The influence of economic incentives and regulatory factors on the adoption of treatment technologies: a case study of technologies used to treat heart attacks.

The Technological Change in Health Care Research Network collected unique patient-level data on three procedures for treatment of heart attack patients (catheterization, coronary artery bypass grafts and percutaneous transluminal coronary angioplasty) for 17 countries over a 15-year period to examine the impact of economic and institutional factors on technology adoption. Specific institutional factors are shown to be important to the uptake of these technologies. Health-care systems characterized as public contract systems and reimbursement systems have higher adoption rates than public-integrated health-care systems. Central control of funding of investments is negatively associated with adoption rates and the impact is of the same magnitude as the overall health-care system classification. GDP per capita also has a strong role in initial adoption. The impact of income and institutional characteristics on the utilization rates of the three procedures diminishes over time.

Technology transfer of neuroprosthetic devices.

Despite long development periods for neuroprosthetic devices, the numbers in clinical use or clinical trials are rising, with an estimated 3,000 systems in use today. As they gain experience with the regulatory approval process, developers are learning to conduct research to best prepare for transfer of technology to industry. The track record of the first motor prosthesis to be approved by the United States Food and Drug Administration contains important lessons for a company planning to undergo the regulatory process. Throughout the development of a neuroprosthesis, the capabilities and preferences of the customers who will use it (physicians, surgeons, therapists, and end-users) should be sought out and used in device design. When a device has reached clinical application, particular attention is needed to maximize both the population who will use it and each individual's degree of use (optimal, partial, reluctant). Identification of person-technology mismatches can help to select training strategies and other interventions that can be applied to ensure a good rehabilitation outcome.