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Kidney Disease Quality of Life Short Form (KDQOL-SF)

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Created 2004 January 15
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Practical Information

Instrument Name:

Kidney Disease Quality of Life Short Form (KDQOL-SF)

Instrument Description:

The KDQOL-SF assesses the quality of life of patients with kidney disease. This is accomplished with 43 disease-specific items, 36 generic items and an overall health-ranking item. (Ref: 1) This totals 80 items with 12 disease-specific scales and 8 generic scales and is a short form of the 134-item KDQOL. (Ref: 4) Items of the KDQOL-SF are arranged in these subscales:

Kidney Disease-specific items
Symptom/problem list
Effects of kidney disease
Burden of kidney disease
Work status
Cognitive function
Quality of social interaction
Sexual function
Sleep
Social support
Dialysis staff encouragement
Patient satisfaction
Overall health rating

Generic items
Physical functioning
General health
Pain
Role-physical
Emotional well-being
Role-emotional
Social function
Energy/fatigue

The instrument also contains 14 items regarding background information. Patients are asked to reveal previous hospitalization information, medication taken, specific disease information, education level, gender, race, employment, insurance, income and aid with questionnaire administration. (Ref: 1) The instrument also contains 14 items regarding background information. Patients are asked to reveal previous hospitalization information, medication taken, specific disease information, education level, gender, race, employment, insurance, income and aid with questionnaire administration. (Ref: 1)

Developers used the Goodnight R-Squared improvement procedure to create the KDQOL-SF. This procedure analyzed the KDQOL to find the item per subscale that produces the largest R-value. Items are added one by one until the over all R-Squared value per subscale is at least 0.89. (Ref: 1) To enhance content validity, the developers added additional items: 6 symptoms items, three effects of kidney disease items, one burden of kidney disease item and one item addressing the ability to work full time. (Ref: 1) Lastly, some items were reworded in order to provide better clarity.

Price:

Free, with RAND acknowledgement. See “Research Contacts” for availability.

Administration Time:

16 minutes. (Ref: 1)

Publication Year:

1997

Item Readability:

The Flesch-Kincaid reading score is 5.6, which means that a patient reading at 5-6th grade level should not have any complications reading the instrument.

Scale Format:

The measure uses a combination of dichotomous scales, yes/no responses and likert-type scales. (Ref: 1)

Administration Technique:

The scale is designed to be self-administered, but if the patient has trouble reading, a family member or the researcher may help the patient.

Scoring and Interpretation:

Items are precoded with numeric values, such that some items display higher numbers as favorable heath status and other responses display the lower numbers as better health status. These raw scores are transformed to scale scores between 0-100, with the higher scores always reflecting better health status. Each subsection requires a different equation to convert raw scores to scaled scores (subsections have different numbers of items). The last step requires averaging the scaled scores per subscale to obtain a single subscale score. Items that are skipped by the participant is not scored, and hence, not included in the scoring process. (Ref: 1)

Forms:

There are two known forms of the KDQOL. These are the original form with 134 items and the short form with 80 items. (Ref: 4) The KDQOL-SF is also translated in French, Dutch, Spanish, Italian, German, and Japanese. (Ref: 2-3, http://www.gim.med.ucla.edu/kdqol/)

Research Contacts

Instrument Developers:

Ron D Hays, Joel D Kallich, Donna L Mapes, Stephen J Coons, Naseem Amin, William B Carter and Caren Kamberg

The RAND Corporation is copyright holder and makes the KDQOL-SF available free of charge with proper acknowledgment of RAND. (Ref: http://www.gim.med.ucla.edu/kdqol/)

Instrument Development Location:

1700 Main Street
P.O. Box 2138
Santa Monica, CA 90407-2138

Instrument Developer Email:

kdqol@rand.org

Instrument Developer Website:

www.gim.med.ucla.edu/kdqol/

Annotated Bibliography

1. Hays RD, Kallich JD, Mapes DL, Coons SJ,Amin N, Carter WB, Kamberg C. Kidney Disease Quality of Life Short Form (KDQOL-SF), version 1.3: A manual for use and scoring. RAND 1997. [No PMID]
Purpose: This is the KDQOL-SF manual, provides a description of the content of the instrument and its scoring and interpretation. Developers compared the KDQOL to the KDQOL-SF.
Sample: One hundred and sixty five individuals were involved in the study.
Methods: Developers used Goodnight’s R-squared procedure to determine the items per subscale that produced a combined R-value for 0.89 or greater. In order to cross-validate the R-square estimates, the developers used a split-half sample to compare the correlation between the KDQOL and the KDQOL-SF.
Implications: No information found.

