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1.
Eur J Anaesthesiol ; 39(2): 97-99, 2022 02 01.
Article in English | MEDLINE | ID: covidwho-20239720

Subject(s)
Hospitals , Humans
2.
J Dermatolog Treat ; 33(2): 1104-1106, 2022 Mar.
Article in English | MEDLINE | ID: covidwho-20237534

ABSTRACT

The utility of hydroxychloroquine for the prophylaxis and treatment of alarmingly rising COVID-19 infection has been widely explored in several studies. However, its cutaneous adverse effects among health care workers and COVID patients taking prophylactic doses has not been reported. We report cases of palmoplantar among health care workers who were on prophylactic doses of hydroxychloroquine and their management with cetirizine and methylprednisolone.


Subject(s)
COVID-19 Drug Treatment , Hydroxychloroquine , Health Personnel , Hospitals , Humans , Hydroxychloroquine/adverse effects , Referral and Consultation , SARS-CoV-2
4.
AMIA Annu Symp Proc ; 2022: 120-129, 2022.
Article in English | MEDLINE | ID: covidwho-20232746

ABSTRACT

Incorporating repeated measurements of vitals and laboratory measurements can improve mortality risk-prediction and identify key risk factors in individualized treatment of COVID-19 hospitalized patients. In this observational study, demographic and laboratory data of all admitted patients to 5 hospitals of Mount Sinai Health System, New York, with COVID-19 positive tests between March 1st and June 8th, 2020, were extracted from electronic medical records and compared between survivors and non-survivors. Next day mortality risk of patients was assessed using a transformer-based model BEHRTDAY fitted to patient time series data of vital signs, blood and other laboratory measurements given the entire patients' hospital stay. The study population includes 3699 COVID-19 positive (57% male, median age: 67) patients. This model had a very high average precision score (0.96) and area under receiver operator curve (0.92) for next-day mortality prediction given entire patients' trajectories, and through masking, it learnt each variable's context.


Subject(s)
COVID-19 , Aged , Female , Hospital Mortality , Hospitalization , Hospitals , Humans , Male , Retrospective Studies , Risk Factors
6.
JAMA Netw Open ; 6(5): e2315829, 2023 05 01.
Article in English | MEDLINE | ID: covidwho-20238026
7.
Arq Bras Cardiol ; 120(5): e20220642, 2023.
Article in English, Portuguese | MEDLINE | ID: covidwho-20237570

ABSTRACT

BACKGROUND: Most of the evidence about the impact of the post-acute COVID-19 Syndrome (PACS) reports individual symptoms without correlations with related imaging. OBJECTIVES: To evaluate cardiopulmonary symptoms, their predictors and related images in COVID-19 patients discharged from hospital. METHODS: Consecutive patients who survived COVID-19 were contacted 90 days after discharge. The Clinic Outcome Team structured a questionnaire evaluating symptoms and clinical status (blinded for hospitalization data). A multivariate analysis was performed to address the course of COVID-19, comorbidities, anxiety, depression, and post-traumatic stress during hospitalization, and cardiac rehabilitation after discharge. The significance level was set at 5%. RESULTS: A total of 480 discharged patients with COVID-19 (age: 59±14 years, 67.5% males) were included; 22.3% required mechanical ventilation. The prevalence of patients with PACS-related cardiopulmonary symptoms (dyspnea, tiredness/fatigue, cough, and chest discomfort) was 16.3%. Several parameters of chest computed tomography and echocardiogram were similar in patients with and without cardiopulmonary symptoms. The multivariate analysis showed that PACS-related cardiopulmonary-symptoms were independently related to female sex (OR 3.023; 95% CI 1.319-6.929), in-hospital deep venous thrombosis (OR 13.689; 95% CI 1.069-175.304), elevated troponin I (OR 1.355; 95% CI 1.048-1.751) and C-reactive protein during hospitalization (OR 1.060; 95% CI 1.023-1.097) and depression (OR 6.110; 95% CI 2.254-16.558). CONCLUSION: PACS-related cardiopulmonary symptoms 90 days post-discharge are common and multifactorial. Beyond thrombotic and markers of inflammation/myocardial injury during hospitalization, female sex and depression were independently associated with cardiopulmonary-related PACS. These results highlighted the need for a multifaceted approach targeting susceptible patients.


