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AimsTo highlight the need for the development of effective and realistic workforce strategies for critical care nurses, in both a steady state and pandemic.BackgroundIn acute care settings, there is an inverse relationship between nurse staffing and iatrogenesis, including mortality. Despite this, there remains a lack of consensus on how to determine safe staffing levels. Intensive care units (ICU) provide highly specialised complex healthcare treatments. In developed countries, mortality rates in the ICU setting are high and significantly varied after adjustment for diagnosis. The variability has been attributed to systems, patient and provider issues including the workload of critical care nurses.DesignDiscursive paper.FindingsNursing workforce is the single most influential mediating variable on ICU patient outcomes. Numerous systematic reviews have been undertaken in an effort to quantify the effect of critical care nurses on mortality and morbidity, invariably leading to the conclusion that the association is similar to that reported in acute care studies. This is a consequence of methodological limitations, inconsistent operational definitions and variability in endpoint measures. We evaluated the impact inadequate measurement has had on capturing relevant critical care data, and we argue for the need to develop effective and realistic ICU workforce measures.ConclusionCOVID-19 has placed an unprecedented demand on providing health care in the ICU. Mortality associated with ICU admission has been startling during the pandemic. While ICU systems have largely remained static, the context in which care is provided is profoundly dynamic and the role and impact of the critical care nurse needs to be measured accordingly. Often, nurses are passive recipients of unplanned and under-resourced changes to workload, and this has been brought into stark visibility with the current COVID-19 situation. Unless critical care nurses are engaged in systems management, achieving consistently optimal ICU patient outcomes will remain elusive.Relevance to clinical practiceObjective measures commonly fail to capture the complexity of the critical care nurses' role despite evidence to indicate that as workload increases so does risk of patient mortality, job stress and attrition. Critical care nurses must lead system change to develop and evaluate valid and reliable workforce measures.

The 2014 outbreak of Ebola virus disease (EVD) in West Africa has presented a significant public health crisis to the international health community and challenged U.S. emergency departments (EDs) to prepare for patients with a disease of exceeding rarity in developed nations. With the presentation of patients with Ebola to U.S. acute care facilities, ethical questions have been raised in both the press and medical literature as to how U.S. EDs, emergency physicians (EPs), emergency nurses, and other stakeholders in the health care system should approach the current epidemic and its potential for spread in the domestic environment. To address these concerns, the American College of Emergency Physicians, the Emergency Nurses Association, and the Society for Academic Emergency Medicine developed this joint position paper to provide guidance to U.S. EPs, emergency nurses, and other stakeholders in the health care system on how to approach the ethical dilemmas posed by the outbreak of EVD. This paper will address areas of immediate and potential ethical concern to U.S. EDs in how they approach preparation for and management of potential patients with EVD.

Purpose UNC Medical Center converted to an electronic health record (EHR) in 2014. This conversion allowed for the transition of paper chemotherapy orders to be managed electronically. This article describes the process for converting inpatient paper chemotherapy orders into the new EHR in a safe and effective manner. Summary A collaborative interdisciplinary approach to the EHR transition enabled our organization to move from using paper chemotherapy orders to fully electronic chemotherapy treatment plans in both ambulatory and acute care areas. Active chemotherapy orders for acute care inpatients were reviewed and transcribed by two oncology pharmacists in the cancer hospital prior to being signed by an attending physician. The newly input orders were independently verified by two pharmacists in the cancer hospital inpatient pharmacy. Nurse review of the signed and verified treatment plans, along with reconciliation of the medication administration record ensured a safe transition to the new EHR workflow. Providers benefit from the ability to review treatment plans remotely, track changes, and include supportive medications in one consolidated location. The coordinated team effort allowed for a smooth transition with minimal interruptions to patient care. Conclusion The pharmacist-led, multidisciplinary conversion to electronic chemotherapy orders was safe, accurate, and occurred ahead of schedule for the EHR go-live. Advance communication and planning around scheduled inpatient admissions helped to minimize the impact of the transition from paper to electronic treatment plans. Both pharmacist and physician engagement were necessary to ensure a smooth transition for active inpatient treatment plans.

The 2014 outbreak of Ebola Virus Disease (EVD) in West Africa has presented a significant public health crisis to the international health community and challenged US emergency departments to prepare for patients with a disease of exceeding rarity in developed nations. With the presentation of patients with Ebola to US acute care facilities, ethical questions have been raised in both the press and medical literature as to how US emergency departments, emergency physicians, emergency nurses and other stakeholders in the healthcare system should approach the current epidemic and its potential for spread in the domestic environment. To address these concerns, the American College of Emergency Physicians, the Emergency Nurses Association and the Society for Academic Emergency Medicine developed this joint position paper to provide guidance to US emergency physicians, emergency nurses and other stakeholders in the healthcare system on how to approach the ethical dilemmas posed by the outbreak of EVD. This paper will address areas of immediate and potential ethical concern to US emergency departments in how they approach preparation for and management of potential patients with EVD.

IntroductionHealth Data Research UK designated seven UK-based Hubs to facilitate health data use for research. PIONEER is the Hub in Acute Care. PIONEER delivered workshops where patients/public citizens agreed key principles to guide access to unconsented, anonymised, routinely collected health data. These were used to inform the protocol.MethodsThis paper describes the PIONEER infrastructure and data access processes. PIONEER is a research database and analytical environment that links routinely collected health data across community, ambulance and hospital healthcare providers. PIONEER aims ultimately to improve patient health and care, by making health data discoverable and accessible for research by National Health Service, academic and commercial organisations. The PIONEER protocol incorporates principles identified in the public/patient workshops. This includes all data access requests being reviewed by the Data Trust Committee, a group of public citizens who advise on whether requests should be supported prior to licensed access.Ethics and disseminationEast Midlands–Derby REC (20/EM/0158): Confidentiality Advisory Group (20/CAG/0084). www.PIONEERdatahub.co.uk

Context: In 2006 the Labour Government in England published its long awaited White Paper on ‘community services’, following on from the 2005 Green Paper on the future of social care. The policy envisages an unprecedented shift of activity and resources from acute care to community settings, along with a much stronger focus on preventive care. Several mechanisms are to be put in place to ensure this shift takes place, most notably practice-based commissioning, payments-by-results and enhanced partnership working. Purpose: This article outlines the intended changes and assesses the extent to which they add up to a coherent strategy. Conclusion: It is argued that although there is widespread support for the overall vision, the strategy contains some difficult policy tensions that are common to other welfare systems. These will have to be addressed if the vision is to be a reality.

Objectives To examine healthcare worker's perceptions, expectations, and experiences regarding how work processes, patient-related safety, and care were affected when a quaternary care center transitioned from one computerized provider order entry (CPOE) system to a full electronic health record (EHR). Methods The I-SEE survey was administered prior to and 1-year after transition in systems. The construct validity and reliability of the survey was assessed within the current population and also compared to previously published results. Pre- and 1-year post-implementation scale means were compared within and across time periods. Results The majority of respondents were nurses and personnel working in the acute care setting. Because a confirmatory factor analysis indicated a lack of fit of our data to the I-SEE survey's 5-factor structure, we conducted an exploratory factor analysis that resulted in a 7-factor structure which showed better reliability and validity. Mean scores for each factor indicated that attitudes and expectations were mostly positive and score trends over time were positive or neutral. Nurses generally had less positive attitudes about the transition than non-nursing respondents, although the difference diminished after implementation. Conclusions Findings demonstrate that the majority of responding staff were generally positive about transitioning from CPOE system to a full electronic health record (EHR) and understood the goals of doing so, with overall improved ratings over time. In addition, the I-SEE survey, when modified based on our population, was useful for assessing patient care and safety related expectations and experiences during the transition from one CPOE system to an EHR.

Healthcare Resource Groups [HRG] are the mechanism by which patient activity is classified according to case mix in England. They are the primary funding mechanism for acute care in the English National Health Service [NHS], under the Department of Health's Payment by Results [PbR] national policy. This Department collects annual cost data ('Reference Costs'), and uses this as the basis for setting a national tariff price at an HRG level for acute treatments, procedures and services. The current HRG reimbursement version is HRG version 3.5. The Department of Health has announced that from 1st April 2009, funding will be based on HRG4 instead. "Going Live" Since completing the design of HRG4 in April 2007, the NHS Information Centre Casemix Service has been working with its business partners (DH PbR, NHS Connecting for Health and the Audit Commission) to prepare for its use by the DH PbR team for national reimbursement from April 2009. This work is categorised under a number of key headings: Processes, Products, People.

