Evidence map›Paper›PMID 36320447›Full record

ArticleJAC-antimicrobial resistance2022

Antibiotic consumption in India: geographical variations and temporal changes between 2011 and 2019.

Shaffi Fazaludeen Koya, Senthil Ganesh, Sakthivel Selvaraj, Veronika J Wirtz, Sandro Galea, Peter C Rockers

Abstract read
In one paragraph

Article in JAC-antimicrobial resistance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–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

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

26 citing papers in PubMed.

  1. Article
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  3. Comparative genomic analysis ofJAC-antimicrobial resistance · 2026
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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

6 authors.

Shaffi Fazaludeen KoyaSchool of Public Health, Boston University, Boston, MA, USA.ORCID https://orcid.org/0000-0002-1220-5754
Senthil GaneshPublic Health Foundation of India, New Delhi, Delhi, India.
Sakthivel SelvarajPublic Health Foundation of India, New Delhi, Delhi, India.
Veronika J WirtzSchool of Public Health, Boston University, Boston, MA, USA.
Sandro GaleaSchool of Public Health, Boston University, Boston, MA, USA.ORCID https://orcid.org/0000-0002-7534-0945
Peter C RockersSchool of Public Health, Boston University, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To describe and compare private sector systemic (J01) antibiotic consumption across Indian states from 2011 to 2019. Methods: We used the nationally representative PharmaTrac dataset to describe the consumption rates in DDD across national, state and state-group [high focus (HF) and non-high focus (nHF)] levels. We used median and IQRs to describe and compare across states and state groups, and relative change and compound annual growth rate (CAGR) to examine temporal changes. Results: The annual consumption rate decreased by 3.6% between 2011 and 2019. The share of Access antibiotics decreased (13.1%) and the Access/Watch ratio declined from 0.59 to 0.49. State consumption rates varied widely (HF states reported lower rates) and the inappropriate use increased over the years, especially among HF states. The HF and nHF states showed convergence in the share of the Access and the Access/Watch ratio, while they showed divergence in the use of Discouraged fixed-dose combinations. Conclusions and implications: India's private-sector antibiotic consumption rate was lower than global rates. The rates varied across states and appropriateness of use decreased in most states over the years. States with an increase in appropriate use over time could serve as best practice examples. Studies to understand the factors affecting inappropriate use are required alongside improved data systems to monitor the public-sector provision of antibiotics to understand the total consumption.

Identifiers

PMID36320447
PMCPMC9596537

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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.