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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 5 of 5 Research Studies DisplayedJoyce NR, Robertson SE, McCreedy E
Assessing the representativeness of cluster randomized trials: evidence from two large pragmatic trials in United States nursing homes.
Researchers linked data from two large nursing home-based pragmatic cluster randomized trials, the high-dose influenza vaccine trial and the Music & Memory Pragmatic TRIal for Nursing Home Residents with ALzheimer's Disease (METRICaL), to nursing home assessments and Medicare fee-for-service claims. Their objective was to compare nursing home and resident characteristics in randomized facilities to non-randomized and ineligible facilities. Facility-level characteristics of randomized nursing homes in both trials were found to differ considerably from those of non-randomized and ineligible facilities; little difference was found in resident-level characteristics between the three groups. The researchers concluded that future investigation should assess the characteristics of clusters that participate in cluster randomized trials when examining the applicability of trial results beyond participating clusters.
AHRQ-funded; HS022998.
Citation: Joyce NR, Robertson SE, McCreedy E .
Assessing the representativeness of cluster randomized trials: evidence from two large pragmatic trials in United States nursing homes.
Clin Trials 2023 Dec; 20(6):613-23. doi: 10.1177/17407745231185055..
Keywords: Nursing Homes, Research Methodologies
Temkin-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
Powell KR, Alexander GL. KR, Alexander GL
Qualitative validation of the nursing home IT maturity staging model.
The goal of the current study was to qualitatively explore issues of validity, specificity, and sensitivity regarding the nursing home (NH) information technology (IT) maturity survey and staging model. Participants who completed the NH IT maturity survey were recruited during pilot testing of the survey and staging model. Cognitive interviewing was used to collect qualitative data.
AHRQ-funded; HS022497.
Citation: Powell KR, Alexander GL. KR, Alexander GL .
Qualitative validation of the nursing home IT maturity staging model.
AHRQ-funded; HS022497..
Keywords: Nursing Homes, Long-Term Care, Health Information Technology (HIT), Research Methodologies
Palmer JA, Mor V, Volandes AE
A dynamic application of PRECIS-2 to evaluate implementation in a pragmatic, cluster randomized clinical trial in two nursing home systems.
This report's objective was to apply PRagmatic Explanatory Continuum Indicator Summary-2 (PRECIS-2) in a novel manner during the actual conduct of the PRagmatic trial Of Video Education in Nursing homes (PROVEN) trial to assess how dynamic adaptations shifted implementation to either a more explanatory or a more pragmatic approach.
AHRQ-funded; HS000011.
Citation: Palmer JA, Mor V, Volandes AE .
A dynamic application of PRECIS-2 to evaluate implementation in a pragmatic, cluster randomized clinical trial in two nursing home systems.
Trials 2018 Aug 22;19(1):453. doi: 10.1186/s13063-018-2817-y..
Keywords: Health Services Research (HSR), Nursing Homes, Research Methodologies
Rhodes W, Olsho LE, Ward AS
AHRQ Author: Spector WD
https://link.springer.com/article/10.1007/s10742-015-0138-0
Use of Monte Carlo simulation to inform design decisions for pairwise cluster randomization.
This paper demonstrates the utility of the Monte Carlo approach in the context of a planned evaluation of an intervention to reduce falls among nursing home residents and provides recommendations for researchers on key design questions, including the choice between cluster randomization and pairwise cluster randomization, and selection of parametric or nonparametric estimators.
AHRQ-authored; AHRQ-funded; 290201000031I.
Citation: Rhodes W, Olsho LE, Ward AS .
Use of Monte Carlo simulation to inform design decisions for pairwise cluster randomization.
Health Serv Outcomes Res Method (2015) 15: 182-203. https://doi.org/10.1007/s10742-015-0138-0..
Keywords: Nursing Homes, Research Methodologies, Falls