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Showing results for "gender".

  1. digital.ahrq.gov/ahrq-funded-projects/leveraging-health-information-technology-avoid-unnecessary-asymptomatic-carotid-revascularization/citation-3
    January 01, 2023 - Gender-specific 30-day outcomes after carotid endarterectomy and carotid artery stenting in the Society … Gender-specific 30-day outcomes after carotid endarterectomy and carotid artery stenting in the Society
  2. Slide 1 (ppt file)

    digital.ahrq.gov/sites/default/files/docs/page/KING_3_II.ppt
    June 16, 2021 - Our initial searches were based upon an exact match of SSN, name, DOB and Gender. … Identifier Information -Patient Identifier numbers -Facility identifier -Patient name -Date of birth -Gender … Identifier Information -Patient Identifier numbers -Facility identifier -Patient name -Date of birth -Gender … Identifier Information -Patient Identifier numbers -Facility identifier -Patient name -Date of birth -Gender … Identifier Information -Patient Identifier numbers -Facility identifier -Patient name -Date of birth -Gender
  3. digital.ahrq.gov/sites/default/files/docs/page/Frisse.ppt
    June 08, 2005 - Identifier Information - Patient Identifier numbers - Facility identifier - Patient name - Date of birth - Gender … Identifier Information - Patient Identifier numbers - Facility identifier - Patient name - Date of birth - Gender … Identifier Information - Patient Identifier numbers - Facility identifier - Patient name - Date of birth - Gender … Identifier Information - Patient Identifier numbers - Facility identifier - Patient name - Date of birth - Gender … Identifier Information - Patient Identifier numbers - Facility identifier - Patient name - Date of birth - Gender
  4. digital.ahrq.gov/sites/default/files/docs/publication/r18hs017030-turchin-final-report-2011.pdf
    January 01, 2011 - Confounder variables included patient age, gender, race, primary language, health insurance status, … Confounder variables included patient age, gender, race, primary language, health insurance status, … Patient age, gender, race, primary language, health insurance status, median income by zip code, most … Confounder variables included patient age, gender, race, primary language, health insurance status, … Confounder variables included patient age, gender, race, primary language, health insurance status,
  5. digital.ahrq.gov/sites/default/files/docs/citation/r13hs029275-final-report-gisondi-2023.pdf
    January 01, 2023 - Systems & Access to Care • Informatics • Population Health & Social Emergency Medicine • Sex and Gender … Social Emergency Medicine, (7) Biomedical Ethics, (8) Health Professions Education, and (9) Sex and Gender … Sex and Gender 1. … How can we translate relevant scientific research regarding sex and gender- specific care from other … How do patient and clinician gender identity (or other attributes) affect clinical decision making and
  6. digital.ahrq.gov/principal-investigator/goodney-philip
    January 01, 2023 - Information Technology to Avoid Unnecessary Asymptomatic Carotid Revascularization Gender-specific … Gender-specific 30-day outcomes after carotid endarterectomy and carotid artery stenting in the Society
  7. digital.ahrq.gov/ahrq-funded-projects/monitoring-intensification-treatment-hyperglycemia-and-hyperlipidemia/annual-summary/2010
    January 01, 2010 - associated with higher probability of treatment intensification while government insurance and female gender … strongly associated with increased probability of intensification while government insurance and female gender … intensification while having a government insurance, speaking English as the primary language, and female gender
  8. digital.ahrq.gov/population/men
    January 01, 2023 - eCoach: Development and Pilot Testing of a Decision Aid for Prostate Cancer Gender-specific … Gender-specific 30-day outcomes after carotid endarterectomy and carotid artery stenting in the Society
  9. digital.ahrq.gov/ahrq-funded-projects/computable-social-factor-phenotyping-using-ehr-and-hie-data
    January 01, 2023 - Assess the reliability (bias) of patient-level computable social factor phenotypes across patient gender … Finally, the reliability or bias of patient-level computable social factor phenotypes across patient gender
  10. digital.ahrq.gov/sites/default/files/docs/publication/r01hs015175-weissman-final-report-2007.pdf
    January 01, 2007 - Patient IDs were linked to enrollment files to obtain age, gender, and insurance plan. … : Male 27,458 (42.4%) 643,375 (43.9%) 670,833 (43.8%) Gender: Female 37,291 (57.6%) 823,189 (56.1%) … ) Gender: Missing 145 (12.1%) 1,820 (5.3%) 1,965 (5.5%) Age: under 35 138 (11.5%) 1,784 (5.2%) 1,922 … : Male 595 (48.9) Gender: Female 461 (37.9) Gender: Missing 161 (13.2) Practice size: 1-3 348 (28.6 … : Male ref - ref - Gender: Female 1.041 [0.880 – 1.23] 1.03 [0.879 – 1.22] Discussion.
  11. digital.ahrq.gov/sites/default/files/docs/citation/r21hs023661-cutrona-final-report-2017.pdf
