Bauer Nerissa S, Carroll Aaron E, Saha Chandan, Downs Stephen M
Indiana University School of Medicine, Department of Pediatrics, Section of Children's Health Services Research, Indianapolis, Indiana, USA Indiana University School of Medicine, Department of Pediatrics, Section of Pediatric and Adolescent Comparative Effectiveness Research, Indianapolis, Indiana, USA
Indiana University School of Medicine, Department of Pediatrics, Section of Pediatric and Adolescent Comparative Effectiveness Research, Indianapolis, Indiana, USA Regenstrief Institute for Healthcare, Indianapolis, Indiana, USA.
J Am Med Inform Assoc. 2016 Apr;23(e1):e125-30. doi: 10.1093/jamia/ocv148. Epub 2015 Nov 13.
Clinicians at our institution typically respond to about half of the prompts they are given by the clinic's computer decision support system (CDSS). We sought to examine factors associated with clinician response to CDSS prompts as part of a larger, ongoing quality improvement effort to optimize CDSS use.
We examined patient, prompt, and clinician characteristics associated with clinician response to decision support prompts from the Child Health Improvement through Computer Automation (CHICA) system. We asked pediatricians who were nonusers of CHICA to rate decision support topics as "easy" or "not easy" to discuss with patients and their guardians. We analyzed these ratings and data, from July 1, 2009 to January 29, 2013, utilizing a hierarchical regression model, to determine whether factors such as comfort with the prompt topic and the length of the user's experience with CHICA contribute to user response rates.
We examined 414 653 prompts from 22 260 patients. The length of time a clinician had been using CHICA was associated with an increase in their prompt response rate. Clinicians were more likely to respond to topics rated as "easy" to discuss. The position of the prompt on the page, clinician gender, and the patient's age, race/ethnicity, and preferred language were also predictive of prompt response rate.
This study highlights several factors associated with clinician prompt response rates that could be generalized to other health information technology applications, including the clinician's length of exposure to the CDSS, the prompt's position on the page, and the clinician's comfort with the prompt topic. Incorporating continuous quality improvement efforts when designing and implementing health information technology may ensure that its use is optimized.
我们机构的临床医生通常对诊所计算机决策支持系统(CDSS)给出的提示做出约一半的回应。作为一项更大规模、正在进行的旨在优化CDSS使用的质量改进工作的一部分,我们试图研究与临床医生对CDSS提示做出回应相关的因素。
我们研究了与临床医生对通过计算机自动化改善儿童健康(CHICA)系统的决策支持提示做出回应相关的患者、提示和临床医生特征。我们让未使用CHICA的儿科医生将决策支持主题评为与患者及其监护人讨论时“容易”或“不容易”。我们利用分层回归模型分析了2009年7月1日至2013年1月29日期间的这些评级和数据,以确定诸如对提示主题的熟悉程度以及用户使用CHICA的时间长短等因素是否会影响用户回应率。
我们检查了来自22260名患者的414653条提示。临床医生使用CHICA的时间长短与他们的提示回应率增加有关。临床医生更有可能对被评为讨论起来“容易”的主题做出回应。提示在页面上的位置、临床医生的性别以及患者的年龄、种族/族裔和首选语言也可预测提示回应率。
本研究突出了几个与临床医生提示回应率相关的因素,这些因素可推广到其他健康信息技术应用中,包括临床医生接触CDSS的时长、提示在页面上的位置以及临床医生对提示主题的熟悉程度。在设计和实施健康信息技术时纳入持续质量改进措施,可能会确保其得到优化使用。