Designing for Improved Patient Experiences in Home Dialysis: Usability and User Experience Findings From User-Based Evaluation Study With Patients With Chronic Conditions.

BACKGROUND: Chronic kidney disease affects 10% of the population worldwide, and the number of patients receiving treatment for end-stage kidney disease is forecasted to increase. Therefore, there is a pressing need for innovative digital solutions that increase the efficiency of care and improve patients' quality of life. The aim of the eHealth in Home Dialysis project is to create a novel eHealth solution, called eC4Me, to facilitate predialysis and home dialysis care for patients with chronic kidney disease. OBJECTIVE: Our study aimed to evaluate the usability, user experience (UX), and patient experience (PX) of the first version of the eC4Me solution. METHODS: We used a user-based evaluation approach involving usability testing, questionnaire, and interview methods. The test sessions were conducted remotely with 10 patients with chronic kidney disease, 5 of whom had used the solution in their home environment before the tests, while the rest were using it for the first time. Thematic analysis was used to analyze user test and questionnaire data, and descriptive statistics were calculated for the UMUX (Usability Metric for User Experience) scores. RESULTS: Most usability problems were related to navigation, the use of terminology, and the presentation of health-related data. Despite usability challenges, UMUX ratings of the solution were positive overall. The results showed noteworthy variation in the expected benefits and perceived effort of using the solution. From a PX perspective, it is important that the solution supports patients' own health-related goals and fits with the needs of their everyday lives with the disease. CONCLUSIONS: A user-based evaluation is a useful and necessary part of the eHealth solution development process. Our study findings can be used to improve the usability and UX of the evaluated eC4Me solution. Patients should be actively involved in the solution development process when specifying what information is relevant for them. Traditional usability tests complemented with questionnaire and interview methods can serve as a meaningful methodological approach for gaining insight not only into usability but also into UX- and PX-related aspects of digital health solutions.

Direct Transition from Hospital to Home Dialysis: Revolutionizing Home Dialysis Training.

A large portion of new patients with end stage kidney disease initiates dialysis in the acute setting and continue with outpatient dialysis at in-center facilities. To increase home dialysis adoption, programs have successfully operationalized Urgent Start peritoneal dialysis to have patients avoid in-center dialysis and move straight to home. However, Urgent Start home hemodialysis (HHD) has not been a realistic option for providers or patients due to complex machines and long training times (greater than four weeks). The landscape of dialysis treatment is evolving, and innovative approaches are being explored to improve patient outcomes and optimize health care resources. This article delves into the concept of directly transitioning incident patients from hospital admission to HHD, bypassing traditional in-center dialysis training. This forward-thinking approach aims to empower patients, enhance their treatment experience, maximize efficiency, and streamline health care operations. A large hospital organization in the Northeast was able to successfully transition three patients from hospital "crash" starts on hemodialysis directly to HHD.

Service Utilization Patterns and Direct Medical Costs of Hospitalization in Patients With Renal Failure Before and After Initiating Home Peritoneal Dialysis.

OBJECTIVES: This study aimed to determine the hospital service utilization patterns and direct healthcare hospital costs before and during peritoneal dialysis (PD) at home. METHODS: A retrospective cohort study of patients with kidney failure (KF) was conducted at a Mexican Social Security Institute hospital for the year 2014. Cost categories included inpatient emergency room stays, inpatient services at internal medicine or surgery, and hospital PD. The study groups were (1) patients with KF before initiating home PD, (2) patients with less than 1 year of home PD (incident), and (3) patients with more than 1 year of home PD (prevalent). Costs were actualized to international dollars (Int$) 2023. RESULTS: We found that 53% of patients with KF used home PD services, 42% had not received any type of PD, and 5% had hospital dialysis while waiting for home PD. The estimated costs adjusting for age and sex were Int$5339 (95% CI 4680-9746) for patients without home PD, Int$17 556 (95% CI 15 314-19 789) for incident patients, and Int$7872 (95% CI 5994-9749) for prevalent patients; with significantly different averages for the 3 groups (P < .001). CONCLUSIONS: Although the use of services and cost is highest at the time of initiating PD, over time, using home PD leads to a significant reduction in use of hospital services, which translates into institutional cost savings. Our findings, especially considering the high rates of KF in Mexico, suggest a pressing need for interventions that can reduce healthcare costs at the beginning of renal replacement therapy.

