Assessing the quality of digital patient-therapist communication: the development and validation of a text-based facilitative interpersonal skills task.
Autor: | Zech J; Department of Psychology, Florida State University, Tallahassee, FL, USA.; Talkspace, New York, NY, USA., Foley VK; Department of Psychology, The New School for Social Research, New York, NY, USA., Hull TD; Talkspace, New York, NY, USA., Anderson T; Psychology Department, The Ohio University, Athens, OH, USA. |
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Jazyk: | angličtina |
Zdroj: | Psychotherapy research : journal of the Society for Psychotherapy Research [Psychother Res] 2023 Jul; Vol. 33 (6), pp. 743-756. Date of Electronic Publication: 2022 Dec 31. |
DOI: | 10.1080/10503307.2022.2156305 |
Abstrakt: | Objective: Text-based communication is becoming an increasingly salient feature of the psychotherapeutic landscape. Yet little is known about the factors distinguishing high- and low-quality therapeutic conversations taking place over this modality. Prior research on therapist effects has outlined several common factors associated with better clinical outcomes. But these common factors can only be researched in the context of text-based communication if they can be measured. Accordingly, we developed and validated a new behavioral task and coding system: the Facilitative Interpersonal Skills Performance Task for Text (FIS-T) to measure therapists' messaging quality across eight dimensions of facilitative interpersonal skill. Methods: 1150 survey-takers rated the interpersonal dynamics and response difficulty of the FIS-T Task's text-based stimuli. The FIS-T was then administered to 64 therapists. Results: The FIS-T stimuli displayed similar interpersonal dynamics to those elicited by the original FIS task, demonstrated a similar range of difficulties to those of the video-based stimuli of the original FIS Task, and showed high inter-rater reliability. Conclusions: The text-based FIS-T Task demonstrates high reliability and convergent validity with the original FIS Task, making it appropriate for use in assessing the common factors in text-based therapy. Future directions in the quality assessment of internet-delivered psychotherapies are discussed. |
Databáze: | MEDLINE |
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