The DOI matches its Crossref record; 57 of the 58 references it cites were found in a registry or an index.
Health utilities in people with chronic pain using a population-level survey and linked health care administrative data
Abstract
Health utilities are a preference-based measure of health-related quality of life that facilitates comparison of disease burden across conditions. We estimated utilities using a population-based, matched sample of adolescents and adults with and without chronic pain, controlling for comorbidity. Ontarians aged ≥12 years with and without chronic pain were identified from the Canadian Community Health Survey (CCHS) 2000-2001 and 2009-2010 and linked to their provincial health care administrative data. Individuals with chronic pain were matched to those without using age, sex, survey year, and a propensity score for having chronic pain estimated from a rurality index, income quintile, and comorbidity. The Health Utilities Index Mark 3 instrument, included in the Canadian Community Health Survey, was used. Mean utilities were calculated for each group. Utility decrement for chronic pain was also calculated for each matched pair. A total of 65,246 responses were available for analysis. After matching, there were 12,146 matched pairs with and without pain. In the matched cohort, mean age was 54 years (SD 12); 61% were female. The matched cohort with chronic pain had a mean utility of 0.59 (95% confidence interval 0.58-0.59), and the decrement associated with chronic pain was 0.32 (95% confidence interval 0.31-0.32). Utilities in people with chronic pain were lower than, and decrements larger than, those seen with most other chronic diseases including heart disease, diabetes, and chronic obstructive pulmonary disease. These data will be useful to inform priorities and future strategies for the prevention and control of chronic pain.
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“Health-related quality of life of Ontarians with chronic pain is lower than that reported by people with most other chronic diseases, including heart disease, diabetes, and chronic obstructive pulmonary disease.2”
From Chronic postsurgical pain: From risk factor identification to multidisciplinary management at the Toronto General Hospital Transitional Pain Service (2019) · cites this paper as [2]
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Cites
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Survey of chronic pain in Europe: Prevalence, impact on daily life, and treatment
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Matching Methods for Causal Inference: A Review and a Look Forward
Stuart, E. A. (2010) · Statistical Science · doi:10.1214/09-sts313 · Cited by 5,478
The Economic Costs of Pain in the United States
Gaskin, D. J., & Richard, P. (2012) · The Journal of Pain · doi:10.1016/j.jpain.2012.03.009 · Cited by 2,359
RELIEVING PAIN IN AMERICA: A BLUEPRINT FOR TRANSFORMING PREVENTION, CARE, EDUCATION, AND RESEARCH
Simon, L. S. (2012) · Journal of Pain & Palliative Care Pharmacotherapy · doi:10.3109/15360288.2012.678473 · Cited by 2,200
Murray, C. J. L., Barber, R. M., Foreman, K. J., Özgören, A. A., Abd-Allah, F., Abera, S. F., Aboyans, V., Abraham, J. P., Abubakar, I., Abu-Raddad, L. J., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(15)61340-x · Cited by 1,966
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Martin, B. I. (2008) · JAMA · doi:10.1001/jama.299.6.656 · Cited by 1,531
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Horsman, J., Furlong, W. J., Feeny, D. F., & Torrance, G. W. (2003) · Health and Quality of Life Outcomes · doi:10.1186/1477-7525-1-54 · Cited by 1,345
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Guideline for opioid therapy and chronic noncancer pain
Busse, J. W., Craigie, S., Juurlink, D. N., Buckley, D. N., Wang, L., Couban, R. J., Agoritsas, T., Akl, E. A., Carrasco-Labra, A., Cooper, L., et al. (2017) · Canadian Medical Association Journal · doi:10.1503/cmaj.170363 · Cited by 707
New generation psychological treatments in chronic pain
McCracken, L. M., Yu, L., & Vowles, K. E. (2022) · BMJ · doi:10.1136/bmj-2021-057212 · Cited by 123
Katz, J., Weinrib, A. Z., & Clarke, H. (2019) · Canadian Journal of Pain · doi:10.1080/24740527.2019.1574537 · Cited by 87
“with chronic pain is lower than that reported by people with most other chronic diseases, including heart disease, diabetes, and chronic obstructive pulmonary disease.(2) The annual incremental medical cost to man-”
BackgroundSelf-citationJust how much does it cost? A cost study of chronic pain following cardiac surgery
Guertin, J. R., Pagé, M. G., Tarride, J., Talbot, D. C., Watt‐Watson, J., & Choinière, M. (2018) · Journal of Pain Research · doi:10.2147/jpr.s175090 · Cited by 29
The Effect of Psychological Interventions on the Prevention of Chronic Pain in Adults
Berube, M., Martorella, G., Côté, C. L., Gélinas, C., Feeley, N., Choinière, M., Parent, S., & Streiner, D. L. (2021) · Clinical Journal of Pain · doi:10.1097/ajp.0000000000000922 · Cited by 22
“We reported outcomes according to 3 different time intervals: (1) ≥3 months after pain onset, (3) ≥ 6 months after pain onset, and (4) ≥ 12 months after pain onset.”
Method
Metadata
- Authors
- Hogan, M.-E., Taddio, A., Katz, J., Shah, V., & Krahn, M.
- Affiliations
- University of Toronto (CA)
- York University (CA)
- Mount Sinai Hospital (CA)
- Corresponding author
- Hogan, Mary-Ellen
- Venue
- Pain
- Published
- 2016-11-24
- Volume
- 158
- Issue
- 3
- Pages
- 408-416
- ISSN
- 0304-3959 (ISSN-L)
- 1872-6623
- OpenAlex
- W2557364676
- Cited by
- 30
- References
- 58
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 2 · 2023: 4 · 2022: 3 · 2021: 3 · 2019: 3 · 2018: 4 · 2017: 4
- FWCI
- 7.12
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Pain (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Canadian Institutes of Health Research
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Health Systems, Economic Evaluations, Quality of Life
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Musculoskeletal pain and rehabilitation
- Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
- Keywords
- health utility, chronic pain, health-related quality of life, Health Utilities Index Mark 3, disease burden, comorbidities, adolescents, adults, Ontario, Canadian Community Health Survey
- MeSH terms
- Adolescent, Adult, Aged, Algorithms, Canada, Child, Delivery of Health Care, Female, Health Services, Health Services Administration, Health Status Indicators, Health Surveys, Humans, Male, Middle Aged, Quality of Life, Cohort Studies, Databases, Factual, Mood Disorders, Young Adult, Chronic Pain
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