2. Perneger TV, Leski M, Chopard-Stoermann C, Martin P-Y. Assessment of health status in chronic hemodialysis patients. J Nephrology 2003;16(2):252-9. [PMID:12768073]
Purpose: To assess the differences in scores of the general population to patients with kidney disease and compare the generic SF-36 measure to the KDQOL-SF in assessing patients with kidney disease.
Sample: Patients with End Stage Renal Disease were selected from a list provided by four dialysis centers and a group of individuals, representing the general population (Switzerland), was selected from a resident list. Demographics of the general population group were controlled by using the stratified sampling scheme to obtain an equivalent number of individuals in regards to sex and each decade of life between the ages of 20-79. The general population consisted of 1250 individuals with an average age of 49.6 years, 51% were men. Patients with kidney disease totaled 83 individuals and had a mean age of 60 years, 63% were men.
Methods: Patients received the KDQOL-SF survey and individuals representing the general population were mailed the SF-36 to complete. Participants who did not understand French or were too sick to complete the survey were excluded from the study.
Implications: Researchers noted that there is a distinguishable difference between dialysis patients and the general population in regards to general and physical health, with an exception to mental health. Scores reported on the SF-36 generic measure confirmed this. Furthermore, researchers noted a strong association between dialysis-specific measures and the mental summary score. This indicates that generic measures may overlook important health concerns.

3. Korevaar JC, Merkus MP, Jansen MAM, Dekker FW, Boeschoten EW, Krediet RT for the NECOSAD-study group. Validation of the KDQOL-SF: a dialysis-targeted health measure. Qual Life Res 2002 Aug;11(5):437-47. [PMID:12113391]
Purpose: To assess the validity and reliability of the KDQOL-SF in Dutch dialysis patients and to detect its sensitivity clinical change over time.
Sample: This study comprised of 375 dialysis patients (The Netherlands) with a mean age of 60 years. There were 61% male participants and 75% of the individuals had high/intermediate education levels.
Methods: Individuals were included in the study if they were new End Stage Renal Disease patients and were 18 years of age or older. Eligible participants received the KDQOL-SF and a generic HRQOL, EuroQol. Renal nurses distributed the questionnaires with a return envelope. This was distributed three months and twelve months after the beginning of dialysis treatment. Patients were instructed to return the surveys to the office after one week of its receipt.
Implications: Psychometric results were not impressive in two subscales of the KDQOL-SF measure: work status and quality of social interaction. Work status results may be affected due to the age of the participants. A younger group may have changed the results.

4. Bakewell AB, Higgins RM, Edmunds ME. Does ethnicity influence perceived quality of life of patients on dialysis and following renal transplant? Nephrol Dial Transplant 2001;16:1395-1401. [PMID:11427631]
Purpose: To determine if quality of life is affected by treatment methods and ethnicity.
Sample: One hundred twenty patients were selected to participate in the study. Subjects (UK) were separated into three treatment groups: peritoneal dialysis, haemodialysis and transplant. Within each group, there were 20 Asian participants and 20 white participants. Mean ages ranged between 45 years (Asian patients in the transplant treatment group) and 53 years (White patients in the Haemodialysis group). The majority of the participants were male, with 13 out of 20 comprising the Asian and White Haemodialysis treatment group and the other treatments and ethnicities containing 13 males out of 20.
Methods: Asian patients on dialysis were recruited from The Renal Unit at Walsgrave Hospital. Researchers controlled for demographics by selecting the same number, gender and treatment types and selected a comparable European white dialysis patient. Patients were excluded if they were unwell, changed treatment modality within the last three months from the study, or were hospitalized within four weeks before the study.
Implications: Researchers reported that Asian patients had lower perceived quality of life that white patients. They also noted that social deprivation was higher in Asians than in whites. Furthermore, it was indicated that treatment modality, comorbidity and treatment adequacy among the groups were not significantly different.

5. Carmichael P, Popoola J, John I, Stevens PE, Carmichael AR. Assessment of quality of life in a single centre dialysis population using the KDQOL-SF questionnaire. Qual Life Res 2000 Mar;9(2):195-205. [PMID:10983483]
Purpose: To determine the factors that contributes to HRQOL of dialysis patients using the KDQOL-SF.
Sample: The study comprised of two groups: 49 hemodialysis patients and 97 peritoneal dialysis patients (UK). The hemodialysis group had a mean age of 57.8 years and 32 were male. The peritoneal group had a mean age of 57 years and 58 were male.
Methods: Patients were recruited from an end stage renal disease program. Eligibility requirements were that patients must be enrolled in the program for one month or more. Eligible patients received the KDQOL-SF in person or by mail.
Implications: This study supported other studies suggesting that the quality of life of dialysis patients was less than that of the general population. The researchers also mentioned that there were no differences between scores of patients above and below the age of 70 years. Lastly, the used of disease-specific measures has expressed the difference in treatment modality.

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Factors and Norms

Factor Analysis Work:

No information found

Normative Information Availability:

Studies compare the local general population to patients with kidney disease, but detailed information was not found regarding the general population. (Ref: 2)

Reliability Evidence

Test-retest:

No information found

Inter-rater:

N/A: self-report instrument.

