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Social Science & Medicine
Article . 2009 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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The influence of institutional characteristics on length of stay for psychiatric patients: A national database study in South Korea

Authors: Woojin, Chung; Woo Hyun, Cho; Chung Won, Yoon;

The influence of institutional characteristics on length of stay for psychiatric patients: A national database study in South Korea

Abstract

The institutionalization of psychiatric patients has put a tremendous burden on many societies, but few studies have examined the effects of institutional characteristics on patient length of stay (LOS). This paper investigated the association between institutional characteristics and LOS for 160,517 psychiatric patients in South Korea by applying a two-level modeling technique to administrative claims databases covering the entire patient population. Patient LOS, expressed in terms of days, was analyzed by taking account of institutional type, ownership, location, inpatient capacity, staffing, and patient demographics. The characteristics of inpatients were used as control variables and consisted of gender, age, sub-diagnosis, and the type of national health security program. The main findings of this study are: (1) patient LOS was 69% longer at psychiatric hospitals than at tertiary-care hospitals; (2) neither location nor inpatient capacity was associated with LOS; (3) larger staffs reduced LOS; and (4), LOS increased with a higher proportion of male inpatients, inpatients > or =65 years old, or inpatients diagnosed with organic or schizophrenic disorders, possibly through contextual effects. The results of this study suggest that researchers and policy makers could improve their assessment of psychiatric patient LOS and its association with health outcome by taking into account institutional characteristics and using multi-level analyses.

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Keywords

Adult, Hospitals, Psychiatric, Male, Adolescent, Databases, Factual, Health Facility Administration*, 150, Personnel Staffing and Scheduling, 610, Personnel Staffing and Scheduling/statistics & numerical data, Institutions, Databases, Young Adult, Sex Factors, Residence Characteristics, South Korea, Humans, Factual, Aged, Demography, Length of Stay/statistics & numerical data*, Korea, Mental Disorders, Ownership, Residence Characteristics/statistics & numerical data, Age Factors, Hospital characteristics, Length of Stay, Middle Aged, Hospitals, Psychiatric/organization & administration, Psychiatric care, Mental Disorders/therapy*, Length of stay, Female, Health Facility Administration

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Top 10%
Top 10%
Top 10%
Green