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Advancing multi-level health communication research: A Delphi study on barriers and opportunities
April Y Oh1, Camella J Rising2, Anna Gaysynsky3,4
1Implementation Science Team, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA.
Abstract:
Adopting a multi-level perspective that considers the many interrelated contexts influencing health could make health communication interventions more effective and equitable. However, despite increasing interest in the use of multi-level approaches, multi-level health communication (MLHC) interventions are infrequently utilized. We therefore sought to conduct a modified Delphi study to better understand how researchers conceptualize MLHC interventions and identify opportunities for advancing MLHC work. Communication and health behavior experts were invited to complete two rounds of surveys about the characteristics, benefits, pitfalls, best practices, barriers, and facilitators of MLHC interventions; the role of technology in facilitating MLHC interventions; and ways to advance MLHC intervention research (46 experts completed the first survey, 44 completed both surveys). Survey data were analyzed using a mixed-methods approach. Panelists reached consensus on two components of the proposed definition of MLHC interventions and also put forward a set of best practices for these interventions. Panelists felt that most health intervention research could benefit from a multi-level approach, and generally agreed that MLHC approaches offered certain advantages over single-level approaches. However, they also expressed concern related to the time, cost, and complexity of MLHC interventions. Although panelists felt that technology could potentially support MLHC interventions, they also recognized the potential for technology to exacerbate disparities. Finally, panelists prioritized a set of methodological advances and practical supports that would be needed to facilitate future MLHC intervention research. The results of this study point to several future directions for the field, including advancing how interactions between levels are assessed, increasing the empirical evidence base demonstrating the advantages of MLHC interventions, and identifying best practices for the use of technology. The findings also suggest that researchers may need additional support to overcome the perceived practical challenges of conducting MLHC interventions.
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