The relationship between clinical, momentary, and sensor-based assessment of depression

Sohrab Saeb, Mi Zhang, Mary Kwasny, Christopher J. Karr, Konrad Kording, David C. Mohr

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Scopus citations

Abstract

The clinical assessment of severity of depressive symptoms is commonly performed with standardized self-report questionnaires, most notably the patient health questionnaire (PHQ-9), which are usually administered in a clinic. These questionnaires evaluate symptoms that are stable over time. Ecological momentary assessment (EMA) methods, on the other hand, acquire patient ratings of symptoms in the context of their lives. Today's smartphones allow us to also obtain objective contextual information, such as the GPS location, that may also be related to depression. Considering clinical PHQ-9 scores as ground truth, an interesting question is to what extent the EMA ratings and contextual sensor data can be used as potential predictors of depression. To answer this question, we obtained PHQ-9 scores from 18 participants with a variety of depressive symptoms in our lab, and then collected their EMA and GPS sensor data using their smartphones over a period of two weeks. We analyzed the relationship between GPS sensor features, EMA ratings, and the PHQ-9 scores. While we found a strong correlation between a number of sensor features extracted from the two-week period and the PHQ-9 scores, the other relationships remained non-significant. Our results suggest that depression is better evaluated using long-term sensor-based measurements than the momentary ratings of mental state or short-term sensor information.

Original languageEnglish (US)
Title of host publicationProceedings of the 2015 9th International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages229-232
Number of pages4
ISBN (Electronic)9781631900457
DOIs
StatePublished - Dec 8 2015
Event9th International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2015 - Istanbul, Turkey
Duration: May 20 2015May 23 2015

Publication series

NameProceedings of the 2015 9th International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2015

Other

Other9th International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2015
CountryTurkey
CityIstanbul
Period5/20/155/23/15

Keywords

  • GPS location
  • PHQ-9
  • context sensing
  • depression
  • ecological momentary assessment

ASJC Scopus subject areas

  • Health Informatics
  • Computer Science Applications

Fingerprint Dive into the research topics of 'The relationship between clinical, momentary, and sensor-based assessment of depression'. Together they form a unique fingerprint.

Cite this