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  1. www.uspreventiveservicestaskforce.org/home/getfilebytoken/vxPM4Bo9RXZGUDH6MWnDht
    May 01, 2013 - Suicide attempts and death rates vary substantially by sex; age; race; and other risk factors, such as … in cumulative survival without a suicide attempt (hazard ratio, 0.517; P � 0.21, adjusted for age, sex … Familial risk of early suicide: variations by age and sex of children and parents. … Does the effect of screening programs vary by population characteristics (i.e., sex, age, race/ethnicity … * Population characteristics include sex; age; race/ethnicity; comorbid medical ill- ness; history of
  2. www.uspreventiveservicestaskforce.org/uspstf/sites/default/files/2023-12/health-equity-framework-report.pdf
    January 01, 2023 - and evaluation of the evidence in specific populations, which focused primarily on grouping by age, sex … e.g., rural populations), 2) Race, ethnicity, culture, and language, 3) Occupation, 4) Gender and sex … USPSTF approach to addressing sex and gender when making recommendations for clinical preventive services … Prevention and Treatment of HIV and Other Sexually Transmitted Infections for Sex Workers in Low- and … • Issues of sex and gender are extraordinarily complicated when you’re focused on people’s physical
  3. effectivehealthcare.ahrq.gov/sites/default/files/antipsychotics-children-update_executive.pdf
    January 01, 2018 - Do the benefits vary with respect to patient characteristics, such as age, sex, race/ethnicity, medical … Do the harms vary with respect to patient characteristics, such as age, sex, race/ethnicity, diagnosis … Subpopulations based on patient characteristics: sex; age; race/ethnicity; comorbidities/co-conditions … of greater than 7%, somnolence, incidence of any extrapyramidal symptoms) in terms of patient age, sex
  4. effectivehealthcare.ahrq.gov/sites/default/files/diabetes-update-2015_executive.pdf
    January 01, 2015 - comparative safety and effectiveness of these treatments differ across subgroups defined by the age, sex … We also collected data on outcomes for the subgroups of interest, which were defined by age, sex, race … the comparative effectiveness and safety of diabetes medications in predefined subgroups of age, sex … for the outcome of HbA1c and did not show differential effects of the included comparisons by age, sex … the evidence on the comparative effectiveness of diabetes medications in subgroups defined by age, sex
  5. www.uspreventiveservicestaskforce.org/home/getfilebytoken/hbSopN6uA9u-4EQuKtRGDP
    October 01, 2011 - mass index (BMI) greater than 30 kg/m2—is high in the United States, exceeding 30% in most age- and sex-specific … associated with an increased mortality risk is less clear, pos- sibly because the association varies by sex … b) Are there differences in efficacy between patient subgroups (i.e., age 65 y or older, sex, race/ethnicity … c) Are there differences in efficacy between patient subgroups (i.e., age 65 y or older, sex, race/ethnicity … a) Are there differences in adverse effects between patient subgroups (i.e., age 65 y or older, sex,
  6. effectivehealthcare.ahrq.gov/sites/default/files/related_files/diagnostic-error-executive-summary.pdf
    August 01, 2023 - Female sex and non-White race were often associated with important (20–30%) increases in misdiagnosis
  7. meps.ahrq.gov/data_files/publications/cb2/cb2.shtml
    February 01, 1999 - Chartbook #2: Racial and Ethnic Differences in Health 1996   Skip to main content An official website of the Department of Health & Human Services More Back Search ah…
  8. hcup-us.ahrq.gov/datainnovations/clinicalcontentenhancementtoolkit/ny14.pdf
    March 20, 2012 - facilitate matching laboratory results to claims data include the patient’s:  Date of birth  Sex
  9. www.ahrq.gov/sites/default/files/wysiwyg/professionals/quality-patient-safety/patient-safety-resources/resources/advances-in-patient-safety-2/vol4/Advances-Miller_93.pdf
    March 12, 2008 - The following information was collected from patient medical records: patient sex, diagnosis, and age
  10. Psn-Pdf (pdf file)

    psnet.ahrq.gov/node/49516/psn-pdf
    August 01, 2006 - examination include a lack of confidence in performing an examination of a member of the opposite sex
  11. www.ahrq.gov/sites/default/files/2024-01/chetty-report.pdf
    January 01, 2024 - regression model using total hospital utilization as the dependent variable and assessed effects of sex
  12. www.ahrq.gov/sites/default/files/2024-01/greenfield-report.pdf
    January 01, 2024 - When controlling for age, sex, comorbidities, and baseline values, patients treated by HCTs in the highest
  13. www.ahrq.gov/sites/default/files/wysiwyg/hai/tools/clabsi-cauti-icu/cauti-event-reporting-revised.docx
    April 01, 2022 - Patient’s sex: ☐ Male ☐ Female 4.
  14. www.uspreventiveservicestaskforce.org/uspstf/recommendation/depression-screening-2002
    May 07, 2002 - Many risk factors for depression (e.g., female sex, family history of depression, unemployment, and chronic
  15. hcup-us.ahrq.gov/datainnovations/raceethnicitytoolkit/case_for_re.jsp
    February 01, 2025 - interactions with their patients, clinicians must take into account not only factors such as the patients age, sex
  16. hcup-us.ahrq.gov/reports/race/ReportcardsIB.jsp
    May 01, 2016 - At the bottom of the page is a table with state and national rates by sex only.
  17. www.uspreventiveservicestaskforce.org/uspstf/recommendation/sexually-transmitted-infections-behavioral-counseling-2008
    October 15, 2008 - Multiple trials showed no evidence of increases in unprotected sex or number of sexual partners.
  18. www.ahrq.gov/sites/default/files/2024-12/danforth-report.pdf
    January 01, 2024 - analyses, all eligible patients were included, and, as a result, the distribution by race/ethnicity, sex
  19. Psn-Pdf (pdf file)

    psnet.ahrq.gov/node/49760/psn-pdf
    May 01, 2016 - History of delirium, stroke, neurological disease, falls or gait disorder Multiple comorbidities Male sex
  20. Psn-Pdf (pdf file)

    psnet.ahrq.gov/node/49672/psn-pdf
    January 01, 2013 - patients scanned or as many as 1 in 300 patients scanned will develop cancer, depending on their age and sex