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Total Results: 283 records

Showing results for "gender".

  1. digital.ahrq.gov/ahrq-funded-projects/online-counseling-enable-lifestyle-focused-obesity-treatment-primary-care/annual-summary/2011
    January 01, 2011 - Recruitment targeted a group of participants who vary in terms of gender, body mass index, comorbidity
  2. digital.ahrq.gov/ahrq-funded-projects/online-counseling-enable-lifestyle-focused-obesity-treatment-primary-care/annual-summary/2010
    January 01, 2010 - Recruitment is targeted to a diverse group of participants in terms of gender, body mass index, comorbidity
  3. digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/kuilboer-mm-et-al-2006
    January 01, 2006 - provide context for the measurements the system also provides expected values for the patient based on gender
  4. digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/hoch-i-et-al-2003
    January 01, 2003 - Physician age and gender played a small part in predicting compliance to the alert, but specialty and
  5. digital.ahrq.gov/program-overview/research-stories/machine-learning-improve-patient-triage-emergency-department
    January 01, 2023 - greater odds of mis-triage compared with White patients, and found additional disparities by income and gender
  6. digital.ahrq.gov/sites/default/files/docs/citation/r21hs026075-zhu-final-report-2022.pdf
    January 01, 2022 - Identifiers MRN, SSN, patient study ID MRN, patient study ID SSN, patient study ID Demographics Age, gender … , race/ethnicity, insurance status Age, gender, race/ethnicity, insurance status Age, gender, … In both models, we controlled for gender, race, payer type, and treatment regimens. … 0.15 0.11 0.20 < 0.0001 Control Variables CCI 0.94 0.90 0.98 0.005 Age 0.97 0.96 0.98 < 0.0001 Gender
  7. digital.ahrq.gov/sites/default/files/docs/publication/r18hs017817-field-final-report-2012.pdf
    January 01, 2012 - The age and gender characteristics of the study population (n=25,942) were similar to those of the general … Age and gender characteristics of study population vs. … information from claims data, we selected SNF discharges from the previous 1.5 years for which the patient’s gender … For comparison, we identified 313 discharges from the previous 1.5 years matched on gender, age and … Non-intervention period n=100 N(%) p-value Age mean (standard deviation) 82.7 (6.5) 82.2 (6.8) 0.6835 Gender
  8. digital.ahrq.gov/ahrq-funded-projects/maintaining-activity-and-nutrition-through-technology-assisted-innovation-prim/annual-summary/2012
    January 01, 2012 - will recruit a sample that reflects the racial and ethnic mix of the region and is diverse in terms of gender
  9. digital.ahrq.gov/sites/default/files/docs/publication/r18hs017233-fox-final-report-2011.pdf
    January 01, 2011 - Additionally, the IRB process excluded the collection of gender in the chart abstraction process, stating … that in small, rural areas, collection of gender could increase the likelihood that someone could be … sample of patients enrolled in the patient survey sample, which the IRB did allow the collection of gender … / Unknown n/a n/a 791 16.8% Racial Categories: Total of All Subjects 2957 100.0 4697 100.0% BY GENDER … Greenville Clinic Pre Baseline Total Post Baseline Total N 49 50 50 50 50 48 45 51 194 199 GENDER
  10. digital.ahrq.gov/sites/default/files/docs/citation/r21hs021799-cohen-final-report-2018.pdf
    January 01, 2018 - Parents completed the Family Information Form, which assessed demographic information (e.g, child’s age, gender … This form queries about the parent’s relation to child, gender, age, ethnicity, race, education, and … income; and child’s age, gender, ethnicity, race, and relevant medical history (relatives who have … Specifically, to examine gender differences, t-tests will be used, and Analyses of Variance (ANOVAs)
  11. digital.ahrq.gov/ahrq-funded-projects/use-hit-increase-primary-care-access-medicaid-patients
    January 01, 2023 - scheduled to follow up with a primary care physician of the patient’s preference as to location, date, and gender
  12. digital.ahrq.gov/ahrq-funded-projects/crossing-quality-assessment-chasm-aligning-measured-and-true-quality-care
    January 01, 2023 - While traditional risk factors of age, gender, and socioeconomic status had some explanatory power in
  13. digital.ahrq.gov/ahrq-funded-projects/medication-reconciliation-improve-quality-transitional-care/annual-summary/2011
    January 01, 2011 - Associations between interventions and outcomes will be summarized regarding factors related to payer, race, gender
  14. digital.ahrq.gov/sites/default/files/docs/citation/r01hs023808-grannis-final-report-2023.pdf
    January 01, 2023 - The simplest approach for matching records compares selected data elements such as name, birth date, gender … Further, a significant proportion of missing gender values can be imputed using first names that are … closely aligned with one gender (e.g., “Mary” implies “female”; “John” implies “male”). … For example, agreement status for first name and gender fields are statistically correlated, e.g., two … persons with a first name of ‘Anna’ are likely agree on gender (‘Female’).
  15. digital.ahrq.gov/sites/default/files/docs/citation/r36hs023057-jackman-final-report-2016.pdf
    January 01, 2016 - Model 2 adjusts for age, gender, self-reported STD diagnosis history, in addition to all variables kept … In the adjust logistic regression model adjusted for age and gender, participants reporting complete … 304) Covariates Model 1 (Unadjusted) n=354 Model 2 (Adjusted) n=304 OR 95% CI OR 95% CI Gender … had more than twice the odds of being likely adopters of dyadic PHR utility – adjusted for age and gender … There was also a significant association between this belief and gender.
  16. digital.ahrq.gov/sites/default/files/docs/publication/r18hs017018-lehmann-final-report-2010.pdf
    January 01, 2010 - We did not exclude any person based on race, ethnicity, or gender. … and medical variables such as patient insurance, age, race, number of visits to CHC in last year, gender … Explanatory variables included gender, age, provider type, race, panel cap, number of overdue patients … Models were adjusted for age, gender, clinical center, number of index medication classes prescribed … At the provider level, gender, provider type, age, and how many overdue patients the provider had in
  17. digital.ahrq.gov/sites/default/files/docs/citation/r21hs020316-garfield-final-report-2014.pdf
    January 01, 2014 - points Several socio-demographic characteristics were collected and used in the analyses: Age and gender … uncertainty, lingering medical concerns, and partner-related adjustment concerns that differed by gender … First, user interface designers should carefully consider incorporating gender- sensitive user interfaces … NICU to home provide valuable insights into technology-based intervention designs that accommodate gender … Future research should include more parents with diverse backgrounds and a more gender-related interview
  18. digital.ahrq.gov/ahrq-funded-projects/using-health-information-technology-improve-delivery-hpv-vaccine/annual-summary/2011
    January 01, 2011 - 52 percent of parents would accept TM reminders, with no difference in acceptability based on parent gender
  19. digital.ahrq.gov/ahrq-funded-projects/using-health-information-technology-improve-delivery-hpv-vaccine/annual-summary/2012
    January 01, 2012 - parents would accept text messaging reminders, with no difference in acceptability based on parent gender
  20. digital.ahrq.gov/ahrq-funded-projects/closing-feedback-loop-improve-diagnostic-quality/annual-summary/2010
    January 01, 2010 - acuity, as measured by triage class, admitting service, specialty, admission diagnosis, age, race, or gender

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