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  1. www.ahrq.gov/sites/default/files/wysiwyg/pqmp/lessons/lessons-performance-comparisons.pdf
    October 01, 2019 - there is agreement that outcome measures should be adjusted for patient characteristics such as age, gender … They tested a baseline risk adjustment model (age, gender, chronic condition indicator) compared to … • The CEPQM team included adjusters related to age, gender, and chronic conditions in their case-mix
  2. www.ahrq.gov/sites/default/files/2024-07/grannis-report.pdf
    January 01, 2024 - These patients reflect the population of the state of Indiana broadly in terms of age distribution, gender … Enrollment: 10,000,000 PROPOSED ENROLLMENT: Number of Subjects by Registration Ethnic Category Sex/Gender … Enrollment: 24,126,855 ACTUAL ENROLLMENT: Number of Subjects by Registration Ethnic Category Sex/Gender
  3. www.ahrq.gov/practiceimprovement/delivery-initiative/ihs/chapter3.html
    December 01, 2017 - Demographic characteristics: NDW demographic information included each person’s age, gender, and geographic … indicator of morbidity burden and summarizes a person’s risk for health resource consumption based on age, gender
  4. www.ahrq.gov/sites/default/files/wysiwyg/research/publications/pubcomguide/Shooting-Script-How-to.pdf
    July 01, 2024 - • Distinguish between sex and gender. “Sex” refers to male or female physical characteristics. … “Gender” distinguishes masculine and feminine social roles.
  5. www.ahrq.gov/sites/default/files/wysiwyg/professionals/quality-patient-safety/patient-safety-resources/resources/advances-in-patient-safety/vol1/Rojas.pdf
    March 15, 2004 - After adjusting for presurgery functional status, age, gender, and perioperative risk, there was a 2.3 … adverse occurrences, we used logistic regression analysis to adjust for admitting impairment, age, gender … multivariate logistic regression, we modeled impairment at discharge— adjusting for admitting impairment, age, gender … beta = 0.60, standard error [SE] = 0.04, P < 0.0001; R2 = 0.28, P < 0.0001) after adjusting for age, gender
  6. www.ahrq.gov/sites/default/files/2025-04/rising-report.pdf
    January 01, 2025 - physician participants also completed a demographic questionnaire (including contact information, age, gender … Our desire to increase SP variation (e.g., variety of gender, age, race) and the scale of testing required … attempt post intervention, including study arm, training site, demographics (age, ethnicity, race, gender … 14.8) Biracial 3 (2.8) 3 (5.5) 0 (0.0) Unknown (declined/unspecified) 4 (3.7) 2 (3.6) 2 (3.7) Gender
  7. www.ahrq.gov/hai/cauti-tools/archived-webinars/navigating-hierarchy-slides.html
    December 01, 2017 - are systemic: mismatch of competencies to patient and population needs; poor teamwork ; persistent gender
  8. www.ahrq.gov/research/findings/final-reports/crctoolkit/crctool2a2.html
    April 01, 2018 - What does this vary with (e.g., age, gender, culture)?
  9. www.ahrq.gov/sites/default/files/wysiwyg/cahps/news-and-events/events/webinars/cahps-lessons-improving-patient-experience.pdf
    July 01, 2021 - and a possible jump at coaching date, adjusted for: ► Patient characteristics − adult/child, age, gender
  10. www.ahrq.gov/research/findings/nhqrdr/chartbooks/blackhealth/part3-nqs4.html
    June 01, 2018 - Note: Rates are adjusted by age and gender using the total U.S. resident population for 2010 as the
  11. www.ahrq.gov/sites/default/files/2024-01/burden-report.pdf
    January 01, 2024 - hospitalist physicians who consented to participate in the study, including years since training, gender … percent clinical full-time equivalent, mean + SD 0.89 + 0.17 0.82 + 0.20 Missing 0 (0) 1 (3.3) Clinician genderidentity, N (%) Woman 15 (50) 9 (31.0) Man 15 (50) 20 (69.0) Missing 0 (0) 0 (0) Clinician most commonly … mean + SD 57.7 + 17.6 57.9 + 16.7 57.5 + 17.1 58.0 + 17.2 Missing 0 (0) 0 (0) 0 (0) 0 (0) Patient gender
  12. www.ahrq.gov/sdoh/data-analytics.html
    July 01, 2022 - The available disparity categories are race, ethnicity, education, income, geographic location, gender
  13. www.ahrq.gov/policymakers/chipra/demoeval/demostates/pa.html
    March 01, 2019 - specifics such as predictive modeling for re-admission risk using patient EHR data, setting up age- and gender-specific
  14. www.ahrq.gov/news/newsletters/e-newsletter/903.html
    March 01, 2024 - Unpacking intersectional inequities in flu vaccination by sexuality, gender, and race-ethnicity in the
  15. www.ahrq.gov/sites/default/files/wysiwyg/evidencenow/results/research/reporting-instructions-baseline-sw.pdf
    June 02, 2025 - Weight  Height  Smoking status  Cessation referrals  LDL  Total cholesterol  HDL-C  A1C  Gender
  16. www.ahrq.gov/sites/default/files/wysiwyg/professionals/quality-patient-safety/patient-safety-resources/resources/advances-in-patient-safety/vol1/Spehar.pdf
    April 18, 2004 - Age, gender, and race were not predictive. … from the team’s clinician researchers, the variables examined for each of these patients were age, gender … Moreover, there were no significant differences by gender or LOS between the patients who were readmitted … Age, gender, and race were not predictive of readmission in any of the models. … Demographic factors such as ethnicity, gender, and age influence the patient’s hospitalization experience
  17. www.ahrq.gov/ncepcr/tools/obesity/obpcp5.html
    May 01, 2014 - A good match between an individual's characteristics (age, gender, activity interests) and the community
  18. www.ahrq.gov/sites/default/files/wysiwyg/data/SyH-DR-PUF-Summary-Statistics-Commercial-Person-Weighted.pdf
    September 26, 2023 - 14.55 219,678,930 97.08 74 6,146,302 2.72 225,825,232 99.80 84 460,623 0.20 226,285,855 100.00 Sex/Gender
  19. www.ahrq.gov/ncepcr/care/coordination/atlas/chapter6d.html
    June 01, 2014 - No differential item difficulty by age, gender, education, self-rated health, or ethnic group was identified … No differential item difficulty by age, gender, education, self-rated health, or ethnic group was identified
  20. www.ahrq.gov/sites/default/files/wysiwyg/professionals/education/continuing-ed/moc_sms.pdf
    March 29, 2016 - Asked About Barriers to Care Patient Age Gender Hispanic /Latino Race Yes No Yes No … Asked About Barriers to Care Patient Age Gender Hispanic /Latino Race Yes No Yes No … Asked About Barriers to Care Patient Age Gender Hispanic /Latino Race Yes No Yes No … Asked About Barriers to Care Patient Age Gender Hispanic /Latino Race Yes No Yes No … Asked About Barriers to Care Patient Age Gender Hispanic /Latino Race Yes No Yes No

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