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Bias awareness in teachers: A German adaptation of the bias awareness scale for teachers
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Questionnaire: Power Asymmetry in Medical Encounters (PA-ME)
Get PDFThe PA-ME assesses the patients’ perceived power asymmetry in their relationship with the clinician. Items were developed based on previous research (Arora et al., 2005; Joseph-Williams et al., 2014; Yamaguchi & Ota, 2012) and theoretical considerations regarding elicitors and consequences of perceived power asymmetry (Büdenbender, Köther, Grüne, et al., 2023). Items were then revised with feedback from urological patients (Selbsthilfe-Bund Blasenkrebs e. V.) [self-help association for bladder cancer]. Items assess feelings of social inferiority, patients’ expectations and assumptions about clinicians’ reactions, avoidance behavior caused by perceived power asymmetry, and how important the relationship to and perception by clinicians is to the patients. The 17 items are rated on a 5-point Likert scale from 1 (strongly disagree) to 5 (strongly agree). Sum scores are calculated and transformed with min-max normalization to range from 0 to 100 (PA-ME Score) for comparability to other scores in the research field (e.g. API-Uro; Büdenbender, Kriegmair, Köther, et al., 2021). Higher values indicate higher levels of perceived power asymmetry
Does remote match reality? Comparing the effectiveness of a self-help app for panic disorder and agoraphobia to face-to-face CBT
Get PDFBackground
Exposure-based CBT is highly effective in treating patients with panic disorder and agoraphobia; however, access to such treatments is often limited. Smartphone-based self-management apps offer a promising low-threshold treatment alternative to face-to-face therapy. Although such health apps have shown to be effective in reducing anxiety symptoms, comparisons to active treatments are still scarce. Therefore, this study compared the effectiveness of a self-help app to an established face-to-face CBT intervention for panic and agoraphobia.
Method
The present study conducts a post hoc comparison of two independent RCTs examining participants with panic disorder and/or agoraphobia. Interventions in both studies were based on the same CBT manual. Study 1 (n = 138) included face-to-face CBT; Study 2 addressed the effects of a digital self-help intervention (n = 57). Main outcomes comprised symptoms of both panic disorder and agoraphobia, depressive symptoms and agoraphobic avoidance. Data were analysed using linear mixed models in intent-to-treat and completer data sets.
Results
Linear mixed models showed that face-to-face treatment was superior to app treatment in reducing panic and agoraphobic symptoms (R2 = 0.32), depressive symptoms (R2 = 0.24) and agoraphobic avoidance (R2 = 0.12 and 0.15). Dropout rates did not differ significantly, and both interventions demonstrated high levels of adherence.
Discussion
Although a smartphone-based CBT intervention was effective in reducing symptoms of panic and agoraphobia, its efficacy was significantly below the effects of the same intervention delivered in face-to-face format. Thus, digital interventions might be most suitable within a stepped-care approach or to bridge waiting times for psychotherapy