-
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
-
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
-
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
-
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
-
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
-
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
-
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.
-
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.
-
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
-
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
-
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.
-
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.
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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