Outlier or handover: outcomes for General Medicine inpatients.

Objective Patients admitted from the emergency department may be co-located on the treating team's 'home ward'. If no bed is available, patients may be sent to another ward, where they may remain under the admitting team as an 'outlier'. Conversely, care may be handed over to the team on whose home ward they are located. We conducted a retrospective analysis to understand the impact of outlier status and handovers of care on outcomes for General Medicine inpatients. Methods General Medicine admissions at the Royal Adelaide Hospital between September 2020 and November 2021 were analysed. We examined the rate of hospital-acquired complications, inpatient mortality rate, mortality within 48 h of admission, Relative Stay Index, time of discharge from hospital and rate of adverse events within 28 days of discharge. Results A total of 3109 admissions were analysed. Handovers within 24 h of admission were associated with a longer length of stay. There was a trend towards higher rates of adverse events within 28 days of discharge with handovers of care. Outlier status did not affect any outcome measures. Conclusions Handovers within the first 24 h of admission are associated with longer than expected length of stay.

Tolerability and acceptability of real-time continuous glucose monitoring and its impact on diabetes management behaviours in individuals with Type 2 Diabetes - A pilot study.

INTRODUCTION: Emerging evidence suggests us of real-time continuous glucose monitoring systems (RT-CGM), can assist to improve glucose control in Type 2 Diabetes (T2D) treatment, however the impact of these devices on patients' stress levels and behaviour is poorly understood. This study aimed to examine the effects of RT-CGM on tolerance and acceptability of device wear, stress and diabetes management and motivation to change. METHODS: Twenty adults (10 men, 10 women) with T2D (aged 60.6 ±â€¯8.4 years, BMI 34.2 ±â€¯4.7 kg/m2), were randomised to a low-carbohydrate lifestyle plan whilst wearing a RT-CGM or an 'offline-blinded' (Blinded-CGM) monitoring system continuously for 12 weeks. Outcomes were glycaemic control (HbA1c), weight (kg) perceived stress scale (PSS), CGM device intolerance, acceptability, motivation to change and diabetes management behaviour questionnaires. RESULTS: Both groups experienced significant reductions in body weight (RT-CGM -7.4 ±â€¯4.5 kg vs. Blinded-CGM -5.5 ±â€¯4.0 kg) and HbA1c (-0.67 ±â€¯0.82% vs. -0.68 ±â€¯0.74%). There were no differences between groups for perceived stress (P = 0.47) or device intolerance at week 6 or 12 (both P > 0.30). However, there was evidence of greater acceptance of CGM in the RT-CGM group at week 12 (P = 0.03), improved blood glucose monitoring behaviour in the RT-CGM group at week 6 and week 12 (P ≤ 0.01), and a significant time x group interaction (P = 0.03) demonstrating improved diabetes self-management behaviours in RT-CGM. CONCLUSION: This study provides preliminary evidence of improved behaviours that accompany RT-CGM in the context of diabetes management and glucose self-monitoring. RT-CGM may provide an alternative approach to glucose management in individuals with T2D without resulting in increased disease distress.

Comparison of specialist and generalist care.

Objective The choice of whether to admit under a specialist or a generalist unit is often made with neither clear rationale nor understanding of its consequences. The present study compared the characteristics and outcomes of patients admitted with community-acquired pneumonia to either a general medicine or respiratory unit. Methods This study was a retrospective cross-sectional study using data from public hospitals in Adelaide, South Australia. Over 5 years there were 9775 overnight, unplanned appropriate adult admissions. Patient length of hospital stay, in-patient mortality rate and 30-day unplanned readmission rate were calculated, with and without adjustment for patient age and comorbidity burden. Results Over 80% of these patients were cared for by a general medicine unit rather than a specialist unit. Patients admitted to a general medicine unit were, on average, 4 years older than those admitted to a respiratory unit. Comorbidity burdens were similar between units at the same hospital. Length of in-patient stay was >1 day shorter for those admitted to a general medicine unit, without significant compromise in mortality or readmission rates. Between each hospital, general medicine units showed a range of mortality rates and length of hospital stay, for which there was no obvious explanation. Conclusions Compared with speciality care, general medicine units can safely and efficiently care for patients presenting to hospital with community-acquired pneumonia. What is known about the topic? Within the narrow range of any specific disease, generalist medical services are often cited as inferior in performance compared with a speciality service. This has implications for hospital resourcing, including both staffing and ward allocation. What does this paper add? This paper demonstrates that most patients admitted with a principal diagnosis of community-acquired pneumonia were admitted to a generalist unit and did not apparently fare worse than patients admitted to a specialist service; patients admitted to a generalist unit spent less time in hospital and there was no difference in mortality or readmission rate compared with patients admitted to a specialist service. What are the implications for practitioners? The provision of generalist services at urban hospitals in Australia provides a safe alternative admission option for patients presenting with pneumonia, and possibly for other common acute medical conditions.

