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Search All Research Studies
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- Comparative Effectiveness (1)
- Data (4)
- Disparities (1)
- Evidence-Based Practice (1)
- Health Services Research (HSR) (1)
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- Low-Income (1)
- (-) Medicare (8)
- Medication (1)
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- Racial and Ethnic Minorities (1)
- (-) Research Methodologies (8)
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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.
Results
1 to 8 of 8 Research Studies DisplayedTemkin-Greener H, Mao Y, Li Y
Using Medicare enrollment data to identify beneficiaries in assisted living.
The authors developed an approach for identifying Medicare beneficiaries residing in US assisted living (AL) communities in 2018. Data sources included a national directory of licensed ALs, a file of US addresses and their associated 9-digit ZIP codes (ZIP+4), the Medicare Enrollment Database (EDB), the Master Beneficiary Summary File (MBSF), and the Minimum Data Set (MDS). The cohorts of beneficiaries identified as AL residents exhibited good construct validity; AL residents also showed similar demographic characteristics to the 2018 sample from the National Survey of Long-Term Care Providers. The authors concluded that, as this residential setting continues to grow, future studies will need effective approaches such as their proposed methodology for identifying Medicare beneficiaries who reside in AL facilities in order to evaluate the quality of care they receive.
AHRQ-funded; HS026893.
Citation: Temkin-Greener H, Mao Y, Li Y .
Using Medicare enrollment data to identify beneficiaries in assisted living.
J Am Med Dir Assoc 2023 Mar;24(3):277-83. doi: 10.1016/j.jamda.2022.01.062.
Keywords: Medicare, Nursing Homes, Research Methodologies
Keeney T, Belanger E, Jones RN
High-need phenotypes in Medicare beneficiaries: drivers of variation in utilization and outcomes.
The goal of this study was to identify distinct clinical phenotypes present within high-need Medicare beneficiaries and to examine differences in outcomes between phenotypes. Researchers identified five phenotypes and concluded that their findings represented a first step toward classifying the heterogeneity among high-need Medicare beneficiaries. They recommend further work to identify modifiable utilization patterns between phenotypes to improve the value of healthcare provided to these subpopulations.
AHRQ-funded; HS000011.
Citation: Keeney T, Belanger E, Jones RN .
High-need phenotypes in Medicare beneficiaries: drivers of variation in utilization and outcomes.
J Am Geriatr Soc 2020 Jan;68(1):70-77. doi: 10.1111/jgs.16146..
Keywords: Medicare, Research Methodologies, Outcomes, Health Services Research (HSR)
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.
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
Lewis VA, Joynet Maddox K, Austin AM
Developing and validating a measure to estimate poverty in Medicare administrative data.
The purpose of this study was to develop and validate a measure that estimates individual level poverty in Medicare administrative data that can be used in studies of Medicare claims. The investigators indicate that a poverty score can be calculated using Medicare administrative data for use as a continuous or binary measure and that this measure can improve researchers' ability to identify poverty in Medicare administrative data.
AHRQ-funded; HS024075.
Citation: Lewis VA, Joynet Maddox K, Austin AM .
Developing and validating a measure to estimate poverty in Medicare administrative data.
Med Care 2019 Aug;57(8):601-07. doi: 10.1097/mlr.0000000000001154..
Keywords: Medicare, Data, Low-Income, Research Methodologies
Ghaferi AA, Dimick JB
Practical guide to surgical data sets: Medicare claims data.
In this article, the authors discuss pros and cons of Medicare data and explore commonly studied categories using this data (health policy evaluation, comparative effectiveness research, and outcome variations). They conclude that it is important to frame questions carefully and to use appropriate methods to ensure scientific rigor.
AHRQ-funded; HS023621; HS024403.
Citation: Ghaferi AA, Dimick JB .
Practical guide to surgical data sets: Medicare claims data.
JAMA Surg 2018 Jul;153(7):677-78. doi: 10.1001/jamasurg.2018.0489..
Keywords: Medicare, Data, Surgery, Patient-Centered Outcomes Research, Research Methodologies
Thomas KS, Dosa D, Gozalo PL
A methodology to identify a cohort of Medicare beneficiaries residing in large assisted living facilities using administrative data.
The purpose of this study was to develop and test a methodology to identify Medicare beneficiaries residing in assisted living facilities (ALFs). To this end, the investigators compiled a finder file of 9-digit ZIP codes representing large ALFs (25+ beds) by matching Outcome and Assessment Information Set (OASIS) assessments and Medicare Part B Claims to the Medicare enrollment records and addresses of 11,751 ALFs.
AHRQ-funded; HS000011.
Citation: Thomas KS, Dosa D, Gozalo PL .
A methodology to identify a cohort of Medicare beneficiaries residing in large assisted living facilities using administrative data.
Med Care 2018 Feb;56(2):e10-e15. doi: 10.1097/mlr.0000000000000659..
Keywords: Data, Medicare, Research Methodologies
Goedken AM, Lund BC, Cook EA
Application of a framework for determining number of drugs.
The purpose of the study was to propose a framework and illustrate how that framework can be used to create and succinctly describe various approaches to counting the number of drugs used by patients and to examine the impact of varying individual components of the framework on the resulting drug count.
AHRQ-funded; HS018381.
Citation: Goedken AM, Lund BC, Cook EA .
Application of a framework for determining number of drugs.
BMC Res Notes 2016 May 13;9:272. doi: 10.1186/s13104-016-2076-5.
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Keywords: Medication, Research Methodologies, Heart Disease and Health, Medicare
Cook EA, Schneider KM, Robinson J
Field methods in medical record abstraction: assessing the properties of comparative effectiveness estimates.
Comparative effectiveness studies using Medicare claims data are vulnerable to treatment selection biases and supplemental data from a sample of patients has been recommended for examining the magnitude of this bias. The investigators collected medical record data from a subsample of patients to assess the validity of assumptions and to aid in the interpretation of our estimates. In this paper, they sought to describe and document the process used to collect and validate this supplemental information.
AHRQ-funded; HS018381.
Citation: Cook EA, Schneider KM, Robinson J .
Field methods in medical record abstraction: assessing the properties of comparative effectiveness estimates.
BMC Health Serv Res 2014 Sep 15;14:391. doi: 10.1186/1472-6963-14-391..
Keywords: Comparative Effectiveness, Medicare, Evidence-Based Practice, Research Methodologies