The future is now: a call for action for cardiac telerehabilitation in the COVID-19 pandemic from the secondary prevention and rehabilitation section of the European Association of Preventive Cardiology
Restricted accessReview articleFirst published online 2020
The future is now: a call for action for cardiac telerehabilitation in the COVID-19 pandemic from the secondary prevention and rehabilitation section of the European Association of Preventive Cardiology
The role of comprehensive cardiac rehabilitation is well established in the secondary prevention of cardiovascular diseases such as coronary artery disease and heart failure. Numerous trials have demonstrated both the effectiveness as well as the cost-effectiveness of comprehensive cardiac rehabilitation in improving exercise capacity and quality of life, and in reducing cardiovascular mortality and morbidity. However, the current COVID-19 pandemic has led to closure of many cardiac rehabilitation centres in Europe resulting in many eligible patients unable to participate in the optimisation of secondary prevention and physical performance. This elicits an even louder call for alternatives such as cardiac telerehabilitation to maintain the delivery of the core components of cardiac rehabilitation to cardiovascular disease patients. The present call for action paper gives an update of recent cardiac telerehabilitation studies and provides a practical guide for the setup of a comprehensive cardiac telerehabilitation intervention during the COVID-19 pandemic. This set up could also be relevant to any cardiovascular disease patient not able to visit cardiac rehabilitation centres regularly after the COVID-19 pandemic ceases.
BansilalSCastellanoMFusterV.Global burden of CVD: focus on secondary prevention of cardiovascular disease. Int J Cardiol2015;
201: S1–S7.
2.
SavareseGLundLH.Global public health burden of heart failure. Cardiac Fail Rev2017;
3: 7–11. DOI: 10.15420/cfr.2016:25:2
3.
BriffaTGHobbsMSTonkinA, et al.
Population trends of recurrent coronary heart disease event rates remain high. Circ Cardiovasc Qual Outcomes2011;
4: 107–113. DOI: 10.1161/CIRCOUTCOMES.110.957944
4.
MoitaBMarquesAPCamachoAM, et al.
One-year rehospitalisations for congestive heart failure in Portuguese NHS hospitals: a multilevel approach on patterns of use and contributing factors. BMJ Open2019;
9: e031346. DOI: 10.1136/bmjopen-2019-031346
DendalePScherrenbergMSivakovaO, et al.
Prevention: from the cradle to the grave and beyond. Eur J Prev Cardiol2019;
26: 507–511. https://doi.org/10.1177/2047487318821772
7.
MagnaniJWMujahidMSAronowHD, 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, Stroke Council.
Health literacy and cardiovascular disease: fundamental relevance to primary and secondary prevention: a scientific statement from the American Heart Association. Circulation2018;
138: e48–e74
8.
AmbrosettiMAbreuACorràU, et al.
Secondary prevention through comprehensive cardiovascular rehabilitation: from knowledge to implementation. 2020 Update. A position paper from the Secondary Prevention and Rehabilitation Section of the European Association of Preventive Cardiology. Eur J Prev Cardiol2020. Epub ahead of print 30 March 2020. DOI: 10.1177/2047487320913379.
9.
Piepoli MF, Hoes AW, Agewall S, et al. 2016 European Guidelines on cardiovascular disease prevention in clinical practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of 10 societies and by invited experts)Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR). Eur Heart J 2016; 37: 2315–2381.
10.
Müller-RiemenschneiderFMeinhardCDammK, et al.
Effectiveness of nonpharmacological secondary prevention of coronary heart disease. Eur J Cardiovasc Prev Rehabil2010;
17: 688–700.
11.
Kotseva K, De Backer G, De Bacquer D, et al. Lifestyle and impact on cardiovascular risk factor control in coronary patients across 27 countries: Results from the European Society of Cardiology ESC-EORP EUROASPIRE V registry. Eur J Prev Cardiol 2019; 26: 824–835.
12.
