UMIN-ICDS Clinical Trial

Unique ID issued by UMIN UMIN000052367
Receipt number R000059782
Scientific Title A Pilot Study to Prevent Perinatal Depression Using Online Peer Community and Metaverse Peer Support
Date of disclosure of the study information 2023/11/30
Last modified on 2023/12/19 21:26:51

* This page includes information on clinical trials registered in UMIN clinical trial registed system.
* We don't aim to advertise certain products or treatments


Basic information

Public title

A Pilot Study to Prevent Perinatal Depression Using Online Peer Community and Metaverse Peer Support

Acronym

Mpeer Open

Scientific Title

A Pilot Study to Prevent Perinatal Depression Using Online Peer Community and Metaverse Peer Support

Scientific Title:Acronym

Mpeer Open

Region

Japan


Condition

Condition

Depression

Classification by specialty

Psychiatry

Classification by malignancy

Others

Genomic information

NO


Objectives

Narrative objectives1

Pregnant women with a certain level of depression or depression during pregnancy are very common, and the need for intervention is high, not only because of their own mental distress but also because of the impact on the growth and development of the fetus. In addition, pregnancy is a time when it is easier to secure time and motivation for disease prevention compared to the postpartum period, and pregnancy depression is a predictor of postpartum depression, so interventions during pregnancy can prevent postpartum depression as well.
There are several interventions for pregnancy depression, including Internet cognitive-behavioral therapy, but their effectiveness is limited, and new approaches are needed. Peer support, in which people with the same problems support each other, has already been used to a certain extent in the fields of cancer and mental illness, but the evidence is not yet sufficiently established. The need for online peer support is also increasing, but little platform exists for such support.
Therefore, this study aims to reduce depressive symptoms and prevent depression in late pregnancy and postpartum period by 1) universal prevention through online peer community and 2) prevention through digital peer support using the app and metaverse, targeting pregnant women. Both Study 1 and Study 2 will be pre-post comparative studies, and use a historical control group (Reference: Nishi et al. Psychiatry and Clinical Neurosciences 2022).

Basic objectives2

Efficacy

Basic objectives -Others


Trial characteristics_1


Trial characteristics_2


Developmental phase



Assessment

Primary outcomes

EPDS (Edinburgh Postnatal Depression Scale)

Key secondary outcomes

K6, The Mother-Infant Bonding Questionnaire: MIBQ, UCLA, LSNS, MHC-SF, PBI


Base

Study type

Interventional


Study design

Basic design

Single arm

Randomization

Non-randomized

Randomization unit


Blinding

Open -no one is blinded

Control

Historical

Stratification


Dynamic allocation


Institution consideration


Blocking


Concealment



Intervention

No. of arms

1

Purpose of intervention

Prevention

Type of intervention

Behavior,custom

Interventions/Control_1

The intervention used in Study 1 is an online peer community provided by the Quon Corporation system.
The intervention used in Study 2 is digital peer support using the app and peer support meetings held in the metaverse space.

Interventions/Control_2


Interventions/Control_3


Interventions/Control_4


Interventions/Control_5


Interventions/Control_6


Interventions/Control_7


Interventions/Control_8


Interventions/Control_9


Interventions/Control_10



Eligibility

Age-lower limit

20 years-old <=

Age-upper limit


Not applicable

Gender

Female

Key inclusion criteria

Inclusion criteria of Study 1 will be (1) 20 years of age or older, (2) pregnant women who were expecting delivery at 12-20 weeks gestation, and (3) had no history of depression in the past year.
Inclusion criteria of Study 2 will be study participants in Study 1 who agreed to participate in peer support using the app and peer support meetings held in the metaverse space by 24 weeks' gestation.

Key exclusion criteria

None

Target sample size

2000


Research contact person

Name of lead principal investigator

1st name Daisuke
Middle name
Last name Nishi

Organization

The University of Tokyo

Division name

Department of Mental Health, Graduate School of Medicine

Zip code

1130033

Address

7-3-1, Hongo, Bunkyoku

TEL

0358413612

Email

d-nishi@m.u-tokyo.ac.jp


Public contact

Name of contact person

1st name Daisuke
Middle name
Last name Nishi

Organization

The University of Tokyo

Division name

Department of Mental Health, Graduate School of Medicine

Zip code

113-0033

Address

7-3-1, Hongo, Bunkyoku

TEL

0358413612

Homepage URL


Email

d-nishi@m.u-tokyo.ac.jp


Sponsor or person

Institute

The University of Tokyko

Institute

Department

Personal name

Nishi


Funding Source

Organization

Ministry of Education

Organization

Division

Category of Funding Organization

Japanese Governmental office

Nationality of Funding Organization

Japan


Other related organizations

Co-sponsor


Name of secondary funder(s)



IRB Contact (For public release)

Organization

The Research Ethics Review Board of Graduate School of Medicine/Faculty of Medicine, the University of Tokyo

Address

7-3-1, Hongo, Bunkyoku

Tel

03-5841-0818

Email

ethics@m.u-tokyo.ac.jp


Secondary IDs

Secondary IDs

NO

Study ID_1


Org. issuing International ID_1


Study ID_2


Org. issuing International ID_2


IND to MHLW



Institutions

Institutions



Other administrative information

Date of disclosure of the study information

2023 Year 11 Month 30 Day


Related information

URL releasing protocol


Publication of results

Unpublished


Result

URL related to results and publications


Number of participants that the trial has enrolled


Results


Results date posted


Results Delayed


Results Delay Reason


Date of the first journal publication of results


Baseline Characteristics


Participant flow


Adverse events


Outcome measures


Plan to share IPD


IPD sharing Plan description



Progress

Recruitment status

Preinitiation

Date of protocol fixation

2023 Year 10 Month 30 Day

Date of IRB

2023 Year 11 Month 06 Day

Anticipated trial start date

2023 Year 12 Month 22 Day

Last follow-up date

2025 Year 03 Month 31 Day

Date of closure to data entry


Date trial data considered complete


Date analysis concluded



Other

Other related information



Management information

Registered date

2023 Year 10 Month 01 Day

Last modified on

2023 Year 12 Month 19 Day



Link to view the page

Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000059782


Research Plan
Registered date File name

Research case data specifications
Registered date File name

Research case data
Registered date File name