Evaluation and Measurement Properties of a Patient-Reported Experience Measure for Home Dialysis.

BACKGROUND: No previously validated patient-reported experience measures exist for use among patients undergoing home dialysis. We tested the Home Dialysis Care Experience survey, a newly developed 26-item experience measure, among patients from 30 dialysis facilities in the United States. METHODS: Using mail and telephone survey modalities, we approached 1372 patients treated with peritoneal dialysis or home hemodialysis for participation. Using the results from completed surveys, we evaluated item calibration by assessing item floor and ceiling effects. We tested three sets of composite scores and used factor analysis to assess model fit for each. We evaluated associations of composite scores with global ratings and separately with patient and dialysis facility characteristics. Finally, we measured test-retest reliability in patients who completed the survey at two separate time points. RESULTS: Overall, 495 eligible patients completed at least one survey (response rate 36%). Of these, 49 completed the survey in Spanish and 61 completed a second survey within 30 days. We did not detect significant floor or ceiling effects, except for one item that demonstrated >90% responses at the top response option. Analyses supported one 12-item composite scale with high internal consistency reliability: Quality of Home Dialysis Care and Operations (Cronbach alpha=0.85). This scale strongly correlated with overall staff rating ( r =0.73) and overall center rating ( r =0.70). Patient demographic and dialysis facility characteristics were not consistently associated with composite scale scores or overall staff or center ratings. Intraclass correlation coefficients in the test-retest population were 0.74 for the Quality scale, 0.88 for overall staff rating, and 0.90 for overall center rating. CONCLUSIONS: The Home Dialysis Care Experience survey is a 26-item measure that includes one composite scale and two global rating scores and is an informative tool to evaluate patient experience of care for home dialysis.

Developing eHealth for Home Dialysis: Clinicians' Needs for a Digital Patient Engagement Platform.

eHealth solutions such as digital patient engagement platforms (DPEPs) aim at enhancing communication and collaboration between patients and clinicians. From the clinicians' viewpoint, concerns exist about new information systems (IS) leading to increased workload and interoperability problems. This article aims to support the development and implementation of DPEPs from the end-users' perspective. We studied clinicians' needs for a new DPEP developed to support home dialysis (HD) care. Eight clinicians participated in remote semi-structured interviews. Clinicians had positive expectations for the new DPEP as it could provide an overall picture of patients' status, support patients' self-care, and save time during patient visits. However, they had concerns about successful implementation, changes to workflows, and integration issues. To conclude, it is important to design and agree on changes in work practices, patient care, and complex IS environments when implementing new DPEP solutions in clinics.

Predicting transfer to haemodialysis using the peritoneal dialysis surprise question.

BACKGROUND: People on peritoneal dialysis (PD) at risk of transfer to haemodialysis (HD) need support to remain on PD or ensure a safe transition to HD. Simple point-of-care risk stratification tools are needed to direct limited dialysis centre resources. In this study, we evaluated the utility of collecting clinicians' identification of patients at high risk of transfer to HD using a single point of care question. METHODS: In this prospective observational study, we included 1275 patients undergoing PD in 35 home dialysis programmes. We modified the palliative care 'surprise question' (SQ) by asking the registered nurse and treating nephrologist: 'Would you be surprised if this patient transferred to HD in the next six months?' A 'yes' or 'no' answer indicated low and high risk, respectively. We subsequently followed patient outcomes for 6 months. Cox regression model estimated the hazard ratio (HR) of transfer to HD. RESULTS: Patients' mean age was 59 ± 16 years, 41% were female and the median PD vintage was 20 months (interquartile range: 9-40). Responses were received from nurses for 1123 patients, indicating 169 (15%) as high risk and 954 (85%) as low risk. Over the next 6 months, transfer to HD occurred in 18 (11%) versus 29 (3%) of the high and low-risk groups, respectively (HR: 3.92, 95% confidence interval (CI): 2.17-7.05). Nephrologist responses were obtained for 692 patients, with 118 (17%) and 574 (83%) identified as high and low risk, respectively. Transfer to HD was observed in 14 (12%) of the high-risk group and 14 (2%) of the low-risk group (HR: 5.56, 95% CI: 2.65-11.67). Patients in the high-risk group experienced higher rates of death and hospitalisation than low-risk patients, with peritonitis events being similar between the two groups. CONCLUSIONS: The PDSQ is a simple point of care tool that can help identify patients at high risk of transfer to HD and other poor clinical outcomes.

