Literature DB >> 25567824

Monitoring suicidal patients in primary care using electronic health records.

Heather D Anderson1, Wilson D Pace2, Elias Brandt2, Rodney D Nielsen2, Richard R Allen2, Anne M Libby2, David R West2, Robert J Valuck2.   

Abstract

INTRODUCTION: Patients at risk for suicide often come into contact with primary care providers, many of whom use electronic health records (EHRs) for charting. It is not known, however, how often suicide ideation or attempts are documented in EHRs.
METHODS: We used retrospective analyses of de-identified EHR data from a distributed health network of primary care organizations to estimate the frequency of using diagnostic codes to record suicidal ideation and attempts. Data came from 3 sources: a clinician notes field processed using natural language processing; a suicidal ideation item on a patient-reported depression severity instrument (9-item Patient Health Questionnaire [PHQ-9]); and diagnostic codes from the EHR.
RESULTS: Only 3% of patients with an indication of suicidal ideation in the notes field had a corresponding International Classification of Diseases, 9th Revision (ICD-9), code (κ = 0.036). Agreement between an indication of suicidal ideation from item 9 of the PHQ-9 and an ICD-9 code was slightly higher (κ = 0.068). Suicide attempt indicated in the notes field was more likely to be recorded using an ICD-9 code (19%; κ = 0.18).
CONCLUSIONS: Few cases of suicidal ideation and attempt were documented in patients' EHRs using diagnostic codes. Increased documentation of suicidal ideation and behaviors in patients' EHRs may improve their monitoring in the health care system. © Copyright 2015 by the American Board of Family Medicine.

Entities:  

Keywords:  Attempted; Electronic Health Records; Natural Language Processing; Suicidal Ideation; Suicide

Mesh:

Year:  2015        PMID: 25567824     DOI: 10.3122/jabfm.2015.01.140181

Source DB:  PubMed          Journal:  J Am Board Fam Med        ISSN: 1557-2625            Impact factor:   2.657


  31 in total

1.  Which Chart Elements Accurately Identify Emergency Department Visits for Suicidal Ideation or Behavior?

Authors:  Sarah A Arias; Edwin D Boudreaux; Elizabeth Chen; Ivan Miller; Carlos A Camargo; Richard N Jones; Lisa Uebelacker
Journal:  Arch Suicide Res       Date:  2019-06-11

2.  Comment on: "Mixed Approach Retrospective Analyses of Suicide and Suicidal Ideation for Brand Compared with Generic Central Nervous System Drugs".

Authors:  Courtney M Suggs; Robert L Levin; Andrew D Mosholder; Richard S Swain; Liang Zhao
Journal:  Drug Saf       Date:  2018-12       Impact factor: 5.606

3.  Selection of Clinical Text Features for Classifying Suicide Attempts.

Authors:  Ryan S Buckland; Joseph W Hogan; Elizabeth S Chen
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

4.  Nonpharmacological Treatment of Army Service Members with Chronic Pain Is Associated with Fewer Adverse Outcomes After Transition to the Veterans Health Administration.

Authors:  Esther L Meerwijk; Mary Jo Larson; Eric M Schmidt; Rachel Sayko Adams; Mark R Bauer; Grant A Ritter; Chester Buckenmaier; Alex H S Harris
Journal:  J Gen Intern Med       Date:  2019-10-28       Impact factor: 5.128

5.  Incidence of mental health hospitalizations, treated self-harm, and emergency room visits following new anxiety disorder diagnoses in privately insured U.S. children.

Authors:  Greta A Bushnell; Bradley N Gaynes; Scott N Compton; Stacie B Dusetzina; M Alan Brookhart; Til Stürmer
Journal:  Depress Anxiety       Date:  2018-10-24       Impact factor: 6.505

6.  User-Centered Design of a Machine Learning Intervention for Suicide Risk Prediction in a Military Setting.

Authors:  Carrie Reale; Laurie L Novak; Katelyn Robinson; Christopher L Simpson; Jessica D Ribeiro; Joseph C Franklin; Michael Ripperger; Colin G Walsh
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

Review 7.  Using Electronic Health Records for Population Health Research: A Review of Methods and Applications.

Authors:  Joan A Casey; Brian S Schwartz; Walter F Stewart; Nancy E Adler
Journal:  Annu Rev Public Health       Date:  2015-12-11       Impact factor: 21.981

8.  PHQ-9 Administration in Outpatient Adolescent Psychiatry Services.

Authors:  Keneisha Sinclair-McBride; Nicholas Morelli; Michaela Gusman
Journal:  Psychiatr Serv       Date:  2018-07-01       Impact factor: 3.084

9.  Detection of Suicidality in Adolescents with Autism Spectrum Disorders: Developing a Natural Language Processing Approach for Use in Electronic Health Records.

Authors:  Johnny Downs; Sumithra Velupillai; Gkotsis George; Rachel Holden; Maxim Kikoler; Harry Dean; Andrea Fernandes; Rina Dutta
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

10.  Defining Major Depressive Disorder Cohorts Using the EHR: Multiple Phenotypes Based on ICD-9 Codes and Medication Orders.

Authors:  Wendy Marie Ingram; Anna M Baker; Christopher R Bauer; Jason P Brown; Fernando S Goes; Sharon Larson; Peter P Zandi
Journal:  Neurol Psychiatry Brain Res       Date:  2020-02-21
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.