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Virtual Agents-based Digital Interventions to Improve Health

Acceptance and Efficacy of a Smartphone-based App Using a Conversational Agent to Monitor Health Status and/or Deliver Behavioral Intervention to Reduce Psycho-social Stress

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05074901
Acronym
KANOPEE
Enrollment
20000
Registered
2021-10-12
Start date
2020-04-22
Completion date
2027-12-31
Last updated
2021-10-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Anxiety, Depression, Insomnia, Mental Disorder, Mental Stress

Keywords

e-health, embodied conversational agent, ecological momentary assessment, ecological momentary intervention

Brief summary

KANOPEE is a free smartphone application providing screening, follow-up tools and autonomous digital interventions to lower psycho-social stress and its repercussions on sleep and behaviors in the general population. Additionally, KANOPEE permits an adaptation of the intervention to the subject (i.e., an adapted waiting period, frequency, and content), enabling to perform innovative trial conditions. The objective of this long-term study is to evaluate the efficacy of KANOPEE on users among the French general population exposed to psycho-social stress.

Detailed description

KANOPEE was designed by sleep specialists and psychiatrists to propose autonomous interventions to improve sleep, physical activity and substance abuse ; aiming at lowering psycho-social stress's repercussions. The app provides weekly interactions with a virtual companion. At each interaction, users answer standardized questionnaires (e.g., Insomnia Severity Index, Cigarette Dependence Scale) enabling to characterize users' health status (i.e;, the severity of the complaints) and evolution over time, and therefore provide adapted interventions based on the literature (e.g., digital Cognitive Behavioral Therapies, diaries, sleep hygiene recommendations, motivational interviewing). The app is freely available to the general population in France, enabling very large sample size, and the possibility to perform non-randomized trials depending on the selected interventions by the users and the subject's group.

Interventions

BEHAVIORALdigital behavioral intervention

interaction with a conversational agent to implement physical and cognitive programs

Sponsors

University of Bordeaux
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE
Masking
SINGLE (Subject)

Intervention model description

Open populational trial

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Being aged 18 years old and over (the app is available for younger users but their data will not be analyzed) * having downloaded the app * having a smartphone Android or Iphone * being located in France * having accepted the electronic informed consent

Exclusion criteria

* having clicked on the emergency button (in the app, there is a warning message : this app is not for emergency situations. If you need an urgent psychological support, click here) * having downloaded the app but without answering any questionnaire

Design outcomes

Primary

MeasureTime frameDescription
Depression and anxiety complaintsweekly, from the downloading of the app until two weeks after the end of the interventionmeasured by the Patient Health Questionnaire 4 items (PHQ-4), total score ranging from 0 to 12, higher scores indicating higher depression or anxiety complaints.
Sleep complaintsweekly, from the downloading of the app until two weeks after the end of the interventionmeasured by the Insomnia Severity Index (ISI), total score ranging from 0 to 28, higher score indicating higher sleep complaint.
Fatigue complaintsweekly, from the downloading of the app until two weeks after the end of the interventionmeasured by the Fatigue Severity Scale (FSS), total score ranging from 1 to 7, higher score indicating higher perceived fatigue.

Secondary

MeasureTime frameDescription
Time In Beddaily, from the downloading of the app until two weeks after the end of the interventioncalculated based on the sleep diary data, time starting from the moment of intention to fall asleep and concluding with the final arising (in hh:mm:ss).
Sleep Onset Latencydaily, from the downloading of the app until two weeks after the end of the interventioncalculated based on the sleep diary data, corresponding to the time it takes to fall asleep, starting from the moment of intention to fall asleep (in hh:mm:ss)
Wakefulness After Sleep Onsetdaily, from the downloading of the app until two weeks after the end of the interventioncalculated based on the sleep diary data, corresponding to the total amount of time awake during the night (in hh:mm:ss)
number of episodes of cravingdaily, from the downloading of the app until two weeks after the end of the interventionself-reporting number of moment during a day when the user felt the irresistible need to consume a substance (e.g., tobacco, alcohol)
amount of substance usagedaily, from the downloading of the app until two weeks after the end of the interventionself-reporting number of substance (e.g., cigarette, drinks) consumed during a day
Number of Awakeningsdaily, from the downloading of the app until two weeks after the end of the interventioncalculated based on the sleep diary data, corresponding to the total number of time awakenings during the night (number from 0 to 15)
Total Sleep Timedaily, from the downloading of the app until two weeks after the end of the interventioncalculated based on the sleep diary data, corresponding to the actual time slept (Time in Bed - Sleep Onset Latency - Wakefulness After Sleep Onset - Terminal Wakefulness) (in hh:mm:ss)
Sleep Efficiencydaily, from the downloading of the app until two weeks after the end of the interventioncalculated based on the sleep diary data, corresponding to the percent of time in bed spent asleep (Total Sleep Time/Time in Bed \* 100) (percentage)

Other

MeasureTime frameDescription
application's acceptancefacultative questionnaire that user can fill up after any interaction with the app (thus weekly)measured by the Acceptability of E-health Scale (AES), total score ranging from 0 to 30, higher score indicating a better acceptance of the app

Countries

France

Contacts

Primary ContactPierre Philip, Pr
pierre.philip@u-bordeaux.fr+33557820172
Backup ContactEtienne de Sevin, Ph.D.
etienne.de-sevin@u-bordeaux.fr+33547304242

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 5, 2026