State-level medical and absenteeism cost of asthma in the United States

Preview — Objective: For medically treated asthma, we estimated prevalence, medical and absenteeism costs, and projected medical costs from 2015 to 2020 for the entire population and separately for children in the 50 US states and District of Columbia (DC) using the most recently available data. View Article

Pharmacoeconomics of Biologic Therapy

Preview — Novel biologic agents have allowed clinicians to achieve improved patient outcomes. Appropriate pharmacoceconomic analyses demand evaluation of all relevant costs, including the treatments, the disease and comorbidities, and costs of alternative treatments, including their short- and long-term side effects. Only with complete data can the value of therapies be correctly estimated. View Article

An expert consensus framework for asthma remission as a treatment goal

Preview — With novel therapies in development, there is an opportunity to consider asthma remission as a treatment goal. In this Rostrum, we present a generalized framework for clinical and complete remission in asthma, on and off treatment, developed on the basis of medical literature and expert consensus. A modified Delphi survey approach was used to…

Collaboration and Shared Decision-Making Between Patients and Clinicians in Preventive Health Care Decisions and US Preventive Services Task Force Recommendations

Preview — Preview: The US Preventive Services Task Force (USPSTF) works to improve the health of people nationwide by making evidence-based recommendations for preventive services. Patient-centered care is a core value in US health care. Shared decision-making (SDM), in which patients and clinicians make health decisions together, ensures patients’ rights to be informed and involved in…

Perspectives of Patients About Artificial Intelligence in Health Care

Preview: Applications of artificial intelligence (AI) in health care have increased in the past decade,1 but little is known about how patients view these applications and whether they have concerns.2 We conducted a nationally representative survey to understand public perceptions of the use of AI in diagnosis and treatment.

Promoting the Values for Surrogate Decision-Making

The process of making medical decisions used to be straightforward. Clinicians selected the treatment course they determined would best promote the patient’s interests. More recently, in response to increased emphasis on individual autonomy, it is the patient, in consultation with their clinicians and loved ones, who makes medical decisions. This approach respects patients who are able to make their own treatment decisions. However, it poses a challenge for the many adult patients who are unable to understand the information relevant to the decision in question, reason in light of this information and their own values, make a voluntary decision on this basis, or communicate their decision.