NCT06257134

Brief Summary

In France, end-stage renal disease (ESRD) affects almost 170 people per million inhabitants every year, and 92,500 people are treated by dialysis or kidney transplantation (0.14% of the French population). The treatment of chronic renal failure is extremely costly: 4 billion euros in 2021, i.e. 2% of health insurance expenditure, and an annual cost of 42,000 euros per patient. The health-related quality of life (HRQoL) of dialysis patients is low, with reports of patients at 40%-60% of full health. In France, there has been a significant decrease in physical (-15.4 points) and mental (-6.9 points) component scores compared with the general population. Dialysis patients often present severe or overwhelming symptoms, which contribute to this poor HRQoL. However, in nephrology, studies have focused on survival and laboratory biomarkers, and very few interventions have been aimed at improving what was a priority for patients, i.e. treating their symptoms and improving their HRQoL. Opportunities to intervene and improve symptom management and overall HRQoL may therefore have been missed. Ignoring patients' symptoms is an important omission. Of 28 randomized trials in primary care and oncology that measured the impact of communicating patient-reported outcomes to clinicians, 65% showed improved care processes and 47% improved health outcomes. The results of two recent randomized trials in oncology suggest that symptom monitoring can improve HRQoL and overall survival. There is no evidence for dialysis patients, although therapeutic solutions are available in most cases. Nephrology teams do not sufficiently recognize the prevalence, severity and negative effects of symptoms in their patients, and patients under-report their symptoms. With systematic symptom screening and automatic transmission of symptoms in the form of alerts, dialysis staff will be able to react and implement routine management to alleviate patients' symptoms. The F-SWIFT study evaluates the hypothesis that regular symptom monitoring and feedback to hemodialysis patients and their dialysis staff improves patient HRQoL at 18 months. In addition, the trial aims to determine whether electronic capture of patient-reported outcomes within a national dialysis patient registry is feasible and cost-effective, evaluated using consumption data from the Système National des données de Santé (SNDS) medico-administrative database. F-SWIFT is the French part of an international project (SWIFT) initiated in Australia in 2021: Australian New Zealand Clinical Trials Registry #ACTRN12620001061921. This French part is funded by Inserm's AAP MESSIDORE 2022. F-SWIFT is also the continuation of the pilot study n° 2021-A00776-35 accepted by the CPP EST II on 19/10/2021 and financed by the Agence de la Biomédecine (AOR 2021) in the RIPH3 category.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
2,293

participants targeted

Target at P75+ for not_applicable

Timeline
7mo left

Started Feb 2026

Shorter than P25 for not_applicable

Geographic Reach
1 country

3 active sites

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress29%
Feb 2026Dec 2026

First Submitted

Initial submission to the registry

December 23, 2023

Completed
2 months until next milestone

First Posted

Study publicly available on registry

February 13, 2024

Completed
2 years until next milestone

Study Start

First participant enrolled

February 6, 2026

Completed
7 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 15, 2026

Expected
3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 15, 2026

Last Updated

February 13, 2026

Status Verified

February 1, 2026

Enrollment Period

7 months

First QC Date

December 23, 2023

Last Update Submit

February 11, 2026

Conditions

Keywords

SymptomsQuality of lifeIPOS-RenalDialysis unitsePROMSTabletsRedCAP

Outcome Measures

Primary Outcomes (1)

  • Health-related quality of life over 12 months, measured by the physical health score of the validated Kidney Disease and Quality of Life™ Short Form (KDQoL-36) questionnaire.

    KDQoL-36 Short form assesses quality of life over the past 4 weeks. Physical health score ranges from 0=Worst quality of life to 100=Best quality of life

    12 months

Secondary Outcomes (12)

  • Respondents' perceptions of the impact of the system's implementation and changes in practices

    3 months

  • 12-month survival measured using REIN registry data

    12 months

  • Questionnaire completion rates for different arms and periods.

