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The Impact of Collaborative Documentation on Person-Centered Care: Textual Analysis of Clinical Notes

The Impact of Collaborative Documentation on Person-Centered Care: Textual Analysis of Clinical Notes

One of the most dictionary-based approaches is LIWC (Linguistic Inquiry and Word Count), and LIWC analysis has been found to be particularly useful for identifying and analyzing the emotional state of individuals in mental health–related text data [26].

Victoria Stanhope, Nari Yoo, Elizabeth Matthews, Daniel Baslock, Yuanyuan Hu

JMIR Med Inform 2024;12:e52678

Artificial Intelligence–Based Co-Facilitator (AICF) for Detecting and Monitoring Group Cohesion Outcomes in Web-Based Cancer Support Groups: Single-Arm Trial Study

Artificial Intelligence–Based Co-Facilitator (AICF) for Detecting and Monitoring Group Cohesion Outcomes in Web-Based Cancer Support Groups: Single-Arm Trial Study

Previous studies demonstrate that a higher frequency of first-person singular pronouns use (ie, I, my), also referred to as “i Talk” or self-referential language, is a linguistic marker of general distress and is associated with negative psychological outcomes such as depression and suicidal behaviors [12-14].

Yvonne W Leung, Elise Wouterloot, Achini Adikari, Jinny Hong, Veenaajaa Asokan, Lauren Duan, Claire Lam, Carlina Kim, Kai P Chan, Daswin De Silva, Lianne Trachtenberg, Heather Rennie, Jiahui Wong, Mary Jane Esplen

JMIR Cancer 2024;10:e43070

Assessing GPT-4’s Performance in Delivering Medical Advice: Comparative Analysis With Human Experts

Assessing GPT-4’s Performance in Delivering Medical Advice: Comparative Analysis With Human Experts

Both the number of words and sentences per answer were significantly higher for GPT-4 answers than for human expert answers (word count: mean 190, SD 75.2 for GPT-4 vs mean 139, SD 95.6 for humans; P Linguistic difference between GPT-4 and human expert answers. Figure 2 presents an analysis of the medical accuracy between GPT-4 and human expert answers.

Eunbeen Jo, Sanghoun Song, Jong-Ho Kim, Subin Lim, Ju Hyeon Kim, Jung-Joon Cha, Young-Min Kim, Hyung Joon Joo

JMIR Med Educ 2024;10:e51282

News Media Framing of Suicide Circumstances and Gender: Mixed Methods Analysis

News Media Framing of Suicide Circumstances and Gender: Mixed Methods Analysis

This validated scale consists of linguistic descriptors of suicide. To derive the scale, Batterham et al [14] used principal component analysis of survey results from the public, rating 80 one-word descriptors of someone who dies by suicide to produce a list of words associated with stigmatization and glorification of suicide.

Jasmine C Foriest, Shravika Mittal, Eugenia Kim, Andrea Carmichael, Natalie Lennon, Steven A Sumner, Munmun De Choudhury

JMIR Ment Health 2024;11:e49879

An App-Based Physical Activity Intervention in Community-Dwelling Chinese-, Tagalog-, and Vietnamese-Speaking Americans: Single-Arm Intervention Study

An App-Based Physical Activity Intervention in Community-Dwelling Chinese-, Tagalog-, and Vietnamese-Speaking Americans: Single-Arm Intervention Study

This was a single-arm, 5-week (1-week run-in period and 4-week intervention period), pilot interventional study aimed to assess the feasibility and acceptability of a cultural and linguistic adaptation of an evidence-based mobile phone app with an accelerometer program to promote physical activity [25,26,28] among Asian Americans who speak Chinese, Tagalog, or Vietnamese. Study requirements were explained to participants and written consent was obtained.

Antony Nguyen, Filmer Yu, Linda G Park, Yoshimi Fukuoka, Ching Wong, Ginny Gildengorin, Tung T Nguyen, Janice Y Tsoh, Jane Jih

JMIR Form Res 2024;8:e56373

Linguistic Variables and Gender Differences Within a Messenger-Based Psychosocial Chat Counseling Service for Children and Adolescents: Cross-Sectional Study

Linguistic Variables and Gender Differences Within a Messenger-Based Psychosocial Chat Counseling Service for Children and Adolescents: Cross-Sectional Study

To date, there have been no attempts to examine the chat content of crisis counseling services with regard to their linguistic structure. For this purpose, anonymized chat messages from a messenger-based psychosocial chat counseling service, krisenchat (German for “crisis chat”), were used to examine (1) which linguistic indicators and gender differences can be identified within the messages of chat users and (2) how these linguistic indicators are associated with the presence of psychiatric symptoms.

Zeki Efe, Sabrina Baldofski, Elisabeth Kohls, Melanie Eckert, Shadi Saee, Julia Thomas, Richard Wundrack, Christine Rummel-Kluge

JMIR Form Res 2024;8:e51795

Behavioral Activation for Comorbid Depression in People With Noncommunicable Disease in India: Protocol for a Randomized Controlled Feasibility Trial

Behavioral Activation for Comorbid Depression in People With Noncommunicable Disease in India: Protocol for a Randomized Controlled Feasibility Trial

The purpose of this step was to ensure the BA intervention content and delivery were appropriate for the Indian NCD’s cultural, linguistic, and resource context. The initial content was based on treatment manuals and workbooks from previous adaptations of BA for multimorbidity and delivery by lay counselors in the United Kingdom [16] and India [17].

Rayeesa Zainab, Arun Kandasamy, Naseer Ahmad Bhat, Chrishma Violla Dsouza, Hannah Jennings, Cath Jackson, Papiya Mazumdar, Catherine Elizabeth Hewitt, David Ekers, Gitanjali Narayanan, Girish N Rao, Karen Coales, Krishna Prasad Muliyala, Santosh K Chaturvedi, Pratima Murthy, Najma Siddiqi

JMIR Res Protoc 2023;12:e41127

Sensing Psychological Well-being Using Social Media Language: Prediction Model Development Study

Sensing Psychological Well-being Using Social Media Language: Prediction Model Development Study

The LIWC is widely used in natural language processing for mapping the psychological and linguistic dimensions of written expression. In this research, we used the SC-LIWC, which reports 87 dimensions of language use in simplified Chinese [24].

Nuo Han, Sijia Li, Feng Huang, Yeye Wen, Xiaoyang Wang, Xiaoqian Liu, Linyan Li, Tingshao Zhu

J Med Internet Res 2023;25:e41823

Validation of a Remote and Fully Automated Story Recall Task to Assess for Early Cognitive Impairment in Older Adults: Longitudinal Case-Control Observational Study

Validation of a Remote and Fully Automated Story Recall Task to Assess for Early Cognitive Impairment in Older Adults: Longitudinal Case-Control Observational Study

Task characteristics are presented in Table S1 in Multimedia Appendix 1, showing that stories incorporate a range of themes and are balanced for key linguistic and discourse metrics. During clinical assessments, 3 long ASRT stories were administered consecutively. After each story was presented, participants were asked to immediately retell the story in as much detail as they could remember. Recall of the same stories, in the same order, was tested again after a delay.

Caroline Skirrow, Marton Meszaros, Udeepa Meepegama, Raphael Lenain, Kathryn V Papp, Jack Weston, Emil Fristed

JMIR Aging 2022;5(3):e37090