Cargando…

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

The Coxian phase-type models and the joint models of longitudinal and event time have been extensively used in the studies of medical outcome data. Coxian phase-type models have the finite-jump property while the joint models usually assume a continuous variation. The gap between continuity and disc...

Descripción completa

Detalles Bibliográficos
Autores principales: Zheng, Yanqiao, Zhao, Xiaobing, Zhang, Xiaoqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015722/
https://www.ncbi.nlm.nih.gov/pubmed/29983729
http://dx.doi.org/10.1155/2018/6367243
_version_ 1783334460283944960
author Zheng, Yanqiao
Zhao, Xiaobing
Zhang, Xiaoqi
author_facet Zheng, Yanqiao
Zhao, Xiaobing
Zhang, Xiaoqi
author_sort Zheng, Yanqiao
collection PubMed
description The Coxian phase-type models and the joint models of longitudinal and event time have been extensively used in the studies of medical outcome data. Coxian phase-type models have the finite-jump property while the joint models usually assume a continuous variation. The gap between continuity and discreteness makes the two models rarely used together. In this paper, a partition-based approach is proposed to jointly model the charge accumulation process and the time to discharge. The key construction of our new approach is a set of partition cells with their boundaries determined by a family of differential equations. Using the cells, our new approach makes it possible to incorporate finite jumps induced by a Coxian phase-type model into the charge accumulation process, therefore taking advantage of both the Coxian phase-type models and joint models. As a benefit, a couple of measures of the “cost” of staying in each medical stage (identified with phases of a Coxian phase-type model) are derived, which cannot be approached without considering the joint models and the Coxian phase-type models together. A two-step procedure is provided to generate consistent estimation of model parameters, which is applied to a subsample drawn from a well-known medical cost database.
format Online
Article
Text
id pubmed-6015722
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-60157222018-07-08 Understanding Dynamic Status Change of Hospital Stay and Cost Accumulation via Combining Continuous and Finitely Jumped Processes Zheng, Yanqiao Zhao, Xiaobing Zhang, Xiaoqi Comput Math Methods Med Research Article The Coxian phase-type models and the joint models of longitudinal and event time have been extensively used in the studies of medical outcome data. Coxian phase-type models have the finite-jump property while the joint models usually assume a continuous variation. The gap between continuity and discreteness makes the two models rarely used together. In this paper, a partition-based approach is proposed to jointly model the charge accumulation process and the time to discharge. The key construction of our new approach is a set of partition cells with their boundaries determined by a family of differential equations. Using the cells, our new approach makes it possible to incorporate finite jumps induced by a Coxian phase-type model into the charge accumulation process, therefore taking advantage of both the Coxian phase-type models and joint models. As a benefit, a couple of measures of the “cost” of staying in each medical stage (identified with phases of a Coxian phase-type model) are derived, which cannot be approached without considering the joint models and the Coxian phase-type models together. A two-step procedure is provided to generate consistent estimation of model parameters, which is applied to a subsample drawn from a well-known medical cost database. Hindawi 2018-06-10 /pmc/articles/PMC6015722/ /pubmed/29983729 http://dx.doi.org/10.1155/2018/6367243 Text en Copyright © 2018 Yanqiao Zheng et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zheng, Yanqiao
Zhao, Xiaobing
Zhang, Xiaoqi
Understanding Dynamic Status Change of Hospital Stay and Cost Accumulation via Combining Continuous and Finitely Jumped Processes
title Understanding Dynamic Status Change of Hospital Stay and Cost Accumulation via Combining Continuous and Finitely Jumped Processes
title_full Understanding Dynamic Status Change of Hospital Stay and Cost Accumulation via Combining Continuous and Finitely Jumped Processes
title_fullStr Understanding Dynamic Status Change of Hospital Stay and Cost Accumulation via Combining Continuous and Finitely Jumped Processes
title_full_unstemmed Understanding Dynamic Status Change of Hospital Stay and Cost Accumulation via Combining Continuous and Finitely Jumped Processes
title_short Understanding Dynamic Status Change of Hospital Stay and Cost Accumulation via Combining Continuous and Finitely Jumped Processes
title_sort understanding dynamic status change of hospital stay and cost accumulation via combining continuous and finitely jumped processes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015722/
https://www.ncbi.nlm.nih.gov/pubmed/29983729
http://dx.doi.org/10.1155/2018/6367243
work_keys_str_mv AT zhengyanqiao understandingdynamicstatuschangeofhospitalstayandcostaccumulationviacombiningcontinuousandfinitelyjumpedprocesses
AT zhaoxiaobing understandingdynamicstatuschangeofhospitalstayandcostaccumulationviacombiningcontinuousandfinitelyjumpedprocesses
AT zhangxiaoqi understandingdynamicstatuschangeofhospitalstayandcostaccumulationviacombiningcontinuousandfinitelyjumpedprocesses