Investigation of the benefits of early malnutrition screening with telehealth follow up in elderly acute medical admissions.

BACKGROUND: The benefit of providing early nutrition intervention and its continuation post-discharge in older hospitalized patients is unclear. This study examined efficacy of such an intervention in older patients discharged from acute care. METHODS: In this randomized controlled trial, 148 malnourished patients were randomized to receive either a nutrition intervention for 3 months or usual care. Intervention included an individualized nutrition care plan plus monthly post-discharge telehealth follow-up whereas control patients received intervention only upon referral by their treating clinicians. Nutrition status was determined by the Patient Generated Subjective Global Assessment (PG-SGA) tool. Clinical outcomes included changes in length of hospital stay, complications during hospitalization, Quality of life (QoL), mortality and re-admission rate. RESULTS: Fifty-four males and 94 females (mean age, 81.8 years) were included. Both groups significantly improved PG-SGA scores from baseline. There was no between-group differences in the change in PG-SGA scores and final PG-SGA scores were similar at 3 months 6.9 (95% CI 5.6-8.3) vs. 5.8 (95% CI 4.8-6.9) (P = 0.09), in control and intervention groups, respectively. Median total length of hospital stay was 6 days shorter in the intervention group (11.4 (IQR 16.6) vs. 5.4 (IQR 8.1) (P = 0.01). There was no significant difference in complication rate during hospitalization, QoL and mortality at 3-months or readmission rate at 1, 3 or 6 months following hospital discharge. CONCLUSION: In older malnourished inpatients, an early and extended nutrition intervention showed a trend towards improved nutrition status and significantly reduced length of hospital stay.

Clinical outcomes for the obese hospital inpatient: An observational study.

OBJECTIVES: The prevalence of obesity presents a burden for Australian health care. The aim of this study was to determine whether severely obese hospital inpatients have worse outcomes. METHODS: This is an observational cohort study, using data from all adult patients admitted to hospital for all elective and emergency admissions of patients aged over 18 years to two large Australian urban hospitals. We measured their length of stay, intensive care unit admission rate, intensive care unit length of stay, mortality and readmission rates within 28 days of discharge and compared these outcomes in the severely obese and non-severely obese subjects using t-test or chi-square test as appropriate. RESULTS: Between February 2008 and February 2012, 120,872 were admitted to hospital 193,800 times; 2701 patients were identified as severely obese (2.23%) and 118,171 patients were non-severely obese. If admitted as an emergency, severely obese patients have worse outcomes and consume more resources than other patients. These outcomes are still worse, but less so, if the obese patient is admitted as an elective patient suggesting that anticipation of any obesity-specific problems can have a beneficial effect. CONCLUSION: Upon admission or discharge of severely obese hospital inpatients, health care plans should be even more carefully laid than usual to reduce the risk of readmission.

A newly designed observation and response chart's effect upon adverse inpatient outcomes and rapid response team activity.

