Activity and Profile of the Users of a Novel Mobile Application Supporting Proper Diet Among Maintenance Hemodialysis Patients

Kowal, A.; Wojczuk, Maksymilian; Grabowska, M.; Szaran, Jowita; Kowal, Marta; Pawłowicz, Ewa; Pęczek-Bartyzel, Katarzyna; Nowicki, Michał

doi:10.1053/j.jrn.2023.01.010

Cited by 3 publications

(2 citation statements)

References 25 publications

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“…There were eight RCTs [ 43 , 47 , 49 , 51 – 54 , 56 ], nine non-randomised study designs [ 25 , 26 , 40 – 42 , 44 , 45 , 48 , 50 , 55 ] and two process evaluations [ 39 , 46 ] of dietary or lifestyle interventions primarily delivered by mobile applications on a range of outcomes ( Table 1 ). There were six reports of feasibility/usability [ 26 , 42 , 44 , 48 , 49 , 52 ], five for self-efficacy [ 40 , 43 , 47 , 49 , 56 ] and acceptability [ 42 , 44 , 49 , 52 , 56 ], and four for health related quality of life (HRQoL) [ 42 , 43 , 47 , 48 ], with positive effects generally reported for these outcomes ( Table 3 ).…”

Section: Resultsmentioning

confidence: 99%

“…A retrospective cohort analysis showed an improvement in their composite outcome of decline in eGFR and incidence of ESKD following the use of a lifestyle application [45]. See Table 2 for the findings from the mobile application process evaluations [39,46]. Overall quality rating was rated as poor (0-4 as "yes"), fair (5-10 as "yes"), as good (11-14 as "yes").…”

Section: Plos Onementioning

confidence: 99%

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Lifestyle interventions delivered by eHealth in chronic kidney disease: A scoping review

Curtis,

Burton,

Butt

et al. 2024

PLoS ONE

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A method of overcoming barriers associated with implementing lifestyle interventions in CKD may be through the use of eHealth technologies. The aim of this review was to provide an up-to-date overview of the literature on this topic. Four bibliographical databases, two trial registers, and one database for conference proceedings were searched from inception to August 2023. Studies were eligible if they reported a lifestyle intervention using eHealth technologies. A narrative synthesis of the findings from the included studies structured around the type of eHealth intervention was presented. Where a sufficient number of studies overlapped in terms of the type of intervention and outcome measure these were brought together in a direction of effect plot. There were 54 included articles, of which 23 were randomised controlled trials (RCTs). The main component of the intervention for the included studies was mobile applications (n = 23), with the majority being in the dialysis population (n = 22). The majority of eHealth interventions were reported to be feasible and acceptable to participants. However, there was limited evidence that they were efficacious in improving clinical outcomes with the exception of blood pressure, intradialytic weight gain, potassium, and sodium. Although eHealth interventions appear acceptable and feasible to participants, there is insufficient evidence to make recommendations for specific interventions to be implemented into clinical care. Properly powered RCTs which not only demonstrate efficacy, but also address barriers to implementation are needed to enhance widespread adoption.

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Section: Resultsmentioning

confidence: 99%

Section: Plos Onementioning

confidence: 99%

Lifestyle interventions delivered by eHealth in chronic kidney disease: A scoping review

Curtis,

Burton,

Butt

et al. 2024

PLoS ONE

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Development and Evaluation of User‐Friendly Modeled Approach for Sustainable Polymer Membranes for Advanced Hemodialysis

Khan,

Jahan,

Ahsan

et al. 2024

Adv Materials Inter

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Hemodialysis is crucial for patients with end‐stage renal disease, yet evaluating its operating parameters often requires complex mathematical models. To simplify this process, user‐friendly modules have been developed to accurately assess key parameters with minimal inputs, enabling users to track disease prognosis. These modules incorporate governing equations and allow straightforward analysis. Validation against experimental data from polymer membrane studies demonstrated that at a blood flow rate of 300 mL min−1, the model predicted a clearance of 262 mL min−1, showing 7% difference from the actual value of 281 mL min−1. At a dialysate flow of 400 mL min−1, the model's predicted clearance was 286.47 mL min−1, with only a 1% difference compared to previous model. The module also showed 40% higher clearance in counter‐current flow compared to co‐current, with a 47% difference at 400 mL min−1 dialysate flow. Increasing the hollow fibre length from 27 to 50 cm led to a 4% clearance increase. Additionally, increasing residual renal clearance by 0.5 mL min−1 doubled the standard Kt V−1 Kt/V, and similar effects were seen by increasing weekly hemodialysis sessions. The app allows simulations, plots, and comparisons with minimal inputs and can be integrated into MATLAB or other platforms, benefiting both patients and researchers in prognosis and treatment analysis.

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Community Nutrition and Lifestyle Medicine for Kidney Health: Awareness of the Social Determinants of Health in Renal Nutrition

Hasbal

Wang

Moore

2023

Journal of Renal Nutrition

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Activity and Profile of the Users of a Novel Mobile Application Supporting Proper Diet Among Maintenance Hemodialysis Patients

Cited by 3 publications

References 25 publications

Lifestyle interventions delivered by eHealth in chronic kidney disease: A scoping review

Lifestyle interventions delivered by eHealth in chronic kidney disease: A scoping review

Development and Evaluation of User‐Friendly Modeled Approach for Sustainable Polymer Membranes for Advanced Hemodialysis

Community Nutrition and Lifestyle Medicine for Kidney Health: Awareness of the Social Determinants of Health in Renal Nutrition

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