108 research outputs found

    Long-term cost-effectiveness of digital inhaler adherence technologies in difficult-to-treat asthma

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    BACKGROUND: Digital inhalers can monitor inhaler usage, support difficult-to-treat asthma management and inform step-up treatment decisions yet their economic value is unknown, hampering wide-scale implementation.OBJECTIVE: We aimed to assess the long-term cost-effectiveness of digital inhaler-based medication adherence management in difficult-to-treat asthma.METHODS: A model-based cost-utility analysis was performed. The Markov model structure was determined by biological and clinical understanding of asthma and was further informed by guideline-based assessment of model development. Internal and external validation was performed using the AdViSHE tool. The INCA Sun randomized clinical trial data were incorporated into the model to evaluate the cost-effectiveness of digital inhalers. Several long-term clinical case scenarios were assessed (reduced number of exacerbations, increased asthma control, introduction of biosimilars [25% price-cut on biologics]).RESULTS: The long-term modelled cost-effectiveness based on a societal perspective indicated 1-year per-patient costs for digital inhalers and usual care (i.e., regular inhalers) of €7,546 and €10,752, respectively, reflecting cost savings of €3,207 for digital inhalers. Using a 10-year intervention duration and time horizon resulted incost savings of €26,309 for digital inhalers. In the first year, add-on biologic therapies accounted for 69% of the total costs in the usual care group, and for 49% in the digital inhaler group. Scenario analyses indicated consistent cost savings ranging from €2,287 (introduction biosimilars) to €4,581 (increased control, decreased exacerbations).CONCLUSION: In patients with difficult-to-treat asthma, digital inhaler based interventions can be cost-saving on the long-term by optimizing medication adherence and inhaler technique and reducing add-on biologic prescriptions.</p

    Long-term cost-effectiveness of digital inhaler adherence technologies in difficult-to-treat asthma

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    BACKGROUND: Digital inhalers can monitor inhaler usage, support difficult-to-treat asthma management and inform step-up treatment decisions yet their economic value is unknown, hampering wide-scale implementation.OBJECTIVE: We aimed to assess the long-term cost-effectiveness of digital inhaler-based medication adherence management in difficult-to-treat asthma.METHODS: A model-based cost-utility analysis was performed. The Markov model structure was determined by biological and clinical understanding of asthma and was further informed by guideline-based assessment of model development. Internal and external validation was performed using the AdViSHE tool. The INCA Sun randomized clinical trial data were incorporated into the model to evaluate the cost-effectiveness of digital inhalers. Several long-term clinical case scenarios were assessed (reduced number of exacerbations, increased asthma control, introduction of biosimilars [25% price-cut on biologics]).RESULTS: The long-term modelled cost-effectiveness based on a societal perspective indicated 1-year per-patient costs for digital inhalers and usual care (i.e., regular inhalers) of €7,546 and €10,752, respectively, reflecting cost savings of €3,207 for digital inhalers. Using a 10-year intervention duration and time horizon resulted incost savings of €26,309 for digital inhalers. In the first year, add-on biologic therapies accounted for 69% of the total costs in the usual care group, and for 49% in the digital inhaler group. Scenario analyses indicated consistent cost savings ranging from €2,287 (introduction biosimilars) to €4,581 (increased control, decreased exacerbations).CONCLUSION: In patients with difficult-to-treat asthma, digital inhaler based interventions can be cost-saving on the long-term by optimizing medication adherence and inhaler technique and reducing add-on biologic prescriptions.</p

    Anthropogenic noise events perturb acoustic communication networks

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    Anthropogenic noise sources impact ecological processes by altering wildlife behavior and interactions with cascading impacts on community structure. The distribution and magnitude of such noise has grown exponentially over the past century, and now inundates even remote areas. Here we investigate biological responses to prolific, anthropogenic noise sources associated with the physical presence of the source (vehicle noise and human voices) and disconnected from it (aircraft overflight). Bioacoustic responses to these noise sources were documented at 103 sites in 40 U. S. National Park units. The presence of bird sounds was noted in 10-s audio samples every 2 min, for 8 days at each site and related to the presence of human voices, vehicle noise, and aircraft noise in the same and preceding samples. Generalized additive models were used to fit smoothing splines to weight the influence of noise in past samples on the probability of detecting bird sounds in the present sample. We found that the probability of hearing birds increased immediately following noise events, and decreased about 2 h after the event. The negative effects were persistent more than 3 h after a noise event. The persistence of these responses – especially for noise from jets that were many kilometers distant – raises questions about the functional significance and ecological consequences of this altered activity, particularly in light of the widespread and diverse habitats in this study and ubiquity of the noise sources evaluated

    Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

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    As mortality rates decline, life expectancy increases, and populations age, non-fatal outcomes of diseases and injuries are becoming a larger component of the global burden of disease. The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016
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