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Experience of discrimination and engagement with mental health and other services by Travellers in Ireland: findings from the All Ireland Traveller Health Study (AITHS)

Published online by Cambridge University Press:  27 August 2020

B. Quirke*
Affiliation:
School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
M. Heinen
Affiliation:
School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
P. Fitzpatrick
Affiliation:
School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland Department of Preventive Medicine and Health Promotion, St. Vincent’s University Hospital, Dublin, Ireland
S. McKey
Affiliation:
Department of Psychiatry, Psychotherapy and Mental Health Research, St. Vincent’s University Hospital and University College Dublin, Dublin, Ireland
K. M. Malone
Affiliation:
Department of Psychiatry, Psychotherapy and Mental Health Research, St. Vincent’s University Hospital and University College Dublin, Dublin, Ireland
C. Kelleher
Affiliation:
School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland Department of Preventive Medicine and Health Promotion, St. Vincent’s University Hospital, Dublin, Ireland
*
*Address for correspondence: B. Quirke, RGN RM PGDip, Senior Researcher, School of Public Health, Physiotherapy and Sports Science, Woodview House, University College Dublin, Bellfield, Dublin 4, Ireland. (Email: brigid.quirke@ucd.ie)
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Abstract

Objectives:

Irish Travellers are an indigenous ethnic minority population in Ireland, with poor life expectancy. This study aims to identify factors associated with reported discrimination and how this affects their experiences of accessing and quality of health services, including mental health.

Methods:

The All Ireland Traveller Health Study was a cross-sectional census study in 2010. All Traveller families completed a survey questionnaire (n = 6540), and at random an adult selected from the family completed either a health status (health status study = 1547) or health services utilisation survey (HSU = 1576). Experience of discrimination (EOD) from the census was analysed in relation to HSU data on services used in the previous 12 months and reported experiences of access and quality of that health service. Census variables were analysed in relation to EOD and perceived discrimination (PD).

Results:

In the final models, EOD and PD were significantly associated with socio-demographic, socio-cultural and living conditions. The multivariate odds of reporting EOD ranged from OR 1.84 to 2.13 and were significant for those reporting worse opportunities in accessing health services, mental health (p = 0.001), hospitals (p < 0.001) and public health nurses (p < 0.001). The multivariate odds of reporting EOD ranged from OR 1.95 to 2.71 and remained significant for those who reported they had poorer experiences than others when using health services, quality of experience (OR 2.18, p =< 0.001), trust in providers (OR 1.95, p =< 0.001) and appropriate information (OR 2.71, p =< 0.001).

Conclusions:

Travellers experience high levels of discrimination which negatively affects their engagement with health services. Culturally competent services need to be developed.

Information

Type
Original Research
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of The College of Psychiatrists of Ireland
Figure 0

Table 1. Characteristics of the study samples from the Census, HSU and HSSs AITHS (2010)

Figure 1

Table 2. Comparative data on the EOD in the AITHS Census, HSU and perceived discrimination in the HSS

Figure 2

Table 3. Factors associated with experience of discrimination. Final multivariate-adjusted logistic regression, using backward stepwise likelihood ratio method (n = 4574)

Figure 3

Table 4. Factors associated with perceived discrimination. Final multivariate-adjusted logistic regression, using backward stepwise likelihood ratio method (N = 1386)

Figure 4

Table 5. Health service variables associated with EOD, multivariate-adjusted logistic regression