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Transforming Atrial Fibrillation Research to Integrate Social Determinants of HealthA National Heart, Lung, and Blood Institute Workshop Report

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Abstract

Importance  Only modest attention has been paid to the contributions of social determinants of health to atrial fibrillation (AF) risk factors, diagnosis, symptoms, management, and outcomes. The diagnosis of AF provides unique challenges exacerbated by the arrhythmia’s often paroxysmal nature and individuals’ disparate access to health care and technologies that facilitate detection. Social determinants of health affect access to care and management decisions for AF, increasing the likelihood of adverse outcomes among individuals who experience systemic disadvantages. Developing effective approaches to address modifiable social determinants of health requires research to eliminate the substantive inequities in health care delivery and outcomes in AF.

Observations  The National Heart, Lung, and Blood Institute convened an expert panel to identify major knowledge gaps and research opportunities in the field of social determinants of AF. The workshop addressed the following social determinants: (1) socioeconomic status and access to care; (2) health literacy; (3) race, ethnicity, and racism; (4) sex and gender; (5) shared decision-making in systemically disadvantaged populations; and (6) place, including rurality, neighborhood, and community. Many individuals with AF have multiple adverse social determinants, which may cluster in the individual and in systemically disadvantaged places (eg, rural locations, urban neighborhoods). Cumulative disadvantages may accumulate over the life course and contribute to inequities in the diagnosis, management, and outcomes in AF.

Conclusions and Relevance  Workshop participants identified multiple critical research questions and approaches to catalyze social determinants of health research that address the distinctive aspects of AF. The long-term aspiration of this work is to eradicate the substantive inequities in AF diagnosis, management, and outcomes across populations.

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Article Information

Accepted for Publication: September 26, 2022.

Published Online: December 7, 2022. doi:10.1001/jamacardio.2022.4091

Corresponding Author: Emelia J. Benjamin, MD, ScM, Cardiovascular Medicine, Department of Medicine, Boston University Chobanian and Avedisian School of Medicine, Collamore 8, 72 E Concord St, Boston, MA 02118 (emelia@bu.edu).

Author Contributions: Drs Benjamin and Thomas had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Study concept and design: Benjamin, Thomas, Go, Desvigne-Nickens, Alonso, Chamberlain, Essien, Levy, Magnani, Matlock, O’Brien, Cooper, Al-Khatib.

Acquisition, analysis, or interpretation of data: Benjamin, Thomas, Go, Albert, Hernandez, Hills, Kershaw, Rodriguez, Russo, Soliman, Al-Khatib.

Drafting of the manuscript: Benjamin, Thomas, Albert, Alonso, Essien, Kershaw, Magnani, Matlock, Rodriguez, Russo, Soliman.

Critical revision of the manuscript for important intellectual content: Benjamin, Go, Desvigne-Nickens, Albert, Alonso, Chamberlain, Essien, Hernandez, Hills, Kershaw, Levy, Magnani, Matlock, O’Brien, Rodriguez, Russo, Soliman, Cooper, Al-Khatib.

Administrative, technical, or material support: Benjamin, Thomas, Go, Desvigne-Nickens, Magnani, Cooper.

Study supervision: Benjamin, Thomas, Cooper.