FUNDAMENTO: A maioria da evidência sobre o impacto da síndrome COVID pós-aguda (PACS, do inglês, post-acute COVID-19 syndrome) descreve sintomas individuais sem correlacioná-los com exames de imagens. OBJETIVOS: Avaliar sintomas cardiopulmonares, seus preditores e imagens relacionadas em pacientes com COVID-19 após alta hospitalar. MÉTODOS: Pacientes consecutivos, que sobreviveram à COVID-19, foram contatados 90 dias após a alta hospitalar. A equipe de desfechos clínicos (cega quanto aos dados durante a internação) elaborou um questionário estruturado avaliando sintomas e estado clínico. Uma análise multivariada foi realizada abordando a evolução da COVID-19, comorbidades, ansiedade, depressão, e estresse pós-traumático durante a internação, e reabilitação cardíaca após a alta. O nível de significância usado nas análises foi de 5%. RESULTADOS: Foram incluídos 480 pacientes (idade 59±14 anos, 67,5% do sexo masculino) que receberam alta hospitalar por COVID-19; 22,3% necessitaram de ventilação mecânica. A prevalência de pacientes com sintomas cardiopulmonares relacionados à PACS (dispneia, cansaço/fadiga, tosse e desconforto no peito) foi de 16,3%. Vários parâmetros de tomografia computadorizada do tórax e de ecocardiograma foram similares entre os pacientes com e sem sintomas cardiopulmonares. A análise multivariada mostrou que sintomas cardiopulmonares foram relacionados de maneira independente com sexo feminino (OR 3,023; IC95% 1,319-6,929), trombose venosa profunda durante a internação (OR 13,689; IC95% 1,069-175,304), nível elevado de troponina (OR 1,355; IC95% 1,048-1,751) e de proteína C reativa durante a internação (OR 1,060; IC95% 1,023-1,097) e depressão (OR 6,110; IC95% 2,254-16,558). CONCLUSÃO: Os sintomas cardiopulmonares relacionados à PACS 90 dias após a alta hospitalar são comuns e multifatoriais. Além dos marcadores trombóticos, inflamatórios e de lesão miocárdica durante a internação, sexo feminino e depressão foram associados independentemente com sintomas cardiopulmonares relacionados à PACS. Esses resultados destacaram a necessidade de uma abordagem multifacetada direcionada a pacientes susceptíveis.


Subject(s)
COVID-19 , Male , Humans , Female , Middle Aged , Aged , COVID-19/complications , Patient Discharge , SARS-CoV-2 , Aftercare , Hospitalization , Hospitals
8.
BMC Health Serv Res ; 23(1): 616, 2023 Jun 12.
Article in English | MEDLINE | ID: covidwho-20237391

ABSTRACT

BACKGROUND: High-frequency hospital users often present with chronic and complex health conditions and are at increased risk of serious morbidity and mortality if they contract COVID-19. Understanding where high-frequency hospital users are sourcing their information, whether they understand what they find, and how they apply the information to prevent the spread of COVID-19 is essential for health authorities to be able to target communication approaches. METHODS: Cross-sectional survey of 200 frequent hospital users (115 with limited English proficiency) informed by the WHO's "Rapid, simple, flexible behavioral insights on COVID-19". Outcome measures were source of, and trust in information, and knowledge of symptoms, preventive strategies, restrictions, and identification of misinformation. RESULTS: The most frequently cited source of information was television (n = 144, 72%) followed by the internet (n = 84, 42%). One in four television users sought their information from overseas news outlets from their country of origin, while for those using the internet, 56% relied on Facebook and other forms of social media including YouTube and WeChat. Overall, 41.2% of those surveyed had inadequate knowledge about symptoms, 35.8% had inadequate knowledge about preventative strategies, 30.2% had inadequate knowledge about government-imposed restrictions, and 69% believed in misinformation. Half of the respondents (50%) trusted all information, and only one in five (20%) were uncertain or untrusting. English-speaking participants were almost three times more likely to have adequate knowledge about symptoms (OR 2.69, 95%CI 1.47;4.91) and imposed restrictions (OR 2.10 95%CI 1.06; 4.19), and 11 times more likely to recognize misinformation (OR 11.52 95%CI 5.39; 24.60) than those with limited English. CONCLUSION: Within this population of high-frequency hospital users with complex and chronic conditions, many were sourcing their information from less trustworthy or locally relevant sources, including social media and overseas news outlets. Despite this, at least half were trusting all the information that they found. Speaking a language other than English was a much greater risk factor for having inadequate knowledge about COVID-19 and believing in misinformation. Health authorities must look for methods to engage diverse communities, and tailor health messaging and education in order to reduce disparities in health outcomes.


