Literature DB >> 28923492

Rationale and design of the Atrial Fibrillation health Literacy Information Technology Trial: (AF-LITT).

Emily N Guhl1, Courtney L Schlusser2, Lori E Henault3, Timothy W Bickmore4, Everlyne Kimani4, Michael K Paasche-Orlow3, Jared W Magnani5.   

Abstract

BACKGROUND: Atrial Fibrillation (AF) is a common cardiac arrhythmia that is challenging for patients and adversely impacts health-related quality of life (HRQoL). Long-term management of AF requires that patients adhere to complex therapies, understand difficult terminology, navigate subspecialty care, and have continued symptom monitoring with the goal of preventing adverse outcomes. Continued interventions to ameliorate the patient experience of AF are essential.
DESIGN: The Atrial Fibrillation health Literacy Information Technology Trial (AF-LITT; NCT03093558) is an investigator-initiated, 2-arm randomized clinical trial (RCT). This RCT is a pilot in order to implement a novel, smartphone-based intervention to address the patient experience of AF. This pilot RCT will compare a combination of the Embodied Conversational Agent (ECA) and the Alive Cor Kardia Mobile heart rhythm monitor to the current standard of care. The study will enroll 180 adults with non-valvular AF who are receiving anticoagulation for stroke prevention and randomize them to receive a 30-day intervention (smartphone-based ECA/Kardia) or standard of care, which will include a symptom and adherence journal. The primary end-points are improvement in HRQoL and self-reported adherence to anticoagulation. The secondary end-points are the acceptability of the intervention to participants, its use by participants, and acceptability to referring physicians.
CONCLUSIONS: The AF-LITT pilot aims to evaluate the efficacy of the ECA/Kardia to improve HRQoL and anticoagulant adherence, and to guide its implementation in a larger, multicenter clinical trial. The intervention has potential to improve HRQoL, adherence, and health care utilization in individuals with chronic AF.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adherence; Atrial fibrillation; Health-related quality of life; Randomized clinical trial; Relational agents

Mesh:

Substances:

Year:  2017        PMID: 28923492      PMCID: PMC5641265          DOI: 10.1016/j.cct.2017.09.005

Source DB:  PubMed          Journal:  Contemp Clin Trials        ISSN: 1551-7144            Impact factor:   2.226


  26 in total

1.  Development of a brief test to measure functional health literacy.

Authors:  D W Baker; M V Williams; R M Parker; J A Gazmararian; J Nurss
Journal:  Patient Educ Couns       Date:  1999-09

2.  The unrecognized psychosocial factors contributing to bleeding risk in warfarin therapy.

Authors:  Basia Diug; Sue Evans; Judy Lowthian; Ellen Maxwell; Michael Dooley; Alison Street; Rory Wolfe; Peter Cameron; John McNeil
Journal:  Stroke       Date:  2011-08-11       Impact factor: 7.914

3.  Educational attainment is associated with atrial fibrillation symptom severity.

Authors:  Neeta M Goli; Tiffany Thompson; Samuel F Sears; J Paul Mounsey; Eugene Chung; Jennifer Schwartz; Kathryn Wood; Jennifer Walker; Kimberly Guise; Anil K Gehi
Journal:  Pacing Clin Electrophysiol       Date:  2012-07-21       Impact factor: 1.976

4.  The association of health literacy with time in therapeutic range for patients on warfarin therapy.

Authors:  Christine U Oramasionwu; Stacy Cooper Bailey; Kristin E Duffey; Betsy Bryant Shilliday; Lori C Brown; Sheri A Denslow; Elizabeth Landrum Michalets
Journal:  J Health Commun       Date:  2014

5.  The PHQ-9: validity of a brief depression severity measure.

Authors:  K Kroenke; R L Spitzer; J B Williams
Journal:  J Gen Intern Med       Date:  2001-09       Impact factor: 5.128

Review 6.  Health-related quality of life in atrial fibrillation patients over 65 years: A review.