Conflict of Interest Disclosures: Dr Benjamin reported research funding from the National Heart, Lung, and Blood Institute, the National Institute of Aging, and the American Heart Association. Dr Thomas is an advisor to Johnson & Johnson and Biosense Webster; is a consultant for Pfizer and Bristol Myers Squibb; and is a steering committee member for the REACT-AF trial. Dr Go is a member of the operations committee and steering committee for the Study to Determine if Identification of Undiagnosed Atrial Fibrillation in People at Least 70 Years of Age Reduces the Risk of Stroke, sponsored by Bristol Meyers Squibb and Pfizer; has received research funding through his institution from Bristol Meyers Squibb, iRhythm Technologies, and Janssen; and reports grants from the National Heart, Lung and Blood Institute and iRhythm Technologies through his institution during the conduct of the study. Dr Albert is a member of the data safety and monitoring board for the Apple Watch Study and is on the steering committee for the CHANGE AF study. Dr Alonso reported grants from the National Institutes of Health during the conduct of the study. Dr Chamberlain reported grants from the National Institute on Aging and from Patient Centered Outcomes Research Institute paid to her institution during the conduct of the study. Dr Essien reported grants from Department of Veterans Affairs outside the submitted work. Dr Hernandez reports serving as a consultant to Pfizer and Bristol Myers Squibb. Dr Levy is immediate past chair of the accreditation oversight committee and current member of the National Cardiovascular Data Registry oversight committee at the American College of Cardiology and president of the Southeast Michigan American Heart Association. Dr Magnani reported grants from the National Heart, Lung, and Blood Institute outside the submitted work. Dr O’Brien reports research grants to her institution from Pfizer, Bristol Myers Squibb, and Novartis. Dr Rodriguez has received honoraria from Merck, grant support from the American Heart Association and the National Institutes of Health, and research support from Amgen and has served on an advisory board for Amgen. Dr Russo has served as a consultant for Abbott, Atricure, Biosense Webster, Medtronic, and PaceMate; served on research steering committees for Bayer, Boston Scientific, and Medtronic; received grants for research from Boston Scientific, Bristol Meyers Squibb–Pfizer, Kestra, Medilynx, and Medtronic; and received honoraria from Biotronik, Bristol Meyers Squibb–Pfizer, Medtronic, Sanofi, and the American Board of Internal Medicine outside the submitted work. Dr Al-Khatib has received research funding from Medtronic, Boston Scientific, and Abbott outside the submitted work. No other disclosures were reported.

Funding/Support: Dr Benjamin receives research funding from National Heart, Lung, and Blood Institute grants R01HL128914, 2R01HL092577, and R01HL141434 01A1; National Institute of Aging grant R01AG066010; and American Heart Association grant 18SFRN34110082. Dr Thomas reports funding from Patient Centered Outcomes Research Institute grant 1503-29746 and US National Institutes of Health grants 5UL1-TR001117-03, 1R01-MD013493-01, 1R01-MD011606-03, 5U54MD012530-03, and 5R25HL135304-05. Dr Go receives research funding from National Heart, Lung, and Blood Institute grant R01HL142834 and National Institute of Diabetes and Digestive and Kidney Diseases grant R01DK103612. Dr Albert receives research funding from National Heart, Lung, and Blood Institute grant R01HL116690. Dr Essien receives research funding from Veterans Health Administration grant IK2HX003176. Dr Hernandez receives research funding from National Heart, Lung, and Blood Institute grants R01HL157051 and K01HL142847. Dr Kershaw receives research funding from National Institute of Aging grants 5R01AG67557, 5R01AG062180, and 1R21AG069435 and American Heart Association grant 22HERNPMI985236. Dr Levy receives research funding from National Heart, Lung, and Blood Institute grants R01 HL153607, R01 HL163377, R01 HL146059, R01 HL127215, and T32 HL120822; National Institute of Minority Health and Health Disparities grant P50 MD017351; and the American Heart Association Health Equity Research Network. Dr Magnani receives research funding from National Heart, Lung, and Blood Institute grants R01HL143010, R33HL144669, and K24HL160527. Dr Rodriguez receives funding from the National Heart, Lung, and Blood Institute and the American Heart Association. Dr Alonso receives funding from National Heart, Lung, and Blood Institute grants K24HL148521 and R01HL137338 and American Heart Association grant 16EIA26410001. Dr Kershaw receives research funding from National Institute on Aging grants R01AG067557, R01AG062180, and R21AG069435. Dr Chamberlain receives funding from National Institute on Aging grants R21AG62580 and R21AG64804 and Patient Centered Outcomes Research Institute grant RI-CRN-2020-009.

Role of the Funder/Sponsor: The funders reviewed the manuscript to confirm policy compliance but had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation or approval of the manuscript; and decision to submit the manuscript for publication.

Disclaimer: The views expressed in this article are those of the authors and do not necessarily represent the views of the National Heart, Lung, and Blood Institute; the National Institutes of Health; or the US Department of Health and Human Services.

