Publications by authors named "J E Darroch"

Article Synopsis
  • - The survey aimed to gather comprehensive demographic data on hereditary angioedema (HAE) and acquired C1 inhibitor deficiency in the UK to enhance service planning and patient care.
  • - A total of 1152 patients with HAE were identified, with a prevalence of 1:59,000 for HAE-1/2 and 1:734,000 for acquired C1 inhibitor deficiency, revealing significant patient demographics and treatment patterns.
  • - Findings showed that 45% of HAE patients were on long-term prophylaxis, primarily using danazol, and a significant number had acute treatment supplies available at home, highlighting the need for improved healthcare services for these conditions.
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Background: Common variable immunodeficiency (CVID) is a group of heterogeneous primary immunodeficiencies characterised by a dysregulated and impaired immune response. In addition to an increased susceptibility to infection, it is also associated with noninfectious autoimmune and lymphoproliferative complications. CVID is rarely associated with neurological complications.

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Reducing inequalities in health service coverage is central to achieving the larger goal of universal health coverage. Reproductive health services are part of evidence-based health interventions that comprise a minimum set of essential health interventions that all countries should be able to provide. This paper shows patterns in inequalities in three essential reproductive health services that span a continuum of care-contraceptive use, antenatal care during pregnancy and delivery at a health facility.

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Estimates of the potential impacts of contraceptive use on averting unintended pregnancies, total and unsafe abortions, maternal deaths, and newborn, infant, and child deaths provide evidence of the value of investments in family planning programs and thus are critically important for policy makers, donors, and advocates alike. Several research teams have independently developed mathematical models that estimate the number of adverse health outcomes averted due to contraceptive use. However, each modeling approach was designed for different purposes, and as such the methodological assumptions, data inputs, and mathematical algorithms initially used in each model differed; consequently, the models did not produce comparable estimates for the same outcome indicators.

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