in terms of organizational structures, processes, and patient and nurse outcomes. The participating psychiatric hospitals will benefit from findings that are relevant to the future planning of nurse staffing. The findings of this study will contribute to improvement strategies for nurses' work environments and patient experiences in Swiss psychiatric hospitals. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/26700.

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.

[Safety-II in daily clinical practice]. / Safety-II im stationären Krankenhausalltag.

BACKGROUND: Providing patient safety is a central matter in health care requiring complex treatment processes containing many risks. In hospital care, adverse events and patient harm occur frequently. In this context, the safety sciences investigate causes and contributing factors of such events as well as improvement measures. With Safety-I and Safety-II, two complementary approaches come into play. While Safety-I aims to minimize adverse events, the Safety-II approach focuses on understanding the system as a whole whose normal operations can result in both desired and adverse events. With the implementation of the Critical Incident Report System (CIRS), the Safety-I approach (with a focus on errors and correction of negative consequences for patient safety) has become an integral part of the university hospital chosen for this study. The subject matter of this study is to determine if and how the Safety-II approach (focussing on normal operation and the understanding of positive effects for patient safety) is already in use and what measurements can support its integration in daily clinical practice. METHOD: Through observation, the structures of daily feedback meetings (huddles) from six different hospital departments have been gathered to determine if they can be considered as potential starting points for the implementation of the Safety-II approach. The following expert interviews (n=7) discussed four potentials of the Safety-II approach using the Resilient Assessment Grid (RAG). Finally, a focus group discussed which measurements are central for the integration of the Safety-II approach in daily clinical practice. RESULTS: The study shows that department teams partially follow the Safety-II approach. During team huddles, positive experiences are already exchanged. The expert interviews revealed that the RAG potentials respond, learn and anticipate have already been realized satisfactorily while the potential monitor fell behind. The focus groups regard the Safety-II approach more as a matter of corporate culture and less as a paradigm shift which is needed to be integrated into day-to-day business. DISCUSSION: Successfully establishing the Safety-II approach requires a focus not just on unwanted occurrences. It is also necessary to focus on the often not directly apparent desired occurrences, which ensure patient safety, and to systematically reflect on them in order to contribute to the development of the organizational culture. Having a better understanding of how the system of daily clinical practice with all its subsystems works will make it possible to proactively counteract unwanted occurrences, for example through regular feedback sessions and debriefings, and to increase patient safety.

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.

A Transactional "Second-Victim" Model-Experiences of Affected Healthcare Professionals in Acute-Somatic Inpatient Settings: A Qualitative Metasynthesis.

BACKGROUND: "Second victims" are healthcare professionals traumatized by involvement in significant adverse events. Associated burdens, e.g., guilt, can impair professional performance, thereby endangering patient safety. To date, however, a model of second victims' experiences toward a deeper understanding of qualitative studies is missing. Therefore, we aimed to identify, describe, and interpret these experiences in acute-somatic inpatient settings. METHODS: This qualitative metasynthesis reflects a systematic literature search of PubMed, CINAHL, and PsycINFO, extended by hand searches and expert consultations. Two researchers independently evaluated qualitative studies in German and English, assessing study quality via internationally approved criteria. Results were analyzed inductively and aggregated quantitatively. RESULTS: Based on 19 qualitative studies (explorative-descriptive: n = 13; grounded theory: n = 3; phenomenology: n = 3), a model of second-victim experience was drafted. This depicts a multistage developmental process: in appraising their situation, second victims focus on their involvement in an adverse event, and they become traumatized. To restore their integrity, they attempt to understand the event and to act accordingly; however, their reactions are commonly emotional and issue focused. Outcomes include leaving the profession, surviving, or thriving. This development process is alternately modulated by safety culture and healthcare professionals. CONCLUSIONS: For the first time, this model works systematically from the second-victim perspective based on qualitative studies. Based on our findings, we recommend integrating second victims' experiences into safety culture and root-cause analyses. Our transactional model of second-victim experience provides a foundation for strategies to maintain and improve patient safety.

Development and Implementation of an e-Trigger Tool for Adverse Drug Events in a Swiss University Hospital.

PURPOSE: The purpose of the study was to develop and implement an institution-specific trigger tool based on the Institute for Healthcare Improvement medication module trigger tool (IHI MMTT) in order to detect and monitor ADEs. METHODS: We performed an investigator-driven, single-center study using retrospective and prospective patient data to develop ("development phase") and implement ("implementation phase") an efficient, institution-specific trigger tool based on the IHI MMTT. Complete medical data from 1008 patients hospitalized in 2018 were used in the development phase. ADEs were identified by chart review. The performance of two versions of the tool was assessed by comparing their sensitivities and specificities. Tool A employed only digitally extracted triggers ("e-trigger-tool") while Tool B employed an additional manually extracted trigger. The superior tool - taking efficiency into account - was applied prospectively to 19-22 randomly chosen charts per month for 26 months during the implementation phase. RESULTS: In the development phase, 189 (19%) patients had ≥1 ADE (total 277 ADEs). The time needed to identify these ADEs was 15 minutes/chart. A total of 203 patients had ≥1 trigger (total 273 triggers - Tool B). The sensitivities and specificities of Tools A and B were 0.41 and 0.86, and 0.43 and 0.86, respectively. Tool A was more time-efficient than Tool B (4 vs 9 minutes/chart) and was therefore used in the implementation phase. During the 26-month implementation phase, 22 patients experienced trigger-identified ADEs and 529 did not. The median number of ADEs per 1000 patient days was 6 (range 0-13). Patients with at least one ADE had a mean hospital stay of 22.3 ± 19.7 days, compared to 8.0 ± 7.6 days for those without an ADE (p = 2.7×10-14). CONCLUSION: We developed and implemented an e-trigger tool that was specific and moderately sensitive, gave consistent results and required minimal resources.

Supporting health professionals after an adverse event in Swiss hospitals: a cross-sectional study.

STUDY AIM: The aim of this study was to identify the prevalence of organisational structures and processes for the support of second victims in Swiss hospitals. METHODS: To identify institutional policies and support for health professionals who have been involved in an adverse patient event and become traumatised from the event, also called second victims, we conducted a cross-sectional, multicentre survey study. We targeted Swiss acute care, university and psychiatric hospitals, as well as rehabilitation and speciality clinics. A 13-item questionnaire was used to collect information from hospital quality managers regarding their institutions’ policies and support practices with respect to second victims. Data were analysed using descriptive statistics. RESULTS: Overall, respondents from 116 hospitals completed the questionnaire (response rate 50.2%). Most institutional respondents reported both that they would like to receive information about adverse events and that their institutions offer related support. Of participating institutions, 60% indicated that they actively inform their personnel about second-victim support possibilities; however, only 31% specifically train supervisory personnel to deliver that support, and only 32% have hospital-specific guidelines in place for second victim support. University, acute care and speciality clinics were more likely to use such guidelines than psychiatric and rehabilitation clinics. Analysis indicated an association between hospital size and the existence of guidelines. CONCLUSIONS: In Swiss hospitals, second victim support is generally prevalent, but often in an unstructured way. This lack of methodology increases the risk that, following adverse events, both the quantity and quality of support provided to health professionals will be insufficient. A firm commitment on the part of institutional leaders to implement related policies could foster the adoption of high-quality second victim guidelines in Swiss hospitals.