Prediction of Suicide Attempts Using Clinician Assessment, Patient Self-report, and Electronic Health Records-Reference-Cited by-同舟云学术

Prediction of Suicide Attempts Using Clinician Assessment, Patient Self-report, and Electronic Health Records

Published:2022-01-27 Issue:1 Volume:5 Page:e2144373
ISSN:2574-3805
Container-title:JAMA Network Open
language:en
Short-container-title:JAMA Netw Open

Author:

Nock Matthew K.¹²³,Millner Alexander J.¹²,Ross Eric L.³⁴,Kennedy Chris J.⁵,Al-Suwaidi Maha¹,Barak-Corren Yuval⁶,Castro Victor M.³,Castro-Ramirez Franchesca¹,Lauricella Tess¹,Murman Nicole¹,Petukhova Maria⁷,Bird Suzanne A.³,Reis Ben⁶,Smoller Jordan W.⁴⁸,Kessler Ronald C.⁷

Affiliation:

1. Department of Psychology, Harvard University, Cambridge, Massachusetts

2. Mental Health Research Program, Franciscan Children’s, Brighton, Massachusetts

3. Department of Psychiatry, Massachusetts General Hospital, Boston

4. Department of Psychiatry, Harvard Medical School, Boston, Massachusetts

5. Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts

6. Department of Bioinformatics, Boston Children’s Hospital, Boston, Massachusetts

7. Department of Healthcare Policy, Harvard Medical School, Boston, Massachusetts

8. Center for Precision Psychiatry, Department of Psychiatry, Massachusetts General Hospital, Boston

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2788456/nock_2022_oi_211228_1643157306.10557.pdf

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4. Accuracy requirements for cost-effective suicide risk prediction among primary care patients in the US.;Ross;JAMA Psychiatry,2021

5. Economic evaluation of brief cognitive behavioral therapy vs treatment as usual for suicidal US Army soldiers.;Bernecker;JAMA Psychiatry,2020

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