Engagement activities are defined along a continuum that analyzes and represents nonacademic stakeholder activities and interactions with academic researchers. Proposed continua begin with none to limited stakeholder inclusion and input into research and continue with descriptions of increasing presence, input, and participation in decision-making. Despite some agreement in the literature, development of consistent terminology and definitions has been recommended to promote the common understanding of strategies in engaged research. This paper sought to develop and understand classifications and definitions of community-engaged research that can serve as the foundation of a measure of engaged research that permits comparisons among engagement strategies and the outcomes that they produce in health- and healthcare-related research studies. Data on academic and stakeholder perceptions and understandings of classifications and definitions were obtained using Delphi process (N = 19) via online and face-to-face survey and cognitive response interviews (N = 16). Participants suggested the need for more nuanced understanding of engagement along portions of the continuum, with active involvement and decision-making as engagement progressed. Cognitive interview responses suggested that outreach and education is a more advanced level of engagement than previously discussed in the literature and viewed consultation negatively because it required work without guaranteeing community benefit. It is possible to define a continuum of patient- and community-engaged research that is understood and accepted by both academic researchers and community members. However, future research should revisit the understanding and depiction of the strategies that are to be used in measure development.
Background Automated phone appointment reminders have improved adherence with follow‐up appointments in a variety of hospital settings, but have mixed results in patients discharged from the emergency department (ED). Increasing adherence to follow‐up care has been a priority in the ED to improve patient outcomes and reduce unnecessary future visits. Methods We conducted a prospective randomized open, blinded end‐point (PROBE) trial of 278 adult patients discharged from the ED and referred to a provider for follow‐up care. Participants in the intervention arm received a self‐scheduling text or phone message that automatically connected them to their referral provider to schedule a follow‐up appointment and sent them appointment reminders. Those in the control arm received standard‐of‐care written instructions to contact listed referral providers. The primary outcome was time to appointment. The secondary outcome was time to return visit to the ED. Results The automated reminders increased the cumulative incidence of keeping the referral appointment after ED discharge (p < 0.001, Gray's test). Of participants randomized to the automated phone intervention, 49.3% (n = 74) kept their follow‐up appointment versus 23.4% (n = 30) in the control arm, with a hazard ratio (HR) and 95% confidence interval (CI) over the duration of the study period of 2.4 (1.6 to 3.7; p < 0.001). In a sensitivity analysis using 30 days of follow‐up data, 42.0% (n = 63) of participants randomized to the phone intervention kept their follow‐up versus 21.1% (n = 27) in the control arm, with a HR (95% CI) of 2.2 (1.4 to 3.5; p < 0.001). There was no difference in ED revisits between the intervention and control group within 120 days postdischarge. Conclusions An automated self‐scheduling phone system significantly improved follow‐up adherence after ED discharge, but did not decrease ED revisits.
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