    12 months

  • Severity of symptoms measured using the IPOS Renal (Integrated Palliative Outcome Score Renal) questionnaires

    18 months

  • Severity of symptoms measured using the SONG fatigue (Stadardised Outcomes in NephroloGy Fatigue) questionnaires

    18 months

  • +7 more secondary outcomes

Study Arms (2)

Control group

OTHER

Patients in the control group will complete three HRQoL questionnaires every six months via a digital tablet during their dialysis session.

Other: No systematic monitoring of symptoms

Experimental group

EXPERIMENTAL

Every three months, patients in the experimental group will have their symptoms systematically recorded using the IPOS-Renal questionnaire via a digital tablet during their dialysis session.

Other: Systematic monitoring of symptoms

Interventions

once a month, individual patient scores will be sent to dialysis staff. Any score of 3 (severe symptoms) or 4 (overwhelming) on a scale of 0 to 4, on the IPOS-Renal instrument, will be permanently reported to the referrer to trigger the patient's usual symptom management. Patients will complete 3 further HRQoL questionnaires at baseline, M6, M12 and M18: EQ-5D-5L, KDQoL-36, SONG Fatigue. A clinical research nurse will be present in half of the participating dialysis units to help patients and dialysis teams to include and follow up patients, up to 12 months. Between 12 and 18 months, data will be collected in "real life", under the guidance of local healthcare teams. In the other half of the dialysis units, data will be collected under the direction of the local healthcare teams, who will have to organize themselves to ensure data collection. These units will also be asked to conduct semi-structured interviews as part of the qualitative phase.

Experimental group

No systematic monitoring of symptoms will be carried out, and patients will receive the usual care. Data collection will be carried out with the assistance of a clinical research nurse up to 12 months, then under the direction of local healthcare teams at 18 months.

Control group

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Symptom collection phase
  • Individuals who have received full information on the organization of the research and who have not objected to their participation and to the use of their data.
  • Adults aged 18 and over
  • Patients with end-stage renal disease treated by dialysis in participating dialysis units
  • Patients able to answer questionnaires
  • Process evaluation phase
  • Individuals who have received full information on the organization of the research and who have not objected to their participation and to the use of their data.
  • Patients with end-stage renal disease treated by dialysis in participating dialysis units.
  • Doctors and nurses working in the dialysis unit taking part in the study.

You may not qualify if:

  • Minors
  • Patients under legal protection, guardianship or curatorship
  • Patient not communicating or unable to give consent
  • Patient not being treated in a dialysis unit participating in the study
  • Patients being treated temporarily in a participating dialysis unit (respite care, vacationers, etc.)
  • Patient with cognitive disorders
  • Patient unable or unwilling to answer questionnaires
  • Non-voluntary healthcare professional
  • Healthcare professional not working in the participating facility

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (3)

Maison du Rein AURAD Aquitaine

Gradignan, 33171, France

NOT YET RECRUITING

ALTIR

Vandœuvre-lès-Nancy, 54 500, France

RECRUITING

CHRU Nancy

Vandœuvre-lès-Nancy, 54500, France

RECRUITING

Related Publications (17)

  • Wyld M, Morton RL, Hayen A, Howard K, Webster AC. A systematic review and meta-analysis of utility-based quality of life in chronic kidney disease treatments. PLoS Med. 2012;9(9):e1001307. doi: 10.1371/journal.pmed.1001307. Epub 2012 Sep 11.

    PMID: 22984353BACKGROUND
  • Janssen DJ, Spruit MA, Wouters EF, Schols JM. Daily symptom burden in end-stage chronic organ failure: a systematic review. Palliat Med. 2008 Dec;22(8):938-48. doi: 10.1177/0269216308096906. Epub 2008 Sep 18.

    PMID: 18801874BACKGROUND
  • Tong A, Chando S, Crowe S, Manns B, Winkelmayer WC, Hemmelgarn B, Craig JC. Research priority setting in kidney disease: a systematic review. Am J Kidney Dis. 2015 May;65(5):674-83. doi: 10.1053/j.ajkd.2014.11.011. Epub 2015 Jan 10.

