Remote Health Monitoring for Older Adults and Those with Heart Failure: Adherence and System Usability
Open accessAbstract
Background: Remote health monitoring technology has been suggested as part of an early intervention and prevention care model. Older adults with a chronic health condition have been shown to benefit from remote monitoring but often have challenges with complex technology. The current study reports on the usability of and adherence with an integrated, real-time monitoring system over an extended period of time by older adults with and without a chronic health condition. Materials and Methods: Older adults 55 years of age and over with and without heart failure participated in a study in which a telehealth system was used for 6 months each. The system consisted of a wireless wristwatch-based monitoring device that continuously collected temperature and motion data. Other health information was collected daily using a weight scale, blood pressure cuff, and tablet that participants used for health surveys. Data were automatically analyzed and summarized by the system and presented to study nurses. Results: Forty-one older adults participated. Seventy-one percent of surveys, 75% of blood pressure readings, and 81% of daily weight measurements were taken. Participants wore the watch monitor 77% of the overall 24/7 time requested. The weight scale had the highest usability rating in both groups. The groups did not otherwise differ on device usage. Conclusions: The findings indicate that a health monitoring system designed for older adults can and will be used for an extended period of time and may help older adults with chronic conditions reside longer in their own homes in partnership with the healthcare system.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
Of the 12 studies, 7 (58%) demonstrated a benefit of telemonitoring on patient adherence when compared with a comparator.
“Of the 12 studies, 7 (58%) [13,36,42,48,58,59,92] demonstrated a benefit of telemonitoring on patient adherence 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 [48]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Osterberg, L., & Blaschke, T. (2005) · New England Journal of Medicine · doi:10.1056/nejmra050100 · Cited by 7,974 · see citing works
Pfeiffer, E. A. (1975) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1975.tb00927.x · Cited by 5,320 · see citing works
Usability Evaluation In Industry
(1996) · CRC Press eBooks · doi:10.1201/9781498710411 · Cited by 4,400 · see citing works
Kirk, J. M. W., MacDonald, A., Lavender, P., Dean, J. M., & Rubin, G. (2017) · Biomedicine Hub · doi:10.1159/000480347 · Cited by 3,901 · see citing works
Wechsler Adult Intelligence Scale-III
Ryan, J. J., & Lopez, S. J. (2001) · Springer eBooks · doi:10.1007/978-1-4615-1185-4_2 · Cited by 3,680 · see citing works
Roger, V. L. (2013) · Circulation Research · doi:10.1161/circresaha.113.300268 · Cited by 1,728 · 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
Factors influencing acceptance of technology for aging in place: A systematic review
Peek, S. T. M., Wouters, E. J. M., van Hoof, J., Luijkx, K. G., Boeije, H. R., & Vrijhoef, H. J. M. (2014) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2014.01.004 · Cited by 1,206 · 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
Aging and Information Technology Use: Potential and Barriers
Charness, N., & Boot, W. R. (2009) · Current Directions in Psychological Science · doi:10.1111/j.1467-8721.2009.01647.x · Cited by 674 · see citing works
Self-citationOmboni, S., Gazzola, T., Carabelli, G., & Parati, G. (2013) · Journal of Hypertension · doi:10.1097/hjh.0b013e32835ca8dd · Cited by 313 · see citing works
Hawley-Hague, H., Boulton, E. R., Hall, A., Pfeiffer, K., & Todd, C. (2014) · Int. J. Medical Informatics · doi:10.1016/j.ijmedinf.2014.03.002 · Cited by 213 · see citing works
Automated Hovering in Health Care — Watching Over the 5000 Hours
Asch, D. A., Muller, R. W., & Volpp, K. G. (2012) · New England Journal of Medicine · doi:10.1056/nejmp1203869 · Cited by 193 · see citing works
Claes, V., Devriendt, E., Tournoy, J., & Milisen, K. (2014) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2014.05.010 · Cited by 114 · see citing works
