Assessing Preconception Wellness in the Clinical Setting Using Electronic Health Data

JOURNAL OF WOMENS HEALTH(2022)

引用 0|浏览2
暂无评分
摘要
Background: One key strategy to reduce maternal morbidity and mortality involves optimizing prepregnancy health. Although nine core indicators of preconception wellness (PCW) have been proposed by clinical experts, few studies have attempted to assess the preconception health status of a population using these indicators.Materials and Methods: We conducted a retrospective chart review study of patients who received prenatal or primary care, identified by pregnancy-related ICD-10 codes, at either of two health systems in geographically and socioeconomically different areas of North Carolina between October 1, 2015, and September 30, 2018. Our primary study aim was to determine the feasibility of measuring the proposed PCW indicators through retrospective review of prenatal electronic health records at these two institutions.Results: Data were collected from 15,384 patients at Site 1 and 6,983 patients at Site 2. The indicators most likely to be documented and to meet the preconception health goal at each site were avoidance of teratogenic medications (98.8% and 98.3% at Sites 1 and 2, respectively) and entry to care in the first trimester (64.5% and 73.5% at Sites 1 and 2, respectively), whereas our measures of folic acid use, depression screening, and discussion of family planning were documented less than 20% of the time at both sites.Conclusions: Differences in measuring and documenting PCW indicators across the two health systems in our study presented barriers to monitoring and optimizing PCW. Efforts to address health and wellness before pregnancy will likely require health systems and payors to standardize, incorporate, and promote preconception health indicators that can be consistently measured and analyzed across health systems.
更多
查看译文
关键词
preconception health, electronic health data, women's health, preconception health indicators, prenatal care
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要