920 resultados para hospital admission


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Affiliation: Dany Gagnon & Sylvie Nadeau: École de réadaptation, Faculté de médecine, Université de Montréal & Centre de recherche interdisciplinaire en réadaptation, Institut de réadaptation de Montréal

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Objetivó: Caracterizar los pacientes con heridas cardiacas penetrantes grado II a VI, describir las características del trauma, tratamiento quirúrgico, evolución clínica e identificar los factores asociados a un desenlace. Metodología: Se diseñó un estudio de asociación en 308 pacientes que ingresaron a cirugía con diagnóstico de herida penetrante de corazón entre enero de 1999 y octubre de 2009. Se excluyeron 68 casos. La serie analizada incluyó 240 pacientes con heridas cardiacas. Se analizaron variables demográficas, clínicas, quirúrgicas y de evolución, tabulados en EXCEL® y analizados en SPSS 20®. Resultados: El promedio de edad fue 27.8 años, principalmente hombres (96%), lesiones por arma cortopunzante 93% y un 7% por proyectil arma de fuego. El estado hemodinámico al ingreso (según Ivatury) fue normal 44%; Shock profundo 34%; Agónicos 18% y 3% fatales. El 67% (n=161) presentaron taponamiento cardiaco. Los grados de lesión cardiaca según la clasificación OIS-AAST fueron: grado II 33%, grado III 13%, grado IV 29%, grado V 22% y grado VI 3%. La ventana pericárdica fue el método diagnóstico confirmatorio de lesión en 63% y las incisiones de abordaje quirúrgico fueron la esternotomía 63% y la toracotomía anterolateral 35%. La mortalidad fue 15% (n=36). Las diferencias en mortalidad entre el estado hemodinámico al inicio de cirugía, mecanismo de lesión y grado de herida, demostraron ser estadísticamente significativas (valor de p<0.001). Conclusiones: El estado hemodinámico y las heridas por arma de fuego son factores asociados a mortalidad. La ventana pericárdica subxifoidea favorece la preferencia y buenos resultados de la esternotomía como vía de abordaje quirúrgico.

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Antecedentes: El interés en las enfermedades autoinmunes (EA) y su desenlace en la unidad de cuidado intensivo (UCI) han incrementado debido al reto clínico que suponen para el diagnóstico y manejo, debido a que la mortalidad en UCI fluctúa entre el 17 – 55 %. El siguiente trabajo representa la experiencia de un año de nuestro grupo en un hospital de tercer nivel. Objetivo: Identificar factores asociados a mortalidad particulares de los pacientes con enfermedades autoinmunes que ingresan a una UCI, de un hospital de tercer nivel en Bogotá, Colombia. Métodos: El uso de análisis de componentes principales basado en el método descriptivo multivariado y análisis de múltiple correspondencia fue realizado para agrupar varias variables relacionadas con asociación significativa y contexto clínico común. Resultados: Cincuenta pacientes adultos con EA con una edad promedio de 46,7 ± 17,55 años fueron evaluados. Los dos diagnósticos más comunes fueron lupus eritematoso sistémico y esclerosis sistémica, con una frecuencia de 45% y 20% de los pacientes respectivamente. La principal causa de admisión en la UCI fue la infección seguido de actividad aguda de la EA, 36% y 24% respectivamente. La mortalidad durante la estancia en UCI fue del 24%. El tiempo de hospitalización antes de la admisión a la UCI, el choque, soporte vasopresor, ventilación mecánica, sepsis abdominal, Glasgow bajo y plasmaféresis fueron factores asociados con mortalidad. Dos fenotipos de variables fueron definidos relacionadas con tiempo en la UCI y medidas de soporte en UCI, las cuales fueron asociadas supervivencia y mortalidad. Conclusiones: La identificación de factores individuales y grupos de factores por medio del análisis de componentes principales permitirá la implementación de medidas terapéutica de manera temprana y agresiva en pacientes con EA en la UCI para evitar desenlaces fatales.

