Drug-drug interactions with oral anticoagulants: information consistency assessment of three commonly used online drug interactions databases in Switzerland.

Background: Toxicity or treatment failure related to drug-drug interactions (DDIs) are known to significantly affect morbidity and hospitalization rates. Despite the availability of numerous databases for DDIs identification and management, their information often differs. Oral anticoagulants are deemed at risk of DDIs and a leading cause of adverse drug events, most of which being preventable. Although many databases include DDIs involving anticoagulants, none are specialized in them. Aim and method: This study aims to compare the DDIs information content of four direct oral anticoagulants and two vitamin K antagonists in three major DDI databases used in Switzerland: Lexi-Interact, Pharmavista, and MediQ. It evaluates the consistency of DDIs information in terms of differences in severity rating systems, mechanism of interaction, extraction and documentation processes and transparency. Results: This study revealed 2'496 DDIs for the six anticoagulants, with discrepant risk classifications. Only 13.2% of DDIs were common to all three databases. Overall concordance in risk classification (high, moderate, and low risk) was slight (Fleiss' kappa = 0.131), while high-risk DDIs demonstrated a fair agreement (Fleiss' kappa = 0.398). The nature and the mechanism of the DDIs were more consistent across databases. Qualitative assessments highlighted differences in the documentation process and transparency, and similarities for availability of risk classification and references. Discussion: This study highlights the discrepancies between three commonly used DDI databases and the inconsistency in how terminology is standardised and incorporated when classifying these DDIs. It also highlights the need for the creation of specialised tools for anticoagulant-related interactions.

A digital health algorithm to guide antibiotic prescription in pediatric outpatient care: a cluster randomized controlled trial.

Excessive antibiotic use and antimicrobial resistance are major global public health threats. We developed ePOCT+, a digital clinical decision support algorithm in combination with C-reactive protein test, hemoglobin test, pulse oximeter and mentorship, to guide health-care providers in managing acutely sick children under 15 years old. To evaluate the impact of ePOCT+ compared to usual care, we conducted a cluster randomized controlled trial in Tanzanian primary care facilities. Over 11 months, 23,593 consultations were included from 20 ePOCT+ health facilities and 20,713 from 20 usual care facilities. The use of ePOCT+ in intervention facilities resulted in a reduction in the coprimary outcome of antibiotic prescription compared to usual care (23.2% versus 70.1%, adjusted difference -46.4%, 95% confidence interval (CI) -57.6 to -35.2). The coprimary outcome of day 7 clinical failure was noninferior in ePOCT+ facilities compared to usual care facilities (adjusted relative risk 0.97, 95% CI 0.85 to 1.10). There was no difference in the secondary safety outcomes of death and nonreferred secondary hospitalizations by day 7. Using ePOCT+ could help address the urgent problem of antimicrobial resistance by safely reducing antibiotic prescribing. Clinicaltrials.gov Identifier: NCT05144763.

Potentially avoidable hospitalizations and socioeconomic status in Switzerland: A small area-level analysis.

The Swiss healthcare system is well known for the quality of its healthcare and population health but also for its high cost, particularly regarding out-of-pocket expenses. We conduct the first national study on the association between socioeconomic status and access to community-based ambulatory care (CBAC). We analyze administrative and hospital discharge data at the small area level over a four-year time period (2014 - 2017). We develop a socioeconomic deprivation indicator and rely on a well-accepted indicator of potentially avoidable hospitalizations as a measure of access to CBAC. We estimate socioeconomic gradients at the national and cantonal levels with mixed effects models pooled over four years. We compare gradient estimates among specifications without control variables and those that include control variables for area geography and physician availability. We find that the most deprived area is associated with an excess of 2.80 potentially avoidable hospitalizations per 1,000 population (3.01 with control variables) compared to the least deprived area. We also find significant gradient variation across cantons with a difference of 5.40 (5.54 with control variables) between the smallest and largest canton gradients. Addressing broader social determinants of health, financial barriers to access, and strengthening CBAC services in targeted areas would likely reduce the observed gap.

Validity of 16 AHRQ Patient Safety Indicators to identify in-hospital complications: a medical record review across nine Swiss hospitals.

