Les données en sciences humaines et sociales - Les Mercredis FILFOIE #4

Les données en sciences humaines et sociales - Les Mercredis FILFOIE #4

Data in Humanities and Social Sciences - FILFOIE Wednesdays #4

Humanities, Social Sciences & Thought Medicine & Health MBMedicineMBSMedical sociology
🎙 FILFOIE 👥 2K 📅 October 5, 2026 ⏱ 29 min 👁 32 📄 tutorial 🧭 2026-10-15
Available in: English (current) Français

Keywords

SHSqualitative researchquantitative researchpatient-reported outcomespsychometric scales

Summary

This webinar replay introduces viewers to the use of data in humanities and social sciences (SHS) within the health domain. It begins by defining SHS as an interdisciplinary field centered on human experiences and societal aspects, applied to health topics such as medical ethics, social inequalities, and doctor-patient relationships. The presentation distinguishes qualitative and quantitative research approaches: qualitative methods (interviews, focus groups, observations) aim for deep understanding with small samples, while quantitative methods (questionnaires, surveys, scales) seek to measure and quantify phenomena with larger samples. A major focus is placed on patient-reported outcomes (PROs), which capture patients’ perspectives on their health without clinician interpretation. The importance of using validated psychometric scales is highlighted, emphasizing the need to choose scales adapted to the population and condition, and to maintain consistency in longitudinal studies. The speaker explains how to measure PROs, interpret scores (e.g., PHQ-9), and use minimal clinically significant differences to assess meaningful changes. Practical examples, including comparisons with Eurostat population data, and references to French cohorts (Constance, LINKS) are provided. The session concludes with an invitation to the next webinar on data collection tools.

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Critical Evaluation

Value of the Information & Strength of the Argument

The value of this webinar lies in its clear, structured introduction to SHS data in health research, with concrete examples and practical guidance for researchers. The argumentation is solid: the speaker logically builds from definitions to measurement and interpretation, using a fictitious case to illustrate the clinical relevance of PROs. The distinction between statistical and clinical significance is well-explained, strengthening the credibility of the content. The emphasis on using validated scales and comparing with population norms is a valuable methodological principle. The presentation does not delve into advanced statistical methods but provides sufficient detail for a novice audience to grasp key concepts.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is adequate for an introductory webinar. The speaker references well-known instruments (PHQ-2, PHQ-9, GDS, EQ-5D) and the Eurostat European Health Interview Survey, which are respected sources. However, no specific journal articles or detailed references are cited, limiting verifiability. The title accurately reflects the content, which is entirely about data in SHS. The video is produced by a recognized health network (FILFOIE), adding institutional credibility. The presentation is internally consistent and avoids overclaims, though the lack of explicit citations to primary literature is a minor weakness.

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Title / Content Match

The title accurately describes the content: a focused presentation on data in humanities and social sciences within a health context.

Quality & Reliability

8/10

Content is well-structured and scientifically sound, delivered by a specialized health network (FILFOIE). The presentation clarifies key concepts (SHS, qualitative/quantitative, PRO, validated scales) with practical examples and references to standard tools (Eurostat data, PHQ-9, etc.). Some limitations: no explicit peer-reviewed citations or detailed methodology, but the pedagogical quality is high.

Key Moments

Cited Sources

Contribution & Novelties

This webinar provides a practical, accessible overview of how SHS data are used in health research, filling a gap for clinicians and researchers unfamiliar with qualitative methods and patient-reported outcomes. It emphasizes the importance of PROs in clinical trials and everyday practice, highlighting real-world implications. The discussion on minimal clinically significant difference offers a clear explanation of a concept often misunderstood. For further exploration, I suggest:

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Radar Profile

The profile shows moderate-to-high scores across all dimensions, with qualitative information and reliability being strongest. The video is strong on educational value and scientific soundness, but slightly weaker in sheer volume of content and technical depth, reflecting its introductory nature.

Reliability 8/10