-
digital.ahrq.gov/sites/default/files/docs/citation/r01hs021261-shapiro-final-report-2018.pdf
January 01, 2018 - number (MRN – denotes a
unique patient), admission and discharge date and time, date of birth, and gender … Next, age, gender and
the time-stamps for admissions/discharges were also tested for concordance. … if the date of birth was less than or equal to one year
difference between the HIE and EHR data. 2) Gender … 1.10; CI 1.07-1.12),
patient-hospital county concordance (OR 1 .40; CI 1.36-1.44), male gender
-
digital.ahrq.gov/sites/default/files/docs/publication/r01hs015280-hsu-final-report-2008.pdf
January 01, 2008 - effects, adjusting for facility, year and month of the
measurement, and patient characteristics (age, gender … Patient factors included age, gender, neighborhood socio-economic
status (SES), and race/ethnicity. … effects, adjusting for facility, year and month of the
measurement, and patient characteristics (age, gender … mixed models with random effects at the physician and patient levels, and
adjusted for patient age, gender
-
digital.ahrq.gov/sites/default/files/docs/publication/r36hs021082-graetz-final-report-2012.pdf
January 01, 2012 - use of the
integrated EHR system and to obtain specific clinician characteristics, including age, gender … I included the following
clinician characteristics as covariates: age, gender, race/ethnicity, job title … I included the
following clinician characteristics as covariates: age, gender, race/ethnicity, and job … using random-effects at the patient level
while controlling for patient characteristics (including gender
-
digital.ahrq.gov/sites/default/files/docs/publication/uc1hs015359-bryant-final-report-2008.pdf
January 01, 2008 - Metabolic condition and obesity by gender
Gender n Percent p-value for chi-square
Metabolic … Selected lab results at enrollment by gender
Gender n Mean p-value for t test
Fasting Glucose Male
-
digital.ahrq.gov/sites/default/files/docs/resource/b4_arora_018171_archives_1.pdf
May 15, 2010 - ______________________________
For First Name, enter ____________________________________
For Gender
-
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’).
-
digital.ahrq.gov/sites/default/files/docs/publication/BarrierstoMeaningfulUseAppendixB.pdf
June 16, 2021 - electronically using
certified EHR technology
Record the following demographics: preferred
language, gender
-
digital.ahrq.gov/sites/default/files/docs/citation/health-equity-practical-guide.pdf
February 15, 2024 - Characteristic
(e.g. race and ethnicity, primary language, sexual
orientation, disability, age, and gender … identity)
• Cultural Characteristics and Beliefs
(e.g. cultural rituals that inform care, historical … Equity-related factors to consider in the planning and development phases include age,
gender, race, … ethnicity, primary language, sexual orientation, gender identity, socioeconomic
characteristics, digital … products should
not assume cisgender identifiers and should allow for individuals to identify their gender
-
digital.ahrq.gov/sites/default/files/docs/publication/r03hs022930-valdez-final-report-2015.pdf
January 01, 2015 - Twenty-‐five
individuals
participated
in phase
one with
about equal gender distribution … 2 ethnic groups of primary interest to AHRQ and then on other
demographic characteristics, such as gender … ethnic groups of primary interest to AHRQ and then
on other demographic characteristics, such as gender
-
digital.ahrq.gov/sites/default/files/docs/page/2006BurstinMunier_051111comp.pdf
June 01, 2006 - Equitability—provide care that does not vary in quality
because of personal characteristics such as gender
-
digital.ahrq.gov/sites/default/files/docs/citation/assessingdynamicchroniccareimphndbk_120111comp.pdf
November 01, 2011 - Intervention (n = 2,728) Control (n = 2,729) p-value
Mean Age (SD) 54.1 54.4 (11.9) 53.8 (12.0) 0.05
Gender … 0.09
Gender: Female 59.3 58.1 60.4
Gender: Male 40.7 41.9 39.6
Gender: Total 100.0 100.0 100.0 … The baseline analyses account for differences in age, race/ethnicity, gender and degree of
illness between … The study period analyses were
adjusted to account for differences in age, race/ethnicity, gender, and … The study period analyses were adjusted to account for differences in age,
race/ethnicity, gender, degree
-
digital.ahrq.gov/ahrq-funded-projects/development-dashboards-provide-feedback-home-care-nurses
January 01, 2023 - While some re-hospitalization risk factors, such as race and gender, cannot be controlled by clinicians
-
digital.ahrq.gov/sites/default/files/docs/publication/r36hs018809-valdez-final-report-2012.pdf
January 01, 2012 - first based on
self-identified cultural contexts and then on other demographic characteristics such as gender … Items on the survey addressed age, gender, household
status, education, socioeconomic status, education … For each member of the participant’s social network, the
researcher asked about the member’s age, gender … statistics to characterize the demographic
characteristics of the social network members (i.e., age, gender … include a description
of all ten categories and findings related to other demographic (e.g., age, gender
-
digital.ahrq.gov/sites/default/files/docs/citation/assessingdynamicchroniccareregistry_120111comp.pdf
November 09, 2011 - The
analyses adjust for differences in age, race/ethnicity, gender, degree of illness, and baseline … 0.09
Gender: Female 59.3 58.1 60.4
Gender: Male 40.7 41.9 39.6
Gender: Total 100.0 100.0 … The study period analyses were adjusted to account for
differences in age, race/ethnicity, gender, degree … 0.14 0.07
Gender: Female 59.3 58.4 60.4 60.4 58.0 —
Gender: Male 40.7 41.6 39.6 39.6 … 42.0
Gender: Total 100.0 100.0 100.0 100.0 100.0
Race/Ethnicity <0.01 <0.01
Race/Ethnicity
-
digital.ahrq.gov/sites/default/files/docs/citation/r01hs024556-vest-final-report-2019.pdf
January 01, 2019 - These included: time of the visit
(day of week & morning / afternoon), patient demographics (age, gender … For each provider, we measured their
gender, age, specialty, panel size, and practice size.
-
digital.ahrq.gov/sites/default/files/docs/citation/r36hs021976-gatwood-final-report-2014.pdf
January 01, 2014 - No significant differences in ease of use or usefulness were found between subjects based on
age, gender
-
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
-
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
-
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
-
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