The DOI matches its Crossref record; 102 of the 106 references it cites were found in a registry or an index.
Understanding the Context of Health for Persons With Multiple Chronic Conditions: Moving From What Is the Matter to What Matters
Open accessAbstract
PURPOSE: An isolated focus on 1 disease at a time is insufficient to generate the scientific evidence needed to improve the health of persons living with more than 1 chronic condition. This article explores how to bring context into research efforts to improve the health of persons living with multiple chronic conditions (MCC). METHODS: Forty-five experts, including persons with MCC, family and friend caregivers, researchers, policy makers, funders, and clinicians met to critically consider 4 aspects of incorporating context into research on MCC: key contextual factors, needed research, essential research methods for understanding important contextual factors, and necessary partnerships for catalyzing collaborative action in conducting and applying research. RESULTS: Key contextual factors involve complementary perspectives across multiple levels: public policy, community, health care systems, family, and person, as well as the cellular and molecular levels where most research currently is focused. Needed research involves moving from a disease focus toward a person-driven, goal-directed research agenda. Relevant research methods are participatory, flexible, multilevel, quantitative and qualitative, conducive to longitudinal dynamic measurement from diverse data sources, sufficiently detailed to consider what works for whom in which situation, and generative of ongoing communities of learning, living and practice. Important partnerships for collaborative action include cooperation among members of the research enterprise, health care providers, community-based support, persons with MCC and their family and friend caregivers, policy makers, and payers, including government, public health, philanthropic organizations, and the business community. CONCLUSION: Consistent attention to contextual factors is needed to enhance health research for persons with MCC. Rigorous, integrated, participatory, multimethod approaches to generate new knowledge and diverse partnerships can be used to increase the relevance of research to make health care more sustainable, safe, equitable and effective, to reduce suffering, and to improve quality of life.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Indeed, a panel of comorbidity experts recently identified understanding contextual factors, such as patients ' relationships, values, and goals, as a vital paradigm shift in the treatment of patients with multiple chronic conditions [77].”
From Acceptance and Commitment Therapy: A Transdiagnostic Behavioral Intervention for Mental Health and Medical Conditions. (2017) · cites this paper as [77]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Gioia, D. A., Mehra, A., & Weick, K. E. (1996) · Academy of Management Review · doi:10.2307/259169 · Cited by 15,616
The Need for a New Medical Model: A Challenge for Biomedicine
Engel, G. L. (1977) · Science · doi:10.1126/science.847460 · Cited by 12,887
Barnett, K., Mercer, S. W., Norbury, M., Watt, G., Wyke, S., & Guthrie, B. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60240-2 · Cited by 6,972
The clinical application of the biopsychosocial model
ENGEL, G. L. (1980) · American Journal of Psychiatry · doi:10.1176/ajp.137.5.535 · Cited by 3,345
Realist review - a new method of systematic review designed for complex policy interventions
Pawson, R., Greenhalgh, T., Harvey, G., & Walshe, K. (2005) · Journal of Health Services Research & Policy · doi:10.1258/1355819054308530 · Cited by 3,190
Effectiveness and efficiency of guideline dissemination and implementation strategies
Grimshaw, J., Thomas, R., MacLennan, G., Fraser, C., Ramsay, C., Vale, L., Whitty, P., Eccles, M., Matowe, L., Shirran, L., et al. (2004) · Health Technology Assessment · doi:10.3310/hta8060 · Cited by 3,044
The challenge of complexity in health care
Plsek, P. E., & Greenhalgh, T. (2001) · BMJ · doi:10.1136/bmj.323.7313.625 · Cited by 2,578
External validity of randomised controlled trials: “To whom do the results of this trial apply?”
