Table 2.
Characteristics of study interventions and evaluation index.
| Type | First author | Intervention duration | Mobile health management measures | Manage the main content or direction | Management mode | Evaluation index |
|---|---|---|---|---|---|---|
| Hemodialysis | Li Shensen (21) | 6 months | Monitoring system | Effectiveness of health management | Active management | 1. Incidence of dialysis complications; 2. Blood pressure, hemoglobin, blood calcium and phosphorus, blood albumin, standard protein breakdown rate, subjective nutrition score (SGA); 3.Urea clearance index 4. Dialysis adequacy. |
| Zhaohui Ni (22) | 28 months | Dialysis registration system based on wechat mobile platform | Anemia monitoring | Automatically push | Hemoglobin and hematocrit levels | |
| Raquel Scofano (23) | 6 months | Assisted home hemodialysis | The role of remote monitoring in improving the relationship between doctors, nurses and patients | / | Remote monitoring experience | |
| Dayna E. Minatodani (24) | 42 months | Remote care nurse–patient contact | Health management | Active management | Number of hospital and emergency department visits, length of stay, and total cost of hospital and emergency room services for all patients | |
| Jennifer Gabbard (25) | 6 months | An iPad-based symptom assessment tool | Evaluation feasibility analysis | / | Ease of use of the system | |
| Neumann, Claas L (26) | 3 months | Body weight telemetry | Weight management | Automatic monitoring followed by active management | Interdialytic weight gain | |
| Steven J. Berman, (27) | 12 months | VitelCare Turtle 500 | Health management outcomes, quality of life, cost–benefit analysis | Automatic monitoring followed by active management | 1. Health outcome measures included hospitalization, emergency room visits, and length of stay. 2. The economic analysis includes total hospital and emergency room costs. 3. Quality of life was measured using the Medical Outcomes Survey tool 36-item Short Form Health Survey (SF-36) |
|
| Jessica Dawson (28) | 6 months | Mobile phone short message | Dietary behavior intervention | Automatic SMS push | 1. They were measured using recruitment and retention rates, acceptability of the intervention, and adherence to dietary recommendations. 2. Secondary findings included information on certain clinical parameters associated with dietary management in patients receiving maintenance hemodialysis |
|
| Eric D. Weinhandl (29) | 1.18 years | Nx2me Interconnect health Platform | To evaluate the mechanisms by which telemedicine platforms improve patient clinical outcomes and patient burden | / | Risk of all-cause attrition, dialysis cessation (i.e., death or transplant) and technical failure | |
| Nicola Elzabeth Anderson (30) | / | Monitoring system | Evaluate the usefulness of patient-reported outcomes collected by the system | / | / | |
| Mohsen T orabi Khah (31) | 1 month | App | Treatment adherence and perception | Automatically push AND Active management | “Treatment adherence and perception | |
| Kidney transplantation | John W. McGillicuddy (32) | 6 months | An electronic medication tray and an mHealth app | Medication adherence intervention | Intelligent reminder | The proportion of patients obtaining normal tacrolimus trough variability |
| Nielsen, Charlotte (33) | / | App | Improve follow-up after renal transplantation | / | / | |
| Rachel E. Patzer (34) | / | A mobile clinical decision aid (iChoose Kidney) | Estimates of risks of death and survival on dialysis compared to kidney transplantation | / | The discriminatory ability of the model for 3-year mortality | |
| Rachel E. Patzer (35) | 12 months | A mobile clinical decision aid (iChoose Kidney) | Improving knowledge about treatment options among transplant candidates | Intelligent reminder | Change in transplant knowledge | |
| Elisa J. Gordon (36) | 3 weeks | A Website | Increase Knowledge About Living Kidney Donation and Transplantation Among Hispanic/Latino Dialysis Patients | / | Participants’ knowledge scores | |
| A. Schmid (37) | 12 months | Telemedicine support | Optimize Routine Evidence-Based Aftercare | Custom management | Medical outcomes, adherence, quality of life and costs | |
| Edward W. Aberger (38) | 6 months | Telemedicine systems and electronic blood pressure monitoring systems | Enhancing Patient Engagement and Blood Pressure Management | Automatically push AND Active management | Systolic, diastolic, and pulse rate | |
| Lieke Wirken (39) | / | internet | A guided and tailored internet-based cognitive behavioral therapy (ICBT) intervention for donors and donor candidates was developed and the feasibility and perceived effectiveness were evaluated. | Custom management | Health related quality of life, anxiety and depression | |
| Rachel E. Patzer (40) | 8 months | iChoose Kidney | Improve access to individualized prognosis information comparing dialysis and transplantation outcomes | Auxiliary management | 1. Change in knowledge; 2. Change in treatment preferences,; 3. Improved decisional conflict, and increased access to kidney transplantation |
|
| Charlotte Nielsen (41) | / | APP | Development of a telehealth solution to improve the kidney transplantation process | Active management | / | |
