Teses / dissertações sobre o tema "Acute medical admissions"
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Falk-Whynes, Jane. "Avoidable acute medical admissions : an evaluation of two interventions". Thesis, Nottingham Trent University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364414.
Texto completo da fonteGriffiths, Pauline. "Nursing patients in transition : an ethnography of the role of the nurse on an Acute Medical Admissions Unit". Thesis, Swansea University, 2007. https://cronfa.swan.ac.uk/Record/cronfa42820.
Texto completo da fonteHopes, Scott L. "Healthcare IT in Skilled Nursing and Post-Acute Care Facilities: Reducing Hospital Admissions and Re-Admissions, Improving Reimbursement and Improving Clinical Operations". Scholar Commons, 2017. https://scholarcommons.usf.edu/etd/7409.
Texto completo da fonteHoare, Sarah. "Understanding end-of-life admissions : an interview study of patients admitted to a large English hospital shortly before death". Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/275055.
Texto completo da fonteGazzana, Marcelo Basso. "Mortalidade intra-hospitalar no tromboembolismo pulmonar agudo : comparação entre pacientes com diagnóstico objetivo e com suspeita não confirmada". reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2006. http://hdl.handle.net/10183/119419.
Texto completo da fonteBackground: Pulmonary thromboembolism (PE) is frequent in hospital setting and has significant mortality. Diagnostic approach of PE has many steps and follow-up of patients with non-confirmed PE is unknown. Purpose: To compare the inhospital mortality in cases with suspected acute PE among those with confirmed diagnosis, excluding diagnosis and inconclusive diagnostic workup. Methods: Historical cohort including adult patients ( 18 years) with clinically suspected PE that performed perfusion lung scan, CT-angiography, pulmonary arteriography or had PE ICD-9 413/ICD-10 I26 at admission or in discharge charts, from 1996 to 2000. We excluded patients with incomplete or lost medical records. Medical records were reviewed using a standardized form. Statistical analysis was done by chi-square-test, Student’s t test and logistic regression, with statistical significance of 5% (bilateral). Results: Of 741 patients, 687 were included (54 were excluded). Mean age was 61.53 ± 16.75 years, 292 patients were men (42.5%). Primary PE was identified in 330 cases (48%) and secondary PE in 357 (52%). In 120 patients (17.5%), PE was objectively confirmed, in 193 (28.1%) was objectively excluded, and in 374 cases (54.4%) the diagnostic approach was non-conclusive. In-hospital mortality was 19.1% (n=134). In univariate analysis, male gender, hypotension, secondary PE, cancer, non-conclusive approach, untreated PE, inclusion in 1996- 1997 were associated to the highest mortality. In multivariate analysis, hypotension (beta 2.49, 95% confidence interval [CI] 1.35-4.63), PE objectively confirmed (beta 2.199, 95%CI 1.15-4.21), non-conclusive approach (beta 1.70, 95%CI 1.00-2.87), cancer (beta 2.87, 95%CI 1.80-4.45), secondary PE (beta 1.57, 95%CI 1.02-2.41), inclusion in 1996-1997 (beta 1.71, 95%CI 1.15-2.67) and thoracic or abdominal infection (beta 1.71, 95%CI 1.08-2.71) were associated with the highest in-hospital mortality (p<0.05). Conclusions: Patients with acute PE objectively confirmed had significantly higher in-hospital mortality than patients in whom PE was excluded. Non-conclusive approach of PE was an independent factor for in-hospital mortality in patients with suspected disease.
Henriksson, Catrin. "Coronary Heart Disease and Early Decision Making, from Symptoms to Seeking Care : Studies with Focus on Pre-hospital Delay in Acute Myocardial Infarction Patients". Doctoral thesis, Uppsala universitet, Institutionen för medicinska vetenskaper, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-156636.
Texto completo da fonteBenipal, Jagpal Singh. "Analysis of trends and reasons for rising acute medical admissions in Auckland's public hospitals". 2008. http://hdl.handle.net/2292/2419.
Texto completo da fonteKhan, Uzma Nasir. "Pattern and outcomes of admissions to the Medical Acute Care Unit of a tertiary teaching hospital in South Africa". Thesis, 2018. https://hdl.handle.net/10539/25451.
Texto completo da fonteBackground A Medical Acute Care Unit (MACU) was established at Chris Hani Baragwanath Academic Hospital (CHBAH) to provide comprehensive medical specialist care to the patients presenting with acute medical emergencies. Improved standards of health care delivery systems at the MACU may result in shorter hospital stay, better outcomes and less mortality. Objectives The objective of the study was to describe the demographics, diagnoses, pattern of diseases and the outcomes, including mortality of patients admitted to the MACU at the Chris Hani Baragwanath Academic Hospital (CHBAH). Methods A record review of 200 patients admitted to the MACU at CHBAH was performed from March 2015 to August 2015. The records were analysed for patient demographics, diagnosis at admission and duration of stay in MACU. The outcome was defined as transfer to the medical ward, Intensive Care Unit (ICU) or discharged home. The main causes of mortality were also recorded. Results Of the 200 patients, 59% were females. The mean age of the patients was 46 ± 17.2 years and the mean duration of stay at the MACU was 1.45 ± 1.25 days. Noncommunicable diseases accounted for 76% of admissions. The most frequently diagnosed conditions included: diabetic ketoacidosis acidosis (DKA) and hyperosmolar non-ketotic (HONK) (17.5%), non-accidental self-poisoning (16%), hypertensive emergencies (9.5%), decompensated cardiac failure (8%) and ischemic v heart disease (7%). Infectious diseases comprised 14% of the diagnoses of which pneumonias were the most common (5%). Most patients (77.5%) were transferred to medical wards, 12% to ICU, while 10% demised at the MACU. The main causes of death included sepsis (25%), DKA/HONK (20%), non-accidental self-poisoning (10%) and cardiac failure (10%). Conclusion Non-communicable diseases particularly diabetic emergencies were the main causes of admission to the MACU at CHBAH. During the study period, high rates of case improvement, patient discharge, shorter hospital stay, and less mortality were observed. The main cause of mortality was sepsis related.
