Evidence map›Paper›PMID 36737510›Full record

ArticlePharmacoEconomics - open2023

Cost-Utility Analysis of the Caresyntax Platform to Identify Patients at Risk of Surgical Site Infection Undergoing Colorectal Surgery.

Eoin Moloney, Atefeh Mashayekhi, Mehdi Javanbakht, Mohsen Rezaei Hemami, Michael Branagan-Harris

Open access · goldAbstract read
In one paragraph

Article in PharmacoEconomics - open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 33% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

5 authors at 2 institutions in 1 country.

Eoin MoloneyOptimax Access Ltd., Kenneth Dibben House, Enterprise Rd, Chilworth, Southampton Science Park, Southampton, UK. Eoin.Moloney@optimaxaccess.com.ORCID http://orcid.org/0000-0002-9480-9884
Atefeh MashayekhiOptimax Access Ltd., Kenneth Dibben House, Enterprise Rd, Chilworth, Southampton Science Park, Southampton, UK.
Mehdi JavanbakhtOptimax Access Ltd., Kenneth Dibben House, Enterprise Rd, Chilworth, Southampton Science Park, Southampton, UK.
Mohsen Rezaei Hemami, Oxford, UK.
Michael Branagan-HarrisDevice Access Ltd., Kenneth Dibben House, Enterprise Rd, Chilworth, Southampton Science Park, Southampton, UK.
Chilworth Technology (United Kingdom) · GBScience Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSurgical site infections (SSIs) account for up to 18% of all healthcare-associated infections (HAIs). The Caresyntax data-driven surgery platform incorporates the most common risk factors for SSI, to identify high-risk surgical patients before they leave the operating theatre and treat them prophylactically with negative pressure wound therapy (NPWT). An economic analysis was performed to assess the costs and health outcomes associated with introduction of the technology in the English healthcare setting.

methodsA hybrid decision tree/Markov model was developed to reflect the treatment pathways that patients undergoing colorectal surgery would typically follow, both over the short term (30-day hospital setting) and long term (lifetime). The analysis considered implementation of Caresyntax's platform-based SSI predictive algorithm in the hospital setting, compared with standard of care, from an English National Health Service (NHS) perspective. The base-case analysis presents results in terms of cost per quality-adjusted life-year (QALY) gained, as well as operational impact.

resultsThe base-case analysis indicates that the intervention leads to a cost saving of £55.52m across the total NHS colorectal surgery patient population in 1 year. In addition, the intervention has a 98.36% probability of being cost effective over a lifetime horizon. The intervention results in the avoidance of 19,744 SSI events, as well 191,911 excess hospital bed days saved.

conclusionCaresyntax's platform-based SSI predictive algorithm has the potential to result in cost savings and improved patient quality of life. Additionally, operational gains for the healthcare provider, including reduced infection rates and hospital bed days saved, have been shown through the economic modeling.

Identifiers

PMID36737510
PMCPMC10043121
OpenAlexW4319052086

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.