Assessing responsiveness of generic and specific health related quality of life measures in heart failure

BackgroundResponsiveness, or sensitivity to clinical change, is an important consideration in selection of a health-related quality of life (HRQL) measure for trials or clinical applications. Many approaches can be used to assess responsiveness, which may affect the interpretation of study results. We compared the relative responsiveness of generic and heart failure specific HRQL instruments, as measured both by common psychometric indices and by external clinical criteria.MethodsWe analyzed data collected at baseline and 6-weeks in 298 subjects with heart failure on the following HRQL measures: EQ-5D (US, UK, and VAS Scoring), Kansas City Cardiomyopathy Questionnaire (KCCQ) (Clinical and Overall Summary Score), and RAND12 (Physical and Mental Component Summaries). Three external indicators of clinical change were used to classify subjects as improved, deteriorated, or unchanged: 6-minute walk test, New York Heart Association (NYHA) class, and physician global rating of change. Four responsiveness statistics (T-test, effect size, Guyatt's responsiveness statistic, and standardized response mean) were used to evaluate the responsiveness of the select measures. The median rank of each HRQL measure across responsiveness indices and clinical criteria was then determined.ResultsAverage age of subjects was 60 years, 75 percent were male, and had moderate to severe heart failure symptoms. Overall, the KCCQ Summary Scores had the highest relative ranking, irrespective of the responsiveness index or external criterion used. Importantly, we observed that the relative ranking of responsiveness of the generic measures (i.e. EQ-5D, RAND12) was influenced by both the responsive indices and external criterion used.ConclusionThe disease specific KCCQ was the most responsive HRQL measure assessing change over a 6-week period, although generic measures provide information for which the KCCQ is not suitable. The responsiveness of generic HRQL measures may be affected by the index used, as well as the external criterion to classify patients who have clinically change or remained stable.

[1]  Stephen Joel Coons,et al.  US Valuation of the EQ-5D Health States: Development and Testing of the D1 Valuation Model , 2005, Medical care.

[2]  J. Spertus,et al.  Development and evaluation of the Kansas City Cardiomyopathy Questionnaire: a new health status measure for heart failure. , 2000, Journal of the American College of Cardiology.

[3]  P. Dolan,et al.  Modeling valuations for EuroQol health states. , 1997, Medical care.

[4]  C. Mackenzie,et al.  Can the Sickness Impact Profile measure change? An example of scale assessment. , 1986, Journal of chronic diseases.

[5]  N. Aaronson,et al.  Health-related quality-of-life assessments and patient-physician communication: a randomized controlled trial. , 2002, JAMA.

[6]  D. Osoba,et al.  Measuring health-related quality of life. , 1999, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[7]  D. Osoba What has been learned from measuring health-related quality of life in clinical oncology. , 1999, European journal of cancer.

[8]  Jenny Morris,et al.  The use of quality of life data in clinical practice , 2004, Quality of Life Research.

[9]  Galina Velikova,et al.  Measuring quality of life in routine oncology practice improves communication and patient well-being: a randomized controlled trial. , 2004, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[10]  W. V. D. van den Heuvel,et al.  Psychometric properties of the Minnesota Living with Heart Failure Questionnaire (MLHF-Q) , 2001, Clinical rehabilitation.

[11]  J. Spertus,et al.  Effects of sustained audit/feedback on self-reported health status of primary care patients. , 2004, The American journal of medicine.

[12]  S. Grénman,et al.  Clinical outcomes and costs with the levonorgestrel-releasing intrauterine system or hysterectomy for treatment of menorrhagia: randomized trial 5-year follow-up. , 2004, JAMA.

[13]  Ron D. Hays,et al.  Quality of life measures in epilepsy , 2000, Neurology.

[14]  L. Tavazzi,et al.  Relationship between psychological profile and cardiological variables in chronic heart failure. The role of patient subjectivity. , 1999, European heart journal.

[15]  G H Guyatt,et al.  Determining a minimal important change in a disease-specific Quality of Life Questionnaire. , 1994, Journal of clinical epidemiology.

[16]  Jeffrey A. Johnson,et al.  Performance of the RAND-12 and SF-12 summary scores in type 2 diabetes , 2004, Quality of Life Research.

[17]  Gordon H Guyatt,et al.  Methods to explain the clinical significance of health status measures. , 2002, Mayo Clinic proceedings.

[18]  G W Torrance,et al.  Incorporating Utility-Based Quality-of-Life Assessment Measures in Clinical Trials: Two Examples , 1989, Medical care.

[19]  E. Antman,et al.  ACC/AHA PRACTICE GUIDELINES ACC/AHA Guidelines for the Evaluation and Management of Chronic Heart Failure in the Adult: Executive Summary , 2002 .

[20]  R. Deyo,et al.  Generic and Disease-Specific Measures in Assessing Health Status and Quality of Life , 1989, Medical care.

[21]  R A Deyo,et al.  Reproducibility and responsiveness of health status measures. Statistics and strategies for evaluation. , 1991, Controlled clinical trials.

[22]  Nan Luo,et al.  Valuations of EQ-5D Health States: Are the United States and United Kingdom Different? , 2005, Medical care.

[23]  G. Guyatt,et al.  Comparative responsiveness of generic and specific quality-of-life instruments. , 2003, Journal of clinical epidemiology.

[24]  C. Terwee,et al.  On assessing responsiveness of health-related quality of life instruments: Guidelines for instrument evaluation , 2003, Quality of Life Research.

[25]  N. Leidy,et al.  Effect of Domperidone on the Health-Related Quality of Life of Patients With Symptoms of Diabetic Gastroparesis , 1998, Diabetes Care.

[26]  G. Guyatt,et al.  The 6-minute walk: a new measure of exercise capacity in patients with chronic heart failure. , 1985, Canadian Medical Association journal.

[27]  H. Krumholz,et al.  Monitoring clinical changes in patients with heart failure: a comparison of methods. , 2005, American heart journal.