Prescribing the dialysis dose and treatment frequency in home haemodialysis.

BACKGROUND: There is growing interest in home haemodialysis (HHD) performed with low-flow dialysate devices and variable treatment schedules. The target standard Kt/V (stdKt/V) should be 2.3 volumes/week, according to KDOQI guidelines (2015). The current formula for stdKt/V does not help prescribe the dialysis dose (eKt/V) and treatment frequency (TF). The aim of this study was to obtain a formula for stdKt/V that is able to define the minimum required values of eKt/V and TF to achieve the targeted stdKtV. METHODS: Thirty-eight prevalent patients on HHD were enrolled. A total of 231 clinical datasets were available for urea modelling using the Solute-Solver software (SS), recommended by KDOQI guidelines. A new formula (stdKt/V = a + b × Kru + c × eKt/V) was obtained from multivariable regression analysis of stdKt/V vs eKt/V and residual kidney urea clearance (Kru). The values of coefficients a, b and c depend on the treatment schedules and the day of the week of blood sampling for the kinetic study (labdayofwk) and then vary for each of their foreseen 62 combinations. For practical purposes, we used only seven combinations, assuming Monday as a labdayofwk for each of the most common schedules of the 7 days of the week. RESULTS: The stdKt/V values obtained with SS were compared with the paired ones obtained with the formula. The mean ± standard deviation stdKt/V values obtained with SS and the formula were 3.043 ± 0.530 and 2.990 ± 0.553, respectively, with 95% confidence interval +0.15 to -0.26. A 'prescription graph' was built using the formula to draw lines expressing the relationship between Kru and required eKt/V for each TF. Using this graph, TF could have been reduced from the delivered 5.8 ± 0.8 to 4.8 ± 0.8 weekly sessions. CONCLUSIONS: The new formula for stdKtV is reliable and can support clinicians to prescribe the dialysis dose and TF in patients undergoing HHD.

Patient-Centered Home Hemodialysis: Approaches and Prescription.

Writing a home hemodialysis (HD) prescription is a complex, multifactorial process that requires the incorporation of patient values, preferences, and lifestyle. Knowledge of the different options available for home HD modality (conventional, nocturnal, short daily, and alternate nightly) is also important when customizing a prescription. Finally, an understanding of the different home HD machines currently approved for use at home and their different attributes and limitations helps guide providers when formulating their prescriptions. In this review article, we set out to address these different aspects to help guide providers in providing a patient-centered home HD approach.

Outcomes of Integrated Home Dialysis Care: Results From the Canadian Organ Replacement Register.

