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Trade-offs in mental health support: Preferred patient-centered communication attributes across AI chatbots, telemedicine, online health communities, and in-person clinicians

Author

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  • Neuendorf, Nathalie Laura
  • Angermayr, Katharina
  • Scherr, Sebastian

Abstract

Mental health support now extends beyond in-person clinicians, search engines, and medical websites to interactive healthcare providers (IHPs), including AI chatbots, telemedicine (i.e., digital clinicians), and online health communities. Two preregistered U.S. studies examined how patient-centered communication (PCC) attributes shape preferences for mental health support. Study 1 (N = 414, U.S. quota sample, fielded August – September 2025) used Best–Worst Scaling (BWS) to rank eight attributes in each of three domains (informational, interpersonal, and community-based), selecting the top two per domain for Study 2. Study 2 (N = 1,011, U.S. representative sample, fielded September 2025) used a Discrete Choice Experiment (DCE) testing these six attributes in trade-off decisions. Study 2 revealed provider-specific preferences. Extendedsupportbeyond the consultation and multi-symptom assessment capabilities were most salient for in-person clinicians. Multi-symptom assessment capabilities and reflective attentiveness and listening skills stood out for IHPs. We also tested for the moderating effects of faith-based thriving as it gains relevance in patient-centered mental health communication. Moderation analyses indicated a provider-specific pattern: higher faith-based thriving was associated with a stronger preference for scope and help provided when using AI chatbots and a stronger preference for community-based assistance when talking to a digital clinician. Taken together, these findings suggest a complementary care model: those designing and delivering mental health support through IHPs should prioritize robust multi-symptom assessment and reflective listening, while in-person clinicians should prioritize support beyond the consultation. Faith-based thriving findings further highlight the need for group-sensitive mental health communication.

Suggested Citation

  • Neuendorf, Nathalie Laura & Angermayr, Katharina & Scherr, Sebastian, 2026. "Trade-offs in mental health support: Preferred patient-centered communication attributes across AI chatbots, telemedicine, online health communities, and in-person clinicians," Social Science & Medicine, Elsevier, vol. 403(C).
  • Handle: RePEc:eee:socmed:v:403:y:2026:i:c:s0277953626005071
    DOI: 10.1016/j.socscimed.2026.119431
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