Janet S de Moor1, Catherine M Alfano, Nancy Breen, Erin E Kent, Julia Rowland. 1. Health Services and Economics Branch, Applied Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, 9609 Medical Center Drive, 3E438, MSC 9764, Bethesda, MD, 20892-9764, USA, Janet.demoor@nih.gov.
Abstract
PURPOSE: This paper summarizes recommendations stemming from the meeting, Applying Evidence from Economic Evaluations to Translate Cancer Survivorship Research into Care, hosted by the National Cancer Institute. METHODS: The meeting convened funded investigators, experts in cancer control, survivorship, health economics, and team science to identify the economic and health services data needed to facilitate the dissemination of cancer survivorship interventions into care and how survivorship and health economic investigators can successfully collaborate together and with other stakeholders. RESULTS: Recommendations from the meeting are as follows. First, investigators must engage key stakeholders early in the planning process to understand the outcomes and cost domains on which they base decisions. Second, evaluations of intervention efficacy and value should be conducted using standardized and comparable measures and analytic approaches to enable comparisons across studies. Finally, a health economist should be included during the planning phase of the study so that the economic evaluation is pursued in concert with the survivorship intervention. CONCLUSIONS: Economic analyses, from the perspective of key stakeholders, must be incorporated into survivorship intervention research. The results from these analyses should be disseminated in a manner that is transparent, accessible, and comparable across studies. IMPLICATIONS FOR CANCER SURVIVORS: To optimize cancer survivors' health and quality of life, it is essential deliver high-quality and high-value care. Incorporating economic analyses into survivorship intervention research can inform the translation of effective interventions into practice.
PURPOSE: This paper summarizes recommendations stemming from the meeting, Applying Evidence from Economic Evaluations to Translate Cancer Survivorship Research into Care, hosted by the National Cancer Institute. METHODS: The meeting convened funded investigators, experts in cancer control, survivorship, health economics, and team science to identify the economic and health services data needed to facilitate the dissemination of cancer survivorship interventions into care and how survivorship and health economic investigators can successfully collaborate together and with other stakeholders. RESULTS: Recommendations from the meeting are as follows. First, investigators must engage key stakeholders early in the planning process to understand the outcomes and cost domains on which they base decisions. Second, evaluations of intervention efficacy and value should be conducted using standardized and comparable measures and analytic approaches to enable comparisons across studies. Finally, a health economist should be included during the planning phase of the study so that the economic evaluation is pursued in concert with the survivorship intervention. CONCLUSIONS: Economic analyses, from the perspective of key stakeholders, must be incorporated into survivorship intervention research. The results from these analyses should be disseminated in a manner that is transparent, accessible, and comparable across studies. IMPLICATIONS FOR CANCER SURVIVORS: To optimize cancer survivors' health and quality of life, it is essential deliver high-quality and high-value care. Incorporating economic analyses into survivorship intervention research can inform the translation of effective interventions into practice.
Authors: Thomas W Concannon; Paul Meissner; Jo Anne Grunbaum; Newell McElwee; Jeanne-Marie Guise; John Santa; Patrick H Conway; Denise Daudelin; Elaine H Morrato; Laurel K Leslie Journal: J Gen Intern Med Date: 2012-04-13 Impact factor: 5.128
Authors: Scott Ramsey; Richard Willke; Andrew Briggs; Ruth Brown; Martin Buxton; Anita Chawla; John Cook; Henry Glick; Bengt Liljas; Diana Petitti; Shelby Reed Journal: Value Health Date: 2005 Sep-Oct Impact factor: 5.725