966 resultados para Hospitals


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Background: Hospital disaster resilience can be defined as a hospital’s ability to resist, absorb, and respond to the shock of disasters while maintaining critical functions, and then to recover to its original state or adapt to a new one. This study aims to explore the status of resilience among tertiary hospitals in Shandong Province, China. Methods: A stratified random sample (n = 50) was derived from tertiary A, tertiary B, and tertiary C hospitals in Shandong Province, and was surveyed by questionnaire. Data on hospital characteristics and 8 key domains of hospital resilience were collected and analysed. Variables were binary, and analysed using descriptive statistics such as frequencies. Results: A response rate of 82% (n = 41) was attained. Factor analysis identified four key factors from eight domains which appear to reflect the overall level of disaster resilience. These were hospital safety, disaster management mechanisms, disaster resources and disaster medical care capability. The survey demonstrated that in regard to hospital safety, 93% had syndromic surveillance systems for infectious diseases and 68% had evaluated their safety standards. In regard to disaster management mechanisms, all had general plans, while only 20% had specific plans for individual hazards. 49% had a public communication protocol and 43.9% attended the local coordination meetings. In regard to disaster resources, 75.6% and 87.5% stockpiled emergency drugs and materials respectively, while less than a third (30%) had a signed Memorandum of Understanding with other hospitals to share these resources. Finally in regard to medical care, 66% could dispatch an on-site medical rescue team, but only 5% had a ‘portable hospital’ function and 36.6% and 12% of the hospitals could surge their beds and staff capacity respectively. The average beds surge capacity within 1 day was 13%. Conclusions: This study validated the broad utility of a framework for understanding and measuring the level of hospital resilience. The survey demonstrated considerable variability in disaster resilience arrangements of tertiary hospitals in Shandong province, and the difference between tertiary A hospitals and tertiary B hospitals was also identified in essential areas.

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Objective To evaluate methods for monitoring monthly aggregated hospital adverse event data that display clustering, non-linear trends and possible autocorrelation. Design Retrospective audit. Setting The Northern Hospital, Melbourne, Australia. Participants 171,059 patients admitted between January 2001 and December 2006. Measurements The analysis is illustrated with 72 months of patient fall injury data using a modified Shewhart U control chart, and charts derived from a quasi-Poisson generalised linear model (GLM) and a generalised additive mixed model (GAMM) that included an approximate upper control limit. Results The data were overdispersed and displayed a downward trend and possible autocorrelation. The downward trend was followed by a predictable period after December 2003. The GLM-estimated incidence rate ratio was 0.98 (95% CI 0.98 to 0.99) per month. The GAMM-fitted count fell from 12.67 (95% CI 10.05 to 15.97) in January 2001 to 5.23 (95% CI 3.82 to 7.15) in December 2006 (p<0.001). The corresponding values for the GLM were 11.9 and 3.94. Residual plots suggested that the GLM underestimated the rate at the beginning and end of the series and overestimated it in the middle. The data suggested a more rapid rate fall before 2004 and a steady state thereafter, a pattern reflected in the GAMM chart. The approximate upper two-sigma equivalent control limit in the GLM and GAMM charts identified 2 months that showed possible special-cause variation. Conclusion Charts based on GAMM analysis are a suitable alternative to Shewhart U control charts with these data.

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This thesis provided a definition and conceptual framework for hospital disaster resilience; it used a mixed-method, including an empirical study in tertiary hospitals of Shandong Province in China, to devise an assessment instrument for measuring hospital resilience. The instrument is the first of its type and will allow hospitals to measure their resilience levels. The concept of disaster resilience has gained prominence in the light of the increased impact of various disasters. The notion of resilience encompasses the qualities that enable the organisation or community to resist, respond to, and recover from the impact of disasters. Hospital resilience is essential as it provides 'lifeline' services which minimize disaster impact. This thesis has provided a framework and instrument to evaluate the level of hospital resilience. Such an instrument could be used to better understand hospital resilience, and also as a decision-support tool for its promoting strategies and policies.

