An Accessible Web-Based Survey to Monitor the Mental Health of People With Mild Intellectual Disability or Low Literacy Skills During the COVID-19 Pandemic: Comparative Data Analysis.
Monique Cj Koks-LeensenAnouk MenkoFieke RaaijmakersGerdine Aj Fransen-KuppensKirsten E BevelanderPublished in: JMIR public health and surveillance (2024)
General COVID-19-related restrictions for the entire Dutch population affected people with MID or low literacy skills more negatively than the general population. Our study underscores the relevance of including these subpopulations in public health research because they are often overlooked in regular health data. An accessible web-based survey particularly targeted at this population enabled us to do so, and we reached a group of respondents significantly different from regular survey participants. This survey's results provided insights into the health of people with MID or low literacy skills and gained knowledge to be used by care organizations and policy makers to reduce health disparities during a pandemic and in general.
Keyphrases
- mental health
- healthcare
- health information
- public health
- intellectual disability
- data analysis
- coronavirus disease
- cross sectional
- sars cov
- autism spectrum disorder
- mental illness
- social media
- medical students
- health promotion
- machine learning
- emergency department
- big data
- cancer therapy
- deep learning
- climate change
- drug delivery
- human health
- affordable care act
- artificial intelligence