Subject(s)
COVID-19 , Humans , Cross-Sectional Studies , Communication , Language , Hospitals
9.
J Pediatric Infect Dis Soc ; 12(6): 322-331, 2023 Jun 30.
Article in English | MEDLINE | ID: covidwho-20237253

ABSTRACT

BACKGROUND: To identify a diagnostic blood transcriptomic signature that distinguishes multisystem inflammatory syndrome in children (MIS-C) from Kawasaki disease (KD), bacterial infections, and viral infections. METHODS: Children presenting with MIS-C to participating hospitals in the United Kingdom and the European Union between April 2020 and April 2021 were prospectively recruited. Whole-blood RNA Sequencing was performed, contrasting the transcriptomes of children with MIS-C (n = 38) to those from children with KD (n = 136), definite bacterial (DB; n = 188) and viral infections (DV; n = 138). Genes significantly differentially expressed (SDE) between MIS-C and comparator groups were identified. Feature selection was used to identify genes that optimally distinguish MIS-C from other diseases, which were subsequently translated into RT-qPCR assays and evaluated in an independent validation set comprising MIS-C (n = 37), KD (n = 19), DB (n = 56), DV (n = 43), and COVID-19 (n = 39). RESULTS: In the discovery set, 5696 genes were SDE between MIS-C and combined comparator disease groups. Five genes were identified as potential MIS-C diagnostic biomarkers (HSPBAP1, VPS37C, TGFB1, MX2, and TRBV11-2), achieving an AUC of 96.8% (95% CI: 94.6%-98.9%) in the discovery set, and were translated into RT-qPCR assays. The RT-qPCR 5-gene signature achieved an AUC of 93.2% (95% CI: 88.3%-97.7%) in the independent validation set when distinguishing MIS-C from KD, DB, and DV. CONCLUSIONS: MIS-C can be distinguished from KD, DB, and DV groups using a 5-gene blood RNA expression signature. The small number of genes in the signature and good performance in both discovery and validation sets should enable the development of a diagnostic test for MIS-C.


Subject(s)
COVID-19 , Mucocutaneous Lymph Node Syndrome , Child , Humans , COVID-19/diagnosis , COVID-19/genetics , Systemic Inflammatory Response Syndrome/diagnosis , Systemic Inflammatory Response Syndrome/genetics , Hospitals , Mucocutaneous Lymph Node Syndrome/diagnosis , Mucocutaneous Lymph Node Syndrome/genetics , COVID-19 Testing
10.
Asian Nurs Res (Korean Soc Nurs Sci) ; 17(2): 110-117, 2023 May.
Article in English | MEDLINE | ID: covidwho-20237067