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Objective: In 2011, the Australian Commission on Safety and Quality in Health Care (ACSQHC) recommended that all hospitals in Australia must have an Antimicrobial Stewardship (AMS) program by 2013. Nevertheless, little is known about current AMS activities. This study aimed to determine the AMS activities currently undertaken, and to identify gaps, barriers to implementation and opportunities for improvement in Queensland hospitals. Methods: The AMS activities of 26 facilities from 15 hospital and health services in Queensland were surveyed during June 2012 to address strategies for effective AMS: implementing clinical guidelines, formulary restriction, reviewing antimicrobial prescribing, auditing antimicrobial use and selective reporting of susceptibility results. Results: The response rate was 62%. Nineteen percent had an AMS team (a dedicated multidisciplinary team consisting of a medically trained staff member and a pharmacist). All facilities had access to an electronic version of Therapeutic Guidelines: Antibiotic, with a further 50% developing local guidelines for antimicrobials. One-third of facilities had additional restrictions. Eighty-eight percent had advice for restricted antimicrobials from in-house infectious disease physicians or clinical microbiologists. Antimicrobials were monitored with feedback given to prescribers at point of care by 76% of facilities. Deficiencies reported as barriers to establishing AMS programs included: pharmacy resources, financial support by hospital management, and training and education in antimicrobial use. Conclusions: Several areas for improvement were identified: reviewing antimicrobial prescribing with feedback to the prescriber, auditing, and training and education in antimicrobial use. There also appears to be a lack of resources to support AMS programs in some facilities. What is known about the topic? The ACSQHC has recommended that all hospitals implement an AMS program by 2013 as a requirement of Standard 3 (Preventing and Controlling Healthcare-Associated Infections) of the National Safety and Quality Health Service Standards. The intent of AMS is to ensure appropriate prescribing of antimicrobials as part of the broader systems within a health service organisation to prevent and manage healthcare-associated infections, and improve patient safety and quality of care. This criterion also aligns closely with Standard 4: Medication Safety. Despite this recommendation, little is known about what AMS activities are undertaken in these facilities and what additional resources would be required in order to meet these national standards. What does the paper add? This is the first survey that has been conducted of public hospital and health services in Queensland, a large decentralised state in Australia. This paper describes what AMS activities are currently being undertaken, identifies practice gaps, barriers to implementation and opportunities for improvement in Queensland hospitals. What are the implications for practitioners? Several areas for improvement such as reviewing antimicrobial prescribing with feedback to the prescriber, auditing, and training and education in antimicrobial use have been identified. In addition, there appears to be a lack of resources to support AMS programs in some facilities.

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Hospitals invest considerable resources organizing operating suites and having surgeons and theatre staff available on an agreed schedule. A common impediment to efficiency is perioperative delay,including delays getting to the operating room or during the operation. Perioperative delays entail significant costs for hospitals,wasting staff time and operating theatre resources. They may also affect patient outcomes; prolonged surgery is a predictor for unanticipated admission following elective ambulatory surgery...

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While many Australian hospitals have good infection control practices, research about the role cleaning in the hospital environment plays in preventing infections is limited.

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Background The frequency of prescribing potentially inappropriate medications (PIMs) in older patients remains high despite evidence of adverse outcomes from their use. Little is known about whether admission to hospital has any effect on appropriateness of prescribing. Objectives This study aimed to identify the prevalence and nature of PIMs and explore the association of risk factors for receiving a PIM. Methods This was a prospective study of 206 patients discharged to residential aged care facilities (RACFs) from acute care. All patients were aged at least 70 years and were admitted between July 2005 and May 2010; their admission and discharge medications were evaluated. Results Mean patient age was 84.8 ± 6.7 years; the majority (57%) were older than 85 years and mean (SD) Frailty Index was 0.42 (0.15). At least one PIM was identified in 112 (54.4%) patients on admission and 102 (49.5%) patients on discharge. Of all medications prescribed at admission (1728), 10.8% were PIMs and at discharge of 1759 medications, 9.6% were PIMs. Of total 187 PIMs on admission, 56 (30%) were stopped and 131 were continued; 32 new PIMs were introduced. Of the potential risk factors considered, in-hospital cognitive decline and frailty status were the only significant predictors of PIMs. Conclusion Although, admission to hospital is an opportunity to review the indications for specific medications, a high prevalence of inappropriate drug use was observed. The only associations with PIM use were the frailty status and in-hospital cognitive decline. Additional studies are needed to further evaluate this association.

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In North America and Europe, the binary toxin positive Clostridium difficile strains of the ribotypes 027 and 078 have been associated with death, toxic megacolon and other adverse outcomes. Following an increase in C. difficile infections (CDIs) in Queensland, a prevalence study involving 175 hospitals was undertaken in early 2012, identifying 168 cases of CDI over a 2 month period. Patient demographics and clinical characteristics were recorded, and C. difficile isolates were ribotyped and tested for the presence of binary toxin genes. Most patients (106/168, 63.1%) were aged over 60 years. Overall, 98 (58.3%) developed symptoms after hospitalisation; 89 cases (53.0%) developed symptoms more than 48 hours after admission. Furthermore, 27 of the 62 (67.7%) patients who developed symptoms in the community ad been hospitalised within the last 3 months. Thirteen of the 168 (7.7%) cases identified had severe disease, resulting in admission to the Intensive Care Unit or death within 30 days of the onset of symptoms. The 3 most common ribotypes isolated were UK 002 (22.9%), UK 014 (13.3%) and the binary toxin-positive ribotype UK 244 (8.4%). The only other binary toxin positive ribotype isolated was UK 078 (n = 1). Of concern was the detection of the binary toxin positive ribotype UK 244, which has recently been described in other parts of Australia and New Zealand. No isolates were of the international epidemic clone of ribotype UK 027, although ribotype UK 244 is genetically related to this clone. Further studies are required to track the epidemiology of ribotype UK 244 in Australia and New Zealand. Commun Dis Intell 2014;38(4):E279–E284.

