[A study based on national DRG data to evaluate work load and practice relating to cancer patients in not-for-profit hospitals]
- PMID: 10740085
[A study based on national DRG data to evaluate work load and practice relating to cancer patients in not-for-profit hospitals]
Abstract
Background: In France there is no reliable information describing the organisation of hospital care for patients with cancer. The present study attempts to clarify this issue taking advantage of an information source that has up to now been unused, namely the national PMSI (Information System Medical program) data base.
Methods: A quantitative study has been carried out regarding cancer management in France using information filed with the PMSI which compiles data related to hospital admissions in all institutions with more than 100 beds and subject to a defined global budget. The "cancer" component of hospital activity was extracted using a specific algorithm which utilized the diagnostic and intervention codes included in the admission summaries. By using the unit of activity as defined by the ISA (Activity Synthetic Index) and the scale of relative cost according to the GHM (Homogeneous Group of patients) it was possible to analyse the information in terms of a balance sheet.
Results: The study provided information regarding the costs and methods of management, including therapeutic strategies, for each type of hospital establishment. It is shown that with one death out of six, cancer covers a quarter of all hospital stays, and one sixth of annual hospital expenses. This accounts for 16.2% of ISA ie approximately 29 billion francs (4.6 billion dollars) for the public and semipublic sectors. Surgery, which accounted for 32% of expenditures, appeared to be the most expensive intervention, ahead of chemotherapy (16.3%) and radiotherapy (9.1%). Each type of hospital organisation (university, cancer centre, district hospital) had their own relative figures.
Conclusion: Through this study the current situation regarding cancer care in hospital has been documented. It has also demonstrated the value of the PMSI data base as a source of information for large scale quantitative studies of health care economics. However, the PMSI does not yet provide details regarding infrastructure or succession of hospital stay. Ultimately, this analysis does not provide any information on the quality or efficacy of care but does define a typological system for health care organisations which could provide information on distribution of resources.
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