Data Sheet 1_How to culturally adapt mental mHealth apps: lessons from an Australian Arabi
by Noorah Ibrahim S. Alnaghaimshi·Updated 18d ago
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Description
219 first-generation Arabic-speaking migrants in Australia, aged 18–75, participated in an online survey on mental health perceptions and mHealth app use. The study, authored by Noorah Ibrahim S. Alnaghaimshi and last updated in May 2026, provides formative evidence for designing culturally adapted mental health apps. It includes quantitative results on app awareness and qualitative insights into desired religious and cultural features.
Use Cases
Identify key cultural and religious features for mHealth app design based on survey responses about desired content.
Analyze barriers to mental mHealth app adoption based on reported low awareness and usage rates.
Inform user experience design for migrant communities based on expressed preferences for confidentiality, free access, and professional development.
Develop faith-based digital therapeutic content based on the high value placed on practices like Dua’a and Tadabbur.
Strengths
Includes responses from 219 participants, providing a defined sample size.
Contains both quantitative data (e.g., 76.3% used internet for mental health info) and qualitative open-ended responses.
Explicitly focuses on a specific demographic: first-generation Arabic-speaking migrants in Australia aged 18-75.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count for the underlying data is unknown, which may limit suitability assessment.
The 748.9 KB file size suggests the primary content is a document summarizing findings, not the raw dataset.
Provenance
Source
figshare, author Noorah Ibrahim S. Alnaghaimshi.
Collection Method
Online survey conducted among participants recruited from non-clinical community settings.
Time Range
Survey period not specified; dataset metadata updated 2026.
Freshness
Last updated 2026-05-19 05:45:32; freshness should be verified.
Geography
Australia, focusing on Arabic-speaking migrant communities.
Primary file is a DOCX document (748.9 KB); the raw survey data may not be included.