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1.
J Travel Med ; 29(7)2022 11 04.
Article in English | MEDLINE | ID: mdl-35238944

ABSTRACT

BACKGROUND: The electronic Personal Health Record (ePHR) is a health information system that registers health data on newly arriving migrants and was implemented in eight European countries (Bulgaria, Croatia, Cyprus, Greece, Italy, Romania, Serbia and Slovenia). This is a cross-sectional study aimed to describe the health problems and health status of all migrants attended at health clinics as part of the health assessment programme established in the reception centres (2016-2019). METHODS: Data were collected on demographics, clinical and laboratory findings and diagnostics performed, including medical records. We classified all diseases using pre-specified algorithms according to information on pre-specified variables from the ePHR questionnaire, ICD-10 codes, positive laboratory findings or review of medical records. Crude proportions were calculated and odds ratios (OR) estimated using logistic regression modelling. RESULTS: The ePHR dataset contained a total of 19 564 clinical episodes in 14 436 individuals, recorded between January 2016 and October 2019. Most individuals (75%) were refugees or asylum seekers (22%) from 92 different nationalities. There were 2531/19 564 (12.9%) infectious diseases episodes reported during the study period, being 1283/2531 (50.7%) of them pharyngo-tonsillitis, 529 (20.9%) scabies, 158 (6.2%) viral hepatitis and 156(6.1%) lower respiratory infections. There were 2462 (17.1%) individuals with non-communicable diseases reported; including 821 (5.7%) cardiovascular diseases, 1183 (8.2%) neurological condition, 644 (4.5%) Diabetes mellitus and 212 (1.5%) kidney disease cases. Having Diabetes Mellitus (adjusted OR, aOR 3.3, [95% confidence interval, CI 2.7-4.1], P < 0.001), and neurological disorders (aOR 1.8, [95% CI 1.4-2.2], P < 0.001) were associated with cardiovascular disorders in the multivariable logistic regression model.Mental health problems were reported in 641/14 436 (4.4%) individuals and were associated with increasing age. Furthermore, 610 episodes of acute injuries were reported among 585/14 436 (4.1%) people, 517 (88.4%) of them in men (P < 0.001). CONCLUSIONS: The ePHR is a valuable tool to efficiently collect health-related data to better address migrant health issues. We described a mostly healthy population with many acute infectious disease episodes particularly in children, but also with significant number of chronic conditions and less frequent injuries or mental health problems.


Subject(s)
Health Records, Personal , Refugees , Transients and Migrants , Male , Child , Humans , Cross-Sectional Studies , Europe/epidemiology , Electronics
2.
BMC Med ; 16(1): 143, 2018 08 28.
Article in English | MEDLINE | ID: mdl-30149810

ABSTRACT

BACKGROUND: The UK, like a number of other countries, has a refugee resettlement programme. External factors, such as higher prevalence of infectious diseases in the country of origin and circumstances of travel, are likely to increase the infectious disease risk of refugees, but published data is scarce. The International Organization for Migration carries out and collates data on standardised pre-entry health assessments (HA), including testing for infectious diseases, on all UK refugee applicants as part of the resettlement programme. From this data, we report the yield of selected infectious diseases (tuberculosis (TB), HIV, syphilis, hepatitis B and hepatitis C) and key risk factors with the aim of informing public health policy. METHODS: We examined a large cohort of refugees (n = 18,418) who underwent a comprehensive pre-entry HA between March 2013 and August 2017. We calculated yields of infectious diseases stratified by nationality and compared these with published (mostly WHO) estimates. We assessed factors associated with case positivity in univariable and multivariable logistic regression analysis. RESULTS: The number of refugees included in the analysis varied by disease (range 8506-9759). Overall yields were notably high for hepatitis B (188 cases; 2.04%, 95% CI 1.77-2.35%), while yields were below 1% for active TB (9 cases; 92 per 100,000, 48-177), HIV (31 cases; 0.4%, 0.3-0.5%), syphilis (23 cases; 0.24%, 0.15-0.36%) and hepatitis C (38 cases; 0.41%, 0.30-0.57%), and varied widely by nationality. In multivariable analysis, sub-Saharan African nationality was a risk factor for several infections (HIV: OR 51.72, 20.67-129.39; syphilis: OR 4.24, 1.21-24.82; hepatitis B: OR 4.37, 2.91-6.41). Hepatitis B (OR 2.23, 1.05-4.76) and hepatitis C (OR 5.19, 1.70-15.88) were associated with history of blood transfusion. Syphilis (OR 3.27, 1.07-9.95) was associated with history of torture, whereas HIV (OR 1521.54, 342.76-6754.23) and hepatitis B (OR 7.65, 2.33-25.18) were associated with sexually transmitted infection. Syphilis was associated with HIV (OR 10.27, 1.30-81.40). CONCLUSIONS: Testing refugees in an overseas setting through a systematic HA identified patients with a range of infectious diseases. Our results reflect similar patterns found in other programmes and indicate that the yields for infectious diseases vary by region and nationality. This information may help in designing a more targeted approach to testing, which has already started in the UK programme. Further work is needed to refine how best to identify infections in refugees, taking these factors into account.


Subject(s)
Communicable Diseases/epidemiology , Refugees/psychology , Adult , Cohort Studies , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Prevalence , Risk Factors
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