Quality of life and rehabilitation after total artificial heart

Cardiac Related Psychosocial Distress and Traumatic Distress in Individuals with Advanced Heart Failure

Guided by the Transactional Model of Stress and Coping, this study explored relationships between cardiac related psychosocial distress, traumatic distress, and the number of lifetime traumas in people with advanced heart failure. Utilizing a cross-sectional survey design, a convenience sample of participants with advanced heart failure who received treatment in Washington, DC, completed standardized measures. Bivariate analysis showed a statistically significant difference in mean number of exposures and distress associated with advanced heart failure therapies and linear relationships between exposures and traumatic distress, distress and traumatic distress, and exposures and distress, as well as between the number of exposures and distress and traumatic distress and between the distress and traumatic distress. Multivariate analysis suggested that the higher the number of reported traumatic events, the higher the distress, and the higher the distress, the higher the traumatic distress. Social workers and allied team members should consider how a patient's distress relates to traumatic distress in the advanced stage heart failure population.

Exploring the misalignment on the value of further research between payers and manufacturers. A case study on a novel total artificial heart

Payers and manufacturers can disagree on the appropriate level of evidence that is required for new medical devices, resulting in high societal costs due to decisions taken with sub-optimal information. A cost-effectiveness model of a hypothetical total artificial heart was built using data from the literature and the (simulated) results of a pivotal study. The expected value of perfect information (EVPI) was calculated from both the payer and manufacturer perspectives, using net monetary benefit and the company's return on investment respectively. A function was also defined, linking effectiveness to market shares. Additional constraints such as a minimum clinical difference or maximum budget impact were introduced into the company's decisions to simulate additional barriers to adoption. The difference in the EVPI between manufacturers and payers varied greatly depending on the underlying decision rules and constraints. The manufacturer's EVPI depends on the probability of being reimbursed, the uncertainty on the (cost-)effectiveness of the technology, as well as other parameters relating to initial investments, operating costs and market dynamics. The use of Value of information for both perspectives can outline potential misalignments and can be particularly useful to inform early dialogs between manufacturers and payers, or negotiations on conditional reimbursement schemes.