ABSTRACT

PURPOSE: This study aims to examine the performance of early warning scoring systems regarding adverse events of unanticipated clinical deterioration in complementary and alternative medicine hospitals. METHODS: A medical record review of 500 patients from 5-year patient data in two traditional Korean medicine hospitals was conducted. Unanticipated clinical deterioration events included unexpected in-hospital mortality, cardiac arrest, and unplanned transfers to acute-care conventional medicine hospitals. Scores of the Modified Early Warning Score (MEWS), National Early Warning Score (NEWS), and National Early Warning Score 2 (NEWS2) were calculated. Their performance was evaluated by calculating areas under the receiver-operating characteristic curve for the event occurrence. Multiple logistic regression analyses were performed to determine the factors associated with event occurrence. RESULTS: The incidence of unanticipated clinical deterioration events was 1.1% (225/21101). The area under the curve of MEWS, NEWS, and NEWS2 was .68, .72, and .72 at 24 hours before the events, respectively. NEWS and NEWS2, with almost the same performance, were superior to MEWS (p = .009). After adjusting for other variables, patients at low-medium risk (OR = 3.28; 95% CI = 1.02-10.55) and those at medium and high risk (OR = 25.03; 95% CI = 2.78-225.46) on NEWS2 scores were more likely to experience unanticipated clinical deterioration than those at low risk. Other factors associated with the event occurrence included frailty risk scores, clinical worry scores, primary medical diagnosis, prescribed medicine administration, acupuncture treatment, and clinical department. CONCLUSIONS: The three early warning scores demonstrated moderate-to-fair performance for clinical deterioration events. NEWS2 can be used for early identification of patients at high risk of deterioration in complementary and alternative medicine hospitals. Additionally, patient, care, and system factors need to be considered to improve patient safety.


Subject(s)
Clinical Deterioration , Complementary Therapies , Humans , Retrospective Studies , ROC Curve , Hospitals , Complementary Therapies/adverse effects
11.
PLoS Pathog ; 19(6): e1011432, 2023 06.
Article in English | MEDLINE | ID: covidwho-20236020

ABSTRACT

BACKGROUND: SARS-CoV-2 emerged as a new coronavirus causing COVID-19, and it has been responsible for more than 760 million cases and 6.8 million deaths worldwide until March 2023. Although infected individuals could be asymptomatic, other patients presented heterogeneity and a wide range of symptoms. Therefore, identifying those infected individuals and being able to classify them according to their expected severity could help target health efforts more effectively. METHODOLOGY/PRINCIPAL FINDINGS: Therefore, we wanted to develop a machine learning model to predict those who will develop severe disease at the moment of hospital admission. We recruited 75 individuals and analysed innate and adaptive immune system subsets by flow cytometry. Also, we collected clinical and biochemical information. The objective of the study was to leverage machine learning techniques to identify clinical features associated with disease severity progression. Additionally, the study sought to elucidate the specific cellular subsets involved in the disease following the onset of symptoms. Among the several machine learning models tested, we found that the Elastic Net model was the better to predict the severity score according to a modified WHO classification. This model was able to predict the severity score of 72 out of 75 individuals. Besides, all the machine learning models revealed that CD38+ Treg and CD16+ CD56neg HLA-DR+ NK cells were highly correlated with the severity. CONCLUSIONS/SIGNIFICANCE: The Elastic Net model could stratify the uninfected individuals and the COVID-19 patients from asymptomatic to severe COVID-19 patients. On the other hand, these cellular subsets presented here could help to understand better the induction and progression of the symptoms in COVID-19 individuals.


Subject(s)
COVID-19 , Humans , SARS-CoV-2 , Hospitalization , Flow Cytometry , Hospitals
12.
Sci Rep ; 13(1): 8544, 2023 05 26.
Article in English | MEDLINE | ID: covidwho-20235903