The validity of the Agency for Healthcare Research and Quality's Patient Safety Indicators (PSIs) has been established in the USA and Canada. However, these indicators are also used for hospital benchmarking and cross-country comparisons in other nations with different health-care settings and coding systems as well as missing present on admission (POA) flags in the administrative data. This study sought to comprehensively assess and compare the validity of 16 PSIs in Switzerland, where they have not been previously applied. We performed a medical record review using administrative and electronic medical record data from nine Swiss hospitals. Seven independent reviewers evaluated 1245 cases at various hospitals using retrospective data from the years 2014-18. True positives, false positives, positive predictive values (PPVs), and reasons for misclassification were compared across all investigated PSIs, and the documentation quality of the PSIs was examined. PSIs 6 (iatrogenic pneumothorax), 10 (postoperative acute kidney injury), 11 (postoperative respiratory failure), 13 (postoperative sepsis), 14 (wound dehiscence), 17 (birth trauma), and 18 and 19 (obstetric trauma with or without instrument) showed high PPVs (range: 90-99%) and were not strongly influenced by missing POA information. In contrast, PSIs 3 (pressure ulcer), 5 (retained surgical item), 7 (central venous catheter-related bloodstream infection), 8 (fall with hip fracture), and 15 (accidental puncture/laceration) showed low PPVs (range: 18-49%). In the case of PSIs 3, 8, and 12 (perioperative embolism/thrombosis), the low PPVs were largely due to the lack of POA information. Additionally, it was found that the documentation of PSI 3 in discharge letters could be improved. We found large differences in validity across the 16 PSIs in Switzerland. These results can guide policymakers in Switzerland and comparable health-care systems in selecting and prioritizing suitable PSIs for quality initiatives. Furthermore, the national introduction of a POA flag would allow for the inclusion of additional PSIs in quality monitoring.

Facing the COVID-19 Pandemic: A Mixed-Method Analysis of Asylum Seekers' Experiences and Worries in the Canton of Vaud, Switzerland.

Objectives: The clinical and social burden of the COVID-19 pandemic were high among asylum seekers (ASs). We aimed to understand better ASs' experiences of the pandemic and their sources of worries. Methods: Participants (n = 203) completed a survey about their worries, sleep disorders, and fear of dying. We also conducted semi-structured interviews with ASs living in a community center (n = 15), focusing on how social and living conditions affected their experiences and worries. Results: ASs in community centers experienced more sleep disorders related to the COVID-19 pandemic than those living in private apartments (aOR 2.01, p = 0.045). Similarly, those with lower education had greater fear for their life due to the COVID-19 pandemic (aOR 2.31, p = 0.015). Qualitative findings showed that sharing living spaces was an important source of worries for ASs and that protective measures were perceived to increase social isolation. Conclusion: Our study highlighted the impact of the COVID-19 pandemic for ASs and the importance of tailoring public health measures to their needs and living conditions.

Sepsis awareness and knowledge amongst nurses, physicians and paramedics of a tertiary care center in Switzerland: A survey-based cross-sectional study.

BACKGROUND: Sepsis is a leading cause of morbidity and mortality. Prompt recognition and management are critical to improve outcomes. METHODS: We conducted a survey among nurses and physicians of all adult departments of the Lausanne University Hospital (LUH) and paramedics transporting patients to our hospital. Measured outcomes included professionals' demographics (age, profession, seniority, unit of activity), quantification of prior sepsis education, self-evaluation, and knowledge of sepsis epidemiology, definition, recognition, and management. Correlation between surveyed personnel and sepsis perceptions and knowledge were assessed with univariable and multivariable logistic regression models. RESULTS: Between January and October 2020, we contacted 1'216 of the 4'417 professionals (27.5%) of the LUH, of whom 1'116 (91.8%) completed the survey, including 619 of 2'463 (25.1%) nurses, 348 of 1'664 (20.9%) physicians and 149 of 290 (51.4%) paramedics. While 98.5% of the participants were familiar with the word "sepsis" (97.4% of nurses, 100% of physicians and 99.3% of paramedics), only 13% of them (physicians: 28.4%, nurses: 5.9%, paramedics: 6.8%) correctly identified the Sepsis-3 consensus definition. Similarly, only 48% and 49.3% of the physicians and 10.1% an 11.9% of the nurses knew that SOFA was a sepsis defining score and that the qSOFA score was a predictor of increased mortality, respectively. Furthermore, 15.8% of the physicians and 1.0% of the nurses knew the three components of the qSOFA score. For patients with suspected sepsis, 96.1%, 91.6% and 75.8% of physicians respectively chose blood cultures, broad-spectrum antibiotics and fluid resuscitation as therapeutic interventions to be initiated within 1 (76.4%) to 3 (18.2%) hours. For nurses and physicians, recent training correlated with knowledge of SOFA score (ORs [95%CI]: 3.956 [2.018-7.752] and 2.617 [1.527-4.485]) and qSOFA (ORs [95%CI]: 5.804 [2.653-9.742] and 2.291 [1.342-3.910]) scores purposes. Furthermore, recent training also correlated with adequate sepsis definition (ORs [95%CI]: 1.839 [1.026-3.295]) and the components of qSOFA (ORs [95%CI]: 2.388 [1.110-5.136]) in physicians. CONCLUSIONS: This sepsis survey conducted among physicians, nurses and paramedics of a tertiary Swiss medical center identified a deficit of sepsis awareness and knowledge reflecting a lack of sepsis-specific continuing education requiring immediate corrective measures.

