Evidence map›Paper›PMID 30679928›Full record

ArticleHIV/AIDS (Auckland, N.Z.)2019

The effectiveness of pictogram intervention in the identification and reporting of adverse drug reactions in naïve HIV patients in Ethiopia: a cross-sectional study.

Eyob Alemayehu Gebreyohannes, Akshaya Srikanth Bhagavathula, Tadesse Melaku Abegaz, Tamrat Befekadu Abebe, Sewunet Admasu Belachew, Henok Getachew Tegegn, Sarab M Mansoor

Abstract read
In one paragraph

Article in HIV/AIDS (Auckland, N.Z.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

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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.

Eyob Alemayehu GebreyohannesDepartment of Clinical Pharmacy, School of Pharmacy, University of Gondar-College of Medicine and Health Sciences, Gondar, Ethiopia, justeyob@gmail.com.
Akshaya Srikanth BhagavathulaDepartment of Clinical Pharmacy, School of Pharmacy, University of Gondar-College of Medicine and Health Sciences, Gondar, Ethiopia, justeyob@gmail.com.
Tadesse Melaku AbegazDepartment of Clinical Pharmacy, School of Pharmacy, University of Gondar-College of Medicine and Health Sciences, Gondar, Ethiopia, justeyob@gmail.com.
Tamrat Befekadu AbebeDepartment of Clinical Pharmacy, School of Pharmacy, University of Gondar-College of Medicine and Health Sciences, Gondar, Ethiopia, justeyob@gmail.com.
Sewunet Admasu BelachewDepartment of Clinical Pharmacy, School of Pharmacy, University of Gondar-College of Medicine and Health Sciences, Gondar, Ethiopia, justeyob@gmail.com.
Henok Getachew TegegnDepartment of Clinical Pharmacy, School of Pharmacy, University of Gondar-College of Medicine and Health Sciences, Gondar, Ethiopia, justeyob@gmail.com.
Sarab M MansoorSchool of Pharmacy, Faculty of Medicine and Health, The University of Sydney, NSW, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn health communication, pictogram has a comprehensive place to aid attention, memory recall, and promote adherence. This study was conducted to assess whether pictorial intervention would help to identify and improve adverse drug reactions (ADRs) reporting in an antiretroviral therapy (ART) clinic in Northwest Ethiopia. PATIENTS AND

methodsA cross-sectional study on ART-naïve HIV-positive patients was conducted from July 2015 to January 2016. The patients were randomly categorized into two groups. Group A was subjected to receive pictorial medication information and a pictogram-enhanced tool to identify and report ADRs, while group B did not receive any pictogram-enhanced tool.

resultsA total of 207 ART-naïve HIV-positive patients who were registered for the ART treatment attending Gondar University Hospital ART clinic were included. Bivariate analysis showed that sociodemographic characteristics, such as age, sex, education, employment, and marital status were the main predictors of identifying and reporting ADRs. Males were twice more likely to identify ADRs than females. Univariate analysis revealed that patients assigned to group A showed a significant association with the ability to identify ART medications using pictograms. Patients assigned to group A were more likely to identify lamivudine (OR [95% CI] =7.536 [4.042-14.021],

conclusionThe use of pictorial representation resulted in only slight improvement in identification and reporting of ADRs among naïve HIV-positive patients with limited literacy in Northwest Ethiopia. This representation of ADRs merits further investigation with regard to ADR identification and promoting patients' safety, particularly for HIV-positive patients with limited educational levels.

Indexed as

ADRAIDSEthiopiaGondarHAARTHIVpictogram

Identifiers

PMID30679928
PMCPMC6338108

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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.