ArticleCost effectiveness and resource allocation : C/E2018
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.
Article in Cost effectiveness and resource allocation : C/E, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- The impact of the COVID-19 pandemic on processes, resource use and cost in palliative care.BMC palliative care · 2023Article
- Assessing the Costs of Home Palliative Care in Italy: Results for a Demetra Multicentre Study.Healthcare (Basel, Switzerland) · 2022Article
- Cost-saving prediction model of transfer to palliative care for terminal cancer patients in a Japanese general hospital.Journal of market access & health policy · 2022Article
- Impact, challenges and limits of inpatient palliative care consultations - perspectives of requesting and conducting physicians.BMC health services research · 2020Article
- Critique of the Peaceful End-of-Life Theory Using Meleis' 2012 Approach.Iranian journal of nursing and midwifery researchReview
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Authors and funding
5 authors.
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Abstract
backgroundSpecialist 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.
methodsCross-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.
resultsThe 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.
conclusionsThis 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.
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