Chronic Kidney Diseases
Conditions
Keywords
Digital Health, mHealth, Remote patient monitoring, Chronic care management
Brief summary
The best treatment of Chronic Kidney Disease (CKD) is facilitated by early detection, when the progression of the disease can be slowed down or stopped. Early treatment focuses on diet, exercise, lifestyle changes, treating risk factors (diabetes, hypertension, etc.) and administration of medications supporting kidney functions. However, once the glomerular filtration rate dropped below 15 ml/min/1.73m2, treatment with dialysis or a kidney transplant is required. Dialysis treatments come with a huge lifestyle management and economic burden to the patients as well as the healthcare systems. The challenges may be facilitated by usage of mobile applications that help the patients/caregivers and multidisciplinary team to manage the complexity of Peritoneal Dialysis (PD) treatment. Even though several mobile applications currently exist, they focus on certain limited aspects of health monitoring like diet or vitals and medical adherence like medication reminders. An application which would take a comprehensive all-in-one solution approach targeted towards managing kidney health is needed. The platform developed by AWAK Technologies consists of a Admin Portal, web-based Clinic Portal and a Patient Mobile Application. The App would allow patients/caregivers to enter treatment data related to their dialysis therapy, medication, symptoms and vital monitoring. It also allows them to communicate with their healthcare team via messaging and teleconsult. The study aims to evaluate the feasibility of using this mHealth platform in the clinical setting. Additionally, the clinical investigation seeks to obtain data for further development of the mHealth platform that will better fulfil the needs of patients and healthcare professionals.
Interventions
DEVICEmHealth Remote Monitoring platform
Clinic Portal and Mobile Application for remote monitoring of Chronic Kidney Disease patients and patients on Peritoneal Dialysis
Sponsors
Singapore General Hospital
AWAK Technologies Pte Ltd
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
SUPPORTIVE_CARE
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
21 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Diagnosed with CKD or on PD * Treated at the Singapore General Hospital's Renal Clinic * Able to read and understand English language well enough to independently follow instructions in the App and enter data in English * Cognitively and physically capable and willing to interact with a digital device with internet access and perform self measurements * Owns a digital device with internet access \[Apple/Android running on at least iPhone operating system (iOS) v13/Android v9\]
Exclusion criteria
* Living in an assisted facility, e.g., eldercare facilities, and hospices where their care is done/provided completely by healthcare professionals * Patients or caregivers who have no access to digital device with internet access * Patient has a severe comorbidity or poor general physical/mental health that, in the opinion of the investigator, will not allow the patient to be a good investigation candidate (i.e., other disease processes, mental capacity, substance abuse, shortened life expectancy, vulnerable patient population) * The patient is currently involved in another clinical investigation where that participation may conflict or interfere with the treatment, follow-up or results of this clinical investigation
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Incidence of adherence to mobile app use as assessed by total number of participants adhering to mobile app use out of all participants. | 6 months | Adherence is defined as use of app for ≥ 2 times on average per week for CKD patients and 7 times on average per week for PD patients |
| Average time spent on using mobile app per day per participant | 6 months | Reported as minutes per day per participant |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Pre and post study comparison of hospitalization rate | 6 months | Reported as days per patient-month |
| Pre and post study comparison of total number of unplanned clinic visit or emergency department visit | 6 months | — |
| Pre and post study comparison of exit-site infection rate among peritoneal dialysis patients | 6 months | Reported as episode per patient-year |
| Frequency of smart companion devices use | 6 months | Assessed by average number of smart device use per week per participant (reported as frequency per week per participant) |
| Pre and Post study comparison of estimated Glomerular Filtration Rate (eGFR) for CKD patients | 6 months | — |
| Pre and Post study comparison of blood pressure measurement for CKD patients | 6 months | — |
| Pre and Post study comparison of the number of anti-hypertensive medications for CKD patients | 6 months | — |
| Pre and post study comparison of peritonitis rate for PD patients | 6 months | Reported as episode per patient-year |
| User experience | 6 months | Measured by the mHealth app usability questionnaire (7-point likert scale with total possible score of 147) |
Countries
Singapore
Outcome results
None listed