NeubeckLFreedmanBSClarkAM, et al.
Participating in cardiac rehabilitation: a systematic review and meta-synthesis of qualitative data. Eur J Prev Cardiol2012;
19: 494–503. Web.
13.
MooreS, et al.
Women's views of cardiac rehabilitation programs. J Cardiopulm Rehabil1996;
16: 123–129.
14.
Cao B, Wang Y, Wen D, et al. A Trial of Lopinavir-Ritonavir in Adults Hospitalized with Severe Covid-19. N Engl J Med 2020; 382: 1787–1799.
15.
Wu Z and McGoogan JM. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72,314 Cases From the Chinese Center for Disease Control and Prevention. Epub ahead of print 24 February 2020. JAMA. 2020. DOI: 10.1001/jama.2020.2648.
16.
Onder G, Rezza G, Brusaferro S. Case-Fatality Rate and Characteristics of Patients Dying in Relation to COVID-19 in Italy. Epub ahead of print 23 March 2020. JAMA. DOI: 10.1001/jama.2020.4683.
17.
FellJDaleVDohertyP.Does the timing of cardiac rehabilitation impact fitness outcomes? An observational analysis. Open Heart2016;
3: e000369. Published 2016 Feb 8. DOI: 10.1136/openhrt-2015-000369
18.
MarzoliniSBlanchardCAlterDA, et al.
Delays in referral and enrolment are associated with mitigated benefits of cardiac rehabilitation after coronary artery bypass surgery. Circ Cardiovasc Qual Outcomes2015;
8: 608–620. DOI: 10.1161/CIRCOUTCOMES.115.001751.
19.
FrederixIVanheesLDendaleP, et al.
A review of telerehabilitation for cardiac patients. J Telemed Telecare2015;
21: 45–53.
20.
ThomasRJBeattyALBeckieTM, et al.
Home-based cardiac rehabilitation: a scientific statement from the American Association of Cardiovascular and Pulmonary Rehabilitation, the American Heart Association, and the American College of Cardiology. Circulation2019;
140: e69–e89.
21.
AndersonLSharpGANortonRJ, et al. Home-based versus centre-based cardiac rehabilitation.Cochrane Database Syst Rev2017;
6: CD007130. Published 2017 Jun 30. DOI: 10.1002/14651858.CD007130.pub4
22.
FrederixICaianiEGDendaleP, et al.
ESC e-Cardiology Working Group Position Paper: Overcoming challenges in digital health implementation in cardiovascular medicine. Eur J Prev Cardiol2019;
26: 1166–1177. https://doi.org/10.1177/2047487319832394
23.
JanssenVDe GuchtVDusseldorpE, et al.
Lifestyle modification programmes for patients with coronary heart disease: a systematic review and meta-analysis of randomized controlled trials. Eur J Prev Cardiol2013;
20: 620–640.
24.
FrederixIHansenDConinxK, et al.
Medium-term effectiveness of a comprehensive internet-based and patient-specific telerehabilitation program with text messaging support for cardiac patients: randomized controlled trial. J Med Internet Res2015;
17: e185. Published 2015 Jul 23. DOI: 10.2196/jmir.4799
25.
FrederixISolmiFPiepoliM, et al.
Cardiac telerehabilitation: a novel cost-efficient care delivery strategy that can induce long-term health benefits. Eur J Prev Cardiol2017;
24: 1708–1717. Web.
26.
AvilaAClaesJBuysR, et al.
Home-based exercise with telemonitoring guidance in patients with coronary artery disease: does it improve long-term physical fitness?Eur J Prev Cardiol2020;
27, 367–377.
27.
Piotrowicz E, Pencina MJ, Opolski G, et al. Effects of a 9-Week Hybrid Comprehensive Telerehabilitation Program on Long-term Outcomes in Patients With Heart Failure: The Telerehabilitation in Heart Failure Patients (TELEREH-HF) Randomized Clinical Trial. JAMA Cardiol 2019; 5: 300–308.
