Wethington, Elaine, Eccleston, Christopher, Gay, Gery, Gooberman-Hil, Rachael, Schofield, Patricia, Bacon, Elizabeth, Dombrowski, Wen, Jamison, Robert, Rothman, Max, Meadori, Lauren, Kenieni, Cara, Pillemer, Karl, Löckenhoff, Corinna and Carrington Reid, M. (2018) Establishing a research agenda on mobile health technologies and later-life pain using an evidence-based consensus workshop approach. Journal of Pain, 19 (12). pp. 1416-1423. ISSN 1526-5900 (Print), 1528-8447 (Online) (doi:10.1016/j.jpain.2018.06.006)

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Abstract

The rapid growth of mHealth devices holds substantial potential for improving care and care outcomes in all patient populations, including older adults with pain. However, existing research reflects a substantial gap in knowledge about how to design, evaluate, and disseminate devices to optimally address the many challenges associated with managing pain in older persons. Given these knowledge gaps, we sought to develop a set of practice-based research priorities to facilitate innovation in this field. We employed the Cornell Research-to-Practice Consensus Workshop Model, an evidence-based approach to generating research priorities. Sixty participants attended the conference, where stakeholder groups included older adults with pain and their caregivers, behavioral and social scientists, healthcare providers, pain experts, and specialists in mHealth and health policy. Participants generated 13 recommendations classified into two categories: 1) Implications for designing research on mHealth among older adults, e.g., conduct research on ways to enhance accessibility of mHealth tools among diverse groups of older adults with pain, expand research on mHealth sensing applications; and 2) Implementation of mHealth technology into practice and associated regulatory issues, e.g., promote research on ways to initiate/sustain patient behavior change, expand research on mHealth cyber-security and privacy issues.

Item Type:	Article
Uncontrolled Keywords:	Pain, Aging, Mobile Health, Research Recommendations
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Last Modified:	04 Mar 2022 13:06
URI:	http://gala.gre.ac.uk/id/eprint/20490

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