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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 DisplayedSchumacher JR, Zahrieh D, Chow S
Increasing socioeconomically disadvantaged patients' engagement in breast cancer surgery decision-making through a shared decision-making intervention (A231701CD): protocol for a cluster randomised clinical trial.
This paper describes the protocol for a multisite randomized trial to test the impact of a newly developed decision aid to increase socioeconomically disadvantaged patients' engagement in breast cancer surgery decision-making. The study will be conducted through 10 surgical clinics within the National Cancer Institute Community Oncology Research Program (NCORP). A stepped-wedge design with clinics will be randomized to the time of transition from usual care to the decision aid arm. Study participants will be female, aged ≥18 years, with newly diagnosed stage 0-III breast cancer who are planning breast surgery. Data collection will include a baseline surgeon survey, baseline patient survey, audio-recording of the surgeon-patient consultation, a follow-up patient survey and medical record data review. A subset of patients, surgeons, and clinic stakeholders will participate in interviews and focus groups.
AHRQ-funded; HS025194.
Citation: Schumacher JR, Zahrieh D, Chow S .
Increasing socioeconomically disadvantaged patients' engagement in breast cancer surgery decision-making through a shared decision-making intervention (A231701CD): protocol for a cluster randomised clinical trial.
BMJ Open 2022 Nov 17;12(11):e063895. doi: 10.1136/bmjopen-2022-063895..
Keywords: Cancer: Breast Cancer, Cancer, Patient and Family Engagement, Shared Decision Making, Patient-Centered Healthcare, Surgery, Women
Graber 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
Graber J, Lockhart S, Matlock DD
"This is not negotiable. You need to do this…": a directed content analysis of decision making in rehabilitation after knee arthroplasty.
In this qualitative study, researchers sought to understand patients' and physical therapists' perspectives related to decision making during outpatient rehabilitation after total knee arthroplasty (TKA) and further to describe potential barriers and opportunities for shared decision making (SDM) in this setting. They found that physical therapists described using decision-making strategies with varying levels of patient involvement, while both patients and physical therapists described barriers to routine use of SDM in the outpatient setting. They also presented actionable strategies for overcoming these barriers for providers and organizations seeking consistently to use SDM in outpatient TKA rehabilitation.
AHRQ-funded; HS025692.
Citation: Graber J, Lockhart S, Matlock DD .
"This is not negotiable. You need to do this…": a directed content analysis of decision making in rehabilitation after knee arthroplasty.
J Eval Clin Pract 2022 Feb;28(1):99-107. doi: 10.1111/jep.13591..
Keywords: Shared Decision Making, Rehabilitation, Orthopedics, Surgery, Patient-Centered Healthcare