J T Henderson1, C S Weisman. 1. Department of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, MI 48109-2029, USA. jthender@umich.edu
Abstract
BACKGROUND: Studies have documented that patients of female physicians receive higher levels of preventive services. However, most studies include patients of only one gender, examine mainly gender-specific screening services, and do not examine patient education and counseling. OBJECTIVES: This study tests both physician- and patient-gender effects on screening and counseling services received in the past year and considers effects of gender-matched patient-physician pairs. RESEARCH DESIGN: Multivariate analyses are conducted to assess direct and interactive (physician x patient) gender effects and to control for important covariates. SUBJECTS: Data are from the 1998 Commonwealth Fund Survey of Women's Health, a nationally representative sample of U.S. adults. The analytic sample includes 1,661 men and 1,288 women ages 18 and over. MEASURES: Dependent variables are measures of patient-reported screening and counseling services received, including gender-specific and gender-nonspecific services and counseling on general health habits and sensitive topics. RESULTS: Female physician gender is associated with a greater likelihood of receiving preventive counseling for both male and female patients. For female patients, there is an increased likelihood of receiving more gender-specific screening (OR = 1.36, P <0.05) and counseling (OR = 1.40, P <0.05). These analyses provide no evidence that gender-matched physician-patient pairs provide an additional preventive care benefit beyond the main effect of female physician gender. CONCLUSIONS: Female physician gender influences the provision of both screening and counseling services. These influences may reflect physicians' practice and communication styles as well as patients' preferences and expectations.
BACKGROUND: Studies have documented that patients of female physicians receive higher levels of preventive services. However, most studies include patients of only one gender, examine mainly gender-specific screening services, and do not examine patient education and counseling. OBJECTIVES: This study tests both physician- and patient-gender effects on screening and counseling services received in the past year and considers effects of gender-matched patient-physician pairs. RESEARCH DESIGN: Multivariate analyses are conducted to assess direct and interactive (physician x patient) gender effects and to control for important covariates. SUBJECTS: Data are from the 1998 Commonwealth Fund Survey of Women's Health, a nationally representative sample of U.S. adults. The analytic sample includes 1,661 men and 1,288 women ages 18 and over. MEASURES: Dependent variables are measures of patient-reported screening and counseling services received, including gender-specific and gender-nonspecific services and counseling on general health habits and sensitive topics. RESULTS: Female physician gender is associated with a greater likelihood of receiving preventive counseling for both male and female patients. For female patients, there is an increased likelihood of receiving more gender-specific screening (OR = 1.36, P <0.05) and counseling (OR = 1.40, P <0.05). These analyses provide no evidence that gender-matched physician-patient pairs provide an additional preventive care benefit beyond the main effect of female physician gender. CONCLUSIONS: Female physician gender influences the provision of both screening and counseling services. These influences may reflect physicians' practice and communication styles as well as patients' preferences and expectations.
Authors: Simone Dahrouge; William E Hogg; Grant Russell; Meltem Tuna; Robert Geneau; Laura K Muldoon; Elizabeth Kristjansson; John Fletcher Journal: CMAJ Date: 2011-12-05 Impact factor: 8.262
Authors: A Niroshan Siriwardena; Bill Irish; Zahid B Asghar; Hilton Dixon; Paul Milne; Catherine Neden; Jo Richardson; Carol Blow Journal: Br J Gen Pract Date: 2012-06 Impact factor: 5.386
Authors: Deirdre A Shires; Kurt C Stange; George Divine; Scott Ratliff; Ronak Vashi; Ming Tai-Seale; Jennifer Elston Lafata Journal: Am J Prev Med Date: 2012-02 Impact factor: 5.043