BACKGROUND: Adverse inpatient events may diminish with earlier response to clinical deterioration. Observation and response charts with a tiered escalation response are recommended for use. AIMS: To examine the impact of an observation and response chart and altered calling criteria on rapid response team (RRT) calls, cardiac arrests and intensive care unit (ICU) admissions from the ward and hospital deaths. METHODS: Linked administrative and clinical data from an Australian, adult tertiary hospital for August 2007 to June 2013 (pre-chart) and July 2013 to December 2014 (post-chart) and analysed using interrupted time series analysis. RESULTS: Pre-chart RRT calls were increasing by 1.7 calls per 10 000 hospital admissions per month, whilst ICU admissions from the ward, deaths and cardiac arrests were decreasing by 0.3, 0.25 and 0.079 per 10 000 admissions per month respectively. Immediately upon chart introduction, the RRT call rate increased by 82% (66-98% CI; P < 0.01), the ward admissions to ICU rate increased by 41% (14-67% CI; P < 0.01) and the rates of deaths and cardiac arrests did not change. In the post chart period, both the pre-chart increasing trend in the rate of RRT and decreasing trend in the rate of ICU admissions changed significantly to become constant. The pre chart trends in the cardiac arrest rate and hospital mortality did not change. CONCLUSION: Observation and response charts increased RRT and ICU workload without improving cardiac arrest rate or mortality. Future chart evaluation should identify features beneficial to patient outcomes and refine those that consume critical care resources that are not associated with improved patient outcomes.

Long-term effects of very low-carbohydrate and high-carbohydrate weight-loss diets on psychological health in obese adults with type 2 diabetes: randomized controlled trial.

BACKGROUND/OBJECTIVE: Very low-carbohydrate, high-fat (LC) diets are used for type 2 diabetes (T2DM) management, but their effects on psychological health remain largely unknown. This study examined the long-term effects of an LC diet on psychological health. METHODS: One hundred and fifteen obese adults [age: 58.5 ± 7.1 years; body mass index: 34.6 ± 4.3 kg m(-2) ; HbA1c : 7.3 ± 1.1%] with T2DM were randomized to consume either an energy-restricted (~6 to 7 MJ), planned isocaloric LC or high-carbohydrate, low-fat (HC) diet, combined with a supervised exercise programme (3 days week(-1) ) for 1 year. Body weight, psychological mood state and well-being [Profile of Mood States (POMS), Beck Depression Inventory (BDI) and Spielberger State Anxiety Inventory (SAI)] and diabetes-specific emotional distress [Problem Areas in Diabetes (PAID) Questionnaire] and quality of life [QoL Diabetes-39 (D-39)] were assessed. RESULTS: Overall weight loss was 9.5 ± 0.5 kg (mean ± SE), with no difference between groups (P = 0.91 time × diet). Significant improvements occurred in BDI, POMS (total mood disturbance and the six subscales of anger-hostility, confusion-bewilderment, depression-dejection, fatigue-inertia, vigour-activity and tension-anxiety), PAID (total score) and the D-39 dimensions of diabetes control, anxiety and worry, sexual functioning and energy and mobility, P < 0.05 time. SAI and the D-39 dimension of social burden remained unchanged (P ≥ 0.08 time). Diet composition had no effect on the responses for the outcomes assessed (P ≥ 0.22 time × diet). CONCLUSION: In obese adults with T2DM, both diets achieved substantial weight loss and comparable improvements in QoL, mood state and affect. These results suggest that either an LC or HC diet within a lifestyle modification programme that includes exercise training improves psychological well-being.

Impact of the emergency department streaming decision on patients' outcomes.

