Evidence map›Paper›PMID 29482618›Full record

ArticleBMC health services research2018

Readability of written medicine information materials in Arabic language: expert and consumer evaluation.

Sinaa Al Aqeel, Norah Abanmy, Abeer Aldayel, Hend Al-Khalifa, Maha Al-Yahya, Mona Diab

Abstract read
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Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Sinaa Al AqeelClinical Pharmacy Department, College of Pharmacy, King Saud University, Riyadh, Kingdom of Saudi Arabia. salageel@ksu.edu.sa.ORCID 0000-0003-0571-7230
Norah AbanmyClinical Pharmacy Department, College of Pharmacy, King Saud University, Riyadh, Kingdom of Saudi Arabia.
Abeer AldayelInformation Technology Department, College of Computer and Information Sciences, King Saud University, Riyadh, Kingdom of Saudi Arabia.
Hend Al-KhalifaInformation Technology Department, College of Computer and Information Sciences, King Saud University, Riyadh, Kingdom of Saudi Arabia.
Maha Al-YahyaInformation Technology Department, College of Computer and Information Sciences, King Saud University, Riyadh, Kingdom of Saudi Arabia.
Mona DiabDepartment of Computer Science, SEAS, The George Washington University, Washington, USA.

Funding

This Project was funded by the National Plan for Science, Technology and Innovation (MAARIFAH), King Abdul-Aziz City for Science and Technology, Kingdom of Saudi Arabia INF 2822
6 · The paper itself

Abstract

backgroundWritten Medicine Information (WMI) is one of the sources that patients use to obtain information concerning medicine. This paper aims to assess the readability of two types of WMIs in Arabic language based on vocabulary use and sentence structure using a panel of experts and consumers.

methodsThis is a descriptive study. Two different types of materials, including the online text from King Abdullah Bin Abdulaziz Arabic Health Encyclopaedia (KAAHE) and medication leaflets submitted by the manufacturers to the Saudi Food and Drug Authority (SFDA) were evaluated. We selected a group of sentences from each WMI. The readability was assessed by experts (n = 5) and consumers (n = 5). The sentence readability of each measured using a specific criteria and rated as 1 = easy, 2 = intermediate, or 3 = difficult.

resultsA total of 4476 sentences (SFDA 2231; KAHEE 2245) extracted from websites or patient information leaflets on 50 medications and evaluated. The majority of the vocabulary and sentence structure was considered easy by both expert (SFDA: 68%; KAAHE: 76%) and consumer (SFDA: 76%; KAAHE: 84%) groups. The sentences with difficult or intermediate vocabulary and sentence structure are derived primarily from the precautions and side effects sections.

conclusionsThe SFDA and KAAHE WMIs are easy to read and understand as judged by our study sample. However; there is room for improvement, especially in sections related to the side effects and precautions.

Indexed as

ComprehensionConsumer Health InformationLanguagePatient Education as TopicHealth Services ResearchHumansInternetPamphletsSaudi ArabiaVocabularyAnnotationArabic LanguageConsumer Health InformationPatient educationReadability

Identifiers

PMID29482618
PMCPMC5828313

What OpenQuestion holds

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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.