Asylum Seekers' Responses to Government COVID-19 Recommendations: A Cross-sectional Survey in a Swiss Canton.

Asylum seekers face multiple language, cultural and administrative barriers that could result in the inappropriate implementation of COVID-19 measures. This study aimed to explore their knowledge and attitudes to recommendations about COVID-19. We conducted a cross-sectional survey among asylum seekers living in the canton of Vaud, Switzerland. We used logistic regressions to analyze associations between knowledge about health recommendations, the experience of the pandemic and belief to rumors, and participant sociodemographic characteristics. In total, 242 people participated in the survey, with 63% of men (n = 150) and a median age of 30 years old (IQR 23-40). Low knowledge was associated with linguistic barriers (aOR 0.36, 95% CI 0.14-0.94, p = 0.028) and living in a community center (aOR 0.43, 95% CI 0.22-0.85, p = 0.014). Rejected asylum seekers were more likely to believe COVID-19 rumors (aOR 2.81, 95% CI 1.24-6.36, p = 0.013). This survey underlines the importance of tailoring health recommendations and interventions to reach asylum seekers, particularly those living in community centers or facing language barriers.

Identifying common patterns of health services use: a longitudinal study of older Swiss adults' care trajectories.

BACKGROUND: Population ageing puts pressure on health systems initially designed to handle acute and episodic illnesses. Segmenting an ageing population based on its healthcare utilization may enable policymakers to undertake evidence-based resource planning. We aimed to derive a typology of healthcare utilization trajectories in Swiss older adults. METHODS: Our work used data from the Lc65 + study, a population-based cohort of individuals aged 65 to 70 years at enrolment. The dimensions of healthcare utilization considered were ambulatory care, emergency care, hospitalizations, professional home care and nursing home stay. We applied the Sequence Analysis framework, within which we quantified the variation between each multidimensional pair of sequences, implemented a clustering procedure that grouped together older persons with similar profiles of health services use, and characterized clusters of individuals using selected baseline covariates. RESULTS: Healthcare utilization trajectories were analysed for 2271 community-dwelling older adults over a period of 11 years. Six homogeneous subgroups were identified: constant low utilization (83.3% of participants), increased utilization (4.9%), late health deterioration (4.4%), ambulatory care to nursing home (1.5%), early fatal event (3.8%) and high ambulatory care (2.1%). Associations were found between cluster membership and age, sex, household composition, self-perceived health, grip strength measurement, comorbidities, and functional dependency. CONCLUSIONS: The heterogeneous healthcare utilization profiles can be clustered into six common patterns. Different manifestations of functional decline were apparent in two distinct trajectory groups featuring regular home care use. Furthermore, a small proportion of individuals with a unique set of characteristics was related to the highest levels of ambulatory and emergency care use. New research avenues are outlined to investigate time-varying effects of health factors inside the clusters containing most unfavourable outcomes.

Automatic Detection of Adverse Drug Events in Geriatric Care: Study Proposal.

