Effectiveness of Automated Notification and Customer Service Call Centers for Timely and Accurate Reporting of Critical Values: A Laboratory Medicine Best Practices Systematic Review and Meta-Analysis

Details

• Alternative Title:
  Clin Biochem
• Personal Author:
  Liebow, Edward B. ; Derzon, James H. ; Fontanesi, John ; Favoretto, Alessandra M. ; Baetz, Rich Ann ; Shaw, Colleen ; Thompson, Pamela ; Mass, Diana ; Christenson, Robert ; Epner, Paul ; Snyder, Susan R.
• Description:
  Objective
  
  To conduct a systematic review of automatic notification methods and consider evidence-based recommendations for best practices in improving the timeliness and accuracy of critical value reporting.
  
  Results
  
  196 bibliographic records were identified, with nine meeting review inclusion criteria. Four studies examined automated notification systems and five assessed call center performance. Average improvement from implementing automated notification systems is d = 0.42 (95% CI = 0.2 – 0.62) while the average odds ratio for call centers is OR = 22.1 (95% CI = 17.1 – 28.6).
  
  Conclusions
  
  The evidence, though suggestive, is not sufficient to make a recommendation for or against using automated notification systems as a best practice to improve the timeliness and accuracy of critical value reporting in an in-patient care setting. Call centers, however, are effective in improving the timeliness and accuracy of critical value reporting in an in-patient care setting, and are recommended as an “evidence-based best practice.”
  
  
• Keywords:
  Centers For Disease Control And Prevention, U.S. Clinical Laboratory Information Systems Critical Care Methods Databases, Factual Evidence-Based Practice Hospital Laboratory Organization And Administration Humans Information Systems Laboratories Medical Laboratory Personnel Organization And Administration Odds Ratio Practice Guidelines As Topic Program Evaluation Quality Assurance, Health Care Time Factors United States

  More +
• Source:
  Clin Biochem. 45(0):979-987
• Pubmed ID:
  22750773
• Pubmed Central ID:
  PMC4518392
• Document Type:
  Journal Article
• Funding:
  CC999999/ImCDC/Intramural CDC HHSUnited States/
• Volume:
  45
• Collection(s):
  CDC Public Access
• Main Document Checksum:
  urn:sha256:cd72e88e311a2e2482e12fc3408b23b6d64f87cc15c0e93222afc12abe16e153
• Download URL:
  https://stacks.cdc.gov/view/cdc/33831/cdc_33831_DS1.pdf
• File Type:
  [PDF - 1.00 MB ]