Evidence map›Paper›PMID 33343166›Full record

ArticleJournal of global infectious diseases

Perceived Discrimination among Tuberculosis Patients in an Urban Area of Kolkata City, India.

Sitikantha Banerjee, Kajari Bandyopadhyay, Pranita Taraphdar, Aparajita Dasgupta

Abstract read
In one paragraph

Article in Journal of global infectious diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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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, 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

4 authors.

Sitikantha BanerjeeDepartment of Community Medicine, All India Institute of Medical Sciences, Nagpur, Maharashtra, India.
Kajari BandyopadhyayDepartment of Community Medicine, All India Institute of Medical Sciences, Nagpur, Maharashtra, India.
Pranita TaraphdarDepartment of Community Medicine, NRS Medical College, Kolkata, West Bengal, India.
Aparajita DasguptaDepartment of Preventive and Social Medicine, All India Institute of Hygiene and Public Health, Kolkata, West Bengal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CONTEXT AND

aimsTuberculosis (TB) in India is a leading public health problem plagued by social determinants such as stigma and discrimination, which may affect treatment seeking, adherence, and possibly treatment outcome. This study was conducted to elicit the perceived discrimination, its determinants, as well as to determine whether perceived discrimination is predicting treatment outcome among TB patients registered in an Urban Health District, Kolkata City, India. SETTINGS AND

designAn institutionbased follow-up study was conducted where all the TB patients registered within the 1 SUBJECTS AND

methodsPerceived discrimination was assessed at treatment initiation, after intensive period and after continuation phase using a predesigned and pretested questionnaire. STATISTICAL ANALYSIS USED: Multivariable logistic regression analyses were performed to identify the determinants of perceived discrimination as well as the treatment outcome.

resultsPerceived discrimination by family members, neighbors, and colleagues was reported by 9.4%, 36.5%, and 34.2% participants, respectively, overall discrimination being 37.9%. Multivariable analysis revealed that discrimination was significantly more among patients with older age group, females, and from joint families. Perceived discriminated was found to be significantly predicting unfavorable treatment outcome even after adjustment with background and treatment-related variables.

conclusionsSensitization programs should incorporate measures to address stigma and discrimination and more emphasis needs to be placed on women and elderly patients.

Indexed as

Discriminationtreatment outcometuberculosis

Identifiers

PMID33343166
PMCPMC7733423

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LicenceCC BY-NC-SA
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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.