Corser William, Yuan Sha
Statewide Campus System, College of Osteopathic Medicine, Michigan State University, East Lansing, MI, USA
Institute for Health Policy, College of Human Medicine, Michigan State University, East Lansing, MI, USA.
J Diabetes Sci Technol. 2015 Aug 20;10(2):429-34. doi: 10.1177/1932296815601689.
These 2011-2013 analyses examined the authors' hypothesis that relative diabetes care order changes would be measured after electronic health record (EHR) implementation for 291 Medicaid adults who received all of their office-based care at one midwestern federally qualified health center (FQHC) over a 24-month period (n = 2727 encounters, 2489 claims).
Beneficiary sociodemographic, clinical, and claims data were validated with clinic EHR and state Medicaid claims linked to providers' national identifier numbers. Overall pre-post order rate comparisons, and a series of controlled within group binary logistic models were conducted under penalized maximum likelihood estimation terms.
After EHR implementation, both the overall order rates and odds ratios of per beneficiary hemoglobin A1C (HbA1C) orders increased significantly (ie, from mean of 0.65 [SD = 1.19] annual tests to 0.96 tests [SD = 1.24] [P < .001]). Although the overall post-EHR order rates of dilated eye exams and microalbumin urine tests appeared fairly stable, the odds of eye exam orders being placed at the claims level decreased significantly (OR = 0.774, P = .0030).
These mixed results provide evidence of the varied diabetes care ordering patterns likely seen from increased office use of EHR technologies. The authors attempt to explain these post-EHR differences (or lack of) that generally resemble some of the authors' results from another funded project. Ideally, these findings provide Medicaid and health care officials with a more realistic indication of how EHRs may, or may not, influence diabetes care ordering patterns for vulnerable lower-income primary health care consumers.
这些2011 - 2013年的分析检验了作者的假设,即在一家中西部联邦合格健康中心(FQHC)接受为期24个月全部门诊护理的291名医疗补助成年患者实施电子健康记录(EHR)后,相对糖尿病护理医嘱变化将会得到衡量(n = 2727次诊疗,2489份索赔申请)。
受益人的社会人口统计学、临床和索赔数据通过与诊所EHR以及与提供者国家识别号相关联的州医疗补助索赔进行验证。在惩罚最大似然估计条件下进行总体前后医嘱率比较以及一系列组内对照二元逻辑模型分析。
实施EHR后,每位受益人血红蛋白A1C(HbA1C)医嘱的总体医嘱率和比值比均显著增加(即,从年均检测0.65次[标准差 = 1.19]增至0.96次检测[标准差 = 1.24][P <.001])。虽然散瞳眼科检查和微量白蛋白尿检测的总体EHR实施后医嘱率看起来相当稳定,但在索赔层面开具眼科检查医嘱的几率显著下降(比值比 = 0.774,P =.003)。
这些混合结果证明了在诊所更多使用EHR技术可能会出现的各种糖尿病护理医嘱模式。作者试图解释这些EHR实施后的差异(或无差异),这些差异总体上与作者在另一个资助项目中的一些结果相似。理想情况下,这些发现为医疗补助和医疗保健官员提供了一个更现实的指标,以表明EHR如何或是否可能影响弱势低收入初级卫生保健消费者的糖尿病护理医嘱模式。