BACKGROUND: One-third of older inpatients experience adverse drug events (ADEs), which increase their mortality, morbidity, and health care use and costs. In particular, antithrombotic drugs are among the most at-risk medications for this population. Reporting systems have been implemented at the national, regional, and provider levels to monitor ADEs and design prevention strategies. Owing to their well-known limitations, automated detection technologies based on electronic medical records (EMRs) are being developed to routinely detect or predict ADEs. OBJECTIVE: This study aims to develop and validate an automated detection tool for monitoring antithrombotic-related ADEs using EMRs from 4 large Swiss hospitals. We aim to assess cumulative incidences of hemorrhages and thromboses in older inpatients associated with the prescription of antithrombotic drugs, identify triggering factors, and propose improvements for clinical practice. METHODS: This project is a multicenter, cross-sectional study based on 2015 to 2016 EMR data from 4 large hospitals in Switzerland: Lausanne, Geneva, and Zürich university hospitals, and Baden Cantonal Hospital. We have included inpatients aged ≥65 years who stayed at 1 of the 4 hospitals during 2015 or 2016, received at least one antithrombotic drug during their stay, and signed or were not opposed to a general consent for participation in research. First, clinical experts selected a list of relevant antithrombotic drugs along with their side effects, risks, and confounding factors. Second, administrative, clinical, prescription, and laboratory data available in the form of free text and structured data were extracted from study participants' EMRs. Third, several automated rule-based and machine learning-based algorithms are being developed, allowing for the identification of hemorrhage and thromboembolic events and their triggering factors from the extracted information. Finally, we plan to validate the developed detection tools (one per ADE type) through manual medical record review. Performance metrics for assessing internal validity will comprise the area under the receiver operating characteristic curve, F1-score, sensitivity, specificity, and positive and negative predictive values. RESULTS: After accounting for the inclusion and exclusion criteria, we will include 34,522 residents aged ≥65 years. The data will be analyzed in 2022, and the research project will run until the end of 2022 to mid-2023. CONCLUSIONS: This project will allow for the introduction of measures to improve safety in prescribing antithrombotic drugs, which today remain among the drugs most involved in ADEs. The findings will be implemented in clinical practice using indicators of adverse events for risk management and training for health care professionals; the tools and methodologies developed will be disseminated for new research in this field. The increased performance of natural language processing as an important complement to structured data will bring existing tools to another level of efficiency in the detection of ADEs. Currently, such systems are unavailable in Switzerland. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/40456.

National Early Warning Score (NEWS) Outperforms Quick Sepsis-Related Organ Failure (qSOFA) Score for Early Detection of Sepsis in the Emergency Department.

Background: Prompt recognition of sepsis is critical to improving patients' outcomes. We compared the performance of NEWS and qSOFA scores as sepsis detection tools in patients admitted to the emergency department (ED) with suspicion of sepsis. Methodology: A single-center 12-month retrospective study comparing NEWS using the recommended cut-off of ≥5 and qSOFA as sepsis screening tools in a cohort of patients transported by emergency medical services (EMS) to the Lausanne University Hospital (LUH). We used the Sepsis-3 consensus definition. The primary study endpoint was the detection of sepsis. Secondary endpoints were ICU admission and 28-day all-cause mortality. Results: Among 886 patients admitted to ED by EMS for suspected infection, 556 (63%) had a complete set of vital parameters panel enabling the calculation of NEWS and qSOFA scores, of whom 300 (54%) had sepsis. For the detection of sepsis, the sensitivity of NEWS > 5 was 86% and that of qSOFA ≥ 2 was 34%. Likewise, the sensitivities of NEWS ≥ 5 for predicting ICU admission and 28-day mortality were higher than those of qSOFA ≥ 2 (82% versus 33% and 88% versus 37%). Conversely, the specificity of qSOFA ≥ 2 for sepsis detection was higher than that of NEWS ≥ 5 (90% versus 55%). The negative predictive value of NEWS > 5 was higher than that of qSOFA ≥ 2 (77% versus 54%), while the positive predictive value of qSOFA ≥ 2 was higher than that of NEWS ≥ 5 (80% versus 69%). Finally, the accuracy of NEWS ≥ 5 was higher than that of qSOFA ≥ 2 (72% versus 60%). Conclusions: The sensitivity of NEWS ≥ 5 was superior to that of qSOFA ≥ 2 to identify patients with sepsis in the ED and predict ICU admission and 28-day mortality. In contrast, qSOFA ≥ 2 had higher specificity and positive predictive values than NEWS ≥ 5 for these three endpoints.

