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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 3 of 3 Research Studies DisplayedJarrin OF, Nyandege AN, Grafova IB
Validity of race and ethnicity codes in Medicare administrative data compared with gold-standard self-reported race collected during routine home health care visits.
The authors compared the validity of two race/ethnicity variables found in Medicare administrative data against a gold-standard source also available in the Medicare data warehouse. They found that the race/ethnicity variables contained in Medicare administrative data for minority health disparities research can be improved through the use of self-reported race/ethnicity data. They conclude that future work to improve the accuracy of Medicare beneficiaries' race/ethnicity data should incorporate and augment the self-reported race/ethnicity data contained in assessment and survey data, available within the Medicare data warehouse.
AHRQ-funded; HS022406.
Citation: Jarrin OF, Nyandege AN, Grafova IB .
Validity of race and ethnicity codes in Medicare administrative data compared with gold-standard self-reported race collected during routine home health care visits.
Med Care 2020 Jan;58(1):e1-e8. doi: 10.1097/mlr.0000000000001216..
Keywords: Racial and Ethnic Minorities, Home Healthcare, Medicare, Data, Disparities, Research Methodologies
Yang Y, Bass EJ, Sockolow PS
Knowledge elicitation of homecare admission decision making processes via focus group, member checking and data visualization.
Researchers elicit knowledge related to expert decision-making processes to inform information technology design and related interventions. In this study, the investigators examine knowledge elicitation of homecare admission decision making processes via focus group, member checking and data visualization. The investigators concluded that the data collection and validation methodology showed promise for knowledge elicitation in time-constrained situations.
AHRQ-funded; HS024537.
Citation: Yang Y, Bass EJ, Sockolow PS .
Knowledge elicitation of homecare admission decision making processes via focus group, member checking and data visualization.
AMIA Annu Symp Proc 2018 Dec 5;2018:1127-36..
Keywords: Home Healthcare, Shared Decision Making, Health Information Technology (HIT), Data
Sockolow PS, Yang Y, Bass EJ
Data visualization of home care admission nurses' decision-making.
This study investigated nurses’ decision making regarding hospital to home care admissions. They conducted a focus group case study with six admitting home health nurses at a rural agency in Pennsylvania and analyzed the data using thematic analysis.
AHRQ-funded; HS024537.
Citation: Sockolow PS, Yang Y, Bass EJ .
Data visualization of home care admission nurses' decision-making.
AMIA Annu Symp Proc 2018 Apr 16;2017:1597-606..
Keywords: Data, Shared Decision Making, Home Healthcare, Nursing, Transitions of Care