The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
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 [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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Cites
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The Beaver Dam Health Outcomes study
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The MDS-CHESS scale: a new measure to predict mortality in institutionalized older people
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“CHESS has been shown to predict mortality and measure instability in clinical conditions in institutionalized individuals.(17) The conditions in CHESS include decline in cognitive status, decline in activities of daily living (ADL) function, dehydration, edema, shortness of breath, vomiting, end-stage disease, leaves…”
BackgroundFryback, D. G., Dunham, N. C., Palta, M., Hanmer, J., Buechner, J., Cherepanov, D., Herrington, S., Hays, R. D., Kaplan, R. M., Ganiats, T. G., et al. (2007) · Medical Care · doi:10.1097/mlr.0b013e31814848f1 · Cited by 453
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A National Catalog of Preference-Based Scores for Chronic Conditions in the United States
Sullivan, P. W., Lawrence, W. F., & Ghushchyan, V. (2005) · Medical Care · doi:10.1097/01.mlr.0000172050.67085.4f · Cited by 388
Introducing economic and quality of life measurements into clinical studies
Drummond, M. (2001) · Annals of Medicine · doi:10.3109/07853890109002088 · Cited by 321
Cited by
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Hilari, K., Needle, J. J., & Harrison, K. (2011) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2011.05.028 · Cited by 320
Neuroplasticity of Language Networks in Aphasia: Advances, Updates, and Future Challenges
Kiran, S., & Thompson, C. K. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00295 · Cited by 250
Language impairment in Alzheimer's disease and benefits of acetylcholinesterase inhibitors
Ferris, S. H., & Farlow, M. R. (2013) · Clinical Interventions in Aging · doi:10.2147/cia.s39959 · Cited by 181
Current Approaches to the Treatment of Post-Stroke Aphasia
Fridriksson, J., & Hillis, A. E. (2021) · Journal of Stroke · doi:10.5853/jos.2020.05015 · Cited by 172
Paulsen, J. S., Nance, M., Kim, J.-I., Carlozzi, N. E., Panegyres, P. K., Erwin, C., Goh, A., McCusker, E., & Williams, J. K. (2013) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.08.003 · Cited by 168
Metadata
- 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 › Medicine › Geriatrics and Gerontology › 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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