Internal Consistency:

Developers reported alpha coefficients above the standard 0.70, with exception of Cognitive function (0.68) and quality of social interaction (0.61). (Ref: 1) Researchers studying a group of dialysis patients in Switzerland reported alpha values of 0.70 or higher on the KDQOL-SF subscales with the exception of work status (0.60) and quality of social interaction (0.44) subscales. (Ref: 2)

One study evaluating the Dutch KDQOL-SF used a standard of alpha values of 0.40 or greater to represent overlapping of item score and scale score. Results indicated that work status (0.26) and quality of social interaction (0.26), similar to the French version study, did not overlap the item score with the scale score. Researchers then compared the internal consistency of the Dutch version KDQOL-SF and the original US version. Alpha values for the Dutch version were over the standard 0.70, with the exception of work status, quality of social interaction and social support subscales. The US version was slightly different with alpha values above 0.80, except for cognitive function and quality of social interaction. (Ref: 3)

Alternate Forms:

No information found

Validity Evidence

Construct/ Convergent/ Discriminant:

One study used the F statistic to compare the SF-36 score of the general U.S. population to scores of patients with kidney disease. Researchers noted that all subscales, with the exception of mental health, were statistically significant (p < 0.001). (Ref: 2) Scores for patients with kidney disease were lower than the scores for the general population group. The KDQOL-SF was compared to the generic HRQOL measure, EuroQol. Researchers reported a positive correlation between the two measures. All subscales were statistically significant with the EuroQol overall health rating, p < 0.05, with the exception of the patient satisfaction subscale. (Ref: 3)

Criterion-related/ Concurrent/ Predictive:

The Spearman correlation technique was used to compare the physical and mental components of the SF-36 to the 12 subscales of the KDQOL-SF. Researchers found the only half of the KDQOL-SF subscales correlated with the physical component. Symptoms/problems and effects of kidney disease was significant p < 0.001 and burden of kidney disease, work status, cognitive function and overall health rating were significant, p < 0.05. All KDQOL-SF subscales correlated significantly to the mental component of the SF-36. Work status, sexual function, dialysis staff encouragement and patient were significant, p< 0.05 and the other were significant (p <0. 001). (Ref: 2) This indicates that there is a significant difference between the general population and patients with kidney disease, especially in the SF-36 physical function component. (Ref: 2)

A research study compared Asian and White patients on three different dialysis treatment modalities. Results revealed that there was no significant difference in physical health, mental health, targeted kidney disease scales and patient satisfaction scores in patients receiving haemodialysis treatment. However, researchers did report significant differences between the ethnic groups when assessing peritoneal dialysis and transplant treatment. Physical health (p=0.045), mental health (p=0.008) and kidney disease targeted (p=0.002) subscales revealed significant differences between ethnic group KDQOL-SF scores for patients undergoing peritoneal dialysis. The Asian population scored lower than the European White group. Scores on the patient satisfaction subscale were not significant. (Ref: 4) Scores of the ethnic groups undergoing the transplant procedure were all significantly different with p values ranging from 0.002 (kidney disease targeted) to 0.011 (patient satisfaction). Asian patients had lower scores in all subscales. (Ref: 4) Scores between treatment modalities were compared and transplant patients scored significantly lower on the KDQOL-SF than the dialysis groups in both ethnic groups. (Ref: 4) Researchers also compared comorbidity scores among the ethnic groups and results were not significant.

Similarly, another study compared scores of the SF-36 among a hemodialysis group, a peritoneal dialysis group and individuals representing the general population and found significant differences between the treatment groups and the general population (p< 0.05). Only the social functioning subscale revealed significant differences between the treatment modalities (p < 0.05). (Ref: 5) The researchers then compared scores of the KDQOL-SF among the peritoneal and hemodialysis patients. All items differed significantly (p < 0.01) between groups with the peritoneal group scoring higher on the dialysis-related symptoms, kidney disease effects, cognitive function, sleep and satisfaction with treatment subscales. (Ref: 5) The hemodialysis group scored higher on the kidney disease burden, social interaction and social support subscales. (Ref: 5)

Content:

No information found

Responsiveness Evidence:

Patients completed the KDQOL-SF three months after dialysis treatment and 12 months after treatment. The majority of scores between these periods declined, with the exception of burden of kidney disease, work status, role function physical and mental health. The changes in scores were all not significant. (Ref: 3) Researchers did report increasing significant scores in biological markers such as residual renal function and serum albumin levels. (Ref: 3)

Scale Application in VA Populations:

No information found

Scale Application in non-VA Populations:

Yes. (Ref: 1-5)

Comments


Much of the subsequent work with this instrument has been carried out in Europe, with two of the five studies reviewed having done translations. It is difficult to know what impact the translation had on differences in reliability between studies. Some of the reliability problems may have resulted from failure to respond or responding at the extremes of the scale. Much of the validity testing has involved correlating the KDQOL-SF with other non-specific measures of quality of life. These have produced consistent results.

While the instrument has shown sensitivity to treatment and disease status, its correlations with more objective measures of health status, while significant, are not particularly large, the maximum reported in Study 3 being 0.31. It is unclear to what extent differences between ethnic groups in disease specific quality of life was due to cultural differences in self-report behavior in general. Therefore, the most likely use for this instrument would be as an additional measure to assess the effects of different treatment regimens on quality of life or an examination of differences based on treatment modality.