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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 DisplayedOatis CA, Konnyu KJ, Franklin PD
Generating consistent longitudinal real-world data to support research: lessons from physical therapists.
The purpose of this study was to evaluate whether clinicians can generate consistent and standardized real-world data (RWD) to enhance data quality in the course of routine patient care. The researchers collaborated with PT clinicians and experts to generate a web-based comprehensive system to quantify the total dose of PT interventions with type of modality, quantity, intensity, and progressions over time. The system was designed to be implemented in outpatient PT clinics capable of residing alongside or within a clinic’s existing EHR. The study goal was to collect routine clinical data in a format useable by the general population of outpatient physical therapists treating patients post Total Knee Replacement (TKR) and in a structure that would allow easy quantification and analysis across patients, therapists, and sites. Uniform and efficient documentation of real-world PT practice following TKR is essential for the necessary comparative effectiveness research demanded by the currently unexplained practice variation. Over a period of 2 years, physical therapists and PT assistants located in three US states entered data for a total of 161 patients post TKR with 2615 patient visits. No technical problems with the data capture system were reported, and physical therapists noted that data entry was efficient and simple. The researchers concluded that the results demonstrate that routine PT interventions can be captured thoroughly in an efficient, systematic, and consistent manner across real-world therapists and sites.
AHRQ-funded; 75Q80120D00001.
Citation: Oatis CA, Konnyu KJ, Franklin PD .
Generating consistent longitudinal real-world data to support research: lessons from physical therapists.
ACR Open Rheumatol 2022 Sep;4(9):771-74. doi: 10.1002/acr2.11465..
Keywords: Research Methodologies, Patient-Centered Outcomes Research, Evidence-Based Practice
Kumamaru H, Jalbert JJ, Nguyen LL
Utility of automated data-adaptive propensity score method for confounding by indication in comparative effectiveness study in real world Medicare and registry data.
The authors assessed the utility of an automated data-adaptive analytic approach for confounding adjustment when both claims and clinical registry data are available. Using a comparative study example of carotid artery stenting vs. carotid endarterectomy with strong confounding by indication, they found that the automated data-adaptive propensity score performed better than the investigator-specified propensity score in general, but both claims and registry data were needed to adequately control for bias.
AHRQ-funded; 29020050016I.
Citation: Kumamaru H, Jalbert JJ, Nguyen LL .
Utility of automated data-adaptive propensity score method for confounding by indication in comparative effectiveness study in real world Medicare and registry data.
PLoS One 2022 Aug;17(8):e0272975. doi: 10.1371/journal.pone.0272975..
Keywords: Registries, Comparative Effectiveness, Research Methodologies, Patient-Centered Outcomes Research, Evidence-Based Practice