Robin R Austin, Susan Alexander, Sarah Tupper, Jeana M Holt
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Toward Solving the Menopause Data Gap: An Evidence-Based Standardized Mapping Study Using the Omaha System.
Menopause is a significant health event that affects a large portion of the global female population, necessitating greater awareness and research to enhance women's health and quality of life during this stage. The purpose of this study was to identify validated menopause symptom checklists and map those to the Omaha System signs/symptoms terms. The authors used a consensus approach to identify menopause symptoms from six evidence-based checklists and map them to Omaha System signs and symptoms. The team mapped each symptom if it matched exactly (full match) with the Omaha System term or had a similar, although not identical, meaning (partial match). The mapping included more than 293 source text menopause symptoms to the Omaha System problems and signs/symptoms resulting in a standardized list of 72 signs/symptoms for 21 problems. Of these 72, 70 (97.2%) signs/symptoms were a full match at the problem level, and 67 (93.1%) signs/symptoms were a full or partial match at the signs/symptoms level. This study lays the groundwork for creating a more standardized, data-driven approach, for tracking menopause symptoms. Clinicians and researchers can use this checklist to assess, track, and evaluate symptoms, enabling the development of personalized treatment approaches for menopause.
期刊介绍:
For over 30 years, CIN: Computers, Informatics, Nursing has been at the interface of the science of information and the art of nursing, publishing articles on the latest developments in nursing informatics, research, education and administrative of health information technology. CIN connects you with colleagues as they share knowledge on implementation of electronic health records systems, design decision-support systems, incorporate evidence-based healthcare in practice, explore point-of-care computing in practice and education, and conceptually integrate nursing languages and standard data sets. Continuing education contact hours are available in every issue.