Evidence map›Paper›PMID 36778538›Full record

ArticleFrontiers in public health2023

Why and where?-Delay in Tuberculosis care cascade: A cross-sectional assessment in two Indian states, Jharkhand, Gujarat.

Sandul Yasobant, Harsh Shah, Priya Bhavsar, Jay Patel, Somen Saha, Anish Sinha, Tapasvi Puwar, Yogesh Patel, Deepak Saxena

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  12. Assessing the Role of Pradhan Mantri TB Mukt Bharat Abhiyaan in India's Fight against TB: A National-level Data-based Research Investigation.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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

9 authors at 3 institutions in 1 country.

Sandul YasobantDepartment of Public Health Science, Indian Institute of Public Health Gandhinagar (IIPHG), Gandhinagar, India.
Harsh ShahDepartment of Public Health Science, Indian Institute of Public Health Gandhinagar (IIPHG), Gandhinagar, India.
Priya BhavsarDepartment of Public Health Science, Indian Institute of Public Health Gandhinagar (IIPHG), Gandhinagar, India.
Jay PatelDepartment of Public Health Science, Indian Institute of Public Health Gandhinagar (IIPHG), Gandhinagar, India.
Somen SahaDepartment of Public Health Science, Indian Institute of Public Health Gandhinagar (IIPHG), Gandhinagar, India.
Anish SinhaDepartment of Public Health Science, Indian Institute of Public Health Gandhinagar (IIPHG), Gandhinagar, India.
Tapasvi PuwarDepartment of Public Health Science, Indian Institute of Public Health Gandhinagar (IIPHG), Gandhinagar, India.
Yogesh PatelWorld Health Partners (WHP), Noida, India.
Deepak SaxenaDepartment of Public Health Science, Indian Institute of Public Health Gandhinagar (IIPHG), Gandhinagar, India.
Indian Institute of Public Health Gandhinagar · INDatta Meghe Institute of Medical Sciences · INWorld Health Partners · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) is the second leading cause of death due to infectious diseases globally, and delay in the TB care cascade is reported as one of the major challenges in achieving the goals of the TB control programs. The main aim of this study was to investigate the delay and responsible factors for the delay in the various phases of care cascade among TB patients in two Indian states, Jharkhand and Gujarat. This cross-sectional study was conducted among 990 TB patients from the selected tuberculosis units (TUs) of two states. This study adopted a mixed-method approach for the data collection. The study targeted a diverse profile of TB patients, such as drug-sensitive TB (DSTB), drug resistance TB (DRTB), pediatric TB, and extra-pulmonary TB. It included both public and private sector patients. The study findings suggested that about 41% of pulmonary and 51% of extra-pulmonary patients reported total delay. Delay in initial formal consultation is most common, followed by a delay in diagnosis and treatment initiation in pulmonary patients. While in extra-pulmonary patients, delay in treatment initiation is most common, followed by the diagnosis and first formal consultation. DR-TB patients are more prone to total delay and delay in the treatment initiation among pulmonary patients. Addiction, co-morbidity and awareness regarding monetary benefits available for TB patients contribute significantly to the total delay among pulmonary TB patients. There were system-side factors like inadequacy in active case findings, poor infrastructure, improper adverse drug reaction management and follow-up, resulting in delays in the TB care cascade in different phases. Thus, the multi-disciplinary strategies covering the gambit of both system and demand side attributes are recommended to minimize the delays in the TB care cascade.

Indexed as

TuberculosisTuberculosis, PulmonaryChildCross-Sectional StudiesDelayed DiagnosisHumansTime-to-Treatmentcare cascadedelayfactors for delayIndiatuberculosis

Identifiers

PMID36778538
PMCPMC9911525
OpenAlexW4318191376

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LicenceCC BY
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Registered trials

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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.