References
1.
Havranek  EP , Mujahid  MS , Barr  DA ,  et al; American Heart Association Council on Quality of Care and Outcomes Research, Council on Epidemiology and Prevention, Council on Cardiovascular and Stroke Nursing, Council on Lifestyle and Cardiometabolic Health, and Stroke Council.  Social determinants of risk and outcomes for cardiovascular disease: a scientific statement from the American Heart Association.   Circulation. 2015;132(9):873-898. doi:10.1161/CIR.0000000000000228PubMedGoogle ScholarCrossref
2.
Tsao  CW , Aday  AW , Almarzooq  ZI ,  et al.  Heart Disease and Stroke Statistics—2022 update: a report from the American Heart Association.   Circulation. 2022;145(8):e153-e639. doi:10.1161/CIR.0000000000001052PubMedGoogle ScholarCrossref
3.
Benjamin  EJ , Chen  PS , Bild  DE ,  et al.  Prevention of atrial fibrillation: report from a National Heart, Lung, and Blood Institute workshop.   Circulation. 2009;119(4):606-618. doi:10.1161/CIRCULATIONAHA.108.825380PubMedGoogle ScholarCrossref
4.
Al-Khatib  SM , Benjamin  EJ , Albert  CM ,  et al.  Advancing research on the complex interrelations between atrial fibrillation and heart failure: a report from a US National Heart, Lung, and Blood Institute virtual workshop.   Circulation. 2020;141(23):1915-1926. doi:10.1161/CIRCULATIONAHA.119.045204PubMedGoogle ScholarCrossref
5.
Al-Khatib  SM , Benjamin  EJ , Buxton  AE ,  et al; Workshop Collaborators.  Research needs and priorities for catheter ablation of atrial fibrillation: a report from a National Heart, Lung, and Blood Institute virtual workshop.   Circulation. 2020;141(6):482-492. doi:10.1161/CIRCULATIONAHA.119.042706PubMedGoogle ScholarCrossref
6.
Benjamin  EJ , Go  AS , Desvigne-Nickens  P ,  et al.  Research priorities in atrial fibrillation screening: a report from a National Heart, Lung, and Blood Institute virtual workshop.   Circulation. 2021;143(4):372-388. doi:10.1161/CIRCULATIONAHA.120.047633PubMedGoogle ScholarCrossref
7.
Benjamin  EJ , Al-Khatib  SM , Desvigne-Nickens  P ,  et al.  Research priorities in the secondary prevention of atrial fibrillation: a National Heart, Lung, and Blood Institute virtual workshop report.   J Am Heart Assoc. 2021;10(16):e021566. doi:10.1161/JAHA.121.021566PubMedGoogle ScholarCrossref
8.
Mou  L , Norby  FL , Chen  LY ,  et al.  Lifetime risk of atrial fibrillation by race and socioeconomic status: ARIC study (Atherosclerosis Risk in Communities).   Circ Arrhythm Electrophysiol. 2018;11(7):e006350. doi:10.1161/CIRCEP.118.006350PubMedGoogle ScholarCrossref
9.
Lunde  ED , Nielsen  PB , Riahi  S ,  et al.  Associations between socioeconomic status, atrial fibrillation, and outcomes: a systematic review.   Expert Rev Cardiovasc Ther. 2018;16(11):857-873. doi:10.1080/14779072.2018.1533118PubMedGoogle ScholarCrossref
10.
Frewen  J , Finucane  C , Cronin  H ,  et al.  Factors that influence awareness and treatment of atrial fibrillation in older adults.   QJM. 2013;106(5):415-424. doi:10.1093/qjmed/hct060PubMedGoogle ScholarCrossref
11.
Eberly  LA , Garg  L , Yang  L ,  et al.  Racial/ethnic and socioeconomic disparities in management of incident paroxysmal atrial fibrillation.   JAMA Netw Open. 2021;4(2):e210247. doi:10.1001/jamanetworkopen.2021.0247PubMedGoogle ScholarCrossref
12.
Gurusamy  VK , Brobert  G , Vora  P , Friberg  L .  Sociodemographic factors and choice of oral anticoagulant in patients with non-valvular atrial fibrillation in Sweden: a population-based cross-sectional study using data from national registers.   BMC Cardiovasc Disord. 2019;19(1):43. doi:10.1186/s12872-019-1029-zPubMedGoogle ScholarCrossref
13.
Chen  N , Brooks  MM , Hernandez  I .  Latent classes of adherence to oral anticoagulation therapy among patients with a new diagnosis of atrial fibrillation.   JAMA Netw Open. 2020;3(2):e1921357. doi:10.1001/jamanetworkopen.2019.21357PubMedGoogle ScholarCrossref
