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Reducing Self-Stigma Among Individuals with History of Childhood Maltreatment: a Cross-Cultural Lens

R

Research Foundation for Mental Hygiene (RFMH)

Status

Completed

Conditions

Help-Seeking Behavior
Child Neglect
Child Abuse
Stigma, Social

Treatments

Behavioral: Video

Study type

Interventional

Funder types

Other

Identifiers

Details and patient eligibility

About

Individuals who report experiencing any kind of abuse during childhood report shame and self-blame, often leading to self-stigma and a reluctance to reveal their experiences and seek help. Such stigma may aggravate the mental health consequences of child maltreatment (CM).

The investigators hypothesize that:

  1. The brief video-based intervention will have the immediate and repeated effect of reducing self-stigma among CM survivors compared with the control condition.
  2. The brief video-based intervention will increase seeking treatment compared with the control condition.
  3. The brief video-based intervention will show similar effects in reducing self-stigma across multiple countries.

Full description

Prior research suggests that social contact-based interventions are the most efficient way of reducing stigma. This study aims to address self-stigma and empower individuals who self-reported experiencing any kind of abuse during childhood and increase their openness to seeking help, if needed.

Four hundred participants with self-reported experience of any kind of childhood abuse will be recruited to participate in a Randomized Controlled Trial (RCT) testing the efficacy of the intervention. Participants will be randomized into one of two arms: 1) A 2-minute video intervention in which a CM survivor (presented by an actor) shares their personal CM experience and describes how they were able to overcome feelings of shame and self-blame to seek mental health care; or 2) A 2-minute control video using the same actor, but without a personal narrative of CM experience. Both videos will be preceded by and immediately followed by questionnaires assessing self-stigma and openness to seeking treatment. An additional assessment of emotional engagement will be added immediately following intervention delivery. Following the intervention, there will be a 30- day follow-up to examine potential long-term effects.

The results will be analyzed alongside results from parallel protocols being conducted by partner sites in other countries (Switzerland, Sweden, Japan, Peru, India, Australia, Turkey, South Africa, and Israel). Each site will conduct the study under their own university's purview and with their own protocol, and only deidentified data will be shared for analysis.

All study procedures will be conducted remotely via CloudReseach and Mechanical Turk, which is a crowdsourcing platform. The study survey will be hosted by Qualtrics.

Enrollment

964 patients

Sex

All

Ages

18 to 80 years old

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Age 18-80
  • US resident
  • Individuals who endorse yes to one of the following items: physical aggression in family or household, emotional or verbal abuse in family or household, sexual abuse or inappropriate sexual experiences, negligence - physical or emotional, mental illness or substance abuse at home, incarceration of family member
  • Fluent in English and able to give informed consent

Exclusion criteria

  • N/A

Trial design

Primary purpose

Other

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Single Blind

964 participants in 2 patient groups

Video with Childhood Maltreatment-Related Content
Experimental group
Description:
Participants will view a video of an actor describing the story of an individual who experienced childhood maltreatment and how they overcame its effects on their life.
Treatment:
Behavioral: Video
Control Video
No Intervention group
Description:
Participants in this arm will view a same-length video with the same actor, but without a personal narrative of CM experience.

Trial contacts and locations

1

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Central trial contact

Yuval Neria, PhD; Shilat Haim-Nachum, PhD

Data sourced from clinicaltrials.gov

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