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Showing results for "gender".

  1. digital.ahrq.gov/sites/default/files/docs/publication/r01hs015123-cebul-final-report-2008.pdf
    January 01, 2008 - incorporates as predictors the baseline value of the outcome of interest, number of weeks of the study, age, gender
  2. digital.ahrq.gov/sites/default/files/docs/citation/r18hs017191-pohl-final-report-2011.pdf
    January 01, 2011 - How do clinician characteristics (gender, age, clinician type, computer literacy) impact EHR use?
  3. digital.ahrq.gov/sites/default/files/docs/page/2016-ahrq-hit-annual-report.pdf
    January 01, 2016 - The study found that pain trajectories were different based on race, gender, service, and initial pain
  4. digital.ahrq.gov/sites/default/files/docs/publication/r18hs018157-hazlehurst-final-report-2013.pdf
    January 01, 2013 - The obesity epidemic in the United States--gender, age, socioeconomic, racial/ethnic, and geographic
  5. digital.ahrq.gov/sites/default/files/docs/citation/ecare-plan-final-report.pdf
    November 01, 2022 - Pacific Islander 0 (0%) 1 (9%) White 7 (78%) 5 (46%) Other 2 (22%) 0 (0%) Unknown 0 (0%) 4 (36%) Gender … Implementation of an eCare Plan for People With Multiple Chronic Conditions 30 such as preferred gender
  6. digital.ahrq.gov/sites/default/files/docs/citation/r01hs022955-thompson-final-report-2020.pdf
    January 01, 2020 - Gender (%, n) Female 71.7 (390) 73.2 (221) 69.8 (169) n.s.
  7. digital.ahrq.gov/sites/default/files/docs/citation/teahm_study_action_final061511comp.pdf
    June 01, 2011 - Characteristic All Telemonitoring Control N 112 40 72 Mean age (years; (SD)) 74.1 (8.3) 71.2 (7.8) 75.8 (8.3) Gender … What is your gender? (select one) Female Male 2. What is your age?
  8. digital.ahrq.gov/sites/default/files/docs/citation/r18hs025638-yazdany-final-report-2022.pdf
    January 01, 2022 - No significant differences were found across age and gender.
  9. digital.ahrq.gov/sites/default/files/docs/phr-impact-chronic-disease-transcript-012512.pdf
    August 01, 2012 - the independent variables independently controlling for condition of the study, clinic, age, race, gender
  10. digital.ahrq.gov/sites/default/files/docs/publication/p20hs015325-hartzema-final-report-2005.pdf
    January 01, 2005 - allow pharmacists to establish a patient profile that contains relevant patient information such as gender
  11. digital.ahrq.gov/sites/default/files/docs/publication/r18hs017855-friedman-final-report-2013.pdf
    January 01, 2013 - control groups Cox Regression examined the TLC-C effect controlling for potential confounding by gender
  12. digital.ahrq.gov/sites/default/files/docs/publication/developmentmethodskeyinformantinterviewsreport.pdf
    July 10, 2012 - Consumer health IT products will serve a variety of customers across demographic groups (e.g., age, gender
  13. digital.ahrq.gov/sites/default/files/docs/page/NJ-EPAC%20Pilot%20Testing%20of%20Electronic%20Prescribing%20Standards_0.pdf
    April 01, 2008 - for these factors, no significant association was found between generic ACEI starts and patient age, gender
  14. digital.ahrq.gov/sites/default/files/docs/page/EightSuccessStories_092810.pdf
    September 01, 2010 - for acute illness between children enrolled in the program and a group of children matched for age, gender
  15. digital.ahrq.gov/sites/default/files/docs/citation/AHRQ_Personal_Health_InfoFinalReport_FINAL508compliant.pdf
    March 01, 2010 - important to define the full range of potential user groups—taking into consideration factors like age, gender
  16. digital.ahrq.gov/sites/default/files/docs/citation/cds-connect-year2-final-report-2018.pdf
    January 01, 2018 - The patient name, gender, and age are prominently displayed at the top of the page along with an overall
  17. digital.ahrq.gov/sites/default/files/docs/citation/cedar_environmental_scan.pdf
    April 01, 2023 - to a patient’s past medical history, diagnosis, labs, and/or guidelines specific to their age and gender
  18. digital.ahrq.gov/sites/default/files/ahrq-dhr-2023-year-in-review.pdf
    January 01, 2023 - greater odds of mis-triage compared with White patients, and found additional disparities by income and gender
  19. digital.ahrq.gov/sites/default/files/docs/page/Long%20Term%20Care%20e-Prescribing%20Standards%20Pilot%20Study%20-%20Final%20Report_0.pdf
    August 01, 2007 - eligibility information was updated for a resident by matching the resident’s name, date of birth, gender
  20. digital.ahrq.gov/sites/default/files/docs/publication/final-hit-enabled-quality-measurement-snapshot.pdf
    July 01, 2012 - determined by a number of patient factors that are outside of the control of the provider (e.g., age, gender

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