Literature DB >> 18188653

Making sense of cancer risk calculators on the web.

Andrea Gurmankin Levy1, Seema S Sonnad, Jibby E Kurichi, Melani Sherman, Katrina Armstrong.   

Abstract

OBJECTIVE: Cancer risk calculators on the internet have the potential to provide users with valuable information about their individual cancer risk. However, the lack of oversight of these sites raises concerns about low quality and inconsistent information. These concerns led us to evaluate internet cancer risk calculators.
DESIGN: After a systematic search to find all cancer risk calculators on the internet, we reviewed the content of each site for information that users should seek to evaluate the quality of a website. We then examined the consistency of the breast cancer risk calculators by having 27 women complete 10 of the breast cancer risk calculators for themselves. We also completed the breast cancer risk calculators for a hypothetical high- and low-risk woman, and compared the output to Surveillance Epidemiology and End Results estimates for the average same-age and same-race woman.
RESULTS: Nineteen sites were found, 13 of which calculate breast cancer risk. Most sites do not provide the information users need to evaluate the legitimacy of a website. The breast cancer calculator sites vary in the risk factors they assess to calculate breast cancer risk, how they operationalize each risk factor and in the risk estimate they provide for the same individual.
CONCLUSIONS: Internet cancer risk calculators have the potential to provide a public health benefit by educating individuals about their risks and potentially encouraging preventive health behaviors. However, our evaluation of internet calculators revealed several problems that call into question the accuracy of the information that they provide. This may lead the users of these sites to make inappropriate medical decisions on the basis of misinformation.

Entities:  

Mesh:

Year:  2008        PMID: 18188653      PMCID: PMC2359468          DOI: 10.1007/s11606-007-0484-x

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  35 in total

Review 1.  Empirical studies assessing the quality of health information for consumers on the world wide web: a systematic review.

Authors:  Gunther Eysenbach; John Powell; Oliver Kuss; Eun-Ryoung Sa
Journal:  JAMA       Date:  2002 May 22-29       Impact factor: 56.272

2.  Reliability of health information for the public on the World Wide Web: systematic survey of advice on managing fever in children at home.

Authors:  P Impicciatore; C Pandolfini; N Casella; M Bonati
Journal:  BMJ       Date:  1997-06-28

3.  Shortcomings of health information on the Internet.

Authors:  Mike Benigeri; Pierre Pluye
Journal:  Health Promot Int       Date:  2003-12       Impact factor: 2.483

4.  Evaluating the reliability and validity of three tools to assess the quality of health information on the Internet.

Authors:  Gbogboade Ademiluyi; Charlotte E Rees; Charlotte E Sheard
Journal:  Patient Educ Couns       Date:  2003-06

5.  Intake of fruits, vegetables and selected micronutrients in relation to the risk of breast cancer.

Authors:  Alecia S Malin; Dai Qi; Xiao-Ou Shu; Yu-Tang Gao; Janet M Friedmann; Fan Jin; Wei Zheng
Journal:  Int J Cancer       Date:  2003-06-20       Impact factor: 7.396

6.  Projecting individualized probabilities of developing breast cancer for white females who are being examined annually.

Authors:  M H Gail; L A Brinton; D P Byar; D K Corle; S B Green; C Schairer; J J Mulvihill
Journal:  J Natl Cancer Inst       Date:  1989-12-20       Impact factor: 13.506

7.  Risk factors for breast cancer in elderly women.

Authors:  Carol Sweeney; Cindy K Blair; Kristin E Anderson; DeAnn Lazovich; Aaron R Folsom
Journal:  Am J Epidemiol       Date:  2004-11-01       Impact factor: 4.897

8.  Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. adults.

Authors:  Eugenia E Calle; Carmen Rodriguez; Kimberly Walker-Thurmond; Michael J Thun
Journal:  N Engl J Med       Date:  2003-04-24       Impact factor: 91.245

9.  Comparison of age at first full-term pregnancy between women with breast cancer and women with benign breast diseases.

Authors:  Areti Lagiou; Pagona Lagiou; Dorothy-Stamatia Vassilarou; Melpomeni Stoikidou; Dimitrios Trichopoulos
Journal:  Int J Cancer       Date:  2003-12-10       Impact factor: 7.396

10.  Breast cancer, pregnancy, and breastfeeding.

Authors:  Michael Helewa; Pierre Lévesque; Diane Provencher; Robert H Lea; Vera Rosolowich; Heather M Shapiro
Journal:  J Obstet Gynaecol Can       Date:  2002-02
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  8 in total

1.  Randomized Controlled Trial of an Educational Intervention Using an Online Risk Calculator for Knee Osteoarthritis: Effect on Risk Perception.

Authors:  Elena Losina; Griffin L Michl; Karen C Smith; Jeffrey N Katz
Journal:  Arthritis Care Res (Hoboken)       Date:  2017-07-10       Impact factor: 4.794

2.  An information-centric framework for designing patient-centered medical decision aids and risk communication.

Authors:  Lyndsey Franklin; Catherine Plaisant; Ben Shneiderman
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

3.  Directing the public to evidence-based online content.

Authors:  Crystale Purvis Cooper; Cynthia A Gelb; Alexandra N Vaughn; Jenny Smuland; Alexandra G Hughes; Nikki A Hawkins
Journal:  J Am Med Inform Assoc       Date:  2014-07-22       Impact factor: 4.497

4.  Chinese primary knee osteoarthritis progression cohort (CPKOPC) to evaluate the progression of knee osteoarthritis in the Beijing population: a prospective cohort study protocol.

Authors:  Minwei Zhao; Yupeng Liang; Xinguang Wang; Lin Zeng; Hua Tian
Journal:  BMJ Open       Date:  2019-08-20       Impact factor: 2.692

5.  Adherence of Internet-Based Cancer Risk Assessment Tools to Best Practices in Risk Communication: Content Analysis.

Authors:  Erika A Waters; Jeremy L Foust; Laura D Scherer; Amy McQueen; Jennifer M Taber
Journal:  J Med Internet Res       Date:  2021-01-25       Impact factor: 5.428

6.  What is my cancer risk? How internet-based cancer risk assessment tools communicate individualized risk estimates to the public: content analysis.

Authors:  Erika A Waters; Helen W Sullivan; Wendy Nelson; Bradford W Hesse
Journal:  J Med Internet Res       Date:  2009-07-31       Impact factor: 5.428

7.  Translating Cancer Risk Prediction Models into Personalized Cancer Risk Assessment Tools: Stumbling Blocks and Strategies for Success.

Authors:  Erika A Waters; Jennifer M Taber; Amy McQueen; Ashley J Housten; Jamie L Studts; Laura D Scherer
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-10-12       Impact factor: 4.254

8.  Development and feasibility of a personalized, interactive risk calculator for knee osteoarthritis.

Authors:  Elena Losina; Kristina Klara; Griffin L Michl; Jamie E Collins; Jeffrey N Katz
Journal:  BMC Musculoskelet Disord       Date:  2015-10-22       Impact factor: 2.362

  8 in total

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