SynthesisPharmacoEconomics2017
Discrete Event Simulation-Based Resource Modelling in Health Technology Assessment.
Synthesis in PharmacoEconomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Application of Discrete Event Simulation Models for COPD Management: A Systematic Review.International journal of chronic obstructive pulmonary disease · 2025Pooled it
- Capturing the Impact of Constraints on the Cost-Effectiveness of Cell and Gene Therapies: A Systematic Review.PharmacoEconomics · 2023Pooled it
- Mathematical modelling for health systems research: a systematic review of system dynamics and agent-based models.BMC health services research · 2019Pooled it
- Discrete Event Simulation in R using the 'Simmer' Package for Health Economic Modelling: A Tutorial and Illustration in Colon Cancer.Applied health economics and health policy · 2025Review
- Efficiency and equity of community-based falls prevention pathways: a model-based health economic evaluation.Age and ageing · 2025Article
- Incorporating Resource Constraints in Health Economic Evaluations: Overview and Methodological Considerations.PharmacoEconomics - open · 2025Article
- ENTIMOS: A Discrete Event Simulation Model for Maximising Efficiency of Infusion Suites in Centres Treating Multiple Sclerosis Patients.Applied health economics and health policy · 2022Article
- Planning for resilience in screening operations using discrete event simulation modeling: example of HPV testing in Peru.Implementation science communications · 2022Article
- Population-based screening of newborns: Findings from the newborn screening expansion study (part two).Frontiers in genetics · 2022Review
- Impact of the COVID-19 pandemic on the workflow of an ambulatory endoscopy center: an assessment by discrete event simulation.Gastrointestinal endoscopy · 2020Article
- Operational research to support equitable non-communicable disease policy in low-income and middle-income countries in the sustainable development era: a scoping review.BMJ global health · 2020Article
- Cost-effectiveness analyses of genetic and genomic diagnostic tests.Nature reviews. Genetics · 2018Review
- The economic case for precision medicine.Expert review of precision medicine and drug development · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe objective of this article was to conduct a systematic review of published research on the use of discrete event simulation (DES) for resource modelling (RM) in health technology assessment (HTA). RM is broadly defined as incorporating and measuring effects of constraints on physical resources (e.g. beds, doctors, nurses) in HTA models.
methodsSystematic literature searches were conducted in academic databases (JSTOR, SAGE, SPRINGER, SCOPUS, IEEE, Science Direct, PubMed, EMBASE) and grey literature (Google Scholar, NHS journal library), enhanced by manual searchers (i.e. reference list checking, citation searching and hand-searching techniques).
resultsThe search strategy yielded 4117 potentially relevant citations. Following the screening and manual searches, ten articles were included. Reviewing these articles provided insights into the applications of RM: firstly, different types of economic analyses, model settings, RM and cost-effectiveness analysis (CEA) outcomes were identified. Secondly, variation in the characteristics of the constraints such as types and nature of constraints and sources of data for the constraints were identified. Thirdly, it was found that including the effects of constraints caused the CEA results to change in these articles.
conclusionThe review found that DES proved to be an effective technique for RM but there were only a small number of studies applied in HTA. However, these studies showed the important consequences of modelling physical constraints and point to the need for a framework to be developed to guide future applications of this approach.
Indexed as
Identifiers
28674845What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.