Evidence map›Paper›PMID 33059613›Full record

ArticleBMC pregnancy and childbirth2020

Patterns and determinants of prescribed drug use among pregnant women in Adigrat general hospital, northern Ethiopia: a cross-sectional study.

Niguse Meles Alema, Getachew Semagn, Shetey Melesse, Ephrem Mebrahtu Araya, Hagazi Gebremedhin, Desalegn Getnet Demsie, Solomon Weldegebreal Asgedom, Etasy Weldekidan

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Niguse Meles AlemaDepartment of Pharmacy, College of Medicine and Health Sciences, Adigrat University, P.O.Box: 50, Adigrat, Ethiopia. nigusemeles@gmail.com.ORCID http://orcid.org/0000-0003-3439-4688
Getachew SemagnDepartment of Pharmacy, College of Medicine and Health Sciences, Adigrat University, P.O.Box: 50, Adigrat, Ethiopia.
Shetey MelesseDepartment of Pharmacy, College of Medicine and Health Sciences, Adigrat University, P.O.Box: 50, Adigrat, Ethiopia.
Ephrem Mebrahtu ArayaDepartment of Pharmacy, College of Medicine and Health Sciences, Adigrat University, P.O.Box: 50, Adigrat, Ethiopia.
Hagazi GebremedhinDepartment of Pharmacy, College of Medicine and Health Sciences, Adigrat University, P.O.Box: 50, Adigrat, Ethiopia.
Desalegn Getnet DemsieDepartment of Pharmacy, College of Medicine and Health Sciences, Adigrat University, P.O.Box: 50, Adigrat, Ethiopia.
Solomon Weldegebreal AsgedomDepartment of Clinical Pharmacy, School of Pharmacy, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Etasy WeldekidanDepartment of Pharmacy, College of Medicine and Health Sciences, Adigrat University, P.O.Box: 50, Adigrat, Ethiopia.
Adigrat University · ETMekelle University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA vigilant prescription of drugs during pregnancy can potentially safeguard the growing fetus from the deleterious effect of the drug while attempting to manage the mother's health problems. There is a paucity of information about the drug utilization pattern in the area of investigation. Hence, this study was implemented to investigate the pattern of drug utilization and its associated factors among pregnant women in Adigrat general hospital, Northern Ethiopia.

methodsAn institution-based cross-sectional study was conducted among randomly selected 314 pregnant women who attended obstetrics-gynecology and antenatal care units of the hospital. Relevant data were retrieved from the pregnant women's medical records and registration logbook. The drugs prescribed were categorized based on the United States Food and Drug Administration (US-FDA) fetal harm classification system. Data analysis was done using SPSS version 20 statistical software. Multivariate logistic regression was employed to analyze the association of the explanatory variables with the medication use, and p < 0.05 was declared statistically significant.

resultsThe overall prescribed drug use in this study was found to be 87.7%. A considerable percentage of the study participants (41.4%) were prescribed with supplemental drugs (iron folate being the most prescribed drug) followed by antibiotics (23.4%) and analgesics (9.2%). According to the US-FDA drug's risk classification, 42.5, 37, 13, and 7% of the drugs prescribed were from categories A, B, C, and D or X respectively. Prescribed drug use was more likely among pregnant women who completed primary [AOR = 5.34, 95% CI (1.53-18.6)] and secondary education [AOR = 4.1, 95% CI (1.16-14)], who had a history of chronic illness [AOR = 7.9, 95% CI (3.14-19.94)] and among multigravida women [AOR = 2.9, 95% CI (1.57 5.45)].

conclusionsThe finding of this study revealed that a substantial proportion of pregnant women received drugs with potential harm to the mother and fetus. Reasonably, notifying health practitioners to rely on up-to-date treatment guidelines strictly is highly demanded. Moreover, counseling and educating pregnant women on the safe and appropriate use of medications during pregnancy are crucial to mitigate the burden that the mother and the growing fetus could face.

Indexed as

AdolescentAdultCross-Sectional StudiesDrug PrescriptionsDrug UtilizationEthiopiaFemaleGuideline AdherenceHospitals, GeneralHumansPractice Guidelines as TopicPractice Patterns, Physicians'PregnancyPregnancy ComplicationsPrenatal CarePrescription DrugsPrescription DrugsAdigrat hospitalDeterminantsDrug useFDA risk classificationPregnancy

Identifiers

PMID33059613
PMCPMC7558672
OpenAlexW3092842580

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.