scholarly journals Correction to: Improving infant sleep safety via electronic health record communication: a randomized controlled trial

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Ethan A. Canty ◽  
Benjamin N. Fogel ◽  
Erich K. Batra ◽  
Eric W. Schaefer ◽  
Jessica S. Beiler ◽  
...  
Keyword(s):  
Randomized Controlled Trial ◽  
Electronic Health Record ◽  
Controlled Trial ◽  
Health Record ◽  
Infant Sleep ◽  
Randomized Controlled ◽  
Electronic Health ◽  
Sleep Safety

An amendment to this paper has been published and can be accessed via the original article.

scholarly journals Improving infant sleep safety via electronic health record communication: a randomized controlled trial

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Ethan A. Canty ◽  
Benjamin N. Fogel ◽  
Erich K. Batra ◽  
Eric W. Schaefer ◽  
Jessica S. Beiler ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Controlled Trial ◽  
Intervention Group ◽  
Health Record ◽  
Patient Portal ◽  
Infant Sleep ◽  
Patient Portals ◽  
Safe Sleep ◽  
Electronic Health ◽  
Sleep Safety

Abstract Background With increased use of telehealth, interventions to improve infant sleep environments have not been explored. This study sought to assess the feasibility and efficacy of using electronic health record patient portals to transmit photographs of infant sleep between mothers and healthcare professionals as part of an intervention to promote sleep environments consistent with AAP guidelines. Methods One hundred eighty-four mother-newborn dyads consented to participate in a randomized trial requiring patient portal registration within 1 month of delivery. We first assessed feasibility as measured by a) the proportion of consented mothers enrolling in the portal and b) maternal adherence to prompts to submit photographs of their infant sleeping to the research team through the patient portal. Intervention group mothers were prompted at 1 and 2 months; controls were prompted only at 2 months. Efficacy was determined via research assistant review of submitted photographs. These assistants were trained to detect sudden unexplained infant death risk factors utilizing AAP guidelines. Standardized feedback was returned to mothers through the patient portal. We used Fisher’s Exact test to assess group differences in guideline adherence at 2 months. Results One hundred nine mothers (59%) enrolled in the patient portal and were randomized to intervention (N = 55) and control (N = 54) groups. 21 (38, 95% CI 25–52%) intervention group participants sent photographs at 1 month and received personalized feedback. Across both groups at 2 months, 40 (37, 95% CI 28–46%) sent photographs; 56% of intervention group participants who submitted photographs met all safe sleep criteria compared with 46% of controls (difference 0.10, 95% CI − 0.26 to 0.46, p = .75). Common reasons for guideline non-adherence were sleeping in a room without a caregiver (43%), loose bedding (15%) and objects (8%) on the sleep surface. Conclusions Utilizing the patient portal to individualize safe infant sleep is possible, however, we encountered numerous barriers in this trial to assess its effects on promoting safe infant sleep. Photographs of infants sleeping showed substantial non-adherence to AAP guidelines, suggesting further needs for improvement to promote safe infant sleep practices. Trial registration Name: Improving Infant Sleep Safety With the Electronic Health Record; Clinicaltrials.gov: NCT03662048; Date of Registration: September 7, 2018; Data Sharing Statement: None

scholarly journals Electronic Trigger-Based Intervention to Reduce Delays in Diagnostic Evaluation for Cancer: A Cluster Randomized Controlled Trial

2015 ◽  
Vol 33 (31) ◽  
pp. 3560-3567 ◽  
Author(s):  
Daniel R. Murphy ◽  
Louis Wu ◽  
Eric J. Thomas ◽  
Samuel N. Forjuoh ◽  
Ashley N.D. Meyer ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Randomized Controlled Trial ◽  
Electronic Health Record ◽  
Controlled Trial ◽  
Cluster Randomized Controlled Trial ◽  
Diagnostic Evaluation ◽  
Health Record ◽  
Randomized Controlled ◽  
Cluster Randomized

Purpose 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). Conclusion 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.

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