How Do Countries’ Health Information Systems Perform in Assessing Asylum Seekers’ Health Situation? Developing a Health Information Assessment Tool on Asylum Seekers (HIATUS) and Piloting It in Two European Countries
Abstract
:1. Introduction
2. Materials and Methods
2.1. Development Process of the Assessment Tool
2.2. Dimensions and Sub-Scales of the Tool
- (D1)
- Data sources and data availability: measures the availability of data related to asylum seekers across HIS data sources as well as the extent of details available across five subscales.
- (D2)
- Resources and capacity: measures HIS resources and (monitoring) capacity focusing on the areas of coordination, planning and policies related to health monitoring in asylum seekers.
- (D3)
- Published indicators and reports: measures the general coverage and timeliness of published information on selected key indicators across six sub-scales (self-reported health indicators, non-communicable diseases, infectious diseases, mental health, socio-economic position, and health-related behaviours) in the last 10 years.
2.3. Pilot Test and Cross-Country Comparison
- (1)
- Absolute gaps in capacity within countries: the difference between achieved HIATUS score of a given country and the maximum achievable HIATUS score.
- (2)
- Relative gaps in capacity within countries: calculated as the absolute gap relative to the maximum achievable HIATUS score
- (3)
- Absolute gaps between countries: the difference in HIATUS scores between two countries in absolute terms.
3. Results
4. Discussion
5. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
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D1—Data Sources & Availability |
D1.1—Population based records |
Are asylum seekers represented and identifiable in: |
the population registry? |
population census or demographic data obtained by census-like approaches? |
the death registry? Can a distinction be made by cause of death? |
nationally representative health interview surveys? |
D1.2—Health records |
Are asylum seekers represented and identifiable in: |
claims data or other service utilisation data based on (routine or specific) registries in the health system? |
any disease registers for specific non-communicable diseases? |
notification-systems for infectious diseases? Is it possible to obtain information on denominator data to calculate incidence or prevalence rates? |
D1.3—Sub-group specific records |
Are there records that allow assessing the health status of or access to health care for: |
victims of torture or violence? |
unaccompanied minors? |
pregnant women? |
accompanied children/minors? |
D1.4—Resource records |
Are data available on: |
the volume of health facilities and key health services specifically provided to asylum seekers (e.g., number, size, distribution)? |
human resources for health specifically concerned with asylum seekers (e.g., density, composition and distribution)? |
financing and expenditure for health services specifically provided to asylum seekers? |
D1.5—Microdata |
Are microdata (i.e., individual level data) practically available for researchers or policy makers (e.g., upon request) from: |
population registry? |
death registry? |
population surveys, e.g., health interview surveys? |
claims data or other routine data of the health care system? |
disease registers? |
infectious disease notification systems? |
records on resources and health services inputs? |
D2—HIS Resources & Capacity |
D2.1 Coordination, Planning and Policies |
Is there a: |
written plan in active use to comprehensively monitor the health status or health care access of asylum seekers? |
functioning national organisation responsible for coordination, planning and implementation of HIS for asylum seekers? |
D3—Published Indicators and Reports |
D3.1—Self-reported health |
Are there any published indicators, statistics or reports of studies covering self-reported health indicators in the last 10 years such as: |
self-rated general health (from poor to very good)? |
self-reported access to health care services? |
self-reported impairments of disabilities? |
self-reported longstanding chronic illnesses? |
D3.2—Non-communicable diseases |
Are there any published indicators, statistics or reports of studies covering non-communicable diseases in the last 10 years such as: |
cardiovascular diseases (e.g., stroke, ischemic diseases, myocardial infarction, angina pectoris or heart failure)? |
diabetes? |
obesity/overweight or under-nutrition? |
cancer types? |
musculoskeletal diseases? |
accidents and injuries (excluding suicidal behaviour)? |
D3.3—Infectious diseases |
Are there any published indicators, statistics or reports of studies covering infectious diseases in the last 10 years such as: |