ABSTRACT

Hospital admissions due to acute cardiovascular events dropped during the COVID-19 pandemic in the general population; however, evidence for residents of long-term care facilities (LTCF) is sparse. We investigated rates of hospital admissions and deaths due to myocardial infarction (MI) and stroke in LTCF residents during the pandemic. Our nationwide cohort study used claims data. The sample comprised 1,140,139 AOK-ensured LTCF residents over 60 years of age (68.6% women; age 85.3 ± 8.5 years) from the largest statutory health insurance in Germany (AOK), which is not representative for all LTCF residents. We included MI and stroke admission and compared numbers of in-hospital deaths from January 2020 to end of April 2021 (i.e., during the first three waves of the pandemic) with the number of incidences in 2015-2019. To estimate incidence risk ratios (IRR), adjusted Poisson regression analyses were applied. During the observation period (2015-2021), there were 19,196 MI and 73,953 stroke admissions. MI admissions declined in the pandemic phase by 22.5% (IRR = 0.68 [CI 0.65-0.72]) compared to previous years. This decline was slightly more pronounced for NSTEMI than for STEMI. MI fatality risks remained comparable across years (IRR = 0.97 [CI95% 0.92-1.02]). Stroke admissions dropped by 15.1% (IRR = 0.75 [CI95% 0.72-0.78]) in the pandemic. There was an elevated case fatality risk for haemorrhagic stroke (IRR = 1.09 [CI95% 1.03-1.15]) but not for other stroke subtypes compared to previous years. This study provides first evidence of declines in MI and stroke admissions and in-hospital deaths among LTCF residents during the pandemic. The figures are alarming given the acute nature of the conditions and the vulnerability of the residents.


Subject(s)
COVID-19 , Myocardial Infarction , Stroke , Humans , Female , Middle Aged , Aged , Aged, 80 and over , Male , COVID-19/epidemiology , Pandemics , Cohort Studies , Long-Term Care , Hospitalization , Myocardial Infarction/epidemiology , Stroke/epidemiology , Hospitals
13.
Health Syst Reform ; 9(2): 2173551, 2023 06 15.
Article in English | MEDLINE | ID: covidwho-20235871

ABSTRACT

In response to the disruptions caused by COVID-19, hospitals around the world proactively or reactively developed and/or re-organized their governance structures to manage the COVID-19 response. Hospitals' governance played a crucial role in their ability to reorganize and respond to the pressing needs of their staff. We discuss and compare six hospital cases from four countries on different continents: Brazil, Canada, France, and Japan. Our study examined how governance strategies (e.g., special task forces, communications management tools, etc.) were perceived by hospital staff. Key findings from a total of 177 qualitative interviews with diverse hospital stakeholders were analyzed using three categories drawn from the European Observatory on Health Systems and Policies framework on health systems resilience during the COVID-19 pandemic: 1) delivering a clear and timely COVID-19 response strategy; 2) coordinating effectively within (horizontally) and across (vertically) levels of decision-making; and 3) communicating clearly and transparently with the hospital's diverse stakeholders. Our study gleaned rich accounts for these three categories, highlighting significant variations across settings. These variations were primarily determined by the hospitals' environment prior to the COVID-19 crisis, namely whether there already existed a culture of managerial openness (including spaces for social interactions among hospital staff) and whether preparedness planning and training had been routinely integrated into their activities.


Subject(s)
COVID-19 , Humans , Pandemics , Hospitals , Japan
14.
J Med Virol ; 95(6): e28819, 2023 06.
Article in English | MEDLINE | ID: covidwho-20235863

ABSTRACT

An understanding of the midterm sequelae in COVID-19 and their association with corticosteroids use are needed. Between March and July 2020, we evaluated 1227 survivors of COVID-19, 3 months posthospitalization, of whom 213 had received corticosteroids within 7 days of admission. Main outcome was any midterm sequelae (oxygen therapy, shortness of breath, one major clinical sign, two minor clinical signs or three minor symptoms). Association between corticosteroids use and midterm sequelae was assessed using inverse propensity-score weighting models. Our sample included 753 (61%) male patients, and 512 (42%) were older than 65 years. We found a higher rate of sequelae among users than nonusers of corticosteroids (42% vs. 35%, odds ratio [OR] 1.40 [1.16-1.69]). Midterm sequelae were more frequent in users of low-dose corticosteroids than nonusers (64% vs. 51%, OR 1.60 [1.10-2.32]), whereas no association between higher doses (≥20 mg/day equivalent of dexamethasone) and sequelae was evidenced (OR 0.95 [0.56-1.61]). Higher risk of sequelae with corticosteroids use was observed among subjects with propensity score below the 90th percentile. Our study suggest that corticosteroids use during hospitalization for COVID-19 is associated with higher risk of midterm sequelae.


