The Burden of Progressive-Fibrosing Interstitial Lung Diseases.

Despite conventional treatment, a proportion of interstitial lung disease (ILD) patients develop a progressive phenotype known as "fibrosing ILD with a progressive phenotype" (PF-ILD), characterized by worsening respiratory symptoms, decline in lung function, and early mortality. This review describes the epidemiology, and the humanistic and economic burden of PF-ILDs other than idiopathic pulmonary fibrosis (non-IPF PF-ILD). A structured review of the literature was conducted, using predefined search strategies in Ovid MEDLINE and EMBASE, and supplemented with gray literature searches. The search identified 3,002 unique articles and an additional 3 sources were included from the gray literature; 21 publications were included. The estimated prevalence of non-IPF PF-ILD ranges from 6.9 to 70.3/100,000 persons and the estimated incidence from 2.1 to 32.6/100,000 person-years. Limited evidence demonstrates that PF-ILD has a significant impact on patients' quality of life, affecting their daily lives, psychological well-being, careers, and relationships. PF-ILD is also associated with significant economic burden, demonstrating higher healthcare resource use and direct costs compared with the non-progressive phenotype, and indirect costs, which include job losses. This review indicates that PF-ILD places a considerable humanistic burden on both patients and caregivers, and a substantial economic burden on healthcare systems, patients, and society.

Incorporating the Environmental Impact into a Budget Impact Analysis: The Example of Adopting RESPIMAT® Re-usable Inhaler.

BACKGROUND: RESPIMAT® re-usable enables patients to re-use the inhaler and its availability therefore reduces the number of inhalers and associated wastage. OBJECTIVE: The objective of this study was to perform an economic evaluation that incorporates the ecological impact of adopting RESPIMAT re-usable into the healthcare system in Germany. METHODS: Inhaler costs and environmental impact over 5 years in Germany in a scenario with RESPIMAT re-usable compared to a scenario without RESPIMAT re-usable were estimated using a budget impact model. The carbon emissions were derived for each treatment pattern considering the whole life cycle (cradle-to-grave) of the inhaler product. The cost of carbon emissions was estimated using a societal cost per ton of carbon emission. RESULTS: By introducing RESPIMAT re-usable in Germany, it was estimated that by 2023, the number of inhalers used would have decreased by 5,748,750 compared to a scenario without RESPIMAT re-usable. In addition, this measure would reduce the environmental burden of inhaler use while at the same time reducing medical cost of inhalers. CONCLUSIONS: Adopting RESPIMAT® re-usable to the national healthcare services may be a cost-saving option, which has the additional benefit of reducing the societal cost of carbon emissions.

Cost-effectiveness of tiotropium versus glycopyrronium in moderate to very severe chronic obstructive pulmonary disease in Canada, Spain, Sweden, and the UK.

OBJECTIVES: Tiotropium (TIO), Spiriva® Handihaler®, is a well-established bronchodilator, LAMA (long acting muscarinic antagonist), for the treatment of moderate to very severe chronic obstructive pulmonary disease (COPD). Clinical evidence from the SPARK trial suggests that TIO is superior to glycopyrronium (GLY), Seebri® Breezhaler®, in terms of severe exacerbations. This modeling study assessed the cost-effectiveness of TIO versus GLY for Canada (CAN), Spain (ESP), Sweden (SWE), and the UK, making use of this new clinical evidence. METHODS: A Markov cohort model, with moderate to very severe (Global Initiative for Chronic Obstructive Lung Disease II-IV) COPD patients, was populated with efficacy data from the Understanding Potential Long-term Impacts on Function with Tiotropium (UPLIFT) and SPARK trials as well as costs, utilities, and epidemiological data relevant for each country. Treatment efficacy was modeled as improvements in lung function, quality-adjusted life years (QALYs), and as a lowering of the risk of exacerbations (rate of exacerbations). Risks of exacerbations differed between cohorts based on data from SPARK. Health and cost outcomes were simulated over an approximate lifetime horizon, starting from the age of 65 years. Robustness of results was validated in deterministic sensitivity analyses. RESULTS: Over the lifetime horizon, patients treated with TIO accumulated -623 (CAN), 1,066 (ESP), 1,137 (SWE), and -169 (UK), respectively, in incremental costs (€2014). TIO generated better health outcomes compared to GLY in all countries, 0.21 (CAN), 0.25 (ESP), 0.23 (SWE), and 0.23 (UK) in incremental QALYs. The cost per QALY gained was found to be €4,281 and €1,137 for ESP and SWE, respectively, while TIO was found to be cost saving in CAN and the UK. The results were mainly driven by the relative risk of severe exacerbations found in SPARK (GLY/TIO relative risk: 1.43, 95% confidence interval: 1.05-1.97, P=0.025). CONCLUSION: The results from this study show that TIO is a cost-effective treatment compared to GLY in moderate to very severe COPD. The cost per QALY is well below the existing implicit and explicit willingness-to-pay thresholds.

Patient-reported outcomes, patient-reported information: from randomized controlled trials to the social web and beyond.

Internet communication is developing. Social networking sites enable patients to publish and receive communications very easily. Many stakeholders, including patients, are using these media to find new ways to make sense of diseases, to find and discuss treatments, and to give support to patients and their caregivers. We argue for a new definition of patient-reported information (PRI), which differs from the usual patient-reported outcomes (PRO). These new emergent data from the social web have important implications for decision making, at both an individual and a population level. We discuss new emergent technologies that will help aggregate this information and discuss how this will be assessed alongside the use of PROs in randomized controlled trials and how these new emergent data will be one facet of changing the relationship between the various stakeholders in achieving better co-created health.

An atmospheric visual analysis and exploration system.

Meteorological research involves the analysis of multi-field, multi-scale, and multi-source data sets. In order to better understand these data sets, models and measurements at different resolutions must be analyzed. Unfortunately, traditional atmospheric visualization systems only provide tools to view a limited number of variables and small segments of the data. These tools are often restricted to two-dimensional contour or vector plots or three-dimensional isosurfaces. The meteorologist must mentally synthesize the data from multiple plots to glean the information needed to produce a coherent picture of the weather phenomenon of interest. In order to provide better tools to meteorologists and reduce system limitations, we have designed an integrated atmospheric visual analysis and exploration system for interactive analysis of weather data sets. Our system allows for the integrated visualization of 1D, 2D, and 3D atmospheric data sets in common meteorological grid structures and utilizes a variety of rendering techniques. These tools provide meteorologists with new abilities to analyze their data and answer questions on regions of interest, ranging from physics-based atmospheric rendering to illustrative rendering containing particles and glyphs. In this paper, we will discuss the use and performance of our visual analysis for two important meteorological applications. The first application is warm rain formation in small cumulus clouds. Here, our three-dimensional, interactive visualization of modeled drop trajectories within spatially correlated fields from a cloud simulation has provided researchers with new insight. Our second application is improving and validating severe storm models, specifically the Weather Research and Forecasting (WRF) model. This is done through correlative visualization of WRF model and experimental Doppler storm data.