Evidence map›Paper›PMID 31721809›Full record

ArticlePloS one2019

Outpatient antibiotic prescription rate and pattern in the private sector in India: Evidence from medical audit data.

Habib Hasan Farooqui, Aashna Mehta, Sakthivel Selvaraj

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

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

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 synthesis or guideline pooled it.

  1. Pooled it
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  7. Review
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  10. The Indian Society of Critical Care Medicine Position Statement on the Management of Sepsis in Resource-limited Settings.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  11. Article
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  14. Antibiotic therapy is associated with an increased incidence of cancer.Journal of cancer research and clinical oncology · 2023
    Article
  15. Article
  16. Article
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  19. Article
  20. Consumption of systemic antibiotics in India in 2019.The Lancet regional health. Southeast Asia · 2022
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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

3 authors.

Habib Hasan FarooquiIndian Institute of Public Health -Delhi, Public Health Foundation of India, Gurugram, Haryana, India.ORCID 0000-0002-3081-2929
Aashna MehtaHealth Economics, Financing and Policy, Public Health Foundation of India, Gurugram, Haryana, India.
Sakthivel SelvarajHealth Economics, Financing and Policy, Public Health Foundation of India, Gurugram, Haryana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The key objective of this research was to generate new evidence on outpatient antibiotic prescription rate and patterns in the private sector in India. We used 12-month period (May 2013 to April 2014) medical audit dataset from IQVIA (formerly IMS Health). We coded the diagnosis provided in the medical audit data to International Statistical Classification of Diseases and Related Health Problems (ICD-10) and the prescribed antibiotics for the diagnosis to Anatomic Therapeutic Chemical (ATC) classification of World Health Organization (ATC index-2016). We calculated and reported antibiotic prescription rate per 1,000 persons per year, by age groups, antibiotic class and disease conditions. Our main findings are-approximately 519 million antibiotic prescriptions were dispensed in the private sector, which translates into 412 prescriptions per 1,000 persons per year. Majority of the antibiotic prescriptions were dispensed for acute upper respiratory infections (J06) (20.4%); unspecified acute lower respiratory infection (J22) (12.8%); disorders of urinary system (N39) (6.0%); cough (R05) (4.7%); and acute nasopharyngitis (J00) (4.6%) and highest antibiotic prescription rates were observed in the age group 0-4 years. To conclude our study reports first ever country level estimates of antibiotic prescription by antibiotic classes, age groups, and ICD-10 mapped disease conditions.

Indexed as

Drug PrescriptionsMedical AuditOutpatientsPrivate SectorAdolescentAge DistributionAnti-Bacterial AgentsChildChild, PreschoolHumansIndiaInfantInfant, NewbornYoung AdultAnti-Bacterial Agents

Identifiers

PMID31721809
PMCPMC6853304

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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.