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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 2 of 2 Research Studies DisplayedGraber J, Kittelson A, Juarez-Colunga E
Comparing "people-like-me" and linear mixed model predictions of functional recovery following knee arthroplasty.
This study compared the relative strengths and weaknesses of 2 prediction model approaches for predicting functional recovery after knee arthroplasty: a neighbors-based "people-like-me" (PLM) approach and a linear mixed model (LMM) approach. The authors used 2 distinct datasets to train and then test PLM and LMM prediction approaches. They used the Timed Up and Go (TUG)-a common test of mobility-to operationalize physical function. Both approaches use patient characteristics and baseline postoperative TUG values to predict TUG recovery from days 1-425 following surgery. They then compared the accuracy and precision of the two approaches. A total of 317 patient records with 1379 TUG observations were used to train approaches, and 456 patient records with 1244 TUG observations were used to test the predictions. Both approaches performed similarly in terms of mean squared error and bias, but the PLM approach provided more accurate and precise estimates of prediction uncertainty.
AHRQ-funded; HS025692.
Citation: Graber J, Kittelson A, Juarez-Colunga E .
Comparing "people-like-me" and linear mixed model predictions of functional recovery following knee arthroplasty.
J Am Med Inform Assoc 2022 Oct 7;29(11):1899-907. doi: 10.1093/jamia/ocac123..
Keywords: Orthopedics, Surgery, Patient-Centered Healthcare, Patient-Centered Outcomes Research, Outcomes
Keeney T, Kumar A, Erler KS
Making the case for patient-reported outcome measures in big-data rehabilitation research: implications for optimizing patient-centered care.
This article discussed the potential of patient-reported outcome measures (PROMs) to transform clinical practice. It also provided examples of health systems that use PROMs to guide care and identified barriers to aggregating data from PROMs in conducting health services research. The authors proposed two priority areas which could help advance rehabilitation health services research: standardization of collecting PROMs data in electronic health records and increased partnerships between rehabilitation providers, researchers, and payors.
AHRQ-funded; HS000011.
Citation: Keeney T, Kumar A, Erler KS .
Making the case for patient-reported outcome measures in big-data rehabilitation research: implications for optimizing patient-centered care.
Arch Phys Med Rehabil 2022 May; 103(5s):S140-s45. doi: 10.1016/j.apmr.2020.12.028..
Keywords: Rehabilitation, Patient-Centered Healthcare, Patient-Centered Outcomes Research, Health Information Technology (HIT), Outcomes