Key points are not available for this paper at this time.
Introduction Self-referral to therapist-guided internet-delivered cognitive behavioral therapy (guided ICBT) is increasingly being implemented in specialized mental healthcare settings to reduce barriers to care. Little is known about the characteristics of patients who access treatment through this pathway compared to the traditional referral pathway from general practitioner (GP). This study aims to compare demographic characteristics, socioeconomic and social factors between GP- and self-referred patients receiving guided ICBT for depression and anxiety disorders. Method Naturalistic cross-sectional study comparing pre-treatment characteristics between GP- and self-referred patients in a specialized routine care ICBT clinic. Results The study included 460 patients, 305 GP-referred, 155 self-referred. We found statistically significant differences between referral pathways in the socioeconomic factors; educational level ( P .001), employment status ( P = .002), source of income ( P = .004), social support ( P = .029), types of healthcare utilization 6 months prior to treatment ( P .001) and information source about the treatment ( P .001). We found no difference in pre-treatment symptom level or basic demographics. Multiple logistic regression reduced the number of findings. Discussion Different referral pathways potentially attract distinct patient populations, with self-referred patients being more likely to report greater socioeconomic resources than GP-referred. GP-referral remains crucial for individuals who may need more structured guidance to navigate healthcare systems. To promote equitable access, referral strategies should be tailored to reach those less likely to self-refer. Offering two pathways may support broader access to specialized mental healthcare. Future studies should further explore these identified statistical differences to optimize referral systems and ensure equitable access to mental healthcare for all in need.
Building similarity graph...
Analyzing shared references across papers
Loading...
Jill Bjarke
Haukeland University Hospital
Marit Knapstad
Norwegian Institute of Public Health
Rolf Gjestad
Haukeland University Hospital
Frontiers in Digital Health
University of Bergen
Haukeland University Hospital
Norwegian Institute of Public Health
Building similarity graph...
Analyzing shared references across papers
Loading...
Bjarke et al. (Wed,) studied this question.
synapsesocial.com/papers/6a1571be79ff98d0de4ea3d2 — DOI: https://doi.org/10.3389/fdgth.2026.1633352