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Integrative Cancer Therapies, Vol. 5, No. 4, 315-319 (2006)
DOI: 10.1177/1534735406295565

Proposal for an Integrated Evaluation Model for the Study of Whole Systems Health Care in Cancer

Wayne B. Jonas, MD

Samueli Institute, 1700 Diagonal Road, Suite 400, Alexandria, VA 22314wjonas{at}siib.org

William Beckner, MIS

Samueli Institute, Alexandria, VA

Ian Coulter, PhD

Samueli Institute, Corona del Mar, CA

For more than 200 years, biomedicine has approached the treatment of disease by studying disease processes (patho-genesis), inferring causal connections and developing specific approaches for therapeutically interfering with those processes. This pathogenic approach has been highly successful in acute and traumatic disease but less successful in chronic disease, primarily because of the complex, multi-factorial nature of most chronic disease, which does not allow for simple causal inference or for simple therapeutic interventions. This article suggests that chronic disease is best approached by enhancing healing processes (salutogenesis) as a whole system. Because of the nature of complex systems in chronic disease, an evaluation model based on integrative medicine is felt to be more appropriate than a disease model. The authors propose and describe an integrated model for the evaluation of healing (IMEH) that collects multilevel "thick case" observational data in assessing complex practices for chronic disease. If successful, this approach could become a blueprint for studying healing capacity in whole medical systems, including complementary medicine, traditional medicine, and conventional primary care. In addition, streamlining data collection and applying rapid informatics management might allow for such data to be used in guiding clinical practice. The IMEH involves collection, integration, and potentially feedback of relevant variables in the following areas: (1) sociocultural, (2) psychological and behavioral, (3) clinical (diagnosis based), and (4) biological. Evaluation and integration of these components would involve specialized research teams that feed their data into a single data management and information analysis center. These data can then be subjected to descriptive and pathway analysis providing "bench and bedside" information.

Key Words: integrative medicine • cancer • healing model • social management of science • complementary medicine


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