Subject(s)
COVID-19 , Humans , Male , Female , SARS-CoV-2 , Prospective Studies , Adrenal Cortex Hormones/adverse effects , Hospitalization , Hospitals , Disease Progression , Survivors
15.
Radiat Prot Dosimetry ; 199(11): 1195-1201, 2023 Jul 05.
Article in English | MEDLINE | ID: covidwho-20235616

ABSTRACT

COVID-2019 has resulted in an emerging respiratory infection that has spread as a pandemic since January 2020. Nuclear Medicine Services and its workers experienced a dramatic change in their clinical routine. They were required to adjust protocols for this new health condition. Regarding radioiodine therapy (RIT), initial orientations were to postpone treatments. In Brazil, National Nuclear Energy Commission prepared guidelines. It authorized RIT to employ activities over 1850 MBq in an outpatient setting on an exceptional basis. This study reports the RIT experience of a Brazilian hospital during the COVID-19 pandemic, intending to evaluate the applicability of outpatient treatment employing over 1850 MBq of I-131 on a large scale. During referred period, 106 patients at our service had an indication for RIT, of which 58 agreed to participate in the research and provided informed consent. Majority of patients did not meet the minimum requirements for outpatient treatment using doses > 1850 MBq.


Subject(s)
COVID-19 , Humans , COVID-19/radiotherapy , Iodine Radioisotopes/therapeutic use , Brazil/epidemiology , Pandemics , Hospitals
16.
J Med Internet Res ; 25: e44188, 2023 07 10.
Article in English | MEDLINE | ID: covidwho-20234490

ABSTRACT

BACKGROUND: The COVID-19 pandemic accelerated the digital transition in health care, which required a rapid adaptation for stakeholders. Telemedicine has emerged as an ideal tool to ensure continuity of care by allowing remote access to specialized medical services. However, its rapid implementation has exacerbated disparities in health care access, especially for the most susceptible populations. OBJECTIVE: We aimed to characterize the determinant factors (facilitators and barriers) of access to hospital medical specialty telemedicine consultations during the COVID-19 pandemic and to identify the main opportunities and challenges (technological, ethical, legal, and social) generated by the use of telemedicine in the context of the COVID-19 pandemic. METHODS: We conducted a systematic review according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. A total of 4 databases (Scopus, Web of Science, PubMed, and Cochrane COVID-19 Study Register) were searched for empirical studies published between January 3, 2020, and December 31, 2021, using established criteria. The protocol of this review was registered and published in PROSPERO (CRD42022302825). A methodological quality assessment was performed, and the results were integrated into a thematic synthesis. The identification of the main opportunities and challenges was done by interpreting and aggregating the thematic synthesis results. RESULTS: Of the 106 studies identified, 9 met the inclusion criteria and the intended quality characteristics. All studies were originally from the United States. The following facilitating factors of telemedicine use were identified: health insurance coverage; prevention of SARS-CoV-2 infection; access to internet services; access to technological devices; better management of work-life balance; and savings in travel costs. We identified the following barriers to telemedicine use: lack of access to internet services; lack of access to technological devices; racial and ethnic disparities; low digital literacy; low income; age; language barriers; health insurance coverage; concerns about data privacy and confidentiality; geographic disparities; and the need for complementary diagnostic tests or the delivery of test results. CONCLUSIONS: The facilitating factors and barriers identified in this systematic review present different opportunities and challenges, including those of a technological nature (access to technological devices and internet services and level of digital literacy), a sociocultural and demographic nature (ethnic and racial disparities, geographic disparities, language barriers, and age), a socioeconomic nature (income level and health insurance coverage), and an ethical and legal nature (data privacy and confidentiality). To expand telemedicine access to hospital-based specialty medical consultations and provide high-quality care to all, including the most susceptible communities, the challenges identified must be thoroughly researched and addressed with informed and dedicated responses.


