Evidence map›Paper›PMID 40432212›Full record

ArticleJournal of health organization and management2025

Managing and measuring performance of health prevention services: a simulation-based approach.

Guido Noto, Francesca De Domenico, Sandra C Buttigieg, Gustavo Barresi

Abstract read
In one paragraph

Article in Journal of health organization and management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Guido NotoDepartment of Economics, University of Messina, Messina, Italy.
Francesca De DomenicoDepartment of Economics, University of Messina, Messina, Italy.
Sandra C ButtigiegDepartment of Health Systems Management and Leadership, Faculty of Health Sciences, University of Malta, Msida, Malta.
Gustavo BarresiDepartment of Economics, University of Messina, Messina, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study focuses on the application of performance management (PM) in health prevention services. Unlike other healthcare services that focus on individual health results, prevention activities aim at community-wide benefits, often related to the avoidance of negative health outcomes. This, coupled with delayed effects of prevention activities, external influences on results and multiple stakeholders, poses challenges for the management, measurement and accountability of the results achieved by healthcare organisations and systems. To address these challenges, the research proposes the adoption of simulation techniques, specifically system dynamics (SD), to enhance PM in the prevention sector. DESIGN/METHODOLOGY/APPROACH: SD is a methodological approach developed for modelling and simulating complex systems and experimenting with the models to design strategies and policies. It provides a systemic perspective and a set of conceptual tools that enable one to frame the structure and behaviour of complex, nonlinear, multi-loop feedback systems through an illustrative case focused on the management of primary and secondary prevention of chronic care conditions within a Beveridge healthcare system.

findingsBy employing SD, the study aims to provide decision-makers with the capability to understand the link between immediate outputs and long-term outcomes, facilitating the evaluation of alternative policy options and scenarios that are otherwise untestable due to the long latency of diseases, delayed impact of preventive actions and systemic fragmentation. ORIGINALITY/VALUE: Through the development of an SD model, this research contributes to the field by offering a novel approach to overcoming the measurement and accountability obstacles in prevention as part of healthcare PM.

Indexed as

Computer SimulationPreventive Health ServicesHumansHealthcarePerformance managementPreventionSimulationSystem dynamics

Identifiers

PMID40432212
PMCPMC12492460

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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.