Hospital financing of ischaemic stroke: determinants of funding and usefulness of DRG subcategories based on severity of illness.

BACKGROUND: Several Western and Arab countries, as well as over 30 States in the US are using the "All-Patient Refined Diagnosis-Related Groups" (APR-DRGs) with four severity-of-illness (SOI) subcategories as a model for hospital funding. The aim of this study is to verify whether this is an adequate model for funding stroke hospital admissions, and to explore which risk factors and complications may influence the amount of funding. METHODS: A bottom-up analysis of 2496 ischaemic stroke admissions in Belgium compares detailed in-hospital resource use (including length of stay, imaging, lab tests, visits and drugs) per SOI category and calculates total hospitalisation costs. A second analysis examines the relationship between the type and location of the index stroke, medical risk factors, patient characteristics, comorbidities and in-hospital complications on the one hand, and the funding level received by the hospital on the other hand. This dataset included 2513 hospitalisations reporting on 35,195 secondary diagnosis codes, all medically coded with the International Classification of Disease (ICD-9). RESULTS: Total costs per admission increased by SOI (€3710-€16,735), with severe patients costing proportionally more in bed days (86%), and milder patients costing more in medical imaging (24%). In all resource categories (bed days, medications, visits and imaging and laboratory tests), the absolute utilisation rate was higher among severe patients, but also showed more variability. SOI 1-2 was associated with vague, non-specific stroke-related ICD-9 codes as primary diagnosis (71-81% of hospitalisations). 24% hospitalisations had, in addition to the primary diagnosis, other stroke-related codes as secondary diagnoses. Presence of lung infections, intracranial bleeding, severe kidney disease, and do-not-resuscitate status were each associated with extreme SOI (p < 0.0001). CONCLUSIONS: APR-DRG with SOI subclassification is a useful funding model as it clusters stroke patients in homogenous groups in terms of resource use. The data on medical care utilisation can be used with unit costs from other countries with similar healthcare set-ups to 1) assess stroke-related hospital funding versus actual costs; 2) inform economic models on stroke prevention and treatment. The data on diagnosis codes can be used to 3) understand which factors influence hospital funding; 4) raise awareness about medical coding practices.

Incidence of Torsade de Pointes in a tertiary hospital population.

BACKGROUND: Multiple risk factors play a role in the development of QTc-prolongation and Torsade de Pointes (TdP). Cases of TdP are underreported and data on the incidence of TdP is scarce. The aim of this study was to investigate the incidence of TdP in a Belgian university hospital and describe the characteristics of TdP-cases using a risk score. METHODS: All cases from 2011 till 2013 coded with the ICD-9 code 427.1 in the University Hospitals of Leuven were selected. The medical files were reviewed and demographical, medical, medication and electrocardiographic data were collected. We focused on TdP-cases that were probably caused by the acquired long QT-syndrome. The RISQ-PATH score was used to quantify the risk in these cases (≥10 points as high risk for QTc-prolongation/TdP). RESULTS: Over three years, 41 TdP-cases were identified of which 19 cases were secondary to the acquired long QT-syndrome (52.6% females, mean age of 74±12years). This corresponds with an incidence of 0.16‰/year in a hospital population. Most of the patients (N=17) were treated with at least one QTc-prolonging drug (most frequently amiodarone, sotalol and furosemide) of whom 12 patients with ≥1 QTc-prolonging drug of list 1 of CredibleMeds. Fifteen patients had an electrocardiogram in a 24-hours interval before the TdP with a prolonged QTc-interval (≥450/470ms). All the patients had a RISQ-PATH score≥10. CONCLUSIONS: Although the incidence of 0.16‰/year might seem low, this means that approximately 173 possibly lethal TdP-cases can be expected in Belgian hospitals each year. All TdP-cases were associated with a high RISQ-PATH score.

Cost of hospitalization for cerebrovascular disorders in Belgium.

BACKGROUND: There is only scarce information on the incidence and costs of stroke in Belgium. Knowledge of these figures permits targeted allocation of resources and aids cost efficacy estimates. METHODS: We analysed a nationwide administrative database used for reimbursement of hospitals in Belgium. This database allows analysis of the rate of all hospital admissions for TIA, acute ischemic stroke, intracranial hemorrhage and carotid surgery or angioplasty. We compared the costs of hospitalization for stroke and related disorders with the costs of hospitalization for coronary artery disease. RESULTS: There were 32970 admissions for stroke related disorders in 2007 at a cost of 191.6 million EUROS. There was a decline of 4.7% of the rate of hospitalization for stroke and associated disorders over the period 2002-2007. Despite this decline the total costs did not diminish substantially. In 2007 stroke and related disorders accounted for 2.0% of all Belgian hospitalizations, whereas coronary artery disease hospitalization accounted for 4.4%. The length of stay was longer for stroke and associated disorders. The average cost of hospitalizations in 2007 for stroke related disorders was 6188 EURO and the average cost of coronary artery related disorders was 5026 EURO. CONCLUSION: The cost of hospitalization for stroke and related disorders is high. Although coronary artery disease is more frequent and has a larger impact on the health care expenditures, the average cost per hospitalization is higher for stroke and related diseases. This is mainly due to the longer hospitalization duration for stroke.