Coding mechanisms for diagnosis timing in the International Classification of Diseases, Version 11.

BACKGROUND: Diagnoses that arise after admission are of interest because they can represent complications of health care, acute conditions arising de novo, or acute decompensation of a chronic comorbidity occurring during the hospital stay. Three countries in the world have adopted diagnosis timing codes for a number of years. Their experience demonstrates the feasibility and utility of associating an International Classification of Diseases, Version 9 or International Classification of Diseases, Version 10 diagnostic code with information on diagnosis timing, either as part of a diagnostic field or as a separate field. However, diagnosis timing is not an integrated feature of these two classifications as it will be for International Classification of Diseases, Version 11. METHODS: We examine the different types of diagnosis timing that can be used to describe complex patients and present examples of how the new International Classification of Diseases, Version 11 codes may be used. RESULTS: Extension codes are one of the important new features of International Classification of Diseases, Version 11 and allow more specificity in diagnosis timing. CONCLUSION: Imbedded and standardized diagnosis timing information is possible within the International Classification of Diseases, Version 11 classification system.

[Health data: the new digital gold, but for whom?] / Données de santé : le nouvel or numérique, mais pour qui ?

Rapidly growing health-related data have the potential to improve health and healthcare, as well as to make health systems more efficient and focused on patients' needs. Their efficient and secure management represents major technological, organizational and societal challenges. Currently too compartmentalized and insufficiently accessible, these data are often in the hands of private providers and their collection does not necessarily guarantee data security and privacy protection. Professionals as well as some private for-profit companies are on the lookout for this new digital "gold". It is therefore urgent to define a democratic and legal framework for the governance, collection and use of health data in the highly decentralized and fragmented Swiss context.

Les données de santé, dont le volume croît rapidement, ont le potentiel d'améliorer la santé et les soins, de rendre les systèmes de santé plus efficients et centrés sur les besoins des patients. Leur gestion efficace et sécurisée représente des défis technologiques, organisationnels et sociétaux majeurs. Actuellement, trop cloisonnées et insuffisamment accessibles, ces données sont souvent en main de prestataires privés et leur collecte ne garantit pas forcément l'ensemble des éléments de sécurité des données et de protection de la vie privée. Les professionnels, comme certaines entreprises privées à but lucratif, sont à l'affût de ce nouvel « or ¼ numérique. Il apparaît donc urgent de définir un cadre démocratique et légal autour de la gouvernance, de la collecte et de l'utilisation des données de santé dans le contexte suisse fortement décentralisé et fragmenté.

Exploring Patient Multimorbidity and Complexity Using Health Insurance Claims Data: A Cluster Analysis Approach.

BACKGROUND: Although the trend of progressing morbidity is widely recognized, there are numerous challenges when studying multimorbidity and patient complexity. For multimorbid or complex patients, prone to fragmented care and high health care use, novel estimation approaches need to be developed. OBJECTIVE: This study aims to investigate the patient multimorbidity and complexity of Swiss residents aged ≥50 years using clustering methodology in claims data. METHODS: We adopted a clustering methodology based on random forests and used 34 pharmacy-based cost groups as the only input feature for the procedure. To detect clusters, we applied hierarchical density-based spatial clustering of applications with noise. The reasonable hyperparameters were chosen based on various metrics embedded in the algorithms (out-of-bag misclassification error, normalized stress, and cluster persistence) and the clinical relevance of the obtained clusters. RESULTS: Based on cluster analysis output for 18,732 individuals, we identified an outlier group and 7 clusters: individuals without diseases, patients with only hypertension-related diseases, patients with only mental diseases, complex high-cost high-need patients, slightly complex patients with inexpensive low-severity pharmacy-based cost groups, patients with 1 costly disease, and older high-risk patients. CONCLUSIONS: Our study demonstrated that cluster analysis based on pharmacy-based cost group information from claims-based data is feasible and highlights clinically relevant clusters. Such an approach allows expanding the understanding of multimorbidity beyond simple disease counts and can identify the population profiles with increased health care use and costs. This study may foster the development of integrated and coordinated care, which is high on the agenda in policy making, care planning, and delivery.

Early impact of the COVID-19 pandemic on in-person outpatient care utilisation: a rapid review.

