Modeling socio-demographic and clinical factors influencing psychiatric inpatient service use: a comparison of models for zero-Inflated and overdispersed count data

Abstract Background Psychiatric disorders may occur as a single episode or be persistent and relapsing, sometimes leading to suicidal behaviours. The exact causes of psychiatric disorders are hard to determine but easy access to health care services can help to reduce their severity. The aim of this...

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Main Authors: Sharmin Sharker, Lloyd Balbuena, Gene Marcoux, Cindy Xin Feng
Format: Article
Language:English
Published: BMC 2020-09-01
Series:BMC Medical Research Methodology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12874-020-01112-w
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spelling doaj-f85851372624480ba8cc5d55314c0b482020-11-25T03:42:22ZengBMCBMC Medical Research Methodology1471-22882020-09-0120111010.1186/s12874-020-01112-wModeling socio-demographic and clinical factors influencing psychiatric inpatient service use: a comparison of models for zero-Inflated and overdispersed count dataSharmin Sharker0Lloyd Balbuena1Gene Marcoux2Cindy Xin Feng3School of Public Health, University of SaskatchewanDepartment of Psychiatry, College of Medicine, University of SaskatchewanDepartment of Psychiatry, College of Medicine, University of SaskatchewanSchool of Public Health, University of SaskatchewanAbstract Background Psychiatric disorders may occur as a single episode or be persistent and relapsing, sometimes leading to suicidal behaviours. The exact causes of psychiatric disorders are hard to determine but easy access to health care services can help to reduce their severity. The aim of this study was to investigate the factors associated with repeated hospitalizations among the patients with psychiatric illness, which may help the policy makers to target the high-risk groups in a more focused manner. Methods A large linked administrative database consisting of 200,537 patients with psychiatric diagnosis in the years of 2008-2012 was used in this analysis. Various counts regression models including zero-inflated and hurdle models were considered for analyzing the hospitalization rate among patients with psychiatric disorders within three months follow-up since their index visit dates. The covariates for this study consisted of socio-demographic and clinical characteristics of the patients. Results The results show that the odds of hospitalization are significantly higher among registered Indians, male patients and younger patients. Hospitalization rate depends on the patients’ disease types. Having previously visited a general physician served a protective role for psychiatric hospitalization during the study period. Patients who had seen an outpatient psychiatrist were more likely to have a higher number of psychiatric hospitalizations. This may indicate that psychiatrists tend to see patients with more severe illnesses, who require hospital-based care for managing their illness. Conclusions Providing easier access to registered Indian people and youth may reduce the need for hospital-based care. Patients with mental health conditions may benefit from greater and more timely access to primary care.http://link.springer.com/article/10.1186/s12874-020-01112-wRepeated hospitalizationsZero-inflated modelsHurdle modelsModel comparisonModel diagnosis
collection DOAJ
language English
format Article
sources DOAJ
author Sharmin Sharker
Lloyd Balbuena
Gene Marcoux
Cindy Xin Feng
spellingShingle Sharmin Sharker
Lloyd Balbuena
Gene Marcoux
Cindy Xin Feng
Modeling socio-demographic and clinical factors influencing psychiatric inpatient service use: a comparison of models for zero-Inflated and overdispersed count data
BMC Medical Research Methodology
Repeated hospitalizations
Zero-inflated models
Hurdle models
Model comparison
Model diagnosis
author_facet Sharmin Sharker
Lloyd Balbuena
Gene Marcoux
Cindy Xin Feng
author_sort Sharmin Sharker
title Modeling socio-demographic and clinical factors influencing psychiatric inpatient service use: a comparison of models for zero-Inflated and overdispersed count data
title_short Modeling socio-demographic and clinical factors influencing psychiatric inpatient service use: a comparison of models for zero-Inflated and overdispersed count data
title_full Modeling socio-demographic and clinical factors influencing psychiatric inpatient service use: a comparison of models for zero-Inflated and overdispersed count data
title_fullStr Modeling socio-demographic and clinical factors influencing psychiatric inpatient service use: a comparison of models for zero-Inflated and overdispersed count data
title_full_unstemmed Modeling socio-demographic and clinical factors influencing psychiatric inpatient service use: a comparison of models for zero-Inflated and overdispersed count data
title_sort modeling socio-demographic and clinical factors influencing psychiatric inpatient service use: a comparison of models for zero-inflated and overdispersed count data
publisher BMC
series BMC Medical Research Methodology
issn 1471-2288
publishDate 2020-09-01
description Abstract Background Psychiatric disorders may occur as a single episode or be persistent and relapsing, sometimes leading to suicidal behaviours. The exact causes of psychiatric disorders are hard to determine but easy access to health care services can help to reduce their severity. The aim of this study was to investigate the factors associated with repeated hospitalizations among the patients with psychiatric illness, which may help the policy makers to target the high-risk groups in a more focused manner. Methods A large linked administrative database consisting of 200,537 patients with psychiatric diagnosis in the years of 2008-2012 was used in this analysis. Various counts regression models including zero-inflated and hurdle models were considered for analyzing the hospitalization rate among patients with psychiatric disorders within three months follow-up since their index visit dates. The covariates for this study consisted of socio-demographic and clinical characteristics of the patients. Results The results show that the odds of hospitalization are significantly higher among registered Indians, male patients and younger patients. Hospitalization rate depends on the patients’ disease types. Having previously visited a general physician served a protective role for psychiatric hospitalization during the study period. Patients who had seen an outpatient psychiatrist were more likely to have a higher number of psychiatric hospitalizations. This may indicate that psychiatrists tend to see patients with more severe illnesses, who require hospital-based care for managing their illness. Conclusions Providing easier access to registered Indian people and youth may reduce the need for hospital-based care. Patients with mental health conditions may benefit from greater and more timely access to primary care.
topic Repeated hospitalizations
Zero-inflated models
Hurdle models
Model comparison
Model diagnosis
url http://link.springer.com/article/10.1186/s12874-020-01112-w
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