Literature DB >> 9238607

Patient, physician and presentational influences on clinical decision making for breast cancer: results from a factorial experiment.

J B McKinlay1, R B Burns, R Durante, H A Feldman, K M Freund, B S Harrow, J T Irish, L E Kasten, M A Moskowitz.   

Abstract

This study examines the influence of six patient characteristics (age, race, socioeconomic status, comorbidities, mobility and presentational style) and two physician characteristics (medical specialty and years of clinical experience) on physicians' clinical decision making behaviour in the evaluation treatment of an unknown and known breast cancer. Physicians' variability and certainty associated with diagnostic and treatment behaviour were also examined. Separate analyses explored the influence of these non-medical factors on physicians' cognitive processes. Using a fractional factorial design, 128 practising physicians were shown two videotaped scenarios and asked about possible diagnoses and medical recommendations. Results showed that physicians displayed considerable variability in response to several patient-based factors. Physician characteristics also emerged as important predictors of clinical behaviour, thus confirming the complexity of the medical decision-making process.

Entities:  

Mesh:

Year:  1997        PMID: 9238607     DOI: 10.1111/j.1365-2753.1997.tb00067.x

Source DB:  PubMed          Journal:  J Eval Clin Pract        ISSN: 1356-1294            Impact factor:   2.431


  20 in total

1.  How do doctors in different countries manage the same patient? Results of a factorial experiment.

Authors:  John McKinlay; Carol Link; Lisa Marceau; Amy O'Donnell; Sara Arber; Ann Adams; Karen Lutfey
Journal:  Health Serv Res       Date:  2006-12       Impact factor: 3.402

Review 2.  A systematic review of the extent and measurement of healthcare provider racism.

Authors:  Yin Paradies; Mandy Truong; Naomi Priest
Journal:  J Gen Intern Med       Date:  2013-09-04       Impact factor: 5.128

3.  Recommendations for intrauterine contraception: a randomized trial of the effects of patients' race/ethnicity and socioeconomic status.

Authors:  Christine Dehlendorf; Rachel Ruskin; Kevin Grumbach; Eric Vittinghoff; Kirsten Bibbins-Domingo; Dean Schillinger; Jody Steinauer
Journal:  Am J Obstet Gynecol       Date:  2010-07-02       Impact factor: 8.661

4.  Understanding surgery choices for breast cancer: how might the Theory of Planned Behaviour and the Common Sense Model contribute to decision support interventions?

Authors:  Stephanie Sivell; Adrian Edwards; Glyn Elwyn; Antony S R Manstead
Journal:  Health Expect       Date:  2011-03       Impact factor: 3.377

5.  The risks of multimedia methods: effects of actor's race and gender on preferences for health states.

Authors:  L A Lenert; J Ziegler; T Lee; C Unfred; R Mahmoud
Journal:  J Am Med Inform Assoc       Date:  2000 Mar-Apr       Impact factor: 4.497

6.  Breast cancer survival in South Asian women in England and Wales.

Authors:  Sabya Farooq; Michel P Coleman
Journal:  J Epidemiol Community Health       Date:  2005-05       Impact factor: 3.710

7.  Mammographers' perception of women's breast cancer risk.

Authors:  Joseph R Egger; Gary R Cutter; Patricia A Carney; Stephen H Taplin; William E Barlow; R Edward Hendrick; Carl J D'Orsi; Jessica S Fosse; Linn Abraham; Joann G Elmore
Journal:  Med Decis Making       Date:  2005 May-Jun       Impact factor: 2.583

Review 8.  Disparities in family planning.

Authors:  Christine Dehlendorf; Maria Isabel Rodriguez; Kira Levy; Sonya Borrero; Jody Steinauer
Journal:  Am J Obstet Gynecol       Date:  2010-03       Impact factor: 8.661

9.  Disparities in physicians' interpretations of heart disease symptoms by patient gender: results of a video vignette factorial experiment.

Authors:  Nancy N Maserejian; Carol L Link; Karen L Lutfey; Lisa D Marceau; John B McKinlay
Journal:  J Womens Health (Larchmt)       Date:  2009-10       Impact factor: 2.681

10.  Is certainty more important than diagnosis for understanding race and gender disparities?: an experiment using coronary heart disease and depression case vignettes.

Authors:  Karen E Lutfey; Carol L Link; Richard W Grant; Lisa D Marceau; John B McKinlay
Journal:  Health Policy       Date:  2008-08-12       Impact factor: 2.980

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