Rationale, Aims and Objectives:\ud Sharing aspects of the traditional medical record with patients has been successful in primary and antenatal care, but has not been investigated in the UK inpatient setting. Our aim was to evaluate the impact on patient and clinician experience of providing patients with a written lay summary of their care-plan in the acute care setting.\ud \ud Method:\ud We carried out a qualitative interview study on two acute medicine wards in an NHS University Teaching Hospital for a 4-week period in 2019. A summary record, designed in response to suggestions from doctors and patients from a previous study, was distributed to patients on the first ward round after admission. Eligible participants included all doctors and nurses working on and all patients and their families attending the acute medical units; patients were excluded if they lacked capacity to consent or were under 18. We interviewed 20 patients, 10 relatives, 10 doctors and 7 nurses.\ud \ud Results:\ud Patients felt that the summary improved their ability to remember details about their care so they could more accurately and easily update their relatives. They did not feel that the summary induced anxiety. Patient-doctor communication was improved: patients felt empowered to ask more questions and doctors felt that it solidified their plan and encouraged them to avoid medical jargon. Most patients felt the summary included the ‘right’ amount of information. Healthcare professionals were more concerned about the risk of breaching confidentiality than patients. Doctors felt that providing summaries was time-consuming; there were differing opinions about whether this was a worthwhile investment of time. Clinicians recognized that the traditional medical record has many roles.\ud \ud Conclusions:\ud A summary record could empower patients and improve patient-doctor communication but would require additional clinician and administrative time.

Healthcare-associated infections (HCAIs) are a threat to patient safety and cause substantial medical and economic burden in acute care and long-term care facilities. Risk factors for HCAIs include patient characteristics, the type of care and the setting. Local surveillance data and microbiological characterization are crucial tools for guiding antimicrobial treatment and informing efforts to reduce the incidence of HCAI. Skin and soft tissue infections, including superficial and deep incisional surgical site infections, are among the most frequent HCAIs. Other skin and soft tissue infections associated with healthcare settings include vascular access site infections, infected burns and traumas, and decubitus ulcer infections.

Despite universal healthcare, immigrants often face unique challenges accessing healthcare. Employing an interpretative phenomenological analysis approach, four focus groups were conducted with 29 women and eight men from 15 different countries attending English language classes hosted at a non-governmental organization in Regina, Saskatchewan, Canada in 2016 and 2017. Personal factors such as language barrier, lack of transportation, childcare and others interacted with systemic factors such as lack of appointment, long wait times, etc. delaying access at each point of contact with the healthcare system. Participants expressed dissatisfaction with the potency of medications, time spent in appointments and the way healthcare professionals communicated health information. The referral process and wait times were viewed as barriers to accessing specialist, diagnostic and acute care services. Participants were concerned that appropriate healthcare will be unavailable when needed. Strategies addressing systemic and person-specific barriers are needed to provide equitable client-centered care.

Intoxicated persons showing challenging behavior (IPCBs) under influence of alcohol and/or drugs frequently have trouble finding appropriate acute care. Often IPCBs are stigmatized being unwilling or unable to accept help. Separated physical and mental healthcare systems hamper integrated acute care for IPCBs. This pilot aimed to substantiate the physical, psychiatric, and social health needs of IPCBs visiting the emergency room (ER) during a 3-month period. All ER visits were screened. After triage by the ER physician, indicated IPCBs were additionally assessed by the consultation–liaison–psychiatry physician. If needed, IPCBs were admitted to a complexity intervention unit for further examinations to provide integrated treatments and appropriate follow-up care. The INTERMED and Health of the Nation Outcome Scale (HoNOS) questionnaires were used to substantiate the complexity and needs. Field-relevant stakeholders were interviewed about this approach for acute integrated care. Alongside substance abuse, almost half of identified IPCBs suffered from comorbid psychiatric disturbances and one third showed substantial physical conditions requiring immediate medical intervention. Almost all IPCBs (96%) accepted the acute medical care voluntarily. IPCBs showed high mean initial scores of INTERMED (27.8 ± 10.0) and HoNOS (20.8 ± 6.9). At discharge from the complexity intervention unit, the mean HoNOS score decreased significantly (13.4 ± 8.6; P

To examine the association between nurse skill mix (the proportion of total hours provided by Registered Nurses) and patient outcomes in acute care hospitals.A quantitative systematic review included studies published in English between January 2000 - September 2018.Cochrane Library, CINAHL Plus with Full Text, MEDLINE, Scopus, Web of Science and Joanna Briggs Institute were searched. Observational and experimental study designs were included. Mix-methods designs were included if the quantitative component met the criteria.The Systematic Review guidelines of the Joanna Briggs Institute and its critical appraisal instrument were used. An inverse association was determined when seventy-five percent or more of studies with significant results found this association.Sixty-three articles were included. Twelve patient outcomes were inversely associated with nursing skill mix (i.e., higher nursing skill mix was significantly associated with improved patient outcomes). These were length of stay; ulcer, gastritis and upper gastrointestinal bleeds; acute myocardial infarction; restraint use; failure-to-rescue; pneumonia; sepsis; urinary tract infection; mortality/30-day mortality; pressure injury; infections and shock/cardiac arrest/heart failure.Nursing skill mix affected 12 patient outcomes. However, further investigation using experimental or longitudinal study designs are required to establish causal relationships. Consensus on the definition of skill mix is required to enable more robust evaluation of the impact of changes in skill mix on patient outcomes.Skill mix is perhaps more important than the number of nurses in reducing adverse patient outcomes such as mortality and failure to rescue, albeit the optimal staffing profile remains elusive in workforce planning.目的: 在于探讨护士技巧组合(注册护士提供的总时数比例)与急性护理医院患者结果之间的联系。 设计: 一项定量系统综述包括2000年1月至2018年9月期间以英语发表的各项研究。 资料来源: 搜索了Cochrane Library、CINAHL Plus with Full Text、MEDLINE、Scopus、Web of Science和Joanna Briggs Institute。纳入了观察性和实验性研究设计。如果定量成分符合标准,则纳入混合方法设计。 综述方法: 使用了Joanna Briggs Institute的系统综述指南及其关键评估工具。当75%或者更多具备显著结果的研究发现这种联系时,就确定了反向关联。 结果: 共纳入了63篇文章。12名患者的结果与护理技巧组合呈负相关(即,较高的护理技能组合与患者结果的改善显著相关)。这些是住院天数;溃疡、胃炎和上消化道出血;急性心肌梗死;约束使用;救援失败;肺炎;败血症;尿路感染;死亡率/30天死亡率;压力性损伤;感染和休克/心脏骤停/心力衰竭。 结论: 护理技巧组合影响了12例患者的结果。然而,需要使用实验性或纵向研究设计来进一步调查,从而建立因果关系。需要就技巧组合的定义达成共识,以便能够更有力地评估技巧组合变化对患者结果的影响。 影响: 在降低死亡率和救援失败等不良患者结果方面,技巧组合可能比护士人数更为重要,尽管最佳的人员配置在人力资源规划中仍然让人难懂。.

Background It is essential to identify factors that affect adherence to standard precautions, which could increase risk of occupational exposure to pathogens. Methods A descriptive cross-sectional study was conducted. Nurses (n = 241) in an acute care hospital completed the survey including the Factors Influencing Adherence to Standard Precautions Scale (FIASPS) (total possible scores in each domain ranged from 5 to 25) and the Compliance with Standard Precautions Scale (CSPS) (total possible scores ranged from 0 to 20). Results Results showed moderate influence of the judgement (mean = 14.04, SD = 4.04), leadership (M = 14.58, SD 3.78), and culture/practice (M = 12.61, SD = 3.18) factors; high score on contextual cues (M = 15.77, SD = 3.60); and low score on justification (M = 5.76, SD = 4.57). The overall mean CSPS score was 76.68% (SD 13.82). There was a significant negative relationship between justification for non-use of standard precautions and nurses' adherence with standard precautions (r = −0.24, p, Highlights • Poor adherence to standard precautions increases the risk of exposure to infections. • Regular training sessions can improve perception of risks of non-adherence. • Nurses can be encouraged to be role models in the practice of standard precautions. • Enforcement of policies is crucial to maintain adherence to standard precautions.

