A Bibliographic Database Search Strategy Informed by an Operational Definition of Complementary, Alternative, and Integrative Medicine

Abstract Background Determining which therapies fall under the umbrella of complementary, alternative, and/or integrative medicine (CAIM) is difficult for several reasons. An operational definition is dynamic, and changes depending on both historical time period and geographical location, with many countries integrating or considering their traditional system(s) of medicine as conventional care. We have previously reported the first operational definition of CAIM informed by a systematic search. In the present study, we have developed a bibliographic database keyword search strategy for CAIM based on this operational definition, in order to standardize research involving systematic searches such as systematic reviews and bibliometric analyses. Methods Using the finalised operational definition of CAIM's 604 therapies, a single keyword search strategy was developed for the most common bibliographic databases, including those searchable on the OVID platform (e.g., MEDLINE, EMBASE, PsycINFO, AMED), the EBSCO platform (e.g., ERIC, CINAHL), Scopus, and Web of Science. The Therapeutic Research Center's “Natural Medicines” database was searched for all 604 therapies, and each item's scientific name and/or synonym was included as a phrase to the search strategy. Results This developed bibliographic database search strategy provides a standardised list of CAIM terms that may be searched on bibliographic databases including those found on the OVID platform (e.g., MEDLINE, EMBASE, PsycINFO, AMED), the EBSCO platform (e.g., ERIC, CINAHL), Scopus, and Web of Science. Conclusion Researchers can select relevant terms for their CAIM study and insert the keywords or phrases into these databases to receive all accessible data. This search technique can simply be copied and pasted into the search bar of each database to identify research by keywords, which is the most inclusive, or by words in the article title, which is more selective. Given its versatility across multiple commonly used academic platforms/databases, it is expected that this search strategy will be of great value to those conducting research on CAIM topics involving systematic searches.