14.
Magnani  JW , Mujahid  MS , Aronow  HD ,  et al; American Heart Association Council on Epidemiology and Prevention; Council on Cardiovascular Disease in the Young; Council on Cardiovascular and Stroke Nursing; Council on Peripheral Vascular Disease; Council on Quality of Care and Outcomes Research; and Stroke Council.  Health literacy and cardiovascular disease: fundamental relevance to primary and secondary prevention: a scientific statement from the American Heart Association.   Circulation. 2018;138(2):e48-e74. doi:10.1161/CIR.0000000000000579PubMedGoogle ScholarCrossref
15.
Diez Roux  AV , Mair  C .  Neighborhoods and health.   Ann N Y Acad Sci. 2010;1186:125-145. doi:10.1111/j.1749-6632.2009.05333.xPubMedGoogle ScholarCrossref
16.
Harrington  RA , Califf  RM , Balamurugan  A ,  et al.  Call to action: rural health: a presidential advisory from the American Heart Association and American Stroke Association.   Circulation. 2020;141(10):e615-e644. doi:10.1161/CIR.0000000000000753PubMedGoogle ScholarCrossref
17.
Cox  LA , Hwang  S , Haines  J ,  et al.  Using the PhenX toolkit to select standard measurement protocols for your research study.   Curr Protoc. 2021;1(5):e149. doi:10.1002/cpz1.149PubMedGoogle ScholarCrossref
18.
Kutner  M , Greenberg  E , Jin  Y , Paulsen  C . The health literacy of America’s adults: results from the 2003 National Assessment of Adult Literacy. Accessed June 12, 2022. https://nces.ed.gov/pubs2006/2006483.pdf
19.
Schillinger  D .  The intersections between social determinants of health, health literacy, and health disparities.   Stud Health Technol Inform. 2020;269:22-41. doi:10.3233/SHTI200020PubMedGoogle Scholar
20.
O’Conor  R , Moore  A , Wolf  MS .  Health literacy and its impact on health and healthcare outcomes.   Stud Health Technol Inform. 2020;269:3-21. doi:10.3233/SHTI200019PubMedGoogle Scholar
21.
Cabellos-García  AC , Martínez-Sabater  A , Castro-Sánchez  E , Kangasniemi  M , Juárez-Vela  R , Gea-Caballero  V .  Relation between health literacy, self-care and adherence to treatment with oral anticoagulants in adults: a narrative systematic review.   BMC Public Health. 2018;18(1):1157. doi:10.1186/s12889-018-6070-9PubMedGoogle ScholarCrossref
22.
Bader  M , Zheng  L , Rao  D ,  et al.  Towards a more patient-centered clinical trial process: a systematic review of interventions incorporating health literacy best practices.   Contemp Clin Trials. 2022;116:106733. doi:10.1016/j.cct.2022.106733PubMedGoogle ScholarCrossref
23.
Magnani  JW , Norby  FL , Agarwal  SK ,  et al.  Racial differences in atrial fibrillation-related cardiovascular disease and mortality: the Atherosclerosis Risk in Communities (ARIC) study.   JAMA Cardiol. 2016;1(4):433-441. doi:10.1001/jamacardio.2016.1025PubMedGoogle ScholarCrossref
24.
Golwala  H , Jackson  LR  II , Simon  DN ,  et al; Outcomes Registry for Better Informed Treatment for Atrial Fibrillation (ORBIT-AF) Registry.  Racial/ethnic differences in atrial fibrillation symptoms, treatment patterns, and outcomes: insights from Outcomes Registry for Better Informed Treatment for Atrial Fibrillation registry.   Am Heart J. 2016;174:29-36. doi:10.1016/j.ahj.2015.10.028PubMedGoogle ScholarCrossref
25.
Essien  UR , Kim  N , Hausmann  LRM ,  et al.  Disparities in anticoagulant therapy initiation for incident atrial fibrillation by race/ethnicity among patients in the Veterans Health Administration system.   JAMA Netw Open. 2021;4(7):e2114234. doi:10.1001/jamanetworkopen.2021.14234PubMedGoogle ScholarCrossref
26.
Tamirisa  KP , Al-Khatib  SM , Mohanty  S ,  et al.  Racial and ethnic differences in the management of atrial fibrillation.   CJC Open. 2021;3(12)(suppl):S137-S148. doi:10.1016/j.cjco.2021.09.004PubMedGoogle ScholarCrossref
27.
