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Search All Research Studies
Topics
- Arthritis (2)
- Care Management (1)
- Clinical Decision Support (CDS) (2)
- Electronic Health Records (EHRs) (2)
- Evidence-Based Practice (1)
- (-) Health Information Technology (HIT) (6)
- Health Services Research (HSR) (1)
- (-) Orthopedics (6)
- Pain (1)
- Patient-Centered Outcomes Research (1)
- Rehabilitation (2)
- Research Methodologies (1)
- Shared Decision Making (2)
- Surgery (2)
- Telehealth (1)
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 6 of 6 Research Studies DisplayedCochran A, Rayo MF
Toward joint activity design: augmenting user-centered design with heuristics for supporting joint activity.
This paper discusses the development of a clinical decision support application for preventing hospital-acquired infection called GeoHAI, which has yielded positive results in early usability testing and is expected to test positively in supporting joint activity, which will be measured through the novel implementation of Joint Activity Monitoring. The design and implementation of this application will help to unify the work of Human-Centered Design and Cognitive Systems Engineering through demonstration of the possibilities and necessities. The authors are calling this unified process Joint Activity Design, which supports designing for machines to be good team players.
AHRQ-funded; HS027200.
Citation: Cochran A, Rayo MF .
Toward joint activity design: augmenting user-centered design with heuristics for supporting joint activity.
Proc Int Symp Hum Factors Ergon Healthc 2023 Mar; 12(1):19-23. doi: 10.1177/2327857923121006..
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Orthopedics
Lin E, Uhler LM, Finley EP
Incorporating patient-reported outcomes into shared decision-making in the management of patients with osteoarthritis of the knee: a hybrid effectiveness-implementation study protocol.
This article describes a US-based 2-year, two-site hybrid type 1 study to assess clinical effectiveness and implementation of a machine learning-based patient decision aid integrating patient-reported outcomes and clinical variables to support shared decision-making for patients with knee osteoarthritis considering total knee replacement. Study results will be disseminated through conference presentations, publications and professional societies.
AHRQ-funded; HS027037.
Citation: Lin E, Uhler LM, Finley EP .
Incorporating patient-reported outcomes into shared decision-making in the management of patients with osteoarthritis of the knee: a hybrid effectiveness-implementation study protocol.
BMJ Open 2022 Feb 21;12(2):e055933. doi: 10.1136/bmjopen-2021-055933..
Keywords: Clinical Decision Support (CDS), Shared Decision Making, Arthritis, Patient-Centered Outcomes Research, Orthopedics, Health Information Technology (HIT), Evidence-Based Practice
Bell KM, Onyeukwu C, Smith CN
A portable system for remote rehabilitation following a total knee replacement: a pilot randomized controlled clinical study.
The authors have developed and previously validated the accuracy of a remote (wearable) rehabilitation monitoring platform (interACTION). The present study's objective was to assess the feasibility of utilizing interACTION for the remote management of rehabilitation after total knee replacement (TKR) and to determine a preliminary estimate of the effects of the interACTION system on the value of rehabilitation. Findings showed that all patients and physical therapists in the interACTION Group indicated that they would use the system again in the future. Therefore, the next steps are to address the concerns identified in this pilot study and to expand the platform to include behavioral change strategies prior to conducting a full-scale randomized controlled trial.
Citation: Bell KM, Onyeukwu C, Smith CN .
A portable system for remote rehabilitation following a total knee replacement: a pilot randomized controlled clinical study.
Sensors 2020 Oct 27;20(21). doi: 10.3390/s20216118..
Keywords: Orthopedics, Rehabilitation, Health Information Technology (HIT)
Giardina JC, Cha T, Atlas SJ
Validation of an electronic coding algorithm to identify the primary indication of orthopedic surgeries from administrative data.
The purpose of this study was to develop and validate an algorithm to identify patients receiving four elective orthopedic surgeries to promote shared decision-making. The surgeries included were: 1) knee arthroplasty to treat knee osteoarthritis (KOA); 2) hip arthroplasty to treat hip osteoarthritis (HOA); 3) spinal surgery to treat lumbar spinal stenosis (SpS); and 4) spinal surgery to treat lumber herniated disc (HD). Electronic medical records were reviewed to ascertain a “gold standard” determination of the procedure and primary indication status. Each case had electronic algorithms consisting of ICD-10 and CPT codes for each combination and indication applied to their record. A total of 790 procedures were included in the study. The sensitivity of the algorithms ranged from 0.70 (HD) to 0.92 (KOA). Specificity ranged from 0.94 (SpS) to 0.99 (HOA, KOA).
AHRQ-funded; HS000055.
Citation: Giardina JC, Cha T, Atlas SJ .
Validation of an electronic coding algorithm to identify the primary indication of orthopedic surgeries from administrative data.
BMC Med Inform Decis Mak 2020 Aug 12;20(1):187. doi: 10.1186/s12911-020-01175-1.
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Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Orthopedics, Surgery, Arthritis, Shared Decision Making
Weng Y, Tian L, Tedesco D
Trajectory analysis for postoperative pain using electronic health records: a nonparametric method with robust linear regression and K-medians cluster analysis.
Postoperative pain scores are widely monitored and collected in the electronic health record, yet current methods fail to fully leverage the data with fast implementation. This article describes a trajectory analysis for postoperative pain using electronic health records. A robust linear regression was fitted to describe the association between the log-scaled pain score and time from discharge after total knee replacement.
AHRQ-funded; HS024096.
Citation: Weng Y, Tian L, Tedesco D .
Trajectory analysis for postoperative pain using electronic health records: a nonparametric method with robust linear regression and K-medians cluster analysis.
Health Informatics J 2020 Jun;26(2):1404-18. doi: 10.1177/1460458219881339..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Pain, Surgery, Orthopedics, Research Methodologies, Health Services Research (HSR)
Bell KM, Onyeukwu C, McClincy MP
Verification of a portable motion tracking system for remote management of physical rehabilitation of the knee.
The authors of this paper developed a remote rehabilitation management system combining two wireless inertial measurement units (IMUs) with an interactive mobile application and a web-based clinician portal (interACTION). The aim of their study was to verify the accuracy of the IMU-based knee angle measurement system during three common physical therapy exercises, quantify the effect of visual feedback on exercise performance, and understand the qualitative experience of the user interface through survey data.
AHRQ-funded; HS022989.
Citation: Bell KM, Onyeukwu C, McClincy MP .
Verification of a portable motion tracking system for remote management of physical rehabilitation of the knee.
Sensors 2019 Feb 28;19(5). doi: 10.3390/s19051021..
Keywords: Care Management, Health Information Technology (HIT), Orthopedics, Rehabilitation, Telehealth