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Showing results for "gender".

  1. digital.ahrq.gov/sites/default/files/docs/citation/r18hs026704-ahmad-final-report-2023.pdf
    January 01, 2023 - Age 20-30 3 13.0 30-40 3 13.0 Characteristic N % 40-50 9 39.1 50-60 6 26.1 60-70 2 8.7 Gender … (N = 12) Age 15 years 1 8.3 16 years 2 16.7 17 years 6 50.0 18 years 2 16.7 19 years 1 8.3 Gender … to perform to STI screening at the site level and to evaluate responses based on self-identified gender
  2. digital.ahrq.gov/sites/default/files/docs/page/guide-to-evaluating-hie-projects-appendix-e.pdf
    December 02, 2013 - AHRQ's Guide to Evaluating Health Information Exchange Projects - Appendix E E-1 Appendix E: Glossary Computerized Provider Order Entry (CPOE). An application that allows health care providers to use information technology to directly enter medical orders electronically in inpatient and ambulatory settings, re…
  3. digital.ahrq.gov/sites/default/files/docs/2010-04-06%20Patient%20Empowerment%20(1).pdf
    January 01, 2010 - versus usual delivery of preventive  care) will result in:   – Increased delivery of age and gender … Preventive Care account • Patient needs to enter  – MRN (provided by clinician’s office) – Gender
  4. digital.ahrq.gov/sites/default/files/docs/reducing-provider-burden-slides-012518.pdf
    January 25, 2018 - each navigation sequence. 49 Cognitive load ratings and rank orders - NASA TLX 50 Gender … related to our simulated scenarios Specialty # of Participants Post Graduate Year (PGY) PGY: count Gender … Cognitive load ratings and rank orders -NASA TLX Gender in NASA TLX.
  5. digital.ahrq.gov/sites/default/files/docs/publication/r36hs018239-taha-final-report-2011.pdf
    January 01, 2011 - There were no exclusion criteria with respect to gender or ethnicity. … Sample Middle-aged Older Number 107 56 51 Age in years, M(SD) 58.87 (11.89) 49.36 (5.36) 69.33 (7.45) Gender … (%): Male 45.8 51.8 39.2 Gender (%): Female 54.2 48.2 60.8 Ethnicity (%): Hispanic 23.4 16.1 31.4 … This questionnaire gathered demographic data such as gender, age, ethnicity, education, and income ( … Based upon Pat's personal profile (age, gender, height, weight, and current blood pressure), the
  6. digital.ahrq.gov/sites/default/files/docs/publication/k08hs017951-rand-final-report-2015.pdf
    January 01, 2015 - and no text reminders to text reminders, and multivariate analyses were performed controlling for gender … In multivariate survival analysis controlling for gender, age, practice, insurance, race and ethnicity
  7. digital.ahrq.gov/sites/default/files/docs/citation/r21hs024553-bardach-final-report-2018.pdf
    January 01, 2018 - Report submission varied by patient age, gender, race/ethnicity, and prior utilization. … phone linkage (32 events over 20 months).15 The number of reports submitted varied by patient age, gender
  8. digital.ahrq.gov/sites/default/files/docs/publication/r18hs017034-chrischilles-final-report-2011.pdf
    January 01, 2011 - Subject gender, age, ethnicity, race, education, marital status, and living situation were collected … Baseline Characteristic Randomized to PHR use N=802 Control N=273 PHR vs control p-value* Gender … 0.4649 Gender: Male 341 (42.5%) 123 (45.1%) Gender: Female 461 (57.5%) 150 (54.9%) Age 72.5 … Specific warning generated: Ketorolac 1 0.1% 0.3% Measures of PHR use frequency did not differ by gender … medication or health information entries, medication warning messages nor user warning clicks varied by gender
  9. digital.ahrq.gov/ahrq-funded-projects/community-shared-clinical-abstract-improve-care
    January 01, 2023 - After adjusting for age, gender, race, marital status, and comorbidity, Internality had no effect on
  10. digital.ahrq.gov/sites/default/files/docs/publication/r18hs017234-wagner-final-report-2011.pdf
    January 01, 2011 - Only 2 variables were different at baseline, gender (control 12 group less likely to be female … variables contained the following fixed factors, covariates, and interaction terms: Group, Clinic, Gender … , Race, Education, Base, Age, Age*Group, Group*Clinic, Group*Base, Group*Gender, Group*Race, and Group … at enrollment (years) 58.70 ± 10.65 53.99 ± 11.80 0.96 (0.93, 1.00) 0.03 Patient Characteristic: Gender … Male 10 (23.26) 23 (23.71) 1.00 - 0.95 Patient Characteristic: Gender Female 33 (76.74) 74 (76.29