The goal of this study is to provide empirical evidence of the impact of nurse staffing levels on seven nursing-sensitive patient outcomes (NSPOs) at the hospital unit level. Combining a very large set of claims data from a German health insurer with mandatory quality reports published by every hospital in Germany, our data set comprises approximately 3.2 million hospital stays in more than 900 hospitals over a period of 5 years. Accounting for the grouping structure of our data (i.e., patients grouped in unit types), we estimate cross-sectional, two-level generalized linear mixed models (GLMMs) with inpatient cases at level 1 and units types (e.g., internal medicine, geriatrics) at level 2. Our regressions yield 32 significant results in the expected direction. We find that differentiating between unit types using a multilevel regression approach and including postdischarge NSPOs adds important insights to our understanding of the relationship between nurse staffing levels and NSPOs. Extending our main model by categorizing inpatient cases according to their clinical complexity, we are able to rule out hidden effects beyond the level of unit types. Supplementary Information The online version contains supplementary material available at 10.1007/s10198-021-01292-2.

Introduction: The Global Leadership Initiative on Malnutrition (GLIM) lacks reliable blood tests for evaluating the nutrition status. We retrospectively compared the GLIM criteria, Controlling Nutrition Status (CONUT) score, and Subjective Global Assessment (SGA) to establish effective malnutrition screening and provide appropriate nutritional interventions according to severity. Methods: We classified 177 patients into 3 malnutrition categories (normal/mild, moderate, and severe) according to the GLIM criteria, CONUT score, and SGA. We investigated the malnutrition prevalence, concordance of malnutrition severity, predictability of clinical outcome, concordance by etiology, and clinical outcome by inflammation. Results: The highest prevalence of malnutrition was found using the GLIM criteria (87.6%). Concordance of malnutrition severity was low between the GLIM criteria and CONUT score. Concordance by etiology was low in all groups but was the highest in the “acute disease” group. The area under the curve of clinical outcome and that of the “with inflammation group” were significantly higher when using the CONUT score versus using the other tools (0.679 and 0.683, respectively). Conclusion: The GLIM criteria have high sensitivity, while the CONUT score can effectively predict the clinical outcome of malnutrition. Their combined use can efficiently screen for malnutrition and patient severity in acute care hospitals.

We describe an innovative research protocol to: (a) examine patient-level longitudinal associations between nurse staffing practices and the risk of adverse events in acute care hospitals and; (b) determine possible thresholds for safe nurse staffing.A dynamic cohort of adult medical, surgical and intensive care unit patients admitted to 16 hospitals in Quebec (Canada) between January 2015-December 2019.Patients in the cohort will be followed from admission until 30-day postdischarge to assess exposure to selected nurse staffing practices in relation to the subsequent occurrence of adverse events. Five staffing practices will be measured for each shift of an hospitalization episode, using electronic payroll data, with the following time-varying indicators: (a) nursing worked hours per patient; (b) skill mix; (c) overtime use; (d) education mix and; and (e) experience. Four high-impact adverse events, presumably associated with nurse staffing practices, will be measured from electronic health record data retrieved at the participating sites: (a) failure-to-rescue; (b) in-hospital falls; (c) hospital-acquired pneumonia and; and (d) venous thromboembolism. To examine the associations between the selected nurse staffing exposures and the risk of each adverse event, separate multivariable Cox proportional hazards frailty regression models will be fitted, while adjusting for patient, nursing unit and hospital characteristics, and for clustering. To assess for possible staffing thresholds, flexible non-linear spline functions will be fitted. Funding for the study began in October 2019 and research ethics/institutional approval was granted in February 2020.To our knowledge, this study is the first multisite patient-level longitudinal investigation of the associations between common nurse staffing practices and the risk of adverse events. It is hoped that our results will assist hospital managers in making the most effective use of the scarce nursing resources and in identifying staffing practices that minimize the occurrence of adverse events.目的: 我们描述了一份创新的研究方案: (a) 检查急诊护理医院护士配置方法与不良事件风险之间的患者水平纵向关联; (b) 确定安全护士配置的可能阈值。 设计: 2015年1月至2019年12月期间, 魁北克省 (加拿大) 16家医院收治的成人医疗、外科和重症监护病房患者动态队列研究。 方法: 将从入院到出院后30天里, 对队列研究中的患者进行随访, 以评估与随后发生的不良事件相关的选定护士工作实践的暴露情况。将使用电子工资单数据, 测量住院期间各轮班的五种人员配置方法, 并采用以下时变指标: (a) 各患者的护理工作时间; (b) 技能混合; (c) 加班使用; (d) 教育混合和; 以及 (e) 经验。将从参与站点检索的电子健康记录数据中测量四个可能与护士配置方法相关的高影响不良事件: (a) 抢救失败; (b) 住院量下降; (c) 院内获得性肺炎和; 以及 (d)静脉血栓栓塞。为检测所选护士人员配置暴露与各种不良事件风险之间的关系, 将拟合单独的多变量Cox比例风险脆弱性回归模型, 同时调整患者、护理单位和医院特征, 并进行聚类分析。为评估可能的人员配置阈值, 将拟合灵活的非线性样条函数。我们于2019年10月, 获得该项研究的资助,于2020年2月获得研究伦理/机构的批准。 讨论: 据我们所知, 此项研究是第一次多地点患者水平的纵向调查, 其针对普通护士配置方法与不良事件风险之间的关联。希望我们的研究结果能帮助医院管理者最有效地利用稀缺的护理资源, 并找出减少不良事件发生的人员配置方法。.

The World Health Organization (WHO) declared the Coronavirus Disease (COVID‐19) a pandemic due to the huge upsurge in the number of reported cases worldwide. The COVID‐19 pandemic in India has become a public health threat, and if we go by the number of confirmed cases then the situation seems to be a matter of grave concern. According to real‐time data, the numbers of confirmed cases are growing exponentially. No doubt, substantial public health interventions both at the national and state levels are implemented immediately by the Government of India; there is a need for improved preparedness plans and mitigation strategies along with accurate forecasting. The present study aims to forecast the COVID‐19 outbreak infected cases in India. The data have been obtained from https://www.covid19india.org, https://www.worldometers.info/coronavirus, and ICMR reported publicly available information about COVID‐19 confirmation cases. We have used the double exponential smoothing method for forecasting the trends in terms of confirmed, active, recovered and death cases from COVID‐19 for emergency preparedness and future predictions. Findings reveal that the estimated value of point forecast is just 8.22% of the total number of confirmed cases reported on a daily basis across the country. It was observed that the deaths were lower for the states and union territories with a higher detection rate. It is suggested that by keeping in view the limited healthcare resources in the country, accurate forecasting, early detection, and avoidance of acute care for the majority of infected cases is indispensable.

Background Patient portals play an important role in connecting patients with their medical care team, which improves patient engagement in treatment plans, decreases unnecessary visits, and reduces costs. During natural disasters, patients’ needs increase, whereas available resources, specifically access to care, become limited. Objective This study aims to examine patients’ health needs during a natural crisis by analyzing the electronic messages sent during Hurricane Harvey to guide future disaster planning efforts. Methods We explored patient portal use data from a large Greater Houston area health care system focusing on the initial week of the Hurricane Harvey disaster, beginning with the date of landfall, August 25, 2017, to August 31, 2017. A mixed methods approach was used to assess patients’ immediate health needs and concerns during the disruption of access to routine and emergent medical care. Quantitative analysis used logistic regression models to assess the predictive characteristics of patients using the portal during Hurricane Harvey. This study also included encounters by type (emergency, inpatient, observation, outpatient, and outpatient surgery) and time (before, during, and after Hurricane Harvey). For qualitative analysis, the content of these messages was examined using the constant comparative method to identify emerging themes found within the message texts. Results Out of a total of 557,024 patients, 4079 (0.73%) sent a message during Hurricane Harvey, whereas 31,737 (5.69%) used the portal. Age, sex, race, and ethnicity were predictive factors for using the portal and sending a message during the natural disaster. We found that prior use of the patient portal increased the likelihood of portal use during Hurricane Harvey (odds ratio 13.688, 95% CI 12.929-14.491) and of sending a portal message during the disaster (odds ratio 14.172, 95% CI 11.879-16.907). Having an encounter 4 weeks before or after Hurricane Harvey was positively associated with increased use of the portal and sending a portal message. Patients with encounters during the main Hurricane Harvey week had a higher increased likelihood of portal use across all five encounter types. Qualitative themes included: access, prescription requests, medical advice (chronic conditions, acute care, urgent needs, and Hurricane Harvey–related injuries), mental health, technical difficulties, and provider constraints. Conclusions The patient portal can be a useful tool for communication between patients and providers to address the urgent needs and concerns of patients as a natural disaster unfolds. This was the first known study to include encounter data to understand portal use compared with care provisioning. Prior use was predictive of both portal use and message sending during Hurricane Harvey. These findings could inform the types of demands that may arise in future disaster situations and can serve as the first step in intentionally optimizing patient portal usability for emergency health care management during natural disasters.

