A geospatial examination of specialist care accessibility and impact on health outcomes for patients with acute traumatic spinal cord injury in New South Wales, Australia: a population record linkage study.

BACKGROUND: Timely treatment is essential for achieving optimal outcomes after traumatic spinal cord injury (TSCI), and expeditious transfer to a specialist spinal cord injury unit (SCIU) is recommended within 24 h from injury. Previous research in New South Wales (NSW) found only 57% of TSCI patients were admitted to SCIU for acute post-injury care; 73% transferred within 24 h from injury. We evaluated pre-hospital and inter-hospital transfer practices to better understand the post-injury care pathways impact on patient outcomes and highlight areas in the health service pathway that may benefit from improvement. METHODS: This record linkage study included administrative pre-hospital (Ambulance), admissions (Admitted Patients) and costs data obtained from the Centre for Health Record Linkage, NSW. All patients aged ≥16 years with incident TSCI in NSW (2013-2016) were included. We investigated impacts of geographical disparities on pre-hospital and inter-hospital transport decisions from injury location using geospatial methods. Outcomes assessed included time to SCIU, surgery and the impact of these variables on the experience of inpatient complications. RESULTS: Inclusion criteria identified 316 patients, geospatial analysis showed that over half (53%, n = 168) of all patients were injured within 60 min road travel of a SCIU, yet only 28.6% (n = 48) were directly transferred to a SCIU. Patients were more likely to experience direct transfer to a SCIU without comorbid trauma (p < 0.01) but higher ICISS (p < 0.001), cervical injury (p < 0.01), and transferred by air-ambulance (p < 0.01). Indirect transfer to SCIU was more likely with two or more additional traumatic injuries (p < 0.01) or incomplete injury (p < 0.01). Patients not admitted to SCIU at all were older (p = 0.05) with lower levels of injury (p < 0.01). Direct transfers received earlier operative intervention (median (IQR) 12.9(7.9) hours), compared with patients transferred indirectly to SCIU (median (IQR) 19.5(18.9) hours), and had lower risk of complications (OR 3.2 v 1.4, p < 0.001). Complications included pressure injury, deep vein thrombosis, urinary infection, among others. CONCLUSIONS: Getting patients with acute TSCI patients to the right place at the right time is dependent on numerous factors; some are still being triaged directly to non-trauma services which delays specialist and surgical care and increases complication risks. The higher rates of complication following delayed transfer to a SCIU should motivate health service policy makers to investigate reasons for this practice and consent to improvement strategies. More stringent adherence to recommended guidelines would prioritise direct SCIU transfer for patients injured within 60 min radius, enabling the benefits of specialised care.

Pre-existing mental disorder, clinical profile, inpatient services and costs in people hospitalised following traumatic spinal injury: a whole population record linkage study.

BACKGROUND: Risk of traumatic injury is increased in individuals with mental illness, substance use disorder and dual diagnosis (mental disorders); these conditions will pre-exist among individuals hospitalised with acute traumatic spinal injury (TSI). Although early intervention can improve outcomes for people who experience mental disorders or TSI, the incidence, management and cost of this often complex comorbid health profile is not sufficiently understood. In a whole population cohort of patients hospitalised with acute TSI, we aimed to describe the prevalence of pre-existing mental disorders and compare differences in injury epidemiology, costs and inpatient allied health service access. METHODS: Record linkage study of all hospitalised cases of TSI between June 2013 and June 2016 in New South Wales, Australia. TSI was defined by specific International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Australian Modification (ICD-10-AM) codes. Mental disorder status was considered as pre-existing where specific ICD-10-AM codes were recorded in incident admissions. RESULTS: 13 489 individuals sustained acute TSI during this study. 13.11%, 6.06% and 1.82% had pre-existing mental illness, substance use disorder and dual diagnosis, respectively. Individuals with mental disorder were older (p<0.001), more likely to have had a fall or self-harmed (p<0.001), experienced almost twice the length of stay and inpatient complications, and increased injury severity compared with individuals without mental disorder (p<0.001). CONCLUSION: Individuals hospitalised for TSI with pre-existing mental disorder have greater likelihood of increased injury severity and more complex, costly acute care admissions compared with individuals without mental disorder. Care pathway optimisation including prevention of hospital-acquired complications for people with pre-existing mental disorders hospitalised for TSI is warranted.

Case conference primary-secondary care planning at end of life can reduce the cost of hospitalisations.

