Dense Breast Tissue Notification: Impact on Women’s Perceived Risk, Anxiety, and Intentions for Future Breast Cancer Screening
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Dehkordy, 2013, Dense breast legislation in the United States: state of the states, J Am Coll Radiol, 10, 899, 10.1016/j.jacr.2013.09.007
Breast density notification laws state interactive map. Diagnostic Imaging. Available at: http://www.diagnosticimaging.com/breast-imaging/breast-density-notification-laws-state-interactive-map. Accessed July 18, 2014.
Price, 2013, The California breast density information group: a collaborative response to the issues of breast density, breast cancer risk, and breast density notification legislation, Radiology, 269, 887, 10.1148/radiol.13131217
Cappello, 2013, Decade of “normal” mammography reports—the happygram, J Am Coll Radiol, 10, 903, 10.1016/j.jacr.2013.09.006
Ho, 2013, Dense breasts and legislating medicine, Cleve Clin J Med, 80, 768, 10.3949/ccjm.80a.13048
American College of Radiology. ACR statement on reporting breast density in mammography reports and patient summaries. Available at: http://www.acr.org/About-Us/Media-Center/Position-Statements/Position-Statements-Folder/Statement-on-Reporting-Breast-Density-in-Mammography-Reports-and-Patient-Summaries. Accessed April 15, 2014.
Hay, 2006, Does worry about breast cancer predict screening behaviors? A meta-analysis of the prospective evidence, Prev Med, 42, 401, 10.1016/j.ypmed.2006.03.002
Katapodi, 2004, Predictors of perceived breast cancer risk and the relation between perceived risk and breast cancer screening: a meta-analytic review, Prev Med, 38, 388, 10.1016/j.ypmed.2003.11.012
Han, 2009, Aversion to ambiguity regarding medical tests and treatments: measurement, prevalence, and relationship to sociodemographic factors, J Health Commun, 14, 556, 10.1080/10810730903089630
Rose, 2004, Development and testing of the health care system distrust scale, J Gen Intern Med, 19, 57, 10.1111/j.1525-1497.2004.21146.x
Degner, 1997, The Control Preferences Scale, Can J Nurs Res, 29, 21
Buhrmester, 2011, Amazon’s Mechanical Turk a new source of inexpensive, yet high-quality, data?, Perspect Psychol Sci, 6, 3, 10.1177/1745691610393980
Kaufmann N, Schulze T, Veit D. More than fun and money. Worker motivation in crowdsourcing—a study on Mechanical Turk. Presented at: Americas’ Conference on Information Systems 2011; August 4-8, 2011; Detroit, Michigan.
Eickhoff, 2013, Increasing cheat robustness of crowdsourcing tasks, Inform Retriev, 16, 121, 10.1007/s10791-011-9181-9
O’Connor AM. User manual: measures of decision/choice predisposition. Available at: http://decisionaid.ohri.ca/docs/develop/User_Manuals/UM_ChoicePredisposition_Decision.pdf. Accessed April 12, 2014.
Montgomery, 2003, Family and friends with disease: their impact on perceived risk, Prev Med, 37, 242, 10.1016/S0091-7435(03)00120-8
Shacham, 1983, A shortened version of the Profile of Mood States, J Pers Assess, 47, 305, 10.1207/s15327752jpa4703_14
Oppenheimer, 2009, Instructional manipulation checks: detecting satisficing to increase statistical power, J Exp Soc Psychol, 45, 867, 10.1016/j.jesp.2009.03.009
Hayes, 2013
Musa, 2009, Trust in the health care system and the use of preventive health services by older black and white adults, Am J Public Health, 99, 1293, 10.2105/AJPH.2007.123927
Added Bytes. Readability score. Available at: http://www.readability-score.com. Accessed June 18, 2014.
MedlinePlus. How to write easy-to-read health materials. Available at: http://www.nlm.nih.gov/medlineplus/etr.html. Accessed June 18, 2014.
Cooke, 2008, How well do the theory of reasoned action and theory of planned behaviour predict intentions and attendance at screening programmes? A meta-analysis, Psychol Health, 23, 745, 10.1080/08870440701544437