Background In the UK, acute mental healthcare is provided by in-patient wards and crisis resolution teams. Readmission to acute care following discharge is common. Acute day units (ADUs) are also provided in some areas. Aims To assess predictors of readmission to acute mental healthcare following discharge in England, including availability of ADUs. Method We enrolled a national cohort of adults discharged from acute mental healthcare in the English National Health Service (NHS) between 2013 and 2015, determined the risk of readmission to either in-patient or crisis teams, and used multivariable, multilevel logistic models to evaluate predictors of readmission. Results Of a total of 231 998 eligible individuals discharged from acute mental healthcare, 49 547 (21.4%) were readmitted within 6 months, with a median time to readmission of 34 days (interquartile range 10–88 days). Most variation in readmission (98%) was attributable to individual patient-level rather than provider (trust)-level effects (2.0%). Risk of readmission was not associated with local availability of ADUs (adjusted odds ratio 0.96, 95% CI 0.80–1.15). Statistically significant elevated risks were identified for participants who were female, older, single, from Black or mixed ethnic groups, or from more deprived areas. Clinical predictors included shorter index admission, psychosis and being an in-patient at baseline. Conclusions Relapse and readmission to acute mental healthcare are common following discharge and occur early. Readmission was not influenced significantly by trust-level variables including availability of ADUs. More support for relapse prevention and symptom management may be required following discharge from acute mental healthcare.

Background The COVID-19 pandemic has necessitated a rapid increase of space in highly infectious disease intensive care units (ICUs). At Houston Methodist Hospital (HMH), a virtual intensive care unit (vICU) was used amid the COVID-19 outbreak. Objective The aim of this paper was to detail the novel adaptations and rapid expansion of the vICU that were applied to achieve patient-centric solutions while protecting staff and patients’ families during the pandemic. Methods The planned vICU implementation was redirected to meet the emerging needs of conversion of COVID-19 ICUs, including alterations to staged rollout timing, virtual and in-person staffing, and scope of application. With the majority of the hospital critical care physician workforce redirected to rapidly expanded COVID-19 ICUs, the non–COVID-19 ICUs were managed by cardiovascular surgeons, cardiologists, neurosurgeons, and acute care surgeons. HMH expanded the vICU program to fill the newly depleted critical care expertise in the non–COVID-19 units to provide urgent, emergent, and code blue support to all ICUs. Results Virtual family visitation via the Consultant Bridge application, palliative care delivery, and specialist consultation for patients with COVID-19 exemplify the successful adaptation of the vICU implementation. Patients with COVID-19, who were isolated and separated from their families to prevent the spread of infection, were able to virtually see and hear their loved ones, which bolstered the mental and emotional status of those patients. Many families expressed gratitude for the ability to see and speak with their loved ones. The vICU also protected medical staff and specialists assigned to COVID-19 units, reducing exposure and conserving personal protective equipment. Conclusions Telecritical care has been established as an advantageous mechanism for the delivery of critical care expertise during the expedited rollout of the vICU at Houston Methodist Hospital. Overall responses from patients, families, and physicians are in favor of continued vICU care; however, further research is required to examine the impact of innovative applications of telecritical care in the treatment of critically ill patients.

Background Hospital healthcare workers (HCW), in particular those involved in the clinical care of COVID-19 cases, are presumably exposed to a higher risk of acquiring the disease than the general population. Methods Between April 16 and 30, 2020 we conducted a prospective, SARS-CoV-2 seroprevalence study in HCWs in Southern Switzerland. Participants were hospital personnel with varying COVID-19 exposure risk depending on job function and working site. They provided personal information (including age, sex, occupation, and medical history) and self-reported COVID-19 symptoms. Odds ratio (OR) of seropositivity to IgG antibodies was estimated by univariate and multivariate logistic regressions. Findings Among 4726 participants, IgG antibodies to SARS-CoV-2 were detected in 9.6% of the HCWs. Seropositivity was higher among HCWs working on COVID-19 wards (14.1% (11.9–16.5)) compared to other hospital areas at medium (10.7% (7.6–14.6)) or low risk exposure (7.3% (6.4–8.3)). OR for high vs. medium wards risk exposure was 1.42 (0.91–2.22), P = 0.119, and 1.98 (1.55–2.53), P, The Lancet Regional Health - Europe, 1, ISSN:2666-7762

Background Coronavirus disease-2019 (COVID-19) has effected major changes to healthcare delivery within acute care settings. Rapid response calls (RRCs) in healthcare organisations have been effective at identifying and urgently managing acute clinical deterioration. Code-95 RRC were introduced to prewarn healthcare workers (HCWs) attending to patients suspected or confirmed with COVID-19 infection. Aims The primary aim of the study was to identify the personal impact of the COVID-19 pandemic on HCWs involved in attending Code-95 RRC. We sought to evaluate their perception of risks and effects on wellbeing and identify potential opportunities for improvement at organisational levels. Methods We undertook a detailed survey on HCWs attending Code-95 RRCs, including questions that sought to understand the impact of the pandemic as well as their perception of infection risk and emotional wellbeing. This was a substudy of the prospective cross-sectional single-centre survey of HCWs that was conducted over a 3-week period at Frankston Hospital, Victoria, Australia. We adopted a quantitative content analysis approach for free-text responses in this secondary analysis. Results Four hundred two free-text comments were received from 297 respondents and were analysed. More than two-thirds (68%, 223/297) were female. Of all comments, 39% (155/402) were related to organisational issues including communication, confusion due to constantly changing infection control policies, and insufficient training. Thirty-three percent of comments (133/402) raised issues regarding the adequacy of personal protective equipment. Anxiety was reported in 25% of comments (101/402) with concerns predominantly relating to emotional stress and fatigue, risks of virus exposure and transmitting the infection to others, and COVID-19 precautions impairing care delivery. Conclusion(s) Our study raises important issues that have relevance for all healthcare organisations in the management of patients with COVID-19. These include the importance of improving communication, especially when infection control policies are revised, optimising training, maintaining adequate personal protective equipment, and HCW support. Early recognition and management of these issues are crucial to maintain optimal healthcare delivery.

Background Electronic health records (EHRs) are a central feature of care delivery in acute care hospitals; however, the financial and quality outcomes associated with system performance remain unclear. Objective In this study, we aimed to evaluate the association between the top 3 EHR vendors and measures of hospital financial and quality performance. Methods This study evaluated 2667 hospitals with Cerner, Epic, or Meditech as their primary EHR and considered their performance with regard to net income, Hospital Value–Based Purchasing Total Performance Score (TPS), and the unweighted subdomains of efficiency and cost reduction; clinical care; patient- and caregiver-centered experience; and patient safety. We hypothesized that there would be a difference among the 3 vendors for each measure. Results None of the EHR systems were associated with a statistically significant financial relationship in our study. Epic was positively associated with TPS outcomes (R2=23.6%; β=.0159, SE 0.0079; P=.04) and higher patient perceptions of quality (R2=29.3%; β=.0292, SE 0.0099; P=.003) but was negatively associated with patient safety quality scores (R2=24.3%; β=−.0221, SE 0.0102; P=.03). Cerner and Epic were positively associated with improved efficiency (R2=31.9%; Cerner: β=.0330, SE 0.0135, P=.01; Epic: β=.0465, SE 0.0133, P Conclusions The results of this study provide evidence of a difference in clinical outcome performance among the top 3 EHR vendors and may serve as supportive evidence for health care leaders to target future capital investments to improve health care delivery.

Background For people in mental health crisis, acute day units (ADUs) provide daily structured sessions and peer support in non-residential settings, often as an addition or alternative to crisis resolution teams (CRTs). There is little recent evidence about outcomes for those using ADUs, particularly compared with those receiving CRT care alone. Aims We aimed to investigate readmission rates, satisfaction and well-being outcomes for people using ADUs and CRTs. Method We conducted a cohort study comparing readmission to acute mental healthcare during a 6-month period for ADU and CRT participants. Secondary outcomes included satisfaction (Client Satisfaction Questionnaire), well-being (Short Warwick–Edinburgh Mental Well-being Scale) and depression (Center for Epidemiologic Studies Depression Scale). Results We recruited 744 participants (ADU: n = 431, 58%; CRT: n = 312, 42%) across four National Health Service trusts/health regions. There was no statistically significant overall difference in readmissions: 21% of ADU participants and 23% of CRT participants were readmitted over 6 months (adjusted hazard ratio 0.78, 95% CI 0.54–1.14). However, readmission results varied substantially by setting. At follow-up, ADU participants had significantly higher Client Satisfaction Questionnaire scores (2.5, 95% CI 1.4–3.5, P < 0.001) and well-being scores (1.3, 95% CI 0.4–2.1, P = 0.004), and lower depression scores (−1.7, 95% CI −2.7 to −0.8, P < 0.001), than CRT participants. Conclusions Patients who accessed ADUs demonstrated better outcomes for satisfaction, well-being and depression, and no significant differences in risk of readmission, compared with those who only used CRTs. Given the positive outcomes for patients, and the fact that ADUs are inconsistently provided in the National Health Service, their value and place in the acute care pathway needs further consideration and research.

