The first multicenter, randomized, controlled trial of home telemonitoring for Japanese patients with heart failure: home telemonitoring study for patients with heart failure (HOMES-HF)
Abstract
Home telemonitoring is becoming more important to home medical care for patients with heart failure. Since there are no data on home telemonitoring for Japanese patients with heart failure, we investigated its effect on cardiovascular outcomes. The HOMES-HF study was the first multicenter, open-label, randomized, controlled trial (RCT) to elucidate the effectiveness of home telemonitoring of physiological data, such as body weight, blood pressure, and pulse rate, for Japanese patients with heart failure (UMIN Clinical Trials Registry 000006839). The primary end-point was a composite of all-cause death or rehospitalization due to worsening heart failure. We analyzed 181 recently hospitalized patients with heart failure who were randomly assigned to a telemonitoring group (n = 90) or a usual care group (n = 91). The mean follow-up period was 15 (range 0-31) months. There was no statistically significant difference in the primary end-point between groups [hazard ratio (HR), 0.95; 95% confidence interval (CI), 0.548-1.648; p = 0.572]. Home telemonitoring for Japanese patients with heart failure was feasible; however, beneficial effects in addition to those of usual care were not demonstrated. Further investigation of more patients with severe heart failure, participation of home medical care providers, and use of a more integrated home telemonitoring system emphasizing communication as well as monitoring of symptoms and physiological data are required.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
4 (33%) of the 12 studies showed no difference in adherence when compared with a comparator.
“whereas 4 (33%) [30,51,66,84] showed no difference when compared with a comparator.”
From Interactive Remote Patient Monitoring Devices for Managing Chronic Health Conditions: Systematic Review and Meta-analysis (2022) · cites this paper as [66]
Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282 · see citing works
Charlson, M. E., Pompei, P., Ales, K. L., & MacKenzie, C. R. (1987) · Journal of Chronic Diseases · doi:10.1016/0021-9681(87)90171-8 · Cited by 49,742 · see citing works
The PHQ-9: Validity of a brief depression severity measure
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2001.016009606.x · Cited by 44,910 · see citing works
Hirono, N., Mori, E., Ikejiri, Y., Imamura, T., Shimomura, T., Hashimoto, M., Yamashita, H., & Ikeda, M. (1997) · PubMed · Cited by 21,010 · see citing works
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589 · see citing works
Older Adults' Reasons for Using Technology while Aging in Place
Peek, S. T. M., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., van der Voort, C. S., Aarts, S., van Hoof, J., Vrijhoef, H. J., & Wouters, E. (2015) · Gerontology · doi:10.1159/000430949 · Cited by 19,803 · see citing works
Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly
Kangas, M., Korpelainen, R., Vikman, I., Nyberg, L., & Jämsä, T. J. (2014) · Gerontology · doi:10.1159/000362720 · Cited by 19,003 · see citing works
A Proportional Hazards Model for the Subdistribution of a Competing Risk
Fine, J. P., & Gray, R. J. (1999) · Journal of the American Statistical Association · doi:10.1080/01621459.1999.10474144 · Cited by 14,290 · see citing works
Rich, M. W., Beckham, V., Wittenberg, C., Leven, C. L., Freedland, K. E., & Carney, R. M. (1995) · New England Journal of Medicine · doi:10.1056/nejm199511023331806 · Cited by 2,326 · see citing works
Telemonitoring in patients with heart failure
Chaudhry, S. I., Mattera, J. A., Curtis, J. P., Spertus, J. A., Herrin, J., Lin, Z., Phillips, C. O., Hodshon, B. V., Cooper, L. S., & Krumholz, H. M. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1010029 · Cited by 1,232 · see citing works
A note on competing risks in survival data analysis
Satagopan, J. M., Ben‐Porat, L., Berwick, M., Robson, M. E., Kutler, D. I., & Auerbach, A. D. (2004) · British Journal of Cancer · doi:10.1038/sj.bjc.6602102 · Cited by 752 · see citing works
Koehler, F., Winkler, S., Schieber, M., Sechtem, U., Stangl, K., Böhm, M., Boll, H., Baumann, G., Honold, M., Koehler, K., et al. (2011) · Circulation · doi:10.1161/circulationaha.111.018473 · Cited by 716 · see citing works
