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Showing results for "gender".

  1. digital.ahrq.gov/sites/default/files/docs/publication/r21hs019760-glanz-final-report-2013.pdf
    January 01, 2013 - Survey analysis Descriptive statistics were calculated for all demographic variables, including gender
  2. digital.ahrq.gov/sites/default/files/docs/citation/r01hs024538-adelman-final-report-2022.pdf
    January 01, 2022 - Patient-level characteristics: age, gender, race, ethnicity, insurance status.
  3. digital.ahrq.gov/sites/default/files/docs/citation/r21hs025005-snyder-final-report-2019.pdf
    January 01, 2019 - a range of practice settings (e.g., geographic region covered by PBRN) and characteristics (e.g., gender
  4. digital.ahrq.gov/sites/default/files/docs/citation/r01hs026522-schoenthaler-final-report-2023.pdf
    January 01, 2023 - Patient demographic data include race/ethnicity, place of birth, years in the US, primary language, age, gender
  5. digital.ahrq.gov/sites/default/files/docs/citation/r01hs026732-usher-final-report-2023.pdf
    January 01, 2023 - We adjusted for age (in decade), race, gender, and Elixhauser comorbidities.(12,13) For both analysis
  6. digital.ahrq.gov/sites/default/files/docs/publication/r18hs017220-wolf-final-report-2012.pdf
    January 01, 2012 - With the exception for gender, no differences were noted by demographic variables across these phases
  7. digital.ahrq.gov/sites/default/files/docs/citation/r18hs017059-wu-final-report-2010.pdf
    January 01, 2010 - problem list for diagnoses, smart form for smoking status, and the demographics section for age and gender
  8. digital.ahrq.gov/sites/default/files/docs/publication/r01hs015054-keenan-final-report-2008.pdf
    January 01, 2008 - giving handoff: S—Sketch Information: provide pertinent context information; patient name, age, gender
  9. digital.ahrq.gov/sites/default/files/docs/citation/r21hs021769-anderson-final-report-2016.pdf
    January 01, 2016 - The following EHR data elements will be obtained: Demographic Information (Year of birth, Gender, Race
  10. digital.ahrq.gov/sites/default/files/docs/citation/r18hs026170-garcia-final-report-2023.pdf
    January 01, 2023 - Region Central 13 (35.1%) 49 (34.3%) West 12 (32.4%) 46 (32.2%) North 12 (32.4%) 48 (33.6%) GenderIdentity Female 28 (75.7%) 88 (61.5%) Male 9 (24.3%) 53 (37.1%) Not listed/missing 0.0% 2 (1.4%
  11. digital.ahrq.gov/sites/default/files/docs/publication/k08hs018341-armstrong-final-report-2014.pdf
    January 01, 2014 - Regardless of race and gender, all children and adults were considered for the study if
  12. digital.ahrq.gov/sites/default/files/docs/citation/r01hs020909-dixon-final-report-2017.pdf
    January 01, 2017 - Four sites provided primary care regardless of age or gender, while one site specialized in primary
  13. digital.ahrq.gov/sites/default/files/docs/publication/2014-jason-data-for-individual-health.pdf
    January 01, 2014 - The study also found differences associated with various social determinants, such as race and gender … readable summary, a set of entries for agreed-upon standard data like medical record number, name, gender
  14. digital.ahrq.gov/sites/default/files/docs/citation/pccds-ln-opioid-action-plan-2019.pdf
    January 01, 2019 - 1 A Stakeholder-driven Action Plan for Improving Pain Management, Opioid Use, and Opioid Use Disorder Treatment Through Patient-Centered Clinical Decision Support Jerome A. Osheroff, MD Barry H. Blumenfeld, MD, MS Joshua E. Richardson, PhD, MS, MLIS Beth Lasater, MSPH …
  15. digital.ahrq.gov/sites/default/files/docs/patient-centered-care-transcript-033011.pdf
    June 16, 2021 - I was trying to look up information about the gender differences in our population, and our population
  16. digital.ahrq.gov/sites/default/files/docs/citation/r21hs024750-sherwin-final-report-2019.pdf
    January 01, 2019 - Consequently, that means that all the patients are treated in the same way regardless of their age, gender
  17. digital.ahrq.gov/sites/default/files/docs/citation/r21hs025793-chui-final-report-2020.pdf
    January 01, 2020 - ID did not exist, EHR and pharmacy dispensing data were matched on the following variables: patient gender
  18. digital.ahrq.gov/sites/default/files/docs/publication/r21hs018205-kearns-final-report-2012.pdf
    January 01, 2012 - Preliminary analyses demonstrated that age and gender did not differentiate fallers and non-fallers
  19. digital.ahrq.gov/sites/default/files/docs/citation/r01hs025375-zhou-final-report-2022.pdf
    January 01, 2022 - Patients’ demographic information (including age group, gender, race, and ethnicity), allergy information
  20. digital.ahrq.gov/sites/default/files/docs/citation/r01hs023328-koopman-final-report-2021.pdf
    January 01, 2021 - All experiments collected data about participant age, gender, race, ethnicity, education, income, and

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