Cited by 168Chronic Disease Management StrategiesPharmaceutical Practices and Patient OutcomesHealthcare cost, quality, practices

Assessing the Burden of Treatment

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On behalf of the International Minimally Disruptive Medicine Workgroup, Spencer-Bonilla, Gabriela, Quiñones, Ana R., Montori, Victor M.·2017·Journal of General Internal Medicine

Abstract

Current healthcare systems and guidelines are not designed to adapt to care for the large and growing number of patients with complex care needs and those with multimorbidity. Minimally disruptive medicine (MDM) is an approach to providing care for complex patients that advances patients' goals in health and life while minimizing the burden of treatment. Measures of treatment burden assess the impact of healthcare workload on patient function and well-being. At least two of these measures are now available for use with patients living with chronic conditions. Here, we describe these measures and how they can be useful for clinicians, researchers, managers, and policymakers. Their work to improve the care of high-cost, high-use, complex patients using innovative patient-centered models such as MDM should be supported by periodic large-scale assessments of treatment burden.

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Research works printed but not linked: 21

  1. Salive ME. Multimorbidity in older adults. Epidemiol Rev. 2013;35:75-83.
  2. Banthin JS, Bernard DM. Changes in financial burdens for health care: national estimates for the population younger than 65 years, 1996 to 2003. JAMA. 2006;296(22):2712-2719.
  3. Wolff JL, Boyd CM. A Look at Person-and Family-Centered Care Among Older Adults: Results from a National Survey [corrected]. J Gen Intern Med. 2015;30(10):1497-1504.
  4. Kerr EA, Heisler M, Krein SL, et al. Beyond comorbidity counts: how do comorbidity type and severity influence diabetes patients' treatment priorities and self-management? J Gen Intern Med. 2007;22(12):1635- 1640.
  5. Tinetti ME, Fried TR, Boyd CM. Designing health care for the most common chronic condition-multimorbidity. JAMA. 2012;307(23):2493- 2494.
  6. Quinones AR, Markwardt S, Botoseneanu A. Multimorbidity Combina- tions and Disability in Older Adults. J Gerontol A Biol Sci Med Sci. 2016;71(6):823-830.
  7. May C, Montori VM, Mair FS. We need minimally disruptive medicine. BMJ. 2009;339:b2803.
  8. Haynes RB, McDonald HP, Garg AX. Helping patients follow prescribed treatment: clinical applications. JAMA. 2002;288(22):2880-2883.
  9. Shippee ND, Shah ND, May CR, Mair FS, Montori VM. Cumulative complexity: a functional, patient-centered model of patient complexity can improve research and practice. J Clin Epidemiol. 2012;65(10):1041- 1051.
  10. Leppin A, Montori V, Gionfriddo M. Minimally Disruptive Medicine: A Pragmatically Comprehensive Model for Delivering Care to Patients with Multiple Chronic Conditions. Healthcare. 2015;3(1):50.
  11. Ridgeway JL, Egginton JS, Tiedje K, et al. Factors that lessen the burden of treatment in complex patients with chronic conditions: a qualitative study. Patient Prefer Adherence. 2014;8:339-351.
  12. Leppin AL, Gionfriddo MR, Kessler M, et al. Preventing 30-day hospital readmissions: a systematic review and meta-analysis of randomized trials. JAMA Intern Med. 2014;174(7):1095-1107.
  13. Eton DT, Elraiyah TA, Yost KJ, et al. A systematic review of patient- reported measures of burden of treatment in three chronic diseases. Patient Relat Outcome Meas. 2013;4:7-20.
  14. Tran VT, Montori VM, Eton DT, Baruch D, Falissard B, Ravaud P. Development and description of measurement properties of an instru- ment to assess treatment burden among patients with multiple chronic conditions. BMC Med. 2012;10:68.
  15. Tran VT, Harrington M, Montori VM, Barnes C, Wicks P, Ravaud P. Adaptation and validation of the Treatment Burden Questionnaire (TBQ) in English using an internet platform. BMC Med. 2014;12:109.
  16. Deruaz-Luyet A, N'Goran AA, Tandjung R, et al. Multimorbidity in primary care: protocol of a national cross-sectional study in Switzerland. BMJ Open. 2015;5(10):e009165.
  17. Hu J, Nerenz D. Relationship Between Stress Rankings and the Overall Hospital Star Ratings: An Analysis of 150 Cities in the United States. JAMA Intern Med. 2017;177(1):136-137.
  18. Gu Q, Koenig L, Faerberg J, Steinberg CR, Vaz C, Wheatley MP. The Medicare Hospital Readmissions Reduction Program: potential unintend- ed consequences for hospitals serving vulnerable populations. Health Serv Res. 2014;49(3):818-837.
  19. Sidorkiewicz S, Tran V-T, Cousyn C, Perrodeau E, Ravaud P. Discordance between drug adherence as reported by patients and drug importance as assessed by physicians. Ann Fam Med. 2016;14(5):415-421.
  20. Weiner SJ, Schwartz A, Weaver F, et al. Contextual errors and failures in individualizing patient care: a multicenter study. Ann Intern Med. 2010;153(2):69-75.
  21. Andrews JC, Schunemann HJ, Oxman AD, et al. GRADE guidelines: 15. Going from evidence to recommendation-determinants of a recom- mendation's direction and strength. Journal of clinical epidemiology. 2013;66(7):726-735.

Cited by

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Authors
Workgroup, O. B. O. T. I. M. D. M., Spencer-Bonilla, G., Quiñones, A. R., & Montori, V. M.
Affiliations
Mayo Clinic (US)
Venue
Journal of General Internal Medicine
Published
2017-07-11
Volume
32
Issue
10
Pages
1141-1145
ISSN
  • 0884-8734 (ISSN-L)
  • 1525-1497
OpenAlex
W2735856415
Cited by
168
References
4
Citations by year
2026: 12 · 2025: 12 · 2024: 17 · 2023: 17 · 2022: 22 · 2021: 55 · 2020: 11 · 2019: 12 · 2018: 7 · 2017: 3
FWCI
1.20
Type
journal article
Language
en
Open access
Locations
  • Journal of General Internal Medicine (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health (KL2TR000136)
  • National Center for Advancing Translational Sciences
Topics
  • Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
  • Health Sciences › Medicine › Geriatrics and Gerontology › Pharmaceutical Practices and Patient Outcomes
  • Health Sciences › Health Professions › General Health Professions › Healthcare cost, quality, practices
Keywords
treatment burden, multimorbidity, complex care needs, patient-centered care, chronic disease, healthcare workload, patient well-being
MeSH terms
Humans, Treatment Outcome, Cost of Illness, Patient-Centered Care

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