Impending Epidemic Future Projection of Heart Failure in Japan to the Year 2055
Okura, Y., Ramadan, M. M., Ohno, Y., Mitsuma, W., Tanaka, K., 伊藤, 正., Suzuki, K., Tanabe, N., Kodama, M., & Aizawa, Y. (2008) · Circulation Journal · doi:10.1253/circj.72.489 · Cited by 434 · see citing works
A Meta-Analysis of Remote Monitoring of Heart Failure Patients
Klersy, C., Silvestri, A. D., Gabutti, G., Regoli, F. D., & Auricchio, A. (2009) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2009.08.017 · Cited by 379 · see citing works
Inglis, S. C., Clark, R. A., McAlister, F. A., Stewart, S., & Cleland, J. G. F. (2011) · European Journal of Heart Failure · doi:10.1093/eurjhf/hfr039 · Cited by 378 · see citing works
Goldberg, L. R., Piette, J. D., Walsh, M. N., Frank, T. A., Jaski, B. E., Smith, A. L., Rodriguez, R., MANCINI, D. M., Hopton, L. A., Orav, E. J., et al. (2003) · American Heart Journal · doi:10.1016/s0002-8703(03)00393-4 · Cited by 366 · see citing works
Schoenfeld, D., & Richter, J. R. (1982) · Biometrics · doi:10.2307/2530299 · Cited by 356 · see citing works
Tsuchihashi‐Makaya, M., Hamaguchi, S., Kinugawa, S., Yokota, T., Goto, D., Yokoshiki, H., Kato, N., Takeshita, A., Tsutsui, H., & for the JCARE-CARD Investigators (2009) · Circulation Journal · doi:10.1253/circj.cj-09-0254 · Cited by 347 · see citing works
Self-citationTelemonitoring for Patients With Chronic Heart Failure: A Systematic Review
Chaudhry, S. I., Phillips, C. O., Stewart, S. S., Riegel, B., Mattera, J. A., Jerant, A. F., & Krumholz, H. M. (2007) · Journal of Cardiac Failure · doi:10.1016/j.cardfail.2006.09.001 · Cited by 231 · see citing works
Care Management for Low-Risk Patients with Heart Failure
DeBusk, R. F., Miller, N. H., Parker, K. M., Bandura, A., KRAEMER, H. C., Cher, D., West, J. A., Fowler, M. B., & Greenwald, G. (2004) · Annals of Internal Medicine · doi:10.7326/0003-4819-141-8-200410190-00008 · Cited by 214 · see citing works
Metaanalysis and review of heart failure disease management randomized controlled clinical trials
Whellan, D. J., Hasselblad, V., Peterson, E. D., O’Connor, C. M., & Schulman, K. A. (2005) · American Heart Journal · doi:10.1016/j.ahj.2004.09.023 · Cited by 181 · see citing works
Pandor, A., Gomersall, T., Stevens, J., Wang, J., Al‐Mohammad, A., Bakhai, A., Cleland, J. G. F., Cowie, M., & Wong, R. (2013) · Heart · doi:10.1136/heartjnl-2013-303811 · Cited by 147 · see citing works
Practical methods for competing risks data: A review
Bakoyannis, G., & Touloumi, G. (2011) · Statistical Methods in Medical Research · doi:10.1177/0962280210394479 · Cited by 139 · see citing works
Kahan, B. C., Cro, S., Doré, C. J., Bratton, D. J., Rehal, S., Maskell, N. A., Rahman, N., & Jairath, V. (2014) · Trials · doi:10.1186/1745-6215-15-456 · Cited by 123 · see citing works
Clinical Characteristics and Prognosis of Hospitalized Patients With Congestive Heart Failure
Tsuchihashi, M., Tsutsui, H., Kodama, K., Kasagi, F., & Takeshita, A. (2000) · Japanese Circulation Journal-english Edition · doi:10.1253/jcj.64.953 · Cited by 118 · see citing works
Self-citationTelemedicine in heart failure: Pre-specified and exploratory subgroup analyses from the TIM-HF trial
Koehler, F., Winkler, S., Schieber, M., Sechtem, U. P., Stangl, K., Böhm, M., de Brouwer, S., Perrin, E., Baumann, G., Gelbrich, G., et al. (2011) · International Journal of Cardiology · doi:10.1016/j.ijcard.2011.09.007 · Cited by 107 · see citing works
Minimization–reducing predictability for multi-centre trials whilst retaining balance within centre
Brown, S., Thorpe, H., Hawkins, K., & Brown, J. (2005) · Statistics in Medicine · doi:10.1002/sim.2391 · Cited by 97 · see citing works
A Conceptual Model of Quality of Life in Relation to Heart Failure
Rector, T. S. (2005) · Journal of Cardiac Failure · doi:10.1016/j.cardfail.2004.09.002 · Cited by 91 · see citing works
ACCF 2012 Health Policy Statement on Patient-Centered Care in Cardiovascular Medicine
Walsh, M. N., Bové, A. A., Cross, R. J., Ferdinand, K. C., Forman, D. E., Freeman, A. M., Hughes, S., Klodas, E., Koplan, M., Lewis, W. R., et al. (2012) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2012.03.016 · Cited by 73 · see citing works
The general self-efficacy scale (GSES) : Scale development and validation
SAKANO, Y., & 東條, 光. (1986) · Medical Entomology and Zoology · Cited by 73 · see citing works
