Development of Order Sets to Improve the Rate of Obesity Counseling by Healthcare Providers in a Women's Health Clinic.

IF 1.9 4区 医学 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Erin M Wax, Debra A Hrelic, Kellie M Griggs
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引用次数: 0

Abstract

Obesity is health epidemic associated with health conditions specific to women's health. Healthcare providers must identify and develop a follow-up plan for patients with a body mass index of greater than 30 kg/m 2 to meet the Merit-Based Incentive Payment System Quality Program rate for body mass index screening and follow-up. Barriers to addressing obesity in this population by healthcare providers include time available for counseling and knowledge about appropriate diagnosis and treatment options. This is a quality improvement project that implements a clinical template within an existing electronic health record platform that includes a treatment order set and prepopulated counseling prompts to improve the rate of which healthcare providers address obesity within the women's health clinic. After 12 weeks, 27 patients started a weight management plan, and the Merit-Based Incentive Payment System rate increased from 59% to 67%. Implementation of order set templates into electronic health record platforms with counseling guidance provides a framework for providers to develop a plan to address obesity to meet their patient's health goals and reduce health disparities related to obesity in women.

开发订单集以提高妇女健康诊所医疗保健提供者的肥胖咨询率。
肥胖是一种健康流行病,与妇女特有的健康状况有关。医疗保健提供者必须为体重指数大于30 kg/m2的患者确定并制定随访计划,以满足基于绩效的激励支付系统质量计划对体重指数筛查和随访的比率。医疗保健提供者解决这一人群肥胖问题的障碍包括提供咨询的时间和适当诊断和治疗选择的知识。这是一个质量改进项目,在现有的电子健康记录平台中实现一个临床模板,该模板包括治疗订单集和预先填充的咨询提示,以提高医疗保健提供者在妇女健康诊所中解决肥胖问题的比率。12周后,27名患者开始了体重管理计划,基于绩效的激励支付系统的比率从59%增加到67%。在带有咨询指导的电子健康记录平台中实施订单集模板,为提供者制定解决肥胖问题的计划提供了一个框架,以满足其患者的健康目标,并减少与妇女肥胖有关的健康差距。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cin-Computers Informatics Nursing
Cin-Computers Informatics Nursing 工程技术-护理
CiteScore
2.00
自引率
15.40%
发文量
248
审稿时长
6-12 weeks
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.
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