Subject(s)
COVID-19 , Telemedicine , Transition to Adult Care , Humans , COVID-19/epidemiology , Pandemics , SARS-CoV-2 , Telemedicine/methods , Health Services Accessibility , Referral and Consultation , Hospitals
17.
BMJ Open Qual ; 12(2)2023 05.
Article in English | MEDLINE | ID: covidwho-20234484

ABSTRACT

Mortality reviews are intended to produce transparent, non-punitive personal and organisational learning that leads to systematic improvement in care. Mayo Clinic has a well-established care review process that has accomplished that objective within our system. The establishment of a new hospital, a joint venture between Mayo Clinic and Sheikh Shakhbout Medical City (SSMC) in Abu Dhabi, provided a unique opportunity to share this care review process internationally.During a baseline measurement period, only 78.3% of mortality reviews at SSMC were completed within 45 days, 16.7 percentage points below the target of 95%. A collaboration between SSMC and Mayo Clinic aimed to accelerate the design and implementation of a care review process system. Collaboration was constrained by travel restrictions imposed by COVID-19, language barriers, legal privacy concerns, and differing electronic health records.Mayo Clinic facilitated a 12-week virtual engagement with SSMC using weekly video meetings, education and training regarding Mayo Clinic's care review process.The engagement led to implementation of weekly mortality review huddles, restructuring of the mortality review committee to be multidisciplinary, use of a standardised taxonomy to characterise opportunities to improve care and creation of an education/communication plan regarding identified improvement opportunities using change management strategies.After the care review process for mortality reviews was instituted, SSMC achieved and sustained a target of 100% of mortality reviews completed within 45 days. The new process resulted in improved mortality review indicators and provided quality feedback to staff with engagement in performance improvement efforts.A virtual collaboration led to successful implementation of a care review process and substantial gains in the effectiveness of the quality programme at SSMC. This could serve as a model to assist other organisations, even if in-person engagement is hindered.


Subject(s)
COVID-19 , Humans , Communication , Learning , Hospitals , United Arab Emirates
19.
Aust Health Rev ; 47(3): 354-361, 2023 Jun.
Article in English | MEDLINE | ID: covidwho-20234351

ABSTRACT

Objective We aim to examine the activities undertaken by medical and surgical ward nurses at a major health service in Victoria, Australia, to inform nursing and midwifery strategic workforce planning. Methods This descriptive, exploratory study was conducted on 17 wards from three acute care hospitals in one of Victoria's largest health services. The Work Observation Method by Activity Timing tool was used to enable participants to document the time spent in each of 10 nursing activity domains. Results Data from 70 respondents across all shifts showed nurses spent one-third of their time in direct care. Registered nurses spent a lower proportion of time than enrolled nurses in direct care and medications overall. Compared with enrolled nurses, registered nurses spent less time in direct care on morning shifts and documentation on afternoon shifts, and more time on ward-related activities on afternoon shifts. Conclusions Medical and surgical enrolled nurses and registered nurses spent comparable proportions of time engaged in specific activities. Further research is required to understand the influences on the time devoted to direct care and how time spent in direct care intersects with other activities, and the relationship with patient outcomes and quality of care indicators.


Subject(s)
Nursing Staff, Hospital , Perioperative Nursing , Humans , Hospitals , Victoria
20.
Nurs Adm Q ; 47(3): 239-248, 2023.
Article in English | MEDLINE | ID: covidwho-20233842

ABSTRACT

The ongoing nursing shortage and the ravages of the COVID-19 pandemic have further challenged nursing staff with devastating shortages. This article describes the Faculty Nurse Attending Model, an innovative approach incorporating nursing faculty into staffing and the ongoing interdisciplinary rounds at the Mount Sinai Hospital in New York City. The Mount Sinai Phillips School of Nursing faculty actively participates in the pilot unit to support nursing practice and ensure that the curricula address contemporary practice.


Subject(s)
COVID-19 , Pandemics , Humans , COVID-19/epidemiology , Hospitals , New York City , Faculty, Nursing
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