Factors Influencing Adherence to Non-Invasive Telemedicine in Heart Failure: A Systematic Review
Abstract
:1. Introduction
2. Materials and Methods
2.1. Protocol
2.2. Search Strategy
2.3. Inclusion and Exclusion Criteria
2.4. Data Extraction
2.5. Risk of Bias Assessment
3. Results
3.1. Risk of Bias
3.2. Studies Characteristics
3.3. Adherence
3.4. Age
3.5. Sex
3.6. Race
3.7. Place of Residence
3.8. Follow-Up Period
3.9. Number of Recorded Parameters
4. Discussion
4.1. Standardizing Terminology
4.2. Improving Compliance
5. Study Limitations
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Data Availability Statement
Conflicts of Interest
References
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Study | D1 | D2 | D3 | D4 | D5 | Overall |
---|---|---|---|---|---|---|
TIM-HF2 [45] | ||||||
OSICAT [46] | ||||||
BEAT-HF [47] | ||||||
ITEC-CHF [48] | ||||||
HOMES-HF [49] | ||||||
Pekmezaris et al. [50] |
Study | Study Type | Country/Centers | Duration | Sample Size | Age (Years) | Males (%) | Ethnicity (%) | HF Categories |
---|---|---|---|---|---|---|---|---|
TIM-HF2 [45] | Prospective, RCT (1:1) | Germany; 200 | 12 months | 1571 (796 TM, 775 UC) | 70 ± 10 | 70 | n/a | HFpEF 25% HFmEF 30% HFrEF 45% |
OSICAT [46] | Prospective, RCT (1:1) | France; 13 | 18 months | 990 (507 TM, 483 UC) | 69.9 ± 12.4 | 72.3 | n/a | HFpEF 21.7% HFmEF 19.8% HFrEF 58.5% |
BEAT-HF [47] | Prospective, RCT (1:1) | USA; 6 | 6 months | 1437 (722 TM, 715 UC) | 70.9 ± 14.1 | 53.8 | White 50.7 Black 23.2 Hispanic 13.2 | EF (mean) 42.7 |
ITEC-CHF [48] | Prospective, RCT (1:1) | Australia; 2 | 6 months | 184 (91 TM, 93 UC) | 70.1 ± 12.3 | 76.6 | n/a | HFrEF 100% |
HOMES-HF [49] | Prospective, RCT (1:1) | Japan; 27 | 12 months | 181 (90 TM, 91 UC) | 67.1 ± 12.8 | 57 | Japanese 100 | EF (mean ± SD) 40.5 ± 11.4 |
Pekmezaris et al. [50] | Prospective, RCT (1:1) | USA; 1 | 90 days | 104 (46 TM, 58 UC) | 59.9 ± 15.1 | 59 | Black 69 Hispanic 31 | HFpEF 29% HFmEF 10% HFrEF 61% |
Study | Inclusion Criteria | Data Transmitted | Intervention | Adherence |
---|---|---|---|---|
TIM-HF2 [45] | LVEF ≤ 45%, or if >45% treated with oral diuretics; NYHA II or III; inpatient for HF within 12 last months | Weight, BP, ECG, and self-rated health status | Physician-led medical support for 24/7 | The ratio between the number of days with measurements performed and the number of days with measurements possible |
OSICAT [46] | Inpatient for HF within 12 months ago | Weight and eight symptom questions | Structured telephone support and nurse-led collaborative care | The ratio of the number of days with body weight measurement divided by the effective days * |
BEAT-HF [47] | Older adults being inpatients for HF during recruitment | Weight | Structured telephone support | Count of adherence days from 0 (no transmission) to 7 (daily transmission) in event-free weeks |
ITEC-CHF [48] | EF ≤ 40% | Weight | Structured telephone support and nurse-led collaborative care | Monitoring days per/180 days × 7 days/week |
HOMES-HF [49] | NYHA II–III; admission for HF within 30 days of enrolment | BP, HR, weight, and body composition | Nurse-led collaborative care | Monitoring days/ days that measurements should be performed in a month × 100% |
Pekmezaris et al. [50] | NYHA I–III | BP, oxygen saturation rate, weight, and HR. | Structured telephone support and nurse-led collaborative care | Low: <10 uploads over 90 days High: ≥ 10 uploads over 90 days |
ADHERENCE | |||||
---|---|---|---|---|---|
3 Months | 6 Months | 9 Months | 12 Months | 18 Months | |
TIM-HF2 [45] | >85% | >85% | >85% | >85% | |
OSICAT [46] | 50.4 ± 31.4 | 74 ± 35.3 | 69.8 ± 36 | 68.8 ± 36.8 | 65.7 ± 37.6 |
BEAT-HF [47] | 69% | 53.3% | - | - | - |
ITEC-CHF [48] | - | 97% with ≥4 uploads/ week | - | - | - |
HOMES-HF [49] | 96.2% | 90.4% | 88.5% | 90.9% | - |
Pekmezaris et al. [50] | 50% with <10 uploads | - | - | - | - |
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Koulaouzidis, G.; Tsigkriki, L.; Grammenos, O.; Iliopoulou, S.; Kalaitzoglou, M.; Theodorou, P.; Bostanitis, I.; Skonieczna-Żydecka, K.; Charisopoulou, D. Factors Influencing Adherence to Non-Invasive Telemedicine in Heart Failure: A Systematic Review. Clin. Pract. 2025, 15, 79. https://doi.org/10.3390/clinpract15040079
Koulaouzidis G, Tsigkriki L, Grammenos O, Iliopoulou S, Kalaitzoglou M, Theodorou P, Bostanitis I, Skonieczna-Żydecka K, Charisopoulou D. Factors Influencing Adherence to Non-Invasive Telemedicine in Heart Failure: A Systematic Review. Clinics and Practice. 2025; 15(4):79. https://doi.org/10.3390/clinpract15040079
Chicago/Turabian StyleKoulaouzidis, George, Lamprini Tsigkriki, Orestis Grammenos, Sotiria Iliopoulou, Maria Kalaitzoglou, Panagiotis Theodorou, Ioannis Bostanitis, Karolina Skonieczna-Żydecka, and Dafni Charisopoulou. 2025. "Factors Influencing Adherence to Non-Invasive Telemedicine in Heart Failure: A Systematic Review" Clinics and Practice 15, no. 4: 79. https://doi.org/10.3390/clinpract15040079
APA StyleKoulaouzidis, G., Tsigkriki, L., Grammenos, O., Iliopoulou, S., Kalaitzoglou, M., Theodorou, P., Bostanitis, I., Skonieczna-Żydecka, K., & Charisopoulou, D. (2025). Factors Influencing Adherence to Non-Invasive Telemedicine in Heart Failure: A Systematic Review. Clinics and Practice, 15(4), 79. https://doi.org/10.3390/clinpract15040079