Rothwell, P. M. (2005) · The Lancet · doi:10.1016/s0140-6736(04)17670-8 · Cited by 2,544
Defining Comorbidity: Implications for Understanding Health and Health Services
Valderas, J. M., Starfield, B. H., Sibbald, B., Salisbury, C., & Roland, M. O. (2009) · The Annals of Family Medicine · doi:10.1370/afm.983 · Cited by 1,730
The biopsychosocial model 25 years later: principles, practice, and scientific inquiry
Borrell-Carrio, F. (2004) · The Annals of Family Medicine · doi:10.1370/afm.245 · Cited by 1,546
Research works printed but not linked: 2
- Fortin M, Soubhi H, Hudon C, Bayliss EA, van den Akker M. Multi- morbidity's many challenges. BMJ. 2007;334(7602):1016-1017.
- National Research Council (US) Committee on A Framework for Developing a New Taxonomy of Disease. Toward Precision Medicine: Building a Knowledge Network for Biomedical Research and a New Tax- onomy of Disease. Washington, DC: National Academy Press; 2011.
Cited by
Sorted by citations
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
Self-citationDindo, L., Van Liew, J. R., & Arch, J. J. (2017) · Neurotherapeutics · doi:10.1007/s13311-017-0521-3 · Cited by 371
Boyd, C. M., Smith, C. D., Masoudi, F. A., Blaum, C. S., Dodson, J. A., Green, A. R., Kelley, A. S., Matlock, D. D., Ouellet, J. A., Rich, M. W., et al. (2019) · Journal of the American Geriatrics Society · doi:10.1111/jgs.15809 · Cited by 330
Self-citationTinetti, M. E., Naik, A. D., Dindo, L. N., Costello, D. M., Esterson, J., Geda, M. E., Rosen, J. D., Hernandez‐Bigos, K., Smith, C. D., Ouellet, G. M., et al. (2019) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2019.4235 · Cited by 284
The SELFIE framework for integrated care for multi-morbidity: Development and description
Leijten, F., Struckmann, V., van Ginneken, E., Czypionka, T., Kraus, M., Reiss, M., Tsiachristas, A., Boland, M. R. S., Bont, A. A. D., Bal, R. A., et al. (2017) · Health Policy · doi:10.1016/j.healthpol.2017.06.002 · Cited by 263
Metadata
- Authors
- Bayliss, E. A., Bonds, D. E., Boyd, C. M., Davis, M. M., Finke, B., Fox, M. H., Glasgow, R. E., Goodman, R. A., Heurtin-Roberts, S., Lachenmayr, S., Lind, C., Madigan, E. A., Meyers, D. S., Mintz, S., Nilsen, W. J., Okun, S., Ruiz, S., Salive, M. E., & Stange, K. C.
- Affiliations
- Centers for Disease Control and Prevention (US)
- ORCID
- Venue
- The Annals of Family Medicine
- Publisher
- Annals of Family Medicine
- Published
- 2014-05-01
- Volume
- 12
- Issue
- 3
- Pages
- 260-269
- ISSN
- 1544-1709 (ISSN-L)
- 1544-1717
- PMC
- PMC4018375
- OpenAlex
- W2149582914
- Cited by
- 225
- References
- 106
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 6 · 2023: 15 · 2022: 16 · 2021: 25 · 2020: 64 · 2019: 17 · 2018: 11 · 2017: 17 · 2016: 13 · 2015: 15 · 2014: 14
- FWCI
- 14.86
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- The Annals of Family Medicine (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- American Cancer Society
- Centers for Disease Control and Prevention
- Agency for Healthcare Research and Quality
- Topics
- Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
- Health Sciences › Health Professions › General Health Professions › Health Policy Implementation Science
- Health Sciences › Health Professions › General Health Professions › Health, psychology, and well-being
- Keywords
- multimorbidity, research collaboration, participatory research, research agenda, health care system, health policy, learning communities, research relevance, quality of life
- MeSH terms
- Chronic Disease, Cooperative Behavior, Health Services Research, Humans, Research, Comorbidity, Biomedical Research
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review