Chris Horwood

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

Adverse inpatient events may diminish with earlier response to clinical deterioration. Observation and response charts with a tiered escalation response are recommended for use.

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.

Malnutrition and its association with readmission and death within 7 days and 8–180 days postdischarge in older patients: a prospective observational study

Objective The relationship between admission nutritional status and clinical outcomes following hospital discharge is not well established. This study investigated whether older patients’ nutritional status at admission predicts unplanned readmission or death in the very early or late periods following hospital discharge. Design, setting and participants The study prospectively recruited 297 patients ≥60 years old who were presenting to the General Medicine Department of a tertiary care hospital in Australia. Nutritional status was assessed at admission by using the Patient-Generated Subjective Global Assessment (PG-SGA) tool, and patients were classified as either nourished (PG-SGA class A) or malnourished (PG-SGA classes B and C). A multivariate logistic regression model was used to adjust for other covariates known to influence clinical outcomes and to determine whether malnutrition is a predictor for early (0–7 days) or late (8–180 days) readmission or death following discharge. Outcome measures The impact of nutritional status was measured on a combined endpoint of any readmission or death within 0–7 days and between 8 and 180 days following hospital discharge. Results Within 7 days following discharge, 29 (10.5%) patients had an unplanned readmission or death whereas an additional 124 (50.0%) patients reached this combined endpoint within 8–180 days postdischarge. Malnutrition was associated with a significantly higher risk of combined endpoint of readmissions or death both within 7 days (OR 4.57, 95% CI 1.69 to 12.37, P<0.001) and within 8–180 days (OR 1.98, 95% CI 1.19 to 3.28, P=0.007) following discharge and this risk remained significant even after adjustment for other covariates. Conclusions Malnutrition in older patients at the time of hospital admission is a significant predictor of readmission or death both in the very early and in the late periods following hospital discharge. Nutritional state should be included in future risk prediction models. Trial registration number ACTRN No. 12614000833662; Post-results.

Bariatric surgery revisions and private health insurance

OBJECTIVE To identify: 1. The percentage of bariatric procedures that are revisions; 2. What proportion of bariatric revision procedures in public hospitals are for patients whose primary weight loss procedure occurred in a private hospital; 3. The age, sex and level of socioeconomic disadvantage of patients needing revisions. METHODS An analysis of patient level admission data from the Integrated South Australian Activity Collection (ISAAC) was performed. Data were collected on all revisions for weight loss related procedures at all South Australian public and private hospitals, between 2000-2015 using the ISAAC codes for revision procedures. RESULTS 12,606 bariatric procedures occurred in hospitals; ∼27% of which represent a revision (n=3366). Of these revisions, ∼82% occurred in a private hospital (n=2771), and ∼18% occurred in a public hospital (n=595). Of the 595 revisions in a public hospital, 51% of patients had their original bariatric procedure performed in a private hospital. The majority of patients who had a revision procedure are female (≥82%) with a mean age of ∼45. Individuals from the lowest 2 IRSD quintiles were over-represented for public hospital revisions and primary bariatric procedures. CONCLUSION Further investigation is needed to identify: 1. Why 27% of bariatric procedures are revisions; 2. Why at least 51% of revisions in public hospitals are on patients whose original primary bariatric procedure was done in a private hospital; 3. The impact that revision procedures in public hospitals, particularly for originally private weight loss procedures, is having on public hospital wait times; 4. The impact of socioeconomic disadvantage on weight loss procedure outcomes.

Application of process mining to assess the data quality of routinely collected time-based performance data sourced from electronic health records by validating process conformance.

Effective and accurate use of routinely collected health data to produce Key Performance Indicator reporting is dependent on the underlying data quality. In this research, Process Mining methodology and tools were leveraged to assess the data quality of time-based Emergency Department data sourced from electronic health records. This research was done working closely with the domain experts to validate the process models. The hospital patient journey model was used to assess flow abnormalities which resulted from incorrect timestamp data used in time-based performance metrics. The research demonstrated process mining as a feasible methodology to assess data quality of time-based hospital performance metrics. The insight gained from this research enabled appropriate corrective actions to be put in place to address the data quality issues.

