Prevalence, characteristics and risk factors of frequently readmitted patients to an internal medicine service.

BACKGROUND: Unplanned hospital readmissions (HRA), which have been used as key performance index of healthcare quality, are becoming more prevalent. They are associated with substantial financial burden to hospital systems and considerable impacts on patients' physical and mental health. Patients with frequent readmissions are not well studied. AIMS: To determine the prevalence, characteristics and risk factors associated with frequent readmissions (FRA) to an internal medicine service at a tertiary public hospital. METHOD: A retrospective observational study was conducted at an internal medicine service in a tertiary teaching hospital between 1 January 2010 and 30 June 2016. FRA was defined as four or more readmissions within 12 months of discharge from the index admission (IA). Demographic and clinical characteristics and potential risk factors were evaluated. RESULTS: A total of 50 515 patients was included; 1657 (3.3%) had FRA and were associated with nearly 2.5 times higher in 12-month mortality rates. They were older, had higher rates of indigenous Australians (3.2%), more disadvantaged status (index of relative socio-economic disadvantage decile of 5.3) and more comorbidities (mean Charlson comorbidity index 1.4) in comparison, to infrequent readmission group. The mean length of hospital stay during the IA was 6 days for FRA group (21.4% staying more than 7 days) with higher incidence of discharge against medical advice (2.0% higher). Intensive care unit admission rate was 6.6% for FRA group compared with 3.9% for infrequent readmission group. Multivariate analysis showed mental disease and disorders, neoplastic, alcohol/drug use and alcohol/drug-induced organic mental disorders are associated with FRA. CONCLUSION: The risk factors associated with FRA were older age, indigenous status, being socially disadvantaged, having higher comorbidities and discharging against medical advice. Conditions that lead to FRA were mental disorders, alcohol/drug use and alcohol/drug-induced organic mental disorders and neoplastic disorders.

Recent trends in the management of pelvic organ prolapse in Australia and New Zealand.

OBJECTIVE: To compare current practice in the management of female pelvic organ prolapse in Australia and New Zealand with that in 2007, and assess the impact on practice of the withdrawal of Prolift® and Prosima® mesh kits in 2015. MATERIALS AND METHODS: In early 2015, two invitations to participate in a survey, including a link to Surveymonkey, were emailed to 2506 Royal Australian and New Zealand College of Obstetricians and Gynaecologists (RANZCOG) trainees and fellows. The online survey closely resembled a printed survey that was posted to RANZCOG trainees and fellows in 2007 and had additional questions relating to the impact of withdrawal of Prolift® and Prosima® products. RESULTS: Four-hundred-and-three doctors participated, giving a response rate of 16%. Native tissue repair was the procedure of choice for primary and recurrent prolapse of the anterior and posterior vaginal wall. An implant was used to treat 45% of anterior recurrences and 25% of posterior recurrences. Vaginal hysterectomy and repair were the procedures of choice for uterovaginal prolapse. Sacrospinous hysteropexy was the uterine preservation procedure of choice, preferred by 41%. For post-hysterectomy vault prolapse, sacrospinous colpopexy and vaginal repair was preferred by 65% of respondents. Between 2007 and 2015, there was a substantial decrease in respondents' usage of implants across all indications except for midurethral slings and sacrocolpo/hysteropexy. Forty-two percent of respondents changed their practice as a result of Prolift® and Prosima® being withdrawn. CONCLUSION: There is a trend toward increasing use of various native tissue prolapse repair procedures and midurethral slings, and less utilisation of transvaginal mesh for prolapse.

The relationship between in-hospital location and outcomes of care in patients diagnosed with dementia and/or delirium diagnoses: analysis of patient journey.

