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Aim: To explore how patients with hospital experience construct patient safety, from the identification of a patient safety risk to the decision to file a complaint., Background: Patients play an important role in the prevention of adverse events in hospitals, but the ability of patients to act and influence their own safety is still challenged by multiple factors. Understanding how patients perceive risk and act to prevent harm may shed light on how to enhance patients' opportunities to participate in patient safety., Design: The research design of this study is qualitative and exploratory., Methods: Twelve participants who had experienced Swedish hospital care were interviewed between June 2022 and July 2023. The method of analysis was constructivist grounded theory, focusing on social processes. The COREQ checklist for qualitative research was followed., Results: Four categories were constructed: (1) defining the boundary between one's own capacity and that of the hospital, (2) acting to minimize the impact on one's safety, (3) finding oneself in the hands of healthcare professionals and (4) exploring the boundaries between normality and abnormality of the situation. This process was captured in the core category of navigating the path of least suffering. This illustrated how the participants constructed meaning about patient safety risks and showed that they prevented multiple adverse events., Conclusions: Provided that participants were able to act independently, they avoided a multitude of adverse events. When they were dependent on healthcare professionals, their safety became more vulnerable. Failure to respond to the participants' concerns could lead to long-term suffering., Relevance to Clinical Practice: By responding immediately to patients' concerns about their safety, healthcare professionals can help prevent avoidable suffering and exhaustive searching for someone in the healthcare system who will take their needs seriously., Patient Contribution: A member check was performed with the help of one of the participants who read the findings to confirm familiarity., (© 2024 The Author(s). Journal of Clinical Nursing published by John Wiley & Sons Ltd.)

Objectives: The overall objective was to analyse service-related factors involved in the complex processes that precede suicide in order to identify potential targets for intervention., Design and Setting: Explorative network analysis study of post-suicide root cause analysis data from Swedish primary and secondary healthcare., Participants: 217 suicide cases reported to the Swedish national root cause analysis database between 2012 and 2017., Primary and Secondary Outcome Measures: A total of 961 reported incidents were included. Demographic data and frequencies of reported deficiencies were registered. Topology, centrality indices and communities were explored for three networks. All networks have been tested for robustness and accuracy., Results: Lack of follow-up, evaluations and insufficient documentation issues emerged as central in the network of major themes, as did the contributing factors representing organisational problems, failing procedures and miscommunication. When analysing the subthemes of deficiencies more closely, disrupted treatments and staffing issues emerged as prominent features. The network covering the subthemes of contributing factors also highlighted discontinuity, fragile work structures, inadequate routines, and lack of resources and relevant competence as potential triggers. However, as the correlation stability coefficients for this network were low, the results need further investigation. Four communities were detected covering nodes for follow-up, evaluation, cooperation, and procedures; communication, documentation and organisation; assessments of suicide risk and psychiatric status; and staffing, missed appointments and declined treatment., Conclusion: The results of this study suggest that healthcare providers may improve patient safety in suicide preventive pathways by taking active measures to provide regular follow-ups to patients with elevated suicide risk. In some cases, declined or cancelled appointments could be a warning sign. Tentative results show organisational instability, in terms of work structure, resources and staffing, as a potential target for intervention, although this must be more extensively explored in the future., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

The transmission of COVID-19 is dependent on social mixing, the basic rate of which varies with sociodemographic, cultural, and geographic factors. Alterations in social mixing and subsequent changes in transmission dynamics eventually affect hospital admissions. We employ these observations to model and predict regional hospital admissions in Sweden during the COVID-19 pandemic. We use an SEIR-model for each region in Sweden in which the social mixing is assumed to depend on mobility data from public transport utilisation and locations for mobile phone usage. The results show that the model could capture the timing of the first and beginning of the second wave of the pandemic 3 weeks in advance without any additional assumptions about seasonality. Further, we show that for two major regions of Sweden, models with public transport data outperform models using mobile phone usage. We conclude that a model based on routinely collected mobility data makes it possible to predict future hospital admissions for COVID-19 3 weeks in advance., (© 2021. The Author(s).)

SARS-CoV-2 was discovered among humans in Wuhan, China in late 2019, and then spread rapidly, causing a global pandemic. The virus was found to be transmitted mainly by respiratory droplets from infected persons or by direct contact. It was also shown to be excreted in feces, why we investigated whether the virus could be detected in wastewater and if so, to which extent its levels reflects its spread in society. Samples of wastewater from the city of Gothenburg, and surrounding municipalities in Sweden were collected daily from mid-February until June 2020 at the Rya wastewater treatment plant. Flow proportional samples of wastewater were collected to ensure that comparable amounts were obtained for analysis. Daily samples were pooled into weekly samples. Virus was concentrated on a filter and analyzed by RT-qPCR. The amount of SARS-CoV-2 varied with peaks approximately every four week, preceding variations in number of newly hospitalized patients by 19-21 days. At that time virus testing for COVID-19 was limited to patients with severe symptoms. Local differences in viral spread was shown by analyzing weekly composite samples of wastewater from five sampling sites for four weeks. The highest amount of virus was found from the central, eastern, and northern parts of the city. SARS-CoV-2 was also found in the treated effluent wastewater from the WWTP discharged into the recipient, the Göta River, although with a reduction of 4-log 10. The viral peaks with regular temporal intervals indicated that SARS-CoV-2 may have a cluster spread, probably reflecting that the majority of infected persons only spread the disease during a few days. Our results are important for both the planning of hospital care and to rapidly identify and intervene against local spread of the virus., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020. Published by Elsevier Ltd.)