Literature DB >> 9406269

Instability before discharge and previous psychiatric admissions as predictors of early readmission.

E P Monnelly1.   

Abstract

In a retrospective chart review, the quality of care given 531 hospitalized veterans during an index admission was examined to determine whether patient characteristics or aspects of treatment differed between 243 patients readmitted within 30 days of discharge and a control group of 288 patients not readmitted for at least six months. The strongest predictor of early readmission was a greater number of previous admissions. Patient instability in the five days before discharge also predicted early readmission. These results may help identify patients at higher risk of early rehospitalization. Ensuring that patients with higher rates of rehospitalization are stable before discharge may help reduce early readmission.

Entities:  

Mesh:

Year:  1997        PMID: 9406269     DOI: 10.1176/ps.48.12.1584

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


  13 in total

1.  Home-based treatment, rates of ambulatory follow-up, and psychiatric rehospitalization in a Medicaid managed care population.

Authors:  Scott Frederick; Karen Caldwell; Doris McGartland Rubio
Journal:  J Behav Health Serv Res       Date:  2002-11       Impact factor: 1.505

2.  Thirty-Day Hospital Readmission for Medicaid Enrollees with Schizophrenia: The Role of Local Health Care Systems.

Authors:  Alisa B Busch; Arnold M Epstein; Thomas G McGuire; Sharon-Lise T Normand; Richard G Frank
Journal:  J Ment Health Policy Econ       Date:  2015-09

3.  Predicting future hospital utilization for mental health conditions.

Authors:  Andrew Kolbasovsky; Leonard Reich; Robert Futterman
Journal:  J Behav Health Serv Res       Date:  2006-12-12       Impact factor: 1.505

4.  Hospital readmission among medicaid patients with an index hospitalization for mental and/or substance use disorder.

Authors:  Tami L Mark; Tami Mark; Karen Smoyer Tomic; Niranjana Kowlessar; Bong Chul Chu; Rita Vandivort-Warren; Shelagh Smith
Journal:  J Behav Health Serv Res       Date:  2013-04       Impact factor: 1.505

5.  The role of psychometric data in predicting inpatient mental health service utilization.

Authors:  P M Averill; D R Hopko; D R Small; H B Greenlee; R V Varner
Journal:  Psychiatr Q       Date:  2001

6.  Effectiveness of a high end users program for persons with psychiatric disorders.

Authors:  Aileen B Rothbard; Sumedha Chhatre; Cynthia Zubritsky; Karen Fortuna; Steven Dettwyler; Renata J Henry; Melissa Smith
Journal:  Community Ment Health J       Date:  2012-10

7.  Risk Factors for Psychiatric Hospital Admission for Participants in California's Full-Service Partnership Program.

Authors:  Michael J Penkunas; Stephen Hahn-Smith
Journal:  Community Ment Health J       Date:  2014-12-20

8.  Risk Factors for Inpatient Psychiatric Readmission: Are There Gender Differences?

Authors:  Katherine Rieke; Corey McGeary; Kendra K Schmid; Shinobu Watanabe-Galloway
Journal:  Community Ment Health J       Date:  2015-08-25

9.  Measuring observed mental state in acute psychiatric inpatients.

Authors:  Ketrina A Sly; Terry J Lewin; Vaughan J Carr; Agatha M Conrad; Martin Cohen; Srinivasan Tirupati; Philip B Ward; Tim Coombs
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2008-08-23       Impact factor: 4.328

10.  Predictors of 30-day rehospitalization in a sample of hospitalized patients with Bipolar I disorder.

Authors:  Melanie L Bozzay; Brandon A Gaudiano; Sarah Arias; Gary Epstein-Lubow; Ivan W Miller; Lauren M Weinstock
Journal:  Psychiatry Res       Date:  2019-09-07       Impact factor: 3.222

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.