Improving Dialysis Adherence for High Risk Patients Using Automated Messaging: Proof of Concept

Som, Avik; Groenendyk, Jacob; An, Tessler; Patel, Kunjan; Peters, Robert M.; Polites, Greg; Ross, Will

doi:10.1038/s41598-017-03184-z

Cited by 24 publications

(37 citation statements)

References 19 publications

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“…Eleven papers reporting on 10 unique studies of telehealth in ESRD management were included (Table 1). [11][12][13][14][15][16][17][18][19][20][21] Studies were conducted across 8 countries, published between 2007 and 2017, and had sample sizes that ranged from 11 to 135 patients. Table S1).…”

Section: Characteristics Of Included Studiesmentioning

confidence: 99%

“…Three telephone interventions were performed by nurses 12,16,17 and 1 videoconferencing intervention was conducted by nephrologists. 20 Interventions involving a multidisciplinary health care team used either telephone (text messaging), 21 videoconferencing, 14 or telemetry 13,15,19 (Table 1; Fig 2).…”

Section: Health Care Providermentioning

confidence: 99%

“…Six studies used telehealth for patients receiving HD, and 4 studies, for patients receiving peritoneal dialysis ( Table 1). Studies that examined patients receiving HD evaluated the following interventions: 1 connected nephrologists with remote clinics, 20 2 supported patients undergoing home dialysis, 11,18,19 2 supported self-management for adherence to HD sessions 21 and diet, 15 and 1 provided a mental health intervention. 16 Studies that examined peritoneal dialysis patients evaluated the following interventions: 2 monitored home dialysis patients 13,14 and 2 assisted with the transition from discharge from hospital to home.…”

Section: Purpose Of Telehealth Interventionmentioning

confidence: 99%

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Impact of Telehealth Interventions on Processes and Quality of Care for Patients With ESRD

Lunney

Lee

Tang

et al. 2018

American Journal of Kidney Diseases

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Caring for patients with end-stage renal disease (ESRD) requiring dialysis is intensive and expensive. Telehealth may improve the access and efficiency of ESRD care. For this perspective, we systematically reviewed studies that examined the effectiveness of telehealth versus or in addition to usual care for ESRD management. 10 studies were identified, including 7 randomized trials and 3 cohort studies. Study populations, modes of delivery (including telephone, telemetry, or videoconferencing), and the outcomes evaluated varied substantially between studies. Two studies examined telehealth interventions versus standard ESRD care and demonstrated mixed results on processes of care, no differences in laboratory surrogate markers of ESRD care, and reduced or similar rates of hospitalization. Eight studies evaluated the addition of telehealth to usual care and demonstrated no significant improvements in processes of care or surrogate laboratory measures, variable impacts on hospitalization rates, and mixed impacts on some domains of quality of life, including improvement in mental health. Although potential benefits of telehealth in ESRD care have been reported, optimal designs for delivery and elements of care that may be improved through telehealth remain uncertain.

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Section: Characteristics Of Included Studiesmentioning

confidence: 99%

Section: Health Care Providermentioning

confidence: 99%

Section: Purpose Of Telehealth Interventionmentioning

confidence: 99%

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Impact of Telehealth Interventions on Processes and Quality of Care for Patients With ESRD

Lunney

Lee

Tang

et al. 2018

American Journal of Kidney Diseases

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“…Recent reviews have focused on medical and sociodemographic variables suggesting time on dialysis, recurrent hospitalizations, psychological and psychiatric morbidity, presence of other comorbidities, younger age, non‐Caucasian ethnicity, being a smoker, and being single/divorced/widowed as clinically relevant risk factors . These findings suggest the need to focus on psychosocial modifiable variables related to social support, in particular marital support, as they seem to play a protective role towards a better adjustment to ESRD and to dialysis …”

Section: Introductionmentioning

confidence: 99%

Social support and treatment adherence in patients with end‐stage renal disease: A systematic review