28.
KraalJPeekNVan Den Akker-Van MarleE, et al.
Effects of home-based training with telemonitoring guidance in low to moderate risk patients entering cardiac rehabilitation: short-term results of the FIT@Home Study. Eur J Prev Cardiol2014;
21 (2 Suppl.): 26–31. Web.
29.
KraalJJVan den Akker-Van MarleMEAbu-HannaA, et al.
Clinical and cost-effectiveness of home-based cardiac rehabilitation compared to conventional, centre-based cardiac rehabilitation: results of the FIT@Home study. Eur J Prev Cardiol2017;
24: 1260–1273. DOI: 10.1177/2047487317710803
30.
MaddisonRRawstornJStewartR, et al.
Effects and costs of real-time cardiac telerehabilitation: randomised controlled non-inferiority trial. Heart2019;
105: 122–129. Web.
31.
ClaesJCornelissenVMcDermottC, et al.
Feasibility, acceptability, and clinical effectiveness of a technology-enabled cardiac rehabilitation platform (Physical Activity Toward Health-I): randomized controlled trial. J Med Internet Res2020;
22: e14221.
32.
YusufSHawkenSOunpuuS.Erratum: Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART Study): case–control Study. Lancet2004;
364: 937–952.
33.
KnuutiJWijnsWSarasteA, et al.; ESC Scientific Document Group.2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes: the Task Force for the diagnosis and management of chronic coronary syndromes of the European Society of Cardiology (ESC).Eur Heart J2020;
41: 407–477. https://doi.org/10.1093/eurheartj/ehz425
34.
Ponikowski P, Voors AA, Anker SD, et al. 2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure: The Task Force for the diagnosis and treatment of acute and chronic heart failure of the European Society of Cardiology (ESC) Developed with the special contribution of the Heart Failure Association (HFA) of the ESC [published correction appears in Eur Heart J. 2016 Dec 30]. Eur Heart J. 2016; 37(27): 2129–2200. doi:10.1093/eurheartj/ehw128
35.
IbanezBJamesSAgewallS, et al.; ESC Scientific Document Group.2017 ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation: the Task Force for the management of acute myocardial infarction in patients presenting with ST-segment elevation of the European Society of Cardiology (ESC). Eur Heart J2018;
39: 119–177. https://doi.org/10.1093/eurheartj/ehx393
36.
RoffiMPatronoCColletJ, et al.; ESC Scientific Document Group.
2015 ESC Guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation: Task Force for the Management of Acute Coronary Syndromes in Patients Presenting without Persistent ST-Segment Elevation of the European Society of Cardiology (ESC). Eur Heart J2016;
37: 267–315. https://doi.org/10.1093/eurheartj/ehv320
37.
De VriesH,. KempsHMCVan Engen-VerheulMM, et al.
Cardiac rehabilitation and survival in a large representative community cohort of Dutch patients. Eur Heart J2015;
36: 1519–1528. Web.
TzelepisFPaulCLWilliamsCM, et al.
Real‐time video counselling for smoking cessation. Cochrane Database Syst Rev2019;
10: CD012659. DOI: 10.1002/14651858.CD012659.pub2.
40.
KimSSDarwishSLeeSASpragueC, et al.
A randomized controlled pilot trial of a smoking cessation intervention for US women living with HIV: telephone‐based video call vs voice call.Int J Women's Health2018;
10: 545–555.
41.
RichterKPShiremanTIEllerbeckEF, et al.
Comparative and cost effectiveness of telemedicine versus telephone counseling for smoking cessation.J Med Internet Res2015;
17: e113.
42.
McCrabbSBakerALAttiaJ, et al.
Internet-based programs incorporating behavior change techniques are associated with increased smoking cessation in the general population: a systematic review and meta-analysis.Ann Behav Med: a publication of the Society of Behavioral Medicine2019; 53: 180–195.
