Is language a barrier for quality care in hospitals? A case series from an Emergency Department of a teaching hospital in Brisbane

Aim: The aim of this pilot study is to describe the use of an Emergency Department (ED) at a large metropolitan teaching hospital by patients who speak English or other languages at home. Methods: All data were retrieved from the Emergency Department Information System (EDIS) of this tertiary teaching hospital in Brisbane. Patients were divided into two groups based on the language spoken at home: patients who speak English only at home (SEO) and patients who do not speak English only or speak other language at home (NSEO). Modes of arrival, length of ED stay and the proportion of hospital admission were compared among the two groups of patients by using SPSS V18 software. Results: A total of 69,494 patients visited this hospital ED in 2009 with 67,727 (97.5%) being in the SEO group and 1,281 (1.80%) in the NSEO group. The proportion of ambulance utilisation in arrival mode was significantly higher among SEO 23,172 (34.2%) than NSEO 397 (31.0%), p <0.05. The NSEO patients had longer length of stay in the ED (M = 337.21, SD = 285.9) compared to SEO patients (M= 290.9, SD = 266.8), with 46.3 minutes (95%CI 62.1, 30.5, p <0.001) difference. The admission to the hospital among NSEO was 402 (31.9%) higher than SEO 17,652 (26.6%), p <0.001. Conclusion: The lower utilisation rates of ambulance services, longer length of ED stay and higher hospital admission rates in NSEO patients compared to SEO patients are consistent with other international studies and may be due to the language barriers.

What health problems overcrowd hospital emergency departments in Queensland and has this changed over time? A case study of two hospitals in Queensland 2001 - 2009

Aim: to describe what health problems patients attending emergency department with and whether this changed over time. Methods: Electronic data was retrieved from EDIS (Emergency Department Information System) and HBCIS (Hospital Based Clinical Information System) in two hospitals in Queensland in the period 2001-2009. The ICD-10 code of patient's diagnosis was then extrapolated and then group into ICD-10 chapters, such that the health problem can be presented. Results: Among the specific health problems, Chapter XIX 'Injury and poisoning' ranked number one consistently (ranging from 22.1% to 31.2% of the total presentations) in both the urban and remote hospitals in Queensland. The top ten specific presenting health problems in both the urban and remote hospital include Chapter XI 'Digestive system', Chapter XIV 'Genitourinary system', Chapter IX 'Circulatory system', and Chapter XIII 'Musculoskeletal system and connective tissue'. Chapter X 'Respiratory system' made the top ten presenting Chapters in both hospitals, but ranked much higher (number four consistently for the eight years, ranging from 6.8% to 8.3%) in the remote hospital. Chapter XV 'Pregnancy childbirth and puerperium' made to the top ten in the urban hospital only while Chapter XII 'Skin and subcutaneous tissue', Chapter I 'Infectious and parasitic diseases' made the top ten in the remote hospital only. Conclusion: The number one health problem presenting to both the urban and remote hospitals in Queensland is Chapter XIX 'Injury and poisoning', and it did not change in the period 211 - 2009.

Bayesian hierarchical models in statistical quality control methods to improve healthcare in hospitals

