Mapping Uncharted Terrain: A Systematic Review of Complementary and Integrative Health Communication Using Observational Data in Biomedical Settings

ABSTRACT

Complementary and integrative health (CIH) use is diverse and highly prevalent worldwide. Prior research of CIH communication in biomedical encounters address safety, efficacy, symptom management, and overall wellness. Observational methods are rarely used to study CIH communication and avoid recall bias, preserve ecological validity, and contextualize situated clinical communication. Following PRISMA guidelines, we systematically reviewed studies at the intersection of social scientific observational research and findings about CIH communication between clinicians, patients, and caregivers in biomedical settings. We identified international, peer-reviewed publications from seven databases between January 2010 and December 2020. Titles and abstracts were first screened for inclusion, then full studies were coded using explicit criteria. We used a standard checklist was modified to assess article quality. Ten of 11,793 studies examined CIH communication using observational methods for CIH communication in biomedical settings. Studies used a range of observational techniques, including participant and non-participant observation, which includes digital audio or video recordings. Results generated two broad sets of findings, one focused on methodological insights and another on CIH communication. Despite methodological and topic similarities, included studies addressed CIH communication as a process and as proximal and intermediate health outcomes. We recommend how observational studies of CIH communication can better highlight relationships between communication processes and health outcomes. Current research using observational methods offers an incomplete picture of CIH communication in biomedical settings. Future studies should standardize how observational techniques are reported to enhance consistency and comparability within and across biomedical settings to improve comparability.

Acknowledgments

We would like to thank librarians Hong-Nei Wong and Claire Sharifi, and research assistants Flora Cheung, Jennifer Hill, Allison Jones, Jennifer Zhang, Eddy Raykhelson, and Elise Ng for their contributions to this article.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

The authors reported there is no funding associated with the work featured in this article.