Evidence map›Paper›PMID 33564747›Full record

ArticleAdvances in pharmacological and pharmaceutical sciences2021

Core Prescribing Indicators and the Most Commonly Prescribed Medicines in a Tertiary Health Care Setting in a Developing Country.

Priyadarshani Galappatthy, Priyanga Ranasinghe, Chiranthi K Liyanage, Maheshi Wijayabandara, Dinuka S Warapitiya, Dilini Jayasekara, Raveendra L Jayakody

Abstract read
In one paragraph

Article in Advances in pharmacological and pharmaceutical sciences, 2021. 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.

  1. Pooled it
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  9. Evaluating drug use patterns among paediatric outpatients in Burundi.Journal of pharmaceutical policy and practice · 2024
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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.

Priyadarshani GalappatthyDepartment of Pharmacology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.ORCID https://orcid.org/0000-0002-9279-9053
Priyanga RanasingheDepartment of Pharmacology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.ORCID https://orcid.org/0000-0002-1522-9276
Chiranthi K LiyanageDepartment of Pharmacology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.ORCID https://orcid.org/0000-0002-3362-4202
Maheshi WijayabandaraDepartment of Pharmacology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.
Dinuka S WarapitiyaDepartment of Pharmacology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.ORCID https://orcid.org/0000-0003-2169-0760
Dilini JayasekaraDepartment of Pharmacology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.ORCID https://orcid.org/0000-0003-2430-7376
Raveendra L JayakodyDepartment of Pharmacology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka.ORCID https://orcid.org/0000-0002-1912-8843

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Irrational prescribing is common, especially in developing countries. It is important to identify the magnitude of irrational use, to take necessary steps to promote rational prescribing. We identified core prescribing indicators and commonly prescribed medicines at ward settings (IW) and outpatients' clinics (OPC) in a tertiary care hospital in Sri Lanka. A descriptive cross-sectional study was carried out at IW and OPC settings. Prescriptions were obtained from 5 major specialties (Clinical Medicine (CM), Gynaecology and Obstetrics (GO), Paediatrics, Psychiatry, and Surgery). The WHO core prescribing indicators were used to describe the pattern of prescribing, and the most commonly prescribed medicines were identified. A total of 1,318 prescriptions were analyzed. The five most commonly prescribed medicines were paracetamol (31.0%), omeprazole (20.6%), folic acid (18.3%), atorvastatin (16.2%), and salbutamol (15.3%). The average number of medicines per encounter was 4.8 ± 3.6 (IW: 5.7 ± 4; OPC: 3.8 ± 2.8;

Identifiers

PMID33564747
PMCPMC7867447

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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.