    PMID: 25582284BACKGROUND
  • You AS, Kalantar SS, Norris KC, Peralta RA, Narasaki Y, Fischman R, Fischman M, Semerjian A, Nakata T, Azadbadi Z, Nguyen DV, Kalantar-Zadeh K, Rhee CM. Dialysis symptom index burden and symptom clusters in a prospective cohort of dialysis patients. J Nephrol. 2022 Jun;35(5):1427-1436. doi: 10.1007/s40620-022-01313-0. Epub 2022 Apr 16.

    PMID: 35429297BACKGROUND
  • Fletcher BR, Damery S, Aiyegbusi OL, Anderson N, Calvert M, Cockwell P, Ferguson J, Horton M, Paap MCS, Sidey-Gibbons C, Slade A, Turner N, Kyte D. Symptom burden and health-related quality of life in chronic kidney disease: A global systematic review and meta-analysis. PLoS Med. 2022 Apr 6;19(4):e1003954. doi: 10.1371/journal.pmed.1003954. eCollection 2022 Apr.

    PMID: 35385471BACKGROUND
  • Kalantar-Zadeh K, Lockwood MB, Rhee CM, Tantisattamo E, Andreoli S, Balducci A, Laffin P, Harris T, Knight R, Kumaraswami L, Liakopoulos V, Lui SF, Kumar S, Ng M, Saadi G, Ulasi I, Tong A, Li PK. Patient-centred approaches for the management of unpleasant symptoms in kidney disease. Nat Rev Nephrol. 2022 Mar;18(3):185-198. doi: 10.1038/s41581-021-00518-z. Epub 2022 Jan 3.

    PMID: 34980890BACKGROUND
  • Raghavan D, Holley JL. Conservative Care of the Elderly CKD Patient: A Practical Guide. Adv Chronic Kidney Dis. 2016 Jan;23(1):51-6. doi: 10.1053/j.ackd.2015.08.003.

    PMID: 26709063BACKGROUND
  • Davison SN, Levin A, Moss AH, Jha V, Brown EA, Brennan F, Murtagh FE, Naicker S, Germain MJ, O'Donoghue DJ, Morton RL, Obrador GT; Kidney Disease: Improving Global Outcomes. Executive summary of the KDIGO Controversies Conference on Supportive Care in Chronic Kidney Disease: developing a roadmap to improving quality care. Kidney Int. 2015 Sep;88(3):447-59. doi: 10.1038/ki.2015.110. Epub 2015 Apr 29.

    PMID: 25923985BACKGROUND
  • Greenham L, Bennett PN, Dansie K, Viecelli AK, Jesudason S, Mister R, Smyth B, Westall P, Herzog S, Brown C, Handke W, Palmer SC, Caskey FJ, Couchoud C, Simes J, McDonald SP, Morton RL. The Symptom Monitoring with Feedback Trial (SWIFT): protocol for a registry-based cluster randomised controlled trial in haemodialysis. Trials. 2022 May 19;23(1):419. doi: 10.1186/s13063-022-06355-0.

    PMID: 35590395BACKGROUND
  • Viecelli AK, Duncanson E, Bennett PN, D'Antoine M, Dansie K, Handke W, Tong A, Palmer S, Jesudason S, McDonald S, Morton RL; Symptom Monitoring With Feedback Trial (SWIFT) Investigators. Perspectives of Patients, Nurses, and Nephrologists About Electronic Symptom Monitoring With Feedback in Hemodialysis Care. Am J Kidney Dis. 2022 Aug;80(2):215-226.e1. doi: 10.1053/j.ajkd.2021.12.007. Epub 2022 Jan 25.

    PMID: 35085687BACKGROUND
  • Basch E, Deal AM, Dueck AC, Scher HI, Kris MG, Hudis C, Schrag D. Overall Survival Results of a Trial Assessing Patient-Reported Outcomes for Symptom Monitoring During Routine Cancer Treatment. JAMA. 2017 Jul 11;318(2):197-198. doi: 10.1001/jama.2017.7156.

