ReviewBMC medical informatics and decision making2012
A review on the relation between simulation and improvement in hospitals.
Review in BMC medical informatics and decision making, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 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, 2 syntheses or guidelines pooled it.
- Simulation modeling validity and utility in colorectal cancer screening delivery: A systematic review.Journal of the American Medical Informatics Association : JAMIA · 2020Pooled it
- Simulation Modelling in Healthcare: An Umbrella Review of Systematic Literature Reviews.PharmacoEconomics · 2017Pooled it
- Leaders' experiences of embedding a simulation-based education programme in a teaching hospital: an interview study informed by normalisation process theory.Advances in simulation (London, England) · 2024Article
- Applying Value Stream Mapping to Improve the Delivery of Patient Care in the Oncology Day Hospital.International journal of environmental research and public health · 2022Article
- Resource management framework using simulation modeling and multi-objective optimization: a case study of a front-end department of a public hospital in Thailand.BMC medical informatics and decision making · 2022Article
- "What's the evidence?"-Towards more empirical evaluations of the impact of OR interventions in healthcare.Health systems (Basingstoke, England) · 2022Article
- Increasing cardio-thoracic productivity at Erasmus MC.Health systems (Basingstoke, England) · 2022Article
- Discrete-Event Simulation Modeling in Healthcare: A Comprehensive Review.International journal of environmental research and public health · 2021Review
- A patient flow simulator for healthcare management education.BMJ simulation & technology enhanced learning · 2019Article
- Being pragmatic about healthcare complexity: our experiences applying complexity theory and pragmatism to health services research.BMC medicine · 2018Article
- Operations research for resource planning and -use in radiotherapy: a literature review.BMC medical informatics and decision making · 2016Review
- A flexible simulation platform to quantify and manage emergency department crowding.BMC medical informatics and decision making · 2014Article
- Exploring improvements in patient logistics in Dutch hospitals with a survey.BMC health services research · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSimulation applications on operations management in hospitals are frequently published and claim to support decision-making on operations management subjects. However, the reported implementation rates of recommendations are low and the actual impact of the changes recommended by the modeler has hardly been examined. This paper examines: 1) the execution rate of simulation study recommendations, 2) the research methods used to evaluate implementation of recommendations, 3) factors contributing to implementation, and 4) the differences regarding implementation between literature and practice.
resultsAltogether 16 hospitals executed the recommendations (at least partially). Implementation results were hardly reported upon; 1 study described a before-and-after design, 2 a partial before and after design. Factors that help implementation were grouped according to 1) technical quality, of which data availability, validation/verification with historic data/expert opinion, and the development of the conceptual model were mentioned most frequently 2) process quality, with client involvement and 3) outcome quality with, presentation of results. The survey response rate of traceable authors was 61%, 18 authors implemented the results at least partially. Among these responses, evaluation methods were relatively better with 3 time series designs and 2 before-and-after designs.
conclusionsAlthough underreported in literature, implementation of recommendations seems limited; this review provides recommendations on project design, implementation conditions and evaluation methods to increase implementation.
methodsA literature review in PubMed and Business Source Elite on stochastic simulation applications on operations management in individual hospitals published between 1997 and 2008. From those reporting implementation, cross references were added. In total, 89 papers were included. A scoring list was used for data extraction. Two reviewers evaluated each paper separately; in case of discrepancies, they jointly determined the scores. The findings were validated with a survey to the original authors.
Indexed as
Identifiers
What 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.