| Alfonso M Cueto-Manzano (42) | 4 months | Mobile phone short message | Improve lifestyle and adherence of patients | Automatically push AND Active management | The usefulness of the text messages, the medication reminders, the appointment reminders | |
| Peritoneal dialysis | Zheng Pian (43) | 6 months | APP | Explore the application effect of mobile medical app in the follow-up management of peritoneal dialysis patients | Automatically push AND Active management | 1. Incidence of complications: peritonitis incidence, catheter outlet infection rate, tunnel infection rate, hospitalization rate 2. Daily record of indicator changes: weight. Bmi. Blood pressure, Ultrafiltration, Urine Volume 3. Test indicators: Hemoglobin (Hb), Albumin (Alb), hemoglobin (HB), albumin (ALB),Serum creatinine (Scr), Calcium (Ca), Phosphorus (P), serum Creatinine (SCR),Blood urea nitrogen (BUN), Intact parathyroid hormone (iPTH) and urea clearance (Kt/V) indicators |
| Fu Qiao Hui (44) | 12 months | Internet Plus cloud platform | Evaluate the management effect of various management modes | Automatically push AND Active management | Clinical data, laboratory test indicators, peritonitis incidence, tube drift incidence, tube blockage incidence, dropout rate, Duration of peritoneal dialysis treatment, average length of stay in patients exiting peritoneal dialysis” |
|
| Manya Magnus (45) | 2 times | Specific educational online videos | Understand patient satisfaction with telemedicine | / | Blood pressure, weight, glucose and peritoneal dialysis (PD)-specific educational online videos for ESRD patients using PD | |
| Daphne M. Harrington (46) | 251 days | A Tablet Computer Platform | The Use of a Tablet Computer Platform to optimize the Care of Patients Receiving to assess their usage in a pilot trial | Active management | Compliance with the applications ranged from 51–92%. No major adverse events were recorded. The overall impression of the interface was 5.2 out of 10 | |
| Tiantian Ma (47) | / | The PD telemedicine App called Manburs | To explore potential predictors and their effects on patient survival, technique survival, and the occurrence of infectious and noninfectious complications. | Automatically push AND Active management | Patient survival, technique survival, hospitalization, and the occurrence of infectious and noninfectious complications. | |
| Brett Tarca (48) | 7 days | Ecological momentary assessment mobile application | Explore the real-time relationships between fatigue, mood and physical activity in people with ESKD receiving peritoneal dialysis. | / | Fatigue and mood | |
| Vishal Dey (49) | 15 months | Computer tablets | To explore patient acceptability of technology and evaluate its effect on clinical interventions and quality of life in patients undergoing peritoneal dialysis |
Automatically push AND Active management | QUEST and QOL outcomes: Satisfaction scores retention rates Clinical interventions: admissions and supporting patients to self-manage from the comfort of their home. |
|
| Giusto Viglino (50) | 19 ± 12.9 months | Video dialysis | To overcome physical, cognitive and psychological barriers to PD. | Active management | Peritonitis incidence Assisted PD patients, with a family member/live-in carer patients selfcare patients | |
| Xiao Xu (51) | at least 20 months | The Peritoneal Dialysis Telemedicine-assisted Platform and TM app (Manburs) | Aimed to explore the long-term effects of TM on the mortality and technique failure | Automatically push AND Active management | All-cause mortality | |
| Not specify the treatment methods | Chi-Sheng Hung (52) | 24 weeks | Internet-based platform | Aimed to evaluate the effect of renal function status on hospitalization among patients receiving this program and to evaluate the relationship between contract compliance rate to the program and risk of hospitalization in patients with CKD | Automatically push AND Active management | 1. Contract Compliance Rate to the Telehealth Program 2. Renal Function and Hospitalization 3. Interaction Between Renal Status and Contract Compliance Rate With Telehealth |
| Ji-Eun Kim (53) | / | A personalized mobile dialysis device | To examine patients’ and caregivers’ design preferences and feature considerations for an Ambulatory Kidney to Improve Vitality | / | / | |
| Emily Seto (54) | / | Internet use | To ascertain the prevalence and predictors of Internet use by ESRD patients among different dialysis modalities. | / | The prevalence and predictors of Internet use | |
| Abu Bakkar Siddique (55) | / | Mobile Apps | To comprehensively evaluate mobile apps used for medication compliance and nutrition tracking for possible use by CKD and ESRD patients | / | Mobile App Rating Scale | |
| Manuel Prado (56) | / | A novel telehealth care system for ESRD patients called VCRS |
/ | / | / | |
| Meaghan Lunney (57) | / | Telephone, telemetry or video conferencing | Systematically reviewed studies that examined the effectiveness of telehealth versus or in addition to usual care for ESRD management |
/ | / | |
| Priya Ramar (58) | / | Remote monitoring | Effects of Different Models of Dialysis Care on Patient-Important Outcomes | / | The effect of interventions on mortality and hospitalizations |
“/“means not mentioned.