Background Current approaches to early detection of clinical deterioration in children have relied on intermittent track-and-trigger warning scores such as the Pediatric Early Warning Score (PEWS) that rely on periodic assessment and vital sign entry. There are limited data on the utility of these scores prior to events of decompensation leading to pediatric intensive care unit (PICU) transfer. Objective The purpose of our study was to determine the accuracy of recorded PEWS scores, assess clinical reasons for transfer, and describe the monitoring practices prior to PICU transfer involving acute decompensation. Methods We conducted a retrospective cohort study of patients ≤21 years of age transferred emergently from the acute care pediatric floor to the PICU due to clinical deterioration over an 8-year period. Clinical charts were abstracted to (1) determine the clinical reason for transfer, (2) quantify the frequency of physiological monitoring prior to transfer, and (3) assess the timing and accuracy of the PEWS scores 24 hours prior to transfer. Results During the 8-year period, 72 children and adolescents had an emergent PICU transfer due to clinical deterioration, most often due to acute respiratory distress. Only 35% (25/72) of the sample was on continuous telemetry or pulse oximetry monitoring prior to the transfer event, and 47% (34/72) had at least one incorrectly documented PEWS score in the 24 hours prior to the event, with a score underreporting the actual severity of illness. Conclusions This analysis provides support for the routine assessment of clinical deterioration and advocates for more research focused on the use and utility of continuous cardiorespiratory monitoring for patients at risk for emergent transfer.

Background As virtual reality (VR) technologies become increasingly accessible and affordable, clinicians are eager to try VR therapy as a novel means to manage behavioral and psychological symptoms of dementia, which are exacerbated during acute care hospitalization, with the goal of reducing the use of antipsychotics, sedatives, and physical restraints associated with negative adverse effects, increased length of stay, and caregiver burden. To date, no evaluations of immersive VR therapy have been reported for patients with dementia in acute care hospitals. Objective This study aimed to determine the feasibility (acceptance, comfort, and safety) of using immersive VR therapy for people living with dementia (mild, moderate, and advanced) during acute care hospitalization and explore its potential to manage behavioral and psychological symptoms of dementia. Methods A prospective, longitudinal pilot study was conducted at a community teaching hospital in Toronto. The study was nonrandomized and unblinded. A total of 10 patients aged >65 years (mean 86.5, SD 5.7) diagnosed with dementia participated in one or more research coordinator–facilitated sessions of viewing immersive 360° VR footage of nature scenes displayed on a Samsung Gear VR head-mounted display. This mixed-methods study included review of patient charts, standardized observations during the intervention, and pre- and postintervention semistructured interviews about the VR experience. Results All recruited participants (N=10) completed the study. Of the 10 participants, 7 (70%) displayed enjoyment or relaxation during the VR session, which averaged 6 minutes per view, and 1 (10%) experienced dizziness. No interference between the VR equipment and hearing aids or medical devices was reported. Conclusions It is feasible to expose older people with dementia of various degrees admitted to an acute care hospital to immersive VR therapy. VR therapy was found to be acceptable to and comfortable by most participants. This pilot study provides the basis for conducting the first randomized controlled trial to evaluate the impact of VR therapy on managing behavioral and psychological symptoms of dementia in acute care hospitals.

Background Tobacco use, physical inactivity, and poor diet are associated with morbidity and premature death. Health promotion and primary prevention counseling, advice, and support by a primary care provider lead to behavior change attempts among patients. However, although physicians consider preventative health important, there is often a larger focus on symptom presentation, acute care, and medication review. Objective This study evaluated the feasibility, adoption, and integration of the tablet-based Risk Factor Identification Tool (RFIT) that uses algorithmic information technology to support obtainment of patient risk factor information in primary care clinics. Methods This is a pragmatic developmental evaluation. Each clinic developed a site-specific implementation plan adapted to their workflow. The RFIT was implemented in 2 primary care clinics located in Manitoba. Perceptions of 10 clinic staff and 8 primary care clinicians informed this evaluation. Results Clinicians reported a smooth and fast transfer of RFIT responses to an electronic medical record encounter note. The RFIT was used by 207 patients, with a completion rate of 86%. Clinic staff reported that approximately 3%-5% of patients declined the use of the RFIT or required assistance to use the tablet. Among the 207 patients that used the RFIT, 22 (12.1%) smoked, 39 (21.2%) felt their diet could be improved, 20 (12.0%) reported high alcohol consumption, 103 (56.9%) reported less than 150 minutes of physical activity a week, and 6 (8.2%) patients lived in poverty. Clinicians suggested that although a wide variety of patients were able to use the tablet-based RFIT, implemented surveys should be tailored to patient subgroups. Conclusions Clinicians and clinic staff positively reviewed the use of information technology in primary care. Algorithmic information technology can collect, organize, and synthesize individual health information to inform and tailor primary care counseling to the patients’ context and readiness to change. The RFIT is a user-friendly tool that provides an effective method for obtaining risk factor information from patients. It is particularly useful for subsets of patients lacking continuity in the care they receive. When implemented within a context that can support practical interventions to address identified risk factors, the RFIT can inform brief interventions within primary care.

Key summary points Aim To assess impact of frailty screening and two markers of illness severity on survival following discharge from the hospital. Findings Independently of age, ward (acute geriatric and general medical) and comorbidity, both higher degree of frailty and illness severity associated with reduced survival probability following discharge. The impact of frailty on survival was higher in those experiencing high clinical and laboratory illness severity. Message The prognostic value of frailty screening increased when performed in conjunction with two markers of illness severity. Supplementary Information The online version contains supplementary material available at 10.1007/s41999-021-00555-8., Purpose Study associations between frailty, illness severity and post-discharge survival in older adults admitted to medical wards with acute clinical conditions. Methods Prospective cohort study of 195 individuals (mean age 86; 63% females) admitted to two medical wards with acute illness, followed up for all-cause mortality for 20 months after discharge. Ward physicians screened for frailty and quantified its degree from one to eight using Clinical Frailty Scale (CFS), while clinical illness severity was estimated by New Early Warning Score 2 (NEWS2) and laboratory illness severity was calculated by a frailty index (FI-lab) using routine blood tests. Results CFS, NEWS2 and FI-lab scores were independently associated with post-discharge survival in an adjusted Cox proportional hazards model with age, ward category (acute geriatric and general medical) and comorbidity as covariates. Adjusted hazard ratios and 95% confidence intervals were 1.54 (1.24–1.91) for CFS, 1.12 (1.03–1.23) for NEWS2, and 1.02 (1.00–1.05) for FI-lab. A frailty × illness severity category interaction effect (p = 0.003), suggested that the impact of frailty on survival was greater in those experiencing higher levels of illness severity. Among patients with at least moderate frailty (CFS six to eight) and high illness severity according to both NEWS2 and FI-lab, two (13%) were alive at follow-up. Conclusion Frailty screening aided prognostication of survival following discharge in older acutely ill persons admitted to medical wards. The prognostic value of frailty increased when combined with readily available illness severity markers acquired during admission. Supplementary Information The online version contains supplementary material available at 10.1007/s41999-021-00555-8.

