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Showing results for "gender".

  1. digital.ahrq.gov/sites/default/files/docs/quality-metrics-slides-042811.pdf
    January 01, 2011 - 62.0416666666667 WHITE F 66.2603938730853 WHITE M 64.8302040816327 Patient Characteristics by race and gender … A novel solution Patient selection Patient Characteristics Patient Characteristics by race and gender
  2. Slide 1 (ppt file)

    digital.ahrq.gov/sites/default/files/docs/page/Grannis.ppt
    January 01, 2004 - links between each of these records Match using social security number, patient name, birth date and gender
  3. digital.ahrq.gov/sites/default/files/docs/publication/r18hs017196-jack-final-report-2011.pdf
    January 01, 2011 - Age: 50-59 7 (50.00) 7 (50.00) 14 Age: 60-69 4 (66.67) 2 (33.33) 6 Age: 70+ 1 (50.00) 1 (50.00) 2 Gender … : F 12 (41.38) 17 (58.62) 29 Gender: M 11 (61.11) 7 (38.89) 18 Marital Status: Single 14 (51.85) 13 … Louise system users Frequency Percent Age: 30-39 2 50.00 Age: 40-49 1 25.00 Age: 50-59 1 25.00 Gender … : F 3 75.00 Gender: M 1 25.00 Marital Status: Single 2 50.00 Marital Status: Divorced/Separated/Widowed
  4. digital.ahrq.gov/sites/default/files/docs/publication/r18hs018151-smith-final-report-2013.pdf
    January 01, 2013 - Discharge medications errors decreased post-intervention (13% vs. 18%, p<0.001, adjusted for age, gender … Post-hoc analyses found associations of female gender with more frequent and hospital length of stay
  5. digital.ahrq.gov/sites/default/files/docs/citation/r21hs024100-rao-final-report-2018.pdf
    January 01, 2018 - 294 (17.0%) 452 (26.2%) 331 (19.2%) 639 (37.1%) 260 (15.1%) 477 (27.7%) 345 (20.1%) 0.3753 Gender … 316 (17.6%) 527 (29.4%) 292 (16.3%) 515 (36.7%) 230 (16.4%) 493 (28.7%) 254 (18.1%) 0.5046 Gender
  6. digital.ahrq.gov/sites/default/files/docs/publication/r18hs017163-baker-final-report-2011.pdf
    January 01, 2011 - Cox regression models to calculate proportional hazards adjusted for patient characteristics (age, gender … 4.6)‡ Pneumococcal Vaccination 2 / 93 (2.2) 2 / 75 (2.7) 0.6 (0.1 – 4.5)§ * Adjusted for age, gender … § Adjusted for age, gender and race/ethnicity. 14 Effect of Outreach to Patients Who Did Not
  7. digital.ahrq.gov/sites/default/files/docs/citation/r01hs021290-agha-final-report-2017.pdf
    January 01, 2017 - Gender (count) M= 148 (66%) F= 75 (34%) 48 (41%) 68 (59%) 100 (93%) 7 (7%) 84 (66%) 43 (34% … Acronyms for Gender: M=Male, F=Female. … n=32 (100%) UCSD n=17 (53%) VASD n=15 (47%) Primary n=17 (53%) Specialist n=15 (47%) Gender … Acronyms for Gender: M=Male, F=Female.
  8. digital.ahrq.gov/sites/default/files/docs/survey/engaging-diverse-patients-in-hit-use.pdf
    January 01, 2004 - What is your gender? Male Female 3.
  9. digital.ahrq.gov/sites/default/files/docs/page/Nemeth_SuccessStory.pdf
    May 02, 2014 - and immunizations that should be provided to each patient based on the patient’s disease, age, and gender
  10. digital.ahrq.gov/sites/default/files/docs/citation/r18hs026188-gong-final-report-2022.pdf
    January 01, 2022 - The EHR data included demographic information (age and gender), vital signs, laboratory test results … ) Cohort MV COVID sub- cohort COVID Cohort n 3905 3124 781 5672 803 Age, yr, mean +/-SD Gender … On the hospital view (Figure 7), the user can filter the report by gender, COVID status, mechanical … of patients that meet the filter criteria set by the user (hospital, department, COVID-19 status, gender
  11. digital.ahrq.gov/sites/default/files/docs/publication/r18hs017017-logan-final-report-2009.pdf
    January 01, 2009 - which patient age was documented and average patient age, the percent of procedures in which patient gender … was documented and the counts and percent of procedures for each gender were reported.
  12. digital.ahrq.gov/sites/default/files/docs/citation/r01hs021679-bertoni-final-report-2019.pdf
    January 01, 2019 - eHealth technology adoption and proficiency, in conjunction with such personal characteristics as age, gender … Internet use did not differ by gender.
  13. digital.ahrq.gov/sites/default/files/docs/citation/r03hs028033-frey-final-report-2024.pdf
    January 01, 2024 - These questions included child age, gender, race/ethnicity, insurance coverage, exposure to secondhand … 7.4 (1.8) 7.2 (1.9) Approximate age at the time of diagnosis (yrs) 2.1 (1.7) 2.3 (1.5) 1.9 (2.0) Gender … ) 8 (62%) Another family member has asthma 24 (92%) 12 (92%) 12 (92%) Caregiver characteristics Gender
  14. digital.ahrq.gov/sites/default/files/docs/telehealth-qas-06092020.pdf
    June 09, 2020 - Since this component was not part of research but rather clinical care, we did not assess acceptance by gender … Since this component was not part of research but rather clinical care, we did not assess acceptance by gender
  15. digital.ahrq.gov/sites/default/files/docs/publication/r01hs015057-lobach-final-report-2008.pdf
    January 01, 2008 - 525 (15.5) 1532 (15.2) 0.76 Black race 2256 (67.9) 2278 (68.0) 2221 (65.6) 6713 (66.8) 0.11 Male gender … degree-of-freedom Chi-square tests 7 Table 5 shows cumulative enrollment of subjects by gender … : 13-18 16.6 12.2 Age in years (range): 19-64 20.7 34.0 Age in years (range): 65+ 1.8 1.7 Female Gender … extracted from the event recording database along with patient characteristics including date of birth, gender
  16. digital.ahrq.gov/sites/default/files/docs/page/2_DimensionsofBusinessPractices_1.pdf
    June 16, 2021 - methods compare selected data elements—most frequently name, birth date, Social Security number, or gender—using
  17. digital.ahrq.gov/sites/default/files/docs/page/2_DimensionsofBusinessPractices_0.pdf
    June 16, 2021 - methods compare selected data elements—most frequently name, birth date, Social Security number, or gender—using
  18. digital.ahrq.gov/sites/default/files/docs/publication/r18hs017167-kopal-final-report-2011.pdf
    January 01, 2011 - %) Total ‡ (n=3636) Age† in years 52.54 (13.81) ** 55.06 (13.15) 53.93 (13.68) 53.88 (13.62) Gender … any visit was developed using logistic regression considering the following covariates: age, BMI, gender … Correlates of poor BP control were black race, female gender, income, higher BMI, diabetes and larger
  19. digital.ahrq.gov/sites/default/files/docs/publication/r01hs017939-carroll-final-report-2013.pdf
    January 01, 2013 - There were no significant differences between the intervention and control groups with respect to gender
  20. digital.ahrq.gov/sites/default/files/docs/resource/Logan_QMforColonoscopy_Fields_v4.pdf
    December 12, 2008 - period, the average age of patients undergoing those procedures, and the proportion of patients of each gender

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