Literature DB >> 25829986

An acute stroke evaluation app: a practice improvement project.

Mark N Rubin1, Jennifer E Fugate2, Kevin M Barrett3, Alejandro A Rabinstein2, Kelly D Flemming2.   

Abstract

A point-of-care workflow checklist in the form of an iOS (iPhone Operating System) app for use by stroke providers was introduced with the objective of standardizing acute stroke evaluation and documentation at 2 affiliated academic medical centers. Providers used the app in unselected, consecutive patients undergoing acute stroke evaluation in an emergency department or hospital setting between August 2012 and January 2013 and August 2013 and February 2014. Satisfaction surveys were prospectively collected pre- and postintervention from residents, staff neurologists, and clinical data specialists. Residents (20 preintervention and 16 postintervention), staff neurologists (6 pre and 5 post), and clinical data specialists (4 pre and 4 post) participated in this study. All 16 (100%) residents had increased satisfaction with their ability to perform an acute stroke evaluation postintervention but only 9 (56%) of 16 felt the app was more help than hindrance. Historical controls aligned with preintervention results. Staff neurologists conveyed increased satisfaction with resident presentations and decision making when compared to preintervention surveys. Stroke clinical data specialists estimated a 50% decrease in data abstraction when the app data were used in the clinical note. Concomitant effect on door-to-needle (DTN) time at 1 site, although not a primary study measure, was also evaluated. At that 1 center, the mean DTN time decreased by 16 minutes when compared to the corresponding months from the year prior. The point-of-care acute stroke workflow checklist app may assist trainees in presenting findings in a standardized manner and reduce data abstraction time. The app may help reduce DTN time, but this requires further study.

Entities:  

Keywords:  mhealth; neurohospitalist; quality; stroke; stroke and cerebrovascular disease

Year:  2015        PMID: 25829986      PMCID: PMC4357602          DOI: 10.1177/1941874414564982

Source DB:  PubMed          Journal:  Neurohospitalist        ISSN: 1941-8744


  22 in total

1.  Smartphone app use among medical providers in ACGME training programs.

Authors:  Orrin I Franko; Timothy F Tirrell
Journal:  J Med Syst       Date:  2011-11-04       Impact factor: 4.460

Review 2.  Heart disease and stroke statistics--2013 update: a report from the American Heart Association.

Authors:  Alan S Go; Dariush Mozaffarian; Véronique L Roger; Emelia J Benjamin; Jarett D Berry; William B Borden; Dawn M Bravata; Shifan Dai; Earl S Ford; Caroline S Fox; Sheila Franco; Heather J Fullerton; Cathleen Gillespie; Susan M Hailpern; John A Heit; Virginia J Howard; Mark D Huffman; Brett M Kissela; Steven J Kittner; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; David Magid; Gregory M Marcus; Ariane Marelli; David B Matchar; Darren K McGuire; Emile R Mohler; Claudia S Moy; Michael E Mussolino; Graham Nichol; Nina P Paynter; Pamela J Schreiner; Paul D Sorlie; Joel Stein; Tanya N Turan; Salim S Virani; Nathan D Wong; Daniel Woo; Melanie B Turner
Journal:  Circulation       Date:  2012-12-12       Impact factor: 29.690

3.  The use of smartphone applications by urology trainees.

Authors:  G J Nason; M J Burke; A Aslam; M E Kelly; C M Akram; S K Giri; H D Flood
Journal:  Surgeon       Date:  2014-09-08       Impact factor: 2.392

4.  Logic-centered architecture for ubiquitous health monitoring.

Authors:  Jacek Lewandowski; Hisbel E Arochena; Raouf N G Naguib; Kuo-Ming Chao; Alexeis Garcia-Perez
Journal:  IEEE J Biomed Health Inform       Date:  2014-09       Impact factor: 5.772

Review 5.  The use of telemedicine in the management of acute stroke.

Authors:  Mark N Rubin; Bart M Demaerschalk
Journal:  Neurosurg Focus       Date:  2014-01       Impact factor: 4.047

6.  Reliability of real-time video smartphone for assessing National Institutes of Health Stroke Scale scores in acute stroke patients.

Authors:  Bart M Demaerschalk; Sravanthi Vegunta; Bert B Vargas; Qing Wu; Dwight D Channer; Joseph G Hentz
Journal:  Stroke       Date:  2012-11-15       Impact factor: 7.914

Review 7.  Systematic review of telestroke for post-stroke care and rehabilitation.

Authors:  Mark N Rubin; Kay E Wellik; Dwight D Channer; Bart M Demaerschalk
Journal:  Curr Atheroscler Rep       Date:  2013-08       Impact factor: 5.113

8.  A care pathway to boost influenza vaccination rates among inpatients with acute ischemic stroke and transient ischemic attack.

Authors:  Bruce Ovbiagele; Norma McNair; Sandra Pineda; David S Liebeskind; Latisha K Ali; Jeffrey L Saver
Journal:  J Stroke Cerebrovasc Dis       Date:  2009-01       Impact factor: 2.136

9.  Risk Estimation Modeling and Feasibility Testing for a Mobile eHealth Intervention for Binge Drinking Among Young People: The D-ARIANNA (Digital-Alcohol RIsk Alertness Notifying Network for Adolescents and young adults) Project.

Authors:  Giuseppe Carrà; Cristina Crocamo; Alessandro Schivalocchi; Francesco Bartoli; Daniele Carretta; Giulia Brambilla; Massimo Clerici
Journal:  Subst Abus       Date:  2014-09-09       Impact factor: 3.716

10.  Systematic review of teleneurology: methodology.

Authors:  Mark N Rubin; Kay E Wellik; Dwight D Channer; Bart M Demaerschalk
Journal:  Front Neurol       Date:  2012-11-08       Impact factor: 4.003

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  2 in total

Review 1.  Smartphone App in Stroke Management: A Narrative Updated Review.

Authors:  Adriano Bonura; Francesco Motolese; Fioravante Capone; Gianmarco Iaccarino; Michele Alessiani; Mario Ferrante; Rosalinda Calandrelli; Vincenzo Di Lazzaro; Fabio Pilato
Journal:  J Stroke       Date:  2022-09-30       Impact factor: 8.632

2.  mHealth Application Areas and Technology Combinations*. A Comparison of Literature from High and Low/Middle Income Countries.

Authors:  Haitham Abaza; Michael Marschollek
Journal:  Methods Inf Med       Date:  2017-08-08       Impact factor: 2.176

  2 in total

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