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CompletedNCT03286595BHCOEMobiUpdated Sep 18, 2017

Smartphone Applications Youth With Early Psychosis in Community Outpatient Settings

An interventional study of Mobi mHealth app in Psychosis and Clinical High Risk for Psychosis, sponsored by University of California, Davis. Completed at 1 site in United States. Open to participants aged 13 Years to 30 Years. Per ClinicalTrials.gov, last updated 2017-09-18.

Sponsored by University of California, Davis · Not applicable, Interventional, and Prevention

Phase
Not applicable
Study type
Interventional
Enrollment
60
Allocation
Non-randomized
Ages
13 Years to 30 Years
Sex
All
01

Study summary

The project aims to test the utility of implementing a mobile health application ("mhealth app") in early psychosis care in the community outpatient setting and in the university medical center setting. We will enroll 60 individuals in the early stages of psychotic illness who are receiving care in two UC Davis affiliated community based early psychosis outpatient programs: the Aldea Child and Family Services SOAR Programs in Napa and Solano Counties (Napa SOAR, and Solano SOAR), as well as the UC Davis Early Psychosis Programs (EDAPT and SacEDAPT clinics). Early psychosis (EP) participants will include individuals at high risk for developing a psychotic illness (termed "clinical high risk" or CHR) and individuals within two years of their first psychotic episode (termed "first episode psychosis" or FEP). Over the course of five months, EP participants will use the app on their mobile device to complete daily surveys assessing mood, social interactions and medication adherence, and weekly surveys assessing clinical symptoms, sleep and medication adherence. EP participants will also complete clinical assessments with UC Davis research staff at the initial and final study appointments (baseline and five month timepoints). Clinicians working in the three early psychosis programs will also participate in the study. In their clinical role, they will interact with EP participants' app data via the Dashboard, a secure web-based portal, and provide feedback on the clinical utility of the data that is provided on the dashboard. EP participants and their clinicians will also provide feedback on the impact of the app on the therapeutic relationship.

Read the detailed description

Although remission of psychotic symptoms following a patient's first episode of psychosis is achievable through pharmacological and psychosocial treatment, 50% of patients relapse within two years; 80% relapse within five. Relapse, defined as a recurrence of positive psychotic symptoms, is associated with cumulative increases in levels of psychotic symptoms following recovery, decreased social and community functioning, decreased quality of life, and increased hospitalizations. Given the negative impact on patients and their families, and the increasing cost of services as a function of relapse, development of effective relapse prevention strategies is imperative. Predictors of relapse amenable to treatment include: 1) clinical factors such as an exacerbation of clinical symptoms indicative of impending relapse; 2) treatment engagement factors such as medication adherence and therapeutic alliance; and 3) functioning factors such social impairments. Using mobile health technology in a community based outpatient clinic, we propose to specifically address these three types of relapse predictor variables.

The mobile health application tested in this study provides a user interface and a provider interface. The user interface is the mobile application (i.e. the "app") that patients interact with via their smartphone. This is designed to be simple and easily accessible. The app gathers "active" data, i.e. self-report surveys, which the user is alerted to via notifications on their device. Active data are analyzed and summarized for each patient on the "Dashboard", a provider-facing web portal for accessing concise and relevant information about a patient. The Dashboard provides up-to-date information regarding a patient's survey responses. Providers then use this information to better inform treatment decisions.

Specific aims and associated hypotheses are as follows:

Aim 1: Determine the feasibility and acceptability of the mhealth app in a community based outpatient early psychosis population. Hypothesis a: EPs will show high utilization of the mhealth app and low dropout, as well as high satisfaction and endorsement of continued use of the app. Hypothesis b: Clinicians will report high satisfaction and endorsement of continued use of the app.

Aim 2: Identify mhealth data related to key patient outcomes to inform calibration of patient status alerts. Hypothesis: Reductions in phone calls/text messages and/or increases in self-reported ratings of basic symptoms will predict psychotic symptom flares, increased clinic utilization, psychiatric ER visits and hospitalizations.

Aim 3: Evaluate the effect of the mhealth app on medication adherence, therapeutic alliance, and insight. Hypothesis a: After five months of app use, patients will report improved medication adherence, therapeutic alliance with their clinicians, and insight into their illness. Hypothesis b: After five months of use, clinicians will report improved therapeutic alliance with their patients.

