Literature DB >> 22393129

Do physicians understand cancer screening statistics? A national survey of primary care physicians in the United States.

Odette Wegwarth1, Lisa M Schwartz, Steven Woloshin, Wolfgang Gaissmaier, Gerd Gigerenzer.   

Abstract

BACKGROUND: Unlike reduced mortality rates, improved survival rates and increased early detection do not prove that cancer screening tests save lives. Nevertheless, these 2 statistics are often used to promote screening.
OBJECTIVE: To learn whether primary care physicians understand which statistics provide evidence about whether screening saves lives.
DESIGN: Parallel-group, randomized trial (randomization controlled for order effect only), conducted by Internet survey. (ClinicalTrials.gov registration number: NCT00981019)
SETTING: National sample of U.S. primary care physicians from a research panel maintained by Harris Interactive (79% cooperation rate). PARTICIPANTS: 297 physicians who practiced both inpatient and outpatient medicine were surveyed in 2010, and 115 physicians who practiced exclusively outpatient medicine were surveyed in 2011. INTERVENTION: Physicians received scenarios about the effect of 2 hypothetical screening tests: The effect was described as improved 5-year survival and increased early detection in one scenario and as decreased cancer mortality and increased incidence in the other. MEASUREMENTS: Physicians' recommendation of screening and perception of its benefit in the scenarios and general knowledge of screening statistics.
RESULTS: Primary care physicians were more enthusiastic about the screening test supported by irrelevant evidence (5-year survival increased from 68% to 99%) than about the test supported by relevant evidence (cancer mortality reduced from 2 to 1.6 in 1000 persons). When presented with irrelevant evidence, 69% of physicians recommended the test, compared with 23% when presented with relevant evidence (P < 0.001). When asked general knowledge questions about screening statistics, many physicians did not distinguish between irrelevant and relevant screening evidence; 76% versus 81%, respectively, stated that each of these statistics proves that screening saves lives (P = 0.39). About one half (47%) of the physicians incorrectly said that finding more cases of cancer in screened as opposed to unscreened populations "proves that screening saves lives." LIMITATION: Physicians' recommendations for screening were based on hypothetical scenarios, not actual practice.
CONCLUSION: Most primary care physicians mistakenly interpreted improved survival and increased detection with screening as evidence that screening saves lives. Few correctly recognized that only reduced mortality in a randomized trial constitutes evidence of the benefit of screening. PRIMARY FUNDING SOURCE: Harding Center for Risk Literacy, Max Planck Institute for Human Development.

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Year:  2012        PMID: 22393129     DOI: 10.7326/0003-4819-156-5-201203060-00005

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  72 in total

1.  Understanding Decision Making about Breast Cancer Prevention in Action: The Intersection of Perceived Risk, Perceived Control, and Social Context: NRG Oncology/NSABP DMP-1.

Authors:  Christine M Gunn; Barbara G Bokhour; Victoria A Parker; Tracy A Battaglia; Patricia A Parker; Angela Fagerlin; Worta McCaskill-Stevens; Hanna Bandos; Sarah B Blakeslee; Christine Holmberg
Journal:  Med Decis Making       Date:  2019-02-25       Impact factor: 2.583

2.  Invasive Prenatal Diagnostic Testing Recommendations are Influenced by Maternal Age, Statistical Misconception and Perceived Liability.

Authors:  Talya Miron-Shatz; Sivan R Rapaport; Naama Srebnik; Yaniv Hanoch; Jonina Rabinowitz; Glen M Doniger; Linda Levi; Jonathan J Rolison; Avi Tsafrir
Journal:  J Genet Couns       Date:  2017-06-14       Impact factor: 2.537

Review 3.  Risk calculators-methods, development, implementation, and validation.

Authors:  Ulrich Mansmann; Anna Rieger; Brigitte Strahwald; Alexander Crispin
Journal:  Int J Colorectal Dis       Date:  2016-04-23       Impact factor: 2.571

4.  My Lived Experiences Are More Important Than Your Probabilities: The Role of Individualized Risk Estimates for Decision Making about Participation in the Study of Tamoxifen and Raloxifene (STAR).

Authors:  Christine Holmberg; Erika A Waters; Katie Whitehouse; Mary Daly; Worta McCaskill-Stevens
Journal:  Med Decis Making       Date:  2015-07-16       Impact factor: 2.583

5.  The price of false beliefs: unrealistic expectations as a contributor to the health care crisis.

Authors:  Steven H Woolf
Journal:  Ann Fam Med       Date:  2012 Nov-Dec       Impact factor: 5.166

6.  Statistical illiteracy in residents: what they do not learn today will hurt their patients tomorrow.

Authors:  Odette Wegwarth
Journal:  J Grad Med Educ       Date:  2013-06

7.  The Foundation in Evidence of Medical and Dental Telephone Consultations.

Authors:  Martina Albrecht; Florian Isenbeck; Jüürgen Kasper; Ingrid Mühlhauser; Anke Steckelberg
Journal:  Dtsch Arztebl Int       Date:  2016-06-06       Impact factor: 5.594

Review 8.  Understanding and communicating risk: Measures of outcome and the magnitude of benefits and harms.

Authors:  Neil R Bell; James A Dickinson; Roland Grad; Harminder Singh; Danielle Kasperavicius; Brett D Thombs
Journal:  Can Fam Physician       Date:  2018-03       Impact factor: 3.275

9.  Potentially inappropriate screening colonoscopy in Medicare patients: variation by physician and geographic region.

Authors:  Kristin M Sheffield; Yimei Han; Yong-Fang Kuo; Taylor S Riall; James S Goodwin
Journal:  JAMA Intern Med       Date:  2013-04-08       Impact factor: 21.873

Review 10.  Surveillance for gastrointestinal malignancies.

Authors:  Ashish K Tiwari; Heather S Laird-Fick; Ramesh K Wali; Hemant K Roy
Journal:  World J Gastroenterol       Date:  2012-09-07       Impact factor: 5.742

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