BACKGROUND: To plan integrated care at end of life for people with either heart failure or lung disease, we used a case conference between the patient's general practitioner (GP), specialist services and a palliative care consultant physician. This intervention significantly reduced hospitalisations and emergency department visits. This paper reports estimates of potential savings of reduced hospitalisation through end of life case conferences in a pilot study. METHODS: We used Australian Refined Diagnosis Related Group codes to obtain data on hospitalisations and costs. The Australian health system is a federation: the national government is responsible for funding community based care, while state and territory governments fund public hospitals. There were 35 case conferences for patients with end stage heart failure or lung disease, who were patients of the public hospital system, involving 30 GPs in a regional health district. RESULTS: The annualised total cost per patient was AUD$90,060 before CC and AUD$11,841 after CC. The mean per person cost saving was AUD$41,023 ($25,274 excluding one service utilisation outlier). For every 100 patients with end of life heart failure and lung disease each year, the case conferencing intervention would save AUD$4.1 million (AUD$2.5 million excluding one service utilisation outlier). CONCLUSIONS: Multidisciplinary case conferences that promote integrated care among specialists and GPs resulted in substantial cost savings while providing care. Cost shifting between national and state or territory governments may impede implementation of this successful health service intervention. An integrated model such as ours is very relevant to initiatives to reform national health care. TRIAL REGISTRATION: Australian and New Zealand Controlled Trials Register ACTRN12613001377729 : Registered 16/12/2013.

Community-based integrated care versus hospital outpatient care for managing patients with complex type 2 diabetes: costing analysis.

Objective This study compared the cost of an integrated primary-secondary care general practitioner (GP)-based Beacon model with usual care at hospital outpatient departments (OPDs) for patients with complex type 2 diabetes. Methods A costing analysis was completed alongside a non-inferiority randomised control trial. Costs were calculated using information from accounting data and interviews with clinic managers. Two OPDs and three GP-based Beacon practices participated. In the Beacon practices, GPs with a special interest in advanced diabetes care worked with an endocrinologist and diabetes nurse educator to care for referred patients. The main outcome was incremental cost saving per patient course of treatment from a health system perspective. Uncertainty was characterised with probabilistic sensitivity analysis using Monte Carlo simulation. Results The Beacon model is cost saving: the incremental cost saving per patient was A$365 (95% confidence interval -A$901, A$55) and was cost saving in 93.7% of simulations. The key contributors to the variance in the cost saving per patient course of treatment were the mean number of patients seen per site and the number of additional presentations per course of treatment associated with the Beacon model. Conclusions Beacon clinics were less costly per patient course of treatment than usual care in hospital OPDs for equivalent clinical outcomes. Local contractual arrangements and potential variation in the operational cost structure are of significant consideration in determining the cost-efficiency of Beacon models. What is known about this topic? Despite the growing importance of achieving care quality within constrained budgets, there are few costing studies comparing clinically-equivalent hospital and community-based care models. What does this paper add? Costing analyses comparing hospital-based to GP-based health services require considerable effort and are complex. We show that GP-based Beacon clinics for patients with complex chronic disease can be less costly per patient course of treatment than usual care offered in hospital OPDs. What are the implications for practitioners? In addition to improving access and convenience for patients, transferring care from hospital to the community can reduce health system costs.

Designing an Optimum Fiscal Policy for Tobacco to Maximise the Tax Revenue, Social Savings and the Net Monetary Benefits in Sri Lanka.

BACKGROUND: Fiscal policy targeting tobacco control is identified as the most effective strategy for rapid control of tobacco use. An optimum fiscal policy to estimate the percentage taxation that will maximise the government tax revenue, social savings and the net monetary benefit has not been empirically designed before in Sri Lanka. METHODS: A model was developed using Microsoft Excel 2016, utilizing up-to-date published evidence on the cigarette sales, current fiscal policy, social cost of tobacco use, consumer response and the price elasticity of cigarettes. Univariate estimates on the expected revenue from tobacco tax, average annual social savings and the net monetary benefit were predicted for different levels of tobacco taxation. A deterministic sensitivity analysis was performed covering all possibilities. The percentage taxation maximizing the government tax revenue and the net monetary benefit were identified. RESULTS: It was estimated that a further 30% tax increase from the 2019 baseline will generate approximately LKR 3544 million per year of additional tax revenue for the government while saving LKR 28 069 million per annum as social savings. A fiscal elevation of 50% will produce identical annual tax revenue to that of 2018, while securing a social saving of more than LKR 47 600 million per annum. The maximum net monetary benefit is achievable at an overnight tax increase of 90% from the baseline, however with a short-term compromise in tax revenue. CONCLUSION: The well-defined thresholds take tobacco taxation advocacy in Sri Lanka a step forward and will assist the government in taking an informed decision on its fiscal policy for cigarettes.

Gap in funding for specialist hospitals treating patients with traumatic spinal cord injury under an activity-based funding model in New South Wales, Australia.

