Literature DB >> 17072824

Estimating the costs for a group of geriatric patients using the Coxian phase-type distribution.

Adele H Marshall1, Barry Shaw, Sally I McClean.   

Abstract

The length of stay in hospital of geriatric patients may be modelled using the Coxian phase-type distribution. This paper examines previous methods which have been used to model health-care costs and presents a new methodology to estimate the costs for a cohort of patients for their duration of stay in hospital, assuming there are no further admissions. The model, applied to 1392 patients admitted into the geriatric ward of a local hospital in Northern Ireland, between 2002 and 2003, should be beneficial to hospital managers, as future decisions and policy changes could be tested on the model to investigate their influence on costs before the decisions were carried out on a real ward. (c) 2006 John Wiley & Sons, Ltd.

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Year:  2007        PMID: 17072824     DOI: 10.1002/sim.2728

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  4 in total

Review 1.  Review of statistical methods for analysing healthcare resources and costs.

Authors:  Borislava Mihaylova; Andrew Briggs; Anthony O'Hagan; Simon G Thompson
Journal:  Health Econ       Date:  2010-08-27       Impact factor: 3.046

2.  Understanding Dynamic Status Change of Hospital Stay and Cost Accumulation via Combining Continuous and Finitely Jumped Processes.

Authors:  Yanqiao Zheng; Xiaobing Zhao; Xiaoqi Zhang
Journal:  Comput Math Methods Med       Date:  2018-06-10       Impact factor: 2.238

3.  Prediction of out-of-pocket health expenditures in Rwanda using machine learning techniques.

Authors:  Roger Muremyi; Dominique Haughton; Ignace Kabano; François Niragire
Journal:  Pan Afr Med J       Date:  2020-12-21

4.  Feature Selection for Health Care Costs Prediction Using Weighted Evidential Regression.

Authors:  Belisario Panay; Nelson Baloian; José A Pino; Sergio Peñafiel; Horacio Sanson; Nicolas Bersano
Journal:  Sensors (Basel)       Date:  2020-08-06       Impact factor: 3.576

  4 in total

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