This secondary analysis used a 10% random sample from the national Outcome and Assessment Information Set (OASIS) of Medicare beneficiaries ≥ 65 years old who received home health (HH) care in 2017 (N=646,109). We examined the risk of hospital admission during a 60-day HH episode among Medicare home health patients in different living arrangements, including living alone at home (23.8%), living with other at home (64.8%), and residing in assisted facility (AL) facilities (11.4%). At the start of the HH episode, AL residents were older, more likely to have cognitive impairment, depressive symptoms, and limitations in activities of daily living (ADL) than those living at home at home (alone/with others). In the multivariable logistic regression model of hospital admission adjusting for demographic status (age, sex, race/ethnicity, Medicaid status), cognitive impairment, depressive symptoms, and ADL limitations, when compared to HH patients living with others at home (reference), AL residents were 15% less likely to have hospital admission (Odds Ratio [OR]=0.85, 95% Confidence Interval [CI]: 0.84, 0.88, p

Background Diabetes affects more than 30 million patients across the United States. With such a large disease burden, even a small error in classification can be significant. Currently billing codes, assigned at the time of a medical encounter, are the “gold standard” reflecting the actual diseases present in an individual, and thus in aggregate reflect disease prevalence in the population. These codes are generated by highly trained coders and by health care providers but are not always accurate. Objective This work provides a scalable deep learning methodology to more accurately classify individuals with diabetes across multiple health care systems. Methods We leveraged a long short-term memory-dense neural network (LSTM-DNN) model to identify patients with or without diabetes using data from 5 acute care facilities with 187,187 patients and 275,407 encounters, incorporating data elements including laboratory test results, diagnostic/procedure codes, medications, demographic data, and admission information. Furthermore, a blinded physician panel reviewed discordant cases, providing an estimate of the total impact on the population. Results When predicting the documented diagnosis of diabetes, our model achieved an 84% F1 score, 96% area under the curve–receiver operating characteristic curve, and 91% average precision on a heterogeneous data set from 5 distinct health facilities. However, in 81% of cases where the model disagreed with the documented phenotype, a blinded physician panel agreed with the model. Taken together, this suggests that 4.3% of our studied population have either missing or improper diabetes diagnosis. Conclusions This study demonstrates that deep learning methods can improve clinical phenotyping even when patient data are noisy, sparse, and heterogeneous.

As the COVID-19 pandemic continues to escalate and place pressure on hospital system resources, a proper screening and risk stratification score is essential. We aimed to develop a risk score to identify patients with increased risk of COVID-19, allowing proper identification and allocation of limited resources. A retrospective study was conducted of 338 patients who were admitted to the hospital from the emergency room to regular floors and tested for COVID-19 at an acute care hospital in the Metropolitan Washington D.C. area. The dataset was split into development and validation sets with a ratio of 6:4. Demographics, presenting symptoms, sick contact, triage vital signs, initial laboratory and chest X-ray results were analysed to develop a prediction model for COVID-19 diagnosis. Multivariable logistic regression was performed in a stepwise fashion to develop a prediction model, and a scoring system was created based on the coefficients of the final model. Among 338 patients admitted to the hospital from the emergency room, 136 (40.2%) patients tested positive for COVID-19 and 202 (59.8%) patients tested negative. Sick contact with suspected or confirmed COVID-19 case (3 points), nursing facility residence (3 points), constitutional symptom (1 point), respiratory symptom (1 point), gastrointestinal symptom (1 point), obesity (1 point), hypoxia at triage (1 point) and leucocytosis (−1 point) were included in the prediction score. A risk score for COVID-19 diagnosis achieved area under the receiver operating characteristic curve of 0.87 (95% confidence interval (CI) 0.82–0.92) in the development dataset and 0.85 (95% CI 0.78–0.92) in the validation dataset. A risk prediction score for COVID-19 can be used as a supplemental tool to assist clinical decision to triage, test and quarantine patients admitted to the hospital from the emergency room.

Background Obtaining accurate clinical information about recent acute care visits is extremely important for outpatient providers. However, documents used to communicate this information are often difficult to use. This puts patients at risk of adverse events. Elderly patients who are seen by more providers and have more care transitions are especially vulnerable. Objective This study aimed to (1) identify the information about elderly patients’ recent acute care visits needed to coordinate their care, (2) use this information to assess discharge summaries, and (3) provide recommendations to help improve the quality of electronic health record (EHR)–generated discharge summaries, thereby increasing patient safety. Methods A literature review, clinician interviews, and a survey of outpatient providers were used to identify and categorize data needed to coordinate care for recently discharged elderly patients. Based upon those data, 2 guidelines for creating useful discharge summaries were created. The new guidelines, along with 17 previously developed medical documentation usability heuristics, were applied to assess 4 simulated elderly patient discharge summaries. Results The initial research effort yielded a list of 29 items that should always be included in elderly patient discharge summaries and a list of 7 “helpful, but not always necessary” items. Evaluation of 4 deidentified elderly patient discharge summaries revealed that none of the documents contained all 36 necessary items; between 14 and 18 were missing. The documents each had several other issues, and they differed significantly in organization, layout, and formatting. Conclusions Variations in content and structure of discharge summaries in the United States make them unnecessarily difficult to use. Standardization would benefit both patients, by lowering the risk of care transition–related adverse events, and outpatient providers, by helping reduce frustration that can contribute to burnout. In the short term, acute care providers can help improve the quality of their discharge summaries by working with EHR vendors to follow recommendations based upon this study. Meanwhile, additional human factors work should determine the most effective way to organize and present information in discharge summaries, to facilitate effective standardization.

Background Digital health has the potential to revolutionize health care by improving accessibility, patient experience, outcomes, productivity, safety, and cost efficiency. In England, the NHS (National Health Service) Long Term Plan promised the right to access digital-first primary care by March 31, 2024. However, there are few global, fully digital-first providers and limited research into their effects on cost from a health system perspective. Objective The aim of this study was to evaluate the impact of highly accessible, digital-first primary care on acute hospital spending. Methods A retrospective, observational analysis compared acute hospital spending on patients registered to a 24/7, digital-first model of NHS primary care with that on patients registered to all other practices in North West London Collaboration of Clinical Commissioning Groups. Acute hospital spending data per practice were obtained under a freedom of information request. Three versions of NHS techniques designed to fairly allocate funding according to need were used to standardize or “weight” the practice populations; hence, there are 3 results for each year. The weighting adjusted the populations for characteristics that impact health care spending, such as age, sex, and deprivation. The total spending was divided by the number of standardized or weighted patients to give the spending per weighted patient, which was used to compare the 2 groups in the NHS financial years (FY) 2018-2019 (FY18/19) and 2019-2020 (FY19/20). FY18/19 costs were adjusted for inflation, so they were comparable with the values of FY19/20. Results The NHS spending on acute hospital care for 2.43 million and 2.54 million people (FY18/19 and FY19/20) across 358 practices and 49 primary care networks was £1.6 billion and £1.65 billion (a currency exchange rate of £1=US $1.38 is applicable), respectively. The spending on acute care per weighted patient for Babylon GP at Hand members was 12%, 31%, and 54% (£93, P=.047; £223, P Conclusions Patients with access to 24/7, digital-first primary care incurred significantly lower acute hospital costs.

Introduction The incidences and types of missed nursing care in the acute care and community sectors are both ubiquitous and quantifiable, however, there are few research studies relating to the type and frequency of missed maternity-based care for mothers and families. The aim of this study is to estimate the incidences and types of Australian missed midwifery care and to identify those factors that have causal links to it. Methods A non-experimental, descriptive method using a Likert developed MISSCARE scale was used to ascertain consensus estimates made by Australian midwives. Electronic invitations were extended to their membership using an inclusive link to the MISSCARE survey. Inclusion criteria were all ANMF members who were midwives and currently employed within the Australian public and private healthcare systems. Data analysis was undertaken using both Rasch analysis and Structural Equation Modelling. Results The type and frequency of missed Australian midwifery care can be quantified and several demographic factors are significant predictor variables for overall missed midwifery care. The most prevalent aspects of missed care in the Australian midwifery setting are midwives’ hand hygiene, supportive care, perinatal education, and surveillance type midwifery practices. Conclusions As the frequencies and types of missed midwifery care in Australia have been identified, it is possible for midwives to be mindful of minimising care omissions related to hand hygiene, providing supportive care and education to mothers as well as surveillance-type midwifery practices.

Background Patients with end-stage liver disease (ESLD) have limited treatment options and have a deteriorated quality of life with an uncertain prognosis. Early identification of ESLD patients with a poor prognosis is valuable, especially for palliative care. However, it is difficult to predict ESLD patients that require either acute care or palliative care. Objective We sought to create a machine-learning monitoring system that can predict mortality or classify ESLD patients. Several machine-learning models with visualized graphs, decision trees, ensemble learning, and clustering were assessed. Methods A retrospective cohort study was conducted using electronic medical records of patients from Wan Fang Hospital and Taipei Medical University Hospital. A total of 1214 patients from Wan Fang Hospital were used to establish a dataset for training and 689 patients from Taipei Medical University Hospital were used as a validation set. Results The overall mortality rate of patients in the training set and validation set was 28.3% (257/907) and 22.6% (145/643), respectively. In traditional clinical scoring models, prothrombin time-international normalized ratio, which was significant in the Cox regression (P Conclusions Medical artificial intelligence has become a cutting-edge tool in clinical medicine, as it has been found to have predictive ability in several diseases. The machine-learning monitoring system developed in this study involves multifaceted analyses, which include various aspects for evaluation and diagnosis. This strength makes the clinical results more objective and reliable. Moreover, the visualized interface in this system offers more intelligible outcomes. Therefore, this machine-learning monitoring system provides a comprehensive approach for assessing patient condition, and may help to classify acute death patients and palliative care patients. Upon further validation and improvement, the system may be used to help physicians in the management of ESLD patients.

