-
digital.ahrq.gov/sites/default/files/docs/publication/r18hs018226-sequist-final-report-2013.pdf
January 01, 2013 - recognition of CKD included
black race (odds ratio [OR] 2.71, 95% confidence interval [CI] 2.2-3.3), male gender … co-management within the prior 12
months included age less than 65 years (OR 1.97, 95% CI 1.5-2.5), male gender
-
digital.ahrq.gov/sites/default/files/docs/citation/r01hs024945-lambert-final-report-2022.pdf
January 01, 2022 - Prescriber gender was missing for 1833 individuals, but among those for whom we had gender, 54% were … we cannot comment on any differential effects our interventions may have had as a function of race, gender
-
digital.ahrq.gov/sites/default/files/docs/citation/r21hs024117-leung-final-report-2018.pdf
January 01, 2018 - participation in the formative and development phases
Formative Phase (n=32) Development Phase (n=21) a
Gender … participation in the formative and development phases
Formative Phase (n=20) Development Phase (n=15) a
Gender … Prevalence of Inadequate Hydration
Among US Children and Disparities by Gender and Race/Ethnicity: National
-
digital.ahrq.gov/sites/default/files/docs/publication/r18hs018646-gance-cleveland-final-report-2014.pdf
January 01, 2014 - Variable Measure Items R&V
Demographic Providers: age, gender, practice specialty, years in practice … T1 (n=33) T2 (n=25) T3 (n=23)
Characteristic n % n % n %
Gender
Female 31 94.0 23 92.0 20 87.0 … .) 8.9 (2.1)
8.2 (2.3)
8.9 (2.4)
8.4 (2.1)
9.2 (2.3)
8.2 (2.2)
Child Gender … • Gance-Cleveland B, Provider adherence to obesity guidelines by gender and ethnicity of the child
-
digital.ahrq.gov/sites/default/files/docs/hit-aging-adults-slides-071717.pdf
July 17, 2017 - Gender: No
Age: No
Number of primary care visits: Yes
31
Outcomes and p Values
n = 306/390 – (78%
-
digital.ahrq.gov/sites/default/files/docs/page/designing-consumer-health-it-a-guide-for-developers-and-systems-designers.pdf
September 01, 2012 - customer characteristics that may
influence interest in and use of the product,
including:
• Age
• Gender … Special Considerations
for Health Products
Diversity in customers can span not only culture
(i.e., gender
-
digital.ahrq.gov/sites/default/files/docs/resource/B7_Archives_Pohl_HS17034_1013_1.pdf
February 14, 2011 - formal data analysis, clinicians will be compared on outcomes by demographic categories
(e.g., age, gender … empirical sacrifice of productivity for quality.
8
e) How do clinician’s characteristics (gender
-
digital.ahrq.gov/sites/default/files/docs/citation/developmentmethodsguide.pdf
September 01, 2012 - customer characteristics that may
influence interest in and use of the product,
including:
• Age
• Gender … Special Considerations
for Health Products
Diversity in customers can span not only culture
(i.e., gender
-
digital.ahrq.gov/sites/default/files/docs/publication/r18hs017189-trivedi-final-report-2010.pdf
January 01, 2010 - Gender make-up at the site was: 43% males and 56% females, with 1%
unlisted. … Demographic Variables Mean (SD) or Percent
Age 47.87 (10.65)
Gender: Male 18%
Gender: Female
-
digital.ahrq.gov/sites/default/files/docs/citation/r01hs025374-weiner-final-report-2022.pdf
January 01, 2022 - biomedical information, such as
laboratory data, pharmaceuticals, diagnosis, patient allergies, age, and gender … 2 presents patient characteristics by study group; patients did not differ between groups in site,
gender … Total
(N=452)
Site
1 160 (58.2%) 118 (66.7%) 278 (61.5%)
2 115 (41.8%) 59 (33.3%) 174 (38.5%)
Gender
-
digital.ahrq.gov/sites/default/files/docs/page/SureScripts%20Final%20Report.pdf
January 11, 2007 - Figure B4 shows the gender and job position distribution
of participants. … Patient participants: Table B4 shows the age and gender distribution of patients receiving at
least … Table B5 provides the gender distribution and average number
of new prescriptions stratified by three … Despite this, the gender and age distributions appeared similar.
-
digital.ahrq.gov/sites/default/files/docs/citation/r01hs022110-windle-final-report-2019.pdf
January 01, 2019 - clinic visit and
recruited to be fully representative of normal patient population based on age,
gender … To
assure a diverse sample we used age, gender, race/ethnicity and zip code.
-
digital.ahrq.gov/sites/default/files/docs/page/buildinghealthitresearchcapacity.pdf
December 01, 2012 - Analyses
focused on patient characteristics such as age, gender,
and race; hospital characteristics
-
digital.ahrq.gov/sites/default/files/docs/publication/r18hs017037-ornstein-final-report-2010.pdf
January 01, 2010 - A dose calculator may be invoked within the prescription writer
and uses available patient data (gender
-
digital.ahrq.gov/sites/default/files/docs/survey/baseline-clinician-survey-keystone-health-information-exchange-keyhie.pdf
September 26, 2011 - What is your gender? 1 Male 2 Female
2.
-
digital.ahrq.gov/sites/default/files/docs/publication/r18hs017795-eisenstein-final-report-2012.pdf
January 01, 2012 - DOB: 8/17/1943 Age: 64 Gender: M
Phone #s on file: 919-111-1111 (h); 919-222-2222 (w)
Address on file … (Reports+)
Total
Group # % # % p # % p # %
Total 2281 27.1 2240 26.6 3901 46.3 8422 100.0
Gender … : Female 1344 58.9 1403 62.6 0.011 2365 60.6 0.19 5112 60.7
Gender: Male 937 41.1 837 37.4 1536 39.4
-
digital.ahrq.gov/sites/default/files/docs/citation/r21hs023875-kazemi-final-report-2018.pdf
January 01, 2018 - There
was no significant gender difference between the two groups (p-value=0.7001), men: women is
42 … Sona1
and Sona2 in study 2 at 5% significance level, except first drinking age (p-value<0.0001),
gender … Sona1
and Sona2 in study 2 at 5% significance level, except first drinking age (p-value<0.0001),
gender
-
digital.ahrq.gov/sites/default/files/docs/publication/r01hs015169-middleton-final-report-2009.pdf
January 01, 2009 - Potential confounders included patient factors (age, gender, race,
median income by zip code, insurance … type), physician factors (age, gender, and patient volume),
practice factors (size of practice), and
-
digital.ahrq.gov/sites/default/files/docs/publication/r01hs015084-graumlich-final-report-2007.pdf
January 01, 2007 - The Pra score came from a logistic model of age, gender, prior hospitalizations,
prior doctor visits … baseline patient demographic data plus variables to calculate
the probability for repeat admission: age, gender
-
digital.ahrq.gov/sites/default/files/docs/citation/r01hs022364-ralston-final-report-2018.pdf
January 01, 2018 - Visits (Aim 1) (1)
Patient
participants
(n=31)
Family
member
participants
(n=19)
Age 68.7 N/D
Gender … Values Framework
Evaluation (Aim 1)(3)
Patient
participants
(n=54)
Age mean (SD) 65.4 (10.7)
Gender