tuberculosis? |
HIV/AIDS? |
hepatitis B or C? |
vaccine preventable diseases? |
D3.4—Mental health |
Are there any published indicators, statistics or reports of studies covering mental health conditions in the last 10 years such as: |
depression (including depressive symptoms)? |
anxiety disorders? |
post-traumatic stress disorder (PTSD)? |
suicidal behaviour including death from suicide? |
D3.5—Socio-economic status |
Are there any published statistics or reports covering any indicators of socio-economic status in the last 10 years such as: |
level of educational achievement of adult asylum seekers? |
employment and type of occupation among asylum seekers? |
income, welfare transfers or poverty among asylum seekers? |
D3.6—Health behaviour |
Are there any published indicators, statistics or reports covering health-related behaviours in the last 10 years such as: |
alcohol intake (amount, frequency)? |
smoking (current status, amount)? |
physical activity (type of activity, amount)? |
unsafe sex? |
Measure | Country | |||||
---|---|---|---|---|---|---|
The Netherlands | Germany | |||||
Inter-item correlations by dimension | rho | p-value | N | rho | p-value | N |
D1—Data sources & availability | 0.257 | 0.237 | 23 | 0.510 | 0.013 | 23 |
D2—HIS resources & capacity * | - | - | 2 | - | - | 2 |
D3—Published indicators & reports | 0.066 | 0.754 | 25 | 0.256 | 0.217 | 25 |
All HIATUS Items | 0.144 | 0.317 | 50 | 0.309 | 0.029 | 50 |
Intra-class correlation and inter-rater reliability, all HIATUS Items | The Netherlands | Germany | ||||
ICC (SE) | 0.026 (0.09) | 0.263 (0.27) | ||||
Estimated reliability of mean scores | 0.290 | 0.829 | ||||
R-squared | 0.06 | 0.20 | ||||
N | 50 | 50 |
The Netherlands (NL) | Germany (DE) | Between-Country Gap | ||||||
---|---|---|---|---|---|---|---|---|
within Country Gap | within Country Gap | |||||||
Dimensions | Maximum Achievable Score | Achieved Score | Abs. | % | Achieved Score | Abs. | % | Abs. (NL minus DE) |
D1—Data sources & availability | 39 | 28 | 11 | 28 | 3 | 36 | 92 | 25 |
D1.1—Population based records | 10 | 6 | 4 | 40 | 1 | 9 | 90 | 5 |
D1.2—Health records | 8 | 7 | 1 | 13 | 1 | 7 | 88 | 6 |
D1.3—Sub-group specific records | 8 | 3 | 5 | 63 | 0 | 8 | 100 | 3 |
D1.4—Resource records | 6 | 5 | 1 | 17 | 1 | 5 | 83 | 4 |
D1.5—Microdata | 7 * | 3.5 * | 3.5 | 50 | 0 * | 7 | 100 | 3.5 |
D2—HIS resources & capacity | 8 ** | 2 ** | 6 | 75 | 2 ** | 6 | 75 | 0 |
D2.1 Coordination, Planning and Policies | 8 ** | 2 ** | 33 | 66 | 2 ** | 40 | 80 | 0 |
D3—Published indicators and reports | 50 | 17 | 6 | 75 | 10 | 7 | 88 | 7 |
D3.1—Self-reported health | 8 | 2 | 9 | 75 | 1 | 12 | 100 | 1 |
D3.2—Non-communicable diseases | 12 | 3 | 5 | 63 | 0 | 5 | 63 | 3 |
D3.3—Infectious diseases | 8 | 3 | 3 | 38 | 3 | 4 | 50 | 0 |
D3.4—Mental health | 8 | 5 | 5 | 83 | 4 | 4 | 67 | 1 |
D3.5—Socio-economic status | 6 | 1 | 5 | 63 | 2 | 8 | 100 | −1 |
D3.6—Health behaviour | 8 | 3 | 50 | 52 | 0 | 82 | 85 | 3 |
Total HIATUS Score | 97 | 47 | 11 | 28 | 15 | 36 | 92 | 32 |
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Bozorgmehr, K.; Goosen, S.; Mohsenpour, A.; Kuehne, A.; Razum, O.; Kunst, A.E. How Do Countries’ Health Information Systems Perform in Assessing Asylum Seekers’ Health Situation? Developing a Health Information Assessment Tool on Asylum Seekers (HIATUS) and Piloting It in Two European Countries. Int. J. Environ. Res. Public Health 2017, 14, 894. https://doi.org/10.3390/ijerph14080894
Bozorgmehr K, Goosen S, Mohsenpour A, Kuehne A, Razum O, Kunst AE. How Do Countries’ Health Information Systems Perform in Assessing Asylum Seekers’ Health Situation? Developing a Health Information Assessment Tool on Asylum Seekers (HIATUS) and Piloting It in Two European Countries. International Journal of Environmental Research and Public Health. 2017; 14(8):894. https://doi.org/10.3390/ijerph14080894
Chicago/Turabian StyleBozorgmehr, Kayvan, Simone Goosen, Amir Mohsenpour, Anna Kuehne, Oliver Razum, and Anton E. Kunst. 2017. "How Do Countries’ Health Information Systems Perform in Assessing Asylum Seekers’ Health Situation? Developing a Health Information Assessment Tool on Asylum Seekers (HIATUS) and Piloting It in Two European Countries" International Journal of Environmental Research and Public Health 14, no. 8: 894. https://doi.org/10.3390/ijerph14080894
APA StyleBozorgmehr, K., Goosen, S., Mohsenpour, A., Kuehne, A., Razum, O., & Kunst, A. E. (2017). How Do Countries’ Health Information Systems Perform in Assessing Asylum Seekers’ Health Situation? Developing a Health Information Assessment Tool on Asylum Seekers (HIATUS) and Piloting It in Two European Countries. International Journal of Environmental Research and Public Health, 14(8), 894. https://doi.org/10.3390/ijerph14080894