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Background: This study tested the homeostatic model of subjective quality of life in a group of 47 short stay patients as they progressed through the stages of hospitalization for surgery.
Method: Participants completed a questionnaire measuring subjective quality of life, positive and negative affect, self-esteem, optimism and cognitive flexibility, the day prior to admission (T1), two days post-operation (T2) and one week after discharge (T3). Neuroticism and Extroversion were measured at Time 1.
Results: All variables remained stable across the three times, apart from positive affect, which dropped significantly post-operation but returned to its previous level post discharge.
Conclusion: Although the homeostatic model of subjective quality of life was supported at Time 1, the analyses raise doubts about the stability of personality. This finding is consistent with recent discussions of personality.

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Alternative health care delivery models such as HITH facilitate the care of patients requiring acute treatments in their own homes. There are over 570 Diagnostic Related Groups managed in HITH programs and many of these are known to have associated physical pain. The impact of the home environment on patients’ experience of pain or how pain is managed is poorly understood. The purpose of this presentation is to
present the background and preliminary findings of a study that aims to increase our understanding of the issues related to providing optimal pain management for acute care patients who are transferred to Hospital in the Home. This knowledge will enable the development of effective practice guidelines to improve patient outcomes. More specifically, the aims are:
• To identify whether patients are transferred to HITH in pain or develop
   significant pain while in the program
• To identify the frequency and intensity of pain experienced by patients in 3      HITH programs.
• To describe patients’ experience of pain in the home environment.
• To investigate whether patients receive adequate pain relief once                      transferred to HITH.
• To explore the strategies patients use to manage pain at home.

The study will be carried out over 12 months in three HITH units in Victoria: Box Hill Hospital, Alfred Hospital and Epworth Hospital. The design is a descriptive survey of patients’ experience of pain and pain management using a modified version of The American Pain Society’s Patient Outcome Questionnaire. 360 consecutive surgical patients transferred to HITH care in the three participating programs will be interviewed by telephone between 48 and 72 hours of admission to the program.

The findings of this study will identify issues in providing optimum pain management for patients receiving acute care in non-traditional treatment environments.

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Learning Objective 1: describe the prevalence of incontinence within an Australian acute care hospital

Learning Objective 2: describe the current management practices for incontinence with regard to patients in an acute care hospital
Introduction: In 1998 the World Health Organisation recognised the international problem of incontinence. However, incontinence remains a major problem that affects more than 3.8 million Australians. Currently, there are no Australian guidelines governing the management of continence within the acute healthcare setting. Cabrini Health sought to identify the prevalence of incontinence in the acute inpatient setting and pilot a Continence Management Program to improve patient safety and patient outcomes.

Aim:
The aim of this study was to determine the prevalence of and current management practices for incontinence with regard to Cabrini Health inpatients.

Method: The sample comprised 392 inpatients across three campuses of Cabrini Health (mean age= 68.3 years). Continence prevalence was assessed using a validated Continence Point Prevalence Tool.

Results: Urinary incontinence prevalence was 14%. The resulting overall faecal incontinence prevalence was 7.4%. There were 113 (52.3%) patients who were not incontinent and were using a continence product/device. Fifteen (25.9%) patients were incontinent and were not using any form of continence product/device. There were 43 (74.1%) patients who were incontinent and were using a continence product/device. For the large majority of patients, the admission notes contained documentation of their bladder and bowel function. Specifically, 46 (11.8%) patients had no form of admission documentation relating to bowel function and 45 (11.5%) patients had no form of admission documentation regarding to bladder function.

Conclusions:
This study provided baseline continence prevalence for Cabrini Health. There is a need for evidence-based guidelines to support the management of incontinent patients. These interventions will assist staff to educate patients on appropriate choice of continence products and enable patients to maintain or regain continence. Thereby, leading to improved outcomes for patients and improved risk management.

