Title |
Assessing the Burden of Treatment
|
---|---|
Published in |
Journal of General Internal Medicine, July 2017
|
DOI | 10.1007/s11606-017-4117-8 |
Pubmed ID | |
Authors |
Gabriela Spencer-Bonilla, Ana R. Quiñones, Victor M. Montori, On behalf of the International Minimally Disruptive Medicine Workgroup |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 12 | 22% |
United Kingdom | 7 | 13% |
Spain | 5 | 9% |
Canada | 2 | 4% |
Finland | 1 | 2% |
Switzerland | 1 | 2% |
France | 1 | 2% |
Venezuela, Bolivarian Republic of | 1 | 2% |
Germany | 1 | 2% |
Other | 1 | 2% |
Unknown | 23 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 27 | 49% |
Scientists | 19 | 35% |
Practitioners (doctors, other healthcare professionals) | 6 | 11% |
Science communicators (journalists, bloggers, editors) | 3 | 5% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 117 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 20 | 17% |
Student > Ph. D. Student | 19 | 16% |
Student > Master | 15 | 13% |
Other | 10 | 9% |
Student > Bachelor | 8 | 7% |
Other | 22 | 19% |
Unknown | 23 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 40 | 34% |
Nursing and Health Professions | 16 | 14% |
Agricultural and Biological Sciences | 7 | 6% |
Psychology | 5 | 4% |
Computer Science | 4 | 3% |
Other | 19 | 16% |
Unknown | 26 | 22% |