Document Type : Original Article
Authors
- . Hadi Kazemi‑Arpanahi
- . Ali Vasheghani‑Farahani 1
- . Abdolvahab Baradaran 1
- . Marjan Ghazisaeedi 2
- . Nilofar Mohammadzadeh 2
- . Hassan Bostan
1 Cardiac Primary Prevention Research Center, Heart Center, Tehran University of Medical Sciences, Tehran, Iran Department of Cardiology, School of Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
2 Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
Abstract
BACKGROUND: At present, there is no established national minimum data set (MDS) for
electrophysiology study (EPS) ablation, which has led to a lack of standardization and variable
assessment criteria in this context.
OBJECTIVE: The objective of this paper was to develop a MDS of EPS ablation as means of
establishing an information management system or clinical registry in this field.
METHODS: In this cross‑sectional and descriptive study, national and international cardiovascular
scientific literature were studied to establish an initial set of data elements. In order to its validity, the
population study composed of 15 cardiac electrophysiologists who asked to review the proposed data
elements and score them in order of importance using a five‑point Likert scale. The items scored as
important or highly important by at least 60% of the experts (average score of 3 and higher) were
included in the final list of MDS.
RESULTS: An MDS of cardiac EPS ablation was created with nine data classes, including
administrative data, past medical history, sign and symptoms, physical examinations, laboratory
tests, presenting status of heart conduction system, catheter ablation, postprocedure complications,
and discharge outcomes. For each category, required variables data and possible respondents were
determined.
CONCLUSIONS: Consensus was reached on a set of core data elements to standardize data
collection for cardiac EPS ablation in order to achieve quality improvement and effectiveness indicators
for the management of care process and health outcomes.
Keywords
arrhythmias: State of the art. Lancet 2012;380:1509‑19.
2. Burstein B, Barbosa RS, Kalfon E, Joza J, Bernier M, Essebag V,
et al. Venous thrombosis after electrophysiology procedures:
A systematic review. Chest 2017;152:574‑86.
3. Desjardins B. Imaging for cardiac electrophysiology. SA J Radiol
2016;20:1‑8.
4. Neuberger HR, Tilz RR, Bonnemeier H, Deneke T, Estner HL,
Kriatselis C, et al. A survey of german centres performing invasive
electrophysiology: Structure, procedures, and training positions.
Europace 2013;15:1741‑6.
5. Keegan R, Aguinaga L, Fenelon G, Uribe W, Rodriguez Diez G,
Scanavacca M, et al. The first latin American catheter ablation
registry. Europace 2015;17:794‑800.
6. Vasheghani‑Farahani A, Shafiee A, Akbarzadeh M, Bahrololoumi‑Bafruee N, Alizadeh‑Diz A, Emkanjoo Z, et al.
Acute complications in cardiac electrophysiology procedures:
A prospective study in a high‑volume tertiary heart center. Res
Cardiovasc Med 2018;7:20‑5.
7. Cox N, Brennan A, Dinh D, Brien R, Cowie K, Stub D, et al.
Implementing sustainable data collection for a cardiac outcomes
registry in an Australian public hospital. Heart Lung Circ
2018;27:464‑8.
8. Ahmadi M, Alipour J, Mohammadi A, Khorami F. Development
a minimum data set of the information management system for
burns. Burns 2015;41:1092‑9.
9. Mohammadi A, Ahmadi M, Gharagozlu A. Developing a
minimum data set for an information management system to study
traffic accidents in Iran. Iran Red Crescent Med J 2016;18:e23677.
10. Humphries MD. Creating a registry for patients with thoracic
outlet syndrome. Diagnostics (Basel) 2017;7. pii: E36.
11. Ghaneie M, Rezaie A, Ghorbani NR, Heidari R, Arjomandi M,
Zare M, et al. Designing a minimum data set for breast cancer:
A starting point for breast cancer registration in Iran. Iran J Public
Health 2013;42:66‑73.