BACKGROUND: Streaming occurs in emergency department (ED) to reduce crowding, but misallocation of patients may impact patients' outcome. AIM: The study aims to determine the outcomes of patients misallocated by the ED process of streaming into likely admission or discharge. METHODS: This is a retrospective cohort study, at an Australian, urban, tertiary referral hospital's ED between January 2010 and March 2012, using propensity score matching for comparison. Total and partitioned ED lengths of stay, inpatient length of stay, in-hospital mortality and 7- and 28-day unplanned readmission rate were compared between patients who were streamed to be admitted against those streamed to be discharged. RESULTS: Total ED length of stay did not differ significantly for admitted patients if allocated to the wrong stream (median 7.6 h, interquartile range 5.7-10.6, cf. 7.5 h, 5.3-11.2; P = 0.34). The median inpatient length of stay was shorter for those initially misallocated to the discharge stream (1.8 days, 1.1-3.0, cf. 2.4 days, 1.4-3.9; P < 0.001). In-hospital mortality and 7- and 28-day readmission rates were not adversely affected by misallocation. When considering patients eventually discharged from the ED, those allocated to the wrong stream stayed in the ED longer than those appropriately allocated (5.2 h, 3.7-7.3, cf. 4.6 h, 3.3-6.4; P < 0.001). CONCLUSION: There were no significant adverse consequences for an admitted patient initially misallocated by an ED admission/discharge streaming process. Patients' discharge from the ED was slower if they had been allocated to the admission stream. Streaming carries few risks for patients misallocated by such a process.

Variability in inpatient serum creatinine: its impact upon short- and long-term mortality.

BACKGROUND: Long-staying medical inpatients carry a significant burden of acute and chronic illness. Prediction of their in-hospital and longer-term mortality risk is important. AIM: The aim of this study was to determine to what extent creatinine variability predicts in-hospital and 1-year mortality in inpatients. DESIGN: Retrospective cohort analysis. METHODS: Patients were included if aged 18 years or older and if admitted for 7 days or longer. The main outcome variables were mortality in hospital and after discharge. RESULTS: Increasing age, the presence of heart failure and a reduced estimated glomerular filtration rate (eGFR) on admission (<60 ml/min/1.73 m(2)) all associated with death risk (both in hospital and within a year of discharge). The creatinine change was related to mortality risk for the patient whilst in hospital and within 1 year after discharge independently of these other factors. The threshold of creatinine change, above which the in-hospital mortality rose significantly was 25 µmol/l (P < 0.001). A creatinine change of >10 µmol/l predicted significantly higher mortality within a year of discharge (P < 0.001). Every 5 µmol/l change in creatinine was associated with an in-hospital mortality increase of 3% (P < 0.001) and a 1-year mortality increase of 1% (P < 0.007). CONCLUSIONS: Patients with a creatinine rise or fall of >10 µmol/l during admission are at higher risk of death after discharge than those with more stable creatinine. These patients therefore merit further attention that might include more focused nutritional assessment, cardiovascular risk factor management or advance care planning.

A comparison of educational interventions to improve prescribing by junior doctors.

BACKGROUND: Prescribing is a complex task with potential for many types of error to occur. Despite the introduction of a standard national medication chart for Australian hospital inpatients in 2006, simple prescribing errors are common. AIM: To compare the effect of quality improvement initiatives on the rate of simple prescribing errors. DESIGN: A prospective, multisite comparison of prescribing education interventions. METHODS: Using three hospital sites, we compared site-specific changes in prescribing error rates following use of an online education module alone (low intensity) with prescribing error rates following a high-intensity intervention (comprising the same online education module plus nurse education and academic detailing of junior prescribers). The study period was 4 months between May and August 2011. RESULTS: Full completion of the adverse drug reactions field did not improve after either intervention; however, there was better documentation of some elements following high-intensity intervention. Prescriber performance improved significantly for more elements in the regular prescription category than any other category of prescription. Legibility of medication name improved across all categories following interventions. Clarity of frequency, prescriber name and documentation of indication improved following both high- and low-intensity intervention. CONCLUSIONS: Improvements were seen in several prescription elements after the intervention but the majority of elements that improved were affected by both low- and high-intensity interventions. Despite targeted intervention, significant rates of prescribing breaches persisted. The prevalence of prescription breaches partially responds to an online education module. The nature of any additional intervention that would be effective is unclear.

Characteristics favouring a delayed disposition decision in the emergency department.

