Evidence map›Paper›PMID 31321037›Full record

ArticleJournal of pharmaceutical policy and practice2019

Assessment of prescription pattern and prescription error in outpatient Department at Tertiary Care District Hospital, Central Nepal.

Rajeev Shrestha, Srijana Prajapati

Abstract read
In one paragraph

Article in Journal of pharmaceutical policy and practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  19. Prescribing pattern of antibiotics by family physicians in primary health care.Journal of pharmaceutical policy and practice · 2023
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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

2 authors.

Rajeev ShresthaDepartment of Pharmacy, Bharatpur District Hospital, kuber marga, Bhagawaoti Tol, Bharatpur-04, Chitwan, Nepal.ORCID 0000-0003-1822-3969
Srijana PrajapatiDepartment of Pharmacy, Bharatpur District Hospital, kuber marga, Bhagawaoti Tol, Bharatpur-04, Chitwan, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe rational use of medicine improves patient's quality of life. Excessive and inappropriate prescriptions result in severe consequences. The study of drug use patterns and prescription errors is necessary to promote rational drug use in developing countries. The aim of the study was to evaluate prescription practice and help to the quality use of medicine.

methodsA retrospective, cross-sectional and quantitative study was conducted at Bharatpur District Hospital in central Nepal. The outpatient prescriptions retained at the pharmacy from November to December 2017 were used to evaluate prescription patterns and errors. The total of 770 prescriptions were reviewed. The stratified random sampling method was used.

resultThe total of 2448 drugs were prescribed in 770 prescriptions or patients. The average number of drugs per encounter was 3.2. The percentage of encounter with antibiotic and injection was 37.9% (

conclusionThe study shows low compliance with WHO prescribing indicators and high prescription errors. The prescribing practices were not confirmed to the standard recommended by WHO. Prescribing from the Essential Drug List (EDL), low rates of generic prescribing, high antibiotic prescribing and polypharmacy were a major problem. The study found major errors in prescriber and prescribed medicine details. Remarkable drug interactions were seen in prescribed medicines. The study recommended necessary practices and policy formulation and implementation by DTC and regulatory bodies to promote the rational use of medicine.

Indexed as

Hospital pharmacyPrescription errorPrescription patternWHO indicators

Identifiers

PMID31321037
PMCPMC6617589

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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.