OBJECTIVES: To quantitatively assess the early impact of the COVID-19 pandemic on in-person outpatient care utilisation worldwide, as well as across categories of services, types of care and medical specialties. DESIGN: Rapid review. METHOD: A search of MEDLINE and Embase was conducted to identify studies published from 1 January 2020 to 12 February 2021, which quantitatively reported the impact of the COVID-19 pandemic on the amount of outpatient care services delivered (in-person visits, diagnostic/screening procedures and treatments). There was no restriction on the type of medical care (emergency/primary/specialty care) or target population (adult/paediatric). All articles presenting primary data from studies reporting on outpatient care utilisation were included. Studies describing conditions requiring hospitalisation or limited to telehealth services were excluded. RESULTS: A total of 517 articles reporting 1011 outpatient care utilisation measures in 49 countries worldwide were eligible for inclusion. Of those, 93% focused on the first semester of 2020 (January to June). The reported results showed an almost universal decline in in-person outpatient care utilisation, with a 56% overall median relative decrease. Heterogeneity across countries was high, with median decreases ranging from 10% to 91%. Diagnostic and screening procedures (-63%), as well as in-person visits (-56%), were more affected than treatments (-36%). Emergency care showed a smaller relative decline (-49%) than primary (-60%) and specialty care (-58%). CONCLUSIONS: The provision of in-person outpatient care services has been strongly impacted by the COVID-19 pandemic, but heterogeneously across countries. The long-term population health consequences of the disruption of outpatient care service delivery remain currently unknown and need to be studied. PROSPERO REGISTRATION NUMBER: CRD42021237366.

The three-part model for coding causes and mechanisms of healthcare-related adverse events.

ICD-11 provides a promising new way to capture healthcare-related harm or injury. In this paper, we elaborate on the framework for describing healthcare-related events where there is a presumed causal link between an event and underlying healthcare-related factors. The three-part model for describing healthcare-related harm or injury in ICD-11 consists of (1) a healthcare-related activity that is the cause of injury or other harm (selected from Chapter 23 of ICD-11); (2) a mode or mechanism of injury or harm, related to the underlying cause (also from Chapter 23 of ICD-11); and (3) the harmful consequences of the event to the patient, selected from any of Chapters 1 through 22 of ICD-11 (most importantly, the injury or harm experienced by the patient). Concepts from these three elements are linked/clustered through postcoordination to reflect the three-part model in a single coded expression. ICD-11 contains many novel features, and the three-part model described here for healthcare-related adverse events is a notable example.

Development and validation of a knowledge-based score to predict Fried's frailty phenotype across multiple settings using one-year hospital discharge data: The electronic frailty score.

Background: Most claims-based frailty instruments have been designed for group stratification of older populations according to the risk of adverse health outcomes and not frailty itself. We aimed to develop and validate a tool based on one-year hospital discharge data for stratification on Fried's frailty phenotype (FP). Methods: We used a three-stage development/validation approach. First, we created a clinical knowledge-driven electronic frailty score (eFS) calculated as the number of deficient organs/systems among 18 critical ones identified from the International Statistical Classification of Diseases and Related Problems, 10th Revision (ICD-10) diagnoses coded in the year before FP assessment. Second, for eFS development and internal validation, we linked individual records from the Lc65+ cohort database to inpatient discharge data from Lausanne University Hospital (CHUV) for the period 2004-2015. The development/internal validation sample included community-dwelling, non-institutionalised residents of Lausanne (Switzerland) recruited in the Lc65+ cohort in three waves (2004, 2009, and 2014), aged 65-70 years at enrolment, and hospitalised at the CHUV at least once in the year preceding the FP assessment. Using this sample, we selected the best performing model for predicting the dichotomised FP, with the eFS or ICD-10-based variables as predictors. Third, we conducted an external validation using 2016 Swiss nationwide hospital discharge data and compared the performance of the eFS model in predicting 13 adverse outcomes to three models relying on well-designed and validated claims-based scores (Claims-based Frailty Index, Hospital Frailty Risk Score, Dr Foster Global Frailty Score). Findings: In the development/internal validation sample (n = 469), 14·3% of participants (n = 67) were frail. Among 34 models tested, the best-subsets logistic regression model with four predictors (age and sex at FP assessment, time since last hospital discharge, eFS) performed best in predicting the dichotomised FP (area under the curve=0·71; F1 score=0·39) and one-year adverse health outcomes. On the external validation sample (n = 54,815; 153 acute care hospitals), the eFS model demonstrated a similar performance to the three other claims-based scoring models. According to the eFS model, the external validation sample showed an estimated prevalence of 56·8% (n = 31,135) of frail older inpatients at admission. Interpretation: The eFS model is an inexpensive, transportable and valid tool allowing reliable group stratification and individual prioritisation for comprehensive frailty assessment and may be applied to both hospitalised and community-dwelling older adults. Funding: The study received no external funding.

