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      Prevalence of multimorbidity in adults with cancer, and associated health service utilization in Ontario, Canada: a population-based retrospective cohort study

      research-article
      1 , , 2
      BMC Cancer
      BioMed Central
      Cancer, Multimorbidity, Chronic disease, Health service utilization, Mortality

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          Abstract

          Background

          The majority of people with cancer have at least one other chronic health condition. With each additional chronic disease, the complexity of their care increases, as does the potential for negative outcomes including premature death. In this paper, we describe cancer patients’ clinical complexity (i.e., multimorbidity; MMB) in order to inform strategic efforts to improve care and outcomes for people with cancer of all types and commonly occurring chronic diseases.

          Methods

          We conducted a population-based, retrospective cohort study of adults diagnosed with cancer between 2003 and 2013 ( N = 601,331) identified in Ontario, Canada healthcare administrative data. During a five to 15-year follow-up period (through March 2018), we identified up to 16 co-occurring conditions and patient outcomes for the cohort, including health service utilization and death.

          Results

          MMB was extremely common, affecting more than 91% of people with cancer. Nearly one quarter (23%) of the population had five or more co-occurring conditions. While we saw no differences in MMB between sexes, MMB prevalence and level increased with age. MMB prevalence and type of co-occurring conditions also varied by cancer type. Overall, MMB was associated with higher rates of health service utilization and mortality, regardless of other patient characteristics, and specific conditions differentially impacted these rates.

          Conclusions

          People with cancer are likely to have at least one other chronic medical condition and the presence of MMB negatively affects health service utilization and risk of premature death. These findings can help motivate and inform health system advances to improve care quality and outcomes for people with cancer and MMB.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12885-021-08102-1.

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          Most cited references46

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          Falling through the cracks: challenges and opportunities for improving transitional care for persons with continuous complex care needs.

          Persons with continuous complex care needs frequently require care in multiple settings. During transitions between settings, this population is particularly vulnerable to experiencing poor care quality and problems of care fragmentation. Despite how common these transitions have become, the challenges of improving care transitions have received little attention from policy makers, clinicians, and quality improvement entities. This article begins with a definition of transitional care and then discusses the nature of the problem, its prevalence, manifestations of poorly executed transitions, and potentially remediable barriers. Necessary elements for effective transitions are then presented, followed by promising new directions for quality improvement at the level of the delivery system, information technology, and national health policy. The article concludes with a proposed research agenda designed to advance the science of high-quality transitional care.
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            Managing patients with multimorbidity in primary care.

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              A systematic review of prevalence studies on multimorbidity: toward a more uniform methodology.

              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. 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. 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. 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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                Author and article information

                Contributors
                akonepe@lakeheadu.ca
                dscharf1@lakeheadu.ca
                Journal
                BMC Cancer
                BMC Cancer
                BMC Cancer
                BioMed Central (London )
                1471-2407
                14 April 2021
                14 April 2021
                2021
                : 21
                : 406
                Affiliations
                [1 ]GRID grid.258900.6, ISNI 0000 0001 0687 7127, Department of Health Sciences, , Lakehead University, ; 955 Oliver Rd, Thunder Bay, ON P7B 5E1 Canada
                [2 ]GRID grid.258900.6, ISNI 0000 0001 0687 7127, Department of Psychology, , Lakehead University, ; 955 Oliver Rd, Thunder Bay, ON P7B 5E1 Canada
                Article
                8102
                10.1186/s12885-021-08102-1
                8048167
                33397301
                ab04a73e-afd5-403c-a30b-720742958f5a
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 23 December 2020
                : 24 March 2021
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2021

                Oncology & Radiotherapy
                cancer,multimorbidity,chronic disease,health service utilization,mortality
                Oncology & Radiotherapy
                cancer, multimorbidity, chronic disease, health service utilization, mortality

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