A pilot study on patient-related costs and factors associated with the cost of specialist palliative care in the hospital: first steps towards a patient classification system in Germany

Abstract Background Specialist palliative care in the hospital addresses a heterogeneous patient population with complex care needs. In Germany, palliative care patients are classified based on their primary diagnosis to determine reimbursement despite findings that other factors describe patient needs better. To facilitate adequate resource allocation in this setting, in Australia and in the UK important steps have been undertaken towards identifying drivers of palliative care resource use and classifying patients accordingly. We aimed to pioneer patient classification based on determinants of resource use relevant to specialist palliative care in Germany first, by calculating the patient-level cost of specialist palliative care from the hospital’s perspective, based on the recorded resource use and, subsequently, by analysing influencing factors. Methods Cross-sectional study of consecutive patients who had an episode of specialist palliative care in Munich University Hospital between 20 June and 4 August, 2016. To accurately reflect personnel intensity of specialist palliative care, aside from administrative data, we recorded actual use of all involved health professionals’ labour time at patient level. Factors influencing episode costs were assessed using generalized linear regression and LASSO variable selection. Results The study included 144 patients. Mean costs of specialist palliative care per palliative care unit episode were 6542€ (median: 5789€, SE: 715€) and 823€ (median: 702€, SE: 31€) per consultation episode. Based on multivariate models that considered both variables recorded at beginning and at the end of episode, we identified factors explaining episode cost including phase of illness, Karnofsky performance score, and type of discharge. Conclusions This study is an important step towards patient classification in specialist palliative care in Germany as it provides a feasible patient-level costing method and identifies possible starting points for classification. Application to a larger sample will allow for meaningful classification of palliative patients

Disease burden and economic impact of diagnosed non-alcoholic steatohepatitis (nash) in five european countries in 2018: A cost-of-illness analysis.

BACKGROUND AND AIMS Non-alcoholic steatohepatitis (NASH) is a chronic disease that can progress to end-stage liver disease (ESLD). A large proportion of early-stage NASH patients remain undiagnosed compared to those with advanced fibrosis, who are more likely to receive disease management interventions. This study estimated the disease burden and economic impact of diagnosed NASH in the adult population of France, Germany, Italy, Spain and the United Kingdom (UK) in 2018. METHODS The socioeconomic burden of diagnosed NASH was estimated using cost-of-illness methodology applying a prevalence approach to estimate the number of adults with NASH and the attributable economic and wellbeing costs. Given undiagnosed patients do not incur costs in the study, the probability of diagnosis is central to cost estimation. The analysis was based on literature review, databases and consultation with clinical experts, economists and patient groups. RESULTS The proportion of adult NASH patients with a diagnosis ranged from 11.9% to 12.7% across countries, which increased to 38.8% to 39.1% for advanced fibrosis (F3 to F4 compensated cirrhosis). Total economic costs were €8,548-19,546M. Of these, health system costs were €619-1,292M. Total wellbeing costs were €41,536-90,379M. The majority of the undiagnosed population (87.3% to 88.2% of total prevalence) was found to have early stage NASH which, left untreated, may progress to more resource consuming ESLD over time. CONCLUSIONS This study found the majority of economic and wellbeing costs of NASH are experienced in late disease stages. Earlier diagnosis and care of NASH patients could reduce future healthcare costs