Literature DB >> 23305860

The atrial fibrillation knowledge scale: development, validation and results.

Jeroen M L Hendriks1, Harry J G M Crijns, Robert G Tieleman, Hubertus J M Vrijhoef.   

Abstract

BACKGROUND: Patients' understanding of the nature and consequences of atrial fibrillation (AF) and appropriate therapy, is essential to optimize AF management. Currently, no valid instrument exists to measure knowledge in AF patients with a combined focus on disease, symptom recognition and therapy. Since there is a need for a specific instrument to detect gaps in the knowledge of AF patients, we developed and assessed the AF knowledge scale.
METHODS: The scale was developed based on a standard questionnaire in AF and existing knowledge scales in heart failure. Content validity was evaluated by a panel of 24 cardiology nurses, and 2 cardiologists. Face validity was assessed by judgment of 8 randomly selected AF patients, and construct validity was determined by performing an exploratory factor analysis with varimax rotation, based on 529 patients who completed the AF knowledge scale after one year follow-up. Internal consistency was calculated by means of Cronbach's α. Finally the scale was tested for sensitivity, in terms of ability to distinguish patients' knowledge levels.
RESULTS: The scale consists of 11 items concerning AF in general, symptom recognition, and treatment. Content-, face- and construct validity appeared to be acceptable. Cronbach's α was .58. The scale was able to differentiate between knowledge levels in patients with newly detected AF and after one year follow up.
CONCLUSION: The instrument is valid and able to distinguish knowledge levels in AF patients. Furthermore, it can be successfully used in an outpatient care setting as an important tool in the tailoring of patient education (Clinicaltrials.gov identifier: NCT00753259).
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Atrial fibrillation; Instrument development; Knowledge; Outpatient care; Patient education

Mesh:

Year:  2013        PMID: 23305860     DOI: 10.1016/j.ijcard.2012.12.047

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  17 in total

1.  Validation of a questionnaire measuring patient knowledge of atrial fibrillation in an Asian cohort.

Authors:  Hubertus Johannes Maria Vrijhoef; Toon Wei Lim; Rebecca Hoe; Wanyun Lin; Mary Ann Cruz Bautista
Journal:  Heart Asia       Date:  2019-04-24

2.  Mind the gap: Deficits in fundamental disease-specific knowledge in atrial fibrillation.

Authors:  Anna R LaRosa; Alexandra M Pusateri; Andrew D Althouse; Abigail S Mathier; Utibe R Essien; Jared W Magnani
Journal:  Int J Cardiol       Date:  2019-06-20       Impact factor: 4.164

3.  Health Literacy and Atrial Fibrillation: Relevance and Future Directions for Patient-centred Care.

Authors:  Konstantinos N Aronis; Brittany Edgar; Wendy Lin; Maria Auxiliadora Parreiras Martins; Michael K Paasche-Orlow; Jared W Magnani
Journal:  Eur Cardiol       Date:  2017

4.  Care and referral patterns in a large, dedicated nurse-led atrial fibrillation outpatient clinic.

Authors:  F R Piersma; J Neefs; W R Berger; N W E van den Berg; R Wesselink; S P J Krul; J R de Groot
Journal:  Neth Heart J       Date:  2021-12-17       Impact factor: 2.854

5.  Identifying postoperative atrial fibrillation in cardiac surgical patients posthospital discharge, using iPhone ECG: a study protocol.

Authors:  Nicole Lowres; S Ben Freedman; Robyn Gallagher; Ann Kirkness; David Marshman; Jessica Orchard; Lis Neubeck
Journal:  BMJ Open       Date:  2015-01-13       Impact factor: 2.692

Review 6.  European Society of Cardiology smartphone and tablet applications for patients with atrial fibrillation and their health care providers.

Authors:  Dipak Kotecha; Winnie W L Chua; Larissa Fabritz; Jeroen Hendriks; Barbara Casadei; Ulrich Schotten; Panos Vardas; Hein Heidbuchel; Veronica Dean; Paulus Kirchhof
Journal:  Europace       Date:  2018-02-01       Impact factor: 5.214

7.  Association between subjective risk perception and objective risk estimation in patients with atrial fibrillation: a cross-sectional study.

Authors:  David Zweiker; Robert Zweiker; Elisabeth Winkler; Konstantina Roesch; Martin Schumacher; Vinzenz Stepan; Peter Krippl; Norbert Bauer; Martin Heine; Gerhard Reicht; Gudrun Zweiker; Martin Sprenger; Norbert Watzinger
Journal:  BMJ Open       Date:  2017-09-25       Impact factor: 2.692

8.  Phenotypes of engagement with mobile health technology for heart rhythm monitoring.

Authors:  Jihui Lee; Meghan Reading Turchioe; Ruth Masterson Creber; Angelo Biviano; Kathleen Hickey; Suzanne Bakken
Journal:  JAMIA Open       Date:  2021-06-12

9.  The Health Buddies App as a Novel Tool to Improve Adherence and Knowledge in Atrial Fibrillation Patients: A Pilot Study.

Authors:  Lien Desteghe; Kiki Kluts; Johan Vijgen; Pieter Koopman; Dagmara Dilling-Boer; Joris Schurmans; Paul Dendale; Hein Heidbuchel
Journal:  JMIR Mhealth Uhealth       Date:  2017-07-19       Impact factor: 4.773

10.  Development and validation of the cancer self-perceived discrimination scale for Chinese cancer patients.

Authors:  Lin-Sen Feng; Xin-Yue Li; Hong-Rong Wang; Jing-Jing Zhan; Dong Chen; Yu-Feng Wang
Journal:  Health Qual Life Outcomes       Date:  2018-08-14       Impact factor: 3.186

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.