Sarkar Urmimala, Handley Margaret A, Gupta Reena, Tang Audrey, Murphy Elizabeth, Seligman Hilary K, Shojania Kaveh G, Schillinger Dean
Department of Medicine, Division of General Internal Medicine, University of California, San Francisco, San Francisco, CA 94143-1211, USA.
J Gen Intern Med. 2008 Apr;23(4):459-65. doi: 10.1007/s11606-007-0398-7.
There is growing interest in the use of interactive telephone technology to support chronic disease management. We used the implementation of an automated telephone self-management support program for diabetes patients as an opportunity to monitor patient safety.
We identified adverse and potential adverse events among a diverse group of diabetes patients who participated in an automated telephone health-IT self-management program via weekly interactions augmented by targeted nurse follow-up. We defined an adverse event (AE) as an injury that results from either medical management or patient self-management, and a potential adverse event (PotAE) as an unsafe state likely to lead to an event if it persists without intervention. We distinguished between incident, or new, and prevalent, or ongoing, events. We conducted a medical record review and present summary results for event characteristics including detection trigger, preventability, potential for amelioration, and primary care provider awareness.
Among the 111 patients, we identified 111 AEs and 153 PotAEs. Eleven percent of completed calls detected an event. Events were most frequently detected through health IT-facilitated triggers (158, 59%), followed by nurse elicitation (80, 30%), and patient callback requests (28, 11%). We detected more prevalent (68%) than incident (32%) events. The majority of events (93%) were categorized as preventable or ameliorable. Primary care providers were aware of only 13% of incident and 60% of prevalent events.
Surveillance via a telephone-based, health IT-facilitated self-management support program can detect AEs and PotAEs. Events detected were frequently unknown to primary providers, and the majority were preventable or ameliorable, suggesting that this between-visit surveillance, with appropriate system-level intervention, can improve patient safety for chronic disease patients.
人们对使用交互式电话技术来支持慢性病管理的兴趣与日俱增。我们利用为糖尿病患者实施的自动化电话自我管理支持项目,作为监测患者安全的契机。
我们在一群参与自动化电话健康信息技术自我管理项目的糖尿病患者中,通过每周的互动以及有针对性的护士随访,识别不良事件和潜在不良事件。我们将不良事件(AE)定义为由医疗管理或患者自我管理导致的损伤,将潜在不良事件(PotAE)定义为如果不进行干预持续存在可能导致事件的不安全状态。我们区分了新发事件和现患事件。我们进行了病历审查,并呈现了事件特征的汇总结果,包括检测触发因素、可预防性、改善可能性以及初级保健提供者的知晓情况。
在111名患者中,我们识别出111起不良事件和153起潜在不良事件。11%的已完成通话检测到了事件。事件最常通过健康信息技术促进的触发因素检测到(158起,59%),其次是护士诱导(80起,30%)和患者回电请求(28起,11%)。我们检测到的现患事件(68%)多于新发事件(32%)。大多数事件(93%)被归类为可预防或可改善的。初级保健提供者仅知晓13%的新发事件和60%的现患事件。
通过基于电话的、健康信息技术促进的自我管理支持项目进行监测,可以检测到不良事件和潜在不良事件。初级提供者往往不知道检测到的事件,而且大多数事件是可预防或可改善的,这表明这种就诊期间的监测,通过适当的系统层面干预,可以提高慢性病患者的安全性。