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Factors Considered Important by Healthcare Professionals for the Management of Using Complementary Therapy in Diabetes: A Text-Mining Analysis.
Comput Inform Nurs
June 2023
Author Affiliations : Department of Nursing, Chang Gung University of Science and Technology (Dr Chang); and Division of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital (Dr Chang), Taoyuan; Department of Health-Business Administration (Dr Yang) and Department of Health-Business Administration (Dr Lo), Fooyin University, Kaohsiung; and Division of Endocrinology and Metabolism, Chang Gung Memorial Hospital (Dr Huang); College of Medicine, Chang Gung University (Dr Huang), Taoyuan, Taiwan.
Text-mining algorithms can identify the most prevalent factors of risk-benefit assessment on the use of complementary and integrative health approaches that are found in healthcare professionals' written notes. The aims of this study were to discover the key factors of decision-making on patients' complementary and integrative health use by healthcare professionals and to build a consensus-derived decision algorithm on the benefit-risk assessment of complementary and integrative health use in diabetes. The retrospective study of an archival dataset used a text-mining method designed to extract and analyze unstructured textual data from healthcare professionals' responses.
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