Evidence mapPaperPMID 34849397Full record

ArticleDiscoveries (Craiova, Romania)

Information technology-based joint preoperative assessment, risk stratification and its impact on patient management, perioperative outcome, and cost.

Habib Md Reazaul Karim, Subrata Kumar Singha, Praveen Kumar Neema, Tridip Dutta Baruah, Rubik Ray, Debajyoti Mohanty, Md Sabah Siddiqui, Rachita Nanda, Narendra Kuber Bodhey

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Article in Discoveries (Craiova, Romania). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
field-weighted citation impact
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Habib Md Reazaul KarimDepartment of Anaesthesiology, India Institute of Medical Sciences, Raipur, India.
Subrata Kumar SinghaDepartment of Anaesthesiology, India Institute of Medical Sciences, Raipur, India.
Praveen Kumar NeemaDepartment of Anaesthesiology, India Institute of Medical Sciences, Raipur, India.
Tridip Dutta BaruahDepartment of General Surgery, India Institute of Medical Sciences, Raipur, India.
Rubik RayDepartment of General Surgery, India Institute of Medical Sciences, Raipur, India.
Debajyoti MohantyDepartment of General Surgery, India Institute of Medical Sciences, Raipur, India.
Md Sabah SiddiquiDepartment of General Medicine, India Institute of Medical Sciences, Raipur, India.
Rachita NandaDepartment of Clinical Biochemistry, India Institute of Medical Sciences, Raipur, India.
Narendra Kuber BodheyDepartment of Radiodiagnosis, India Institute of Medical Sciences, Raipur, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite negative recommendations, routine preoperative testing practice is nearly universal. Our aim is to bring the healthcare providers on one platform by using information-technology based preanaesthetic assessment and evaluate the routine preoperative testing's impact on patient outcome and cost.

methodsA prospective, non-randomised study was conducted in a teaching hospital during January 2019-August 2020. A locally developed software and cloud-computing were used as a tool to modify preanaesthesia evaluation. The number of investigations ordered, time taken, cost incurred, were compared with the routine practice. Further data were matched as per surgical invasiveness and the patient's physical status. Appropriate tests compared intergroup differences and p-value <0.05 was considered significant.  Results: Data from 114 patients (58 in routine and 56 in patient and surgery specific) were analysed. Patient and surgery specific investigation led to a reduction in the investigations by 80-90%, hospital visit by 50%, and the total cost by 80%, without increasing the day of surgery cancellation or complications.

conclusionInformation technology-based joint preoperative assessment and risk stratification are feasible through locally developed software with minimal cost. It helps in applying patient and surgery specific investigation, reducing the number of tests, hospital visit, and cost, without adversely affecting the perioperative outcome. The application of the modified method will help in cost-effective, yet quality and safe perioperative healthcare delivery. It will also benefit the public from both service and economic perspective.

Indexed as

cost-benefit analysis.elective surgical procedureshealth resourcesInformation technologypreoperative caresoftware

Identifiers

PMID34849397
PMCPMC8627278

What Socratic holds

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LicenceCC BY
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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 Socratic graph.