Publications

: The US health care system is struggling with rising costs, poor outcomes, waste, and inefficiency. The Patient Protection and Affordable Care Act represents a substantial effort to improve access and emphasizes value-based care. Value in health care has been defined as health outcomes for the patient per dollar spent. However, given the opacity of health outcomes and cost, the identification and quantification of patient-centered value is problematic. These problems are magnified by highly technical, specialized care (eg, neurosurgery). This is further complicated by potentially competing interests of the 5 major stakeholders in health care: patients, doctors, payers, hospitals, and manufacturers. These stakeholders are watching with great interest as health care in the United States moves toward a value-based system. Market principles can be harnessed to drive costs down, improve outcomes, and improve overall value to patients. However, there are many caveats to a market-based, value-driven system that must be identified and addressed. Many excellent neurosurgical efforts are already underway to nudge health care toward increased efficiency, decreased costs, and improved quality. Patient-centered shared value can provide a philosophical mooring for the development of health care policies that utilize market principles without losing sight of the ultimate goals of health care, to care for patients.

Most measures of cognitive function used in large-scale surveys of older adults have limited ability to detect subtle differences across cognitive domains, and standard clinical instruments are impractical to administer in general surveys. The Montreal Cognitive Assessment (MoCA) can address this need, but has limitations in a survey context. Therefore, we developed a survey adaptation of the MoCA, called the MoCA-SA, and describe its psychometric properties in a large national survey. Using a pretest sample of older adults (n=120), we reduced MoCA administration time by 26%, developed a model to accurately estimate full MoCA scores from the MoCA-SA, and tested the model in an independent clinical sample (n=93). The validated 18-item MoCA-SA was then administered to community-dwelling adults aged 62 to 91 as part of the National Social life Health and Aging Project Wave 2 sample (n=3196). In National Social life Health and Aging Project Wave 2, the MoCA-SA had good internal reliability (Cronbach α=0.76). Using item-response models, survey-adapted items captured a broad range of cognitive abilities and functioned similarly across sex, education, and ethnic groups. Results demonstrate that the MoCA-SA can be administered reliably in a survey setting while preserving sensitivity to a broad range of cognitive abilities and similar performance across demographic subgroups.