Journal
JOURNAL OF PERSONALIZED MEDICINE
Volume 12, Issue 12, Pages -Publisher
MDPI
DOI: 10.3390/jpm12122080
Keywords
preference-based measure; health-related quality of life; HIV; patient-reported outcome measure; patient-generated index
Funding
- ViiV Healthcare
- Merck
- Gilead
- Quebec's Ministry of Health for researchers in Family Medicine
- Canadian Institutes of Health Research (CIHR) [TCO-125272]
- CIHR HIV Clinical Trials Network [CTN 273]
- Canadian Institutes for Health Research (CIHR), Strategy for Patient-Oriented Research (SPOR) Mentorship Chair in Innovative Clinical Trials in HIV
- Partnerships to Improve HIV Outcomes and Treatments (PIHVOT) from ViiV Healthcare Canada
- Canadian Institutes of Health Research (Quebec SPOR Support Unit) [M006]
- Canadian HIV Trials Network, Canadian Institutes of Health Research [CTN 283]
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This study aimed to develop a preference-based health-related quality of life measure for HIV patients. Through an analysis of data from the Canadian Positive Brain Health Now cohort, seven independent dimensions were identified, and a scoring system was developed that takes into account patient's health status across different dimensions.
(1) Background: The aim of this project was to develop a short, HIV-specific, health-related quality of life measure with a scoring system based on patient preferences for the different dimensions of the Preference-Based HIV Index (PB-HIV). (2) Methods: This study is a cross-sectional analysis of data from the Canadian Positive Brain Health Now cohort (n = 854; mean age 53 years). Items from the standardized measures were mapped to the areas from the Patient-Generated Index and formed the domains. A Rasch analysis was used to identify the best performing item to represent each dimension. Each item was then regressed on self-rated health (scored 0 to 100) and the regression parameters were used as scaling weights to form an index score for the prototype measure. (3) Results: Seven independent dimensions with three declarative statements ordered as response options formed the PB-HIV Index (pain, fatigue, memory/concentration, sleep, physical appearance/body image, depression, motivation). Regression parameters from a multivariable model yielded a measure with a scoring range from 0 (worst health) to 100 (perfect health). (4) Conclusions: Preference-based measures are optimal, as the total score reflects gains in some dimensions balanced against losses in others. The PB-HIV Index is the first HIV-specific preference-based measure.
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