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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 5 of 5 Research Studies DisplayedRice H, Garabedian PM, Shear K
Clinical decision support for fall prevention: defining end-user needs.
The purpose of this study was to identify patient and primary care staff needs for development of a tool that will generate clinical decision support (CDS) to prevent falls and injuries in older adults. Community-dwelling patients aged 60 and over and primary care clinic staff were eligible to participate in the study; all were affiliated with the University of Florida Health Archer Family Health Care primary care clinic and the Brigham & Women's Hospital-affiliated primary care clinics. Through qualitative interviews with patients (n=18) and primary care clinic staff (n=24) user needs were identified and then categorized into the following themes: evidence-based safe exercises; expert guidance; individualized resources; in-person assessment of patient condition; motivational tools; patient understanding of fall risk; personal support networks; systematic communication and workload burden. The study concluded that personalized, actionable, and evidence-based clinical decision support may be able to address some of the many gaps that exist in fall prevention management in older adults.
AHRQ-funded; HS027557.
Citation: Rice H, Garabedian PM, Shear K .
Clinical decision support for fall prevention: defining end-user needs.
Appl Clin Inform 2022 May;13(3):647-55. doi: 10.1055/s-0042-1750360..
Keywords: Elderly, Falls, Prevention, Clinical Decision Support (CDS), Decision Making, Health Information Technology (HIT)
Jacobsohn GC, Leaf M, Liao F
Collaborative design and implementation of a clinical decision support system for automated fall-risk identification and referrals in emergency departments.
The authors used a collaborative and iterative approach to design and implement an automated clinical decision support system (CDS) for Emergency Department (ED) providers to identify and refer older adult ED patients at high risk of future falls. The system was developed using collaborative input from an interdisciplinary design team and integrated seamlessly into existing ED workflows. A key feature of development was the unique combination of patient experience strategies, human-centered design, and implementation science, which allowed for the CDS tool and intervention implementation strategies to be designed simultaneously. Challenges included: usability problems, data inaccessibility, time constraints, low appointment availability, high volume of patients, and others. The study concluded that using the collaborative, iterative approach was successful in achieving all project goals, and could be applied to other cases.
AHRQ-funded; HS024558.
Citation: Jacobsohn GC, Leaf M, Liao F .
Collaborative design and implementation of a clinical decision support system for automated fall-risk identification and referrals in emergency departments.
Healthc 2022 Mar;10(1):100598. doi: 10.1016/j.hjdsi.2021.100598..
Keywords: Elderly, Clinical Decision Support (CDS), Decision Making, Falls, Risk, Emergency Department, Health Information Technology (HIT)
Wang F, Skubic M, Rantz M
Quantitative gait measurement with pulse-Doppler radar for passive in-home gait assessment.
The researchers proposed and validated a low-cost Doppler radar system for passive and continuous in-home gait assessment. Using signal processing techniques, they estimated human torso velocity and leg swing for step recognition. They found that the radar system has achieved a high accuracy on the step time estimation, while the walking speed estimation is systematically affected by the walking path direction.
AHRQ-funded; HS018477.
Citation: Wang F, Skubic M, Rantz M .
Quantitative gait measurement with pulse-Doppler radar for passive in-home gait assessment.
IEEE Trans Biomed Eng 2014 Sep;61(9):2434-43. doi: 10.1109/tbme.2014.2319333..
Keywords: Health Information Technology (HIT), Patient Safety, Falls, Elderly
Enayati M, Banerjee T, Popescu M
A novel web-based depth video rewind approach toward fall preventive interventions in hospitals.
The purpose of this study was to implement a web-based application to provide the ability to rewind and review depth videos captured in hospital rooms to investigate the event chains that led to patient’s fall at a specific time. It proposes a novel web application to ease the process of search and review of the videos by means of new visualization techniques to highlight video frames that contain potential risk of fall based on our previous research.
AHRQ-funded; HS018477.
Citation: Enayati M, Banerjee T, Popescu M .
A novel web-based depth video rewind approach toward fall preventive interventions in hospitals.
Conf Proc IEEE Eng Med Biol Soc 2014;2014:4511-4. doi: 10.1109/embc.2014.6944626..
Keywords: Health Information Technology (HIT), Web-Based, Falls, Hospitals
Stone EE, Skubic M, Back J
Automated health alerts from Kinect-based in-home gait measurements.
This paper details initial investigation of a method for automatically generating alerts to clinicians in response to changes in in-home gait parameters. The three case studies discussed illustrate the potential of automated alerts based on in-home gait data for notifying caregivers of changes in an individual's gait that may be indicative of changes in health status.
AHRQ-funded; HS018477.
Citation: Stone EE, Skubic M, Back J .
Automated health alerts from Kinect-based in-home gait measurements.
Conf Proc IEEE Eng Med Biol Soc 2014;2014:2961-4. doi: 10.1109/embc.2014.6944244..
Keywords: Patient Safety, Health Information Technology (HIT), Elderly, Falls