Background Patient and staff experiences provide important insights into care quality, but health systems have difficulty using these data to improve care. Little attention has been paid to understanding how patient experience feedback can act as a prompt to reflection in practice in the clinical setting. Objective We aimed to identify the ways in which different types of patient experience feedback act as a trigger or prompt for engagement in reflection in clinical practice in acute hospital settings and identify important considerations for enhancing the value of patient experience data for reflective learning. Methods We conducted an ethnographic study in eight acute care units in three NHS hospital trusts in England, including 140 hours of observations and 45 semi‐structured interviews with nursing, medical and managerial staff working in acute medical units and intensive care units. The data were analysed thematically. Findings We distinguished between formal patient experience data sources: data purposively collected and collated to capture the patient experience of care, generally at organizational level, including surveys, complaints and comments; and informal sources of feedback on the patient experience recognized by staff alongside the formal data. We also identified patient narratives as an ‘in between’ source of data. The impact of different types of patient feedback in triggering reflection primarily depended on the extent to which the feedback was experienced as personally relevant, meaningful and emotionally salient. Discussion Patient experience feedback is multi‐faceted, but our study suggests that all types of feedback could be harnessed more effectively to prompt reflection.

The emergency department (ED) is uniquely positioned to improve care for older adults and affect patient outcome trajectories. The Mount Sinai Hospital ED cares for 15,000+ patients >65 years old annually. From 2012 to 2015, emergency care in a dedicated Geriatric Emergency Department (GED) replicated an Acute Care for Elderly (ACE) model, with focused assessments on common geriatric syndromes and daily comprehensive interdisciplinary team (IDT) meetings for high-risk patients. The IDT, comprised of an emergency physician, geriatrician, transitional care nurse (TCN) or geriatric nurse practitioner (NP), ED nurse, social worker (SW), pharmacist (RX), and physical therapist (PT), developed comprehensive care plans for vulnerable older adults at high risk for morbidity, ED revisit, functional decline, or potentially avoidable hospital admission. Patients were identified using the Identification of Seniors at Risk (ISAR) screen, followed by geriatric assessments to assist in the evaluation of elders in the ED. On average, 38 patients per day were evaluated by the IDT with approximately 30% of these patients formally discussed during IDT rounds. Input from the IDT about functional and cognitive, psychosocial, home safety, and pharmacological assessments influenced decisions on hospital admission, care transitions, access to community based resources, and medication management. This paper describes the role of a Geriatric Emergency Medicine interdisciplinary team as an innovative ACE model of care for older adults who present to the ED.

BackgroundGeneralised anxiety disorder and symptoms are associated with poor physical, emotional and social functioning and frequent primary and acute care visits. We investigated recent temporal trends in anxiety and related mental illness in UK general practice.AimsThe aims of this analysis are to examine temporal changes in recording of generalised anxiety in primary care and initial pharmacologic treatments.MethodAnnual incidence rates of generalised anxiety diagnoses and symptoms were calculated from 795 UK general practices contributing to The Health Improvement Network (THIN) database between 1998 and 2018. Poisson mixed regression was used to account for age, gender and general practitioner practice. Subsequent pharmacologic treatment was examined.ResultsGeneralised anxiety recording rates increased in both genders aged 18–24 between 2014 and 2018. For women, the increase was from 17.06 to 23.33/1000 person years at risk (PYAR); for men, 8.59 to 11.65/1000 PYAR. Increases persisted for a composite of anxiety and depression (49.74 to 57.81/1000 PYAR for women; 25.41 to 31.45/1000 PYAR for men). Smaller increases in anxiety were seen in both genders age 25–34 and 35–44. Anxiety rates among older patients remained stable, although a composite of anxiety and depression decreased for older women. About half of drug-naïve patients were prescribed anxiety drugs within 1 year following diagnosis. The most common choice was a selective serotonin reuptake inhibitor. Benzodiazepine prescription rate has fallen steadily.ConclusionsWe observed a substantial increase in general practitioner consulting for generalised anxiety and depression recently, concentrated within younger people and in particular women.

Background Hand hygiene and low-level disinfection of equipment behaviors among hospital staff are some of the leading cost-effective methods to reduce hospital-acquired infections (HAI) among patients. Objective The aim of this study is to examine hand hygiene and low-level disinfection of equipment practices in a central Texas hospital and to explore pertaining gaps, perceptions, and challenges. Methods Data were collected using a multipronged mixed methods approach that included the following: (1) observation of hand hygiene and low-level disinfection practices (12 and 8 units during morning and evening shifts, respectively); (2) observation of usability/placement of hand sanitizer dispensers; (3) semistructured interviews; and (4) a follow-up email survey. Results In total, 222 (156 morning shift and 66 evening shift) staff members were observed. Of 526 hand hygiene and 33 low-level disinfection opportunities, compliance was observed 410 (78%) and 17 (51%) times, respectively. Overall, 6 units (50%) had ≥0.80 (favorable) hand hygiene compliance during the morning shift and 2 units (25%) had ≥0.80 hand hygiene compliance during the evening shift. Aggregated low-level disinfection compliance was 0.54 during the morning and 0.33 during the evening. Overall, the odds of noncompliant hand hygiene behavior were 1.4 times higher among staff who worked during night shifts compared to day shifts; however, this relationship was not statistically significant (95% CI 0.86-2.18; P=.18). Noncompliant behavior was most likely among unit B staff during the evening; however, this relationship was not statistically significant (OR 5.3, 95% CI 0.84-32.9; P=.07) All units, except one, had similar hand sanitizer dispenser usability characteristics. In the qualitative part of the study, the following challenges were identified: “shortage of time while seeing patients,” “sometimes the staff forgets,” “concern about drying hands,” “behavior is difficult or requires reminders,” and “there may be issues with resources or access to supplies to perform these behaviors.” Staff also stated that “a process that is considered effective is the Stop the Line program,” and that the “behavior is easy and automatic.” Conclusions Hand hygiene and low-level disinfection compliance is dependent on several personal and nonpersonal factors. Issues such as time constraints, peer pressure, work culture, available resources, and understanding of guidelines could influence staff behavior. The information collected through this study can be used to re-examine similar or related issues at a larger scale.

Background Video-mediated clinical consultations offer potential benefits over conventional face-to-face in terms of access, convenience, and sometimes cost. The improved technical quality and dependability of video-mediated consultations has opened up the possibility for more widespread use. However, questions remain regarding clinical quality and safety. Video-mediated consultations are sometimes criticized for being not as good as face-to-face, but there has been little previous in-depth research on their interactional dynamics, and no agreement on what a good video consultation looks like. Objective Using conversation analysis, this study aimed to identify and analyze the communication strategies through which video-mediated consultations are accomplished and to produce recommendations for patients and clinicians to improve the communicative quality of such consultations. Methods We conducted an in-depth analysis of the clinician-patient interaction in a sample of video-mediated consultations and a comparison sample of face-to-face consultations drawn from 4 clinical settings across 2 trusts (1 community and 1 acute care) in the UK National Health Service. The video dataset consisted of 37 recordings of video-mediated consultations (with diabetes, antenatal diabetes, cancer, and heart failure patients), 28 matched audio recordings of face-to-face consultations, and fieldnotes from before and after each consultation. We also conducted 37 interviews with staff and 26 interviews with patients. Using linguistic ethnography (combining analysis of communication with an appreciation of the context in which it takes place), we examined in detail how video interaction was mediated by 2 software platforms (Skype and FaceTime). Results Patients had been selected by their clinician as appropriate for video-mediated consultation. Most consultations in our sample were technically and clinically unproblematic. However, we identified 3 interactional challenges: (1) opening the video consultation, (2) dealing with disruption to conversational flow (eg, technical issues with audio and/or video), and (3) conducting an examination. Operational and technological issues were the exception rather than the norm. In all but 1 case, both clinicians and patients (deliberately or intuitively) used established communication strategies to successfully negotiate these challenges. Remote physical examinations required the patient (and, in some cases, a relative) to simultaneously follow instructions and manipulate technology (eg, camera) to make it possible for the clinician to see and hear adequately. Conclusions A remote video link alters how patients and clinicians interact and may adversely affect the flow of conversation. However, our data suggest that when such problems occur, clinicians and patients can work collaboratively to find ways to overcome them. There is potential for a limited physical examination to be undertaken remotely with some patients and in some conditions, but this appears to need complex interactional work by the patient and/or their relatives. We offer preliminary guidance for patients and clinicians on what is and is not feasible when consulting via a video link. International Registered Report Identifier (IRRID) RR2-10.2196/10913

