Staffordshire University logo
STORE - Staffordshire Online Repository

Random effects models for operational patient pathways

Adeyemi, Shola and Chaussalet, Thierry and Xie, Haifeng and ASADUZZAMAN, Md (2010) Random effects models for operational patient pathways. Journal of Applied Statistics, 37 (4). pp. 691-701. ISSN 0266-4763

Full text not available from this repository. (Request a copy)

Abstract or description

Patient flow modeling is a growing field of interest in health services research. Several techniques have been applied to model movement of patients within and between health-care facilities. However, individual patient experience during the delivery of care has always been overlooked. In this work, a random effects model is introduced to patient flow modeling and applied to a London Hospital Neonatal unit data. In particular, a random effects multinomial logit model is used to capture individual patient trajectories in the process of care with patient frailties modeled as random effects. Intuitively, both operational and clinical patient flow are modeled, the former being physical and the latter latent. Two variants of the model are proposed, one based on mere patient pathways and the other based on patient characteristics. Our technique could identify interesting pathways such as those that result in high probability of death (survival), pathways incurring the least (highest) cost of care or pathways with the least (highest) length of stay. Patient-specific discharge probabilities from the health care system could also be predicted. These are of interest to health-care managers in planning the scarce resources needed to run health-care institutions.

Item Type: Article
Subjects: G300 Statistics
Faculty: Faculty of Computing, Engineering and Sciences > Engineering
Depositing User: Md ASADUZZAMAN
Date Deposited: 12 Aug 2014 15:47
Last Modified: 12 Aug 2014 15:47
URI: http://eprints.staffs.ac.uk/id/eprint/1936

Actions (login required)

View Item View Item

DisabledGo Staffordshire University is a recognised   Investor in People. Sustain Staffs
Legal | Freedom of Information | Site Map | Job Vacancies
Staffordshire University, College Road, Stoke-on-Trent, Staffordshire ST4 2DE t: +44 (0)1782 294000