Sousa

Ribeiro

Paúl

et al. 2019

Seminars in Dialysis

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Successful dialysis in end‐stage renal disease (ESRD) largely depends on the patients’ ability to adhere to several clinical requirements and life‐style changes. Social support has been consistently linked to better health outcomes in a number of chronic diseases. The current study presents a systematic review of the literature on the relationship between social support and treatment adherence in ESRD. The search was performed on Web of Science, PsycInfo, ScienceDirect, and Scopus from January 19 to May 15, 2019. Two hundred and twenty‐four records were identified. After quality assessment, 17 studies were included for qualitative synthesis. This review comprised a total of 2362 patients. Most patients were on hemodialysis (97.5%) for an average of 58.2 months. Results suggested an overall pattern of mixed findings regarding the association between social support and treatment adherence. Adherence to fluid restrictions was the type of adherence with more significant associations with social support (63%). Mixed results were found for adherence to dialysis sessions (50%) and to medication (50%). Associations between adherence to diet restrictions and social support were found in 44% of the included studies. No significant associations were found between social support and adherence to follow‐up consults. All of the included studies combining several types of adherence into an overall score found significant associations with social support. Findings suggested that it might be particularly beneficial to focus future research and clinical efforts toward social support from family, significant others, and health professionals, to improve patient's with ESRD treatment adherence.

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“…The software was built on algorithms trained to identify at-risk patients and to order a relevant screening test for CKD [35]. A digital messaging platform, EpxDialysis, has improved patient-to-dialysis center communication and adherence to dialysis therapy via text messaging and telephone technology [36]. ML has also been used to develop a device to improve dialysis treatment and optimize the shape of an arteriovenous fistula, and to suppress blood flow turbulences in preclinical trials [37].…”

Section: Potential Ai and ML Applications For Chronic Hemodialysis Pamentioning

confidence: 99%

Progress in the Development and Challenges for the Use of Artificial Kidneys and Wearable Dialysis Devices

Hueso

Navarro²,

Sandoval

et al. 2018

Kidney Dis

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Background: Renal transplantation is the treatment of choice for chronic kidney disease (CKD) patients, but the shortage of kidneys and the disabling medical conditions these patients suffer from make dialysis essential for most of them. Since dialysis drastically affects the patients’ lifestyle, there are great expectations for the development of wearable artificial kidneys, although their use is currently impeded by major concerns about safety. On the other hand, dialysis patients with hemodynamic instability do not usually tolerate intermittent dialysis therapy because of their inability to adapt to a changing scenario of unforeseen events. Thus, the development of novel wearable dialysis devices and the improvement of clinical tolerance will need contributions from new branches of engineering such as artificial intelligence (AI) and machine learning (ML) for the real-time analysis of equipment alarms, dialysis parameters, and patient-related data with a real-time feedback response. These technologies are endowed with abilities normally associated with human intelligence such as learning, problem solving, human speech understanding, or planning and decision-making. Examples of common applications of AI are visual perception (computer vision), speech recognition, and language translation. In this review, we discuss recent progresses in the area of dialysis and challenges for the use of AI in the development of artificial kidneys. Summary and Key Messages: Emerging technologies derived from AI, ML, electronics, and robotics will offer great opportunities for dialysis therapy, but much innovation is needed before we achieve a smart dialysis machine able to analyze and understand changes in patient homeostasis and to respond appropriately in real time. Great efforts are being made in the fields of tissue engineering and regenerative medicine to provide alternative cell-based approaches for the treatment of renal failure, including bioartificial renal systems and the implantation of bioengineered kidney constructs.

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Improving Dialysis Adherence for High Risk Patients Using Automated Messaging: Proof of Concept

Cited by 24 publications

References 19 publications

Impact of Telehealth Interventions on Processes and Quality of Care for Patients With ESRD

Impact of Telehealth Interventions on Processes and Quality of Care for Patients With ESRD

Social support and treatment adherence in patients with end‐stage renal disease: A systematic review

Progress in the Development and Challenges for the Use of Artificial Kidneys and Wearable Dialysis Devices

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