Using microdata as a basis for long term projections of hospital care spending: the added value of more detailed information.

ABSTRACT:

Background

Component-based projections are commonly used to predict future growth in healthcare spending. The current study aimed to compare pure component-based projections to projections using microlevel data to investigate their added value.

Methods

The microdata was used to find disease-specific time trends in the number of patients that use hospital care and in annual per patient hospital spending (APHS). Total expenditure projections were then based on APHS and hospital use per disease category combined with demographic projections. As comparator, we used projections with a composite growth term derived from total spending time trends. Furthermore, extensive uncertainty analyses were performed.

Results

Time -trends were present both in hospital care usage and in

SUBMITTER: Klein PPF 

PROVIDER: S-EPMC11921507 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature