Evidence map›Paper›PMID 35156071›Full record

ArticleCleaner engineering and technology2022

Assessment of COVID-19 prevention and protection measures in hospitals.

Albi Thomas, M Suresh

Open access · goldAbstract read
In one paragraph

Article in Cleaner engineering and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Albi ThomasAmrita School of Business, Amrita Vishwa Vidyapeetham, Coimbatore, 641 112, India.
M SureshAmrita School of Business, Amrita Vishwa Vidyapeetham, Coimbatore, 641 112, India.
Amrita Vishwa Vidyapeetham · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper aims to develop an assessment framework for the Covid-19 prevention and protection measures in hospitals. The conceptual model is developed by using fifty-four attributes, fifteen criteria, and three enablers. The multi-grade fuzzy approach is used to develop the assessment framework, and Importance Performance Analysis (IPA) identifies the weaker attributes in the case organization. The case hospital's preventive and safety measures assessment level is 8.05, which is 'very highly focused on protection measures,' and fourteen weaker attributes were identified. The case hospital management should focus on the guidelines of Covid-19 preventive and protection measures, strict protocols, regular audits, education and training of the staff, and active surveillance. Case hospital managers should also focus on staffing and timings, the formulation of policies, and abiding by those policies without any fail. This proposed assessment model is a new initiative in-hospital assessment in preventive and safety measures in the healthcare sector during the Covid-19 era. This framework will enable hospital managers as a continuous assessment tool to improve their Covid-19 prevention operations.

Indexed as

Covid-19 preventive measuresHealthcare organizationsHospitalsImportance performance analysisMulti-grade fuzzyNovel corona Virus-19

Identifiers

PMID35156071
PMCPMC8820025
OpenAlexW4210504398

What OpenQuestion holds

Textmetadata
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.