Literature DB >> 12851440

Using administrative data to analyze the prevalence and distribution of schizophrenic disorders.

Elliot M Goldner1, Wayne Jones, Paul Waraich.   

Abstract

OBJECTIVE: In order to effectively plan and implement psychiatric services, a clear estimate of the prevalence and distribution of the population in need is required. The authors examined the use of administrative data as a means of estimating the prevalence and distribution of schizophrenic disorders.
METHODS: Administrative health services data for residents of the Canadian province of British Columbia in the age range 15 to 65 years (total population in 1997-1998 of 2,703,588) were examined over a three-year period. Potential cases of schizophrenic disorder were identified on the basis of the presence of a diagnostic code of 295 in one or more of three databases. One-year prevalence rates were estimated for each of the province's geographic regions, and associations with low income and unemployment were examined.
RESULTS: One-year prevalence rate estimates were.45 cases per 100 population in 1996-1997 and 1997-1998 and.42 cases per 100 in 1998-1999. The prevalence estimates of all 88 local health areas in the province were consistent across the three-year period; Pearson correlations were determined to be approximately.9. One-year contact prevalence rates for schizophrenic disorders were significantly correlated in all three years to the percentage of persons with low income in the individual geographic regions but were not correlated with unemployment rates.
CONCLUSIONS: In areas with well-developed health services, analyses of administrative data appear to provide cost-effective means of examining the prevalence and distribution of schizophrenic disorders.

Entities:  

Mesh:

Year:  2003        PMID: 12851440     DOI: 10.1176/appi.ps.54.7.1017

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


  12 in total

1.  Computing disease incidence, prevalence and comorbidity from electronic medical records.

Authors:  Steven C Bagley; Russ B Altman
Journal:  J Biomed Inform       Date:  2016-08-04       Impact factor: 6.317

2.  Treatment prevalence and incidence of schizophrenia in Quebec using a population health services perspective: different algorithms, different estimates.

Authors:  Alain Vanasse; Josiane Courteau; Marie-Josée Fleury; Jean-Pierre Grégoire; Alain Lesage; Jocelyne Moisan
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2011-03-29       Impact factor: 4.328

3.  Examining Variations in the Prevalence of Diagnosed Mood or Anxiety Disorders Among Migrant Groups in Ontario, 1995-2015: A Population-Based, Repeated Cross-Sectional Study.

Authors:  Jordan Edwards; Maria Chiu; Rebecca Rodrigues; Amardeep Thind; Saverio Stranges; Kelly K Anderson
Journal:  Can J Psychiatry       Date:  2021-10-29       Impact factor: 5.321

4.  Validation of a Population-Based Algorithm to Detect Chronic Psychotic Illness.

Authors:  Paul Kurdyak; Elizabeth Lin; Diane Green; Simone Vigod
Journal:  Can J Psychiatry       Date:  2015-08       Impact factor: 4.356

5.  Importance of Geospatial Heterogeneity in Chronic Disease Burden for Policy Planning in an Urban Setting Using a Case Study of Singapore.

Authors:  Ken Wei Tan; Joel R Koo; Jue Tao Lim; Alex R Cook; Borame L Dickens
Journal:  Int J Environ Res Public Health       Date:  2021-04-21       Impact factor: 3.390

6.  Calculating incidence rates and prevalence proportions: not as simple as it seems.

Authors:  Inge Spronk; Joke C Korevaar; René Poos; Rodrigo Davids; Henk Hilderink; François G Schellevis; Robert A Verheij; Mark M J Nielen
Journal:  BMC Public Health       Date:  2019-05-06       Impact factor: 3.295

7.  A Bayesian Approach to Latent Class Modeling for Estimating the Prevalence of Schizophrenia Using Administrative Databases.

Authors:  Vincent Laliberté; Lawrence Joseph; Ian Gold
Journal:  Front Psychiatry       Date:  2015-07-06       Impact factor: 4.157

Review 8.  An evaluation of variation in published estimates of schizophrenia prevalence from 1990─2013: a systematic literature review.

Authors:  Jason C Simeone; Alexandra J Ward; Philip Rotella; Jenna Collins; Ricarda Windisch
Journal:  BMC Psychiatry       Date:  2015-08-12       Impact factor: 3.630

Review 9.  Prevalence of psychotic disorders and its association with methodological issues. A systematic review and meta-analyses.

Authors:  Berta Moreno-Küstner; Carlos Martín; Loly Pastor
Journal:  PLoS One       Date:  2018-04-12       Impact factor: 3.240

10.  The prevalence, incidence, and admission rate of diagnosed schizophrenia spectrum disorders in Korea, 2008-2017: A nationwide population-based study using claims big data analysis.

Authors:  Yoon-Sun Jung; Young-Eun Kim; Dun-Sol Go; Seok-Jun Yoon
Journal:  PLoS One       Date:  2021-08-12       Impact factor: 3.240

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