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Total Results: 283 records

Showing results for "gender".

21. Technology for Optimizing Population Care in a Resource-limited Environment (TopCare) - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/publication/r18hs018161-atlas-final-report-2013.pdf
    January 01, 2013 - cancers, unaffiliated outside facility cancer screening rates, total number of eligible patients, gender … practices, age, ethnicity, insurance status, primary language, time since last practice visit, and gender … 13.1 (10.4) 0.09 Patient characteristics, n (%) Age, mean (SD) 51.5 (14.3) 48.5 (14.8) <0.001 Gender … insurance status, primary language, time since last practice visit, patient-physician linkage, and gender … insurance status, primary language, time since last practice visit, patient-physician linkage, and gender

22. Stage 3 Meaningful Use: Primary Care Provider Survey (pdf file)
    digital.ahrq.gov/sites/default/files/docs/survey/stage3-mu-primary-care-provider-survey.pdf
    June 16, 2021 - Gender … Gender: Years Worked in Your Current Primary Practice Setting: Degree(s): Prior to taking this survey

23. PRISM: Personalized Reminders for Immunization using Short Messaging Systems - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/r01hs022677-stockwell-final-report-2019.pdf
    January 01, 2019 - randomize all participants with a 1:1 allocation ratio stratified by (1) clinical site; (2) adolescent’s gender … Note: Messages were altered based on gender and language Example of text message for parent in … Note: Messages were altered based on gender and language Example of text message for parent in contemplation … ) Arm 2, %(n) P Age 92.0 (880) 8.0 (76) 92.0 (437) 8.0 (38) 92.1 (443) 7.9 (38) .95 Gender

24. Impact of Consumer Health Informatics Applications | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/impact-consumer-health-informatics-applications
    January 01, 2023 - differences in patient preferences for CHI based on knowledge, attitudes, beliefs, needs, utilization, gender

25. Pediatric Rules and Reminders | Digital Healthcare Research
    digital.ahrq.gov/pediatric-rules-and-reminders
    January 01, 2023 - For example, if a patient meets the following criteria "Gender = female and Age < 26 years and Oral Contraceptive

26. Medication Reconciliation Technology to Improve Quality of Transitional Care - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/publication/r18hs018183-weiner-final-report-2013.pdf
    January 01, 2013 - • Baseline characteristics: age, gender, race, payer, number of previous admissions, number of medications … • Providers’ characteristics: level of training, gender • On admission and discharge: number and … we included providers and patients from the Medicine Service, without any exclusions based on age, gender

27. Use of HIT to Increase Primary Care Access in Medicaid Patients - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/r21hs020693-wexler-final-report-2014.pdf
    January 01, 2014 - The subject chose the location, date, and gender of the physician they would like to see. … survey prior to randomization to collect demographic and health status information, including age, gender … Groups Intervention Control Pearson’s Chi Square N % N % Total Participants 72 51.4 68 48.6 Gender

28. Creating an Evidence Base for Vision Rehabilitation (pdf file)
    digital.ahrq.gov/sites/default/files/docs/publication/uc1hs015052-stuen-final-report-2008.pdf
    January 01, 2008 - Marital Status: Divorced 9.9 259 Marital Status: Widowed 16.1 1089 Marital Status: Other 7.8 85 Gender … : Female 61.4 4165 Gender: Male 38.6 2614 Racial Background: White 93.2 1091 Racial Background … Single items were used to assess age, gender, race/ethnicity, marital status, and educational background … Marital status, gender, number of VRT hours, and number of PS hours did not emerge as significant predictors … Age, marital status, and gender did not emerge as significant predictors of provider rating of optimal

29. Conversational IT for Better, Safer Pediatric Primary Care (pdf file)
    digital.ahrq.gov/sites/default/files/docs/publication/r18hs017248-adams-final-report-2011.pdf
    January 01, 2011 - Third, the use of a human voice (pre-recorded or computer-generated) of a particular age, gender, accent … 20 Appendix Updated Enrollment Table: Number of Child-subjects Ethnic category Sex/Gender … : Females Sex/Gender: Males Sex/Gender: Total Hispanic or Latino 27 27 54 Not Hispanic or … Latino 236 259 495 Ethnic Category: Total of All Subjects * 263 286 549 Racial categories Sex/Gender … : Females Sex/Gender: Males Sex/Gender: Total American Indian/Alaska Native 0 1 1 Asian 3

