Literature DB >> 24337894

Income-related inequalities and inequities in health care services utilisation in 18 selected OECD countries.

Marion Devaux1.   

Abstract

A key policy objective in OECD countries is to achieve adequate access to health care for all people on the basis of need. Previous studies have shown that there are inequities in health care services utilisation (HCSU) in the OECD area. In recent years, measures have been taken to enhance health care access. This paper re-examines income-related inequities in doctor visits among 18 selected OECD countries, updating previous results for 12 countries with 2006-2009 data, and including six new countries. Inequalities in preventive care services are also considered for the first time. The indirect standardisation procedure is used to estimate the need-adjusted HCSU and concentration indexes are derived to gauge inequalities and inequities. Overall, inequities in HCSU remain present in OECD countries. In most countries, for the same health care needs, people with higher incomes are more likely to consult a doctor than those with lower incomes. Pro-rich inequalities in dental visits and cancer screening uptake are also found in nearly all countries, although the magnitude of these varies among countries. These findings suggest that further monitoring of inequalities is essential in order to assess whether country policy objectives are achieved on a regular basis.

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Year:  2013        PMID: 24337894     DOI: 10.1007/s10198-013-0546-4

Source DB:  PubMed          Journal:  Eur J Health Econ        ISSN: 1618-7598


  19 in total

1.  Explaining income-related inequalities in doctor utilisation in Europe.

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Journal:  Health Econ       Date:  2004-07       Impact factor: 3.046

2.  Inequity in a market-based health system: Evidence from Canada's dental sector.

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3.  The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality.

Authors:  Adam Wagstaff
Journal:  Health Econ       Date:  2005-04       Impact factor: 3.046

4.  Measurement of horizontal inequity in health care utilisation using European panel data.

Authors:  Teresa Bago d'Uva; Andrew M Jones; Eddy van Doorslaer
Journal:  J Health Econ       Date:  2008-10-17       Impact factor: 3.883

5.  Decomposing income-related inequality in cervical screening in 67 countries.

Authors:  Brittany McKinnon; Sam Harper; Spencer Moore
Journal:  Int J Public Health       Date:  2010-12-14       Impact factor: 3.380

Review 6.  Self-rated health and mortality: a review of twenty-seven community studies.

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Journal:  J Health Soc Behav       Date:  1997-03

7.  Explaining variations in breast cancer screening across European countries.

Authors:  Ansgar Wübker
Journal:  Eur J Health Econ       Date:  2013-06-07

8.  Predicting mortality and healthcare utilization with a single question.

Authors:  Karen B DeSalvo; Vincent S Fan; Mary B McDonell; Stephan D Fihn
Journal:  Health Serv Res       Date:  2005-08       Impact factor: 3.402

9.  Inequalities in participation in an organized national colorectal cancer screening programme: results from the first 2.6 million invitations in England.

Authors:  Christian von Wagner; Gianluca Baio; Rosalind Raine; Julia Snowball; Stephen Morris; Wendy Atkin; Austin Obichere; Graham Handley; Richard F Logan; Sandra Rainbow; Stephen Smith; Stephen Halloran; Jane Wardle
Journal:  Int J Epidemiol       Date:  2011-02-17       Impact factor: 7.196

10.  Inequity in the use of physician services in Norway before and after introducing patient lists in primary care.

Authors:  Astrid L Grasdal; Karin Monstad
Journal:  Int J Equity Health       Date:  2011-06-15
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  50 in total

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Journal:  Eur J Health Econ       Date:  2019-12-06

2.  The colorectal cancer mortality-to-incidence ratio as an indicator of global cancer screening and care.

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Journal:  Cancer       Date:  2015-01-08       Impact factor: 6.860

3.  Does the socioeconomic status predict health service utilization in persons with enhanced health care needs? Results from a population-based survey in persons with spinal cord lesions from Switzerland.

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4.  The changes in socioeconomic inequalities and inequities in health services utilization among patients with hypertension in Pearl River Delta of China, 2015 and 2019.

Authors:  Yan Liu; Nan Liu; Mengjiao Cheng; Xin Peng; Junxuan Huang; Jinxiang Ma; Peixi Wang
Journal:  BMC Public Health       Date:  2021-05-12       Impact factor: 3.295

5.  Emergency Department Non-Urgent Visits and Hospital Readmissions Are Associated with Different Socio-Economic Variables in Italy.

Authors:  Pamela Barbadoro; Elena Di Tondo; Vincenzo Giannicola Menditto; Lucia Pennacchietti; Februa Regnicoli; Francesco Di Stanislao; Marcello Mario D'Errico; Emilia Prospero
Journal:  PLoS One       Date:  2015-06-15       Impact factor: 3.240

6.  Socioeconomic Status and Use of Outpatient Medical Care: The Case of Germany.

Authors:  Jens Hoebel; Petra Rattay; Franziska Prütz; Alexander Rommel; Thomas Lampert
Journal:  PLoS One       Date:  2016-05-27       Impact factor: 3.240

7.  Assessment of trends in socioeconomic inequalities in cancer screening services in Korea, 1998-2012.

Authors:  Sujin Kim; Jongnam Hwang
Journal:  Int J Equity Health       Date:  2016-02-24

8.  Changes in health care inequity in Brazil between 2008 and 2013.

Authors:  Pricila Mullachery; Diana Silver; James Macinko
Journal:  Int J Equity Health       Date:  2016-11-17

9.  Self-rated health and hospital services use in the Spanish National Health System: a longitudinal study.

Authors:  Nayara Tamayo-Fonseca; Andreu Nolasco; Jose A Quesada; Pamela Pereyra-Zamora; Inmaculada Melchor; Joaquin Moncho; Julia Calabuig; Carmen Barona
Journal:  BMC Health Serv Res       Date:  2015-11-04       Impact factor: 2.655

10.  Relationship between literacy skills and self-reported health in the Nordic countries.

Authors:  Kjersti Lundetræ; Egil Gabrielsen
Journal:  Scand J Public Health       Date:  2016-09-27       Impact factor: 3.021

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