Objective The aim of this study was to estimate the difference between treatment costs in acute care settings and the level of funding public hospitals would receive under the activity-based funding model. Methods Patients aged ≥16 years who had sustained an incident traumatic spinal cord injury (TSCI) between June 2013 and June 2016 in New South Wales were included in the study. Patients were identified from record-linked health data. Costs were estimated using two approaches: (1) using District Network Return (DNR) data; and (2) based on national weighted activity units (NWAU) assigned to activity-based funding activity. The funding gap in acute care treatment costs for TSCI patients was determined as the difference in cost estimates between the two approaches. Results Over the study period, 534 patients sustained an acute incident TSCI, accounting for 811 acute care hospital separations within index episodes. The total acute care treatment cost was estimated at A$40.5 million and A$29.9 million using the DNR- and NWAU-based methods respectively. The funding gap in total costs was greatest for the specialist spinal cord injury unit (SCIU) colocated with a major trauma service (MTS), at A$4.4 million over the study period. Conclusions The findings of this study suggest a substantial gap in funding for resource-intensive patients with TSCI in specialist hospitals under current DRG-based funding methods. What is known about the topic? DRG-based funding methods underestimate the treatment costs at the hospital level for patients with complex resource-intensive needs. This underestimation of true direct costs can lead to under-resourcing of those hospitals providing specialist services. What does this paper add? This study provides evidence of a difference between true direct costs in acute care settings and the level of funding hospitals would receive if funded according to the National Efficient Price and NWAU for patients with TSCI. The findings provide evidence of a shortfall in the casemix funding to public hospitals under the activity-based funding for resource-intensive care, such as patients with TSCI. Specifically, depending on the classification system, the principal referral hospitals, the SCIU colocated with an MTS and stand-alone SCIU were underfunded, whereas other non-specialist hospitals were overfunded for the acute care treatment of patients with TSCI. What are the implications for practitioners? Although health care financing mechanisms may vary internationally, the results of this study are applicable to other hospital payment systems based on diagnosis-related groups that describe patients of similar clinical characteristics and resource use. Such evidence is believed to be useful in understanding the adequacy of hospital payments and informing payment reform efforts. These findings may have service redesign policy implications and provide evidence for additional loadings for specialist hospitals treating low-volume, resource-intensive patients.

Identifying Predictors of Higher Acute Care Costs for Patients With Traumatic Spinal Cord Injury and Modeling Acute Care Pathway Redesign: A Record Linkage Study.

STUDY DESIGN: Record linkage study using healthcare utilization and costs data. OBJECTIVE: To identify predictors of higher acute-care treatment costs and length of stay for patients with traumatic spinal cord injury (TSCI). SUMMARY OF BACKGROUND DATA: There are few current or population-based estimates of acute hospitalization costs, length of stay, and other outcomes for people with TSCI, on which to base future planning for specialist SCI health care services. METHODS: Record linkage study using healthcare utilization and costs data; all patients aged more than or equal to 16 years with incident TSCI in the Australian state of New South Wales (June 2013-June 2016). Generalized Linear Model regression to identify predictors of higher acute care treatment costs for patients with TSCI. Scenario analysis quantified the proportionate cost impacts of patient pathway modification. RESULTS: Five hundred thirty-four incident cases of TSCI (74% male). Total cost of all acute index episodes approximately AUD$40.5 (95% confidence interval [CI] ±4.5) million; median cost per patient was AUD$45,473 (Interquartile Range: $15,535-$94,612). Patient pathways varied; acute care was less costly for patients admitted directly to a specialist spinal cord injury unit (SCIU) compared with indirect transfer within 24 hours. Over half (53%) of all patients experienced at least one complication during acute admission; their care was less costly if they had been admitted directly to SCIU. Scenario analysis demonstrated that a reduction of indirect transfers to SCIU by 10% yielded overall cost savings of AUD$3.1 million; an average per patient saving of AUD$5,861. CONCLUSION: Direct transfer to SCIU for patients with acute TSCI resulted in lower treatment costs, shorter length of stay, and less costly complications. Modeling showed that optimizing patient-care pathways can result in significant acute-care cost savings. Reducing potentially preventable complications would further reduce costs and improve longer-term patient outcomes. LEVEL OF EVIDENCE: 3.

The Nature and Cost of Readmissions after Work-Related Traumatic Spinal Injuries in New South Wales, Australia.

