Behind-the-scenes of patient-centered care - Content analysis of electronic messaging among primary care clinic providers and staff

被引:11
|
作者
Stiles, Renee A.
Deppen, Stephen A.
Figaro, M. Kathleen
Gregg, William M.
Jirjis, Jim N.
Rothman, Russell L.
Johnston, Philip E.
Miller, Randolph A.
Dittus, Robert S.
Speroff, Theodore
机构
[1] Vanderbilt Univ, Med Ctr, Dept Nursing, Nashville, TN 37211 USA
[2] Vanderbilt Univ, Sch Med, Dept Gen Internal Med, Nashville, TN 37212 USA
[3] Vet Affairs Tennessee Valley Healthcare Syst, Nashville, TN USA
[4] Vanderbilt Univ, Sch Med, Dept Biomed Informat, Nashville, TN 37212 USA
[5] Vanderbilt Univ, Med Ctr, Adult Primary Care Ctr, Nashville, TN USA
[6] Belmont Univ, Sch Pharm, Nashville, TN USA
关键词
primary care; electronic messaging; chronic disease management;
D O I
10.1097/MLR.0b013e318148490c
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: Transitions to patient-centered health care, the increasing complexity of care, and growth in self-management have all increased the frequency and intensity of clinical services provided outside office settings and between visits. Understanding how electronic messaging, which is often used to coordinate care, affects care is crucial. A taxonomy for codifying clinical text messages into standardized categories could facilitate content analysis of work performed or enhanced via electronic messaging. Objective: To codify electronic messages exchanged among the primary care providers and the staff managing diabetes patients at an academic medical center. Research Design: Retrospective analysis of 27,061 electronic messages exchanged among 578 providers and staff caring for a cohort of 639 adult primary care patients with diabetes between April 1, 2003 and October 31, 2003. Subjects: Providers and staff using locally developed electronic messaging in an academic medical center's adult primary care clinic. Measures: Raw data included clinical text message content, message ID, thread ID, and user ID. Derived measures included user job classification, 35 flags codifying message content, and a taxonomy grouping the flags. Results: Messages contained diverse content: communications with patients, families, and other providers (47.2%), diagnoses (25.4%), documentation (33%), logistics and support functions (29.6%), medications (32.9%), and treatments (28.9%). All messages could be classified; 59.5% of messages addressed 2 or more content areas. Conclusions: Systematic content analysis of provider and staff electronic messages yields specific insight regarding clinical and administrative work carried out via electronic messaging.
引用
收藏
页码:1205 / 1209
页数:5
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