Background: This presentation discusses stakeholder engagement in selecting topics for Campbell Collaboration systematic reviews.
Objectives: Discuss methods for involving stakeholders in topic selection for American Institutes for Research (AIR)'s Center on Knowledge Translation for Employment Research (KTER Center) reviews.
Methods: Case Study 1: Cancer and the Americans with Disabilities Act (ADA)
Methods included survey, and collaboration with policy analysts.
To choose the topic for Fong et al. 2015, KTER staff drew on survey research of healthcare providers and individuals with cancer indicating their awareness of the ADA was low. Concurrently, partners at the Southwest ADA Center shared analysis of cancer-related ADA amendments. KTER conducted a systematic review of interventions to support employees with cancer and embedded findings into a webcast.
Case Study 2: Traumatic brain injury (TBI) and use of a secret Facebook group
Methods included survey, key informant interviews, and focus groups.
To choose the topic for Graham et al. 2016, KTER staff surveyed rehabilitation researchers regarding the need for and feasibility of potential topics, and then interviewed directors of state vocational rehabilitation agencies regarding the researchers’ selections. Concurrently, focus groups were conducted with individuals with disabilities regarding if and how they used research to acquire and maintain employment. Participants reported that social media was a platform of interest. The consequent intervention tested the use of a private Facebook group among individuals with TBI to promote the use of review findings.
Case 1: Many participants already knew about the ADA. Follow-up interviews with indicated only sporadic need for the information.
Case 2: Individuals with TBI participated in the platform, and it was effective in conveying webcast content, but did not affect their employment outcomes.
Conclusions: To ensure uptake, engaging stakeholders in topic selection is necessary but insufficient. Other barriers exist, such as cost to the user, relative interest in the platform,and frequency of need for the information.