43.
TaylorGMJDaliliMNSemwalM, et al.
Internet-based interventions for smoking cessation.Cochrane Database Syst Rev2017;
9: CD007078. Published 2017 Sep 4. DOI: 10.1002/14651858.CD007078.pub5
44.
NaughtonFCooperSBowkerK, et al.
Adaptation and uptake evaluation of an SMS text message smoking cessation programme (MiQuit) for use in antenatal care.BMJ Open2015;
5: E008871.
45.
MüssenerUBendtsenMKarlssonN, et al.
Effectiveness of short message service text-based smoking cessation intervention among university students: a randomized clinical trial. JAMA Intern Med2016;
176: 321–328. DOI: 10.1001/jamainternmed.2015.8260
46.
Cobos-CamposRApiñaniz Fernández De LarrinoaASáez De Lafuente MoriñigoA, et al.
Effectiveness of text messaging as an adjuvant to health advice in smoking cessation programs in primary care. A randomized clinical trial.Nicotine Tobacco Res2017;
19: 901–907.
47.
AugustsonEEngelgauMMZhangS, et al.
Text to quit China: an mHealth smoking cessation trial. Am J Health Promot2017;
31: 217–225. DOI: 10.4278/ajhp.140812-QUAN-399
48.
SpohrSANandyRGandhirajD, et al.
Efficacy of SMS text message interventions for smoking cessation: a meta-analysis. J Substance Abuse Treatm2015;
56: 1–10.
49.
YbarraMLJiangYFreeC, et al.
Participant-level meta-analysis of mobile phonebased interventions for smoking cessation across different countries. Prev Med2016;
89: 90–97. DOI: 10.1016/j.ypmed.2016.05.002
50.
WhittakerRMcRobbieHBullenC, et al.
Mobile phone text messaging and app‐based interventions for smoking cessation. Cochrane Database Syst Rev2019;
10: CD006611. DOI: 10.1002/14651858.CD006611.pub5.
51.
MasakiKTatenoHKameyamaN, et al.
Impact of a novel smartphone app (CureApp smoking cessation) on nicotine dependence: prospective single-arm interventional pilot study. JMIR Mhealth Uhealth2019;
7: e12694.
52.
ParatiGStergiouGSDolanE, et al.
Blood pressure variability: clinical relevance and application.J Clin Hypertens2018;
20: 1133–1137. Web.
53.
OmboniS.Connected health in hypertension management. Front Cardiovasc Med2019;
6: 76. Published 2019 Jun 13. DOI: 10.3389/fcvm.2019.00076
54.
OmboniSGazzolaTCarabelliG, et al.
Clinical usefulness and cost effectiveness of home blood pressure telemonitoring: meta-analysis of randomized controlled studies. J Hypertens2013;
31: 455–467. 10.1097/HJH.0b013e32835ca8dd
55.
DuanYXieZDongF, et al.
Effectiveness of home blood pressure telemonitoring: a systematic review and meta-analysis of randomised controlled studies. J Hum Hypertens2017;
31: 427–437. 10.1038/jhh.2016.99
56.
BobrowKJFarmerASpringerD, et al.
Mobile phone text messages to support treatment adherence in adults with high blood pressure (SMS-Text Adherence Support [StAR]): a single-blind, randomized trial. Circulation2016;
133: 592–600. Web.
57.
AlessaTAbdiSHawleyMS, et al.
Mobile apps to support the self-management of hypertension: systematic review of effectiveness, usability, and user satisfaction. JMIR Mhealth Uhealth2018;
6: e10723. 10.2196/10723
58.
MohammadiRAyatolahi TaftiMHoveidamaneshS, et al.
Reflection on mobile applications for blood pressure management: a systematic review on potential effects and initiatives.Stud Health Technol Inform2018;
247: 306–310. 10.3233/978-1-61499-852-5-306
59.
XiongSBerkhouseHSchoolerM, et al.