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Objectives: The objective of the study was to examine patients’ experiences of pain in Hospital in the Home (HITH) programs and
identify the issues related to providing optimal pain management for acute care patients in the home environment.
Methods: A descriptive survey of patients’ experience of pain and pain management in 3 HITH programs in metropolitan Melbourne,
Australia (n=359). Data were collected by telephone interview using a modified version of The American Pain Society’s Patient Outcome Questionnaire. Patients were interviewed 48 to 72 hours after admission to the HITH program. Consecutive, adult, acute care patients were invited to participate in the study. Patients who had previously participated or had communication difficulties unable to be overcome with the assistance of an interpreter were excluded.
Results: Sixty-nine percent of patients interviewed experienced pain at home and 86% of these patients had experienced pain in the 24 hours before the interview. Over half (56%) of the patients had experienced moderate-to-severe worst pain in the previous 24 hours and 33% reported moderate-to-severe pain as their average pain experience. Two hundred thirty-two (93.2%) of the 250 patients who experienced pain had pain in hospital before being transferred to HITH. Of these patients, 52.2% (n=132) were prescribed analgesics to take home with them; the remaining 118 patients experiencing pain were not prescribed analgesics and either sourced analgesics once home (n=81, 68.1%) or did not take any analgesics (n=38, 31.9%).
Discussion: Treatment of pain at home was suboptimal with patients experiencing moderate-to-severe pain and discomfort during the treatment phase of their illness. Lack of appropriate discharge planning strategies meant that patients went home without adequate analgesia and use of non prescribed pain medication was common. The number of patients transferred home without analgesics indicates a worrying under recognition of the need for analgesia in this care context and poses a risk to patient safety that is no less significant because patients are at home.

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In recent years, influenced by the pervasive power of technology, standards and mandates, Australian hospitals have begun exploring digital forms of keeping this record. The main rationale is the ease of accessing different data sources at the same time by varied staff members. The initial step in this transition was implementation of scanned medical record systems, which converts the paper based records to digitised form, which required process flow redesign and changes to existing modes of work. For maximising the benefits of scanning implementation and to better prepare for the changes, Austin Hospital in the State of Victoria commissioned this research focused on elective admissions area. This structured case study redesigned existing processes that constituted the flow of external patient forms and recommended a set of best practices at the same time highlighting the significance of user participation in maximising the potential benefits anticipated. In the absence of published academic studies focused on Victorian hospitals, this study has become a conduit for other departments in the hospital as well as other hospitals in the incursion.

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Background:
In-hospital falls are common and pose significant economic burden on the healthcare system. To date, few studies have quantified the additional cost of hospitalisation associated with an in-hospital fall or fall-related injury. The aim of this study is to determine  the additional length of stay and hospitalisation costs associated with in-hospital falls and fall-related injuries, from the acute hospital perspective.

Methods and design
A multisite prospective study will be conducted as part of a larger falls-prevention clinical trial—the 6-PACK project. This study will involve 12 acute medical and surgical wards from six hospitals across Australia. Patient and admission characteristics, outcome and hospitalisation cost data will be prospectively collected on approximately 15 000 patients during the 15-month study period. A review of all inhospital fall events will be conducted using a multimodal method (medical record review and daily verbal report from the nurse unit manager, triangulated with falls recorded in the hospital incident reporting and administrative database), to ensure complete case ascertainment. Hospital clinical costing data will be used to calculate patient-level hospitalisation costs incurred by a patient during their inpatient stay. Additional hospital and hospital resource utilisation costs attributable to inhospital falls and fall-related injuries will be calculated using linear regression modelling, adjusting for a prioridefined potential confounding factors.

Discussion:
This protocol provides the detailed statement of the planned analysis. The results from this study will be used to support healthcare planning, policy making and allocation of funding relating to falls prevention within acute hospitals.

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Emergency department access block is an urgent problem faced by many public hospitals today. When access block occurs, patients in need of acute care cannot access inpatient wards within an optimal time frame. A widely held belief is that access block is the end product of a long causal chain, which involves poor discharge planning, insufficient bed capacity, and inadequate admission intensity to the wards. This paper studies the last link of the causal chain-the effect of admission intensity on access block, using data from a metropolitan hospital in Australia. We applied several modern statistical methods to analyze the data. First, we modeled the admission events as a nonhomogeneous Poisson process and estimated time-varying admission intensity with penalized regression splines. Next, we established a functional linear model to investigate the effect of the time-varying admission intensity on emergency department access block. Finally, we used functional principal component analysis to explore the variation in the daily time-varying admission intensities. The analyses suggest that improving admission practice during off-peak hours may have most impact on reducing the number of ED access blocks.