  11. digital.ahrq.gov/sites/default/files/docs/publication/r21hs019071-lai-final-report-2014.pdf
    January 01, 2014 - Sample characteristics (Patients; N=62) Variable Value Percentage Gender Male 53.6 Gender Female … Parent characteristics (N=62) Variable Value Percentage Gender (Relationship with child) Male (Father … ) 23.2 Gender (Relationship with child) Female (Mother) 76.8 Spanish/Hispanic/Latino origin No 78.6
  12. digital.ahrq.gov/sites/default/files/docs/resource/davidson.pdf
    June 16, 2021 - following Levels of Analysis for all information being produced out of CACHIE QIS:  Patient (Age, Gender … Name Varchar 60 No Note: Optional if PHI cannot be shared with CACHIE Suffix Varchar 25 Yes Gender … Identifier Social Security Number Prefix First Name Middle Name Last Name Suffix Birth Date Gender … Record Number Social Security Number Prefix First Name Middle Name Last Name Suffix Birth Date Gender … Record Number Social Security Number Prefix First Name Middle Name Last Name Suffix Birth Date Gender
  13. digital.ahrq.gov/sites/default/files/docs/page/percentage-of-orders-entered-using-cpoe-quick-reference-guide.pdf
    February 01, 2009 - evaluate whether differences exist in the way providers use CPOE (e.g., seasonal variability, age/gender
  14. digital.ahrq.gov/sites/default/files/docs/citation/u18hs026135-white-final-report-2022.pdf
    January 01, 2022 - mHealth platform on the outcome of measured pain intensity post dental procedure adjusting for provider, gender … In the adjusted, mixed effects model controlling for provider, gender, and procedure group, the effect … prescribed post dental procedure (OR = 1.17, 95% CI: 0.61, 1.64, p-value = 0.40) after adjusting for gender … In the adjusted, mixed effects model controlling for provider, gender, and procedure group, the effect
  15. digital.ahrq.gov/sites/default/files/docs/citation/r21hs023844-federman-final-report-2017.pdf
    January 01, 2017 - Additional physician data included level of training (attending, resident, nurse practitioner) and gender … significantly associated with providing the AVS to patients when adjusting for the practice, clinician gender … †Adjusted for all demographic variables significantly different in either pretest or posttest: age, gender … †Adjusted for all demographic variables significantly different in either pretest or posttest: age, gender
  16. digital.ahrq.gov/sites/default/files/docs/publication/r21hs020982-schoenthaler-final-report-2015.pdf
    January 01, 2015 - Variables included age, gender, ethnicity, education-level, income, marital status, employment status … differences between enrollees and non-enrollees in terms of socio- demographic characteristics (i.e., age, gender … These results remained unchanged when adjusting for participant age, gender, education, income
  17. digital.ahrq.gov/sites/default/files/docs/citation/r21hs018236-ziemer-final-report-2012.pdf
    January 01, 2012 - Targeted Enrollment Completed Enrollment Completed Protocols (n=105) (n=242) (n=221) Sex/Gender … Sex/Gender Sex/Gender Ethnic Category Female Male Total Female Male Total Female Male
  18. digital.ahrq.gov/sites/default/files/docs/citation/r21hs023960-rudin-final-report-2018.pdf
    January 01, 2018 - For the quantitative analysis, we used patient age, gender, education (less than a bachelor’s degree … gender
  19. digital.ahrq.gov/sites/default/files/docs/publication/r21hs022166-beebe-final-report-2016.pdf
    January 01, 2016 - characteristics were not significantly associated with adherence measures at baseline: age, diagnosis, gender … following characteristics were not significantly associated with adherence at baseline: age, diagnosis, gender
  20. digital.ahrq.gov/sites/default/files/docs/survey/iq-health-patient-enrollment.pdf
    June 16, 2021 - What is your gender?

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