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Rapid Estimate of Adult Literacy in Medicine -Lebanese Version (Arabic)

Characteristics

Domains assessed: Prose: Pronunciation
Specific context: General
Validation sample population age: Adults: 18 to 64 years
Modes of administration in validation study: Face-to-face

Psychometrics

Number of items: 8
Sample size in validation study: 230
Administration Time (minutes): 2 minutes
Language of validated version: Arabic

Main article reference

Fadda, M., Kanj, M., Kabakian-Khasholian, T., & Johannes Schulz, P. (2018). Validation of three Arabic health literacy assessment tools in Lebanon. Health Promotion International, 33(2), 261-267.

Link to article

Corresponding author

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Marta Fadda
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Institute of Communication and Health, Faculty of Communication Science, University of Lugano, Via G. Buffi 13, Lugano, Switzerland
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Description

A tool to assess adult health literacy among the Lebanese population.

Year Measure first Published: 2016

About This Measure

Categorical scoring: Yes
Scoring categories: Concerning the REALM-R, we adopted the scoring system suggested by the authors (Bass et al., 2003). The first three words (fat, flu, and pill) were not counted toward the final scoring and 1 point was given for each correct answer, with a final score of 8.

About the Validation of this Measure

Country where validated: Lebanon
Content validity: The development of the tool involved an independent translation from English into Arabic by an independent Arabic native speaker, and later back-translated by a second translator to establish semantic equivalence. Formal comparison between the two English versions (the original and the result of the back-translation) followed. The adaptation of the tool incorporated changes to reflect the experience patients in the Lebanon health system within the target context. Revision followed the adaptation of the tool, which were finally evaluated by a professional Arabic instructor for clarity and comprehensiveness. Tool development also included pre-testing.
Reliability (Cronbach Alpha): 0.46
Reliability notes: REALM-R showed lower internal consistency (α = .46) and was therefore excluded from the following analyses.
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