This study aimed to measure the subsequent health and health service cost burden of a cohort of workers hospitalised after sustaining work-related traumatic spinal injuries (TSI) across New South Wales, Australia. A record-linkage study (June 2013-June 2016) of hospitalised cases of work-related spinal injury (ICD10-AM code U73.0 or workers compensation) was conducted. Of the 824 individuals injured during this time, 740 had sufficient follow-up data to analyse readmissions ≤90 days post-acute hospital discharge. Individuals with TSI were predominantly male (86.2%), mean age 46.6 years. Around 8% (n = 61) experienced 119 unplanned readmission episodes within 28 days from discharge, over half with the primary diagnosis being for care involving rehabilitation. Other readmissions involved device complications/infections (7.5%), genitourinary or respiratory infections (10%) or mental health needs (4.3%). The mean ± SD readmission cost was $6946 ± $14,532 per patient. Unplanned readmissions shortly post-discharge for TSI indicate unresolved issues within acute-care, or poor support services organisation in discharge planning. This study offers evidence of unmet needs after acute TSI and can assist trauma care-coordinators' comprehensive assessments of these patients prior to discharge. Improved quantification of the ongoing personal and health service after work-related injury is a vital part of the information needed to improve recovery after major work-related trauma.

The Epidemiology, Cost, and Occupational Context of Spinal Injuries Sustained While 'Working for Income' in NSW: A Record-Linkage Study.

This study aimed to describe the epidemiological characteristics, the occupational context, and the cost of hospitalised work-related traumatic spinal injuries, across New South Wales, Australia. A record-linkage study of hospitalised cases of work-related spinal injury (ICD10-AM code U73.0 or workers compensation) was conducted. Study period 2013⁻2016. Eight hundred and twenty-four individuals sustained work-related spinal injuries; 86.2% of whom were males and had a mean age of 46.6 years. Falls led to 50% of the injuries; predominantly falls from building/structures, ladders or between levels. Falls occurred predominantly in the construction industry (78%). Transport crashes caused 31% of injuries and 24% in heavy vehicles. Half of all the transport injuries occurred 'off road'. The external cause was coded as 'non-specific work activity' in 44.5% of cases; missing in 11.5%. Acute care bed days numbered at 13,302; total cost $19,500,000. High numbers of work-related spinal injuries occurred in the construction industry; particularly falling from a height. Off-road transport-related injuries were significant and likely unaddressed by 'on-road' prevention policies. Medical record documentation was insufficient in injury mechanism and context specificity. Workers in the construction industry or those using vehicles off-road were at high risk of spinal injury, suggesting inefficient systems approaches or ineffective prevention policies. Reducing the use of non-specific external cause codes in patients' medical records would improve the measurement of policy effectiveness.

Assessing the impact of care pathways on potentially preventable complications and costs for spinal trauma patients: protocol for a data linkage study using cohort study and administrative data.

INTRODUCTION: Traumatic spinal cord injuries have significant consequences both for the injured individual and the healthcare system, usually resulting in lifelong disability. Evidence has shown that timely medical and surgical interventions can lead to better patient outcomes with implicit cost savings. Potentially preventable secondary complications are therefore indicators of the effectiveness of acute care following traumatic injury. The extent to which policy and clinical variation within the healthcare service impact on outcomes and acute care costs for patients with traumatic spinal cord injury (TSCI) in Australia is not well described. METHODS AND ANALYSIS: A comprehensive data set will be formed using record linkage to combine patient health and administrative records from seven minimum data collections (including costs), with an existing data set of patients with acute TSCI (Access to Care Study), for the time period June 2013 to June 2016. This person-level data set will be analysed to estimate the acute care treatment costs of TSCI in New South Wales, extrapolated nationally. Subgroup analyses will describe the associated costs of secondary complications and regression analysis will identify drivers of higher treatment costs. Mapping patient care and health service pathways of these patients will enable measurement of deviations from best practice care standards and cost-effectiveness analyses of the different pathways. ETHICS AND DISSEMINATION: Ethics approval has been obtained from the New South Wales Population and Health Services Research Ethics Committee. Dissemination strategies include peer-reviewed publications in scientific journals and conference presentations to enable translation of study findings to clinical and policy audiences.

Impact of a general practitioner-led integrated model of care on the cost of potentially preventable diabetes-related hospitalisations.

AIM: To estimate potential savings for Australia's health care system through the implementation of an innovative Beacon model of care for patients with complex diabetes. METHODS: A prospective controlled trial was conducted comparing a multidisciplinary, community-based, integrated primary-secondary care diabetes service with usual care at a hospital diabetes outpatient clinic. We extracted patient hospitalisation data from the Queensland Hospital Admitted Patient Data Collection and used Australian Refined Diagnosis Related Groups to assign costs to potentially preventable hospitalisations for diabetes. RESULTS: 327 patients with complex diabetes referred by their general practitioner for specialist outpatient care were included in the analysis. The integrated model of care had potential for national cost savings of $132.5 million per year. CONCLUSIONS: The differences in hospitalisations attributable to better integrated primary/secondary care can yield large cost savings. Models such as the Beacon are highly relevant to current national health care reform initiatives to improve the continuity and efficiency of care for those with complex chronic disease in primary care.