BACKGROUND: The working hours of a hospital affects efficiency of care within the emergency department (ED). Understanding the influences on ED time intervals is crucial for process redesign to improve ED patient flow. AIM: To assess characteristics that affect patients' transit through an ED. METHODS: Retrospective cohort study from 2004 to 2010 of 268 296 adult patients who presented to the ED of an urban tertiary-referral Australian teaching hospital. RESULTS: After adjustment for Australasian Triage Scale (ATS) category, every decade increase in age meant patients spent an additional 2 min in the ED waiting to be seen (P < 0.001) and an extra 29-min receiving treatment (P < 0.001). For every additional 10 patients in the ED, the 'waiting time' (WT) phase duration increased by 20 min (P < 0.001) and the 'Assessment and Treatment Time' (ATT) phase duration increased by 26 min (P < 0.001). When patients arrived outside working hours, the WT phase duration increased by 20 min (P < 0.001). When seen outside working hours, the ATT phase duration increased by 34.5 min (P < 0.001). CONCLUSION: Extrinsic to the patients themselves and in addition to ED overcrowding, the working hours of the hospital affected efficiency of care within the ED. Not only should the whole of the hospital be involved in improving efficient and safe transit of patients through an ED, but the whole of the day and every day of the week deserve attention.

Emergency department lengths of stay: characteristics favouring a delay to the admission decision as distinct from a delay while awaiting an inpatient bed.

BACKGROUND: A prolonged stay for a patient within the emergency department (ED) can adversely affect the outcome of their ensuing hospital admission. AIMS: To investigate the characteristics of those eventual general medical hospital inpatients who stay in the ED awaiting a decision to be admitted and then await a bed. METHODS: Data from Flinders Medical Centre's patient journey database were analysed. The analysis was carried out on 19 476 patients admitted as an emergency under the General Medicine units. RESULTS: A less urgent Australian Triage Scale category significantly prolonged triage-to-admit time but did not affect boarding time. The decision to admit a patient took 29% longer for patients who presented to the ED outside of working hours. However, a decision to admit taken outside working hours meant the boarding time was over 3 h shorter than if the decision had been taken inside working hours. For every additional patient in the ED at the time of presentation, the admission decision was delayed by about half a minute. Every additional patient in the ED at the time of an admission decision increased boarding time by almost 10 min. CONCLUSION: Outside of working hours, patients presenting to ED have longer triage-to-admit times while patients for admission have shorter boarding times. ED congestion delays admission decisions only slightly and prolongs patients' boarding times to a greater extent. Strategies to reduce the time patients spend in ED should differ depending on whether a decision to admit the patient has been reached.

Inadequate resuscitation documentation in older patients' clinical case notes.

This research examined the quality of resuscitation decisions documented in the clinical notes of 99 older patients within 48 h of admission. Only 34 had current documentation that was frequently inconsistent and ambiguous, leaving patients at risk of receiving inappropriate and unwanted resuscitation. Clear guidelines with community input to guide the implementation and documentation of end-of-life decisions are essential.

The survival of patients with not-for-resuscitation orders.

BACKGROUND: Studies have shown higher in-hospital mortality rates in patients with not-for-resuscitation (NFR) decisions. Long-term survival of these patients after their discharge from acute care is largely unknown as is communication of such decisions to primary care givers through letters or discharge summaries. AIM: To evaluate the in-hospital mortality and post-discharge survival of general medical patients with documented resuscitation decisions as well as the prevalence of these decisions being communicated to primary health care providers through discharge summaries. DESIGN: Retrospective cross-sectional study. METHODS: The medical records of 618 general medical patients admitted to an Australian tertiary referral teaching hospital between January and December 2007 were reviewed to determine the documentation of resuscitation decisions. Mortality rates in-hospital and up to 5 years post-discharge were assessed in relation to the nature of any resuscitation decisions. Communication of these decisions in the discharge summaries was also evaluated. RESULTS: One hundred and thirty-six (22%) patients had resuscitation decisions documented of whom 91 (67%) did not want resuscitation (NFR). For this NFR group, the in-hospital mortality rate was 20%, and their cumulative 1- and 5-year mortality rates were 53 and 85%, respectively. Of the 112 patients with resuscitation decisions who survived to discharge, 104 of them (93%) had discharge summaries completed but only 9 (8.4%) had resuscitation decisions documented in those discharge summaries. CONCLUSION: Many general medical patients with a documented NFR decision survive beyond 1 year after their index admission. The rate of communication of resuscitation decisions in hospital discharge summaries is low.

