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Gender in Clinical Research: A Review of Prins et al

Gender in Clinical Research: A Review of Prins et al. Susan Phillips Gender Basic, Jan. 2007. Sex Differences. genetic similarity phenotypic difference. Sex differences in Research. Failure to include women or to disaggregate data: Valid? Biased?. Question #1.

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Gender in Clinical Research: A Review of Prins et al

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  1. Gender in Clinical Research: A Review of Prins et al Susan Phillips Gender Basic, Jan. 2007

  2. Sex Differences • genetic similarity • phenotypic difference

  3. Sex differences in Research • Failure to include women or to disaggregate data: • Valid? • Biased?

  4. Question #1 • When do ‘between’ group differences (with the groups being men and women) matter enough to validate using scarce resources to identify them?

  5. What is clinical research? Research conducted with human subjects . . . for which an investigator (or colleague) directly interacts with human subjects. www.nih.gov/news/crp/97report/index.htm

  6. What about gender? • Prins et al: • useful concept for interpreting findings but not part of research design

  7. Epidemiology - cautions • Subdividing Tx & control groups by sex • Sex as a confounder rather than a variable in the pathway from input to outcome

  8. A solution . . .comment #1 • Sex stratification of study population (?)

  9. Comment #2 Assumption of homogeneity within group • The risk: missing an effect modifier that changes the measured outcome • An example

  10. Randomization- strengths & shortcomings: comment #3 • Equalizes unmeasured factors across groups • Makes the contribution of unmeasured factors invisible What about gender?

  11. Background data:comment #4 • Age, co-morbidities, smoking, drug use, etc • What about sexual abuse,control at home or in workplace What about a gender index?

  12. Gender bias in variables: comment #5 Does gender create bias in variables representing social determinants? Examples: -Gini coefficient -household income measure -self reported health

  13. Measuring gender’s effect: comment #6 • Only an interpretive lens? • An independent variable? What about a gender index?

  14. Measuring gender’s effect: comment #7 • A contextual level effect • A cross level effect What about a gender index?

  15. Gender and individual level analyses: comment #8 Some examples: • inventory re acceptance of sex roles • Acceptance of gender stereotypes

  16. The bottom line • Sex - individual level variable • Gender - ecological variable • Sex disaggregated data - good design • Gender - describes the social climate • Can we create a gender index to import group level info into individual or multi level analyses?

  17. Thank you . . .

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