Predicting Cancer Prognosis Using Interactive Online Tools: A Systematic Review and Implications for Cancer Care Providers

被引:47
作者
Rabin, Borsika A. [1 ]
Gaglio, Bridget [4 ]
Sanders, Tristan [2 ]
Nekhlyudov, Larissa [6 ,7 ]
Dearing, James W. [1 ]
Bull, Sheana [3 ]
Glasgow, Russell E. [5 ]
Marcus, Alfred [3 ]
机构
[1] Inst Hlth Res, Canc Res Network, Canc Commun Res Ctr, Denver, CO USA
[2] Kaiser Permanente Colorado, Denver, CO 80231 USA
[3] Univ Colorado, Denver, CO 80202 USA
[4] Kaiser Permanente, Mid Atlantic Permanente Res Inst, Rockville, MD USA
[5] NCI, Rockville, MD USA
[6] Harvard Univ, Sch Med, Dept Populat Med, Boston, MA USA
[7] Harvard Vanguard Med Associates, Dept Med, Boston, MA USA
关键词
DECISION AIDS; PROSTATE-CANCER; HEALTH; INFORMATION; RISK; COMMUNICATION; MODEL; NEEDS;
D O I
10.1158/1055-9965.EPI-13-0513
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Cancer prognosis is of keen interest for patients with cancer, their caregivers, and providers. Prognostic tools have been developed to guide patient-physician communication and decision-making. Given the proliferation of prognostic tools, it is timely to review existing online cancer prognostic tools and discuss implications for their use in clinical settings. Using a systematic approach, we searched the Internet, Medline, and consulted with experts to identify existing online prognostic tools. Each was reviewed for content and format. Twenty-two prognostic tools addressing 89 different cancers were identified. Tools primarily focused on prostate (n = 11), colorectal (n = 10), breast (n = 8), and melanoma (n = 6), although at least one tool was identified for most malignancies. The input variables for the tools included cancer characteristics (n = 22), patient characteristics (n = 18), and comorbidities (n = 9). Effect of therapy on prognosis was included in 15 tools. The most common predicted outcome was cancer-specific survival/mortality (n = 17). Only a few tools (n = 4) suggested patients as potential target users. A comprehensive repository of online prognostic tools was created to understand the state-of-the-art in prognostic tool availability and characteristics. Use of these tools may support communication and understanding about cancer prognosis. Dissemination, testing, refinement of existing, and development of new tools under different conditions are needed. (C) 2013 AACR.
引用
收藏
页码:1645 / 1656
页数:12
相关论文
共 35 条
[11]  
Epstein R.E., 2007, PATIENT CENTERED COM
[12]   Communicating prognosis in cancer care: a systematic review of the literature [J].
Hagerty, RG ;
Butow, PN ;
Ellis, PM ;
Dimitry, S ;
Tattersall, MHN .
ANNALS OF ONCOLOGY, 2005, 16 (07) :1005-1053
[13]   Surveys of Physicians and Electronic Health Information. [J].
Hesse, Bradford W. ;
Moser, Richard P. ;
Rutten, Lila J. .
NEW ENGLAND JOURNAL OF MEDICINE, 2010, 362 (09) :859-860
[14]  
Hochbaum G.M., 1958, PUBLIC HLTH SERVICE
[15]   Informing and involving cancer patients in their own care [J].
Jefford, M ;
Tattersall, MHN .
LANCET ONCOLOGY, 2002, 3 (10) :629-637
[16]   A Proposed 'Health Literate Care Model' Would Constitute A Systems Approach To Improving Patients' Engagement In Care [J].
Koh, Howard K. ;
Brach, Cindy ;
Harris, Linda M. ;
Parchman, Michael L. .
HEALTH AFFAIRS, 2013, 32 (02) :357-367
[17]   New directions in eHealth communication: Opportunities and challenges [J].
Kreps, Gary L. ;
Neuhauser, Linda .
PATIENT EDUCATION AND COUNSELING, 2010, 78 (03) :329-336
[18]   Complexities in prognostication in advanced cancer - "To help them live their lives the way they want to" [J].
Lamont, EB ;
Christakis, NA .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2003, 290 (01) :98-104
[19]   Measuring the accuracy of prognostic judgments in oncology [J].
Mackillop, WJ ;
Quirt, CF .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 1997, 50 (01) :21-29
[20]   The importance of information giving for patients newly diagnosed with cancer: a review of the literature [J].
Mills, ME ;
Sullivan, K .
JOURNAL OF CLINICAL NURSING, 1999, 8 (06) :631-642