Telemonitoring in Patients with Heart Failure
Inglis, S. C., Clark, R. A., & Cleland, J. G. F. (2011) · New England Journal of Medicine · doi:10.1056/nejmc1100395 · Cited by 63 · see citing works
Aamodt, I. T., Lycholip, E., Celutkiene, J., Strömberg, A., Atar, D., Falk, R. S., von Lueder, T., Hellesø, R., Jaarsma, T., & Lie, I. (2019) · Journal of Medical Internet Research · doi:10.2196/10362 · Cited by 49 · see citing works
Kotooka, N., Asaka, M., Sato, Y., Kinugasa, Y., Nochioka, K., Mizuno, A., Nagatomo, D., Mine, D., Yamada, Y., Eguchi, K., et al. (2013) · BMJ Open · doi:10.1136/bmjopen-2013-002972 · Cited by 15 · see citing works
Self-citationRemote monitoring in heart failure
Frenneaux, M. P., Gollop, N. D., Loudon, B. L., & Parasuraman, S. K. (2015) · European Heart Journal - Quality of Care and Clinical Outcomes · doi:10.1093/ehjqcco/qcv018 · Cited by 2 · see citing works
Multiple imputation of missing blood pressure covariates in survival analysis
van Buuren, S., Boshuizen, H. C., & Knook, D. L. (1999) · Statistics in Medicine · doi:10.1002/(sici)1097-0258(19990330)18:6
Flagged first, then by citations
Cited by
Sorted by citations
Mizukawa, M., Moriyama, M., Yamamoto, H., Rahman, M. M., Naka, M., Kitagawa, T., Kobayashi, S., Oda, N., Yasunobu, Y., Tomiyama, M., et al. (2019) · International Heart Journal · doi:10.1536/ihj.19-313 · Cited by 87 · see citing works
Leo, D. G., Buckley, B. J. R., Chowdhury, M., Harrison, S. L., Isanejad, M., Lip, G. Y. H., Wright, D. J., Lane, D. A., & the TAILOR investigators (2022) · Journal of Medical Internet Research · doi:10.2196/35508 · Cited by 62 · see citing works
Aamodt, I. T., Lycholip, E., Celutkiene, J., Strömberg, A., Atar, D., Falk, R. S., von Lueder, T., Hellesø, R., Jaarsma, T., & Lie, I. (2019) · Journal of Medical Internet Research · doi:10.2196/10362 · Cited by 49 · see citing works
- Authors
- On behalf of the HOMES-HF study investigators, Kotooka, N., Kitakaze, M., Nagashima, K., Asaka, M., Kinugasa, Y., Nochioka, K., Mizuno, A., Nagatomo, D., Mine, D., Yamada, Y., Kuratomi, A., Okada, N., Fujimatsu, D., Kuwahata, S., Toyoda, S., Hirotani, S.-I., Komori, T., Eguchi, K., Kario, K., Inomata, T., Sugi, K., Yamamoto, K., Tsutsui, H., Masuyama, T., Shimokawa, H., Momomura, S.-I., Seino, Y., Sato, Y., Inoue, T., & Node, K.
- Affiliations
- Saga University (JP)
- Chiba University (JP)
- Tohoku University (JP)
- Jichi Medical University (JP)
- Oita University (JP)
- Dokkyo Medical University (JP)
- Hyogo Medical University (JP)
- Toho University Ohashi Medical Center (JP)
- Hokkaido University (JP)
- Corresponding author
- Kotooka, Norihiko
- ORCID
- Kotooka, Norihiko
- Kitakaze, Masafumi
- Nagashima, Kengo
- Kinugasa, Yoshiharu
- Nochioka, Kotaro
- Mizuno, Atsushi
- Nagatomo, Daisuke
- Yamada, Yoko
- Okada, Norihiro
- Kuwahata, So
- Toyoda, Shigeru
- Komori, Takahiro
- Kario, Kazuomi
- Inomata, Takayuki
- Yamamoto, Kazuhiro
- Tsutsui, Hiroyuki
- Shimokawa, Hiroaki
- Momomura, Shin-ichi
- Seino, Yoshihiko
- Sato, Yasunori
- Inoue, Teruo
- Node, Koichi
- Venue
- Heart and Vessels
- Published
- 2018-02-15
- Volume
- 33
- Issue
- 8
- Pages
- 866-876
- ISSN
- 0910-8327 (ISSN-L)
- 1615-2573
- OpenAlex
- W2789058784
- Cited by
- 66
- References
- 35
- Citations by year
- 2026: 4 · 2025: 11 · 2024: 7 · 2023: 8 · 2022: 11 · 2021: 17 · 2020: 5 · 2019: 2 · 2018: 1
- FWCI
- 4.72
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Heart and Vessels (publishedVersion)
- PubMed (publishedVersion)
- Institutional Repositories DataBase (IRDB) (submittedVersion)
- Funders
- Japanese Ministry of Health, Labor, and Welfare (Comprehensive Research on Aging, Health (KR23000003), Health (KR24000001))
- Japan Society for the Promotion of Science KAKENHI (JP17K09510)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Failure Treatment and Management
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- home health monitoring, heart failure, Japanese patients, cardiovascular outcomes, all-cause mortality, heart failure readmission, home medical care, physiological monitoring
- MeSH terms
- Aged, Female, Follow-Up Studies, Heart Failure, Hemodynamics, Home Care Services, Humans, Japan, Male, Monitoring, Physiologic, Morbidity, Prospective Studies, Telemedicine, Disease Management
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review