Minimally disruptive medicine

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Minimally Disruptive Medicine[1] is an approach to patient care in chronic illness proposed by Carl R May, Victor Montori, and Frances Mair. In a 2009 article in the British Medical Journal[1] they argued that the burden of illness (the pathophysiological and psychosocial impact of disease on the sufferer) has its counterpart in the burden of treatment (the workload delegated to the patient by health professionals, which may include self care and self-monitoring, managing therapeutic regimens, organizing doctors’ visits, tests, and insurance). As medical responses to illness have become more sophisticated, the burden of treatment has grown, and includes increasingly complex techniques and health technologies (such as telecare) that must be routinely incorporated in everyday life by their users. Minimally Disruptive Medicine is an approach to designing patient care that seeks to consider the effects of treatment work, and in particular to prevent overburdening patients [2]. Overburdening leads, May, Montori and Mair argued, to structurally induced non-compliance with treatment, in which it becomes progressively more difficult for patients – especially older patients with multiple co-morbidities – to meet the demands that therapeutic regimens place upon them. Minimally Disruptive Medicine has a theoretical basis in Normalization Process Theory[3], which explains the processes by which treatment regimens and other ensembles of cognitive, behavioural and technical practices are routinely incorporated in everyday life.[2][3]

Burden of treatment [4]

The burden of treatment represents the challenges associated with everything patients do to care for themselves.[4][5][6][7] For example: visits to the doctor, medical tests, treatment management, and lifestyle changes... Patients with chronic conditions find it difficult to integrate everything asked of them by their healthcare providers in their everyday life (between work, family life and/or other obligations). Treatment burden is associated, independently of illnesses, with adherence to therapeutic care [8] and could affect hospitalization and survival rates.[9]
Treatment burden for patients exhibiting multiple chronic conditions can be assessed using validated tools that may help in the development of treatment strategies that are both efficient and acceptable for patients.[10]

References[edit]

  1. ^ May C, Montori VM, Mair FS. We need minimally disruptive medicine. BMJ 2009;339:b2803
  2. ^ May C, Finch T. Implementation, embedding, and integration: an outline of Normalization Process Theory. Sociology 2009;43:535-54
  3. ^ May C, Mair FS, Finch T, MacFarlane A, Dowrick C, Treweek S, Rapley T, Ballini L, Ong BN, Rogers A, Murray E, Elwyn G, Legare F, Gunn J, Montori VM. Development of a theory of implementation and integration: Normalization Process Theory. Implementation Science 2009;4.
  4. ^ Gallacher, K., et al., Understanding patients' experiences of treatment burden in chronic heart failure using normalization process theory. Ann Fam Med, 2011. 9(3): p. 235-43.
  5. ^ Eton, D.T., et al., Building a measurement framework of burden of treatment in complex patients with chronic conditions: a qualitative study. Patient Related Outcome Measures, 2012. 2012:3: p. 39-49.
  6. ^ Gallacher K, Jani B, Morrison D, Macdonald S, Blane D, Erwin P, May CR, Montori VM, Eton DT, Smith F, Batty DG, Mair FS. Qualitative Systematic reviews of treatment burden in stroke, heart failure and diabetes - Methodological challenges and solutions. BMC Medical Research Methodology 2013;13(10).
  7. ^ Jani B, Blane D, Browne S, Montori V, May C, Shippee N, Mair FS. Identifying treatment burden as an important concept for end of life care in those with advanced heart failure. Current Opinion in Supportive and Palliative Care 2013;7(1):3-7..
  8. ^ Vijan S, Hayward RA, Ronis DL, Hofer TP: Brief report: the burden of diabetes therapy: implications for the design of effective patient-centered treatment regimens. J Gen Intern Med 2005, 20(5):479-482.
  9. ^ Ho PM, Rumsfeld JS, Masoudi FA, McClure DL, Plomondon ME, Steiner JF, Magid DJ: Effect of medication nonadherence on hospitalization and mortality among patients with diabetes mellitus. Arch Intern Med 2006, 166(17):1836-1841.
  10. ^ Tran, V.T., et al., Development and description of measurement properties of an instrument to assess Treatment Burden among patients with multiple chronic conditions. BMC Med, 2012. 10(1): p. 68.