The prevalence of iron deficiency anemia among African asylum seeking children residing in Tel Aviv.

BACKGROUND: It has been the impression of pediatricians at the Terem Clinic for African asylum seekers in Tel Aviv that they encounter large numbers of anemic children. The objectives of this study were 1) to quantify the prevalence of anemia among African African asylum seeking children treated in the Terem Clinic for refugees in Tel Aviv; 2) to compare it to the rates among Jewish Israeli children; 3) and to correlate it with their nutritional iron intake. Overall, this effort aims at informing changes in policies and practices that will ensure healthy development of African asylum seeking children in Israel. METHODS: The prevalence of anemia was calculated for all toddlers and children under the age of twelve years visiting the refugee clinic and compared to the recently reported rates of anemia among urban Jewish Israeli children of similar ages; Nutritional iron intake was calculated in a subgroup by a food frequency questionnaire translated to Amharic and Tigrinya. RESULTS: Mean age of the children (SD) was 2.96 yr. (SD 2.77) and mean hemoglobin 10.88 g/dl (1.47). Out of 386 eligible children, 131(34%) were anemic, fourfold more prevalent than reported among 263 Jewish toddlers and young children of the same age group [(11%), OR 4.15(95% ci 2.67-6.43)]. In a subgroup (n = 26) investigated for amount of daily iron intake, 46.2% did not receive the recommended daily allowance for their age. Nine of them had received iron supplements. CONCLUSIONS: Low hemoglobin levels are four-fold more prevalent among the African asylum seeking children. The dietary data suggest iron deficiency as a major cause, although other etiologies need to be ruled out. Because of the adverse long term impact of early anemia on child development, new policies need to be developed to ensure that refugee children develop in a healthy manner. These should include routine mandatory supplements of iron for all refugee children, in parallel to developing an educational program for parents how to achieve iron-sufficient diets for their children. Further research is needed to guide public health action for these children.

For What Illnesses Do Asylum Seekers and Undocumented Migrant Workers in Israel Seek Healthcare? An Analysis of Medical Visits at a Large Urgent Care Clinic for the Uninsured in Tel Aviv.

In 2017, there were nearly 80,000 asylum seekers and undocumented migrant workers in Israel, most of whom did not have health insurance. We evaluated trends in medical visits of asylum seekers and undocumented migrant workers who presented to Terem Refugee Clinic (TRC), a large clinic in Tel Aviv available only to uninsured residents of Israel. Data were collected from electronic medical records at TRC from 2013⁻2017. Diagnoses were grouped into categories using ICD-10-equivalent diagnosis codes. We used a chi-squared test for trends to test the significance of trends 2013 to 2017. There were 99,569 medical visits from 2013 to 2017 at TRC. Visits were lowest in 2013 (11,112), and relatively stable from 2014⁻2017 (range: 19,712⁻23,172). Most visits were among adults aged 18⁻35 (41.2%) and children <2 years old (23.7%). Only 3% of visits were from patients aged >50. The percentage of infectious disease diagnoses decreased over the study period, from 9.4% of all diagnoses in adults in 2014 to 5.2% in 2017, and from 32.0% of all diagnoses in children in 2013 to 19.4% in 2017. The annual percentage of respiratory diagnoses in children and adults 18⁻35 years of age, musculoskeletal in all adults, and digestive in adults except women ≥35 years old increased. Over time, asylum seekers and undocumented migrant workers visited TRC with fewer infectious diseases diagnoses overall but more respiratory diseases, including acute respiratory infections and more musculoskeletal diseases.

Analysis of strategies to improve cost effectiveness of blood cultures.

BACKGROUND: Approximately 90% of all blood cultures grow no organisms (ie, are true negatives), and 5% are thought to represent contaminants (ie, are false positives). The cost effectiveness of blood cultures could therefore be improved by developing rules that safely decreased the number of cultures drawn from patients with a low likelihood of having bacteremia and/or by improving the process of obtaining cultures, thereby decreasing the number of contaminants. We analyzed the potential effects of these two approaches. METHODS: We annualized the hospital costs and lengths of stay for patients with true-negative and false-positive blood cultures from a retrospective analysis of 939 sets of cultures drawn in January 2002. RESULTS: Of the 939 blood culture sets, 816 (87%) were true negatives and generated annualized costs of approximately 750,000 dollars. Although only 56 (6%) of the blood culture sets were false positives, they resulted in annualized costs of 1.4-1.8 million dollars and added an estimated 1450-2200 extra hospital days/year. CONCLUSIONS: Despite there being nearly 15 times as many true-negative blood cultures as false positive ones, far greater improvements in resource utilization would result from reducing the number of contaminated blood cultures than by reducing the number of true negatives. The potential savings from this approach are of sufficient magnitude to justify investing considerable resources to attaining this goal.

A cooperative care model: cardiologists and hospitalists reduce length of stay in a chest pain observation unit.

Chest pain observation units are increasingly used to evaluate patients at low risk for cardiovascular events and are commonly staffed by cardiologists. The role of hospitalists in this setting has not been described. We assessed emergency department (ED) length of stay before and after adding hospitalists to the care team among 493 patients. Prior to intervention, median ED length of stay was 19.3 hours, which decreased to 11.0 hours with the addition of hospitalists (43% decrease, P <0.0001). No significant difference in 30-day cardiac event rate was observed (5% versus 6%, P = 0.68).