RATIONALE & OBJECTIVE: The integrated home dialysis model proposes the initiation of kidney replacement therapy (KRT) with peritoneal dialysis (PD) and a timely transition to home hemodialysis (HHD) after PD ends. We compared the outcomes of patients transitioning from PD to HHD with those initiating KRT with HHD. STUDY DESIGN: Observational analysis of the Canadian Organ Replacement Register (CORR). SETTINGS & PARTICIPANTS: All patients who initiated PD or HHD within the first 90 days of KRT between 2005 and 2018. EXPOSURE: Patients transitioning from PD to HHD (PD+HHD group) versus patients initiating KRT with HHD (HHD group). OUTCOME: (1) A composite of all-cause mortality and modality transfer (to in-center hemodialysis or PD for 90 days) and (2) all hospitalizations (considered as recurrent events). ANALYTICAL APPROACH: A propensity score analysis for which PD+HHD patients were matched 1:1 to (1) incident HHD patients ("incident-match" analysis) or (2) HHD patients with a KRT vintage at least equivalent to the vintage of PD+HHD patients at the transition time ("vintage-matched" analysis). Cause-specific hazards models (composite outcome) and shared frailty models (hospitalization) were used to compare groups. RESULTS: Among 63,327 individuals in the CORR, 163 PD+HHD patients (median of 1.9 years in PD) and 711 HHD patients were identified. In the incident-match analysis, compared to the HHD patients, the PD+HHD group had a similar risk of the composite outcome (HR, 0.88 [95% CI, 0.58-1.32]) and hospitalizations (HR, 1.04 [95% CI, 0.76-1.41]). In the vintage-match analysis, PD+HHD patients had a lower hazard for the composite outcome (HR, 0.61 [95% CI, 0.40-0.94]) but a similar hospitalization risk (HR, 0.85 [95% CI, 0.59-1.24]). LIMITATIONS: Risk of survivor bias in the PD+HHD cohort and residual confounding. CONCLUSIONS: Controlling for KRT vintage, the patients transitioning from PD to HHD had better clinical outcomes than the incident HHD patients. These data support the use of integrated home dialysis for patients initiating home-based KRT. PLAIN-LANGUAGE SUMMARY: The integrated home dialysis model proposes the initiation of dialysis with peritoneal dialysis (PD) and subsequent transition to home hemodialysis (HHD) once PD is no longer feasible. It allows patients to benefit from initial lifestyle advantages of PD and to continue home-based treatments after its termination. However, some patients may prefer to initiate dialysis with HHD from the outset. In this study, we compared the long-term clinical outcomes of both approaches using a large Canadian dialysis register. We found that both options led to a similar risk of hospitalization. In contrast, the PD-to-HHD model led to improved survival when controlling for the duration of kidney failure.

Home-Based Dialysis: A Primer for the Internist.

Home-based dialysis modalities offer both clinical and practical advantages to patients. The use of the home-based modalities, peritoneal dialysis and home hemodialysis, has been increasing over the past decade after a long period of decline. Given the increasing frequency of use of these types of dialysis, it is important for clinicians to be familiar with how these types of dialysis are performed and key clinical aspects of care related to their use in patients with end-stage kidney disease.

Characteristics of registered research in peritoneal dialysis: Past and present.

Recent national policy changes in the United States and the continued growth of peritoneal dialysis (PD) as a therapy for end-stage kidney disease has renewed interest in this modality. The objective of this study was to describe the current landscape of PD clinical trials to assess trends and gaps in clinical research. An advanced search was completed through ClinicalTrials.gov, yielding 248 studies. Descriptive statistics and Fisher exact tests were used for statistical analysis. Most studies were completed (197, 79.4%), did not indicate a phase (143, 57.7%), were academically sponsored (156, 62.9%), or conducted in Asia (88, 35.5%). There has been overall growth in PD clinical trials since 1995. The type of phase was related to study location (p = 0.008). The type of study intervention was related to study recruitment status, sponsor type, and primary outcome (p = 0.030, p < 0.001, p < 0.001, respectively). Despite growth in PD research worldwide, more studies are being conducted outside the U.S., and static investment in U.S. government-sponsored PD research risks not achieving the goal of increasing availability of home dialysis.

[The benefits of home visits for patients on home hemodialysis]. / Intérêt des visites à domicile pour les patients traités par hémodialyse à domicile.

The success of home hemodialysis depends on several criteria. On the one hand, the patient's willingness to be autonomous, his or her degree of understanding, the technical feasibility at home, and the presence of a third party. Secondly, the quality of initial training (which must respect the patient's rhythm) and follow-up at home. This is a true patient-caregiver partnership, based on trust. Home visits are part of this approach, and help maintain the link, as a team at Caen University Hospital can testify.

Enhancing Home Dialysis Training and Retention through Interactive Virtual Reality.

