Literature DB >> 3974114

Physicians' abilities to detect lumps in silicone breast models.

S W Fletcher, M S O'Malley, L A Bunce.   

Abstract

Little is known about how well physicians detect breast lumps in clinical breast examinations. We studied 80 general medicine, family medicine, general surgery, and obstetrics/gynecology physicians to determine their abilities to detect lumps in manufactured breast models. The mean number of lumps detected was 8.0 (44%), with a range of three (17%) to 15 (83%). Detection varied significantly by size (87% of 1.0-cm and 14% of 0.3-cm lumps) and hardness (56% of hard and 40% of soft lumps), but not depth; by specialty (from 50% for general internists to 40% for obstetricians), but not by level of training or experience; and by search duration (r = .59). On multiple regression analysis, only search duration was consistently associated with increased detection. Modest detection rates and wide variation suggest breast lump detection can be improved among physicians. Adequate search duration may be important for high detection rates.

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Year:  1985        PMID: 3974114

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  21 in total

1.  Making behavioral technology transferable.

Authors:  H S Pennypacker; L L Hench
Journal:  Behav Anal       Date:  1997

2.  Detection and description of small breast masses by residents trained using a standardized clinical breast exam curriculum.

Authors:  Elizabeth Steiner; Donald F Austin; Nancy C Prouser
Journal:  J Gen Intern Med       Date:  2007-12-04       Impact factor: 5.128

3.  Addressing women's breast cancer risk and perceptions of control in medical settings.

Authors:  R Royak-Schaler; B Cheuvront; K R Wilson; C M Williams
Journal:  J Clin Psychol Med Settings       Date:  1996-09

4.  Pointing the way to informed medical decision making: test characteristics of clinical breast examination.

Authors:  Mary B Barton; Joann G Elmore
Journal:  J Natl Cancer Inst       Date:  2009-08-31       Impact factor: 13.506

5.  Lump detection is enhanced in silicone breast models simulating postmenopausal breast tissue.

Authors:  M M McDermott; N C Dolan; J Huang; D Reifler; A W Rademaker
Journal:  J Gen Intern Med       Date:  1996-02       Impact factor: 5.128

6.  A pilot study of eye movement during mammography interpretation: eyetracker results and workstation design implications.

Authors:  D V Beard; P Bream; E D Pisano; P Conroy; R E Johnston; P Braeuning; R McLelland; R Clark
Journal:  J Digit Imaging       Date:  1997-02       Impact factor: 4.056

7.  How do women compare with internal medicine residents in breast lump detection? A study with silicone models.

Authors:  S W Fletcher; M S O'Malley; C A Pilgrim; J J Gonzalez
Journal:  J Gen Intern Med       Date:  1989 Jul-Aug       Impact factor: 5.128

8.  The effects of information, behavioral rehearsal, and prompting on breast self-exams.

Authors:  A M Craun; J L Deffenbacher
Journal:  J Behav Med       Date:  1987-08

Review 9.  Screening for breast cancer.

Authors:  Joann G Elmore; Katrina Armstrong; Constance D Lehman; Suzanne W Fletcher
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

10.  Changes in the use of screening mammography: evidence from the 1987 and 1990 National Health Interview Surveys.

Authors:  N Breen; L Kessler
Journal:  Am J Public Health       Date:  1994-01       Impact factor: 9.308

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