Okay, here’s a breakdown of the key information from the provided text, organized for clarity.I’ll cover the study’s purpose, methods, findings, limitations, conclusions, funding, authorship, and publication details.
1. Study Overview
* Topic: Telehealth-based nutrition services for women with Polycystic Ovary Syndrome (PCOS).
* Purpose: To understand the lived experiences, barriers, and expectations of women with PCOS regarding platform-based telehealth nutrition services. The goal is to identify actionable targets for improving these services.
* Type of Study: Qualitative – focused on in-depth understanding of perspectives rather then numerical data.
2. Methods
* Participants: Women with PCOS (specific number not stated).
* Data Collection: semi-structured interviews.
* Analysis: Formal analysis of interview transcripts.
* Location: Peking Union Medical Collage Hospital (China).
* AI Use: ChatGPT was used solely for grammar and language editing, not for any aspect of the research itself (data analysis, interpretation, etc.).
3. Key Findings
* Appreciation for Convenience & accessibility: Participants valued the convenience and accessibility of digital nutrition interventions.
* Shortcomings of Current Models: Current telehealth nutrition models often fail to provide:
* Personalized care
* Metabolically tailored guidance
* Emotional support
* Actionable Targets:
* Data-driven personalization
* Embedded mental health support
* Proactive communication workflows
* Need for Integration: A move beyond generic dietary advice towards integrated, adaptive, and user-centered approaches is crucial.
4. Limitations
* limited Scope of Perspectives: The study only included patient perspectives; it did not include input from dietitians, endocrinologists, or platform developers.
* Lack of Objective Usage data: No data on how participants actually used the platforms (e.g., logins, task completion). Relied solely on self-reported narratives.
* Interviewer-Participant Gender Mismatch: One male interviewer interviewing female participants, possibly influencing disclosure (though mitigated by standardized interviewing techniques).
* Qualitative Nature: The study cannot establish cause-and-effect relationships.
5. Conclusions
* The study highlights the need for telehealth nutrition platforms to be more individualized, metabolically aware, and emotionally supportive.
* Collaboration between clinicians and developers is essential to create platforms that meet the complex needs of women with PCOS.
* Future research should be multi-stakeholder, involve intervention trials, and focus on scalable, evidence-based precision nutrition models.
6. Funding & Acknowledgements
* Funding Sources:
* National High-Level hospital Clinical Research Funding (No. 2025-PUMCH-C-004)
* Whole People Nutrition Research Fund (No. CNS-NNSRG2022-227)
* Funders had no role in the study’s design, data collection, analysis, or writing.
* Gratitude: Expressed to patients and clinical staff at Peking Union Medical College Hospital.
7. Authorship & Contributions
* HC & WC: conceptualized the study.
* HC, YW, & XF: Methodology, data collection (interviews), data analysis, writing the initial draft.
* XF & ZH: Validated the content.
* WC: Resources, supervision, funding acquisition, project administration.
* WC, FX, & ZH: reviewed and edited the manuscript.
* All authors approved the final manuscript.
8. Publication Details
* Journal: Journal of Medical Internet Research (JMIR)
* publication Date: October 28, 2025
* License: Creative Commons Attribution License (CC BY 4.0) – open access.
* Submission/Review Timeline:
* Submitted: May 19, 2025
* Peer Review Comments: September 4, 2025
* Revised Version Received: September 29, 2025
* Accepted: October 2, 2025
* Published: October 28, 2025
* DOI/URL: https://www.jmir.org (original publication)
* Data Availability: Datasets are available from the corresponding author upon reasonable request.
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