ABSTRACT
As a result of increasing economic constraints in the health sector of Papua New Guinea, the Department of Health embarked upon a major financial policy review program in 1986, which incorporated several studies in key areas. This paper presents the results of one component of the review, a health sector financing and expenditure study, which was undertaken for the 1986 financial year. The study found that: 1) 88% of health sector expenditure was provided by the public sector; 2) over 95% of expenditure was used for recurrent costs and there was poor utilization of overseas aid for capital projects; 3) the balance of expenditure between primary and secondary health was appropriate; 4) there were regional inequities in expenditure; and 5) a disproportionate amount of recurrent expenditure was consumed by personnel costs. The need to increase nongovernment expenditure on health was identified and further investigation of alternative sources of financing the health sector is required.
Subject(s)
Financing, Government , Health Expenditures , Health Resources , Health Services/economics , Budgets , Financing, Personal , Health Services Needs and Demand/economics , Papua New GuineaABSTRACT
The number of bed days per inpatient episode, the length of stay (LOS), is a major indicator of hospital performance and a basic measure of patients' resource consumption. Hospital reimbursement on the basis of treated cases requires a system for accurately identifying case categories. Diagnosis Related Groups (DRGs) have been proposed for this purpose. An initial study to analyze variations in length of stay and resource consumption within DRGs is presented. Regression analysis of variation in ALOS for 7 DRGs, in terms of 8-10 independent variables not included in the classification scheme itself, was done. Results indicate that 30-65% of the large intra-DRG LOS variations are explainable by indicators of case complexity and severity despite the homogeneity claimed for the DRGs. For certain DRGs, such variations are also related to admission factors. Results indicate the need for more precise patient taxonomies than the ICDA-8-based DRGs.
