The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
A Systematic Review of Prevalence Studies on Multimorbidity: Toward a More Uniform Methodology
Open accessAbstract
PURPOSE: We sought to identify and compare studies reporting the prevalence of multimorbidity and to suggest methodologic aspects to be considered in the conduct of such studies. METHODS: We searched the literature for English- and French-language articles published between 1980 and September 2010 that described the prevalence of multimorbidity in the general population, in primary care, or both. We assessed quality of included studies with a modified version of the Strengthening the Reporting of Observational Studies in Epidemiology checklist. Results of individual prevalence studies were adjusted so that they could be compared graphically. RESULTS: The final sample included 21 articles: 8 described studies conducted in primary care, 12 in the general population, and 1 in both. All articles were of good quality. The largest differences in prevalence of multimorbidity were observed at age 75 in both primary care (with prevalence ranging from 3.5% to 98.5% across studies) and the general population (with prevalence ranging from 13.1% to 71.8% across studies). Apart from differences in geographic settings, we identified differences in recruitment method and sample size (primary care: 980-60,857 patients; general population: 1,099-316,928 individuals), data collection, and the operational definition of multimorbidity used, including the number of diagnoses considered (primary care: 5 to all; general population: 7 to all). This last aspect seemed to be the most important factor in estimating prevalence. CONCLUSIONS: Marked variation exists among studies of the prevalence of multimorbidity with respect to both methodology and findings. When undertaking such studies, investigators should carefully consider the specific diagnoses included and their number, as well as the operational definition of multimorbidity.
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Vandenbroucke, J. P., von Elm, E., Altman, D. G., Gøtzsche, P. C., Mulrow, C. D., Pocock, S. J., Poole, C., Schlesselman, J. J., & Egger, M. (2007) · Epidemiology · doi:10.1097/ede.0b013e3181577511 · Cited by 2,779
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Prevalence of multimorbidity among adults seen in family practice
Fortin, M. (2005) · The Annals of Family Medicine · doi:10.1370/afm.272 · Cited by 987
Self-citationMultimorbidity in primary care: prevalence and trend over the last 20 years
Uijen, A. A., & van de Lisdonk, E. H. (2008) · European Journal of General Practice · doi:10.1080/13814780802436093 · Cited by 505
Prevalence of chronic diseases and multimorbidity among the elderly population in Sweden
Marengoni, A., Winblad, B., Karp, A., & Fratiglioni, L. (2008) · American Journal of Public Health · doi:10.2105/ajph.2007.121137 · Cited by 429
Prevalence and patterns of multimorbidity in Australia
Britt, H. C., Harrison, C. M., Miller, G. C., & Knox, S. A. (2008) · Medical Journal of Australia · doi:10.5694/j.1326-5377.2008.tb01919.x · Cited by 402
Cited by
Violan, C., Foguet-Boreu, Q., Flores-Mateo, G., Salisbury, C., Blom, J., Freitag, M., Glynn, L., Muth, C., & Valderas, J. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0102149 · Cited by 1,125
Multimorbidity in Older Adults With Cardiovascular Disease
Forman, D. E., Maurer, M. S., Boyd, C., Brindis, R., Salive, M. E., Horne, F. M., Bell, S. P., Fulmer, T., Reuben, D. B., Zieman, S., et al. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2018.03.022 · Cited by 484
“The NIA has also funded several initiatives to improve understanding and care of patients with multimorbidity, including support for the Health Care Systems Research Network (9), which consists of several large health care systems, diverse health care delivery models, and the Claude D. Pepper Older American Independen…”
BackgroundInfluentialSocioeconomic status and multimorbidity: a systematic review and meta‐analysis
Pathirana, T. I., & Jackson, C. A. (2018) · Australian and New Zealand Journal of Public Health · doi:10.1111/1753-6405.12762 · Cited by 475
Evidence on multimorbidity from definition to intervention: An overview of systematic reviews
Xu, X., Mishra, G. D., & Jones, M. (2017) · Ageing Research Reviews · doi:10.1016/j.arr.2017.05.003 · Cited by 397
Methods for identifying 30 chronic conditions: application to administrative data
Tonelli, M., Wiebe, N., Fortin, M., Guthrie, B., Hemmelgarn, B. R., James, M. T., Klarenbach, S. W., Lewanczuk, R., Manns, B. J., Ronksley, P., et al. (2016) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-015-0155-5 · Cited by 400
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Metadata
- Authors
- Fortin, M., Stewart, M., Poitras, M.-E., Almirall, J., & Maddocks, H.
- Venue
- The Annals of Family Medicine
- Publisher
- Annals of Family Medicine
- Published
- 2012-03-01
- Volume
- 10
- Issue
- 2
- Pages
- 142-151
- ISSN
- 1544-1709 (ISSN-L)
- 1544-1717
- OpenAlex
- W2102195380
- Cited by
- 1,135
- References
- 10
- FWCI
- 6.60
- Type
- journal article
- Language
- en
- Open access
- diamond
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