MRSA is a costly public health issue that needs to be tackled if the growing burden of this disease in Canadian hospitals and in the community is to be limited.
BackgroundResponse to growth hormone (GH) therapy may vary between individual patients. Therefore the use of GH in children should be closely monitored to avoid over, under, or ineffective treatment regimens. The treatment response can be evaluated using growth prediction models. In an effort to improve the accuracy of these prediction models, Ranke et al. (J Clin Endocrinol Metab 95(3):1229–37) proposed a novel ‘data-driven’ approach based on a quantitative analysis of a large cohort of patients from the Pfizer International Growth Database (KIGS) treated with Genotropin (human growth hormone). This model allows physicians to predict and evaluate the level of growth response and responsiveness for their patients so they can adapt treatment accordingly. By comparing the actually observed and the predicted growth response the ability of an individual to respond to GH (responsiveness) can be estimated and further treatment can be adapted accordinglyObjectiveTo determine the potential population level reduction in the amount of GH used and impact on height outcome of using this data-driven approach to guide treatment decisions, compared to conventional, ‘experience-based’ GH treatment in prepubertal patients with growth hormone deficiency (GHD) or Turner syndrome (TS).MethodsA model was developed to study the height outcome and the total amount of GH used in the presence or absence of data-driven treatment decisions. The proportion of patients for whom height outcome could be improved or GH use could be reduced (i.e. for low compliance, high or low responder) was estimated using the KIGS cohort. The analysis assumed that this segmentation allows physicians to tailor dosage to the individual patient’s needs or even to discontinue therapy when it is not effective. The analysis used a 4-year time horizon, with Germany as an example country, but results are extendable to other countries. Only the total amount of GH used was included, and effects were defined as the height outcome after 4 years.ResultsThe analysis estimated that an evidence-driven approach may reduce the total amount of GH utilized by 7.0 % over 4 years for the treatment of short stature in prepubertal patients with GHD and TS in Germany. Despite the reduction in drug use the average growth outcomes remained unaffected with the new treatment approach. Univariate and probabilistic sensitivity analyses showed that the results are robust.ConclusionsOur analysis showed that using a data-driven approach to guide treatment decisions for children with GHD or TS is estimated to result in efficiencies in the amount of GH used, without reducing the average growth in the population.
The number of prescriptions and the total cost of ACE inhibitors increased over the period studied. Ramipril use increased in concert with publication of the HOPE trial, while the growth rates of other ACE inhibitors remained constant.
Direct medical costs were generally similar among patients with depression treated with venlafaxine and SSRIs. In a 'real world' setting, the higher acquisition cost of venlafaxine is offset by savings due to fewer hospitalizations and fewer outpatient medical visits. Differences in treatment persistence may also, in part, explain the observed differences in average direct medical costs between venlafaxine and SSRIs.
Worldwide, major depression is the leading cause of years lived with a disability, and the fourth cause of disability-adjusted life years. Depression is second only to hypertension as the most common chronic condition encountered in general medical practice. Unfortunately, despite the high prevalence of depression, under-recognition and under-treatment are common.Historically, clinicians have assessed the short-term effectiveness of antidepressants by response rates, often defined as a 50% reduction in depressive symptoms. However, this usually does not reflect true clinical remission, and residual symptoms are common. Persistence of residual symptoms appears to be a common link to relapse, chronic disability and suicide. The burden of not treating depression effectively to remission is significant, as the disease is an important contributor to the disability levels of the general population. Disability, in turn, has a profound impact on lost productivity and medical expenses. In 2000, depression cost the US more than US 83 billion dollars annually in lost productivity, medical expenses and premature death.Venlafaxine, a dual-acting serotonin norepinephrine (noradrenaline) reuptake inhibitor, may improve a patient's response to treatment and their chances of achieving complete remission compared with conventional antidepressant therapies, with the evidence for this being the strongest for comparisons with the selective serotonin receptor inhibitors (SSRIs). To date, there are only a small number of economic studies of venlafaxine, and most are cost or resource utilisation analyses with significant limitations. Nevertheless, two cost-effectiveness analyses of venlafaxine are available. They found venlafaxine had a lower average cost per patient achieving remission or per symptom-free day compared with SSRIs; one reported an incremental cost-effectiveness ratio for venlafaxine of US 586 dollars (year 2002 values) per additional patient achieving remission over 8 weeks, and the other found venlafaxine to be a dominant treatment choice over SSRIs over 6 months (year 2001 values). Although requiring further confirmation, these initial data suggest that venlafaxine is a cost-effective strategy for the treatment of depression. The availability of an effective armamentarium of antidepressant strategies, including venlafaxine, to achieve and sustain remission offers both clinical and economic value to all those touched by the burden of depression.
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