BACKGROUND: The discrepancy between the number of admissions and the allocation of hospital beds means that many patients admitted to hospital can be placed in units or wards other than that which specialise in the patient's primary health issue (home-ward). These patients are called 'outlier' patients. Risk factors and health system outcomes of hospital care for 'outlier' patients diagnosed with dementia and/or delirium are unknown. Therefore, the aim of this research was to examine patient journeys of people with dementia and/or delirium diagnoses, to identify risk factors for 'inlier' or 'outlier' status and patient or health system outcomes (consequences) of this status. METHODS: A retrospective, descriptive study compared patients who had dementia and/or delirium according to the proportion of time spent on the home ward i.e. 'inliers' or 'outliers'. Data from the patient journey database at Flinders Medical Centre (FMC), a public hospital in South Australia from 2007 and 2014 were extracted and analysed. The analysis was carried out on the patient journeys of people with a dementia and/or delirium diagnosis. RESULTS: When 6367 inpatient journeys with dementia and/or delirium within FMC were examined, the Emergency Department (ED) Length of Stay (LOS) after being admitted as inpatient was prolonged for 'outlier' patients compared to 'inlier' patients (OR: 1.068, 95% CI: 1.057-1.079, p = 0.000). However, the inpatient LOS for'outlier' patients was only marginally shorter than that of the 'inlier' patients (OR: 0.998, 95% CI: 0.998-0.998, p = 0.000). The chances of dying within 48 h of admission increased for 'outlier' patients (OR: 1.973, 95% CI: 1.158-3.359, p = 0.012) and their Charlson co-morbidity Index was higher (OR: 1.059, 95% CI: 1.021-1.10, p = 0.002). Completion of discharge summaries within 2 days post-discharge for 'outlier' patients was compromised (OR: 1.754, 95% CI: 1.492-2.061, p = 0.000).Additionally, 'outlier' patients were more likely to be discharged to another hospital for other care types not offered at FMC (OR: 1.931, 95% CI: 1.559-2.391, p = 0.000). CONCLUSION: An examination of the patient journeys at FMC has determined that the health system outcomes for patients with dementia and/or delirium who are admitted outside of their home-ward are affected by in-hospital location despite the homogenous nature of the study population.

The efficient price: an opportunity for funding reform.

OBJECTIVE: Proposed Australian healthcare reforms describe a move towards partial Commonwealth funding of public hospitals, whereby hospitals will be paid an 'efficient price' for each separation, incorporating both the costs and benefits of services. This paper describes a potential approach to setting the efficient price using risk adjusted cost-effectiveness (RAC-E) analysis. METHODS: RAC-E analysis uses a decision analytic framework to estimate lifetime costs and survival for individual patients, which are standardised by comparing observed and expected values. Analysis of standardised costs and effects at different hospitals identifies efficient hospitals, from which efficient prices can be defined. RESULTS: A RAC-E analysis of services for stroke patients at the four main public hospitals in South Australia demonstrates the need to account for costs and benefits in identifying efficient hospitals. The hospital with the best patient outcomes incurred additional costs relative to less effective hospitals. If an investment of AU$14760 to gain an additional life year in stroke patients is deemed to be a cost-effective use of resources, then the most effective hospital is also the most efficient hospital. CONCLUSIONS: The applied RAC-E analysis demonstrates a framework for comparing the economic efficiency of care provided at different hospitals, which provides a basis for defining the efficient price and appropriate funding incentives to achieve better patient outcomes.

Hospital admissions from residential aged care facilities to a major public hospital in South Australia (1999-2005).

AIM: To describe admissions patterns of residential aged care facility (RACF) residents admitted to a major public hospital. DESIGN, SETTING: Retrospective longitudinal study linking hospital admissions and the Department of Health and Ageing RACF provider data from July 1999 to June 2005. PARTICIPANTS: All permanent residents of aged care facilities in South Australia admitted to a single public hospital. MAIN OUTCOME MEASURES: Description of primary diagnoses and trends. RESULTS: There were 3310 admissions from 147 RACFs across South Australia. The most frequent primary diagnoses were fractured femur/pelvis, pneumonia and ischaemic heart disease. Two diagnoses increased significantly with an 11% annual increase for infections and a 5% increase for femur fractures. CONCLUSION: Admissions from RACFs to a major South Australian public hospital are increasing primarily because of admissions for femur fractures and infections in high care. These conditions could be targeted for interventions to reduce hospital admissions.

Routine use of administrative data for safety and quality purposes--hospital mortality.

Worldwide, current practice is to report hospital mortality using the hospital standardised mortality ratio (HSMR). An HSMR is generated by comparing an indirectly standardised expected mortality rate against a hospital's observed mortality rate. A hospital's HSMR can be compared with the overall outcomes for all hospitals in a population, or with peer hospitals. HSMRs should be used as screening tools that alert institutions to the need for further investigation, rather than as definitive measures of the quality of care provided by individual hospitals. HSMRs are computed from existing hospital administrative data sources, which are fit for such a purpose. The addition of clinical or physiological data does not, at present, add to the discriminative powers of the risk adjustment models used to adjust HSMR values for differences in hospitals' casemixes. There has been concern that HSMRs may be too variable over time for individual values to be interpretable. A study of HSMR outcomes in Australian hospitals confirmed earlier reports of the stability of the measure. Considerable progress has been made with developing Australian HSMRs for use as routine measures to improve the safety and quality of Australian hospital care.