-
digital.ahrq.gov/sites/default/files/docs/citation/r21hs022583-phillips-final-report-2018.pdf
January 01, 2018 - 43.49-55.0 (N=87) 48.3 (3.3) 48.2 (3.3) 48.5 (3.3)
>55.0 (N=83) 62.4 (4.3) 63 (4.5) 61.8 (4)
Female Gender
-
digital.ahrq.gov/sites/default/files/docs/publication/uc1hs016129-bergner-final-report-2009.pdf
January 01, 2009 - This method had an inherent control for characteristics that
could have influenced ED visits, such as gender … Health Department participated in the EMPI by submitting each of their
client’s name, birth date, gender
-
digital.ahrq.gov/sites/default/files/docs/publication/r18hs017203-gurwitz-final-report-2011.pdf
January 01, 2011 - The age and gender characteristics of the study population (n=25,942) were similar
to those of the general … Age and Gender Characteristics of Study Population vs U.S.
-
digital.ahrq.gov/sites/default/files/docs/publication/r18hs018168-johnson-final-report-2013.pdf
January 01, 2013 - N Control (N=43) Intervention (N=46) P-value
Age 88 13.93±1.54 14.17±1.83 0.6441
Gender 89
Male … characteristics between this subset and
intervention patients who did not use MMH with regard to age, gender
-
digital.ahrq.gov/sites/default/files/docs/publication/r18hs017186-nebeker-final-report-2011.pdf
January 01, 2011 - Aim 2 participants demographic information by EHR used
All IMM Chart Reader
Gender: Male 25 12 13 … Gender: Female 33 18 15
Total participants 58 30 28
Average age 39 40 37
Average number of years practicing
-
digital.ahrq.gov/sites/default/files/docs/citation/r21hs028511-held-final-report-2024.pdf
January 01, 2024 - methods overlook high-risk groups such as patients residing within high-risk zip codes, neglect
gender
-
digital.ahrq.gov/sites/default/files/docs/citation/r21hs027660-burgermaster-final-report-2023.pdf
January 01, 2023 - discussing nutrition in typical appointment
Mean (SD), self-reported in minutes 2.9 ± 1.79 (1-7)
Gender … nutrition in typical appointment
Mean (SD), self-reported in minutes 6.13 ± 3.3 6.5 ± 4.1
Gender
-
digital.ahrq.gov/sites/default/files/docs/citation/r21hs024062-mazur-final-report-2017.pdf
January 01, 2017 - Specialty
# of
Participants
Post
Graduate
Year (PGY)
PGY: count
Gender
F: Female
M: Male … Specialty
# of
Participants
Post
Graduate
Year (PGY)
PGY: count
Gender
F: female;
M: Male
-
digital.ahrq.gov/sites/default/files/docs/page/ADAMS_3_I.ppt
January 01, 2013 - physician practice which are based on potentially illegitimate or socially troubling factors, such as race, gender
-
digital.ahrq.gov/sites/default/files/docs/citation/CommFocusedTechYoungAAWomenFinal.pdf
March 01, 2017 - confirm a previous research finding that African Americans prefer a VPA who
is their same race and gender … young African-American women prefer to receive
health information from a VPA of their same race and gender … The effects of gender and
ethnicity.
-
digital.ahrq.gov/sites/default/files/docs/publication/r18hs017072-lobach-final-report-2011.pdf
January 01, 2011 - Care
Managers
(Reports+)
p
Total
#
Total
%
Total 739 33.3 744 33.5 736 33.2 2219 100.0
Gender … :
Female 440 59.5 433 58.2 0.64 443 60.2 0.84 1316 59.3
Gender: Male 299 40.5 311 41.8 293 39.8 … extracted from the event recording database along with patient characteristics including date
of birth, gender
-
digital.ahrq.gov/sites/default/files/docs/citation/r21hs025502-dixon-final-report-2020.pdf
January 01, 2020 - out to individual
hospitals to acquire user data (such as physician specialty, years in practice, gender
-
digital.ahrq.gov/sites/default/files/docs/publication/r36hs018272-barrette-final-report-2011.pdf
January 01, 2011 - The interaction term Xit*Wjt includes the
interaction of patient characteristics age, gender (female … data is the third
source of data providing patient level choices and characteristics such as age, gender
-
digital.ahrq.gov/sites/default/files/docs/publication/r21hs020323-mollica-final-report-2014.pdf
January 01, 2014 - Completed Study:
Gender
Demographics
by Cohort
Cohort 1 Cohort 2 Combined Cohorts
Men: 5 Men … 5 Women:
11 Total Women: 16 (67%)
Total: 10 (42%) Total: 14 (58%) Grand Total: 24
Dropped Out: Gender
-
digital.ahrq.gov/sites/default/files/docs/citation/r21hs024977-dexheimer-final-report-2018.pdf
January 01, 2018 - patients (N =
6,395)
N % Mean ± SD N % Mean ± SD p-
value
Age (yrs) 15.0 ± 8.4 13.0 ± 7.3 <0.001
Gender … patients (N =
6,418)
N % Mean ± SD N % Mean ± SD p-
value
Age (yrs) 13.8 ± 8.0 12.7 ± 7.3 0.119
Gender
-
digital.ahrq.gov/sites/default/files/docs/adult-depression-slides-06152022.pdf
June 15, 2022 - Send Messages &
Track Activity
Setup Goal
External Variables
1
2
3
Personal Variables
e.g. gender
-
digital.ahrq.gov/sites/default/files/docs/impact-pcc-slides-032317.pdf
March 23, 2017 - Participant Sample: Thinkalouds
Limited HL
N=15
Adequate HL
N=10 Characteristic
Mean Age 56 61
Gender
-
digital.ahrq.gov/sites/default/files/docs/citation/k08hs24764-nanji-final-report-2022.pdf
January 01, 2022 - administered by
residents, fellows, CRNAs, and attending anesthesiologists, with distributions of gender
-
digital.ahrq.gov/sites/default/files/docs/citation/r03hs026289-ahmed-final-report-2022.pdf
January 01, 2022 - 92 (40.7) 113 (43.0)
40-49 38 (16.8) 58 (22.1)
50-59 30 (13.3) 25 (9.5)
60-69 8 (3.5) 9 (3.4)
Gender
-
digital.ahrq.gov/sites/default/files/docs/citation/r21hs023704-adelman-final-report-2019.pdf
January 01, 2019 - Patient-level characteristics: age, gender, race, ethnicity, unit, and date and time of admission. … Patient-level characteristics: age, gender, race, ethnicity, unit, and date and time of admission.