Literature DB >> 22710574

Predictors of hospitalization after an emergency department visit for California youths with psychiatric disorders.

Lynne C Huffman1, N Ewen Wang, Olga Saynina, Frances J Wren, Paul H Wise, Sarah McCue Horwitz.   

Abstract

OBJECTIVE: This study examined patient, hospital, and county characteristics associated with hospitalization after emergency department visits for pediatric mental health problems.
METHODS: Retrospective analysis of emergency department encounters (N=324,997) of youths age five years to 17 years with psychiatric diagnoses was conducted with 2005-2009 California Office of Statewide Health Planning and Development emergency department statewide data.
RESULTS: For youths with any psychiatric diagnosis, 23.4% of emergency department encounters resulted in hospitalization. In these cases, hospitalization largely was predicted by clinical need. Nonclinical factors that decreased the likelihood of hospitalization included demographic characteristics (such as younger age, lack of insurance, and rural residence) and resource characteristics (private hospital ownership, lack of psychiatric consultation in the emergency department, and lack of pediatric psychiatric beds). For youths with a significant psychiatric diagnosis plus a suicide attempt, 53.8% of emergency department encounters resulted in hospitalization. In these presumably more life-threatening cases, nonclinical factors that decreased the likelihood of hospitalization persisted: demographic characteristics (lack of insurance and rural residence) and resource characteristics (public hospital ownership, lack of psychiatric consultation, and lack of pediatric psychiatric beds).
CONCLUSIONS: Mental health service delivery can improve only by addressing nonclinical demographic and resource obstacles that independently decrease the likelihood of hospitalization after an emergency department visit for a mental health issue; this is true even for the most severely ill youths-those with a suicide attempt as well as a serious psychiatric diagnosis.

Entities:  

Mesh:

Year:  2012        PMID: 22710574     DOI: 10.1176/appi.ps.201000482

Source DB:  PubMed          Journal:  Psychiatr Serv        ISSN: 1075-2730            Impact factor:   3.084


  7 in total

1.  Association of positive responses to suicide screening questions with hospital admission and repeated emergency department visits in children and adolescents.

Authors:  Elizabeth D Ballard; Lisa M Horowitz; David A Jobes; Barry M Wagner; Maryland Pao; Stephen J Teach
Journal:  Pediatr Emerg Care       Date:  2013-10       Impact factor: 1.454

2.  Mental Illness Drives Hospitalizations for Detained California Youth.

Authors:  Arash Anoshiravani; Olga Saynina; Lisa Chamberlain; Benjamin A Goldstein; Lynne C Huffman; N Ewen Wang; Paul H Wise
Journal:  J Adolesc Health       Date:  2015-07-21       Impact factor: 5.012

3.  Psychiatric Emergencies in Minors: The Impact of Sex and Age.

Authors:  Pety So; André I Wierdsma; Robert R J M Vermeiren; Cornelis L Mulder
Journal:  Pediatr Emerg Care       Date:  2022-03-16       Impact factor: 1.602

4.  Current State of Child Health in Rural America: How Context Shapes Children's Health.

Authors:  Janice C Probst; Judith C Barker; Alexandra Enders; Paula Gardiner
Journal:  J Rural Health       Date:  2016-09-28       Impact factor: 4.333

5.  Evaluation and disposition of Medicaid-insured children and adolescents with suicide attempts.

Authors:  Candice L Williams; William O Cooper; Leanne S Balmer; Judith A Dudley; Patricia S Gideon; Michelle M DeRanieri; Shannon M Stratton; S Todd Callahan
Journal:  Acad Pediatr       Date:  2014-06-16       Impact factor: 3.107

6.  Youth Psychiatric Hospitalization in Israel during COVID-19: A Multi-Center Study.

Authors:  Chen Dror; Nimrod Hertz-Palmor; Yael Barzilai; Schoen Gila; Bretler-Zager Tali; Gizunterman Alex; Lahav Tal; Kritchmann-Lupo Maya; Saker Talia; Gothelf Doron; Yuval Bloch
Journal:  Int J Environ Res Public Health       Date:  2022-08-10       Impact factor: 4.614

7.  Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments.

Authors:  Truyen Tran; Wei Luo; Dinh Phung; Richard Harvey; Michael Berk; Richard Lee Kennedy; Svetha Venkatesh
Journal:  BMC Psychiatry       Date:  2014-03-14       Impact factor: 3.630

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.