EconPapers    
Economics at your fingertips  
 

An empirical comparison of Markov cohort modeling and discrete event simulation in a capacity-constrained health care setting

L. B. Standfield (), T. A. Comans and Paul Scuffham
Additional contact information
L. B. Standfield: Griffith University
T. A. Comans: Griffith University

The European Journal of Health Economics, 2017, vol. 18, issue 1, No 4, 33-47

Abstract: Abstract Objectives To empirically compare Markov cohort modeling (MM) and discrete event simulation (DES) with and without dynamic queuing (DQ) for cost-effectiveness (CE) analysis of a novel method of health services delivery where capacity constraints predominate. Methods A common data-set comparing usual orthopedic care (UC) to an orthopedic physiotherapy screening clinic and multidisciplinary treatment service (OPSC) was used to develop a MM and a DES without (DES-no-DQ) and with DQ (DES-DQ). Model results were then compared in detail. Results The MM predicted an incremental CE ratio (ICER) of $495 per additional quality-adjusted life-year (QALY) for OPSC over UC. The DES-no-DQ showed OPSC dominating UC; the DES-DQ generated an ICER of $2342 per QALY. Conclusions The MM and DES-no-DQ ICER estimates differed due to the MM having implicit delays built into its structure as a result of having fixed cycle lengths, which are not a feature of DES. The non-DQ models assume that queues are at a steady state. Conversely, queues in the DES-DQ develop flexibly with supply and demand for resources, in this case, leading to different estimates of resource use and CE. The choice of MM or DES (with or without DQ) would not alter the reimbursement of OPSC as it was highly cost-effective compared to UC in all analyses. However, the modeling method may influence decisions where ICERs are closer to the CE acceptability threshold, or where capacity constraints and DQ are important features of the system. In these cases, DES-DQ would be the preferred modeling technique to avoid incorrect resource allocation decisions.

Keywords: Discrete event simulation; Markov cohort; Cost-effectiveness; Dynamic queuing; DES (search for similar items in EconPapers)
JEL-codes: I10 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s10198-015-0756-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:eujhec:v:18:y:2017:i:1:d:10.1007_s10198-015-0756-z

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10198/PS2

DOI: 10.1007/s10198-015-0756-z

Access Statistics for this article

The European Journal of Health Economics is currently edited by J.-M.G.v.d. Schulenburg

More articles in The European Journal of Health Economics from Springer, Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ) Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-30
Handle: RePEc:spr:eujhec:v:18:y:2017:i:1:d:10.1007_s10198-015-0756-z