Automated Communication Tools and Computer-Based Medication Reconciliation to Decrease Hospital Discharge Medication Errors

被引：12

作者：

Smith, Kenneth J. ^{[1
]}

Handler, Steven M. ^{[1
]}

Kapoor, Wishwa N. ^{[1
]}

Martich, G. Daniel ^{[1
]}

Reddy, Vivek K. ^{[1
]}

Clark, Sunday ^{[2
]}

机构：

[1] Univ Pittsburgh, Pittsburgh, PA USA

[2] Weill Cornell Med Coll, New York, NY USA

来源：

AMERICAN JOURNAL OF MEDICAL QUALITY | 2016年 / 31卷 / 04期

基金：

美国医疗保健研究与质量局;

关键词：

medication error; medication reconciliation; hospital discharge; communication tools; ADVERSE DRUG EVENTS; PRIMARY-CARE PHYSICIANS; INFORMATION-TRANSFER; RANDOMIZED-TRIAL; ELDERLY-PATIENTS; PATIENT SAFETY; INPATIENT; PRINCIPLES; ATTITUDES; QUALITY;

D O I：

10.1177/1062860615574327

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：

This study sought to determine the effects of automated primary care physician (PCP) communication and patient safety tools, including computerized discharge medication reconciliation, on discharge medication errors and posthospitalization patient outcomes, using a pre-post quasi-experimental study design, in hospitalized medical patients with 2 comorbidities and 5 chronic medications, at a single center. The primary outcome was discharge medication errors, compared before and after rollout of these tools. Secondary outcomes were 30-day rehospitalization, emergency department visit, and PCP follow-up visit rates. This study found that discharge medication errors were lower post intervention (odds ratio = 0.57; 95% confidence interval = 0.44-0.74; P < .001). Clinically important errors, with the potential for serious or life-threatening harm, and 30-day patient outcomes were not significantly different between study periods. Thus, automated health system-based communication and patient safety tools, including computerized discharge medication reconciliation, decreased hospital discharge medication errors in medically complex patients.

引用

页码：315 / 322

页数：8

共 35 条

[1] Physician attitudes toward and prevalence of the hospitalist model of care: Results of a national survey [J].