Patients with end stage kidney disease (ESKD) face challenges in comprehending and pursuing available treatment options, particularly with the rising interest in home-based dialysis. Providers struggle to deliver effective, individualized, and cost-efficient training, leading to lower adoption and retention rates. Cannulation, machine use, and safety training remain significant barriers. Using learning science - the marriage of psychology and the neuroscience of learning - we show that interactive virtual reality (IVR) can address these barriers to home dialysis success by providing the experiential learning necessary for deeper understanding and increased competence. We show that IVR broadly engages multiple learning centers in the brain, thus spreading the wealth of knowledge while reducing cognitive load. We conclude by presenting a practical example of the potential of IVR in objective assessment of home dialysis equipment use and cannulation skills training.

Observations in the Field Concerning Home Dialysis.

This article describes observations and findings related to home dialysis therapy. Dialyzing at home provides many benefits, giving patients more flexibility and autonomy. Ensuring proper education and training, and home adaptation is critical for patient safety. Survey findings related to group training, home visits, medical records, and the use of patient care technicians in home dialysis are reviewed. Implications for nephrology nursing in each scenario are discussed, including survey guidance for transitional care dialysis.

Vancomycin and daptomycin dosing recommendations in patients receiving home hemodialysis using Monte Carlo simulation.

BACKGROUND: Few drug dosing recommendations for patients receiving home hemodialysis (HHD) have been published which has hindered the adoption of HHD. HHD regimens vary widely and differ considerably from conventional, thrice weekly, in-center hemodialysis in terms of treatment frequency, duration and blood and dialysate flow rates. Consequently, vancomycin and daptomycin clearances in HHD are also likely to be different, consequently HHD dosing regimens must be developed to ensure efficacy and minimize toxicity when these antibiotics are used. Many HHD regimens are used clinically, this study modeled ten common HHD regimens and determined optimal vancomycin and daptomycin dosing for each HHD regimen. METHODS: Monte Carlo simulations using pharmacokinetic data derived from the literature and demographic data from a large HHD program treating patients with end stage kidney disease were incorporated into a one-compartment pharmacokinetic model. Virtual vancomycin and daptomycin doses were administered post-HHD and drug exposures were determined in 5,000 virtual patients receiving ten different HHD regimens. Serum concentration monitoring with subsequent dose changes was incorporated into the vancomycin models. Pharmacodynamic target attainment rates were determined for each studied dose. The lowest possible doses that met predefined targets in virtual patients were chosen as optimal doses. RESULTS: HHD frequency, total dialysate volumes and HHD durations influenced drug exposure and led to different dosing regimens to meet targets. Antibiotic dosing regimens were identified that could meet targets for 3- and 7-h HHD regimens occurring every other day or 4-5 days/week. HHD regimens with 3-day interdialytic periods required higher doses prior to the 3-day period. The addition of vancomycin serum concentration monitoring allowed for calculation of necessary dosing changes which increased the number of virtual subjects meeting pharmacodynamic targets. CONCLUSIONS: Doses of vancomycin and daptomycin that will meet desired pharmacodynamic targets in HHD are dependent on patient and HHD-specific factors. Doses used in conventional thrice weekly hemodialysis are unlikely to meet treatment goals. The antibiotic regimens paired with the HHD parameters studied in this analysis are likely to meet goals but require clinical validation.

System-Level Strategies to Improve Home Dialysis: Policy Levers and Quality Initiatives.

Advocacy and policy change are powerful levers to improve quality of care and better support patients on home dialysis. While the kidney community increasingly recognizes the value of home dialysis as an option for patients who prioritize independence and flexibility, only a minority of patients dialyze at home in the United States. Complex system-level factors have restricted further growth in home dialysis modalities, including limited infrastructure, insufficient staff for patient education and training, patient-specific barriers, and suboptimal physician expertise. In this article, we outline trends in home dialysis use, review our evolving understanding of what constitutes high-quality care for the home dialysis population (as well as how this can be measured), and discuss policy and advocacy efforts that continue to shape the care of US patients and compare them with experiences in other countries. We conclude by discussing future directions for quality and advocacy efforts.