    PMID: 28586821BACKGROUND
  • Basch E, Deal AM, Kris MG, Scher HI, Hudis CA, Sabbatini P, Rogak L, Bennett AV, Dueck AC, Atkinson TM, Chou JF, Dulko D, Sit L, Barz A, Novotny P, Fruscione M, Sloan JA, Schrag D. Symptom Monitoring With Patient-Reported Outcomes During Routine Cancer Treatment: A Randomized Controlled Trial. J Clin Oncol. 2016 Feb 20;34(6):557-65. doi: 10.1200/JCO.2015.63.0830. Epub 2015 Dec 7.

    PMID: 26644527BACKGROUND
  • Lockwood MB, Lash JP, Pauls H, Chung SY, Samra M, Ryan C, Park C, DeVon H, Bronas UG. Physical Symptom Cluster Subgroups in Chronic Kidney Disease. Nurs Res. 2020 Mar/Apr;69(2):100-108. doi: 10.1097/NNR.0000000000000408.

    PMID: 31714343BACKGROUND
  • Abdel-Kader K, Unruh ML, Weisbord SD. Symptom burden, depression, and quality of life in chronic and end-stage kidney disease. Clin J Am Soc Nephrol. 2009 Jun;4(6):1057-64. doi: 10.2215/CJN.00430109. Epub 2009 May 7.

    PMID: 19423570BACKGROUND
  • Kalantar-Zadeh K, Li PK, Tantisattamo E, Kumaraswami L, Liakopoulos V, Lui SF, Ulasi I, Andreoli S, Balducci A, Dupuis S, Harris T, Hradsky A, Knight R, Kumar S, Ng M, Poidevin A, Saadi G, Tong A; World Kidney Day Steering Committee. Living well with kidney disease by patient and care-partner empowerment: Kidney health for everyone everywhere. Saudi J Kidney Dis Transpl. 2021 Mar-Apr;32(2):289-297. doi: 10.4103/1319-2442.335439.

    PMID: 35017321BACKGROUND
  • Jais JP, Lobbedez T, Couchoud C. [Survival of patients with End Stage Kidney Disease]. Nephrol Ther. 2023 Aug 28;18(S2):35-39. doi: 10.1016/S1769-7255(22)00565-X. French.

    PMID: 37638506BACKGROUND
  • Vaismoradi M, Turunen H, Bondas T. Content analysis and thematic analysis: Implications for conducting a qualitative descriptive study. Nurs Health Sci. 2013 Sep;15(3):398-405. doi: 10.1111/nhs.12048. Epub 2013 Mar 11.

    PMID: 23480423BACKGROUND

MeSH Terms

Conditions

Kidney Failure, Chronic

Condition Hierarchy (Ancestors)

Renal Insufficiency, ChronicRenal InsufficiencyKidney DiseasesUrologic DiseasesFemale Urogenital DiseasesFemale Urogenital Diseases and Pregnancy ComplicationsUrogenital DiseasesMale Urogenital DiseasesChronic DiseaseDisease AttributesPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Francis GUILLEMIN, MD, PhD

    Centre d'Investigation Clinique - Epidémiologie Clinique 1433

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
OTHER
Intervention Model
PARALLEL
Model Details: F-SWIFT is a large-scale, multi-center, randomized controlled trial (qualitative and quantitative) nested in a national registry. Experimental group * Quarterly measurement for 18 months of patients' symptoms using the IPOS-Renal questionnaire, which will be systematically reported to professionals. * Measurement every 6 months for 18 months of patients' health-related HRQoL using the EQ-5D-5L, KDQoL-36 and SONG-Fatigue questionnaires. Control group * No systematic symptom monitoring will be organized, and patients will receive usual care. * Measurement of health-related HRQoL every 6 months for 18 months, using the EQ-5D-5L, KDQoL-36 and SONG-Fatigue questionnaires. The F-SWIFT project includes a process analysis to underpin the transferability of F-SWIFT in the event of proven effectiveness with a view to large-scale deployment.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

December 23, 2023

First Posted

February 13, 2024

Study Start

February 6, 2026

Primary Completion (Estimated)

September 15, 2026

Study Completion (Estimated)

December 15, 2026

Last Updated

February 13, 2026

Record last verified: 2026-02

Data Sharing

IPD Sharing
Will not share

Locations