| Literature DB >> 29693623 |
Abstract
Objectives: Asylum seekers in Germany represent a highly vulnerable group from a health perspective. Furthermore, their access to healthcare is restricted. While the introduction of the Electronic Health Insurance Card (EHIC) for asylum seekers instead of healthcare-vouchers is discussed controversially using politico-economic reasons, there is hardly any empirical evidence regarding its actual impact on the use of medical services. The aim of the study is to examine this impact on the use of medical services by asylum seekers as measured by their consultation rate of ambulant physicians (CR). Study Design: For this purpose, a standardized survey was conducted with 260 asylum seekers in different municipalities, some of which have introduced the EHIC for asylum seekers, while others have not.Entities:
Keywords: Electronic Health Insurance Card; Germany; asylum seeker; public health; refugee
Mesh:
Year: 2018 PMID: 29693623 PMCID: PMC5981895 DOI: 10.3390/ijerph15050856
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Description of the main characteristics of the analyzed sample (n = 353; rounded percentages).
| Characteristic | Percentage |
|---|---|
| Age in years (mean ± SD) | 31.12 ± 9.49 |
| Sex | |
| Male | 80% |
| Country of origin | |
| Syria | 30% |
| Iraq | 14% |
| Afghanistan | 10% |
| Iran | 7% |
| Albania | 1% |
| Eritrea | 5% |
| Pakistan | 2% |
| Serbia | 1% |
| Other | 30% |
| Family status | |
| Single | 56% |
| Married | 39% |
| Divorced | 3% |
| Widowed | 2% |
| Education | |
| College degree | 17% |
| General qualification for university entrance | 25% |
| Vocational training | 5% |
| Other | 16% |
| No educational degree | 37% |
| Children | |
| None | 60% |
| One child | 9% |
| Two children | 12% |
| More than two children | 19% |
| Municipality | |
| Bochum | 72% |
| Datteln | 23% |
| Herne | 5% |
| Point of the Survey | |
| 2016 | 39% |
| 2017 | 61% |
| Months in Germany (mean ± SD) | 14.32 ± 10.54 |
| German language skills | |
| 1—very bad | 18% |
| 2—bad | 23% |
| 3—average | 33% |
| 4—good | 21% |
| 5—very good | 4% |
| Currently on medication | |
| Yes | 23% |
| Missing information | 4% |
| Chronic Disease | |
| Yes | 60% |
| Missing information | 1% |
| Diseases | |
| Heart disease | 5% |
| Psychiatric disorder | 17% |
| Joint disease | 7% |
| Diabetes | 4% |
| Back pain | 12% |
| Cancer | 1% |
| Thyroid disease | 3% |
| Other | 20% |
| Electronic Health Insurance Card (EHIC) | |
| Yes | 57% |
| Consultation rate of ambulant physicians | 0.32 ± 0.49 |
| Contacts to further physicians | |
| Hospital | 35% |
| Volunteers (e.g., in camp) | 9% |
Figure 1Consultation rate of ambulant physicians per month among a sample of asylum seekers in Germany stratified for ownership of the Electronic Health Insurance Card (EHIC) (with EHIC: n = 137, without EHIC: n = 216).
Factors associated with the consultation rate of ambulant physicians per month among a sample of asylum seekers in Germany (with EHIC: n = 137, without EHIC: n = 216).
| Characteristic | Coefficient (Standard Error) | |
|---|---|---|
| Health system related variables | ||
| Electronic Health Insurance Card (yes vs. no) | 0.31 (0.06) | 0.00 |
| Medication (yes vs. no) | 0.14 (0.06) | 0.02 |
| Language skills | ||
| German (per increase on a scale from 1 to 5) | 0.02 (0.02) | 0.50 |
| Diseases | ||
| Heart disease (yes vs. no) | 0.25 (0.13) | 0.05 |
| Psychiatric disorders (yes vs. no) | 0.30 (0.07) | 0.00 |
| Joint disease (yes vs. no) | −0.03 (0.11) | 0.81 |
| Municipality | ||
| Datteln (yes vs. no, compared to Bochum) | 0.10 (0.07) | 0.18 |
| Herne (yes vs. no, compared to Bochum) | 0.45 (0.12) | 0.00 |
| Time variables | ||
| Point of the survey (2017, compared to 2016) | −0.16 (0.06) | 0.01 |
| Months in Germany (per additional month) | 0.00 (0.00) | 0.25 |