Characteristics and outcomes of discharges against medical advice among hospitalised patients.

BACKGROUND: Discharge against medical advice (DAMA) occurs when an in-patient chooses to leave the hospital before discharge is recommended by the treating clinicians. The long-term outcomes of patients who DAMA are not well documented. AIM: The objective of this long-term and hospital-wide study is to examine characteristics of patients who DAMA, their rates of readmission and mortality after self-discharge. METHODS: Administrative data of admissions to Flinders Medical Centre between July 2002 and June 2011 were used to compare readmissions and mortality among patients who DAMA with those who did not. The outcomes were adjusted for age, gender, emergency admission status, comorbidity, mental health diagnoses, and alcohol and substance abuse. RESULTS: In the study period, 1562 episodes (1.3%) of 121,986 admissions to Flinders Medical Centre were DAMA. Compared with those who did not leave against medical advice, these patients were younger, more often male, more likely of indigenous ethnicity and had less physical comorbidity, but greater mental health comorbidity. Half of the DAMA group stayed less than 3 days. In multivariate analysis, the relative risk for 7-day, 28-day and 1-year readmission in the DAMA group was 2.36 (95% confidence interval (CI), 1.99-2.81; P < 0.001), 1.66 (95% CI, 1.44-1.92; P < 0.001) and 1.31 (95% CI, 1.19-1.45; P < 0.001), respectively, compared with standard discharges. Furthermore, DAMA was associated with twofold (P = 0.02), 1.4-fold (P = 0.025) and 1.2-fold (P = 0.049) increase in 28-day, 1-year and up-to-9-year mortality, respectively, compared with non-DAMA. CONCLUSIONS: Patients who self-discharged against medical advice carry a significant risk of readmission and mortality. Patients with characteristics of 'at risk of DAMA' should have greater attention paid to their care before and especially after any premature discharge.

Relationship between in-hospital location and outcomes of care in patients of a large general medical service.

BACKGROUND: The discrepancy between the number of admissions and the allocation of hospital beds means that many patients admitted under the care of a general medical service can be placed in other departments' wards. These patients are called 'outliers', and their outcomes are unknown. AIMS: To examine the relation between the proportion of time each patient spent in their 'home ward' during an index admission and the outcomes of that hospital stay. METHODS: Data from Flinders Medical Centre's patient journey database were extracted and analysed. The analysis was carried out on the patient journeys of patients admitted under the general medicine units. RESULTS: Outlier patients' length of stay was significantly shorter than that of the inlier patients (110.7 h cf 141.9 h; P < 0.001).They had a reduced risk of readmission within 28 days of discharge from hospital. Outlier patients' discharge summaries were less likely to be completed within a week (64.3% cf 78.0%; P < 0.001). Being an outlier patient increased the risk-adjusted risk of in-hospital mortality by over 40%. Fifty per cent of deaths in the outlier group occurred within 48 h of admission. Outlier patients had spent longer in the emergency department waiting for a bed (6.3 h cf 5.3 h; P < 0.001) but duration of emergency department stay was not an independent predictor of mortality risk. CONCLUSION: Outlier patients had significantly shorter length of stay in hospital but significantly greater in-patient death rates. Surviving outlier patients had lower rates of readmission but lower rates of discharge summary completion.

The significance of reduced kidney function among hospitalized acute general medical patients.

