Evidence map›Paper›PMID 23613285›Full record

ArticleThe patient2013

Validation of the English version of the Kidney Disease Quality of Life questionnaire (KDQOL-36) in haemodialysis patients in Singapore.

Fan Yang, Vivian Wei Wang, Veena Dhananjay Joshi, Titus Wai Leong Lau, Nan Luo

Abstract readValidation Study
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In one paragraph

Article in The patient, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  12. Mapping the kidney disease quality of life 36-item short form survey (KDQOL-36) to the EQ-5D-3L and the EQ-5D-5L in patients undergoing dialysis.The European journal of health economics : HEPAC : health economics in prevention and care · 2019
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  14. The impact of axial spondyloarthritis on quality of life (QoL): a comparison with the impact of moderate to end-stage chronic kidney disease on QoL.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018
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  19. Comparison of the preference-based EQ-5D-5L and SF-6D in patients with end-stage renal disease (ESRD).The European journal of health economics : HEPAC : health economics in prevention and care · 2015
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  20. Health-related quality of life of Asian patients with end-stage renal disease (ESRD) in Singapore.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Fan YangSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Vivian Wei Wang
Veena Dhananjay Joshi
Titus Wai Leong Lau
Nan Luo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo validate a widely used health outcomes instrument for patients with chronic kidney disease and on dialysis, the Kidney Disease Quality of Life questionnaire (KDQOL-36), in English-speaking haemodialysis patients in Singapore.

methodsThis study is a secondary data analysis using the KDQOL-SF (version 1.3) data collected from a cross-sectional survey of haemodialysis patients in Singapore. Cronbach's α was used to test internal consistency reliability. Multi-item scales were assessed using item-to-scale correlation and factor analysis. Both confirmatory and exploratory factor analyses were performed separately for generic and disease-targeted scales. Construct validity was assessed by correlation between disease-targeted and generic scales. Criterion validity was assessed by correlation of the physical component summary (PCS-12) and mental component summary (MCS-12) from KDQOL-36 with the corresponding PCS-36 and MCS-36 from the KDQOL-SF.

resultsThree hundred ninety-four patients who completed the interviews in English [male 55.8 %, mean age (SD) 52.4 (11.7) years] were involved. Kidney disease scales exhibited desirable internal consistency (Cronbach's α 0.822-0.906) and item-to-scale correlation (range 0.763-0.903), and a three-factor model fit the data well [comparative fit index (CFI) 0.934, root mean square error of approximation (RMSEA) 0.085]. For the generic Short Form 12 Health Survey (SF-12) items, a two-factor model (physical and mental) showed poor overall fit, but a three-factor structure (role, physical and mental functions) achieved good model fit (CFI 0.999, RMSEA 0.027). Correlation between disease-targeted and generic scales was weak to moderate (range 0.286-0.418). Correlation between SF-12 and SF-36 was 0.750 for PCS and 0.797 for MCS.

conclusionThe English version of the KDQOL-36 appears to be reliable and valid to measure quality of life for haemodialysis patients in Singapore.

Indexed as

Quality of LifeRenal DialysisSurveys and QuestionnairesCross-Sectional StudiesFactor Analysis, StatisticalFemaleHumansKidney Failure, ChronicMaleMiddle AgedPsychometricsReproducibility of ResultsSingaporeTreatment Outcome

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.