Evidence map›Paper›PMID 36718460›Full record

ArticleInfection prevention in practice2023

Impact of COVID-19 on the national tuberculosis elimination program in uttarakhand, india: a mixed-methods research study.

Kirti Garg, Yogesh Bahurupi, Pradeep Aggarwal, Mayank Badola

Open access · goldAbstract read
In one paragraph

Article in Infection prevention in practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 9 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

4 authors at 3 institutions in 1 country.

Kirti GargDepartment of Neurology, All India Institute of Medical Sciences, New Delhi, India.
Yogesh BahurupiDepartment of Community and Family Medicine, All India Institute of Medical Sciences Rishikesh, Rishikesh, Uttarakhand, India.
Pradeep AggarwalDepartment of Community and Family Medicine, All India Institute of Medical Sciences Rishikesh, Rishikesh, Uttarakhand, India.
Mayank BadolaGovernment of Uttarakhand, Dehradun, Uttarakhand, India.
All India Institute of Medical Sciences Rishikesh · INAll India Institute of Medical Sciences · INUttarakhand Government · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic has had adverse effects on tuberculosis (TB) management in high-burden countries. We conducted a qualitative study to assess the impact of COVID-19 on Uttarakhand's TB elimination program. Methods: A mixed-methods study was conducted to assess the impact of COVID-19 on the National Tuberculosis Elimination Program (NTEP) in Uttarakhand, India. We collected secondary data through the NIKSHAY portal from April 1, 2019, to March 31, 2021, interviewed program managers for the qualitative part of the study, and documented changes in some of the program core indicators during the study period. Results: The study showed a decrease in TB case notification, an increase in the proportion of missing cases, and a fall in the treatment success rate of new cases during the ongoing COVID-19 pandemic by 17%, 54%, and 45%, respectively. Content analysis of in-depth interviews showed disruption in TB-care services because of COVID-19. Conclusion: TB care services in Uttarakhand have been impacted by measures taken to curb the spread of COVID-19. Both the quantitative and qualitative aspects of the study showed a serious impact on notification rates, diagnostic services, and treatment outcomes for TB patients. In addition, some negative changes have been observed when documenting program indicators (annual case notifications, success rate, treatment success rate) of the National Tuberculosis Elimination Program (NTEP). It is thus predicted that COVID-19 will undermine the Government of India's goal to eradicate TB by 2025 and will negatively affect the TB Program.

Indexed as

Core indicatorsCOVID-19NotificationTBTuberculosis

Identifiers

PMID36718460
PMCPMC9868010
OpenAlexW4317725458

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.