Literature DB >> 925165

Demographic and clinical characteristics as predictors of length of hospitalization and readmission.

P H Munley, N Devone, C M Einhorn, I A Gash, L Hyer, K C Kuhn.   

Abstract

The present study investigated demographic and clinical characteristics of psychiatric patients in relation to the two criterion variables of length of hospitalization and readmission within 3 months of discharge. Stepwise multiple regression analysis identified five variables as the optimal set of predictors for length of hospitalization: age, history of commitment, number of prior psychiatric hospitalizations, recent employment history, and past history of suicidal behavior (R = .451). Regression analysis also identified six variables as the optimal set of predictors for readmission within 3 months of discharge: type of discharge, number of prior psychiatric hospitalizations, race, suicide attempt within 1 month prior to admission, subjective report of depression upon admission, and occupational level (R = .452). Implications of the findings for identifying short-term treatment candidates and factors related to readmission are discussed.

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Year:  1977        PMID: 925165     DOI: 10.1002/1097-4679(197710)33:4<1093::aid-jclp2270330438>3.0.co;2-9

Source DB:  PubMed          Journal:  J Clin Psychol        ISSN: 0021-9762


  6 in total

1.  Social indicators and the prediction of psychiatric inpatient service utilisation.

Authors:  P M Burgess; C M Joyce; P E Pattison; S J Finch
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  1992-03       Impact factor: 4.328

2.  On characterizing new psychiatric long-stay patients.

Authors:  J Jakubaschk; W Kopp
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  1989-03       Impact factor: 4.328

3.  Predicting length of stay for patients with psychoses.

Authors:  C Stoskopf; S D Horn
Journal:  Health Serv Res       Date:  1992-02       Impact factor: 3.402

4.  Factors affecting early unplanned readmission of elderly patients to hospital.

Authors:  E I Williams; F Fitton
Journal:  BMJ       Date:  1988-09-24

5.  Number of prior episodes and the presence of depressive symptoms are associated with longer length of stay for patients with acute manic episodes.

Authors:  Manuel Martin-Carrasco; Ana Gonzalez-Pinto; Jaime L Galan; Javier Ballesteros; Jorge Maurino; Eduard Vieta
Journal:  Ann Gen Psychiatry       Date:  2012-03-10       Impact factor: 3.455

6.  Machine learning for predicting readmission risk among the frail: Explainable AI for healthcare.

Authors:  Somya D Mohanty; Deborah Lekan; Thomas P McCoy; Marjorie Jenkins; Prashanti Manda
Journal:  Patterns (N Y)       Date:  2021-12-03
  6 in total

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