Effectiveness of mHealth interventions in improving medication adherence among people with hypertension: a systematic review. Curr Hypertens Rep2018;
20: 86. 10.1007/s11906-018-0886-7
60.
Torp-PedersenCRask-MadsenCGustafssonI, et al.
Diabetes mellitus and cardiovascular risk: just another risk factor?Eur Heart J2003;
5 (Suppl. F): F26–F32. https://doi.org/10.1016/S1520-765X(03)90013-7
61.
KennyHCAbelED.Heart failure in type 2 diabetes mellitus: impact of glucose-lowering agents, heart failure therapies, and novel therapeutic strategies. Circ Res2019;
124: 121–141. Web.
62.
CosentinoFGrantPJAboyansV, et al.; ESC Scientific Document Group.2019 ESC Guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD: the Task Force for diabetes, pre-diabetes, and cardiovascular diseases of the European Society of Cardiology (ESC) and the European Association for the Study of Diabetes (EASD). Eur Heart J2020;
41: 255–323. https://doi.org/10.1093/eurheartj/ehz486
63.
KleinmanNJShahAShahS, et al.
Improved medication adherence and frequency of blood glucose self-testing using an m-health platform versus usual care in a multisite randomized clinical trial among people with type 2 diabetes in India. Telemed J E Health2017;
23: 733–740.
64.
WuLForbesAGriffithsP, et al. Telephone follow‐up to improve glycaemic control in patients with type 2 diabetes: systematic review and meta‐analysis of controlled trials.Diabet Med2010;
27: 1217–1225. Web.
65.
SuksomboonNPoolsupNNgeYL.Impact of phone call intervention on glycemic control in diabetes patients: a systematic review and meta-analysis of randomized, controlled trials. PLoS One2014;
9: e89207. Published 2014 Feb 19. DOI: 10.1371/journal.pone.0089207
66.
LevinKMadsenJRPetersenI, et al.
Telemedicine diabetes consultations are cost-effective, and effects on essential diabetes treatment parameters are similar to conventional treatment: 7-year results from the Svendborg Telemedicine Diabetes project. J Diabetes Sci Technol2013;
7: 587–595.
67.
VerboskyNBeckeyCLutfiN.Implementation and evaluation of diabetes management via clinical video telehealth. Diabetes Care2016;
39: e1–e2.
68.
ToledoFGSRuppertKHuberKA, et al.
Efficacy of the Telemedicine for Reach, Education, Access, and Treatment (TREAT) model for diabetes care. Diabetes Care2014;
37: e179–e178.
69.
McLendonSF.Interactive video telehealth models to improve access to diabetes specialty care and education in the rural setting: a systematic review. Diabetes Spectr2017;
30: 124–136. DOI: 10.2337/ds16-0004
70.
HostBKJTurnerAWMuirJ. Real‐time teleophthalmology video consultation: an analysis of patient satisfaction in rural Western Australia.Clin Exp Optometry2018;
101: 129–134. Web.
71.
HuangLYanZHuangH.The effect of short message service intervention on glycemic control in diabetes: a systematic review and meta-analysis. Postgrad Med2019;
131: 566–571.
72.
HaiderRLikhithaSClaraKC, et al.
Mobile phone text messaging in improving glycaemic control for patients with type 2 diabetes mellitus: a systematic review and meta-analysis. Diabet Res Clin Pract2019;
150: 27–37.
73.
FlemingGPetrieJBergenstalR, et al.
Diabetes digital app technology: benefits, challenges, and recommendations. A consensus report by the European Association for the Study of Diabetes (EASD) and the American Diabetes Association (ADA) Diabetes Technology Working Group. Diabetes Care2020;
43: 250–260. Web.
74.
ZhangLHeXShenY, et al.
Effectiveness of smartphone app-based interactive management on glycemic control in chinese patients with poorly controlled diabetes: randomized controlled trial. J Med Internet Res2019;
21: e15401.