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Older adults with congestive heart failure [CHF] are likely to experience multiple readmissions to hospital. There have been several studies conducted on hospital readmissions; however, generalising the findings is problematic due to the use of variable definitions of what constitutes a readmission. This paper addresses the absence of Australian research comparing groups of older patients with CHF who are readmitted to hospital with those who are not readmitted. It also adopts one of the more frequently used definitions of readmission to aid in future comparability of research. Using a comparative cohort design, a multivariate logistic regression model was used to compare readmitted patients with non-readmitted patients and identify risk factors associated with readmission. Significant risk factors identified were male gender, numerous diagnoses, lengths of stay of 3 days or longer and admission from acute, subacute or aged care facilities. The increased likelihood of readmission among patients from acute, subacute and aged care services warrants further investigation.

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 Abstract
Objective Adverse drug events (ADEs) during hospital admissions are a widespread problem associated with adverse patient outcomes. The ‘external cause’ codes in the International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10) provide opportunities for identifying the incidence of ADEs acquired during hospital stays that may assist in targeting interventions to decrease their occurrence. The aim of the present study was to use routine administrative data to identify ADEs acquired during hospital admissions in a suburban healthcare network in Melbourne, Australia.

Methods Thirty-nine secondary diagnosis fields of hospital discharge data for a 1-year period were reviewed for ‘diagnoses not present on admission’ and assigned to the Classification of Hospital Acquired Diagnoses (CHADx) subclasses. Discharges with one or more ADE subclass were extracted for retrospective analysis.

Results From 57 205 hospital discharges, 7891 discharges (13.8%) had at least one CHADx, and 402 discharges (0.7%) had an ADE recorded. The highest proportion of ADEs was due to administration of analgesics (27%) and systemic antibiotics (23%). Other major contributors were anticoagulation (13%), anaesthesia (9%) and medications with cardiovascular side-effects (9%).

Conclusion Hospital data coded in ICD-10 can be used to identify ADEs that occur during hospital stays and also clinical conditions, therapeutic drug classes and treating units where these occur. Using the CHADx algorithm on administrative datasets provides a consistent and economical method for such ADE monitoring.

What is known about the topic? Adverse drug events (ADEs) can result in several different physical consequences, ranging from allergic reactions to death, thereby posing a significant burden on patients and the health system. Numerous studies have compared manual, written incident reporting systems used by hospital staff with computerised automated systems to identify ADEs acquired during hospital admissions. Despite various approaches aimed at improving the detection of ADEs, they remain under-reported, as a result of which interventions to mitigate the effect of ADEs cannot be initiated effectively.

What does this paper add? This research article demonstrates major methodological advances over comparable published studies looking at the effectiveness of using routine administrative data to monitor rates of ADEs that occur during a hospital stay and reviews the type of ADEs and their frequency patterns during patient admission. It also provides an insight into the effect of ADEs that occur within different hospital treating units. The method implemented in this study is unique because it uses a grouping algorithm developed for the Australian Commission on Safety and Quality in Health Care (ACSQHC) to identify ADEs not present on admission from patient data coded in ICD-10. This algorithm links the coded external causes of ADEs with their consequences or manifestations. ADEs identified through the use of programmed code based on this algorithm have not been studied in the past and therefore this paper adds to previous knowledge in this subject area.

What are the implications for health professionals? Although not all ADEs can be prevented with current medical knowledge, this study can assist health professionals in targeting interventions that can efficiently reduce the rate of ADEs that occur during a hospital stay, and improve information available for future medication management decisions.

