Literature DB >> 11718461

The development of gravity models for hospital patient flows under system change: a Bayesian modelling approach.

P Congdon1.   

Abstract

This paper discusses models for the impact on patient referral flows from homes to hospitals of reconfigurations of emergency hospital services. Such system change might involve new hospital sites, or expanded bed numbers at some sites, together with possible closure of emergency units at other hospitals. In terms of a gravity model for the flows of patients, this corresponds to removing a destination or adding a new one. While retaining a gravity type approach to this problem, the relevance of supply weighting by distance within the broader accessibility concept is stressed since the independence from irrelevant alternatives property is generally inapplicable. This accessibility based approach may be implemented as a general linear model, with a Poisson outcome, and a Bayesian estimation and predictive approach is adopted. In the context of patient hospitalisations, this facilitates prediction of new patient flows following hospital reconfiguration. A UK based case study of small residential areas and hospitals in North East London and Essex is presented within the context of a review of emergency hospital siting in London.

Entities:  

Mesh:

Year:  2001        PMID: 11718461     DOI: 10.1023/a:1011894312001

Source DB:  PubMed          Journal:  Health Care Manag Sci        ISSN: 1386-9620


  5 in total

1.  Equity and access: exploring the effects of hospital location on the population served--a case study in strategic planning.

Authors:  A R Taket
Journal:  J Oper Res Soc       Date:  1989-11

2.  The role of proximity in the use of hospital emergency departments.

Authors:  G Magnusson
Journal:  Sociol Health Illn       Date:  1980-07

3.  Variation in demand for accident and emergency departments in England from 1974 to 1985.

Authors:  P C Milner; J P Nicholl; B T Williams
Journal:  J Epidemiol Community Health       Date:  1988-09       Impact factor: 3.710

4.  Attendance at accident and emergency departments: unnecessary or inappropriate?

Authors:  A Lowy; B Kohler; J Nicholl
Journal:  J Public Health Med       Date:  1994-06

5.  Distance and the decision to visit an emergency department.

Authors:  D R Ingram; D R Clarke; R A Murdie
Journal:  Soc Sci Med       Date:  1978-03       Impact factor: 4.634

  5 in total
  6 in total

1.  The Impact of Hospital Closures and Hospital and Population Characteristics on Increasing Emergency Department Volume: A Geographic Analysis.

Authors:  David C Lee; Brendan G Carr; Tony E Smith; Van C Tran; Daniel Polsky; Charles C Branas
Journal:  Popul Health Manag       Date:  2015-02-06       Impact factor: 2.459

2.  Modelling catchment areas for secondary care providers: a case study.

Authors:  Simon Jones; Jessica Wardlaw; Susan Crouch; Michelle Carolan
Journal:  Health Care Manag Sci       Date:  2011-04-01

Review 3.  Modelling the redistribution of hospital supply to achieve equity taking account of patient's behaviour.

Authors:  Mónica Duarte Oliveira; Gwyn Bevan
Journal:  Health Care Manag Sci       Date:  2006-02

4.  Impacts of Geographic Distance on Peritoneal Dialysis Utilization: Refining Models of Treatment Selection.

Authors:  Virginia Wang; Matthew L Maciejewski; Cynthia J Coffman; Linda L Sanders; Shoou-Yih Daniel Lee; Richard Hirth; Joseph Messana
Journal:  Health Serv Res       Date:  2016-04-07       Impact factor: 3.402

5.  Clinic accessibility and clinic-level predictors of the geographic variation in 2009 pandemic influenza vaccine coverage in Montreal, Canada.

Authors:  Katia M Charland; Luc de Montigny; John S Brownstein; David L Buckeridge
Journal:  Influenza Other Respir Viruses       Date:  2014-01-02       Impact factor: 4.380

6.  Tracking pregnant women displacements in Sao Paulo, Brazil: a complex systems approach to regionalization through the emergence of patterns.

Authors:  Felix Rigoli; Sergio Mascarenhas; Domingos Alves; Tiago Canelas; Geraldo Duarte
Journal:  BMC Med       Date:  2019-10-01       Impact factor: 8.775

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.