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临床试验/NCT03542084
NCT03542084已完成不适用

Impact of Endocrinology Auto-triggered E-consults on Glycemic Control

Massachusetts General Hospital2 个研究点 分布在 1 个国家目标入组 305 人开始时间: 2018年9月4日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
305
试验地点
2
主要终点
Glycemic Control

研究概览

简要总结

Diabetes currently affects 25.8 million people in the U.S. Patients with diabetes are generally managed, at least initially, by a primary care practitioner (PCP). As the prevalence of diabetes continues to rise, PCPs are under increased pressure to achieve recommended glycemic targets. Failure to achieve these targets has been shown to increase clinical complications and cost of care.

Endocrinology referral is common for those patients not meeting A1c goals. Unfortunately, access to specialty endocrinology care is limited and patients routinely wait weeks or months before being seen. Electronic consultation (e-consult) is a new and innovative delivery model that has the potential to provide greater access to specialty care. The current system at Massachusetts General Hospital (MGH) allows PCPs to electively place an e-consult to solicit specialist input. Specialists in turn review the patients chart, relevant data and the clinical question and respond within the electronic medical record. E-consults have been well received by both patients and physicians, not only at MGH, but also across many centers in the US. With that said, the e-consult system remains in its infancy and current literature largely focuses on process metrics without hard clinical end-points.

One way to optimize care for patients with diabetes is to automatically trigger an endocrinology e-consult for those not meeting A1c targets. The goal of this project will be to conduct a rigorous scientific evaluation of auto-triggered e-consults across Massachusetts General Hospitals affiliated primary care practices. The e-consults will be unsolicited and triggered based on inclusion criteria that include a1c and date of last PCP visit. This project will leverage an existing diabetes population health registry that is being used currently for ongoing diabetes care initiatives.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Treatment
盲法
None

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Diabetic patients with a PCP at Massachusetts General Hospital and HbA1c between 8-10 who have seen their PCP in the office within 18 months

排除标准

  • Terminal Illness
  • Prior visit with MGH diabetes center
  • Prior diabetes e-consult completed

结局指标

主要结局

Glycemic Control

时间窗: 6, 12, and 18 months

Mean change in HbA1c levels in the patient population

次要结局

  • A1c testing frequency(6,12, and 18 months)
  • Adoption of e-consult recommendations(6, 12, and 18 months)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Daniel M Horn

Director of Population Health and Quality Improvement

Massachusetts General Hospital

研究点 (2)

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