Smartphone mood tracking may predict Post-Stroke depression
NCT ID NCT04043052
First seen Jun 24, 2026 · Last updated Jun 24, 2026
Summary
This study tested whether daily mood check-ins via a mobile app could help predict and prevent depression in people who recently had a stroke. Over 400 participants used the app for three months while researchers tracked their emotional symptoms. The goal was to see if this kind of monitoring could identify those at risk early, so doctors could step in sooner.
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This is a summary of
the original study
.
Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Locations
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Assistance Publique Hopitaux de Paris - Groupe Hospitalier Paris Saint Joseph
Paris, 75 014, France
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CHRU de Brest
Brest, 29 609, France
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CHU Dijon Bourgogne
Dijon, 21 079, France
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CHU de Bordeaux
Bordeaux, 33 076, France
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CHU de Montpellier
Montpellier, 34295, France
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
Ecological Momentary Assessment (EMA) via mobile app
What this could lead to
If successful, this approach could help doctors identify stroke patients at high risk for depression early and offer timely support.
What could go wrong
This is an observational study, not a treatment trial. It tests monitoring, not prevention, so it may not directly reduce depression rates.
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.