Goldstein, C. M., Gathright, E. C., Dolansky, M. A., Gunstad, J., Sterns, A., Redle, J. D., Josephson, R., & Hughes, J. W. (2014) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x14541039 · Cited by 86 · see citing works
Remote patient monitoring acceptance trends among older adults residing in a frontier state
Giger, J. T., Pope, N. D., Vogt, H. B., Gutierrez, C., Newland, L. A., Lemke, J., & Lawler, M. J. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.11.044 · Cited by 85 · see citing works
Adherence to Blood Pressure Telemonitoring in a Cluster‐Randomized Clinical Trial
Kerby, T. J., Asche, S. E., Maciosek, M. V., O’Connor, P. J., Sperl‐Hillen, J. M., & Margolis, K. L. (2012) · Journal of Clinical Hypertension · doi:10.1111/j.1751-7176.2012.00685.x · Cited by 58 · see citing works
Heart Failure Patient Adherence
Corotto, P. S., McCarey, M. M., Adams, S., Khazanie, P., & Whellan, D. J. (2012) · Heart Failure Clinics · doi:10.1016/j.hfc.2012.09.004 · Cited by 58 · see citing works
Knowledge of Disease and Dietary Compliance in Patients with End-Stage Renal Disease
Katz, R. C., Ashmore, J., Barboa, E. V., et al. (1998) · Psychological Reports · doi:10.2466/pr0.1998.82.1.331 · Cited by 19 · see citing works
Metrics for Assessing the Reliability of a Telemedicine Remote Monitoring System
Charness, N. H., Fox, M. R., Papadopoulos, A., & Crump, C. (2013) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2012.0143 · Cited by 17 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 3
- [13]Gerteis J, Izrael D, Deitz D, LeRoy L, Ricciardi R, Miller T, Basu J. Multiple chronic conditions chartbook. AHRQ Publications Number Q14-0038. Rockville, MD: Agency for Healthcare Research and Quality, 2014 [Google Scholar]
- [15]Evans J, Papadopoulos A, Charness N, Tsien Silvers C, Boot WR, Schlachta-Fairchild L. Patient adherence and usability of a telehealth system for real-time automated hovering in an older adult sample [abstract]. Telemed J E Health 2014;20(5):A135–A136 [Google Scholar]
- [16]Evans J, Tsein Silvers C, Papadopoulos A, Charness N, Boot WR, Schlachta-Fairchild L, et al. Reliability, usability, and patient adherence with a real-time automated hovering telehealth system in older adults with chronic health conditions [abstract]. Telemed J E Health 2015;21(5):A126–A127 [Google Scholar]
Cited by
Sorted by citations
Wearable Devices for Ambulatory Cardiac Monitoring
Sana, F., Isselbacher, E. M., Singh, J. P., Heist, E. K., Pathik, B., & Armoundas, A. A. (2020) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2020.01.046 · Cited by 362 · 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
Supportive home health care technology for older adults: Attitudes and implementation
Charness, N., Best, R., & Evans, J. (2016) · Gerontechnology · doi:10.4017/gt.2016.15.4.006.00 · Cited by 27 · see citing works
Self-citation
- Authors
- Evans, J., Papadopoulos, A., Silvers, C. T., Charness, N., Boot, W. R., Schlachta-Fairchild, L., Crump, C., Martinez, M., & Ent, C. B.
- Affiliations
- Florida State University (US)
- AFrame Digital (United States) (US)
- AFrame Digital, Inc.
- iTelehealth Inc.
- Florida State University
- Corresponding author
- Charness, Neil
- Venue
- Telemedicine and e-Health
- Publisher
- SAGE Publications
- Published
- 2016-06
- Volume
- 22
- Issue
- 6
- Pages
- 480-488
- ISSN
- 1530-5627 (ISSN-L)
- 1556-3669
- PMC
- PMC4892222
- OpenAlex
- W2112469494
- Cited by
- 119
- References
- 20
- Citations by year
- 2026: 8 · 2025: 12 · 2024: 8 · 2023: 16 · 2022: 17 · 2021: 20 · 2020: 13 · 2019: 6 · 2018: 10 · 2017: 7 · 2016: 2
- FWCI
- 16.08
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Telemedicine Journal and e-Health (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Demography › Technology Use by Older Adults
- 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
- remote patient monitoring, older adults, heart failure, telemedicine, technology adherence, system usability, wearable devices, chronic disease, home care, weight monitoring, blood pressure monitoring, temperature monitoring, early intervention
- MeSH terms
- Aged, Aged, 80 and over, Blood Pressure, Body Weight, Chronic Disease, Female, Heart Failure, Humans, Male, Middle Aged, Patient Compliance, Self Care, Telemedicine, Monitoring, Ambulatory, Computers, Handheld, Remote Sensing Technology
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
