PubMed Health⌕ Search

PubMed · 10105940

Rural hospitals under PPS: a five-year study.

Abstract

This research examines the impact of prospective payment (PPS) on the financial performance of Kansas hospitals, which are predominantly rural. Financial ratios are presented and regressed on bed size and year. The data suggest that bed size has the strongest effect on financial viability. There are indications of a delayed effect of PPS on the rural, smallest hospitals (fewer than 25 beds), suggesting that non-operating sources of revenue (local property tax mill levies) are being used to subsidize them in the short term. Small hospitals appear to be delaying all capital and long-term costs to survive. The research suggests that the effect of PPS may be long term.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

R G Davis, T C Zeddies, M K Zimmerman, R A McLean. 1990. Rural hospitals under PPS: a five-year study.. https://doi.org/10.1111/j.1748-0361.1990.tb00668.x

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Probability estimation when some observations are grouped.

This paper considers the use of additional questions for decreasing survey non-response rates and an approach for estimating a probability based on the results obtained. In a survey, the respondents are asked to answer an original question and follow-up questions, where the answers for the follow-up questions are grouped answers for the original question. For example, respondents are asked to provide an exact number of incidents, but in cases of 'Do not know' or 'Refuse' responses, they are subsequently asked to pick an answer from a less specific categorical scale. The new estimator obtains smaller variance asymptotically and does not depend on a distribution family. This method is applied to income questions in a survey regarding injury prevention and behaviours. Another application is survey data on intimate partner violence, where some amendments were applied for incorporating post-stratification weights and for using non-random grouping. For additional illustration, an example of parameter estimation on artificially generated data is presented.

Data Collection↗