Evidence map›Paper›PMID 39135703›Full record

ArticleHealth science reports2024

Comparative analysis of prescription patterns and errors in government versus private hospitals in Dhaka: A cross-sectional study.

Md Abdus Samad, K M Yasif Kayes Sikdar, Ashfia Tasnim Munia, Farhan Tanvir Patwary, Md Raihan Sarkar, Md Rashidul Islam Rashed

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Article in Health science reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Md Abdus SamadDepartment of Pharmacy, Faculty of Pharmacy University of Dhaka Dhaka Bangladesh.ORCID 0000-0002-8287-5454
K M Yasif Kayes SikdarDepartment of Pharmaceutical Technology, Faculty of Pharmacy University of Dhaka Dhaka Bangladesh.ORCID https://orcid.org/0000-0003-4958-2745
Ashfia Tasnim MuniaInstitute of Statistical Research and Training University of Dhaka Dhaka Bangladesh.
Farhan Tanvir PatwaryDepartment of Pharmacy University of Asia Pacific Dhaka Bangladesh.ORCID 0000-0002-4726-9475
Md Raihan SarkarDepartment of Pharmaceutical Technology, Faculty of Pharmacy University of Dhaka Dhaka Bangladesh.
Md Rashidul Islam RashedDepartment of Pharmaceutical Technology, Faculty of Pharmacy University of Dhaka Dhaka Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Prescription errors can inadvertently compromise the effectiveness and increase the risk of adverse events. This study aims to compare prescription patterns and errors between government and private hospitals in Dhaka, Bangladesh, by evaluating the World Health Organization (WHO) prescription indicators, polypharmacy, and omission errors. Methods: Between September 2021 and November 2021, a total of 399 prescriptions were collected from outpatient departments of various government and private hospitals from patients or their attendants. The data were analyzed using the statistical package STATA 15. Chi-square and Fisher's exact test were employed to determine associations ( Results: Of the collected prescriptions, 48% ( Conclusion: Both government and private hospitals exhibited similar deviations from the WHO prescribing indicators. While government hospitals showed more omission errors, private hospitals exhibited higher rates of polypharmacy. Physicians in both types of hospitals should be vigilant about omission errors, maintain the WHO prescribing indicators, and minimize polypharmacy.

Indexed as

inscriptionspolypharmacyPrescription patterns and errorssubscriptionssuperscriptions

Identifiers

PMID39135703
PMCPMC11318024

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