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L J Nestman

Publications and source records attributed to L J Nestman.

3 recordsLinked to original sources

The use of bed distribution and service population indexes for hospital bed allocation.

To provide an empirical base for bed reallocation within a hospital planning jurisdiction in Canada, this article proposes a population-based method to measure the distribution of acute care beds for each district and the service load for each hospital. The measure for the bed distribution (BDI) is the number of beds per 1,000 age-sex-adjusted number of residents in a district, while the service load of a hospital is measured by the number of persons being served per bed (SPI). The number of beds allocated to each district, or the number of persons served by each hospital, was estimated by applying the hospital service population model, which employs both relevance- and commitment-index methods. The method thus proposed was applied to Alberta data. It appears that both BDI and SPI measures are stable across the variation of methods or data sources, yet sensitive enough to detect changes over the years. Using these indexes, potentially over- or underbedded districts and over- or underloaded hospitals can be identified for further investigation so that possible reallocation of acute care beds among the hospitals may take place.

Adolescent↗

A hospital service population model and its application.

The concepts of hospital service population and its estimation techniques is refined and generalized from a model-building point of view, and the generalized model is applied to the Alberta, Canada, hospital system. The assumptions underlying the so-called relevance and commitment index methods are investigated. A set of computer programs is developed for estimating the service population of Alberta hospitals. The programs use census, patient origin, and hospital statistics related to costs as input, and provide resource allocation and utilization rates on an age-sex adjusted per capita basis for all Alberta general acute hospitals and hospital districts. The estimates based on relevance and commitment index methods are compared and found to be very similar, except at the extreme tail areas of the distribution.

Alberta↗