-
www.ahrq.gov/sites/default/files/2024-05/kobayashi-report.pdf
January 01, 2024 - single-parameter alarms, or
experimental multiparametric alerts were recruited with matching for age, gender
-
www.ahrq.gov/sites/default/files/2024-01/carayon-report.pdf
January 01, 2024 - Section F is about demographics and background variables: gender, education level, and
age.
-
www.ahrq.gov/sites/default/files/2024-12/weinger2-report.pdf
January 01, 2024 - Patient age 59.0 ± 13.2 (23-86) 59.7 ± 11.3 (30-84) NS
Patient gender (% male) 92.1% 92.1% NS
Patient
-
integrationacademy.ahrq.gov/products/topic-briefs/polysubstance-use
February 01, 2025 - study of a sample of the general U.S. population 80 across 8 states and after taking into account age, gender
-
www.ahrq.gov/sites/default/files/wysiwyg/data/SyH-DR-Codebook.pdf
December 01, 2023 - Character
Uniform Values:
Data Element Description Value Value
Description
M Male
SEX_IDENT_CD Sex/Gender
-
www.uspreventiveservicestaskforce.org/home/getfilebytoken/y6xRBv7uSZY5bGCx7y48x7
May 01, 2009 - Population-level
changes in folate intake by age, gender, and race/ethnicity after folic acid fortifi
-
www.uspreventiveservicestaskforce.org/home/getfilebytoken/QZ-N4vDvgZSsghretDokg7
March 01, 2014 - Relationship of age, gender, race, and body size to infrarenal aortic diameter.
-
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
-
www.uspreventiveservicestaskforce.org/home/getfilebytoken/exVc75LHoUdnqjY6wYxzGV
June 01, 2003 - Sun protection and
sunburn in primary school children: the influence of
age, gender, and coloring.
-
hcup-us.ahrq.gov/reports/ED_MHSA_SOIpaper.pdf
June 10, 2011 - SU-related-expected-functional severity had more significant
effects than other patient characteristics, such as age, gender
-
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
-
hcup-us.ahrq.gov/pdf/HCUP_Central_Distributor_User_Guide.pdf
January 01, 2024 - Synthetic person-level identifiers that have been verified against the patient's date of birth and gender
-
www.ahrq.gov/sites/default/files/wysiwyg/diagnostic/resources/issue-briefs/dx-safety-patient-role.pdf
September 01, 2024 - Association of Racial/Ethnic and
Gender Concordance Between Patients and Physicians With Patient Experience
-
www.ahrq.gov/sites/default/files/wysiwyg/professionals/quality-patient-safety/patient-safety-resources/resources/advances-in-patient-safety/vol1/Campbell.pdf
January 01, 2003 - Demographic
variables included age, gender, race, the percentage of service-connected
disability for
-
www.ahrq.gov/sites/default/files/wysiwyg/diagnostic/dx-safety-issue-brief-co-design-rev.pdf
September 01, 2024 - Association of Racial/Ethnic and
Gender Concordance Between Patients and Physicians With Patient Experience
-
www.ahrq.gov/sites/default/files/wysiwyg/research/findings/nhqrdr/chartbooks/personcentered/qdr2015-chartbook-personcenteredcare.pdf
October 01, 2016 - With Viral Load Below 200
Ryan White Program Patients Retained in HIV Care, by Race/Ethnicity and Gender
-
www.uspreventiveservicestaskforce.org/uspstf/document/evidence-summary/skin-cancer-counseling-2003
October 06, 2003 - Sun protection and sunburn in primary school children: the influence of age, gender, and coloring.
-
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
-
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
-
effectivehealthcare.ahrq.gov/sites/default/files/pdf/protocol-pharm-pregnant-women_0.pdf
December 05, 2018 - analyses to examine effect sizes by level of severity and comorbidity, patient
characteristics (e.g., gender