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Background The frequency of prescribing potentially inappropriate medications (PIMs) in older patients remains high regardless of the evidence of adverse outcomes from their use. This study aims to identify the prevalence and nature of PIMs at admission to acute care and at discharge to residential aged care facilities (RACFs) using the recently updated Beers’ Criteria. We also aim to identify if polypharmacy, age, gender and the frailty status of patients are independent risk factors for receiving a PIM. Methods This was a retrospective study of 206 patients discharged to RACFs from acute care. All patients were aged at least70 years and were admitted between July 2005 and May 2010; their admission and discharge medications were evaluated. Frailty status was measured as the Frailty Index (FI), adding each individual’s deficits and dividing by the total number of deficits considered, with FI 0.25 used as the cut-off between “fit” and “frail”. Results Mean patient age was 84.8 ± 6.7 years; the majority (57%) were older than 85 years and approximately 90% were frail. Patients were prescribed a mean of 7.2 regular medications at admission and 8.1 on discharge. At least one PIM was identified in 112 (54.4%) patients on admission and 102 (49.5%) patients on discharge. Of all medications prescribed at admission (1728), 10.8% were PIMs and at discharge of 1759 medications, 9.6% were PIMs. Of the total 187 PIMs on admission, 56 (30%) were stopped, and 131 were continued; 32 new PIMs were introduced. Commonly prescribed PIMs at both admission and discharge were central nervous system, cardiovascular and gastrointestinal drugs and analgesics. Of the potential risk factors, frailty status was the only significant predictor of PIMs at both admission and discharge (p = 0.016). Conclusion A high prevalence of unnecessary drug use was observed in frail older patients on admission to acute care hospitals and on discharge to RACFs. The only association with PIM use was the frailty status of patients. Further studies are needed to further evaluate this association.

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Improving the performance of health sector is one of the most popular issues in Australia. This paper contributes to this important policy debate by examining the efficiency of health facilities in Queensland using the Malmquist Productivity Index (MPI). This method is selected because it is suitable for the multi-input, multi-output, and not-for-profit natures of public health services. In addition, with the availability of panel data we can decompose productivity growth into useful components, including technical efficiency changes, technological changes and scale changes. The results revealed an average of 1.6 per cent of growth in total factor productivity (TFP) among Queensland public hospitals in the study period. The main component contributing to the modest improvement of TFP during the period was catching-up at an average of 1.0 per cent. SFA estimates suggest that the number of nurses is the most influential determinant of output.

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Introduction Chest pain is common in emergency department (ED) patients and represents a considerable burden for rural health services. Health services reforms to improve access to care need appropriately skilled and supported clinicians in the delivery of safe and effective care, including the use of emergency nurse practitioners (ENPs). Despite increasing use of ENPs, little is known about the safety and quality of the service in the rural ED context. The aims of this study are (1) to examine the safety and quality of the ENP service model in the provision of care in the rural environment and (2) to evaluate the effectiveness of the service in the management of patients presenting with undifferentiated chest pain. Methods and analysis This is the protocol for a prospective longitudinal nested cohort study to compare the effectiveness of ENP service with that of standard care. Adults presenting to three rural EDs in Queensland, Australia with a primary presenting complaint of atraumatic chest pain will be eligible for enrolment. We will measure (1) clinician's use of evidence-based guidelines (2) diagnostic accuracy of ECG interpretation for the management of patients with suspected or confirmed ACS (3) service indicators of waiting times, length-of-stay and did-not-wait rates and (4) clinician's diagnostic accuracy as measured by rates of unplanned representation within 7 days (5) satisfaction with care, (6) quality-of-life and (7) functional status. To assess these outcomes we will use a combination of measures collected from routinely collected data, medical record review and questionnaires (with 30-day follow-up). Ethics and dissemination Queensland Health Human Research Ethics Committee (HREC) has approved this protocol. The results will be published in peer-reviewed scientific journals and presented at one or more scientific conferences.