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Exploring Nonresponse to Botulinum Toxin in Aesthetics: Narrative Review of Key Trigger Factors and Effective Management Strategies

Exploring Nonresponse to Botulinum Toxin in Aesthetics: Narrative Review of Key Trigger Factors and Effective Management Strategies

Nonresponse or resistance to botulinum toxin type A (Bo NT-A) has become an increasingly significant concern in the field of aesthetics, particularly since younger patients—who are increasingly opting for aesthetic procedures—accumulate greater total toxin doses over their lifetime. Resistance has been noted even with low Bo NT-A doses in aesthetic treatments [1].

George Kroumpouzos, Fernando Silikovich

JMIR Dermatol 2025;8:e69960

The Safety of Digital Mental Health Interventions: Findings and Recommendations From a Qualitative Study Exploring Users’ Experiences, Concerns, and Suggestions

The Safety of Digital Mental Health Interventions: Findings and Recommendations From a Qualitative Study Exploring Users’ Experiences, Concerns, and Suggestions

DMHI’s users face similar risks to those in face-to-face therapy, such as deterioration in symptoms, novel symptoms (experiencing new mental health symptoms during treatment), and nonresponse [1]. Deterioration of symptoms, observed in approximately 3%-10% of psychotherapy cases [7,8], signifies a phenomenon where patients’ conditions worsen during therapy. Deterioration is the most common side effect of mental health therapies (face to face and digital) [1].

Rayan Taher, Daniel Stahl, Sukhi Shergill, Jenny Yiend

JMIR Hum Factors 2025;12:e62974

Unit Response and Costs in Web Versus Face-To-Face Data Collection: Comparison of Two Cross-sectional Health Surveys

Unit Response and Costs in Web Versus Face-To-Face Data Collection: Comparison of Two Cross-sectional Health Surveys

Logistic regression analysis showed that unit nonresponse was significantly higher in the web study compared to the F2 F study (OR 3.53, 95% CI 3.18-3.91; Table 2: basic model). The basic model also showed that some sociodemographic characteristics (ie, education level, nationality, household size, urbanicity) were significantly associated with nonresponse.

Elise Braekman, Stefaan Demarest, Rana Charafeddine, Sabine Drieskens, Finaba Berete, Lydia Gisle, Johan Van der Heyden, Guido Van Hal

J Med Internet Res 2022;24(1):e26299