Sex related inequalities in the management and prognosis of acute coronary syndrome in Switzerland: cross sectional study.

Objectives: To assess the differences in the management and prognosis of acute coronary syndrome in men and women who were admitted to hospital for acute coronary syndrome. Design: Cross sectional study. Setting: Discharge data from Swiss hospitals linked at the hospital and patient levels. Participants: 224 249 adults (18 years and older) were admitted to hospital for acute coronary syndrome between 1 January 2009 and 31 December 2017 in any Swiss hospital, of which 72 947 (32.5%) were women. People who were discharged against medical advice were excluded. Results: Women admitted to hospital with acute coronary syndrome were older than their male counterparts (mean age 74.9 years (standard deviation 12.4) v 67.0 years (13.2)). Irrespective of acute coronary syndrome type, women were less likely to undergo diagnostic procedures, such as coronary angiography (adjusted odds ratio 0.79 (95% confidence interval 0.77 to 0.82) for non-ST-segment elevation myocardial infarction v 0.87 (0.84 to 0.91) for ST-segment elevation myocardial infarction)) and ventriculography (0.84 (0.82 to 0.87) v 0.90 (0.87 to 0.91)). Women were also less likely to receive treatments, such as percutaneous coronary intervention (0.67 (0.65 to 0.69) v 0.76 (0.73 to 0.78)) and coronary artery bypass graft (0.57 (0.53 to 0.61) v 0.79 (0.72 to 0.87)). Women had a poorer prognosis than men, with a higher likelihood of healthcare related complications (1.10 (1.06 to 1.15) v 1.14 (1.09 to 1.21)) and of a longer hospital stay (1.24 (1.20 to 1.27) v 1.24 (1.20 to 1.29)). In non-adjusted models, the likelihood of death in hospital was higher among women (odds ratio 1.30 (95% confidence interval 1.24 to 1.37) for non-ST-segment elevation myocardial infarction v 1.75 (1.66 to 1.85) for ST-segment elevation myocardial infarction), but the association was reversed for ST-segment elevation myocardial infarction (adjusted odds ratio 0.87 (0.82 to 0.92)) or was non-significant for non-ST-segment elevation myocardial infarction (1.00 (0.94 to 1.06)) after adjustment for confounding variables. The main effect modifier was age: younger women were more likely to die than men of the same age and older women were less likely to die than men of the same age. For example, women who were younger than 50 years had a 38% increased likelihood of dying compared with men of the same age range (adjusted odds ratio 1.38 (1.04 to 1.83)). Conclusions: Sex inequalities were reported in the management of heart disease in this population of patients from a high income country with good healthcare coverage. These differences affect mortality and morbidity, especially in younger women. Efforts are needed to overcome these inequalities, including educational programmes aimed at healthcare professionals.

Hospital discharge data is not accurate enough to monitor the incidence of postpartum hemorrhage.

