Literature DB >> 26513023

A Smartphone-based Decision Support Tool Improves Test Performance Concerning Application of the Guidelines for Managing Regional Anesthesia in the Patient Receiving Antithrombotic or Thrombolytic Therapy.

Matthew D McEvoy1, William R Hand, Marjorie P Stiegler, Amy N DiLorenzo, Jesse M Ehrenfeld, Kenneth R Moran, Robert Lekowski, Mark E Nunnally, Erin L Manning, Yaping Shi, Matthew S Shotwell, Rajnish K Gupta, John M Corey, Randall M Schell.   

Abstract

BACKGROUND: The American Society of Regional Anesthesia and Pain Medicine (ASRA) consensus statement on regional anesthesia in the patient receiving antithrombotic or thrombolytic therapy is the standard for evaluation and management of these patients. The authors hypothesized that an electronic decision support tool (eDST) would improve test performance compared with native physician behavior concerning the application of this guideline.
METHODS: Anesthesiology trainees and faculty at 8 institutions participated in a prospective, randomized trial in which they completed a 20-question test involving clinical scenarios related to the ASRA guidelines. The eDST group completed the test using an iOS app programmed to contain decision logic and content of the ASRA guidelines. The control group completed the test by using any resource in addition to the app. A generalized linear mixed-effects model was used to examine the effect of the intervention.
RESULTS: After obtaining institutional review board's approval and informed consent, 259 participants were enrolled and randomized (eDST = 122; control = 137). The mean score was 92.4 ± 6.6% in the eDST group and 68.0 ± 15.8% in the control group (P < 0.001). eDST use increased the odds of selecting correct answers (7.8; 95% CI, 5.7 to 10.7). Most control group participants (63%) used some cognitive aid during the test, and they scored higher than those who tested from memory alone (76 ± 15% vs. 57 ± 18%, P < 0.001). There was no difference in time to completion of the test (P = 0.15) and no effect of training level (P = 0.56).
CONCLUSIONS: eDST use improved application of the ASRA guidelines compared with the native clinician behavior in a testing environment.

Entities:  

Mesh:

Year:  2016        PMID: 26513023     DOI: 10.1097/ALN.0000000000000885

Source DB:  PubMed          Journal:  Anesthesiology        ISSN: 0003-3022            Impact factor:   7.892


  8 in total

1.  A Novel Open-Source Novel App Improves Anesthesia Operating Room Equipment Supply.

Authors:  Clyde T Matava; Joyce Magbitang; Sunny Choi; Sabrina Bhatia; Michael Tan
Journal:  J Med Syst       Date:  2018-08-01       Impact factor: 4.460

2.  Estimating the impact of deploying an electronic clinical decision support tool as part of a national practice improvement project.

Authors:  Ellen K Kerns; Vincent S Staggs; Sarah D Fouquet; Russell J McCulloh
Journal:  J Am Med Inform Assoc       Date:  2019-07-01       Impact factor: 4.497

3.  Impact of Mobile Device-Based Clinical Decision Support Tool on Guideline Adherence and Mental Workload.

Authors:  Katherine M Richardson; Sarah D Fouquet; Ellen Kerns; Russell J McCulloh
Journal:  Acad Pediatr       Date:  2019-03-07       Impact factor: 3.107

4.  Smartphone applications for chronic pain management: a critical appraisal.

Authors:  John C Alexander; Girish P Joshi
Journal:  J Pain Res       Date:  2016-09-26       Impact factor: 3.133

5.  Implementation of a Smartphone application in medical education: a randomised trial (iSTART).

Authors:  Felipe Martínez; Catalina Tobar; Carla Taramasco
Journal:  BMC Med Educ       Date:  2017-09-18       Impact factor: 2.463

Review 6.  Smartphone Apps for Managing Antithrombotic Therapy: Scoping Literature Review.

Authors:  Friederike Praus; Bartosz Krzowski; Tabea Walther; Christian Gratzke; Paweł Balsam; Arkadiusz Miernik; Philippe Fabian Pohlmann
Journal:  JMIR Cardio       Date:  2022-06-21

7.  Development and Use of a Cardiac Clinical Guideline Mobile App in Australia: Acceptability and Multi-Methods Study.

Authors:  Stacey Matthews; Brooke Atkins; Natalie Walton; Julie-Anne Mitchell; Garry Jennings; Amanda K Buttery
Journal:  JMIR Form Res       Date:  2022-08-05

8.  Effects of Arteriovenous Thrombolysis Combined with Mechanical Thrombectomy on Efficacy and Neurological Function of Acute Cerebral Infarct Patients.

Authors:  Tao Ding; Liwen Tang; Bohong Hu; Junxin Yuan; Xiangdong Li; Jun Wen
Journal:  Biomed Res Int       Date:  2020-10-09       Impact factor: 3.411

  8 in total

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