75.
YuYYanQLiH, et al.
Effects of mobile phone application combined with or without self-monitoring of blood glucose on glycemic control in patients with diabetes: a randomized controlled trial. J Diabetes Investig2019;
10: 1365–1371. DOI: 10.1111/jdi.13031
76.
HouCXuQDiaoS, et al.
Mobile phone applications and self‐management of diabetes: a systematic review with meta‐analysis, meta‐regression of 21 randomized trials and GRADE. Diabetes, Obes Metab2018;
20: 2009–2013.
77.
AnandSSHawkesCde SouzaRJ, et al.
Food consumption and its impact on cardiovascular disease: importance of solutions focused on the globalized food system: a report from the workshop convened by the World Heart Federation. J Am Coll Cardiol2015;
66: 1590–1614. DOI: 10.1016/j.jacc.2015.07.050
78.
HardenSMYouWAlmeidaFA, et al.
Does successful weight loss in an internet-based worksite weight loss program improve employee presenteeism and absenteeism?. Health Educ Behav2015;
42: 769–774. DOI: 10.1177/1090198115578751
79.
PlaeteJDe BourdeaudhuijIVerloigneM, et al.
Acceptability, feasibility and effectiveness of an ehealth behaviour intervention using self-regulation: ‘MyPlan’.Patient Educ Counsel2015;
98: 1617–1624.
80.
LugerEAspalterRLugerM, et al.
Changes of dietary patterns during participation in a web-based weight-reduction programme. Public Health Nutr2016;
19: 1211–1221. DOI: 10.1017/S1368980015002852. Epub 2015 Sep 28.
81.
BeleigoliAMAndradeAQCançadoAG, et al.
Web-based digital health interventions for weight loss and lifestyle habit changes in overweight and obese adults: systematic review and meta-analysis. J Med Internet Res2019;
21: e298. Published 2019 Jan 8. DOI: 10.2196/jmir.9609
82.
SiopisGCheyTAllman-FarinelliM.A systematic review and meta‐analysis of interventions for weight management using text messaging. J Human Nutr Dietetics2015;
28: 1–15.
83.
JobJRFjeldsoeBSEakinEG, et al.
Effectiveness of extended contact interventions for weight management delivered via text messaging: a systematic review and meta‐analysis.Obesity Rev2018;
19: 538–549.
84.
GoldsteinSPGoldsteinCMBondDS, et al.
Associations between self-monitoring and weight change in behavioral weight loss interventions. Health Psychol2019;
38: 1128–1136.
85.
MuralidharanSRanjaniHMohan AnjanaR, et al. Engagement and weight loss: results from the Mobile Health and Diabetes Trial.Diabetes Technol Therapeut2019;
21: 57–513.
86.
SchippersMAdamPCGSmolenskiDJ, et al.
A meta‐analysis of overall effects of weight loss interventions delivered via mobile phones and effect size differences according to delivery mode, personal contact, and intervention intensity and duration.Obesity Rev2017;
18: 450–459.
87.
ParkSHHwangJChoiYK.Effect of mobile health on obese adults: a systematic review and meta-analysis. Healthcare Inform Res2019;
25: 12–26. DOI: 10.4258/hir.2019.25.1.12
88.
DjuricZVanloonGRadakovichK, et al.
Design of a Mediterranean exchange list diet implemented by telephone counselling. J Am Diet Assoc2008;
108: 2059–2065.
89.
ParsonsJKNewmanVMohlerJL, et al.
The Men's Eating and Living (MEAL) study: a cancer and leukemia group B pilot trial of dietary intervention for the treatment of prostate cancer. Urology2008;
72: 633–637.
90.
Fakih El KhouryCKaravetianMHalfensR, et al.
The effects of dietary mobile apps on nutritional outcomes in adults with chronic diseases: a systematic review and meta-analysis.J Acad Nutr Dietetics2019;
119: 626–651. Web.
