title: Electronic Trigger-Based Intervention to Reduce Delays in Diagnostic Evaluation for Cancer: A Cluster Randomized Controlled Trial.
abstract: OBJECTIVE
  We tested whether prospective use of electronic health record-based trigger algorithms to identify patients at risk of diagnostic delays could prevent delays in diagnostic evaluation for cancer.
  
  
  METHODS
  We performed a cluster randomized controlled trial of primary care providers (PCPs) at two sites to test whether triggers that prospectively identify patients with potential delays in diagnostic evaluation for lung, colorectal, or prostate cancer can reduce time to follow-up diagnostic evaluation. Intervention steps included queries of the electronic health record repository for patients with abnormal findings and lack of associated follow-up actions, manual review of triggered records, and communication of this information to PCPs via secure e-mail and, if needed, phone calls to ensure message receipt. We compared times to diagnostic evaluation and proportions of patients followed up between intervention and control cohorts based on final review at 7 months.
  
  
  RESULTS
  We recruited 72 PCPs (36 in the intervention group and 36 in the control group) and applied the trigger to all patients under their care from April 20, 2011, to July 19, 2012. Of 10,673 patients with abnormal findings, the trigger flagged 1,256 patients (11.8%) as high risk for delayed diagnostic evaluation. Times to diagnostic evaluation were significantly lower in intervention patients compared with control patients flagged by the colorectal trigger (median, 104 v 200 days, respectively; n = 557; P < .001) and prostate trigger (40% received evaluation at 144 v 192 days, respectively; n = 157; P < .001) but not the lung trigger (median, 65 v 93 days, respectively; n = 19; P = .59). More intervention patients than control patients received diagnostic evaluation by final review (73.4% v 52.2%, respectively; relative risk, 1.41; 95% CI, 1.25 to 1.58).
  
  
  CONCLUSIONS
  Electronic trigger-based interventions seem to be effective in reducing time to diagnostic evaluation of colorectal and prostate cancer as well as improving the proportion of patients who receive follow-up. Similar interventions could improve timeliness of diagnosis of other serious conditions.
authors: Daniel R. Murphy, Louis Wu, Ashley N.D. Meyer, and Hardeep Singh, Houston Veterans Affairs Health Services Research and Development, Michael E. DeBakey Veterans Affairs Medical Center, and Section of Health Services Research, Baylor College of Medicine; Eric J. Thomas, University of Texas Houston Medical School and University of Texas Houston-Memorial Hermann Center for Healthcare Quality and Safety, Houston; and Samuel N. Forjuoh, Scott and White Healthcare, Texas A&M Health Science Center, College of Medicine, Temple, TX.
authors: Daniel R
authors: DR
authors: Murphy
authors: Daniel R. Murphy, Louis Wu, Ashley N.D. Meyer, and Hardeep Singh, Houston Veterans Affairs Health Services Research and Development, Michael E. DeBakey Veterans Affairs Medical Center, and Section of Health Services Research, Baylor College of Medicine; Eric J. Thomas, University of Texas Houston Medical School and University of Texas Houston-Memorial Hermann Center for Healthcare Quality and Safety, Houston; and Samuel N. Forjuoh, Scott and White Healthcare, Texas A&M Health Science Center, College of Medicine, Temple, TX.
authors: Louis
authors: L
authors: Wu
authors: Daniel R. Murphy, Louis Wu, Ashley N.D. Meyer, and Hardeep Singh, Houston Veterans Affairs Health Services Research and Development, Michael E. DeBakey Veterans Affairs Medical Center, and Section of Health Services Research, Baylor College of Medicine; Eric J. Thomas, University of Texas Houston Medical School and University of Texas Houston-Memorial Hermann Center for Healthcare Quality and Safety, Houston; and Samuel N. Forjuoh, Scott and White Healthcare, Texas A&M Health Science Center, College of Medicine, Temple, TX.
authors: Eric J
authors: EJ
authors: Thomas
authors: Daniel R. Murphy, Louis Wu, Ashley N.D. Meyer, and Hardeep Singh, Houston Veterans Affairs Health Services Research and Development, Michael E. DeBakey Veterans Affairs Medical Center, and Section of Health Services Research, Baylor College of Medicine; Eric J. Thomas, University of Texas Houston Medical School and University of Texas Houston-Memorial Hermann Center for Healthcare Quality and Safety, Houston; and Samuel N. Forjuoh, Scott and White Healthcare, Texas A&M Health Science Center, College of Medicine, Temple, TX.
authors: Samuel N
authors: SN
authors: Forjuoh
authors: Daniel R. Murphy, Louis Wu, Ashley N.D. Meyer, and Hardeep Singh, Houston Veterans Affairs Health Services Research and Development, Michael E. DeBakey Veterans Affairs Medical Center, and Section of Health Services Research, Baylor College of Medicine; Eric J. Thomas, University of Texas Houston Medical School and University of Texas Houston-Memorial Hermann Center for Healthcare Quality and Safety, Houston; and Samuel N. Forjuoh, Scott and White Healthcare, Texas A&M Health Science Center, College of Medicine, Temple, TX.
authors: Ashley N D
authors: AN
authors: Meyer
authors: Daniel R. Murphy, Louis Wu, Ashley N.D. Meyer, and Hardeep Singh, Houston Veterans Affairs Health Services Research and Development, Michael E. DeBakey Veterans Affairs Medical Center, and Section of Health Services Research, Baylor College of Medicine; Eric J. Thomas, University of Texas Houston Medical School and University of Texas Houston-Memorial Hermann Center for Healthcare Quality and Safety, Houston; and Samuel N. Forjuoh, Scott and White Healthcare, Texas A&M Health Science Center, College of Medicine, Temple, TX. hardeeps@bcm.edu.
authors: Hardeep
authors: H
authors: Singh
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D015179:Colorectal Neoplasms / Q000175:diagnosis*; D003142:Communication; D057210:Delayed Diagnosis / Q000517:prevention & control*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D057286:Electronic Health Records; D005260:Female; D006787:Hospitals, Veterans; D006801:Humans; D008175:Lung Neoplasms / Q000175:diagnosis*; D008297:Male; D008875:Middle Aged; D011320:Primary Health Care; D017149:Private Sector; D011446:Prospective Studies; D011471:Prostatic Neoplasms / Q000175:diagnosis*; D018401:Sample Size; D013997:Time Factors; D061665:Time-to-Treatment; D016896:Treatment Outcome