| Literature DB >> 35005673 |
Peter Barlow1, Gretta Mohan1,2, Anne Nolan1,2,3.
Abstract
OBJECTIVE: While there is a broad consensus that barriers to access in the utilisation of healthcare exist for immigrants in the US, European evidence exploring this issue paints a mixed picture, with studies from a variety of European jurisdictions presenting different conclusions. In this context, Ireland, a European country with substantial private involvement in healthcare delivery, and, a largely young immigrant population, provides an opportunity to investigate the healthcare utilisation of immigrants compared to natives in a European country with mixed private-public healthcare provision.Entities:
Keywords: Consultant utilisation; General Practitioner utilisation; Health economics; Healthcare; Migrant
Year: 2021 PMID: 35005673 PMCID: PMC8715328 DOI: 10.1016/j.jmh.2021.100076
Source DB: PubMed Journal: J Migr Health ISSN: 2666-6235
Summary statistics – Healthy Ireland sample for analysis.
| Variable | Category | Sample used for analysis(%) |
|---|---|---|
| Attended GP in previous 12 months | 75.2 | |
| Did not attend GP in previous 12 months | 24.8 | |
| Attended consultant in previous 12 months | 28.8 | |
| Did not attend consultant in previous 12 months | 71.2 | |
| Irish-bornUK-born immigrantNon-UK born immigrant (born in a country outside Ireland and the UK - Other) | 83.56.110.4 | |
| Male | 46.4 | |
| Female | 53.6 | |
| 15–2425–4445–6465 or greater | 7.533.832.925.8 | |
| MarriedUnmarried | 56.243.8 | |
| Primary | 10.3 | |
| Secondary | 46.5 | |
| Tertiary | 43.2 | |
| Yes | 33.8 | |
| No | 66.2 | |
| UrbanRural | 61.039.0 | |
| DublinMunsterNon-Dublin LeinsterConnaught/Ulster | 22.226.528.922.4 | |
| 0.No GP in 1.6 km1.Least GPs in 1.6 km2.3.4.5.Most GPs in 1.6km | 36.615.112.111.813.211.3 | |
| Medical card holder | 35.5 | |
| GP visit card holder | 6.4 | |
| No medical card or GP visit card | 58.1 | |
| Has private health insuranceNo private health insurance | 51.148.9 | |
| Good or very goodFair, poor or very poor | 84.016.0 | |
| YesNo | 16.084.0 | |
| YesNo | 29.770.3 | |
| YesNo | 4.895.2 | |
| YesNo | 12.387.7 | |
| YesNo | 15.584.5 | |
| Sample observations | 6326 |
The summary statistics for the original Healthy Ireland sample (i.e. prior to dropping cases that have missing data on variables of interest) is provided in Supplementary File Table A1.
Fig. 1Utilisation of GP services by country of origin.
Logistic regression results for GP attendance in the previous 12 months, presented as odds ratios.
| GP visit in 12 months | Basic model | Full model |
|---|---|---|
| Model | (1) | (2) |
| UK immigrant | 0.948(0.126)[0.730–1.230] | 0.915(0.124)[0.701–1.193] |
| Non-UK immigrant (Other) | 0.585***(0.053)[0.490–0.698] | 0.615***(0.059)[0.509–0.744] |
| Male | 0.554***(0.034) | 0.562***(0.036) |
| Age 25–44 | 1.023(0.110) | 0.943(0.114) |
| Age 45–64 | 1.564***(0.172) | 1.071(0.132) |
| Age 65+ | 5.808***(0.772) | 1.943***(0.296) |
| Married | 1.096(0.078) | |
| Secondary educated | 0.921(0.148) | |
| Tertiary educated | 0.944(0.160) | |
| Manual labourer | 0.915(0.088) | |
| Urban | 0.958(0.097) | |
| GP supply quintile 1 (Low GP provision) | 1.041(0.107) | |
| GP supply quintile 2 | 0.984(0.128) | |
| GP supply quintile 3 | 0.996(0.135) | |
| GP supply quintile 4 | 1.164(0.164) | |
| GP supply quintile 5 (Most GPs) | 1.134(0.170) | |
| Region: Munster | 1.045(0.112) | |
| Region: Non-Dublin Leinster | 1.326**(0.140) | |
| Region: Connaught-Ulster | 1.071(0.125) | |
| Medical card holder | 2.188***(0.200) | |
| GP visit card holder | 1.571**(0.235) | |
| Private health insurance | 1.387***(0.107) | |
| Good/very good self-rated health | 0.551***(0.078) | |
| Daily smoker | 0.773**(0.066) | |
| Long term illness in previous 12 months | 2.719***(0.284) | |
| Diabetes | 1.639(0.475) | |
| Arthritis | 1.274(0.202) | |
| High blood pressure | 3.124***(0.490) | |
| Constant | 2.686***(0.277) | 2.951***(0.766) |
| N | 6326 | 6326 |
| Log likelihood | −3259.89 | −3004.63 |
Statistical significance indicated by * p < 0.05 ** p < 0.01 *** p < 0.001. Robust standard errors in parentheses. 95% Confidence intervals in square brackets.
Robustness checks available in Tables A2, A3, A4 and A5 of the Supplementary File.
Fig. 2Utilisation of consultant services by country of origin.
Logistic regression results for consultant attendance in previous 12 months, odds ratios.
| Consultant in 12 months | Basic model | Full model |
|---|---|---|
| Model | (1) | (2) |
| UK immigrant | 1.387**(0.156)[1.112–1.730] | 1.438**(0.171)[1.138–1.816] |
| Non-UK immigrant (Other) | 0.590***(0.068)[0.471–0.740] | 0.598***(0.074)[0.468–0.763] |
| Male | 0.764***(0.0438) | 0.775***(0.048) |
| Age 25–44 | 1.275(0.167) | 0.988(0.142) |
| Age 45–64 | 1.738***(0.225) | 1.001(0.144) |
| Age 65+ | 3.227***(0.419) | 1.157(0.178) |
| Married | 1.284***(0.088) | |
| Secondary educated | 0.950(0.107) | |
| Tertiary educated | 1.123(0.142) | |
| Manual labourer | 0.828*(0.079) | |
| Urban | 1.036(0.104) | |
| GP supply quintile 1 (Low GP provision) | 0.938(0.094) | |
| GP supply quintile 2 | 1.069(0.137) | |
| GP supply quintile 3 | 1.006(0.134) | |
| GP supply quintile 4 | 1.039(0.140) | |
| GP supply quintile 5 (Most GPs) | 1.199(0.171) | |
| Region: Munster | 0.631***(0.065) | |
| Region: Non-Dublin Leinster | 0.800*(0.079) | |
| Region: Connaught-Ulster | 0.722**(0.080) | |
| Medical card holder | 1.411***(0.123) | |
| GP visit card holder | 1.704***(0.210) | |
| Private health insurance | 1.541***(0.117) | |
| Good/very good self-rated health | 0.475***(0.042) | |
| Daily smoker | 0.927(0.084) | |
| Long term illness in previous 12 months | 3.011***(0.224) | |
| Diabetes | 1.216(0.167) | |
| Arthritis | 1.247*(0.121) | |
| High blood pressure | 1.174(0.102) | |
| Constant | 0.256***(0.031) | 0.370***(0.070) |
| N | 6326 | 6326 |
| Log likelihood | −3651.65 | −3283.22 |
Statistical significance indicated by * p < 0.05 ** p < 0.01 *** p < 0.001. Robust standard errors in parentheses. 95% Confidence intervals in square brackets.
Robustness checks available in Tables A6, A7, A8 and A9 of the Supplementary File.