ArticleMedizinische Klinik, Intensivmedizin und Notfallmedizin2018
[Reimbursement of intensive care services in the German DRG system : Current problems and possible solutions].
Article in Medizinische Klinik, Intensivmedizin und Notfallmedizin, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- [Agency work in intensive care : Impact of temporary contract work on patient care in intermediate care and intensive care units].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2022Pooled it
- [Influence of working conditions and salary on temporary agency work for intermediate care and intensive care units : Partial results of a nationwide survey].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2023Article
- Does the disclosure of medical insurance information affect patients' willingness to adopt the diagnosis related groups system.Frontiers in public health · 2023Article
- Structure and concept of ICU rounds: the VIS-ITS survey.Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2022Article
- Observational
- [Overtreatment in intensive care medicine-recognition, designation, and avoidance : Position paper of the Ethics Section of the DIVI and the Ethics section of the DGIIN].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2021Review
- [Inpatient treatment costs, cost-driving factors and potential reimbursement problems due to epileptic seizure-related injuries and fractures].Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen · 2021Article
- [Discussion paper for a hospital financing reform in Germany from the perspective of intensive care medicine].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2020Article
- The future development of intensive care quality indicators - a methods paper.German medical science : GMS e-journal · 2020Review
- Hospitalization and Intensive Therapy at the End of Life.Deutsches Arzteblatt international · 2019Observational
- [Impact of nursing staff shortage on intensive care medicine capacity in Germany].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2019Article
- [Organ assist devices in the future : Limits and perspectives].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2018Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The reimbursement of intensive care and nursing services in the German health system is based on the diagnosis-related groups (G-DRG) system. Due to the lack of a central hospital planning, the G‑DRG system has become the most important influence on the development of the German health system. Compared to other countries, intensive care in Germany is characterized by a high number of intensive care beds, a low nurse-to-patient ratio, no official definition of the level of care, and a minimal available data set from intensive care units (ICUs). Under the given circumstances, a shortage of qualified intensive care nurses and physicians is currently the largest threat for intensive care in Germany. To address these deficiencies, we suggest the following measures: (1) Integration of ICUs into the levels of care which are currently developed for emergency centers at hospitals. (2) Mandatory collection of structured data sets from all ICUs including quality criteria. (3) A reform of intensive care and nursing reimbursement under consideration of adequate staffing in the individual ICU. (4) Actions to improve ICU staffing and qualification.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.