Authors:  Ling Zhang; Robyn Gallagher; Lis Neubeck
Journal:  Eur J Prev Cardiol       Date:  2014-06-12       Impact factor: 7.804

7.  Performance of handheld electrocardiogram devices to detect atrial fibrillation in a cardiology and geriatric ward setting.

Authors:  Lien Desteghe; Zina Raymaekers; Mark Lutin; Johan Vijgen; Dagmara Dilling-Boer; Pieter Koopman; Joris Schurmans; Philippe Vanduynhoven; Paul Dendale; Hein Heidbuchel
Journal:  Europace       Date:  2016-02-17       Impact factor: 5.214

8.  Development and evaluation of a self-report tool to predict low pharmacy refill adherence in elderly patients with uncontrolled hypertension.

Authors:  Marie Krousel-Wood; Cara Joyce; Elizabeth W Holt; Emily B Levitan; Adriana Dornelles; Larry S Webber; Paul Muntner
Journal:  Pharmacotherapy       Date:  2013-05-03       Impact factor: 4.705

9.  A single-center randomized, controlled trial investigating the efficacy of a mHealth ECG technology intervention to improve the detection of atrial fibrillation: the iHEART study protocol.

Authors:  Kathleen T Hickey; Nicole R Hauser; Laura E Valente; Teresa C Riga; Ashton P Frulla; Ruth Masterson Creber; William Whang; Hasan Garan; Haomiao Jia; Robert R Sciacca; Daniel Y Wang
Journal:  BMC Cardiovasc Disord       Date:  2016-07-16       Impact factor: 2.298

10.  Diagnostic Performance of a Smartphone-Based Photoplethysmographic Application for Atrial Fibrillation Screening in a Primary Care Setting.

Authors:  Pak-Hei Chan; Chun-Ka Wong; Yukkee C Poh; Louise Pun; Wangie Wan-Chiu Leung; Yu-Fai Wong; Michelle Man-Ying Wong; Ming-Zher Poh; Daniel Wai-Sing Chu; Chung-Wah Siu
Journal:  J Am Heart Assoc       Date:  2016-07-21       Impact factor: 5.501

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  4 in total

1.  Kardia Mobile applicability in clinical practice: A comparison of Kardia Mobile and standard 12-lead electrocardiogram records in 100 consecutive patients of a tertiary cardiovascular care center.

Authors:  Lukasz Koltowski; Pawel Balsam; Renata Glowczynska; Jakub K Rokicki; Michal Peller; Jakub Maksym; Leszek Blicharz; Kacper Maciejewski; Magdalena Niedziela; Grzegorz Opolski; Marcin Grabowski
Journal:  Cardiol J       Date:  2019-01-15       Impact factor: 2.737

2.  Rurality and atrial fibrillation: a pathway to virtual engagement and clinical trial recruitment in response to COVID-19.

Authors:  Jared W Magnani; Danielle Ferry; Gretchen Swabe; Deborah Martin; Xirun Chen; Maria M Brooks; Samar R El Khoudary
Journal:  Am Heart J Plus       Date:  2021-03

3.  Atrial fibrillation symptom clusters and associated clinical characteristics and outcomes: A cross-sectional secondary data analysis.

Authors:  Megan Streur; Sarah J Ratcliffe; David Callans; M Benjamin Shoemaker; Barbara Riegel
Journal:  Eur J Cardiovasc Nurs       Date:  2018-05-22       Impact factor: 3.908

Review 4.  The Current State of Mobile Phone Apps for Monitoring Heart Rate, Heart Rate Variability, and Atrial Fibrillation: Narrative Review.

Authors:  Ka Hou Christien Li; Francesca Anne White; Gary Tse; Timothy Tipoe; Tong Liu; Martin Cs Wong; Aaron Jesuthasan; Adrian Baranchuk; Bryan P Yan
Journal:  JMIR Mhealth Uhealth       Date:  2019-02-15       Impact factor: 4.773

  4 in total

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