Quality oriented management systems and methods have become the dominant business and governance paradigm. From this perspective, satisfying customers’ expectations by supplying reliable, good quality products and services is the key factor for an organization and even government. During recent decades, Statistical Quality Control (SQC) methods have been developed as the technical core of quality management and continuous improvement philosophy and now are being applied widely to improve the quality of products and services in industrial and business sectors. Recently SQC tools, in particular quality control charts, have been used in healthcare surveillance. In some cases, these tools have been modified and developed to better suit the health sector characteristics and needs. It seems that some of the work in the healthcare area has evolved independently of the development of industrial statistical process control methods. Therefore analysing and comparing paradigms and the characteristics of quality control charts and techniques across the different sectors presents some opportunities for transferring knowledge and future development in each sectors. Meanwhile considering capabilities of Bayesian approach particularly Bayesian hierarchical models and computational techniques in which all uncertainty are expressed as a structure of probability, facilitates decision making and cost-effectiveness analyses. Therefore, this research investigates the use of quality improvement cycle in a health vii setting using clinical data from a hospital. The need of clinical data for monitoring purposes is investigated in two aspects. A framework and appropriate tools from the industrial context are proposed and applied to evaluate and improve data quality in available datasets and data flow; then a data capturing algorithm using Bayesian decision making methods is developed to determine economical sample size for statistical analyses within the quality improvement cycle. Following ensuring clinical data quality, some characteristics of control charts in the health context including the necessity of monitoring attribute data and correlated quality characteristics are considered. To this end, multivariate control charts from an industrial context are adapted to monitor radiation delivered to patients undergoing diagnostic coronary angiogram and various risk-adjusted control charts are constructed and investigated in monitoring binary outcomes of clinical interventions as well as postintervention survival time. Meanwhile, adoption of a Bayesian approach is proposed as a new framework in estimation of change point following control chart’s signal. This estimate aims to facilitate root causes efforts in quality improvement cycle since it cuts the search for the potential causes of detected changes to a tighter time-frame prior to the signal. This approach enables us to obtain highly informative estimates for change point parameters since probability distribution based results are obtained. Using Bayesian hierarchical models and Markov chain Monte Carlo computational methods, Bayesian estimators of the time and the magnitude of various change scenarios including step change, linear trend and multiple change in a Poisson process are developed and investigated. The benefits of change point investigation is revisited and promoted in monitoring hospital outcomes where the developed Bayesian estimator reports the true time of the shifts, compared to priori known causes, detected by control charts in monitoring rate of excess usage of blood products and major adverse events during and after cardiac surgery in a local hospital. The development of the Bayesian change point estimators are then followed in a healthcare surveillances for processes in which pre-intervention characteristics of patients are viii affecting the outcomes. In this setting, at first, the Bayesian estimator is extended to capture the patient mix, covariates, through risk models underlying risk-adjusted control charts. Variations of the estimator are developed to estimate the true time of step changes and linear trends in odds ratio of intensive care unit outcomes in a local hospital. Secondly, the Bayesian estimator is extended to identify the time of a shift in mean survival time after a clinical intervention which is being monitored by riskadjusted survival time control charts. In this context, the survival time after a clinical intervention is also affected by patient mix and the survival function is constructed using survival prediction model. The simulation study undertaken in each research component and obtained results highly recommend the developed Bayesian estimators as a strong alternative in change point estimation within quality improvement cycle in healthcare surveillances as well as industrial and business contexts. The superiority of the proposed Bayesian framework and estimators are enhanced when probability quantification, flexibility and generalizability of the developed model are also considered. The empirical results and simulations indicate that the Bayesian estimators are a strong alternative in change point estimation within quality improvement cycle in healthcare surveillances. The superiority of the proposed Bayesian framework and estimators are enhanced when probability quantification, flexibility and generalizability of the developed model are also considered. The advantages of the Bayesian approach seen in general context of quality control may also be extended in the industrial and business domains where quality monitoring was initially developed.

An exploratory study to examine the phenomenon and practice of ambulance ramping at hospitals within the Queensland Health Southern Districts and the Queensland Ambulance Service

Background: Ambulance Ramping, defined anecdotally as a practice where patients brought to emergency departments by ambulance experience delays to admission, has become more frequent in Australian emergency departments over the last few years. Previous research has shown a link between emergency department overcrowding, ambulance diversion and adverse outcomes for patients. However, there is very little research about Ambulance Ramping. The literature has no consistent definition of Ambulance Ramping, no description of how it is managed, and limited research on the effects it has on patient and service delivery outcomes...

Acuity and severity of patients attending 28 Queensland hospitals emergency departments in 2008-09

Overcrowding of hospital Emergency Departments (EDs) in Australia is a complex issue of high public and professional prominence, resulted from a combination of increasing demands, increased complexity of care and Access Block. The aim of this study is to describe the distribution of the acuity and severity of current Queensland ED patients to better understand ED users...

