Evidence map›Paper›PMID 24883208›Full record

ArticleEmergency medicine international2014

Drug utilization study in medical emergency unit of a tertiary care hospital in north India.

Sharonjeet Kaur, Sujit Rajagopalan, Navjot Kaur, Nusrat Shafiq, Ashish Bhalla, Promila Pandhi, Samir Malhotra

Abstract read
In one paragraph

Article in Emergency medicine international, 2014. 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
–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

12 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

7 authors.

Sharonjeet KaurDepartment of Pharmacology, PGIMER, Chandigarh 160012, India.
Sujit RajagopalanDepartment of Pharmacology, PGIMER, Chandigarh 160012, India.
Navjot KaurDepartment of Pharmacology, PGIMER, Chandigarh 160012, India.ORCID 0000-0002-5179-0773
Nusrat ShafiqDepartment of Pharmacology, PGIMER, Chandigarh 160012, India.ORCID 0000-0002-1829-8701
Ashish BhallaDepartment of Internal Medicine, PGIMER, Chandigarh 160012, India.
Promila PandhiDepartment of Pharmacology, PGIMER, Chandigarh 160012, India.
Samir MalhotraDepartment of Pharmacology, PGIMER, Chandigarh 160012, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective. To generate data on the drug utilization pattern and cost of drug treatment and to determine the rationality of prescriptions. Methods. A retrospective cross-sectional drug utilization study was conducted in the medical emergency unit of our hospital. Patient case records were reviewed to extract data on the pattern of drug use. Cost of drug treatment for the emergency visit was calculated by referring to the cost mentioned in Monthly Index of Medical Specialties and the rationality of prescriptions was evaluated using WHO core indicators of drug utilization. Results. 1100 case records were reviewed. Majority of patients received proton pump inhibitors followed by multivitamins. The median cost per prescription was 119.23$ (7.32$-7663.46$). Majority (49.9%) of drug cost was driven by antibiotics alone. An average of 4.9 drugs was prescribed per prescription. There were 14.89% encounters with antibiotics. 75.17% of the drugs were given as injectables and only 29.27% of the drugs were prescribed as generics. Conclusion. There is need to rationalize the drug therapy in terms of increasing prescribing of drugs by generic name and to avoid overuse of PPIs and multivitamins in emergency unit. Also the hospital pharmacy should be encouraged to procure more cost effective alternative antibiotics in future.

Identifiers

PMID24883208
PMCPMC4026969

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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.