Quality of Life Research

, Volume 9, Issue 2, pp 195–205

Assessment of quality of life in a single centre dialysis population using the KDQOL-SFTm questionnaire

  • P. Carmichael
  • J. Popoola
  • I. John
  • P.E. Stevens
  • A.R. Carmichael
Article

DOI: 10.1023/A:1008933621829

Cite this article as:
Carmichael, P., Popoola, J., John, I. et al. Qual Life Res (2000) 9: 195. doi:10.1023/A:1008933621829

Abstract

Health-related quality of life (HRQOL) is a valid marker of outcome for chronic dialysis therapy. A wide range of questionnaires are now available which assess different aspects of an individual's health. Appreciation of those factors that contribute to explaining HRQOL items remains poorly defined. The development of disease-specific questionnaires such as KDQOL-SFTm, should allow for such questions to be better answered. A cross-sectional analysis of our chronic dialysis population was made using the KDQOL-SFTm questionnaire. By multiple linear regression analysis demographic, clinical and dialysis-related factors were assessed for their contribution to the HRQOL in this population. The HRQOL of these patients was also compared against a general population sample. From a total of 190 chronic dialysis patients, 146 completed the KDQOL-SFTm questionnaire. The haemodialysis (HD) and peritoneal dialysis (PD) patients were similar with respect to most demographic, clinical and dialysis variables except for haemoglobin and albumin which were significantly (p < 0.05) greater in the peritoneal and haemodialysis populations respectively. Compared to the general population, the HRQOL of dialysis patients was impaired for all SF-36 subscales. Use of the disease-specific components of KDQOL-SFTm discriminated between dialysis modality for our dialysis population. Multiple linear regression analysis demonstrated that 27.5 to 42.7% of the variance in the SF-36 subscales could be explained. Satisfactory sleep, dialysis related symptoms, effect of kidney disease on lifestyle and burden of kidney disease were found to be the most important determinants of HRQOL for this population.

Chronic dialysis KDQOL-SFTm Regression analysis 

Copyright information

© Kluwer Academic Publishers 2000

Authors and Affiliations

  • P. Carmichael
    • 1
  • J. Popoola
    • 1
  • I. John
    • 1
  • P.E. Stevens
    • 1
  • A.R. Carmichael
    • 2
  1. 1.Department of Renal MedicineKent & Canterbury HospitalCanterburyUK
  2. 2.Department of SurgeryMedway Maritime HospitalKentUK

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