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6 Facilitated Table Discussions
Pages 71-78

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From page 71...
... The reports from the table discussions were delivered by the following individuals, listed alphabetically: Davis Baird, National Association of Area Agencies on Aging; Elizabeth Blair, Center for Elder Care and Advanced Illness; Margaret Campbell, Campbell & Associates; Karl Cooper, American Association of Health and Disability; Kevin Cordeiro, The John A Hartford Foundation; Thomas Edes, Department of Veterans Affairs; Valerie Edwards, Centers for Disease Control and Prevention; John Hough, National Center for Health Statistics; H
From page 72...
... (Wilson) • Expose health care professionals to community settings early in their training to help incentivize them to work in those settings after completing their training.
From page 73...
... • Collect data on the reasons for turnover among health care w ­ orkers and to determine if a lack of training is a cause of high turnover. This will require data from both quantitative and quali tative methods and could require modeling and surveying.
From page 74...
... The Agency for Healthcare Research and Quality's Health Care Innovations Exchange1 could serve as a model for this type of repository, which would need to have a strong dissemination component to raise awareness of its existence.
From page 75...
... Quantitative data are important for demonstrating desired outcomes such as reducing costs, hospital readmissions, institutionalization, and emergency department utilization, while qualitative data are needed to understand the impact of interventions on patient-reported outcomes such as satisfaction with care and worker-reported outcomes. (Cordeiro, Edes, Lustig, Tan)
From page 76...
... • Evaluate whether rapidly changing technologies might require policy changes to address how often and how many times payers will provide reimbursement for new equipment; the inconsistent speed at which technology and policies change could inhibit tech nology adoption. (Lustig)
From page 77...
... • Gather information on the factors that consumers, particularly older adults, believe would break down barriers to technology adoption. Participatory consumer research that engages a broad range of people from the design through testing phases of tech nology development could generate such data and help ensure that those data are actually informing technology development.


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