5.2. Risk-adjusted total benefits paid

from SPECIAL REPORT | Alternative Reimbursement Models

5.3. Risk-adjusted average cost per day

The model for total benefits paid (global fee) had a good fit, explaining approximately 54% of the variation. The important risk factors were age, level of care, the hospital group and the pre-existing conditions listed in the table below. Gender does not have a significant impact on the total benefits paid.

Significant pre-existing conditions: total benefits paid  HIV  Bipolar mood disorder  Chronic renal disease  Diabetes mellitus type 1  Diabetes mellitus type 2  Epilepsy  Hyperlipidaemia  Hypertension  Hypothyroidism  Multiple sclerosis  Tuberculosis  Asthma  Bronchiectasis  Cardiac failure  Chronic obstructive pulmonary disorder  Parkinson's disease  Rheumatoid arthritis  Cancer

Board of Healthcare Funders Industry Technical Advisory Committee

5.2. Risk-adjusted total benefits paid

Next Article

5.3. Risk-adjusted average cost per day

More articles from this publication:

5.3. Risk-adjusted average cost per day

Figure 9: COVID-19 admissions by age and gender after trimming data

Table 1: ITAC team members

1. Introduction

9.3. ANNEXURE 3: Model Construction

9.2. ANNEXURE 2: Data Specification

Figure 17: Model result: Total benefit paid by hospital group and age

8. References

This article is from:

SPECIAL REPORT | Alternative Reimbursement Models