91.
AnderssonGTitovN.Advantages and limitations of Internet-based interventions for common mental disorders. World Psychiatry2014;
13: 4–11.
92.
AnderssonG.The internet and CBT: a clinical guide.
Boca Raton:
CRC Press, 2014.
93.
FairburnCGPatelV.The impact of digital technology on psychological treatments and their dissemination. Behav Res Ther2017;
88: 19–25. Web.
94.
SentellTZhangWDavisJ, et al.
The influence of community and individual health literacy on self-reported health status. J Gen Intern Med2014;
29: 298–304. DOI: 10.1007/s11606-013-2638-3
95.
MitchellSESadikovaEJackBW, et al.
Health literacy and 30-day postdischarge hospital utilization. J Health Commun2012;
17(Suppl. 3): 325–338. DOI: 10.1080/10810730.2012.715233.
96.
BostockSSteptoeA.Association between low functional health literacy and mortality in older adults: longitudinal cohort study. BMJ2012;
344: e1602.
97.
AndersonLBrownJPClarkAM, et al.
Patient education in the management of coronary heart disease. Cochrane Database Syst Rev2017;
6: CD008895.
98.
KotbAHsiehSWellsGA.The effect of telephone support interventions on coronary artery disease (CAD) patient outcomes during cardiac rehabilitation: a systematic review and meta-analysis. PLoS One2014;
9: e96581. https://doi.org/10.1371/journal.pone.0096581
99.
SouthardBHSouthardDRNuckollsJ.Clinical trial of an internet-based case management system for secondary prevention of heart disease. J Cardiopulm Rehabil2003;
23: 341–348. Web.
100.
DestegheLGermeysJVijgenJ, et al.
Effectiveness and usability of an online tailored education platform for atrial fibrillation patients undergoing a direct current cardioversion or pulmonary vein isolation. Int J Cardiol2018;
272: 123–129. Web.
101.
ChowCKRedfernJHillisG, et al.
Effect of lifestyle-focused text messaging on risk factor modification in patients with coronary heart disease: a randomized clinical trial. JAMA, the Journal of the American Medical Association2015;
314: 1255–1263. Web.
102.
NundySRaziRRDickJJ, et al.
A text messaging intervention to improve heart failure self-management after hospital discharge in a largely African-American population: before-after study. J Med Internet Res2013;
15: e53. Published 2013 Mar 11. DOI: 10.2196/jmir.2317
SalviDPoffleyEOrchardE, et al.
The mobile-based 6-Minute Walk Test: usability study and algorithm development and validation. JMIR Mhealth Uhealth2020;
8: e13756.
105.
SchulteJDucNAHoangDB, et al. A remote sensor-based 6-minute functional walking ability test. In: Proceedings of the SENSORS,2012IEEE Conference. 2012 Presented at: SENSORS'12; 28–31 October 2012; Taipei, Taiwan. URL: https://ieeexplore.ieee.org/abstract/document/6411040
106.
CapelaNALemaireEDBaddourN.Novel algorithm for a smartphone-based 6-minute walk test application: algorithm, application development, and evaluation. J Neuroeng Rehabil2015;
12: 19.
107.
NesBM1JanszkyIVattenLJ, et al.
Estimating VO2peak from a nonexercise prediction model: the HUNT Study, Norway. Med Sci Sports Exerc2011;
43: 2024–2030. DOI: 10.1249/MSS.0b013e31821d3f6f
108.
Topolski TD, LoGerfo J, Patrick DL, Williams B, Walwick J, Patrick MB. The Rapid Assessment of Physical Activity (RAPA) among older adults. Prev Chronic Dis 2006; 3: A118.
109.
MayerCJSteinmanLWilliamsB, et al.
Developing a telephone assessment of physical activity (TAPA) questionnaire for older adults. Prev Chronic Dis2008;
5: .
110.
CraigCLMarshallALSjöströmM, et al.