12. Biering‑Sørensen F, Burns AS, Curt A, Harvey LA,
Jane Mulcahey M, Nance PW, et al. International spinal cord
injury musculoskeletal basic data set. Spinal Cord 2012;50:797‑802.
13. Abbasi M, Ahmadian L, Amirian M, Tabesh H, Eslami S. The
development of a minimum data set for an infertility registry.
Perspect Health Inf Manag 2018;15:1b.
14. Weintraub WS, Karlsberg RP, Tcheng JE, Boris JR, Buxton AE,
Dove JT, et al. ACCF/AHA 2011 key data elements and definitions
of a base cardiovascular vocabulary for electronic health records:
A report of the American College of Cardiology Foundation/
American Heart Association Task Force on Clinical Data
Standards. Circulation 2011;124:103‑23.
15. American College of Cardiology/American Heart Association
Task Force on Clinical Data Standards (ACC/AHA/HRS Writing
Committee to Develop Data Standards on Electrophysiology),
Buxton AE, Calkins H, Callans DJ, DiMarco JP, Fisher JD, et al.
ACC/AHA/HRS 2006 key data elements and definitions for
electrophysiological studies and procedures: A report of the
American College of Cardiology/American Heart Association
Task force on Clinical Data Standards (ACC/AHA/HRS Writing
Committee to Develop Data Standards on Electrophysiology).
Circulation 2006;114:2534‑70.
16. Hicks KA, Tcheng JE, Bozkurt B, Chaitman BR, Cutlip DE,
Farb A, et al. 2014 ACC/AHA key data elements and definitions
for cardiovascular endpoint events in clinical trials: A Report of
the american college of cardiology/American Heart Association
Task Force on Clinical Data Standards (Writing Committee to
Develop Cardiovascular Endpoints Data Standards). Circulation
2015;132:302‑61.
17. McNamara RL, Brass LM, Drozda JP Jr., Go AS, Halperin JL,
Kerr CR, et al. ACC/AHA key data elements and definitions for
measuring the clinical management and outcomes of patients
with atrial fibrillation: A report of the American College of
Cardiology/American Heart Association Task Force on Clinical
Data Standards (Writing Commitee to Develop Data Standards
on Atrial Fibrillation). J Am Coll Cardiol 2004;44:475‑95.
18. McNally B, Stokes A, Crouch A, Kellermann AL, CARES
Surveillance Group. CARES: Cardiac arrest registry to enhance
survival. Ann Emerg Med 2009;54:674‑83.e2.
19. Flynn MR, Barrett C, Cosío FG, Gitt AK, Wallentin L,
Kearney P, et al. The Cardiology Audit and Registration Data
Standards (CARDS), European data standards for clinical
cardiology practice. Eur Heart J 2005;26:308‑13.
20. Svensson‑Ranallo PA, Adam TJ, Sainfort F. A framework and
standardized methodology for developing minimum clinical
datasets. AMIA Jt Summits Transl Sci Proc 2011;2011:54‑8.
21. Bauer JM, Sieber CC. Significance and diagnosis of malnutrition
in the elderly. Z Arztl Fortbild Qualitatssich 2007;101:605‑9.
22. Mahmud I, Kelley T, Stowell C, Haripriya A, Boman A, KosslerI,
et al. A proposed minimum standard set of outcome measures for
cataract surgery. JAMA Ophthalmol 2015;133:1247‑52.
23. Davey CJ, Slade SV, Shickle D. A proposed minimum data set for
international primary care optometry: A modified delphi study.
Ophthalmic Physiol Opt 2017;37:428‑39.
24. Hawes C, Morris JN, Phillips CD, Fries BE, Murphy K, Mor V,
et al. Development of the nursing home resident assessment
instrument in the USA. Age Ageing 1997;26 Suppl 2:19‑25.
25. Spisla C. Enhancement of interoperability of disaster‑related data
collection using disaster nursing minimum data set. Stud Health
Technol Inform 2009;146:780‑1.
)