Evaluating service innovations to alleviate pressures in the management of patients with long term conditions through system dynamics modelling

Gozdem Dural Selcuk, Christos Vasilakis

Research output: Contribution to conferenceAbstract

Abstract

Developed countries are struggling with an ageing population and its effects on healthcare services. One of the reasons is that changes in population structure as well as other contributing factors such as changes in peoples’ lifestyles tend to increase the number of people with long term conditions. The management of long term conditions necessitates periodical and frequent visits to a specialist, which generates additional demand for healthcare services. Partly as a result, healthcare professionals and managers have been looking into different ways of expanding capacity in innovative and more efficient manner. One such service innovation is the introduction of remote-review or virtual clinics, primarily for those patients with long term conditions who are deemed to be stable or low risk. The idea is to increase capacity for outpatient appointments while avoiding the high costs associated with setting up and running a full consultant led clinic. There are plenty of empirical studies in the literature addressing different aspects of virtual clinics: e.g. the false negative/positive rates for patient risk group classification, the patient experience during and after implementation, their use in different diseases and conditions, etc. There are fewer examples in the literature that consider the problem from an operations research/systems modelling perspective. The modelling is not trivial given the need to capture the relevant population dynamics including notions of disease progression in the patients. In this paper we describe a system dynamics model that is designed to evaluate the likely impact of the implementation of virtual clinics under changing population dynamics and dynamic disease progression of the patients.
Original languageEnglish
Publication statusSubmitted - 2020
Event46th meeting of the EURO Working Group on Operational Research Applied to Health Services - University of Vienna, Vienna, Austria
Duration: 26 Jul 202031 Jul 2020
Conference number: 46
https://orahs2020.univie.ac.at/

Conference

Conference46th meeting of the EURO Working Group on Operational Research Applied to Health Services
Abbreviated titleORAHS2020
CountryAustria
CityVienna
Period26/07/2031/07/20
Internet address

Cite this

Dural Selcuk, G., & Vasilakis, C. (2020). Evaluating service innovations to alleviate pressures in the management of patients with long term conditions through system dynamics modelling. Abstract from 46th meeting of the EURO Working Group on Operational Research Applied to Health Services, Vienna, Austria.