<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Hoeck,S.</style></author><author><style face="normal" font="default" size="100%">Johan Van der Heyden</style></author><author><style face="normal" font="default" size="100%">Geerts,J.</style></author><author><style face="normal" font="default" size="100%">Van Hal,G.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Equity in GP and specialist contacts by older persons in Belgium</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Public Health</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">2001</style></keyword><keyword><style  face="normal" font="default" size="100%">2004</style></keyword><keyword><style  face="normal" font="default" size="100%">Belgian</style></keyword><keyword><style  face="normal" font="default" size="100%">Belgium</style></keyword><keyword><style  face="normal" font="default" size="100%">CONTACT</style></keyword><keyword><style  face="normal" font="default" size="100%">CONTACTS</style></keyword><keyword><style  face="normal" font="default" size="100%">cross sectional</style></keyword><keyword><style  face="normal" font="default" size="100%">cross sectional studies</style></keyword><keyword><style  face="normal" font="default" size="100%">Cross-sectional</style></keyword><keyword><style  face="normal" font="default" size="100%">cross-sectional studies</style></keyword><keyword><style  face="normal" font="default" size="100%">cross-sectional study</style></keyword><keyword><style  face="normal" font="default" size="100%">differences</style></keyword><keyword><style  face="normal" font="default" size="100%">ELDERLY</style></keyword><keyword><style  face="normal" font="default" size="100%">elderly people</style></keyword><keyword><style  face="normal" font="default" size="100%">Elderly population</style></keyword><keyword><style  face="normal" font="default" size="100%">equity</style></keyword><keyword><style  face="normal" font="default" size="100%">general</style></keyword><keyword><style  face="normal" font="default" size="100%">GENERAL PRACTITIONER</style></keyword><keyword><style  face="normal" font="default" size="100%">GP</style></keyword><keyword><style  face="normal" font="default" size="100%">Group</style></keyword><keyword><style  face="normal" font="default" size="100%">health</style></keyword><keyword><style  face="normal" font="default" size="100%">Health inequalities</style></keyword><keyword><style  face="normal" font="default" size="100%">health interview survey</style></keyword><keyword><style  face="normal" font="default" size="100%">health interview surveys</style></keyword><keyword><style  face="normal" font="default" size="100%">Health status</style></keyword><keyword><style  face="normal" font="default" size="100%">Health-status</style></keyword><keyword><style  face="normal" font="default" size="100%">healthcare</style></keyword><keyword><style  face="normal" font="default" size="100%">HIS</style></keyword><keyword><style  face="normal" font="default" size="100%">household</style></keyword><keyword><style  face="normal" font="default" size="100%">Income</style></keyword><keyword><style  face="normal" font="default" size="100%">inequities</style></keyword><keyword><style  face="normal" font="default" size="100%">inequity</style></keyword><keyword><style  face="normal" font="default" size="100%">Interview</style></keyword><keyword><style  face="normal" font="default" size="100%">Interview survey</style></keyword><keyword><style  face="normal" font="default" size="100%">Less</style></keyword><keyword><style  face="normal" font="default" size="100%">Logistic</style></keyword><keyword><style  face="normal" font="default" size="100%">logistic regression</style></keyword><keyword><style  face="normal" font="default" size="100%">Logistic-regression</style></keyword><keyword><style  face="normal" font="default" size="100%">medical consumption</style></keyword><keyword><style  face="normal" font="default" size="100%">method</style></keyword><keyword><style  face="normal" font="default" size="100%">methods</style></keyword><keyword><style  face="normal" font="default" size="100%">MODEL</style></keyword><keyword><style  face="normal" font="default" size="100%">models</style></keyword><keyword><style  face="normal" font="default" size="100%">objectives</style></keyword><keyword><style  face="normal" font="default" size="100%">older</style></keyword><keyword><style  face="normal" font="default" size="100%">Older persons</style></keyword><keyword><style  face="normal" font="default" size="100%">ON</style></keyword><keyword><style  face="normal" font="default" size="100%">PARTICIPANTS</style></keyword><keyword><style  face="normal" font="default" size="100%">person</style></keyword><keyword><style  face="normal" font="default" size="100%">POPULATION</style></keyword><keyword><style  face="normal" font="default" size="100%">practitioner</style></keyword><keyword><style  face="normal" font="default" size="100%">probability</style></keyword><keyword><style  face="normal" font="default" size="100%">regression</style></keyword><keyword><style  face="normal" font="default" size="100%">result</style></keyword><keyword><style  face="normal" font="default" size="100%">results</style></keyword><keyword><style  face="normal" font="default" size="100%">Role</style></keyword><keyword><style  face="normal" font="default" size="100%">SOCIODEMOGRAPHIC</style></keyword><keyword><style  face="normal" font="default" size="100%">Socioeconomic</style></keyword><keyword><style  face="normal" font="default" size="100%">Socioeconomic differences</style></keyword><keyword><style  face="normal" font="default" size="100%">Socioeconomic status</style></keyword><keyword><style  face="normal" font="default" size="100%">SPECIALIST</style></keyword><keyword><style  face="normal" font="default" size="100%">status</style></keyword><keyword><style  face="normal" font="default" size="100%">study</style></keyword><keyword><style  face="normal" font="default" size="100%">survey</style></keyword><keyword><style  face="normal" font="default" size="100%">surveys</style></keyword><keyword><style  face="normal" font="default" size="100%">Two-part model</style></keyword><keyword><style  face="normal" font="default" size="100%">use</style></keyword><keyword><style  face="normal" font="default" size="100%">utilisation</style></keyword><keyword><style  face="normal" font="default" size="100%">variables</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2013</style></year><pub-dates><date><style  face="normal" font="default" size="100%">29/7/2013</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">602</style></number><volume><style face="normal" font="default" size="100%">58</style></volume><pages><style face="normal" font="default" size="100%">593 - 602</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Objectives To explore the existence of socioeconomic differences in probability and intensity of general practitioner(GP) and specialist contacts among the Belgian elderly population, compared with the younger population.Methods A nationally representative cross-sectional study based on 4,825 older (C65) and 14,738 younger participants(\65) in the Belgian Health Interview Surveys 2001 and 2004. Socioeconomic differences in contacts with a GP andspecialist were examined using two-part hurdle models; use versus nonuse by logistic regression, and intensity of use byzero-truncated negative binomial regression. Results The intermediate income group was more likely to contact a GP and tenants reported more GP contacts.Lower educated older persons were less likely to contact a specialist and household income seemed to play a role inthe intensity of specialist contacts.Conclusions The probability and intensity of general practitioner and specialist contacts among the Belgianolder population are mainly determined by sociodemographic and health status variables, but a certain degree ofinequity remains. The socioeconomic gradient differs in probability and intensity of contacts, indicating theadvantage of using a two-part model in investigating socioeconomic differences in healthcare utilisation.</style></abstract><issue><style face="normal" font="default" size="100%">4</style></issue><custom1><style face="normal" font="default" size="100%">35763</style></custom1><section><style face="normal" font="default" size="100%">593</style></section></record></records></xml>