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Development, Feasibility, and Small-Scale Implementation of a Web-Based Prognostic Tool-Surveillance, Epidemiology, and End Results Cancer Survival Calculator.
Henton, Michelle; Gaglio, Bridget; Cynkin, Laurie; Feuer, Eric J; Rabin, Borsika A.
Afiliação
  • Henton M; Clinical Effectiveness and Decision Science, Patient-Centered Outcomes Research Institute, Washington, DC, United States.
  • Gaglio B; Clinical Effectiveness and Decision Science, Patient-Centered Outcomes Research Institute, Washington, DC, United States.
  • Cynkin L; Office of Advocacy Relations, Office of the Director, National Cancer Institute, Bethesda, MD, United States.
  • Feuer EJ; Statistical Research and Applications Branch, Surveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD, United States.
  • Rabin BA; Department of Family Medicine and Public Health, School of Medicine, University of California San Diego, La Jolla, CA, United States.
JMIR Cancer ; 3(2): e9, 2017 Jul 20.
Article em En | MEDLINE | ID: mdl-28729232
ABSTRACT

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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2017 Tipo de documento: Article