Background Falls in hospitals are the most common risk factor that affects the safety of inpatients and can result in severe harm. Therefore, preventing falls is one of the most important areas of risk management for health care organizations. However, existing methods for predicting falls are laborious and costly. Objective The objective of this study is to verify whether hospital inpatient falls can be predicted through the analysis of a single input—unstructured nursing records obtained from Japanese electronic medical records (EMRs)—using a natural language processing (NLP) algorithm and machine learning. Methods The nursing records of 335 fallers and 408 nonfallers for a 12-month period were extracted from the EMRs of an acute care hospital and randomly divided into a learning data set and test data set. The former data set was subjected to NLP and machine learning to extract morphemes that contributed to separating fallers from nonfallers to construct a model for predicting falls. Then, the latter data set was used to determine the predictive value of the model using receiver operating characteristic (ROC) analysis. Results The prediction of falls using the test data set showed high accuracy, with an area under the ROC curve, sensitivity, specificity, and odds ratio of mean 0.834 (SD 0.005), mean 0.769 (SD 0.013), mean 0.785 (SD 0.020), and mean 12.27 (SD 1.11) for five independent experiments, respectively. The morphemes incorporated into the final model included many words closely related to known risk factors for falls, such as the use of psychotropic drugs, state of consciousness, and mobility, thereby demonstrating that an NLP algorithm combined with machine learning can effectively extract risk factors for falls from nursing records. Conclusions We successfully established that falls among hospital inpatients can be predicted by analyzing nursing records using an NLP algorithm and machine learning. Therefore, it may be possible to develop a fall risk monitoring system that analyzes nursing records daily and alerts health care professionals when the fall risk of an inpatient is increased.

The SARS-CoV-2 pandemic has led to a dramatic crisis of Health Care Systems worldwide, and older people have been among the most disadvantaged. Specific recommendations and reports have been released both at International and National level, regarding the diagnosis and management of COVID-19 in the elderly. However, little has been proposed for an appropriate response to older, frail and multimorbid patients in different settings of care (acute care units, long term care facilities, nursing homes and primary care) and for the management of geriatric syndromes (i.e. delirium, sarcopenia, falls). We presume that the current pandemic of will leads to substantial changes in health care systems, and we suggest some key guide principles that could inspire the provision of healthcare services to older people and their families. These principles are primarily directed to physicians and nurses working in the geriatric field but could also be useful for other specialists.

The majority of available US-published reports present populations with community spread in urban areas. The objective of this report is to describe a rural healthcare system's utilisation of therapeutic options available to treat Coronavirus Disease 2019 (COVID-19) and subsequent patient outcomes. A total of 150 patients were treated for COVID-19 at three hospitals in the Dakotas from 21 March 2020 to 30 April 2020. The most common pharmacological treatment regimens administered were zinc, hydroxychloroquine plus azithromycin and convalescent plasma. Adjunctive treatments included therapeutic anticoagulation, tocilizumab and corticosteroids. As of 1 June 2020, 127 patients have survived to hospital discharge, 12 patients remain hospitalised and 11 patients have expired. The efficacy of hydroxychloroquine and azithromycin use has yet to be determined but was not without risks of corrected QT interval prolongation and arrhythmias in our cohort. We did not appreciate any adverse effects that appeared related to tocilizumab or convalescent plasma administration in those patient subsets. These findings may provide insight into disease severity and treatment options in the rural setting with limited resources to participate in clinical trials and encourage larger comparative studies evaluating treatment efficacy.

Introduction At present, emergency guidelines do not differentiate between younger adults and older persons. The changing socioeconomic situation associated with the aging population will be challenging for the healthcare system and requires new medical guidelines to best accommodate it. Aim To analyze whether the age and comorbidities of a patient affect acute care surgical outcomes. Material and methods We performed a retrospective study of 161 patients who were admitted in emergency to the Department of General, Minimally Invasive and Elderly Surgery in Olsztyn between May and October 2017. Patients were divided into three age groups. Outcomes in patients older than 80 years were compared with corresponding statistical predictions of morbidity and mortality, as calculated using the Physiologic and Operative Severity Score for the enUmeration of Mortality and Morbidity (POSSUM). Results Patients in the 80+ age group had a higher mortality rate in comparison with those in the other age groups, and a higher number of comorbidities (p = 0.002 and p = 0.001, respectively). The POSSUM morbidity and mortality rates were significantly higher for the older patients who died than for the older patients who were discharged (p = 0.013 and p = 0.003, respectively). Conclusions Decisions about suitable therapy in the acute care setting should be made after consideration of the overall health of a patient. This study shows that age itself has a huge impact on postoperative results. The older the patient is, the higher the risk of perioperative death. We recommend patient evaluation using the POSSUM scale to better predict this risk.

Current knowledge of methicillin-resistant Staphylococcus aureus (MRSA) colonisation in relation to epidemiological characteristics is incomplete. We conducted a cross-sectional study at an acute-care tertiary infectious diseases hospital of MRSA isolates identified through routine surveillance from January 2009 to December 2011. We randomly selected 205 MRSA isolates (119 inpatients) from 798 isolates (427 inpatients) for molecular profiling using multilocus sequence typing. Multilevel multinomial logistic regression was used to estimate odds ratio (OR) assessing the predilection of MRSA strains for anatomic sites, and associations of strains with human immunodeficiency virus (HIV) infection. The most frequent sequence types (STs) were 239, 22 and 45. The proportion of ST22 increased over the sampling period, replacing ST239 as the dominant lineage. However, ST239 remained the most prevalent among HIV-seropositive individuals who were six times more likely to be colonised with this strain than non-HIV patients (adjusted OR (aOR) 6.44, 95% confidence interval (CI) 1.94–21.36). ST45 was >24 times more likely to be associated with perianal colonisation than in the nares, axillae and groin sites (aOR 24.20, 95% CI 1.45–403.26). This study underlines the clonal replacement of MRSA in Singapore as previously reported but revealed, in addition, key strain differences between HIV-infected and non-infected individuals hospitalised in the same environment. This research received no specific grant from any funding agency, commercial or not-for-profit sectors.

BACKGROUND: Patients are frequently discharged from the hospital before all test results have been finalized. Thirty to 40% of tests pending at discharge (TPADs) return potentially actionable results that could necessitate change in the patients’ management, often unbeknownst to their physicians. Delayed follow-up of TPADs can lead to patient harm. We sought to synthesize the existing literature on interventions intended to improve the management of TPADs, including interventions designed to enhance documentation of TPADs, increase physician awareness when TPAD results finalize post-discharge, decrease adverse events related to missed TPADs, and increase physician satisfaction with TPAD management. METHODS: We searched Medline, EMBASE, CINAHL, Cochrane Database of Systematic Reviews, Cochrane Database of Controlled Clinical Trials and Medline (January 1, 2000–November 10, 2016) for randomized controlled trials and prospective, controlled observational studies that evaluated interventions to improve follow-up of TPADs for adult patients discharged from acute care hospitals or emergency department settings. From each study we extracted characteristics of the intervention being evaluated and its impact on TPAD management. RESULTS: Nine studies met the criteria for inclusion. Six studies evaluated electronic discharge summary templates with a designated field for documenting TPADs, and three of six of these studies reported a significant improvement in documentation of TPADs in discharge summaries in pre- and post-intervention analysis. One study reported that auditing discharge summaries and providing feedback to physicians were associated with improved TPAD documentation in discharge summaries. Two studies found that email alerts when TPADs were finalized improved physicians' awareness of the results and documentation of their follow-up actions. Of the four studies that assessed patient morbidity, two showed a positive effect; however, none specifically measured the impact of their interventions on downstream patient harm due to delayed follow-up of TPADs. Three studies surveyed physicians’ attitudes towards the interventions, of which two studies reported improved physician satisfaction with TPAD management with the implementation of an enhanced discharge template and a notification system when TPADs finalize. DISCUSSION: Discharge summary templates, educational interventions for discharging physicians, and email alerts when TPAD results are finalized show promise in improving management of TPADs. Given the complexity of the processes necessary to ensure follow-up of TPADs, rigorous evaluations of multifaceted interventions (e.g., improved discharge documentation of TPADs combined with email alerts when results become available) is needed. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11606-017-4290-9) contains supplementary material, which is available to authorized users.