Literature DB >> 6547418

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

K S Bay, L J Nestman.   

Abstract

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.

Entities:  

Mesh:

Year:  1984        PMID: 6547418      PMCID: PMC1068798     

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  7 in total

1.  Self-sufficiency in a regional hospital system.

Authors:  L C MacLean; K L Weldon
Journal:  Health Serv Res       Date:  1977       Impact factor: 3.402

2.  A mathematical model for deriving hospital service areas.

Authors:  J Meade
Journal:  Int J Health Serv       Date:  1974       Impact factor: 1.663

3.  Identifying integrated regions for health care delivery.

Authors:  J D Taliaferro; W W Remmers
Journal:  Health Serv Rep       Date:  1973-04

4.  Small area variations in health care delivery.

Authors:  J Wennberg
Journal:  Science       Date:  1973-12-14       Impact factor: 47.728

5.  A hospital service population model and its application.

Authors:  K S Bay; L J Nestman
Journal:  Int J Health Serv       Date:  1980       Impact factor: 1.663

6.  Planning can be based on patient travel.

Authors:  D L Drosness; J W Lubin
Journal:  Mod Hosp       Date:  1966-04

7.  Measuring community hospital service in Michigan.

Authors:  J R Griffith; J D Restuccia; P J Tedeschi; P A Wilson; H S Zuckerman
Journal:  Health Serv Res       Date:  1981       Impact factor: 3.402

  7 in total
  4 in total

1.  Choice of models for the analysis and forecasting of hospital beds.

Authors:  Mark Mackay; Michael Lee
Journal:  Health Care Manag Sci       Date:  2005-08

2.  Utilization of hospital services by cardiovascular patients, Alberta, Canada.

Authors:  K S Bay; M Maher; S J Lee
Journal:  Am J Public Health       Date:  1989-06       Impact factor: 9.308

3.  Designing and validating a measuring tool for the factors affecting the distribution of hospitals' intensive care beds in Iran.

Authors:  Nahid Farrokhyar; Khalil Alimohammadzadeh; Ali Maher; Seyed Mojtaba Hosseini; Mohammadkarim Bahadori
Journal:  Med J Islam Repub Iran       Date:  2019-08-05

4.  Regional health care planning: a methodology to cluster facilities using community utilization patterns.

Authors:  Paul L Delamater; Ashton M Shortridge; Joseph P Messina
Journal:  BMC Health Serv Res       Date:  2013-08-22       Impact factor: 2.655

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.