Objective: to evaluate articles on depression published in popular magazines with respect to understandability, reliability, and actionability. To determine whether these articles can educate patients. To investigate whether the Clear Communication Index (CCI), developed to assess the quality of patient education materials produced by the medical sector, can be used to evaluate articles published in popular magazines.

Methods: The sample consists of 81 articles from 24 different Flemish and Dutch popular magazines. The articles were evaluated using the CCI. Correlational and -test analyses were performed on the data.

Results: No more than one-fifth of all articles were found to be of quality. Significant positive correlations were found between actionability, reliability, and understandability. No significant differences were found between health magazines and other more generally oriented magazines.

Conclusion: Overall, our findings demonstrate the relative lack of power as patient educational materials of articles on depression published in popular magazines for people with low or average mental health literacy levels.

Innovation: Using the Clear Communication Index, the quality of Dutch medium popular magazine articles on depression are analyzed. The study design allowed for the comparison of different types of magazines. Health magazines do no score better than generally-focused magazines.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10194407PMC
http://dx.doi.org/10.1016/j.pecinn.2022.100099DOI Listing

Publication Analysis

Top Keywords

popular magazines
16
articles depression
12
published popular
12
understandability reliability
8
reliability actionability
8
articles
8
evaluate articles
8
depression published
8
clear communication
8
health magazines
8

Similar Publications

Context: Recent research has revealed significant advancements in the field of traditional Chinese medicine (TCM) for skin diseases. However, there is a lack of visualization analysis within this research domain.

Objective: To analyze the research directions and advancements in TCM research in skin diseases.

View Article and Find Full Text PDF

Stanislav Iosofatovich Zalesky - the first head of the Department of General Medical Chemistry of the Imperial Tomsk University (currently the Department of Chemistry of the Siberian State Medical University), a versatile scientist and public figure, acknowledged expert in medical, chemical, hydrogeological and balneological sciences. Professor S.I.

View Article and Find Full Text PDF

Health-Related Messages About Herbs, Spices, and Other Botanicals Appearing in Print Issues and Websites of Legacy Media: Content Analysis and Evaluation.

JMIR Form Res

December 2024

Department of Environmental, Occupational, and Geospatial Health Sciences, Graduate School of Public Health and Health Policy, City University of New York, New York, NY, United States.

Background: Legacy media are publications that existed before the internet. Many of these have migrated to a web format, either replacing or in parallel to their print issues. Readers place an economic value on access to the information presented as they pay for subscriptions and place a higher degree of trust in their content.

View Article and Find Full Text PDF

has issued eighty papers on Chinese stomatology history in seventy years. According to three stages of the journal,statistics of the quantity and themes of the issued papers are compiled: the number of issued papers increased while the theme shifted from Chinese stomatology history before 1912 to Chinese contemporary stomatology history. Research methods shifted from the comparatively scanty summary or induction on literature and cultural relics materials to multidisciplinary approaches.

View Article and Find Full Text PDF

Quantifying the Scope of Artificial Intelligence-Assisted Writing in Orthopaedic Medical Literature: An Analysis of Prevalence and Validation of AI-Detection Software.

J Am Acad Orthop Surg

January 2025

From the Department of Orthopaedic Surgery, University Hospitals of Cleveland, Case Western Reserve University, Cleveland, OH (Porto, Morgan, Hecht, Burkhart, and Liu), and the Case Western Reserve University School of Medicine, Cleveland, OH (Porto, Morgan, and Hecht).

Introduction: The popularization of generative artificial intelligence (AI), including Chat Generative Pre-trained Transformer (ChatGPT), has raised concerns for the integrity of academic literature. This study asked the following questions: (1) Has the popularization of publicly available generative AI, such as ChatGPT, increased the prevalence of AI-generated orthopaedic literature? (2) Can AI detectors accurately identify ChatGPT-generated text? (3) Are there associations between article characteristics and the likelihood that it was AI generated?

Methods: PubMed was searched across six major orthopaedic journals to identify articles received for publication after January 1, 2023. Two hundred and forty articles were randomly selected and entered into three popular AI detectors.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!