Evidence map›Paper›PMID 37798686›Full record

ArticleBMC public health2023

Comprehension of prescription orders with and without pictograms: tool validation and comparative assessment among a sample of participants from a developing country.

Nisreen Mourad, Samar Younes, Lidia Mourad, Iqbal Fahs, Shatha Mayta, Racha Baalbaki, Wassim El Basset, Mariam Dabbous, Marwan El Akel, Jihan Safwan and 3 more

Abstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
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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

13 authors.

Nisreen MouradSchool of Pharmacy, Lebanese International University, Bekaa, Lebanon. nisreen.mourad@liu.edu.lb.
Samar YounesSchool of Pharmacy, Lebanese International University, Bekaa, Lebanon.
Lidia MouradSchool of Pharmacy, Lebanese International University, Bekaa, Lebanon.
Iqbal FahsSchool of Pharmacy, Lebanese International University, Beirut, Lebanon.
Shatha MaytaSchool of Pharmacy, Lebanese International University, Bekaa, Lebanon.
Racha BaalbakiSchool of Pharmacy, Lebanese International University, Bekaa, Lebanon.
Wassim El BassetSchool of Pharmacy, Lebanese International University, Bekaa, Lebanon.
Mariam DabbousSchool of Pharmacy, Lebanese International University, Beirut, Lebanon.
Marwan El AkelINSPECT-LB: Institut National de Santé Publique, Épidémiologie Clinique et Toxicologie-Liban, Beirut, Lebanon.
Jihan SafwanINSPECT-LB: Institut National de Santé Publique, Épidémiologie Clinique et Toxicologie-Liban, Beirut, Lebanon.
Faraj SaadeSchool of Pharmacy, Lebanese International University, Beirut, Lebanon.
Mohamad RahalSchool of Pharmacy, Lebanese International University, Bekaa, Lebanon.
Fouad SakrINSPECT-LB: Institut National de Santé Publique, Épidémiologie Clinique et Toxicologie-Liban, Beirut, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedication errors can often occur due to the patient's inability to comprehend written or verbal medication orders. This study aimed to develop pictograms of selected medication orders and to validate the comprehension of prescription orders index and compare the comprehension scores with and without pictograms. In addition to determine the predictors that could be associated with a better or worse comprehension of prescription orders with pictograms versus that of their written counterparts.

methodsA cross-sectional study was conducted using a snowball sampling technique. Six pictograms were developed to depict specific medication orders. The comprehension of prescription orders index was constructed and validated. The study then compared the comprehension scores of prescription orders with and without pictograms, and identified the predicting factors score difference.

resultsA total of 1848 participants were included in the study. The structure of the comprehension of prescription orders index was validated over a solution of four factors, with an adequate Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy of 0.711 and a significant Bartlett's test of sphericity (P < 0.001). The construct validity of the index was further confirmed by highly significant correlations between each item and the full index (P < 0.001). The study also found a significant association between the difference in comprehension scores for prescription orders with and without pictograms and several factors, including age, level of education, area of residence, number of children, and smoking status with the difference of comprehension scores (P < 0.001).

conclusionPictogram-based instructions of medication orders were better understood by the Lebanese population than written instructions, making the incorporation of pictograms in pharmacy practice paramount to optimize medication use by the patient and thus yielding better health outcomes.

Indexed as

ComprehensionDeveloping CountriesChildCross-Sectional StudiesEducational StatusHumansPrescriptionsComprehensionHealthcareHealth literacyMedication errorsMedication ordersMedication safetyPatient educationPictograms

Identifiers

PMID37798686
PMCPMC10552214

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