    January 01, 2017 - We classified patients’ age (65-74; 75-84; ≥85 years) and gender. … PCP characteristics included in the analyses were age (<50 vs ≥50 years), gender, number of patient … alert type, timing of alert opening, person opening (PCP or other), provider characteristics (age, gender … , number of patient encounters in a year, and specialty), patient characteristics (age, gender, number … Characteristics included age, gender, number of hospitalizations and of office visits during the prior
  12. digital.ahrq.gov/sites/default/files/docs/publication/r18hs017786-ritchie-final-report-2012.pdf
    January 01, 2012 - : Male 178/346 51.4% 73/132 55.3% 0.51 Gender: Female 168/346 48.6% 59/132 44.7% Race: White 165/346 … In addition to having a diverse population by gender and ethnicity, participants came from 53 of 67 … % Intervention N Intervention % p-value Age (Mean) 62.98 13.1% 63.27 13.4% 62.67 13% 0.61 Gender … : Male 250/476 52.5% 141/244 57.8% 109/232 47% 0.02 Gender: Female 226/476 47.5% 103/244 42.2% 123/232 … Therefore, in all subsequent analyses, gender was included as covariate in the regression models.
  13. digital.ahrq.gov/sites/default/files/docs/citation/r01hs023383-mccarty-final-report-2020.pdf
    January 01, 2020 - Results After adjusting for age, gender, and clinic, intervention adolescents were 36% more likely than … Yes Drugs and Alcohol Alcohol Low risk for both quantity and frequency (depending on age and gender … ) Moderate risk for frequency and low risk for quantity (depending on age and gender) High risk … on either frequency or quantity (depending on age and gender) Marijuana/Other Substance Use None … Adolescent views on comprehensive health risk assessment and counseling: assessing gender differences
  14. digital.ahrq.gov/sites/default/files/docs/survey/patient-use-computer.pdf
    June 16, 2021 - What is your gender? (circle one) 1-male 2-female e. What is your race? … What is your gender? (circle one) 1- Male 2- Female e. What is your race?
  15. digital.ahrq.gov/sites/default/files/docs/citation/r21hs026322-dorsch-final-report-2021.pdf
    January 01, 2021 - Risk clarification factors were also separated into two categories – demographics (age and gender) and … view=results&widget=gauge&age=64&gender=female#/ https://afibchadsvasc.appspot.com/? … view=choices&widget=gauge&age=64&gender=female#/ https://afibchadsvasc.appspot.com/? … view=results&widget=gauge&age=64&gender=female&/ https://afibchadsvasc.appspot.com/? … view=choices&widget=gauge&age=64&gender=female&/ A user-center designed anticoagulation shared decision-making
  16. digital.ahrq.gov/ahrq-funded-projects/leveraging-health-information-technology-avoid-unnecessary-asymptomatic-carotid-revascularization
    January 01, 2023 - Retrospective Technology: Clinical Decision Support System , Registry Population: Adults , Medicare Gender-specific … Gender-specific 30-day outcomes after carotid endarterectomy and carotid artery stenting in the Society
  17. digital.ahrq.gov/ahrq-funded-projects/interactive-preventive-health-record-iphr-promote-patient-centered-care/annual-summary/2011
    January 01, 2011 - A randomly selected sample of 5,500 of the practices' 228,000 patients, stratified by age and gender, … invitation from a patient's primary care clinician to use MyPreventiveCare increases delivery of age- and gender-appropriate
  18. digital.ahrq.gov/sites/default/files/docs/citation/r18hs017046-krist-final-report-2011.pdf
    January 01, 2011 - Increased delivery of age and gender appropriate clinical preventive services; 4 3. … The PHRs that make preventive recommendations tend to use simple age- and gender-based logic, ignoring … Selected patients were stratified equally by practice site, gender, and age category (18-34, 35-49, … The age categories and gender stratifications were selected to ensure that the study population would … EMR data elements included all 8 values and dates for age, gender, diagnoses, medications
  19. digital.ahrq.gov/ahrq-funded-projects/improving-safety-and-quality-emergency-care-using-machine-learning-based
    September 30, 2023 - As part of the research, biases of the algorithms will be measured by assessing bias by race, gender, … greater odds of mis-triage compared with White patients, and found additional disparities by income and gender
  20. digital.ahrq.gov/sites/default/files/docs/citation/r21hs024071-lindquist-final-report-2018.pdf
    January 01, 2018 - An adjusted model added covariates for caregiver age and caregiver gender. … EPP message sent predicted by living in multiple settings and covariates (caregiver age, caregiver gender … After adjusting for caregiver age and caregiver gender, seniors who live in multiple settings were less … After adjusting for caregiver age and caregiver gender, seniors who live in multiple settings were less … 1.62 (1.05 – 2.51) Adjusted #2: CG age, CG gender, Senior residence, senior self-rated physical

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