Evidence map›Paper›PMID 32404055›Full record

ArticleBMC infectious diseases2020

Antibiotic prescribing among patients with severe infectious diseases in two private sector hospitals in Central India - a time series analysis over 10 years.

Anna Damlin, Megha Sharma, Gaetano Marrone, Cecilia Stålsby Lundborg

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Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Anna DamlinDepartment of Global Public Health, Health Systems and Policy. Karolinska Institutet, SE-171 77, Stockholm, Sweden.
Megha SharmaDepartment of Global Public Health, Health Systems and Policy. Karolinska Institutet, SE-171 77, Stockholm, Sweden. megha.sharma@ki.se.ORCID http://orcid.org/0000-0001-9165-9393
Gaetano MarroneDepartment of Global Public Health, Health Systems and Policy. Karolinska Institutet, SE-171 77, Stockholm, Sweden.
Cecilia Stålsby LundborgDepartment of Global Public Health, Health Systems and Policy. Karolinska Institutet, SE-171 77, Stockholm, Sweden.

Funding

Asia Link 348-2006-6633Erasmus Mundus Lot-15Vetenskapsrådet K2007-70X-20514-01-3, K2010-396 70X-20514-04-3, 2017-01327
6 · The paper itself

Abstract

backgroundAntibiotic resistance is an emerging problem caused due to antibiotic use. In countries with high rates of infectious diseases, antibiotic resistance is a frequent cause of mortality. The aim was to analyse antibiotic prescribing practices between 2008 and 2017 in a teaching (TH) and a non-teaching (NTH) hospital, as typical hospitals of low- and middle-income countries, and to compare antibiotic prescribing for severe infectious indications for which empiric antibiotic treatment is recommended.

methodsData from adult patients registered at two Indian private-sector hospitals with one of the following indications: epiglottitis, pneumonia, peritonitis, pyelonephritis, cellulitis, erysipelas, septic arthritis, endocarditis, meningitis or sepsis; were included and analysed. Antibiotic prescription data was analyzed using the World Health Organization's (WHO) Anatomical Therapeutic Chemical classification system and the Defined Daily Doses. Chi-square and linear regression were used to compare the data between groups. Time series analyses were conducted using linear regression. P-values < 0.05 were considered significant.

resultsIn total, 3766 patients were included, 2504 inpatients in the NTH and 1262 in the TH, of which 92 and 89% patients, respectively, were prescribed antibiotics. Sixty-one percent of total prescriptions in the TH and 40% in the NTH comprised the access category of antibiotics (i.e. the first-choice of treatment according to the WHO). The WHO's second-choice of treatment, the watch category, comprised 29 and 40% of total prescriptions in the TH and NTH, respectively. Prescribing of fixed-dose combinations (FDCs) of antibiotics was significantly higher in the NTH (18%) than in the TH (8%, P < 0.05). Prescribing of watch antibiotics and FDCs increased significantly in both hospitals between 2008 and 2017 among patients with pneumonia, cellulitis and peritonitis (P < 0.05).

conclusionsPrescribing of watch antibiotics and FDCs of antibiotics increased over time at both hospitals, indicating under prescribing of access antibiotics and more prescribing of second-choice antibiotics. The results can be used to highlight the areas of improvement in similar settings. Implementing diagnostic routines and local prescribing guidelines could improve the prescribing practices.

Indexed as

Hospitals, PrivatePrivate SectorAdultAnti-Bacterial AgentsCellulitisCommunicable DiseasesDrug Resistance, MicrobialFemaleHospitals, TeachingHumansIndiaInpatientsMaleMiddle AgedPeritonitisPneumoniaAnti-Bacterial AgentsPrescription DrugsAntibiotic resistanceAntibioticsBacterial infectionsFixed dose combinationsPrescribing practicePrivate-sector hospitals

Identifiers

PMID32404055
PMCPMC7218632

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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.