Rodriguez  CJ , Soliman  EZ , Alonso  A ,  et al.  Atrial fibrillation incidence and risk factors in relation to race-ethnicity and the population attributable fraction of atrial fibrillation risk factors: the Multi-Ethnic Study of Atherosclerosis.   Ann Epidemiol. 2015;25(2):71-76, 76.e1. doi:10.1016/j.annepidem.2014.11.024PubMedGoogle ScholarCrossref
28.
Churchwell  K , Elkind  MSV , Benjamin  RM ,  et al; American Heart Association.  Call to action: structural racism as a fundamental driver of health disparities: a presidential advisory from the American Heart Association.   Circulation. 2020;142(24):e454-e468. doi:10.1161/CIR.0000000000000936PubMedGoogle ScholarCrossref
29.
Lett  E , Asabor  E , Beltrán  S , Cannon  AM , Arah  OA .  Conceptualizing, contextualizing, and operationalizing race in quantitative health sciences research.   Ann Fam Med. 2022;20(2):157-163. doi:10.1370/afm.2792PubMedGoogle ScholarCrossref
30.
Meschia  JF , Merrill  P , Soliman  EZ ,  et al.  Racial disparities in awareness and treatment of atrial fibrillation: the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study.   Stroke. 2010;41(4):581-587. doi:10.1161/STROKEAHA.109.573907PubMedGoogle ScholarCrossref
31.
Heckbert  SR , Austin  TR , Jensen  PN ,  et al.  Differences by race/ethnicity in the prevalence of clinically detected and monitor-detected atrial fibrillation: MESA.   Circ Arrhythm Electrophysiol. 2020;13(1):e007698. doi:10.1161/CIRCEP.119.007698PubMedGoogle ScholarCrossref
32.
Patel  N , Deshmukh  A , Thakkar  B ,  et al.  Gender, race, and health insurance status in patients undergoing catheter ablation for atrial fibrillation.   Am J Cardiol. 2016;117(7):1117-1126. doi:10.1016/j.amjcard.2016.01.040PubMedGoogle ScholarCrossref
33.
Roselli  C , Chaffin  MD , Weng  LC ,  et al.  Multi-ethnic genome-wide association study for atrial fibrillation.   Nat Genet. 2018;50(9):1225-1233. doi:10.1038/s41588-018-0133-9PubMedGoogle ScholarCrossref
34.
Sarraju  A , Maron  DJ , Rodriguez  F .  Under-reporting and under-representation of racial/ethnic minorities in major atrial fibrillation clinical trials.   JACC Clin Electrophysiol. 2020;6(6):739-741. doi:10.1016/j.jacep.2020.03.001PubMedGoogle ScholarCrossref
35.
Khan  MZ , Munir  MB , Khan  SU ,  et al.  Representation of women, older patients, ethnic, and racial minorities in trials of atrial fibrillation.   Pacing Clin Electrophysiol. 2021;44(3):423-431. doi:10.1111/pace.14178PubMedGoogle ScholarCrossref
36.
Ðoàn  LN , Takata  Y , Sakuma  KK , Irvin  VL .  Trends in clinical research including Asian American, Native Hawaiian, and Pacific Islander participants funded by the US National Institutes of Health, 1992 to 2018.   JAMA Netw Open. 2019;2(7):e197432. doi:10.1001/jamanetworkopen.2019.7432PubMedGoogle ScholarCrossref
37.
Jones  CP .  Toward the science and practice of anti-racism: launching a national campaign against racism.   Ethn Dis. 2018;28(suppl 1):231-234. doi:10.18865/ed.28.S1.231PubMedGoogle ScholarCrossref
38.
Guo  G , Fu  Y , Lee  H , Cai  T , Mullan Harris  K , Li  Y .  Genetic bio-ancestry and social construction of racial classification in social surveys in the contemporary United States.   Demography. 2014;51(1):141-172. doi:10.1007/s13524-013-0242-0PubMedGoogle ScholarCrossref
39.
Feinberg  WM , Blackshear  JL , Laupacis  A , Kronmal  R , Hart  RG .  Prevalence, age distribution, and gender of patients with atrial fibrillation. analysis and implications.   Arch Intern Med. 1995;155(5):469-473. doi:10.1001/archinte.1995.00430050045005PubMedGoogle ScholarCrossref
40.
Piccini  JP , Simon  DN , Steinberg  BA ,  et al; Outcomes Registry for Better Informed Treatment of Atrial Fibrillation (ORBIT-AF) Investigators and Patients.  Differences in clinical and functional outcomes of atrial fibrillation in women and men: two-year results from the ORBIT-AF registry.   JAMA Cardiol. 2016;1(3):282-291. doi:10.1001/jamacardio.2016.0529PubMedGoogle ScholarCrossref
