Monitoring Telemedicine Platform in Patients With Anxiety Symptoms and Alcohol Use Disorder
REMOTE
REMOTE: Monitoring Telemedicine Platform in Patients With Anxiety Symptoms and Alcohol Use Disorder: Smartphone and Wearable Sensors
1 other identifier
observational
44
1 country
1
Brief Summary
The objective of this study is to analyze the physiological patterns of two groups of patients, one control and one with anxiety disorder and alcoholic abuse disorder using sensor data from mobile devices and wearables. This data will be compared to the data presented by three clinical questionnaires: State-trait Anxiety Inventory (STAI), the Alcohol Use Disorders Identification Test (AUDIT), and the Beck's Depression Inventory (BDI-II) in order to determine the feasibility of remote collected data.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Feb 2019
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
February 1, 2019
CompletedFirst Submitted
Initial submission to the registry
June 17, 2019
CompletedFirst Posted
Study publicly available on registry
June 19, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 5, 2019
CompletedStudy Completion
Last participant's last visit for all outcomes
November 5, 2019
CompletedJanuary 25, 2023
January 1, 2023
9 months
June 17, 2019
January 24, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (10)
Change in Self-reported Anxiety symptoms assessed with the State-Trait Anxiety Inventory (STAI)
Taken through the application "Ushine". Participants receive STAI scores ranging from 0-60, 0 being lowest amount of symptoms, and 60 being the greatest amount of symptoms, which are then transformed into percentiles according to age and sex.
One month, questionnaire taken 4 times (1/week)
Sleep pattern
Monitoring of circadian rhythm using a motion sensor Fitbit and cardiac activity sensor
One month
REM sleep time
monitoring of REM sleep patterns using a motion sensor Fitbit and cardiac activity sensor
One month
Heart Rate
monitoring of heart rate using Fitbit sensor
One month
Step count
Monitoring of daily step count using motion sensor FitBit
One month
Distance travelled
Monitoring of distance travelled using GPS phone
One month
Mobile device usage
Monitoring how often the patient's mobile device is used, determined by tracking the presence of a signal from their device
One month
Sociability (number of incoming an outgoing calls and text messages)
The number of incoming and outgoing calls and text messages will be monitored using the UShine app algorithm
One month
Change in Self-reported Depression symptoms assessed with the Beck's Depression Inventory (BDI-II)
Taken through the application "Ushine". Participants receive BDI-II scores ranging from 1-63, with a score of 0-13 indicating minimal depression, 14-19 indicating mild depression, 20-28 indicating moderate depression, and 29-63 indicating severe depression.
One month, questionnaire taken 4 times (1/week)
Change in Self-reported Alcohol Abuse Symptoms assesed with the Alcohol Use Disorders Identification Test (AUDIT)
Taken through the application "Ushine". Participants receive AUDIT scores ranging from 0-40. A score of 8 or more is associated with harmful or hazardous drinking, a score of 13 or more in women, and 15 or more in men, is likely to indicate alcohol dependence.
One month, questionnaire taken 4 times (1/week)
Secondary Outcomes (2)
Usability of the mobile application
One month
Satisfaction with the application
One month
Study Arms (2)
Control
n=30 healthy participants will be recruited using social networks and leaflets of information distributed by the research team at the Hospital Cliníc de Barcelona. The participants will be monitored over the course of one month using the humanITcare app "U-Shine," which will track participant's sociability, device usage, and location frequency using mobile sensors. Participants' data will also be monitored with a FitBit device to track sleep schedules, heart rate, and step count. During the weekly follow-up, they will have to complete the three clinical questionnaires taken at the initial visit.
Experimental
The recruitment process will be carried out in patients of external consultations and the day hospital of the Addictions Unit at the Hospital Clinic of Barcelona. n=30 patients with Anxiety and Alcohol Use Disorder. The participants will be monitored over the course of one month using the humanITcare app "U-Shine," which will track participant's sociability, device usage, and location frequency using mobile sensors. Participants will also be monitored using a FitBit device to track sleep schedules, heart rate, and step count. During the weekly follow-up, they will have to complete the three clinical questionnaires taken at the initial visit.
Interventions
Eligibility Criteria
There will be a sample n = 60, with 30 healthy control subjects and 30 afflicted experimental subjects.
You may qualify if:
- years of age.
- Alcohol use disorder (DSM 5) as main substance.
- Anxiety (STAI \> percentile 33) and, if depressive symptoms, not clinically relevant as to accomplish DSM5 diagnostic criteria for mood disorders (major depressive disorder, bipolar disorder…).
- Having a mobile phone compatible with Android.
- Sign informed consent.
You may not qualify if:
- Mood disorder diagnoses (DSM5).
- Cognitive deficits that prevent the participation.
- Active intake of other substances (except for nicotine).
