Longitudinal construct validity of the minimum data set health status index

TitleLongitudinal construct validity of the minimum data set health status index
Publication TypeJournal Article
Year of Publication2018
AuthorsJones A, Feeny D, Costa AP
JournalHealth and quality of life outcomes
Volume16
Issue1
Pagination102-102
ISBN Number1477-7525
Accession Number29793491
Keywords*Health Status Indicators, *Quality of Life, Accidental Falls/statistics & numerical data, Activities of Daily Living, Aged, Aged, 80 and over, Caregivers/psychology/statistics & numerical data, Cognitive Dysfunction/epidemiology, community care, Cross-Sectional Studies, Female, Geriatric Assessment/methods, Health-related quality of life, home care, Home Care Services/*statistics & numerical data, Humans, Longitudinal construct validity, Longitudinal Studies, Male, Ontario/epidemiology, Retrospective Studies
Abstract

BACKGROUND: The Minimum Data Set Health Status Index (MDS-HSI) is a generic, preference-based health-related quality of life (HRQOL) measure derived by mapping items from the Resident Assessment Instrument - Minimum Data Set (RAI-MDS) assessment onto the Health Utilities Index Mark 2 classification system. While the validity of the MDS-HSI has been examined in cross-sectional settings, the longitudinal validity has not been explored. The objective of this study was to investigate the longitudinal construct validity of the MDS-HSI in a home care population. METHODS: This study utilized a retrospective cohort of home care patients in the Hamilton-Niagara-Haldimand-Brant health region of Ontario, Canada with at least two RAI-MDS Home Care assessments between January 2010 and December 2014. Convergent validity was assessed by calculating Spearman rank correlations between the change in MDS-HSI and changes in six validated indices of health domains that can be calculated from the RAI-MDS assessment. Known-groups validity was investigated by fitting multivariable linear regression models to estimate the mean change in MDS-HSI associated with clinically important changes in the six health domain indices and 15 disease symptoms from the RAI-MDS Home Care assessment, controlling for age and sex. RESULTS: The cohort contained 25,182 patients with two RAI-MDS Home Care assessments. Spearman correlations between the MDS-HSI change and changes in the health domain indices were all statistically significant and in the hypothesized small to moderate range [0.1 < ρ < 0.5]. Clinically important changes in all of the health domain indices and 13 of the 15 disease symptoms were significantly associated with clinically important changes in the MDS-HSI. CONCLUSIONS: The findings of this study support the longitudinal construct validity of the MDS-HSI in home care populations. In addition to evaluating changes in HRQOL among home care patients in clinical research, economic evaluation, and health technology assessment, the MDS-HSI may be used in system-level applications using routinely collected population-level data.

URLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5968493/
DOI10.1186/s12955-018-0932-9
PMCID

PMC5968493

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Alternate JournalHealth Qual Life Outcomes