Helping Callers to the National Suicide Prevention Lifeline Who Are at Imminent Risk of Suicide: Evaluation of Caller Risk Profiles and Interventions Implemented-Reference-Cited by-同舟云学术

Helping Callers to the National Suicide Prevention Lifeline Who Are at Imminent Risk of Suicide: Evaluation of Caller Risk Profiles and Interventions Implemented

Published:2015-08-04 Issue:2 Volume:46 Page:172-190
ISSN:0363-0234
Container-title:Suicide and Life-Threatening Behavior
language:en
Short-container-title:Suicide Life Threat Behav

Author:

Gould Madelyn S.¹²³,Lake Alison M.⁴,Munfakh Jimmie Lou⁴,Galfalvy Hanga⁵⁶,Kleinman Marjorie⁴,Williams Caitlin⁷,Glass Andrew⁸,McKeon Richard⁹

Affiliation:

1. Division of Child and Adolescent Psychiatry College of Physicians & Surgeons Columbia University New York NY USA

2. Department of Epidemiology School of Public Health Columbia University New York NY USA

3. New York State Psychiatric Institute New York NY USA

4. Division of Child and Adolescent Psychiatry New York State Psychiatric Institute New York NY USA

5. Department of Psychiatry College of Physicians & Surgeons Columbia University New York NY USA

6. Department of Biostatistics School of Public Health Columbia University New York NY USA

7. Clinical Psychology Auburn University Auburn AL USA

8. Division of Biostatistics Department of Psychiatry Columbia University New York NY USA

9. Division of Prevention, Traumatic Stress, and Special Programs Center for Mental Health Services (CMHS) Substance Abuse and Mental Health Services Administration Rockville MD USA

Funder

Substance Abuse and Mental Health Services Administration

Publisher

Wiley

Subject

Psychiatry and Mental health,Public Health, Environmental and Occupational Health,Clinical Psychology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/sltb.12182

Reference16 articles.

1. Suicide Risk Assessment and Risk Formulation Part II: Suicide Risk Formulation and the Determination of Levels of Risk

2. Suicide Risk Screening and Assessment

3. Prognostic Models to Detect and Monitor the Near-Term Risk of Suicide