HCJan 19, 2018

Fostering Bilateral Patient-Clinician Engagement in Active Self-Tracking of Subjective Experience

arXiv:1801.06352v17 citations
AI Analysis

This addresses improving therapeutic processes for patients with conditions like PTSD through collaborative self-tracking, but it is incremental as it builds on existing self-tracking methods.

The paper explores how combining technology and method can enhance bilateral patient-clinician engagement in health self-tracking, using a case study of a PTSD-suffering veteran to show that high-resolution data on symptom precursors created new opportunities for identifying triggers in therapy.

In this position paper we describe select aspects of our experience with health-related self-tracking, the data generated, and processes surrounding those. In particular we focus on how bilateral patient-clinician engagement may be fostered by the combination of technology and method. We exemplify with a case study where a PTSD-suffering veteran has been self-tracking a specific symptom precursor. The availability of high-resolution self-tracking data on the occurrences of even a single symptom created new opportunities in the therapeutic process for identifying underlying triggers of symptoms. The patient was highly engaged in self-tracking and sharing the collected data. We suggest a key reason was the collaborative effort in defining the data collection protocol and discussion of the data. The therapist also engaged highly in the self-tracking data, as it supported the existing therapeutic process in reaching insights otherwise unobtainable.

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