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Search All Research Studies
AHRQ Research Studies Date
Topics
- Adverse Drug Events (ADE) (1)
- Adverse Events (3)
- Dementia (1)
- Elderly (4)
- (-) Falls (7)
- Health Information Technology (HIT) (1)
- Hospitals (1)
- Injuries and Wounds (1)
- Medical Errors (1)
- Medication (1)
- Medication: Safety (1)
- Neurological Disorders (2)
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- Patient-Centered Outcomes Research (1)
- (-) Patient Safety (7)
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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.
Results
1 to 7 of 7 Research Studies DisplayedHignett S, Wolf L, Taylor E
Firefighting to innovation: using human factors and ergonomics to tackle slip, trip, and fall risks in hospitals.
The aim of this study was to use a theoretical model (bench) for human factors and ergonomics (HFE) and a comparison with occupational slips, trips, and falls (STFs) risk management to discuss patient STF interventions (bedside). : Three case studies are used to discuss how HFE has been, or could be, applied to STF risk management.
AHRQ-funded; HS021824.
Citation: Hignett S, Wolf L, Taylor E .
Firefighting to innovation: using human factors and ergonomics to tackle slip, trip, and fall risks in hospitals.
Hum Factors 2015 Nov;57(7):1195-207. doi: 10.1177/0018720815593642.
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Keywords: Patient Safety, Risk, Falls, Hospitals
Callaghan B, Kerber K, Langa KM
Longitudinal patient-oriented outcomes in neuropathy: importance of early detection and falls.
This study evaluated longitudinal patient-oriented outcomes in peripheral neuropathy over a 14-year time period including time before and after diagnosis. It concluded that, in older persons, differences in falls, pain, and self-rated health can be detected 3–5 years prior to peripheral neuropathy diagnosis, but only falls deteriorate more rapidly over time in neuropathy cases compared to controls.
AHRQ-funded; HS017690; HS022258.
Citation: Callaghan B, Kerber K, Langa KM .
Longitudinal patient-oriented outcomes in neuropathy: importance of early detection and falls.
Neurology 2015 Jul 7;85(1):71-9. doi: 10.1212/wnl.0000000000001714..
Keywords: Patient-Centered Outcomes Research, Neurological Disorders, Falls, Elderly, Patient Safety
Reiter-Palmon R, Kennel V, Allen JA
Naturalistic decision making in after-action review meetings: the implementation of and learning from post-fall huddles.
In this study, the authors added to our understanding of Naturalistic Decision Making (NDM) in healthcare and how After Action Reviews (AARs) can be utilized as a learning tool to reduce errors. They found that the use of self-guided post-fall huddles increased over the time of the project, the types of errors identified as contributing to the patient fall changed, and the proportion of falls with less adverse effects increased during the project time period. They concluded that , over time, self-guided AARs can be useful for some aspects of learning from errors.
AHRQ-funded; HS021429.
Citation: Reiter-Palmon R, Kennel V, Allen JA .
Naturalistic decision making in after-action review meetings: the implementation of and learning from post-fall huddles.
J Occup Organ Psychol 2015 Jun;88(2):322-40. doi: 10.1111/joop.12084.
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Keywords: Adverse Events, Falls, Shared Decision Making, Medical Errors, Patient Safety
Su BY, Ho KC, Rantz MJ
Doppler radar fall activity detection using the wavelet transform.
The authors propose the use of Wavelet transform (WT) to detect human falls using a ceiling mounted Doppler range control radar. Evaluations based on the data collected in the lab, in the bathrooms, and in the senior residence apartment validate the promising and robust performance of the proposed WT fall activity detector.
AHRQ-funded; HS018477.
Citation: Su BY, Ho KC, Rantz MJ .
Doppler radar fall activity detection using the wavelet transform.
IEEE Trans Biomed Eng 2015 Mar;62(3):865-75. doi: 10.1109/tbme.2014.2367038..
Keywords: Falls, Patient Safety, Adverse Events
Stone E, Skubic M, Rantz M
Average in-home gait speed: investigation of a new metric for mobility and fall risk assessment of elders.
This study assessed how a new metric, average in-home gait speed (AIGS), measured using a low-cost, continuous, environmentally mounted monitoring system, compares to a set of traditional physical performance instruments used for mobility and fall risk assessment of elderly adults. It found that, using the ability of an instrument to predict how an individual would score on all the instruments as a metric, AIGS performs best, having better predictive ability than the traditional instruments.
AHRQ-funded; HS018477.
Citation: Stone E, Skubic M, Rantz M .
Average in-home gait speed: investigation of a new metric for mobility and fall risk assessment of elders.
Gait Posture 2015 Jan;41(1):57-62. doi: 10.1016/j.gaitpost.2014.08.019..
Keywords: Patient Safety, Falls, Elderly, Risk
Aspinall SL, Zhao X, Semia TP
Epidemiology of drug-disease interactions in older veteran nursing home residents.
The objective of this study was to assess the prevalence of and factors associated with potentially inappropriate drug– disease combinations according to the AGS 2012 Beers criteria that are clinically important in elderly adults residing in Veterans Affairs Community Living Centers. It found that drug-disease interactions were common in older residents with dementia or cognitive impairment or a history of falls or hip fracture.
AHRQ-funded; HS018721.
Citation: Aspinall SL, Zhao X, Semia TP .
Epidemiology of drug-disease interactions in older veteran nursing home residents.
J Am Geriatr Soc 2015 Jan;63(1):77-84. doi: 10.1111/jgs.13197..
Keywords: Adverse Drug Events (ADE), Adverse Events, Dementia, Elderly, Falls, Injuries and Wounds, Medication, Medication: Safety, Neurological Disorders, Nursing Homes, Patient Safety
Stone EE, Skubic M
Fall detection in homes of older adults using the Microsoft Kinect.
The researchers present a method for detecting falls in the homes of older adults using the Microsoft Kinect and a two-stage fall detection system. The method is compared against five state-of-the-art fall detection algorithms and significantly better results are achieved.
AHRQ-funded; HS018477.
Citation: Stone EE, Skubic M .
Fall detection in homes of older adults using the Microsoft Kinect.
IEEE J Biomed Health Inform 2015 Jan;19(1):290-301. doi: 10.1109/jbhi.2014.2312180..
Keywords: Patient Safety, Falls, Elderly, Health Information Technology (HIT)