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- humanITcarelead
- Hospital Clinic of Barcelonacollaborator
- European Institute of Innovation and Technologycollaborator
Study Sites (1)
Hospitcal Clínic de Barcelona
Barcelona, 08036, Spain
Related Publications (17)
Alonso J, Liu Z, Evans-Lacko S, Sadikova E, Sampson N, Chatterji S, Abdulmalik J, Aguilar-Gaxiola S, Al-Hamzawi A, Andrade LH, Bruffaerts R, Cardoso G, Cia A, Florescu S, de Girolamo G, Gureje O, Haro JM, He Y, de Jonge P, Karam EG, Kawakami N, Kovess-Masfety V, Lee S, Levinson D, Medina-Mora ME, Navarro-Mateu F, Pennell BE, Piazza M, Posada-Villa J, Ten Have M, Zarkov Z, Kessler RC, Thornicroft G; WHO World Mental Health Survey Collaborators. Treatment gap for anxiety disorders is global: Results of the World Mental Health Surveys in 21 countries. Depress Anxiety. 2018 Mar;35(3):195-208. doi: 10.1002/da.22711. Epub 2018 Jan 22.
PMID: 29356216BACKGROUNDWittchen HU, Jacobi F, Rehm J, Gustavsson A, Svensson M, Jonsson B, Olesen J, Allgulander C, Alonso J, Faravelli C, Fratiglioni L, Jennum P, Lieb R, Maercker A, van Os J, Preisig M, Salvador-Carulla L, Simon R, Steinhausen HC. The size and burden of mental disorders and other disorders of the brain in Europe 2010. Eur Neuropsychopharmacol. 2011 Sep;21(9):655-79. doi: 10.1016/j.euroneuro.2011.07.018.
PMID: 21896369BACKGROUNDBarrio P, Ortega L, Lopez H, Gual A. Self-management and Shared Decision-Making in Alcohol Dependence via a Mobile App: a Pilot Study. Int J Behav Med. 2017 Oct;24(5):722-727. doi: 10.1007/s12529-017-9643-6.
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PMID: 24671165BACKGROUNDReddy MS. Depression: the disorder and the burden. Indian J Psychol Med. 2010 Jan;32(1):1-2. doi: 10.4103/0253-7176.70510. No abstract available.
PMID: 21799550BACKGROUNDMenger V, Spruit M, Hagoort K, Scheepers F. Transitioning to a Data Driven Mental Health Practice: Collaborative Expert Sessions for Knowledge and Hypothesis Finding. Comput Math Methods Med. 2016;2016:9089321. doi: 10.1155/2016/9089321. Epub 2016 Aug 17.
PMID: 27630736BACKGROUNDHsin H, Torous J, Roberts L. An Adjuvant Role for Mobile Health in Psychiatry. JAMA Psychiatry. 2016 Feb;73(2):103-4. doi: 10.1001/jamapsychiatry.2015.2839. No abstract available.
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PMID: 28973224BACKGROUNDBernert RA, Hom MA, Iwata NG, Joiner TE. Objectively Assessed Sleep Variability as an Acute Warning Sign of Suicidal Ideation in a Longitudinal Evaluation of Young Adults at High Suicide Risk. J Clin Psychiatry. 2017 Jun;78(6):e678-e687. doi: 10.4088/JCP.16m11193.
PMID: 28682534BACKGROUNDBandelow B, Michaelis S. Epidemiology of anxiety disorders in the 21st century. Dialogues Clin Neurosci. 2015 Sep;17(3):327-35. doi: 10.31887/DCNS.2015.17.3/bbandelow.
PMID: 26487813BACKGROUNDSaeb S, Zhang M, Karr CJ, Schueller SM, Corden ME, Kording KP, Mohr DC. Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study. J Med Internet Res. 2015 Jul 15;17(7):e175. doi: 10.2196/jmir.4273.
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PMID: 28798010BACKGROUNDSano A, Taylor S, McHill AW, Phillips AJ, Barger LK, Klerman E, Picard R. Identifying Objective Physiological Markers and Modifiable Behaviors for Self-Reported Stress and Mental Health Status Using Wearable Sensors and Mobile Phones: Observational Study. J Med Internet Res. 2018 Jun 8;20(6):e210. doi: 10.2196/jmir.9410.
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BACKGROUND
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Antoni Gual, MD
Director of Addictions Unit. Hospital Clínic de Barcelona
- STUDY CHAIR
Elsa Caballeria
Clinic Foundation for Biomedical Research
- STUDY CHAIR
Hugo Lopez-Pelayo, MD
Addictions Unit, Hospital Clínic de Barcelona
- STUDY DIRECTOR
Nuria Pastor Hernandez, MSc
humanITcare, FollowHealth SL
- STUDY DIRECTOR
Unai Sanchez Luque, MSc
humanITcare, FollowHealth SL
- STUDY CHAIR
Elizabeth Katayoun Khalilian
humanITcare, University of Texas at Austin
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- PROSPECTIVE
- Target Duration
- 1 Month
- Sponsor Type
- NETWORK
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 17, 2019
First Posted
June 19, 2019
Study Start
February 1, 2019
Primary Completion
November 5, 2019
Study Completion
November 5, 2019
Last Updated
January 25, 2023
Record last verified: 2023-01
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF, CSR
- Time Frame
- IPD will be available by the estimated date of September 2019, when study results are expected to be published
- Access Criteria
- Participants can access their own individual data records, only hospital researchers can access the aggregated data sets.
Individual participant data sets that underlie results in the final study report will be available for sharing.