Development, Feasibility, and Small-Scale Implementation of a Web-Based Prognostic Tool-Surveillance, Epidemiology, and End Results Cancer Survival Calculator.

BACKGROUND: Population datasets and the Internet are playing an ever-growing role in the way cancer information is made available to providers, patients, and their caregivers. The Surveillance, Epidemiology, and End Results Cancer Survival Calculator (SEER*CSC) is a Web-based cancer prognostic tool that uses SEER data, a large population dataset, to provide physicians with highly valid, evidence-based prognostic estimates for increasing shared decision-making and improving patient-provider communication of complex health information. OBJECTIVE: The aim of this study was to develop, test, and implement SEER*CSC. METHODS: An iterative approach was used to develop the SEER*CSC. Based on input from cancer patient advocacy groups and physicians, an initial version of the tool was developed. Next, providers from 4 health care delivery systems were recruited to do formal usability testing of SEER*CSC. A revised version of SEER*CSC was then implemented in two health care delivery sites using a real-world clinical implementation approach, and usage data were collected. Post-implementation follow-up interviews were conducted with site champions. Finally, patients from two cancer advocacy groups participated in usability testing. RESULTS: Overall feedback of SEER*CSC from both providers and patients was positive, with providers noting that the tool was professional and reliable, and patients finding it to be informational and helpful to use when discussing their diagnosis with their provider. However, use during the small-scale implementation was low. Reasons for low usage included time to enter data, not having treatment options in the tool, and the tool not being incorporated into the electronic health record (EHR). Patients found the language in its current version to be too complex. CONCLUSIONS: The implementation and usability results showed that participants were enthusiastic about the use and features of SEER*CSC, but sustained implementation in a real-world clinical setting faced significant challenges. As a result of these findings, SEER*CSC is being redesigned with more accessible language for a public facing release. Meta-tools, which put different tools in context of each other, are needed to assist in understanding the strengths and limitations of various tools and their place in the clinical decision-making pathway. The continued development and eventual release of prognostic tools should include feedback from multidisciplinary health care teams, various stakeholder groups, patients, and caregivers.

A systematic review of eHealth cancer prevention and control interventions: new technology, same methods and designs?

There has been a recent surge of eHealth programs in cancer and other content areas, but few reviews have focused on the methodologies and designs employed in these studies. We conducted a systematic review of studies on eHealth interventions on cancer prevention and control published between 2001 and 2010 applying the Pragmatic Explanatory Continuum Indicator Summary (PRECIS) criteria and external validity components from the Reach Effectiveness Adoption Implementation Maintenance (RE-AIM) framework. We identified 113 studies that focused on cancer prevention and control of eHealth interventions. Most studies fell midway along the explanatory/pragmatic trial continuum, but few reported on various practical feasibility criteria for translation. Despite vast interest in cancer eHealth and the applied nature of this field, few studies considered key external validity issues. There is a need for use of alternative pragmatic study designs and transparent reporting of external validity components to produce more rapid and generalizable results.

Advancing the application, quality and harmonization of implementation science measures.

BACKGROUND: The field of implementation science (IS) encompasses a broad range of constructs and uses measures from a variety of disciplines. However, there has been little standardization of measures or agreement on definitions of constructs across different studies, fields, authors, or research groups. METHODS: We describe a collaborative, web-based activity using the United States National Cancer Institute's (NCI) Grid-Enabled Measures (GEM) portal that uses a wiki platform to focus discussion and engage the research community to enhance the quality and harmonization of measures for IS health-related research and practice. We present the history, process, and preliminary data from the GEM Dissemination & Implementation (D&I) Campaign on IS measurement. RESULTS: The GEM D&I Campaign has been ongoing for eight weeks as of this writing, and has used a combination of expert opinion and crowd-sourcing approaches. To date it has listed definitions for 45 constructs and summarized information on 120 measures. Usage of the website peaked at a rate of 124 views from 89 visitors on week seven. Users from seven countries have contributed measures and/or constructs, shared experience in using different measures, contributed comments, and identified research gaps and needs. CONCLUSION: Thus far, this campaign has provided information about different IS measures, their associated characteristics, and comments. The next step is to rate these measures for quality and practicality. This resource and ongoing activity have potential to advance the quality and harmonization of IS measures and constructs, and we invite readers to contribute to the process.