BACKGROUND: Inpatient general medical units often look after older patients who have more complex co-morbidity including renal insufficiency. The consequences of renal insufficiency with respect to length of hospital stay (LOS) and mortality have not been well described in hospitalized general medical patients. AIM: To use a general medical inpatient population to evaluate the impact of reduced kidney function. DESIGN: Retrospective cross-sectional study. METHODS: We studied 504 acute medical admissions through an Acute Assessment Unit between February and November 2007. Patients were classified as having chronic kidney disease (CKD), acute kidney injury (AKI), neither (control) or both. LOS, in-hospital mortality and post-discharge survival were evaluated. RESULTS: Renal impairment was present in 151 patients. Ninety patients had CKD only and 61 had AKI with or without CKD. In-hospital mortality was increased in those with renal impairment compared with controls (9.3 vs. 3.4%; P = 0.006). Within 4 years of admission, 187 (39%) patients had died. Post-discharge mortality was significantly higher in all renal failure populations (hazard ratio: 2.57-4.38; P < 0.01). Adjustment for patient age, gender and Charlson index explained the increased mortality during and after hospital admission but did not explain increased LOS. Only a small proportion (13%) of admitted patients with renal insufficiency had renal disease documented in their discharge summaries. CONCLUSION: Many general medical inpatients (30%) have reduced kidney function at the time of admission. This study provides validation of the Modification of Diet in Renal Disease equation as a predictor of poor outcomes. Reduced renal function was associated with increased hospital LOS and mortality. Mortality rose with AKI and was explicable on the basis of the patients' age and co-morbidities. Renal insufficiency is documented infrequently in discharge summaries.

Quality of resuscitation orders in general medical patients.

BACKGROUND: Documentation of resuscitation status in hospitalized patients has relevance in the management of cardiopulmonary arrest. Its association with mortality, Length Of hospital Stay (LOS) and the patients' primary diagnosis has not been established in general medical inpatients in hospitals in Australia and New Zealand. AIM: To investigate the association of resuscitation orders with in-hospital mortality and LOS in a range of diagnoses, adjusting for severity of illness and other covariates. DESIGN: Retrospective study. METHODS: The admission notes of 1681 medical admissions to four tertiary care teaching hospitals across Australia and New Zealand were reviewed retrospectively for frequency and nature of resuscitation documentation and its association with mortality, LOS and primary diagnosis. RESULTS: Resuscitation orders were documented in 741 patients (44.7%). For the 232 patients with a Not For Resuscitation (NFR) order, the in-hospital mortality rate was higher than in control patients (14% vs. 1.2%, P<0.005). The mortality rate remained significantly higher in the NFR group after propensity matching of the controls for age and co-morbidity (14% vs. 5%, P<0.005). The death-adjusted LOS for the NFR group was also significantly higher compared to the control patients (9.7 days vs. 4.7 days, P<0.005) and this difference remained after propensity matching (9.7 days vs. 7.7 days, P<0.05). Those patients with a primary diagnosis of respiratory tract infection or cardiac failure were more likely to be documented NFR compared to those with cellulitis or urinary tract infection. CONCLUSIONS: The documentation of NFR in a patient's admission notes is associated with increased in-hospital mortality and LOS. This is only partly explicable in terms of these patients' greater age and co-morbidity.

Simple clinical score is associated with mortality and length of stay of acute general medical admissions to an Australian hospital.

BACKGROUND: In a rural Irish hospital, a simple clinical score (SCS) determined at the time of admission enabled stratification of acute general medical admissions into five categories that were associated incrementally with patients' immediate and 30-day mortality. The aim of this study was to examine the representative performance of this SCS in predicting the outcomes of general medical admissions to an Australian teaching hospital. METHODS: A retrospective chart review was undertaken of a representative sample from 480 admissions in 2007 to an urban university teaching hospital in Australia. The SCS was calculated and related to that patient's outcome in terms of mortality, length of stay, nursing home placement on discharge, the occurrence of medical emergency team call and intensive care unit transfer. These data were compared, where possible, with the outcomes reported in the Irish hospital. RESULTS: Four hundred and seventeen complete sets of data allowed calculation of the SCS. There were significant linear correlations of the SCS (divided into quintiles) and patients' in-hospital and 30-day mortality, their length of stay and their discharge to a nursing home. There was no association of the SCS and the patients' readmission rate, intensive care unit transfer rate or likelihood of a medical emergency team call. The significant trends replicated those from the Irish hospital. CONCLUSION: The SCS can predict significant outcomes for general medical admissions in an Australian hospital despite obvious differences to the hospital of its derivation. A wider study of Australasian hospitals and the performance of the SCS as a predictor of general medical admission outcomes is underway.