A family reviews cancer literature
In this image from the National Cancer Institute, a family reviews decision support information regarding potential cancer treatments.

Treatment decision support consists of the tools and processes used to enhance medical patients’ healthcare decision-making. The term differs from clinical decision support, in that clinical decision support tools are aimed at medical professionals, while treatment decision support tools empower the people who will receive the treatments. This service may be delivered at the site of healthcare services, or as an employee benefit through third-party providers.

Overview

Patients are often unaware of the benefits, side-effects, costs, or other key factors about a healthcare treatment that may inform their decision. For example, a cancer patient may face a decision whether to pursue aggressive chemotherapy to prolong life versus more palliative therapy to increase quality of life. An orthopedics patient may face a choice between aggressive lumbar spinal fusion versus physical therapy. Treatment decision support is intended to bridge the gap between patients' initial knowledge and the knowledge that is required for them to make fully informed decisions about which treatment to pursue.

Treatment decision support programs allow patients to actively engage in the healthcare decision-making process by gathering and weighing information which may be personalized for their situation. For example, some disease-specific programs may offer series of surveys that help a patient determine their treatment preferences,[1] however these services have been criticized as supporting only a small portion of patients who fit the questions.[2] Other treatment decision support programs include the ability to discuss treatment options with a skilled physician who is not treating the patient and is not subject to cost pressures.[3]

Studies

Studies have shown that patient-oriented evidence-based decision support systems can improve decision quality for patients, thus improving the fit between treatment and patient preference.[4] Other studies have reported increases in patient satisfaction and health following treatment decision support programs.[5] These systems can also reduce healthcare system spending by initially aligning patient preferences with treatment (avoiding redundant treatments) and giving patients tools to express desires for less aggressive treatment modalities that often improve quality of life. Treatment decision support may also improve adherence and compliance.

Forms and providers

Tools may include literature, interactive online exercises, programs that encourage speaking with similarly-situated patients, discussions with neutral physicians, and other programs.

Treatment decision support may be provided by integrated health plans (e.g., Kaiser), insurers/TPAs (e.g., Optum), or independent vendors (e.g., Grand Rounds).

See also

References

  1. ↑ Rae, L. J.; Lober, W. B.; Wolpin, S. E.; Dockrey, M. R.; Ellis, W. J.; Berry, D. L. (2005-01-01). "Acceptability of an Internet treatment decision support program for men with prostate cancer". AMIA ... Annual Symposium Proceedings. AMIA Symposium: 1091. ISSN 1942-597X. PMC 1560672. PMID 16779378.
  2. ↑ Phillips-Wren, G. E. (2014-05-22). DSS 2.0 - Supporting Decision Making With New Technologies. IOS Press. ISBN 9781614993995.
  3. ↑ "Our Services - Grand Rounds". Grand Rounds. Retrieved 2016-12-18.
  4. ↑ Danqing, Hu (2013-01-01). Patient-oriented Evidence-based Treatment Decision Support System (TreatQuest®) for Lung Cancer (Thesis). University of Wisconsin Milwaukee.
  5. ↑ Molenaar, Sjaak; Sprangers, Mirjam AG; Rutgers, Emiel J Th.; Luiten, Ernest JT; Mulder, Jan; Bossuyt, Patrick MM; van Everdingen, Jannes JE; Oosterveld, Paul; de Haes, Hanneke CJM (2001-03-15). "Decision Support for Patients With Early-Stage Breast Cancer: Effects of an Interactive Breast Cancer CDROM on Treatment Decision, Satisfaction, and Quality of Life". Journal of Clinical Oncology. 19 (6): 1676–1687. doi:10.1200/JCO.2001.19.6.1676. ISSN 0732-183X. PMID 11250997.
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