41.
Emdin  CA , Wong  CX , Hsiao  AJ ,  et al.  Atrial fibrillation as risk factor for cardiovascular disease and death in women compared with men: systematic review and meta-analysis of cohort studies.   BMJ. 2016;532:h7013. doi:10.1136/bmj.h7013PubMedGoogle ScholarCrossref
42.
Westcott  SK , Beach  LY , Matsushita  F ,  et al.  Relationship between psychosocial stressors and atrial fibrillation in women >45 years of age.   Am J Cardiol. 2018;122(10):1684-1687. doi:10.1016/j.amjcard.2018.07.044PubMedGoogle ScholarCrossref
43.
Tomita  H , Hagii  J , Metoki  N ,  et al.  Impact of sex difference on severity and functional outcome in patients with cardioembolic stroke.   J Stroke Cerebrovasc Dis. 2015;24(11):2613-2618. doi:10.1016/j.jstrokecerebrovasdis.2015.07.016PubMedGoogle ScholarCrossref
44.
Bhave  PD , Lu  X , Girotra  S , Kamel  H , Vaughan Sarrazin  MS .  Race- and sex-related differences in care for patients newly diagnosed with atrial fibrillation.   Heart Rhythm. 2015;12(7):1406-1412. doi:10.1016/j.hrthm.2015.03.031PubMedGoogle ScholarCrossref
45.
Lip  GY , Laroche  C , Boriani  G ,  et al.  Sex-related differences in presentation, treatment, and outcome of patients with atrial fibrillation in Europe: a report from the Euro Observational Research Programme pilot survey on atrial fibrillation.   Europace. 2015;17(1):24-31. doi:10.1093/europace/euu155PubMedGoogle ScholarCrossref
46.
Lindley  KJ , Aggarwal  NR , Briller  JE ,  et al; American College of Cardiology Cardiovascular Disease in Women Committee and the American College of Cardiology Health Equity Taskforce.  Socioeconomic determinants of health and cardiovascular outcomes in women: JACC Review Topic of the Week.   J Am Coll Cardiol. 2021;78(19):1919-1929. doi:10.1016/j.jacc.2021.09.011PubMedGoogle ScholarCrossref
47.
Wong  JA , Rexrode  KM , Sandhu  RK , Conen  D , Albert  CM .  Number of pregnancies and atrial fibrillation risk: the Women’s Health study.   Circulation. 2017;135(6):622-624. doi:10.1161/CIRCULATIONAHA.116.026629PubMedGoogle ScholarCrossref
48.
Streed  CG  Jr , Beach  LB , Caceres  BA ,  et al; American Heart Association Council on Peripheral Vascular Disease; Council on Arteriosclerosis, Thrombosis and Vascular Biology; Council on Cardiovascular and Stroke Nursing; Council on Cardiovascular Radiology and Intervention; Council on Hypertension; and Stroke Council.  Assessing and addressing cardiovascular health in people who are transgender and gender diverse: a scientific statement from the American Heart Association.   Circulation. 2021;144(6):e136-e148. doi:10.1161/CIR.0000000000001003PubMedGoogle ScholarCrossref
49.
Antwi-Amoabeng  D , Doshi  R , Adalja  D ,  et al.  Burden of arrythmias in transgender patients hospitalized for gender-affirming surgeries.   J Arrhythm. 2020;36(4):797-800. doi:10.1002/joa3.12360PubMedGoogle ScholarCrossref
50.
Russo  AM , Zeitler  EP , Giczewska  A ,  et al; CABANA Investigators.  Association between sex and treatment outcomes of atrial fibrillation ablation versus drug therapy: results from the CABANA trial.   Circulation. 2021;143(7):661-672. doi:10.1161/CIRCULATIONAHA.120.051558PubMedGoogle ScholarCrossref
51.
Mark  DB , Anstrom  KJ , Sheng  S ,  et al; CABANA Investigators.  Effect of catheter ablation vs medical therapy on quality of life among patients with atrial fibrillation: the CABANA randomized clinical trial.   JAMA. 2019;321(13):1275-1285. doi:10.1001/jama.2019.0692PubMedGoogle ScholarCrossref
52.
Chung  MK , Fagerlin  A , Wang  PJ ,  et al.  Shared decision making in cardiac electrophysiology procedures and arrhythmia management.   Circ Arrhythm Electrophysiol. 2021;14(12):e007958. doi:10.1161/CIRCEP.121.007958PubMedGoogle ScholarCrossref
53.