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Objectives

To establish the prevalence of emergency responses for clinical deterioration (cardiac arrest team or medical emergency team [MET] activation) within 24 hours of emergency admission, and determine if there were differences in characteristics and outcomes of ward patients whose emergency response was within, or beyond, 24 hours of emergency admission.

Design, setting and participants:
A retrospective, descriptive, exploratory study using MET, cardiac arrest, emergency department and inpatient databases, set in a 365-bed urban district hospital in Melbourne, Australia. Participants were adult hospital inpatients admitted to a medical or surgical ward via the emergency department (ED) who needed an emergency response for clinical deterioration during 2012.

Main outcome measures:
Inhospital mortality, unplanned intensive care unit admission and hospital length of stay (LOS).

Results:
A total of 819 patients needed an emergency response for clinical deterioration: 587 patients were admitted via the ED and 28.4% of emergency responses occurred within 24 hours of emergency admission. Patients whose first emergency response was within 24 hours of emergency admission (compared with beyond 24 hours) were more likely to be triaged to Australasian triage scale category 1 (5.4% v 1.2%, P=0.005), less likely to require ICU admission after the emergency response (7.6% v 13.9%, P=0.039), less likely to have recurrent emergency responses during their hospital stay (9.7% v 34%, P < 0.001) and had a shorter median hospital LOS (7 days v 11 days, P < 0.001).

Conclusions:
One-quarter of emergency responses after admission via the ED occurred within 24 hours. Further research is needed to understand the predictors of deterioration in patients needing emergency admission.

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A useful patient admission prediction model that helps the emergency department of a hospital admit patients efficiently is of great importance. It not only improves the care quality provided by the emergency department but also reduces waiting time of patients. This paper proposes an automatic prediction method for patient admission based on a fuzzy min–max neural network (FMM) with rules extraction. The FMM neural network forms a set of hyperboxes by learning through data samples, and the learned knowledge is used for prediction. In addition to providing predictions, decision rules are extracted from the FMM hyperboxes to provide an explanation for each prediction. In order to simplify the structure of FMM and the decision rules, an optimization method that simultaneously maximizes prediction accuracy and minimizes the number of FMM hyperboxes is proposed. Specifically, a genetic algorithm is formulated to find the optimal configuration of the decision rules. The experimental results using a large data set consisting of 450740 real patient records reveal that the proposed method achieves comparable or even better prediction accuracy than state-of-the-art classifiers with the additional ability to extract a set of explanatory rules to justify its predictions.

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Introduction: The National Emergency Access Target was implemented to ensure 90% of patients leave emergency departments (EDs) within 4h. The impact of time driven performance on the number of physiologically unstable ward-based patients is unknown. An increase in clinical deterioration episodes potentially leading to adverse events will have resource implications for intensive care units (ICUs).
Objectives: To compare the characteristics and outcomes of patients who required an emergency response for clinical deterioration (cardiac arrest team or rapid response system activation) within and beyond 24 h of emergency admission to general medical and surgical units.
Methods: A retrospective exploratory design was used. The study site was a 365 bed urban hospital in Melbourne. Emergency responses for clinical deterioration during 2012 were examined.
Results: Of 819 emergency responses for clinical deterioration, 587 patients were admitted via ED. The median time to first responsewas59h, 28.4% of patients required this <24 h after admission. One in eight patients required ICU admission. Comparison of patients requiring a response within and beyond 24h of admission showed no significant differences in age, gender, waiting times, ED length of stay or in-hospital mortality rates. Patients in whom first emergency response occurred <24h after admission were less likely to be admitted to ICU immediately following the emergency response (7.6% vs 13.9%, p-0.039), less likely to have recurrent emergency responses during their hospitalisation (9.7% vs 34.0%, p<0.001), and had shorter median hospital length of stay (7 vs 11 days, p<0.001).
Conclusions: Considerable ICU resources were utilised given one in eight patients required ICU admission following emergency response, and patients admitted via the ED constituted 55% of all rapid response system activations. Exploring potential antecedents to clinical deterioration in this cohort may assist in establishing risk management strategies to reduce utilisation of ICU resources.