The Relationship of 60 Disease Diagnoses and 15 Conditions to Preference-Based Health-Related Quality of Life in Ontario Hospital-Based Long-Term Care Residents
Abstract
BACKGROUND: Population-based diagnosis- and condition-specific health-related quality of life (HRQoL) scores are required for decision-making and research purposes. These HRQoL scores do not exist for hospital-based long-term care (LTC) residents. OBJECTIVE: To estimate the impact of 60 diseases and 15 conditions on caregiver-assessed preference-based HRQoL. METHODS: Residents in hospital-based LTC facilities in Ontario, Canada were identified from administrative databases containing resident minimum data set (MDS) assessments completed between August 1st, 2003 and March 31st, 2008. A preference-based HRQoL measure, the MDS Health-Status Index (MDS-HSI) score, was calculated for 66,193 residents. Average MDS-HSI scores and multivariate linear regression models were used to estimate the impact of the diagnoses and conditions, respectively. RESULTS: After adjusting for age, sex, and other diagnoses, aphasia exhibited the largest negative relationship to the MDS-HSI (-0.085), followed by cancer (-0.072) and Alzheimer disease (-0.062). Cancer was also the second most prevalent diagnosis (27.6%). Lack of balance was a common condition (87.3%) and it had the greatest negative relationship to MDS-HSI scores among the 15 conditions (-0.099). The diagnoses and conditions regression models had R values of 0.12 and 0.34, respectively, suggesting that clinical conditions provided better explanatory variables for the MDS-HSI than diagnoses. CONCLUSIONS: The findings suggest that diseases affect preference-based HRQoL differently in a hospital-based LTC population compared with previous studies in the general population. The population-based MDS-HSI scores from this study can be used as reference values in cost-effectiveness analyses for hospital-based LTC populations.
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Aphasia has profound consequences for a person's quality of life.
“Aphasia has profound consequences for a person’s quality of life [3, 4, 5].”
From Evaluating the Benefits of Aphasia Intervention Delivered in Virtual Reality: Results of a Quasi-Randomised Study (2016) · cites this paper as [5]
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- Authors
- Lam, J. M. C., & Wodchis, W. P.
- Affiliations
- University of Toronto (CA)
- Corresponding author
- Lam, Jonathan M. C.
- Wodchis, Walter P.
- ORCID
- Wodchis, Walter P.
- Venue
- Medical Care
- Published
- 2010-04
- Volume
- 48
- Issue
- 4
- Pages
- 380-387
- ISSN
- 0025-7079 (ISSN-L)
- OpenAlex
- W1987557314
- Cited by
- 272
- References
- 31
- Citations by year
- 2026: 26 · 2025: 34 · 2024: 25 · 2023: 34 · 2022: 28 · 2021: 26 · 2020: 26 · 2019: 13 · 2018: 9 · 2017: 15 · 2016: 8 · 2015: 12 · 2014: 4 · 2013: 5 · 2012: 5
- FWCI
- 6.84
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Medical Care (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Canadian Institutes of Health Research
- Topics
- Health Sciences › Health Professions › General Health Professions › Geriatric Care and Nursing Homes
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
- Keywords
- health-related quality of life, clinical conditions, aphasia, cancer, Alzheimer's disease, balance disorders
- MeSH terms
- Aged, Aged, 80 and over, Disease, Female, Health Status Indicators, Hospitals, Humans, Long-Term Care, Male, Middle Aged, Ontario, Quality of Life, Residential Facilities, Databases as Topic, Patient Preference
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