Brand-McCarthy  SR , Delaney  RK , Noseworthy  PA .  Can shared decision making improve stroke prevention in atrial fibrillation?: implications of the updated guidelines.   Circ Cardiovasc Qual Outcomes. 2020;13(3):e006080. doi:10.1161/CIRCOUTCOMES.119.006080PubMedGoogle ScholarCrossref
54.
January  CT , Wann  LS , Alpert  JS ,  et al; ACC/AHA Task Force Members.  2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and the Heart Rhythm Society.   Circulation. 2014;130(23):e199-e267. doi:10.1161/CIR.0000000000000041PubMedGoogle ScholarCrossref
55.
Ali-Ahmed  F , Pieper  K , North  R ,  et al.  Shared decision-making in atrial fibrillation: patient-reported involvement in treatment decisions.   Eur Heart J Qual Care Clin Outcomes. 2020;6(4):263-272. doi:10.1093/ehjqcco/qcaa040PubMedGoogle ScholarCrossref
56.
Torres Roldan  VD , Brand-McCarthy  SR , Ponce  OJ ,  et al.  Shared decision making tools for people facing stroke prevention strategies in atrial fibrillation: a systematic review and environmental scan.   Med Decis Making. 2021;41(5):540-549. doi:10.1177/0272989X211005655PubMedGoogle ScholarCrossref
57.
Stacey  D , Légaré  F , Boland  L ,  et al.  20th Anniversary Ottawa Decision Support Framework: part 3 overview of systematic reviews and updated framework.   Med Decis Making. 2020;40(3):379-398. doi:10.1177/0272989X20911870PubMedGoogle ScholarCrossref
58.
Kunneman  M , Branda  ME , Hargraves  IG ,  et al; Shared Decision Making for Atrial Fibrillation (SDM4AFib) Trial Investigators.  Assessment of shared decision-making for stroke prevention in patients with atrial fibrillation: a randomized clinical trial.   JAMA Intern Med. 2020;180(9):1215-1224. doi:10.1001/jamainternmed.2020.2908PubMedGoogle ScholarCrossref
59.
Alden  DL , Friend  J , Schapira  M , Stiggelbout  A .  Cultural targeting and tailoring of shared decision making technology: a theoretical framework for improving the effectiveness of patient decision aids in culturally diverse groups.   Soc Sci Med. 2014;105:1-8. doi:10.1016/j.socscimed.2014.01.002PubMedGoogle ScholarCrossref
60.
Chen  M , Zhao  J , Zhuo  C , Zheng  L .  The association between ambient air pollution and atrial fibrillation.   Int Heart J. 2021;62(2):290-297. doi:10.1536/ihj.20-523PubMedGoogle ScholarCrossref
61.
Essien  UR , McCabe  ME , Kershaw  KN ,  et al.  Association between neighborhood-level poverty and incident atrial fibrillation: a retrospective cohort study.   J Gen Intern Med. 2022;37(6):1436-1443. doi:10.1007/s11606-021-06976-2PubMedGoogle ScholarCrossref
62.
Garg  PK , Jorgensen  N , Diez-Roux  AV ,  et al.  Neighborhood environments and risk of incident atrial fibrillation: the Multi-Ethnic Study of Atherosclerosis.   Eur J Prev Cardiol. 2020;27(19):2116-2118. doi:10.1177/2047487319866020PubMedGoogle ScholarCrossref
63.
Zöller  B , Li  X , Sundquist  J , Sundquist  K .  Neighbourhood deprivation and hospitalization for atrial fibrillation in Sweden.   Europace. 2013;15(8):1119-1127. doi:10.1093/europace/eut019PubMedGoogle ScholarCrossref
64.
Murphy  NF , Simpson  CR , Jhund  PS ,  et al.  A national survey of the prevalence, incidence, primary care burden and treatment of atrial fibrillation in Scotland.   Heart. 2007;93(5):606-612. doi:10.1136/hrt.2006.107573PubMedGoogle ScholarCrossref
65.
Wändell  P , Carlsson  AC , Gasevic  D , Sundquist  J , Sundquist  K .  Neighbourhood socio-economic status and all-cause mortality in adults with atrial fibrillation: a cohort study of patients treated in primary care in Sweden.   Int J Cardiol. 2016;202:776-781. doi:10.1016/j.ijcard.2015.09.027PubMedGoogle ScholarCrossref
66.
Rhinehart  ZJ , Kinnee  E , Essien  UR ,  et al.  Association of fine particulate matter and risk of stroke in patients with atrial fibrillation.   JAMA Netw Open. 2020;3(9):e2011760. doi:10.1001/jamanetworkopen.2020.11760PubMedGoogle ScholarCrossref
67.
