| Literature DB >> 29969726 |
Elaine Wethington1, Christopher Eccleston2, Geri Gay3, Rachael Gooberman-Hill4, Patricia Schofield5, Elizabeth Bacon6, Wen Dombrowski7, Robert Jamison8, Max Rothman1, Lauren Meador9, Cara Kenien9, Karl Pillemer1, Corinna Löckenhoff1, M Carrington Reid10.
Abstract
The rapid growth of mobile health (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-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 2 categories: 1) implications for designing research on mHealth among older adults (eg, 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 (eg, promote research on ways to initiate/sustain patient behavior change, expand research on mHealth cybersecurity and privacy issues). PERSPECTIVE: This report highlights a set of research priorities in the area of mHealth and later-life pain derived from the joint perspectives of researchers and key stakeholder groups. Addressing these priorities could help to improve the quality of care delivered to older adults with pain.Entities:
Keywords: Pain; aging; mobile health; research recommendations
Mesh:
Year: 2018 PMID: 29969726 PMCID: PMC6289607 DOI: 10.1016/j.jpain.2018.06.006
Source DB: PubMed Journal: J Pain ISSN: 1526-5900 Impact factor: 5.820