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Accepted for/Published in: JMIR Mental Health

Date Submitted: Sep 15, 2020
Date Accepted: Nov 6, 2020

The final, peer-reviewed published version of this preprint can be found here:

Smartphone-Based Self-Reports of Depressive Symptoms Using the Remote Monitoring Application in Psychiatry (ReMAP): Interformat Validation Study

Goltermann J, Emden D, Leehr EJ, Dohm K, Redlich R, Dannlowski U, Hahn T, Opel N

Smartphone-Based Self-Reports of Depressive Symptoms Using the Remote Monitoring Application in Psychiatry (ReMAP): Interformat Validation Study

JMIR Ment Health 2021;8(1):e24333

DOI: 10.2196/24333

PMID: 33433392

PMCID: 7837996

Validation of smartphone-based assessments of depressive symptoms using the Remote Monitoring Application in Psychiatry (ReMAP): Validation study

  • Janik Goltermann; 
  • Daniel Emden; 
  • Elisabeth Johanna Leehr; 
  • Katharina Dohm; 
  • Ronny Redlich; 
  • Udo Dannlowski; 
  • Tim Hahn; 
  • Nils Opel

ABSTRACT

Background:

Smartphone-based symptom monitoring has gained increased attention in psychiatric research as a cost-efficient tool for prospective and ecologically valid assessments based on participants’ self-reports. However, a meaningful interpretation of smartphone-based assessments requires knowledge on their psychometric properties; especially their validity.

Objective:

To systematically investigate the validity of smartphone-administered assessments of self-reported affective symptoms using the Remote Monitoring Application in Psychiatry (ReMAP).

Methods:

The ReMAP app was distributed to N=173 adult participants of ongoing longitudinal psychiatric phenotyping studies including healthy control participants, as well as affective disorder, and anxiety disorder patients (age: mean 30.14, SD 11.92). Beck Depression Inventory (BDI), and single-item mood and sleep information was assessed via the ReMAP app and validated with stationary (non-smartphone) BDI scores and clinician-rated depression severity using the Hamilton Depression Rating Scale (HDRS).

Results:

We found overall high comparability between smartphone-based and stationary BDI scores (ICC=0.921, P<.001). Smartphone-based BDI further correlated with stationary HDRS ratings of depression severity in a subsample (n=51, r=0.783, P<.001). Higher agreement between smartphone and stationary assessments was found in affective disorder patients as compared to healthy controls, and anxiety disorder patients. Highly comparable agreement between delivery formats was found across age and gender groups. Similarly, smartphone-based single-item self-ratings of mood correlated with BDI sum scores (n=168, r=-0.538, P<.001), while smartphone-based single-item sleep duration correlated with the sleep item of the BDI (n=166, r=-0.310, P<.001).

Conclusions:

Conclusions:

The present findings demonstrate that smartphone-based monitoring of depressive symptoms via the ReMAP app provides valid assessments of depressive symptomatology and therefore represents a useful tool for prospective digital phenotyping in affective disorder patients in clinical and research applications.


 Citation

Please cite as:

Goltermann J, Emden D, Leehr EJ, Dohm K, Redlich R, Dannlowski U, Hahn T, Opel N

Smartphone-Based Self-Reports of Depressive Symptoms Using the Remote Monitoring Application in Psychiatry (ReMAP): Interformat Validation Study

JMIR Ment Health 2021;8(1):e24333

DOI: 10.2196/24333

PMID: 33433392

PMCID: 7837996

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