O’Neal  WT , Sandesara  PB , Kelli  HM , Venkatesh  S , Soliman  EZ .  Urban-rural differences in mortality for atrial fibrillation hospitalizations in the United States.   Heart Rhythm. 2018;15(2):175-179. doi:10.1016/j.hrthm.2017.10.019PubMedGoogle ScholarCrossref
68.
Carlsson  AC , Wändell  P , Gasevic  D , Sundquist  J , Sundquist  K .  Neighborhood deprivation and warfarin, aspirin and statin prescription: a cohort study of men and women treated for atrial fibrillation in Swedish primary care.   Int J Cardiol. 2015;187:547-552. doi:10.1016/j.ijcard.2015.04.005PubMedGoogle ScholarCrossref
69.
Norby  FL , Lutsey  PL , Shippee  ND ,  et al.  Direct oral anticoagulants and warfarin for atrial fibrillation treatment: rural and urban trends in Medicare beneficiaries.   Am J Cardiovasc Drugs. 2022;22(2):207-217. doi:10.1007/s40256-021-00502-9PubMedGoogle ScholarCrossref
70.
White  K , Haas  JS , Williams  DR .  Elucidating the role of place in health care disparities: the example of racial/ethnic residential segregation.   Health Serv Res. 2012;47(3 Pt 2):1278-1299. doi:10.1111/j.1475-6773.2012.01410.xPubMedGoogle ScholarCrossref
71.
Dupre  ME .  Educational differences in health risks and illness over the life course: a test of cumulative disadvantage theory.   Soc Sci Res. 2008;37(4):1253-1266. doi:10.1016/j.ssresearch.2008.05.007PubMedGoogle ScholarCrossref
72.
Johnson-Lawrence  V , Galea  S , Kaplan  G .  Cumulative socioeconomic disadvantage and cardiovascular disease mortality in the Alameda County Study 1965 to 2000.   Ann Epidemiol. 2015;25(2):65-70. doi:10.1016/j.annepidem.2014.11.018PubMedGoogle ScholarCrossref
73.
Bonaccio  M , Di Castelnuovo  A , Costanzo  S ,  et al.  Life course socioeconomic status and risk of hospitalization for heart failure or atrial fibrillation in the Moli-Sani Study cohort.   Am J Epidemiol. 2021;190(8):1561-1571. doi:10.1093/aje/kwab046PubMedGoogle ScholarCrossref
74.
January  CT , Wann  LS , Calkins  H ,  et al.  2019 AHA/ACC/HRS Focused Update of the 2014 AHA/ACC/HRS Guideline for the Management of Patients With Atrial Fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Rhythm Society in Collaboration With the Society of Thoracic Surgeons.   Circulation. 2019;140(2):e125-e151. doi:10.1161/CIR.0000000000000665PubMedGoogle ScholarCrossref
75.
Hindricks  G , Potpara  T , Dagres  N ,  et al; ESC Scientific Document Group.  2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS): the task force for the diagnosis and management of atrial fibrillation of the European Society of Cardiology (ESC) developed with the special contribution of the European Heart Rhythm Association (EHRA) of the ESC.   Eur Heart J. 2021;42(5):373-498. doi:10.1093/eurheartj/ehaa612PubMedGoogle ScholarCrossref
AMA CME Accreditation Information

Credit Designation Statement: The American Medical Association designates this Journal-based CME activity activity for a maximum of 1.00  AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Successful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn up to:

  • 1.00 Medical Knowledge MOC points in the American Board of Internal Medicine's (ABIM) Maintenance of Certification (MOC) program;;
  • 1.00 Self-Assessment points in the American Board of Otolaryngology – Head and Neck Surgery’s (ABOHNS) Continuing Certification program;
  • 1.00 MOC points in the American Board of Pediatrics’ (ABP) Maintenance of Certification (MOC) program;
  • 1.00 Lifelong Learning points in the American Board of Pathology’s (ABPath) Continuing Certification program; and
  • 1.00 CME points in the American Board of Surgery’s (ABS) Continuing Certification program

It is the CME activity provider's responsibility to submit participant completion information to ACCME for the purpose of granting MOC credit.

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