Emergency department in hospitals, a window of the world : a preliminary comparison between Australia and China

BACKGROUND: This study aimed to make a preliminary comparison of emergency department (ED) presentations between Australia and China. The comparison could provide insights into the health systems and burden of diseases and potentially stimulate discussion about the development of acute health system in China. METHODS: An observational study was performed to compare Australian ED presentations using data obtained from a single adult tertiary-referral teaching hospital in metropolitan Brisbane against Chinese ED presentations using public domain information published in existing Chinese and international medical journals. RESULTS: There are major differences in ED presentations between Australia and China. In 2008, 1) 35.4% of patients arrived at a tertiary teaching hospital ED in Brisbane, Australia by ambulance; 2) 1.7% were treated for poisoning; 3) 1.4% for cerebral vascular disease; 4) 1.7% for cardiac disease; and 5) 42.6% for trauma. The top events diagnosed were mental health problems including general psychiatric examination, psychiatric review, alcohol abuse, and counselling for alcohol abuse, which accounted for 5.5% of all ED presentations. Among ED patients in China, 6.7% arrived at a tertiary teaching hospital by ambulance in Shenyang in 1997; 3.7% were treated for poisoning in Shanxi Zhouzhi County People's Hospital ED in 2006; 14.9% for cerebral vascular diseases at Qinghai People's Hospital ED in 1993-1995; 1.7% for cardiac diseases at the Second People's Hospital ED, Shenzhen Longgang in 1993; and 44.3% for trauma at Shanxi Zhouzhi County People's Hospital ED in 2006. The top events were trauma and poisoning among the young and cerebral infarction in the older population. CONCLUSIONS: Compared with Australian, Chinese ED patients had 1) lower ambulance usage; 2) higher proportion of poisoning; 3) higher proportion of cerebral vascular diseases; 4) similar proportion of cardiac disease; 5) similar proportion of trauma; and 6) little reported mental health problems. Possible explanations for these differences in China include a pay for service pre-hospital care system, lack of public awareness about poisons, inadequate hypertension management, and lack of recognition of mental health problems.

Cost effectiveness of nutrition support in the prevention of pressure ulcer in hospitals

Background/objectives This study estimates the economic outcomes of a nutrition intervention to at-risk patients compared with standard care in the prevention of pressure ulcer. Subjects/methods Statistical models were developed to predict ‘cases of pressure ulcer avoided’, ‘number of bed days gained’ and ‘change to economic costs’ in public hospitals in 2002–2003 in Queensland, Australia. Input parameters were specified and appropriate probability distributions fitted for: number of discharges per annum; incidence rate for pressure ulcer; independent effect of pressure ulcer on length of stay; cost of a bed day; change in risk in developing a pressure ulcer associated with nutrition support; annual cost of the provision of a nutrition support intervention for at-risk patients. A total of 1000 random re-samples were made and the results expressed as output probability distributions. Results The model predicts a mean 2896 (s.d. 632) cases of pressure ulcer avoided; 12 397 (s.d. 4491) bed days released and corresponding mean economic cost saving of euros 2 869 526 (s.d. 2 078 715) with a nutrition support intervention, compared with standard care. Conclusion Nutrition intervention is predicted to be a cost-effective approach in the prevention of pressure ulcer in at-risk patients.

A national survey : transporting patients within Australian hospitals

A telephone survey was conducted to describe current practices and policies of patient transport in Australian hospitals.The survey had a 94% response rate. Results showed considerable variability and ambiguity throughout the samplein both practice and policy. Findings also indicated that criteria used for transport practices were predominantlyshaped by physiological and technological considerations. Factors related to human and financial resources, as well aspsychological and emotional aspects of the patient's condition, received little attention.

How do Australasian hospitals identify and manage malnutrition in their acute care wards?

One aim of the Australasian Nutrition Care Day Survey was to explore nutrition care practices in acute care hospital wards across Australia and New Zealand. Managers of Dietetic departments completed a questionnaire regarding ward nutrition care practices. Overall, 370 wards from 56 hospitals participated. The median ward size was 28 beds (range: 8–60 beds). Although there was a wide variation in full-time equivalent availability of dietitians (median: 0.3; range: 0–1.4), their involvement in providing nutrition care across ward specialities was signifi cantly higher than other staff members (χ2, p < 0.01). Feeding assistance, available in 89% of the wards, was provided mainly by nursing staff and family members (χ2, p < 0.01). Protected meal times were implemented in 5% (n = 18) of the wards. Fifty-three percent of the wards (n = 192) weighed patients on request and 40% (n = 148) on admission. Routine malnutrition screening was conducted in 63% (n = 232) of the wards and 79% (n = 184) of these wards used the Malnutrition Screening Tool, 16% (n = 37) the Malnutrition Universal Screening Tool, and 5% (n = 11) other tools. Nutrition rescreening was routinely conducted in 20% of the wards. Among wards that implemented nutrition screening, 41% (n = 100) routinely referred patients “at risk” of malnutrition to dietitians as part of their standard protocol for malnutrition management. Results of this study provide new knowledge regarding current nutrition care practice, highlight gaps in existing practice, and can be used to inform improved nutrition care in acute care wards across Australia and New Zealand.

