TY - JOUR
T1 - Patterns of responses on health-related quality of life questionnaires among patients with HIV/AIDS
AU - Kudel, Ian
AU - Farber, Stacey L.
AU - Mrus, Joseph M.
AU - Leonard, Anthony C.
AU - Sherman, Susan N.
AU - Tsevat, Joel
N1 - Funding Information:
This study was funded by the Health Services Research & Development Service, Department of Veterans Affairs (Grant #ECI 01-195) and by the National Center for Complementary and Alternative Medicine (Grant #1 R01 AT01147). Dr. Tsevat is supported by a National Center for Complementary and Alternative Medicine award (Grant #K24 AT001676); Dr. Mrus was supported by a Department of Veterans Affairs Health Services Research & Development Research Career Development Award (Grant #RCD-01011-2) at the time this study was conducted; and Drs. Tsevat and Mrus are or were supported by an AIDS Clinical Trials Unit grant from the National Institute of Allergy and Infectious Diseases (Grant #U01 AI 25897). Dr. Mrus was employed at GlaxoSmithKline at the time this manuscript was submitted.
PY - 2006/12
Y1 - 2006/12
N2 - BACKGROUND: Health-related quality of life (HRQoL) has become an important facet of HIV/AIDS research. Typically, the unit of analysis is either the total instrument score or subscale score. Developing a typology of responses across various HRQoL measures, however, may advance understating of patients' perspectives. METHODS: In a multicenter study, we categorized 443 patients' responses on utility measures (time-tradeoff, standard gamble, and rating scale) and the HIV/AIDS-Targeted Quality of Life (HAT-QoL) scale by using latent profile analysis to empirically derive classes of respondents. We then used linear regressions to identify whether class membership is associated with clinical measures (viral load, CD4, time since diagnosis, highly active antiretroviral therapy [HAART]) and psychosocial function (depressed mood, alcohol use, religious coping). RESULTS: Six classes were identified. Responses across the HAT-QoL subscales tended to fall into 3 groupings - high functioning (Class 1), moderate functioning (Classes 2 and 3), and low functioning (Classes 4 to 6); utility measures further distinguished individuals among classes. Regression analyses comparing those in Class 1 with those in the other 5 found significantly more symptoms of depression, negative religious coping strategies, and lower CD4 counts among subjects in Class 1. Those in Class 5 had been diagnosed with HIV longer, and members of Class 6 reported significantly less alcohol consumption, had higher viral loads, and were more likely to receive HAART. CONCLUSION: Patients with HIV respond differentially to various types of HRQoL measures. Health status and utility measures are thus complementary approaches to measuring HRQoL in patients with HIV.
AB - BACKGROUND: Health-related quality of life (HRQoL) has become an important facet of HIV/AIDS research. Typically, the unit of analysis is either the total instrument score or subscale score. Developing a typology of responses across various HRQoL measures, however, may advance understating of patients' perspectives. METHODS: In a multicenter study, we categorized 443 patients' responses on utility measures (time-tradeoff, standard gamble, and rating scale) and the HIV/AIDS-Targeted Quality of Life (HAT-QoL) scale by using latent profile analysis to empirically derive classes of respondents. We then used linear regressions to identify whether class membership is associated with clinical measures (viral load, CD4, time since diagnosis, highly active antiretroviral therapy [HAART]) and psychosocial function (depressed mood, alcohol use, religious coping). RESULTS: Six classes were identified. Responses across the HAT-QoL subscales tended to fall into 3 groupings - high functioning (Class 1), moderate functioning (Classes 2 and 3), and low functioning (Classes 4 to 6); utility measures further distinguished individuals among classes. Regression analyses comparing those in Class 1 with those in the other 5 found significantly more symptoms of depression, negative religious coping strategies, and lower CD4 counts among subjects in Class 1. Those in Class 5 had been diagnosed with HIV longer, and members of Class 6 reported significantly less alcohol consumption, had higher viral loads, and were more likely to receive HAART. CONCLUSION: Patients with HIV respond differentially to various types of HRQoL measures. Health status and utility measures are thus complementary approaches to measuring HRQoL in patients with HIV.
KW - AIDS
KW - HIV
KW - Health-related quality of life
KW - Latent profile analysis
KW - Utility
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U2 - 10.1111/j.1525-1497.2006.00645.x
DO - 10.1111/j.1525-1497.2006.00645.x
M3 - Article
C2 - 17083500
AN - SCOPUS:33750457014
SN - 0884-8734
VL - 21
SP - S48-S55
JO - Journal of General Internal Medicine
JF - Journal of General Internal Medicine
IS - SUPPL. 5
ER -