Measuring quality of life in trials including patients on haemodialysis: methodological issues surrounding the use of the Kidney Disease Quality of Life Questionnaire

Author:

Worboys Hannah M1,Cooper Nicola J1,Burton James O2,Young Hannah M L345,Waheed Ghazala6,Fotheringham James7,Gray Laura J1

Affiliation:

1. Department of Health Sciences, University of Leicester , Leicester , UK

2. Department of Cardiovascular Sciences, University of Leicester , Leicester , UK

3. Leicester Diabetes Centre, University of Hospitals of Leicester NHS Trust , Leicester , UK

4. Diabetes Research Centre, College of Life Sciences, University of Leicester , Leicester, UK

5. Department of Respiratory Sciences, College of Life Sciences, University of Leicester , Leicester, UK

6. Leicester Clinical Trials Unit, University of Leicester , Leicester, UK

7. School of Health and Related Research, University of Sheffield , Sheffield , UK

Abstract

ABSTRACT Background Haemodialysis (HD) treatment causes a significant decrease in quality of life (QoL). When enrolled in a clinical trial, some patients are lost prior to follow-up because they die or they receive a kidney transplant. It is unclear how these patients are dealt with in the analysis of QoL data. There are questions surrounding the consistency of how QoL measures are used, reported and analysed. Methods A systematic search of electronic databases for trials measuring QoL in HD patients using any variation of the Kidney Disease Quality of Life (KDQoL) Questionnaire was conducted. The review was conducted in Covidence version 2. Quantitative analysis was conducted in Stata version 16. Results We included 61 trials in the review, of which 82% reported dropouts. The methods to account for missing data due to dropouts include imputation (7%) and complete case analysis (72%). Few trials (7%) conducted a sensitivity analysis to assess the impact of missing data on the study results. Single imputation techniques were used, but are only valid under strong assumptions regarding the type and pattern of missingness. There was inconsistency in the reporting of the KDQoL, with many articles (70%) amending the validated questionnaires or reporting only statistically significant results. Conclusions Missing data are not dealt with according to the missing data mechanism, which may lead to biased results. Inconsistency in the use of patient-reported outcome measures raises questions about the validity of these trials. Methodological issues in nephrology trials could be a contributing factor to why there are limited effective interventions to improve QoL in this patient group. PROSPERO Registration CRD42020223869

Funder

Vifor Pharma

National Institute for Health Research

Publisher

Oxford University Press (OUP)

Subject

Transplantation,Nephrology

Reference82 articles.

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3. Negative trials in nephrology: what can we learn?;Novak;Kidney Int,2008

4. Challenges in conducting clinical trials in nephrology: conclusions from a Kidney Disease-Improving Global Outcomes (KDIGO) Controversies Conference;Baigent;Kidney Int,2017

5. Psychometric properties of the Kidney Disease Quality of Life 36-Item Short-Form Survey (KDQOL-36) in the United States;Peipert;Am J Kidney Dis,2018

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