Improving community access to terminal phase medicines through the implementation of a ‘Core Medicines List’ in South Australian community pharmacies

Objectives Difficulties accessing medicines in the terminal phase hamper the ability of patients to die at home. The aim of this study was to identify changes in community access to medicines for managing symptoms in the terminal phase throughout South Australia (SA), following the development of a ‘Core Medicines List’ (the List) while exploring factors predictive of pharmacies carrying a broad range of useful medicines. Methods In 2015, SA community pharmacies were invited to participate in a repeat survey exploring the availability of specific medicines. Comparisons were made between 2012 and 2015. A ‘preparedness score’ was calculated for each pharmacy, scoring 1 point for each medicine held from the following 5 classes: opioid, benzodiazepine, antiemetic, anticholinergic and antipsychotic. Results The proportion of pharmacies carrying all items from the List rose from 7% in 2012 to 18% in 2015 (p=0.01). Multiple linear regression demonstrated that a monthly online newsletter subscription (p=0.04) and provision of a clinical service to aged care facilities (p=0.02) were predictors of pharmacies carrying all items on the List. Furthermore, multiple linear regression demonstrated that the provision of an afterhours service (p=0.02) and clinical services to aged care facilities (p=0.04) were predictors of pharmacies with a high ‘preparedness score’. In responding to issues with supply of medicines at end of life, respondents were more likely to contact the prescriber if aware of palliative patients (p=0.03). Conclusions These results suggest that there is value in developing and promoting a standardised list of medicines, ensuring that community palliative patients have timely access to medicines in the terminal phase.

Vitamin C deficiency in Australian hospitalized patients: an observational study: Vitamin C deficiency in Australian hospitalized patients: an observational study

Vitamin C has anti‐oxidant properties and acts as a cofactor for several enzymes. Hypovitaminosis C has been associated with bleeding, endothelial dysfunction and death. The prevalence of hypovitaminosis C is unknown in Australian hospitalised patients, and its clinical relevance is uncertain.

Similar outcomes for general medicine patients discharged on any day of the week: Any day of the week discharge outcomes

Hospital congestion is worsened by fewer patients being discharged on the weekend than on weekdays. Weekend admissions fare worse in hospital than weekday admissions. Understanding the fate of patients discharged on the weekend, or any particular weekday, may help optimise hospital discharge processes.

Factors influencing early and late readmissions in Australian hospitalised patients and investigating role of admission nutrition status as a predictor of hospital readmissions: a cohort study

Objectives Limited studies have identified predictors of early and late hospital readmissions in Australian healthcare settings. Some of these predictors may be modifiable through targeted interventions. A recent study has identified malnutrition as a predictor of readmissions in older patients but this has not been verified in a larger population. This study investigated what predictors are associated with early and late readmissions and determined whether nutrition status during index hospitalisation can be used as a modifiable predictor of unplanned hospital readmissions. Design A retrospective cohort study. Setting Two tertiary-level hospitals in Australia. Participants All medical admissions ≥18 years over a period of 1 year. Outcomes Primary objective was to determine predictors of early (0–7 days) and late (8–180 days) readmissions. Secondary objective was to determine whether nutrition status as determined by malnutrition universal screening tool (MUST) can be used to predict readmissions. Results There were 11 750 (44.8%) readmissions within 6 months, with 2897 (11%) early and 8853 (33.8%) late readmissions. MUST was completed in 16.2% patients and prevalence of malnutrition during index admission was 31%. Malnourished patients had a higher risk of both early (OR 1.39, 95% CI 1.12 to 1.73) and late readmissions (OR 1.23, 95% CI 1.06 to 128). Weekend discharges were less likely to be associated with both early (OR 0.81, 95% CI 0.74 to 0.91) and late readmissions (OR 0.91, 95% CI 0.84 to 0.97). Indigenous Australians had a higher risk of early readmissions while those living alone had a higher risk of late readmissions. Patients ≥80 years had a lower risk of early readmissions while admission to intensive care unit was associated with a lower risk of late readmissions. Conclusions Malnutrition is a strong predictor of unplanned readmissions while weekend discharges are less likely to be associated with readmissions. Targeted nutrition intervention may prevent unplanned hospital readmissions. Trial registration ANZCTRN 12617001362381; Results.