Exploring Patient-Generated Annotations to Digital Clinical Symptom Measures for Patient-Centered Communication

Patients' self-reports are crucial for effective care management of clinical conditions involving subjective symptoms. While patients often value the ability to bring in different forms of self-report data to convey their lived experiences, they often struggle to make their data practically usable in clinical settings. To better center patient needs in communicating illness experiences in clinical contexts, we explore the idea of patient annotations to digital clinical self-report measures, specifically in the context of discontinuing antidepressants. Through interviews with 20 patients with AT Annotator, a digital aid to introduce the concept of annotations, we found that participants perceived annotations to digital clinical measures as a means to enrich self-report measures and reduce the cognitive and emotional burden of logging. However, concerns were raised regarding potential disruptions in patient-provider relationships and the sensitive and complex nature of mental health contexts. We discuss opportunities for annotations to promote patient-centered communication by balancing with clinical practicality and incorporating customization support for patients' communication needs.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2024-11-07
DOI
https://doi.org/10.1145/3686997
Citations
4
Primary Topic
Digital Communication and Language
Type
article
Field-Weighted Citation Impact
1.49
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article

Exploring Patient-Generated Annotations to Digital Clinical Symptom Measures for Patient-Centered Communication

Eunkyung Jo, Rachael Zehrung, Alexandra Papoutsaki, Katherine E Genuario et al.
4 citations
Proceedings of the ACM on Human-Computer Interaction
Digital Communication and Language
1.49
article

Exploring Patient-Generated Annotations to Digital Clinical Symptom Measures for Patient-Centered Communication

Eunkyung Jo, Rachael Zehrung, Alexandra Papoutsaki, Katherine E Genuario, Daniel A. Epstein
article en
4 citations

Abstract

Patients' self-reports are crucial for effective care management of clinical conditions involving subjective symptoms. While patients often value the ability to bring in different forms of self-report data to convey their lived experiences, they often struggle to make their data practically usable in clinical settings. To better center patient needs in communicating illness experiences in clinical contexts, we explore the idea of patient annotations to digital clinical self-report measures, specifically in the context of discontinuing antidepressants. Through interviews with 20 patients with AT Annotator, a digital aid to introduce the concept of annotations, we found that participants perceived annotations to digital clinical measures as a means to enrich self-report measures and reduce the cognitive and emotional burden of logging. However, concerns were raised regarding potential disruptions in patient-provider relationships and the sensitive and complex nature of mental health contexts. We discuss opportunities for annotations to promote patient-centered communication by balancing with clinical practicality and incorporating customization support for patients' communication needs.

Proceedings of the ACM on Human-Computer InteractionVol. 8(CSCW2)
Pomona College (US), University of California, Irvine (US)
Quality Education
Openalex Percentile: Top 17%
Digital Communication and Language
1.49
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Exploring Patient-Generated Annotations to Digital Clinical Symptom Measures for Patient-Centered Communication — Eunkyung Jo, Rachael Zehrung, et al. · Proceedings of the ACM on Human-Computer Interaction (2024) | TGRS Research Map | TGRS