Language affects length of stay in emergency departments in Queensland public hospitals

BACKGROUND: A long length of stay (LOS) in the emergency department (ED) associated with overcrowding has been found to adversely affect the quality of ED care. The objective of this study is to determine whether patients who speak a language other than English at home have a longer LOS in EDs compared to those whose speak only English at home. METHODS: A secondary data analysis of a Queensland state-wide hospital EDs dataset (Emergency Department Information System) was conducted for the period, 1 January 2008 to 31 December 2010. RESULTS: The interpreter requirement was the highest among Vietnamese speakers (23.1%) followed by Chinese (19.8%) and Arabic speakers (18.7%). There were significant differences in the distributions of the departure statuses among the language groups (Chi-squared=3236.88, P<0.001). Compared with English speakers, the Beta coeffi cient for the LOS in the EDs measured in minutes was among Vietnamese, 26.3 (95%CI: 22.1–30.5); Arabic, 10.3 (95%CI: 7.3–13.2); Spanish, 9.4 (95%CI: 7.1–11.7); Chinese, 8.6 (95%CI: 2.6–14.6); Hindi, 4.0 (95%CI: 2.2–5.7); Italian, 3.5 (95%CI: 1.6–5.4); and German, 2.7 (95%CI: 1.0–4.4). The fi nal regression model explained 17% of the variability in LOS. CONCLUSION: There is a close relationship between the language spoken at home and the LOS at EDs, indicating that language could be an important predictor of prolonged LOS in EDs and improving language services might reduce LOS and ease overcrowding in EDs in Queensland's public hospitals.

An exploration of the roles of nurses working in emergency care services in general hospitals in West Java, Indonesia : a grounded theory study

A review of literature on the role of emergency nurses in Indonesia revealed a dearth of research. Anecdotal evidence suggests a lack of clarity in role definition which has led to uncertainty and role ambiguity. Despite advances in the development of specialist nursing roles in Indonesia, that of the emergency nurse remains unclear. This study explored the role of nurses working in emergency care services in three general hospitals in West Java, Indonesia. The theoretical framework is grounded in Charmaz’s constructivist grounded theory. Data collection methods were observation, in-depth interviews and interrogation of related documents. Phase one of data collection involved 74 h of observation and nterviews with 35 nurses working in the three ED settings. For the purposes of theoretical sampling, a second phase of data collection was conducted. This involved a second nterview with eight participants from the three EDs. nterviews were also undertaken with the three key informants of nursing management of three related hospitals; key informants from the Indonesian Nurses Association; the Directorate of Nursing, Ministry of Health; and from the organization for ED nurses. Data analysis drew on Charmaz’s constructivist approach and the concepts of simultaneous data collection and analysis, constant comparison, coding, and theoretical sampling. The analysis generated four theoretical concepts that characterized the role of the emergency nurse: An arbitrary scope of practice, Struggling for recognition, Learning on the job and Looking to better practice. These concepts provided analytical direction for an exploration of the clinical and political dimensions of the role of the emergency nurse in Indonesia.

Prospective observational study of dementia in older patients admitted to acute hospitals

Aim Few Australian studies have examined the impact of dementia on hospital outcomes. The aim of this study was to determine the relative contribution of dementia to adverse outcomes in older hospital patients. Method Prospective observational cohort study (n = 493) of patients aged ≥70 years admitted to four acute hospitals in Queensland. Trained research nurses completed comprehensive geriatric assessments using standardised instruments and collected data regarding adverse outcomes. The diagnosis of dementia was established by independent physician review of patients' medical records and assessments. Results Patients with dementia (n = 102, 20.7%) were significantly older (P = 0.01), had poorer functional ability (P < 0.01), and were more likely to have delirium at admission (P < 0.01) than patients without dementia. Dementia (odds ratio = 4.8, P < 0.001) increased the risk of developing delirium during the hospital stay. Conclusion Older patients with dementia are more impaired and vulnerable than patients without dementia and are at greater risk of adverse outcomes when hospitalised.