Background: Return on Investment (ROI) is increasingly being used to evaluate financial benefits from healthcare Quality Improvement (QI). ROI is traditionally used to evaluate investment performance in the commercial field. Little is known about ROI in healthcare. The aim of this systematic review was to analyse and develop ROI as a concept and develop a ROI conceptual framework for large-scale healthcare QI programmes.
Methods: We searched Medline, Embase, Global health, PsycInfo, EconLit, NHS EED, Web of Science, Google Scholar using ROI or returns-on-investment concepts (e.g., cost-benefit, cost-effectiveness, value). We combined this terms with healthcare and QI. Included articles discussed at least three organisational QI benefits, including financial or patient benefits. We synthesised the different ways in which ROI or return-on-investment concepts were used and discussed by the QI literature; first the economically focused, then the non-economically focused QI literature. We then integrated these literatures to summarise their combined views.
Results: We retrieved 10 428 articles. One hundred and two (102) articles were selected for full text screening. Of these 34 were excluded and 68 included. The included articles were QI economic, effectiveness, process, and impact evaluations as well as reports and conceptual literature. Fifteen of 68 articles were directly focused on QI programme economic outcomes. Of these, only four focused on ROI. ROI related concepts in this group included cost-effectiveness, cost-benefit, ROI, cost-saving, cost-reduction, and cost-avoidance. The remaining articles mainly mentioned efficiency, productivity, value, or benefits. Financial outcomes were not the main goal of QI programmes. We found that the ROI concept in healthcare QI aligned with the concepts of value and benefit, both monetary and non-monetary.
Conclusion: Our analysis of the reviewed literature indicates that ROI in QI is conceptualised as value or benefit as demonstrated through a combination of significant outcomes for one or more stakeholders in healthcare organisations. As such, organisations at different developmental stages can deduce benefits that are relevant and legitimate as per their contextual needs.
Trial Registration: Review registration: PROSPERO; CRD42021236948.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9728007 | PMC |
| http://dx.doi.org/10.1186/s12913-022-08832-3 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Cerebral blood flow and histological analysis for the accurate differentiation of infiltrating tumor and vasogenic edema in glioblastoma.
PLoS One
January 2025
Department of Neurosurgery, Osaka University Graduate School of Medicine, Osaka, Japan.
Background: Glioblastoma is characterized by neovascularization and diffuse infiltration into the adjacent tissue. T2*-based dynamic susceptibility contrast (DSC) MR perfusion images provide useful measurements of the biomarkers associated with tumor perfusion. This study aimed to distinguish infiltrating tumors from vasogenic edema in glioblastomas using DSC-MR perfusion images.
View Article and Find Full Text PDFA computer vision model for the identification and scoring of calcium in aortic valve stenosis: a single-center experience.
Cardiovasc Diagn Ther
December 2024
East Slovak Institute of Cardiovascular Diseases and School of Medicine, Pavol Jozef Safarik University, Kosice, Slovakia.
Background: Echocardiography is widely used to assess aortic stenosis (AS) but can yield inconsistent results, leading to uncertainty about AS severity and the need for further diagnostics. This retrospective study aimed to evaluate a novel echocardiography-based marker, the signal intensity coefficient (SIC), for its potential in accurately identifying and quantifying calcium in AS, enhancing noninvasive diagnostic methods.
Methods: Between May 2022 and October 2023, 112 cases of AS that were previously considered severe by echocardiography were retrospectively evaluated, as well as a group of 50 cases of mild or moderate AS, both at the Eastern Slovak Institute of Cardiovascular Diseases in Kosice, Slovakia.
Research on health monitoring of concrete structure based on G-S-G.
Sci Rep
January 2025
Civil and Transportation College, Beihua University, Jilin, China.
An improved concrete structure health monitoring method based on G-S-G is proposed, which fully combines an optimized Gray-Level Co-occurrence Matrix (GLCM) with an improved Self-Organizing Map (SOM) neural network to achieve accurate and real-time concrete structure health monitoring. First of all, in order to obtain a dynamic image of the crack damage region of interest (ROI) with clear contrast and obvious target, the image acquisition system and image optimization method are used to process the damaged image. Moreover, in order to realize the accurate location of crack damage, crack damage identification research based on GLCM-SOM effectively eliminates the interference of honeycomb and pothole damage on crack damage.
View Article and Find Full Text PDFA fast region of interest algorithm for efficient data compression and improved peak detection in high-resolution mass spectrometry.
Anal Bioanal Chem
January 2025
Department of Plant and Environmental Science, University of Copenhagen, Thorvaldsensvej 40, DK-1871, Frederiksberg, Denmark.
Liquid chromatography coupled to high-resolution mass spectrometry (LC-HRMS) is commonly used for identification of compounds in complex samples due to the high chromatographic and mass spectral resolution provided. In subsequent data processing workflows, it is imperative to preserve this resolution to fully exploit the data. "Region of interest" (ROI) algorithms were introduced as a better alternative to equidistant binning for compressing HRMS data because they better preserve the mass spectral resolution.
View Article and Find Full Text PDF[Effect of extra corporeal reducing pre-load on pulmonary mechanical power in patients with acute respiratory distress syndrome].
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue
December 2024
Department of Public Utilities Development, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou 450003, Henan, China.
Objective: To explore the effects of veno-venous extra corporeal carbon dioxide removal (V-V ECCOR) on local mechanical power and gas distribution in the lungs of patients with mild to moderate acute respiratory distress syndrome (ARDS) receiving non-invasive ventilation.
Methods: Retrospective research methods were conducted. Sixty patients with mild to moderate ARDS complicated with renal insufficiency who were transferred to the respiratory intensive care unit (RICU) through the 96195 platform critical care transport green channel from January 2018 to January 2020 at the collaborative hospitals of Henan Provincial People's Hospital were enrolled.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!