ClinicalTrials.gov
public full text
Public Domain
Mobile Interventions for the Prevention and Detection of Distress
Stress, anxiety, distress and depression are exceptionally high among healthcare providers at the frontline of the COVID-19 pandemic. Knowledge of factors underlying distress and resilience and evidence based interventions to impact the mental wellbeing of frontline healthcare providers is limited. This study will evaluate a novel mobile platform to gather the "distress experience" of healthcare workers at Unity Health Toronto in real time during and after the COVID-19 pandemic, use automated personalized mobile interventions (e.g. routine, sleep, exercise) to nudge active/passive parameters to manage distress.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Mobile Phone-based Intervention for Promoting Healthy Habits and Weight Loss#827003
- Mobile Health (mHealth) Technology for Early Detection of Psychosocial Distress in Cancer Patients: A Scoping Review.#224917
- A Pre-post Pilot of a Smartphone Intervention#966561
- Cancer Distress Coach Mobile App Trial#1321166
- Psychological Impact of COVID-19 Pandemic in Healthcare Workers#1309774
Record · ID 1321505
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive