Evidence map›Paper›PMID 36460397›Full record

ArticleThe Indian journal of tuberculosis2022

Preparedness for establishing COVID-19 services during acute emergency of COVID-19 pandemic: Experience of a tertiary care TB and respiratory diseases hospital.

Neeta Singla, Jitendra Kumar Saini, Pallavi Purwar, Pravesh Yadav, Amitesh Gupta, Ravindra Kumar Dewan

Abstract read
In one paragraph

Article in The Indian journal of tuberculosis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

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

6 authors.

Neeta SinglaDepartment of Epidemiology, National Institute of Tuberculosis and Respiratory Diseases, New Delhi, 110030, India.
Jitendra Kumar SainiDepartment of Tuberculosis and Chest Diseases, National Institute of Tuberculosis and Respiratory Diseases, New Delhi, 110030, India.
Pallavi PurwarDepartment of Thoracic Surgery, National Institute of Tuberculosis and Respiratory Diseases, New Delhi, 110030, India.
Pravesh YadavNational Institute of Tuberculosis and Respiratory Diseases, New Delhi, 110030, India.
Amitesh GuptaDepartment of Tuberculosis and Chest Diseases, National Institute of Tuberculosis and Respiratory Diseases, New Delhi, 110030, India.
Ravindra Kumar DewanNational Institute of Tuberculosis and Respiratory Diseases, New Delhi, 110030, India. Electronic address: ravindrakdewan@rediffmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ongoing coronavirus disease 2019 (COVID-19) calls for setting up of well-equipped and dedicated health facilities to manage sick patients while protecting healthcare workers and the environment. An ideal high-level isolation unit requires a high level of administrative commitment, availability of space, human resource and logistics.

methodThe experience of setting up COVID-19 care facilities on a noticeably short period in a tertiary TB and respiratory diseases institute in wake of the COVID-19 pandemic is being shared here.

resultAll the essential COVID-19 services were set up in record time of 8 days. A total of 115 COVID-19 patients were admitted. Out of these 89 patients were discharged in a satisfactory condition. There were 19 deaths, and 4 patients became critical and had to be referred to level 3 facility for ICU care.

conclusionThis experience will help other hospitals in planning out the strategies and solve the difficulties they may face while opening a COVID-19 care facility under limited resources on an urgent basis.

Indexed as

COVID-19PandemicsTuberculosisHospitalizationHospitalsHumansTertiary Health CareCOVID-19Hospital managementInfection control

Identifiers

PMID36460397
PMCPMC8481114

What OpenQuestion holds

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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.