INTRODUCTION: Postpartum hemorrhage remains a leading cause of maternal morbidity and mortality worldwide. Therefore, cumulative incidence of postpartum hemorrhage and severe postpartum hemorrhage are commonly monitored within and compared across maternity hospitals or countries for obstetrical safety improvement. These indicators are usually based on hospital discharge data though their accuracy is seldom assessed. We aimed to measure postpartum hemorrhage and severe postpartum hemorrhage using electronic health records and hospital discharge data separately and compare the detection accuracy of these methods to manual chart review, and to examine the temporal trends in cumulative incidence of these potentially avoidable adverse outcomes. MATERIALS AND METHODS: We analyzed routinely collected data of 7904 singleton deliveries from a large Swiss university hospital for a three year period (2014-2016). We identified postpartum hemorrhage and severe postpartum hemorrhage in electronic health records by text mining discharge letters and operative reports and calculating drop in hemoglobin from laboratory tests. Diagnostic and procedure codes were used to identify cases in hospital discharge data. A sample of 334 charts was reviewed manually to provide a reference-standard and evaluate the accuracy of the other detection methods. RESULTS: Sensitivities of detection algorithms based on electronic health records and hospital discharge data were 95.2% (95% CI: 92.6% 97.8%) and 38.2% (33.3% to 43.0%), respectively for postpartum hemorrhage, and 87.5% (85.2% to 89.8%) and 36.2% (26.3% to 46.1%) for severe postpartum hemorrhage. Postpartum hemorrhage cumulative incidence based on electronic health records decreased from 15.6% (13.1% to 18.2%) to 8.5% (6.7% to 10.5%) from the beginning of 2014 to the end of 2016, with an average of 12.5% (11.8% to 13.3%). The cumulative incidence of severe postpartum hemorrhage remained at approximately 4% (3.5% to 4.4%). Hospital discharge data-based algorithms provided significantly underestimated incidences. CONCLUSIONS: Hospital discharge data is not accurate enough to assess the incidence of postpartum hemorrhage at hospital or national level. Instead, automated algorithms based on structured and textual data from electronic health records should be considered, as they provide accurate and timely estimates for monitoring and improvement in obstetrical safety. Furthermore, they have the potential to better code for postpartum hemorrhage thus improving hospital reimbursement.

Trust in Institutions and the COVID-19 Threat: A Cross-Sectional Study on the Public Perception of Official Recommendations and of Othering in Switzerland.

Objectives: To explore how perceived disease threat and trust in institutions relate to vaccination intent, perceived effectiveness of official recommendations, and to othering strategies. Methods: We conducted a cross-sectional survey of Swiss adults in July 2020. Outcome variables were vaccination intent, perceived effectiveness of official recommendations and othering strategies (labelling a given social group as responsible for the disease and distancing from it). Independent variables were perceived disease threat, trust in various institutions, perceived health-related measures, and sociodemographic variables. Linear and logistic regressions were performed. Results: The response rate was 20.2% (1518/7500). Perceived disease threat and trust in medical/scientific institutions were positively associated with vaccination intent and perceived effectiveness of official recommendations for coronavirus mitigation measures. Only disease threat was associated with a perception of effectiveness among othering strategies. Age and education levels were associated with vaccination intent. Conclusion: Reinforcing trust in medical/scientific institutions can help strengthen the perceived effectiveness of official recommendations and vaccination. It however does not prevent adherence to ineffective protecting measures such as othering strategies, where decreasing perceptions of epidemic threat appears to be more efficient.

Epidemiology, risk factors and clinical course of SARS-CoV-2 infected patients in a Swiss university hospital: An observational retrospective study.

BACKGROUND: This study aims to describe the epidemiology of COVID-19 patients in a Swiss university hospital. METHODS: This retrospective observational study included all adult patients hospitalized with a laboratory confirmed SARS-CoV-2 infection from March 1 to March 25, 2020. We extracted data from electronic health records. The primary outcome was the need to mechanical ventilation at day 14. We used multivariate logistic regression to identify risk factors for mechanical ventilation. Follow-up was of at least 14 days. RESULTS: 145 patients were included in the multivariate model, of whom 36 (24.8%) needed mechanical ventilation at 14 days. The median time from symptoms onset to mechanical ventilation was 9·5 days (IQR 7.00, 12.75). Multivariable regression showed increased odds of mechanical ventilation with age (OR 1.09 per year, 95% CI 1.03-1.16, p = 0.002), in males (OR 6.99, 95% CI 1.68-29.03, p = 0.007), in patients who presented with a qSOFA score ≥2 (OR 7.24, 95% CI 1.64-32.03, p = 0.009), with bilateral infiltrate (OR 18.92, 3.94-98.23, p<0.001) or with a CRP of 40 mg/l or greater (OR 5.44, 1.18-25.25; p = 0.030) on admission. Patients with more than seven days of symptoms on admission had decreased odds of mechanical ventilation (0.087, 95% CI 0.02-0.38, p = 0.001). CONCLUSIONS: This study gives some insight in the epidemiology and clinical course of patients admitted in a European tertiary hospital with SARS-CoV-2 infection. Age, male sex, high qSOFA score, CRP of 40 mg/l or greater and a bilateral radiological infiltrate could help clinicians identify patients at high risk for mechanical ventilation.