Heather M Orpana1. 1. Statistics Canada & School of Psychology, University of Ottawa, Ottawa, ON.
Abstract
OBJECTIVE: To use longitudinal data to group individuals based on their pattern of episodes of high distress, and to identify the socio-demographic correlates of these groups as well as their healthcare utilization. DATA SOURCES/STUDY DESIGN: The National Population Health Survey (NPHS) was used to study 15,254 individuals over a period of 10 years from 1994/95 to 2004/05. We examined the socio-demographic correlates and healthcare utilization of different distress pattern groups. PRINCIPAL FINDINGS: Significant differences between the no distress, single and multiple distress episode groups were observed on both socio-demographic characteristics and healthcare utilization. CONCLUSIONS: Data about the same individuals over time provide better information than data collected at a single point in time. This information can be used to improve planning and provision of mental healthcare services.
OBJECTIVE: To use longitudinal data to group individuals based on their pattern of episodes of high distress, and to identify the socio-demographic correlates of these groups as well as their healthcare utilization. DATA SOURCES/STUDY DESIGN: The National Population Health Survey (NPHS) was used to study 15,254 individuals over a period of 10 years from 1994/95 to 2004/05. We examined the socio-demographic correlates and healthcare utilization of different distress pattern groups. PRINCIPAL FINDINGS: Significant differences between the no distress, single and multiple distress episode groups were observed on both socio-demographic characteristics and healthcare utilization. CONCLUSIONS: Data about the same individuals over time provide better information than data collected at a single point in time. This information can be used to improve planning and provision of mental healthcare services.
Authors: R C Kessler; G Andrews; L J Colpe; E Hiripi; D K Mroczek; S L T Normand; E E Walters; A M Zaslavsky Journal: Psychol Med Date: 2002-08 Impact factor: 7.723