Evidence map›Paper›PMID 32127805›Full record

ArticleAfrican health sciences2019

Antibiotics prescription pattern and determinants of utilization in the national health insurance scheme at a Tertiary Hospital in Nigeria.

Roland Nnaemeka Okoro, Chijioke Nmeka, Patrick O Erah

Abstract read
In one paragraph

Article in African health sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Observational
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  11. Editorial.African health sciences · 2019
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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

3 authors.

Roland Nnaemeka OkoroDepartment of Clinical Pharmacy and Pharmacy Administration, Faculty of Pharmacy, University of Maiduguri, P.M.B 1069, Maiduguri, 600230, Borno State(Nigeria).
Chijioke NmekaDepartment of Pharmaceutical Services, University of Nigeria Teaching Hospital, Ituku-Ozalla, Enugu (Nigeria).
Patrick O ErahDepartment of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, University of Benin, Benin City (Nigeria).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSubsidizing the cost of medicines through insurance schemes increases consumption of medicines and may contribute to irrational use of antibiotics.

objectivesTo describe the systemic antibiotics prescriptions patterns and analyze the determinants of their utilization in the National Health insurance Scheme (NHIS).

methodsEstablished WHO guideline was followed to conduct this cross-sectional retrospective study at University of Nigeria Teaching Hospital, Nigeria. Data were collected from randomly sampled prescription sheets of one year duration. Logistic regression analysis was performed to determine the predictors of antibiotics prescriptions.

resultsThe results are based on 802 sampled out-patients NHIS prescriptions. Average number of medicines per encounter was 4.0 ± 1.8, whereas 46.9% of antibiotics were prescribed by generic name. Penicillins (most frequently amoxicillin/clavulanate), and nitroimidazole (most frequently metronidazole) were the most commonly prescribed antibiotics with percentage share of 43.3% and 22.2%. Being <5 years old, and taking more than 4 medicines (OR 2.20, 95% CI 1.37-3.55) were the factors associated with the highest risk of antibiotics exposure.

conclusionThere were poly-pharmacy, and non-adherence to generic antibiotic prescriptions. Penicillins (amoxicillin/clavulanate) were the most commonly prescribed antibiotic class. Being < 5 years old, and taking more than 4 medicines were significant predictors of antibiotics exposure.

Indexed as

Drug UtilizationNational Health ProgramsTertiary Care CentersAdolescentAdultAnti-Bacterial AgentsChildChild, PreschoolCross-Sectional StudiesDrug PrescriptionsFemaleHumansMaleMiddle AgedNigeriaRetrospective StudiesAnti-Bacterial AgentsAntibioticsnational health insurance schemeNigeriapoly-pharmacyprescription

Identifiers

PMID32127805
PMCPMC7040270

What OpenQuestion holds

Textmetadata
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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.