Automated Assessment of Mental Health in the Workplace

This study has been completed.
Sponsor:
Collaborator:
Information provided by:
Boston Medical Center
ClinicalTrials.gov Identifier:
NCT00134576
First received: August 23, 2005
Last updated: June 1, 2010
Last verified: May 2010
  Purpose

The purpose of this study is to design, refine, and test for the effectiveness of a computer-based telephone system (Telephone-Linked Communications for Detection of Mental Health Disorders in the Workplace; TLC-Detect) that will screen workers for mental health distress; educate them about seeking treatment; and follow up with them over a 6 month period.


Condition Intervention
Mental Disorders
Behavioral: Computer Assisted Education for Behavioral Change

Study Type: Interventional
Study Design: Allocation: Randomized
Endpoint Classification: Efficacy Study
Intervention Model: Factorial Assignment
Masking: Open Label
Official Title: Automated Assessment of Mental Health in the Workplace

Resource links provided by NLM:


Further study details as provided by Boston Medical Center:

Primary Outcome Measures:
  • Absenteeism and presentism (functionality at work), measured every three months for 6 months [ Time Frame: 6 months ] [ Designated as safety issue: No ]

Secondary Outcome Measures:
  • Treatment status, timing of measurement depends upon symptom severity [ Time Frame: 6 months ] [ Designated as safety issue: No ]
  • Health status measured every three months for 6 months [ Time Frame: 6 months ] [ Designated as safety issue: No ]

Estimated Enrollment: 150
Study Start Date: May 2007
Study Completion Date: January 2009
Primary Completion Date: September 2008 (Final data collection date for primary outcome measure)
Intervention Details:
    Behavioral: Computer Assisted Education for Behavioral Change
    TLC-Detect will provide subjects in the intervention group with information about each diagnosed mental health disorder. TLC-Detect will then give the Treatment Module and will tell the intervention subjects that it will call back in one month for a follow-up or the next week if a subject is comorbid with other disorders.
  Eligibility

Ages Eligible for Study:   18 Years and older
Genders Eligible for Study:   Both
Accepts Healthy Volunteers:   No
Criteria

Inclusion Criteria:

  • Employment with benefits at Boston Medical Center, Boston University, or Florida Power and Light Company
  • Ability to speak and understand conversational English
  • > 18 years of age
  • Access to a touch-tone telephone
  • Screen positive for the World Health Organization (WHO)-5 Well-Being Index

Exclusion Criteria:

  • Being under treatment (medication or therapy) for a mental health disorder
  • Taking medication for a serious/major medical disorder that interferes with normal life
  • Taking medication prescribed for mental health treatment on a daily basis
  • Diagnosed with schizophrenia
  • Planning to go on leave for over 6 months
  Contacts and Locations
Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the Contacts provided below. For general information, see Learn About Clinical Studies.

Please refer to this study by its ClinicalTrials.gov identifier: NCT00134576

Locations
United States, Massachusetts
Boston Medical Center
Boston, Massachusetts, United States, 02118
Sponsors and Collaborators
Boston Medical Center
Investigators
Principal Investigator: Ramesh Farzanfar, PhD Boston University
  More Information

No publications provided

Responsible Party: Dr. Ramesh Farzanfar, Boston University
ClinicalTrials.gov Identifier: NCT00134576     History of Changes
Other Study ID Numbers: RO1 DP000116
Study First Received: August 23, 2005
Last Updated: June 1, 2010
Health Authority: United States: Institutional Review Board

Additional relevant MeSH terms:
Mental Disorders
Psychotic Disorders
Schizophrenia and Disorders with Psychotic Features

ClinicalTrials.gov processed this record on October 28, 2014