30. Promoting Use of an Integrated Personal Health Record for Prevention - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/publication/r21hs018811-krist-final-report-2012.pdf
    January 01, 2012 - Will patients who use the IPHR be more up-to-date with age- and gender-appropriate preventive services … Everyone benefits from preventive care, irrespective of age, gender, or comorbidities. … The services a person should receive depend on age, gender, and risk factors such as family history, … Data elements included in both databases were patient identification number, age, gender, vital signs … We defined overall Effectiveness as (a) the average percent of up-to-date age and gender appropriate

31. Health Information Technology in Ambulatory Care Settings: Effects on Quality and Disparities | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/health-information-technology-ambulatory-care-settings-effects-quality-and-disparities
    January 01, 2023 - measures and ambulatory care quality as measured by local rates of hospitalizations, and also analyzed gender

32. SAFEHealth: Secure Architecture for Exchanging Health Information - Grant Final Report Grant ID: 1UC1HS015220 (pdf file)
    digital.ahrq.gov/sites/default/files/docs/publication/uc1hs015220-garber-final-report-2009.pdf
    January 01, 2009 - central Enterprise Master Person Index (EMPI) was pre-loaded with the demographic information (name, gender … A central EMPI was pre-loaded with the demographic data (name, gender, date of birth, and zip code) … It uses name (first, middle, last), gender, date of birth, and zip code for probabilistic matching purposes … It has flexibility in terms of how middle names match and accommodates aliases and gender changes.

33. Online Counseling to Enable Lifestyle-Focused Obesity Treatment in Primary Care - 2012 | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/online-counseling-enable-lifestyle-focused-obesity-treatment-primary-care/annual-summary/2012
    January 01, 2012 - Recruitment targeted a group of participants who vary in terms of gender, body mass index, comorbidity

34. Identification of Patients with Low Life Expectancy | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/identification-patients-low-life-expectancy
    January 01, 2023 - However, CDS typically employs a one-size-fits-all methodology that may consider only a patient's age and gender

35. Mayo-Smith MF et al. 2007 "Factors associated with improved completion of computerized clinical reminders across a large healthcare system." | Digital Healthcare Research
    digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/mayo-smith-mf-et-al
    January 01, 2023 - determined based on patient's diagnoses, laboratory results, and demographic characteristics (such as age, gender

36. Functional Assessment Screening Patient Reported Information: FAST-PRI - 2012 | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/functional-assessment-screening-patient-reported-information-fast-pri/annual-summary/2012
    January 01, 2012 - intervention and control arms with respect to training status (resident versus attending physician) and gender

37. The Effects of Age, Cognition, and Health Literacy on Use of a Patient EMR - 2010 | Digital Healthcare Research
    digital.ahrq.gov/ahrq-funded-projects/effects-age-cognition-and-health-literacy-use-patient-emr/annual-summary/2010
    January 01, 2010 - Participants will be given a background questionnaire to gather data including gender, age, ethnicity

38. Dansky KH et al. 1999 "Electronic medical records: are physicians ready?" | Digital Healthcare Research
    digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/dansky-kh-et-al-1999
    January 01, 1999 - "[F]emale gender, not owning a computer, and few or no years of computer use were positively and significantly

39. Assessing the Relationship between Care Processes and Clinical Decision Support for Order Entry – Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/r03hs0S26266-zhang-final-report-2022.pdf
    January 01, 2022 - Study data were derived from the EHR, including patient demographics (date of birth, gender, race, … clinical role, levels of experience (attending physician, resident, and nurse practitioner), and gender … Intention to use did not significantly differ by gender or clinician role. … The gender distribution between male and female is 54 (46.6%) vs. 62(53.4%) and attending physicians … We also found trends across gender and clinician types.

40. Providing Evidence and Developing a Toolkit to Accelerate the Adoption of Patient Photographs in Electronic Health Records - Final Report (pdf file)
    digital.ahrq.gov/sites/default/files/docs/citation/r01hs024713-adelman-final-report-2023.pdf
    January 01, 2023 - click to proceed; and an ID-reentry alert, requiring the clinician to enter the patient’s initials, gender … These results were consistent across all subgroups by age, gender, race, ethnicity, and insurance status … , WC); hospital site; clinical setting (inpatient, emergency department, outpatient); patient age, gender … 1,226,730 (30.5) ≥70 1,108,039 (27.7) 1,068,563 (27.0) 1,121,115 (28.4) 1,078,163 (26.8) Patient gender … 1,651,597 (27.5) 4,923,713 (30.9) ≥70 2,828,366 (28.4) 1,547,519 (25.8) 4,375,885 (27.4) Patient gender