LG2018
Lima, Marta Joana Achada. "Hospital Emergency Admissions for Acute Cerebrovascular Disease During COVID-19 Pandemic: the impact on a central hospital". Dissertação, 2021. https://hdl.handle.net/10216/134647.
Texto completo da fonteLima, Marta Joana Achada. "Hospital Emergency Admissions for Acute Cerebrovascular Disease During COVID-19 Pandemic: the impact on a central hospital". Master's thesis, 2021. https://hdl.handle.net/10216/134647.
Texto completo da fonteFaisal, Muhammad, Andy J. Scally, M. A. Elgaali, D. Richardson, K. Beatson e Mohammed A. Mohammed. "The National Early Warning Score and its subcomponents recorded within ±24 hours of emergency medical admission are poor predictors of hospital-acquired acute kidney injury". 2017. http://hdl.handle.net/10454/14183.
Texto completo da fonteBackground: Hospital-acquired Acute Kidney Injury (H-AKI) is a common cause of avoidable morbidity and mortality. Aim: To determine if the patients’ vital signs data as defined by a National Early Warning Score (NEWS), can predict H-AKI following emergency admission to hospital. Methods: Analyses of emergency admissions to York hospital over 24-months with NEWS data. We report the area under the curve (AUC) for logistic regression models that used the index NEWS (model A0), plus age and sex (A1), plus subcomponents of NEWS (A2) and two-way interactions (A3). Likewise for maximum NEWS (models B0,B1,B2,B3). Results: 4.05% (1361/33608) of emergency admissions had H-AKI. Models using the index NEWS had the lower AUCs (0.59 to 0.68) than models using the maximum NEWS AUCs (0.75 to 0.77). The maximum NEWS model (B3) was more sensitivity than the index NEWS model (A0) (67.60% vs 19.84%) but identified twice as many cases as being at risk of H-AKI (9581 vs 4099) at a NEWS of 5. Conclusions: The index NEWS is a poor predictor of H-AKI. The maximum NEWS is a better predictor but seems unfeasible because it is only knowable in retrospect and is associated with a substantial increase in workload albeit with improved sensitivity.
The Health Foundation
Faisal, Muhammad, Andy J. Scally, N. Jackson, D. Richardson, K. Beatson, R. Howes, K. Speed et al. "Development and validation of a novel computer-aided score to predict the risk of in-hospital mortality for acutely ill medical admissions in two acute hospitals using their first electronically recorded blood test results and vital signs: a cross-sectional study". 2018. http://hdl.handle.net/10454/17031.
Texto completo da fonteObjectives There are no established mortality risk equations specifically for emergency medical patients who are admitted to a general hospital ward. Such risk equations may be useful in supporting the clinical decision-making process. We aim to develop and externally validate a computer-aided risk of mortality (CARM) score by combining the first electronically recorded vital signs and blood test results for emergency medical admissions. Design Logistic regression model development and external validation study. Setting Two acute hospitals (Northern Lincolnshire and Goole NHS Foundation Trust Hospital (NH)—model development data; York Hospital (YH)—external validation data). Participants Adult (aged ≥16 years) medical admissions discharged over a 24-month period with electronic National Early Warning Score(s) and blood test results recorded on admission. Results The risk of in-hospital mortality following emergency medical admission was 5.7% (NH: 1766/30 996) and 6.5% (YH: 1703/26 247). The C-statistic for the CARM score in NH was 0.87 (95% CI 0.86 to 0.88) and was similar in an external hospital setting YH (0.86, 95% CI 0.85 to 0.87) and the calibration slope included 1 (0.97, 95% CI 0.94 to 1.00). Conclusions We have developed a novel, externally validated CARM score with good performance characteristics for estimating the risk of in-hospital mortality following an emergency medical admission using the patient’s first, electronically recorded, vital signs and blood test results. Since the CARM score places no additional data collection burden on clinicians and is readily automated, it may now be carefully introduced and evaluated in hospitals with sufficient informatics infrastructure.
The Health Foundation, National Institute for Health Research (NIHR) Yorkshire and Humberside Patient Safety Translational Research Centre
Lagarteira, Maria Beatriz Rodrigues. "Stroke Laterality: impact on the time to admission and acute treatment". Dissertação, 2021. https://hdl.handle.net/10216/134671.
Texto completo da fonteLagarteira, Maria Beatriz Rodrigues. "Stroke Laterality: impact on the time to admission and acute treatment". Master's thesis, 2021. https://hdl.handle.net/10216/134671.
Texto completo da fonteHickman, Louise D., University of Western Sydney, College of Health and Science e School of Nursing. "Patients, carers and nurses : collaborators in development of a new model of nursing care for older persons in the acute care setting". 2007. http://handle.uws.edu.au:8081/1959.7/37238.
Texto completo da fonteDoctor of Philosophy (PhD)