International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc2003;
35: 1381–1395.
111.
FriedLPTangenCMWalstonJ, et al.; Cardiovascular Health Study Collaborative Research Group.
Frailty in older adults: evidence for a phenotype. J Gerontol Med Sci2001;
56A: M146–M156.
112.
AfilaloJAlexanderKPMackMJ, et al.
Frailty assessment in the cardiovascular care of older adults. J Am Coll Cardiol2014;
63: 747–762. DOI: 10.1016/j.jacc.2013.09.070
113.
RubensteinLZHarkerJOSalvaA, et al.
Screening for undernutrition in geriatric practice: developing the short-form mini nutritional assessment (MNA-SF). J Gerontol2001;
56A: M366–M377.
114.
PodsiadloDRichardsonS.The Timed Up & Go: a test of basic functional mobility for frail elderly persons. J Am Geriatr Soc1991;
39: 142–148.
115.
MorleyJEMalmstromTKMillerDK.A simple frailty questionnaire (FRAIL) predicts outcomes in middle aged African Americans. J Nutr Health Aging2012;
16: 601–608. DOI: 10.1007/s12603-012-0084-2
116.
SørensenKPelikanJMRöthlinF, et al.
Health literacy in Europe: comparative results of the European health literacy survey (HLS-EU). Eur J Public Health2015;
25: 1053–1058. DOI: 10.1093/eurpub/ckv043
117.
OsborneRHBatterhamRWElsworthGR, et al.
The grounded psychometric development and initial validation of the Health Literacy Questionnaire (HLQ).BMC Public Health2013;
13: 658. DOI: 10.1186/1471-2458-13-658
118.
KroenkeKSpitzerRLWilliamsJB.The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med2001;
16: 606–613. DOI: 10.1046/j.1525-1497.2001.016009606.x\
119.
BeckATSteerRABrownGK.Manual for the Beck Depression Inventory-II.
San Antonio, TX:
Psychological Corporation, 1996.
120.
EifertGHThompsonRNZvolenskyMJ, et al.
The Cardiac Anxiety Questionnaire: development and preliminary validity. Behavr Res Therapy2000;
38: 1039–1053. Web.
121.
ZimetGDDahlemNWZimetSG, et al.
The multidimensional scale of perceived social support. J Personal Assess1988;
52: 30–41.
122.
PavyBIliouMCMeurinP, et al.; Functional Evaluation and Cardiac Rehabilitation Working Group of the French Society of Cardiology.
Safety of exercise training for cardiac patients: results of the French registry of complications during cardiac rehabilitation. Arch Intern Med2006;
166: 2329–2334. DOI: 10.1001/archinte.166.21.2329
123.
SmartNMarwickTH.Exercise training for patients with heart failure: a systematic review of factors that improve mortality and morbidity. Am J Med2004;
116: 693–706. Web.
124.
WarburtonDEJamnikVKBredinSS, et al.
Evidence-based risk assessment and recommendations for physical activity clearance: an introduction. Appl Physiol Nutr Metab2011;
36 (Suppl. 1): S1–S2. DOI: 10.1139/h11-060
125.
Warburton D, Jamnik V, Bredin S, et al. The physical activity readiness questionnaire for everyone (PAR-Qfl) and electronic physical activity readiness medical examination (ePARmed-Xfl). Health Fitness J Canada 2011; 4: 3–17.
Tudor-LockeCCraigCLBrownWJ, et al.
How many steps/day are enough? For adults. Int J Behav Nutr Phys Act2011;
8: 79.
128.
BassettDRJrTothLPLaMunionSR, et al.
Step counting: a review of measurement considerations and health-related applications. Sports Med2017;
47: 1303–1315.
129.
KraalJJ, et al.
Energy expenditure estimation in beta-blocker-medicated cardiac patients by combining heart rate and body movement data.Eur J Prev Cardiol2016;
23: 1734–1742. Epub 2016 Sep 13
