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Showing results for "gender".

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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%
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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.
  12. 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.
  13. 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
  14. 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
  15. 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.
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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

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