Evidence map›Paper›PMID 32579124›Full record

ArticleJMIR research protocols2020

Remote Monitoring Telemedicine (REMOTE) Platform for Patients With Anxiety Symptoms and Alcohol Use Disorder: Protocol for a Case-Control Study.

Núria Pastor, Elizabeth Khalilian, Elsa Caballeria, Danielle Morrison, Unai Sanchez Luque, Silvia Matrai, Antoni Gual, Hugo López-Pelayo

Abstract read
In one paragraph

Article in JMIR research protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Núria Pastor *HumanITcare - FOLLOWHEALTH SL, Barcelona, Spain.ORCID https://orcid.org/0000-0003-3172-7459
Elizabeth Khalilian *HumanITcare - FOLLOWHEALTH SL, Barcelona, Spain.ORCID https://orcid.org/0000-0001-5199-0794
Elsa Caballeria *Grup Recerca Addiccions Clinic, Psychiatry Department, Neurosciences Institute, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0003-4361-6422
Danielle MorrisonHumanITcare - FOLLOWHEALTH SL, Barcelona, Spain.ORCID https://orcid.org/0000-0001-9688-3618
Unai Sanchez Luque *HumanITcare - FOLLOWHEALTH SL, Barcelona, Spain.ORCID https://orcid.org/0000-0002-5262-8778
Silvia MatraiGrup Recerca Addiccions Clinic, Psychiatry Department, Neurosciences Institute, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0002-0308-7354
Antoni Gual *Grup Recerca Addiccions Clinic, Psychiatry Department, Neurosciences Institute, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0002-7130-981X
Hugo López-PelayoGrup Recerca Addiccions Clinic, Psychiatry Department, Neurosciences Institute, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0002-3850-8374

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMonitoring mental health outcomes has traditionally been based on heuristic decisions, often based on scarce, subjective evidence, making the clinical decisions made by professionals, as well as the monitoring of these diseases, subject to flaws. However, the digital phenotype, which refers to the analysis of data collected by measuring human behavior with mobile sensors and smart bracelets, is a promising tool for filling this gap in current clinical practice.

objectiveThe objectives of this study are to develop the digital phenotyping of patients with alcohol use disorder and anxiety symptoms using data collected from a mobile device (ie, smartphone) and a wearable sensor (ie, Fitbit) and to analyze usability and patient satisfaction with the data collection service provided by the app.

methodsWe propose to conduct a study among a group of 60 participants split into two subgroups-experimental and control-of 30 participants each. The experimental group will be recruited by physicians from the Hospital Clínic de Barcelona, and the control group will be recruited on a volunteer basis through fliers and social media. All participants will go through pretraining to ensure technological capability and understanding of tasks, then each participant will download the HumanITcare app and will be given a wearable sensor (ie, Fitbit). Throughout the 4-month period, participants will be monitored on a range of factors, including sleep cycle, heart rate, movement patterns, and sociability. All data from the wearable sensors and the mobile devices will be saved and sent to the HumanITcare server. Participants will be asked to complete weekly questionnaires about anxiety, depression, and alcohol use disorder symptoms. Research assistants will ensure timely responses. The data from both sensors will then be compared to the questionnaire responses to determine how accurately the devices can predict the same symptoms.

resultsThe recruitment phase was completed in November 2019 and all the data were collected by the end of December 2019. Data are being processed; this process is expected to be completed by October 2020.

conclusionsThis study was created and conducted as a pilot study with the Hospital Clínic de Barcelona, with the purpose of exploring the feasibility of our approach. The study is focused on patients diagnosed with anxiety and alcohol use disorder, but participants were also monitored for depressive symptoms throughout the trial, although these were not part of the initial inclusion criteria. A limitation to our study was the exclusive use of Android smartphones over iOS devices; this could result in a potential selection bias, due to the accessibility and affordability of Android phones as opposed to iOS-based phones. Another limitation might be that reviews of usability and satisfaction could be confounded by factors such as age and familiarity. An additional function that we might add in future studies is the ability for patients to manage their own data. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/16964.

Indexed as

digital biomarkersdigital healthdigital phenotypemental health

Identifiers

PMID32579124
PMCPMC7381016

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.