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Automated Assessment of Mental Health in the Workplace

This study has been completed.
Sponsor:
Collaborator:
Centers for Disease Control and Prevention
Information provided by:
Boston Medical Center
ClinicalTrials.gov Identifier:
NCT00134576
First received: August 23, 2005
Last updated: June 1, 2010
Last verified: May 2010
History of Changes

August 23, 2005
June 1, 2010
May 2007
September 2008   (final data collection date for primary outcome measure)
Absenteeism and presentism (functionality at work), measured every three months for 6 months [ Time Frame: 6 months ] [ Designated as safety issue: No ]
Absenteeism and presentism (functionality at work), measured every three months for one year
Complete list of historical versions of study NCT00134576 on ClinicalTrials.gov Archive Site
  • 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 ]
  • Treatment status, timing of measurement depends upon symptom severity
  • Health status measured every three months for one year
Not Provided
Not Provided
 
Automated Assessment of Mental Health in the Workplace
Automated Assessment of Mental Health in the Workplace

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.
Not Provided
Interventional
Not Provided
Allocation: Randomized
Endpoint Classification: Efficacy Study
Intervention Model: Factorial Assignment
Masking: Open Label
Mental Disorders
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.
Not Provided
Not Provided

*   Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
 
Completed
150
January 2009
September 2008   (final data collection date for primary outcome measure)

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
Both
18 Years and older
No
Contact information is only displayed when the study is recruiting subjects
United States
 
NCT00134576
RO1 DP000116
No
Dr. Ramesh Farzanfar, Boston University
Boston Medical Center
Centers for Disease Control and Prevention
Principal Investigator: Ramesh Farzanfar, PhD Boston University
Boston Medical Center
May 2010

ICMJE     Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP