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      An exploration of the enablers and barriers in access to the Dutch healthcare system among Ghanaians in Amsterdam

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          Abstract

          Background

          Sub-Saharan African populations are growing in many European countries. Data on the health of these populations are rare. Additionally, many sub-Saharan African migrants are confronted with issues of low socio-economic status, acculturation and language difficulties, which may hamper their access to health care. Despite the identification of some of those barriers, little is known about the enabling factors. Knowledge about the enablers and barriers in access to healthcare experienced is important in addressing their health needs and promoting healthcare access. This study aimed to investigate the enabling factors as well as barriers in access to the Dutch healthcare system among the largest sub-Saharan African migrant group (Ghanaians) living in Amsterdam, the Netherlands.

          Methods

          Six focus groups were conducted from November 2009 to February 2010. A semi-structured interview guideline was used. Discussions were conducted in English or Twi (Ghanaian dialect), recorded and transcribed verbatim. Analysis was based on the Andersen model of healthcare utilisation using MAXQDA software.

          Results

          Knowledge and perceived quality of the health system, awareness of diseases, family and community support, community initiatives and availability of social support were the main enablers to the healthcare system. Difficulties with the Dutch language and mistrust in health care providers were major barriers in access to healthcare.

          Conclusions

          Access to healthcare is facilitated mainly by knowledge of and the perceived efficiency and quality of the Dutch healthcare system. However, poor Dutch language proficiency and mistrust in health care providers appear to be important barriers in accessing healthcare. The enablers and barriers identified by this study provide useful information for promoting healthcare access among this and similar Sub-Saharan African communities.

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          Most cited references19

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          Revisiting the Behavioral Model and Access to Medical Care: Does it Matter?

          The Behavioral Model of Health Services Use was initially developed over 25 years ago. In the interim it has been subject to considerable application, reprobation, and alteration. I review its development and assess its continued relevance.
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            Good practice in health care for migrants: views and experiences of care professionals in 16 European countries

            Background Health services across Europe provide health care for migrant patients every day. However, little systematic research has explored the views and experiences of health care professionals in different European countries. The aim of this study was to assess the difficulties professionals experience in their service when providing such care and what they consider constitutes good practice to overcome these problems or limit their negative impact on the quality of care. Methods Structured interviews with open questions and case vignettes were conducted with health care professionals working in areas with high proportion of migrant populations in 16 countries. In each country, professionals in nine primary care practices, three accident and emergency hospital departments, and three community mental health services (total sample = 240) were interviewed about their views and experiences in providing care for migrant patients, i.e. from first generation immigrant populations. Answers were analysed using thematic content analysis. Results Eight types of problems and seven components of good practice were identified representing all statements in the interviews. The eight problems were: language barriers, difficulties in arranging care for migrants without health care coverage, social deprivation and traumatic experiences, lack of familiarity with the health care system, cultural differences, different understandings of illness and treatment, negative attitudes among staff and patients, and lack of access to medical history. The components of good practice to overcome these problems or limit their impact were: organisational flexibility with sufficient time and resources, good interpreting services, working with families and social services, cultural awareness of staff, educational programmes and information material for migrants, positive and stable relationships with staff, and clear guidelines on the care entitlements of different migrant groups. Problems and good care components were similar across the three types of services. Conclusions Health care professionals in different services experience similar difficulties when providing care to migrants. They also have relatively consistent views on what constitutes good practice. The degree to which these components already are part of routine practice varies. Implementing good practice requires sufficient resources and organisational flexibility, positive attitudes, training for staff and the provision of information.
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              Monitoring health inequalities through general practice: the Second Dutch National Survey of General Practice.

              For the second time a plan to monitor public health and health inequalities in the Netherlands through general practice was put into action: the Second National Survey of General Practice (DNSGP-2, 2001). The first aim of this paper is to describe the general design of DNSGP-2. Secondly, to describe self assessed health inequalities in the Netherlands. Thirdly, to present differences in prevalence of chronic conditions by educational attainment using both self-assessed health and medical records of GPs. Finally, inequalities in 1987 (DNSGP-1) and 2001 will be compared. Data were collected from 96 (1987) and 104 (2001) general practices. The data include background information on patients collected via a census, approximately 12,000 health interview surveys per time point and more than one million recorded contacts of patients with their GPs in both years. The method of statistical analysis is logistic regression. The analyses shows that the lower educated have significantly higher odds of feeling unhealthy and having chronic conditions in 2001. Diabetes and myocardial infarction (GP data) showed the largest difference in prevalence between educational groups (OR 2.5 and 2.4, self-reported data). The way the data is collected (self-assessment versus GP registration) hardly affects the magnitude of the educational differences in the prevalence of chronic conditions. The pattern of health inequalities across chronic conditions in 1987 and 2001 hardly differs. Diabetes doubled in prevalence and health inequalities were not significant in 1987, but compared to the other conditions were largest in 2001 (OR 1.1 versus 2.5). Health inequalities were shown to be substantial in 2001 and persistent over time. Socio-economic differences were shown to be similar using self-assessed health data and GP data. Hence, a person's educational attainment did not appear to play a part in presenting health problems to the GP.
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                Author and article information

                Journal
                BMC Health Serv Res
                BMC Health Serv Res
                BMC Health Services Research
                BioMed Central
                1472-6963
                2012
                24 March 2012
                : 12
                : 75
                Affiliations
                [1 ]Department of Public Health, Academic Medical Centre, University of Amsterdam, Postbus 22660, 1100DD Amsterdam, The Netherlands
                [2 ]Municipal Health Service, Amsterdam, The Netherlands
                Article
                1472-6963-12-75
                10.1186/1472-6963-12-75
                3348030
                22443162
                1e9ec9d5-ecc2-4ed2-8892-6dbe0ba51d87
                Copyright ©2012 Boateng et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 25 October 2011
                : 24 March 2012
                Categories
                Research Article

                Health & Social care
                african,perceptions of healthcare,ethnicity,access to healthcare
                Health & Social care
                african, perceptions of healthcare, ethnicity, access to healthcare

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