02

Conditions studied

  • Psychosis
  • Clinical High Risk for Psychosis

Keywords

  • early psychosis
  • clinical high risk
  • mobile health
03

Who can participate

Ages eligible
13 Years to 30 Years
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

  • Inclusion criteria for EP and CHR participants are: age 13-30 years, English fluency, and receiving clinical care at one of three UC Davis affiliated early psychosis clinics in the Northern California region: 1) UC Davis Early Psychosis Program (SacEDAPT \& EDAPT clinics); 2) Aldea Solano SOAR Program; 3) Aldea Napa SOAR program.
  • CHR participants will have no history of psychosis and will demonstrate attenuated psychotic symptoms consistent with the Structured Interview for Prodromal Syndromes (SIPS), or genetic risk (first-degree relative with psychosis) in conjunction with a substantial drop in functioning over the past year.
  • FEP participants will be ascertained within three years or less from illness onset and have diagnoses of affective (i.e. bipolar) and non-affective psychosis (i.e. schizophrenia) according to DSM-IV criteria.

Exclusion criteria

Exclusion Criteria:

  • IQ below 70
  • history neurological disorders
  • current substance abuse/dependence
04

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Non-randomized
Intervention model
Single group
Masking
None (open label)
Enrollment
60 participants (actual)

Study arms

  • Experimental
    Early Psychosis (EP)

    EP participants will be individuals who are either a) at clinical high risk (CHR) for developing psychosis and/or bipolar disorder, or b) First Episode Psychosis (FEP) participants meeting criteria for schizophreniform disorder, schizophrenia, schizoaffective disorder or another psychotic, non-schizophrenia diagnosis including those with bipolar disorder.

    Other: Mobi mHealth app

  • Experimental
    Clinicians

    Clinicians/treatment team members who are providing treatment services to the EP participants at one of the three early psychosis clinics.

    Other: Mobi mHealth app

Interventions

  • OtherMobi mHealth app

    Mobile application (i.e. the "app") that patients interact with via their smartphone to collect daily and weekly survey information. Data is visualized on a clinician-facing Dashboard, which can be used to inform treatment.

05

What researchers measure

Primary outcomes

  1. Feasibility

    Feasibility will be measured by utilization of the application (i.e. number of enrolled and active participants versus total patient population invited).

    Time frame: 18 months

  2. Acceptability/Satisfaction

    Acceptability will be measured with satisfaction survey ratings of mhealth app by patients and clinicians.

    Time frame: 18 months

  3. Brief Psychiatric Rating Scale (BPRS)

    a 24-item semi-structured clinical interview rating symptom severity at ascertainment across four domains: positive symptoms, negative symptoms, agitation/mania, and depression/anxiety.

    Time frame: 18 months

  4. Critical incidents

    Includes information from patient chart: increased clinic contact, psychiatric ER visits or hospitalizations, and progression from a high risk state to first episode psychosis.

    Time frame: 18 months

  5. The Clinical Global Impression-Schizophrenia scale (Haro et al., 2003)

    is a brief 12-item scale assessing illness severity and degree of improvement over follow-up that is appropriate for use in clinical or research settings.

    Time frame: 18 months

Secondary outcomes

  1. Medication adherence

    The MARS (Thompson et al., 2000) is a 10-item self-report questionnaire assessing medication taking behavior, attitudes to medication, and side effects.

    Time frame: 18 months

  2. Therapeutic Alliance

    Therapeutic alliance will be assessed with the STAR (Mcguire-Snieckus et al., 2007), a 12-item questionnaire with patient and clinician versions assessing positive collaboration and positive clinician input (both versions), non-supportive input (patient version), and emotional difficulties (clinician version).

    Time frame: 18 months

  3. Insight

    Patient's insight into their illness will be assessed using the IS (Birchwood et al., 1994), an 8-item self-report questionnaire assessing awareness of illness, need for treatment, and attribution of symptoms.

    Time frame: 18 months

06

Study locations

1 site
  • UC Davis Imaging Research Center
    Sacramento, California 95817, United States
07

References and documents

Individual participant data

Plan to share: Undecided

No publications or documents are linked to this record.

08

Registry details

Key details

Study ID
NCT03286595
Lead sponsor
University of California, Davis
Responsible party
Sponsor
First posted
Sep 18, 2017
Start date
Aug 19, 2015
Primary completion
Dec 31, 2016
Completion
Dec 31, 2016
Last update
Sep 18, 2017

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
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