National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Chronic Conditions (1)
- Clinical Decision Support (CDS) (2)
- Communication (1)
- Elderly (4)
- Emergency Department (1)
- Evidence-Based Practice (1)
- (-) Falls (9)
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- Health Information Technology (HIT) (5)
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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 9 of 9 Research Studies DisplayedShear K, Rice H, Garabedian PM
Management of fall risk among older adults in diverse primary care settings.
The purpose of this study was to describe how urban and rural primary care staff and older adults manage fall risk and factors relevant to the application of computerized clinical decision support (CCDS). METHODS: Interviews, contextual inquiries, and workflow observations were analyzed. The study found that participants valued fall prevention and described similar approaches. Variations in available resources existed between rural and urban locations. Participants wanted evidence-based guidance incorporated into workflows to bridge gaps in skills.
AHRQ-funded; HS027557.
Citation: Shear K, Rice H, Garabedian PM .
Management of fall risk among older adults in diverse primary care settings.
J Appl Gerontol 2023 Nov; 42(11):2219-32. doi: 10.1177/07334648231185757..
Keywords: Falls, Elderly, Primary Care, Rural Health, Rural/Inner-City Residents
Hekman DJ, Cochran AL, Maru AP
Effectiveness of an emergency department-based machine learning clinical decision support tool to prevent outpatient falls among older adults: protocol for a quasi-experimental study.
This article described a research protocol for evaluating the effectiveness of an automated screening and referral intervention tool for patients receiving falls risk intervention. The study will attempt to quantify the impact of a machine learning (ML) clinical decision support intervention on patient behavior and outcomes. The primary analysis will obtain referral completion rates from different emergency departments. The findings will inform ongoing discussion on the use of ML and artificial intelligence to augment medical decision-making.
AHRQ-funded; HS027735.
Citation: Hekman DJ, Cochran AL, Maru AP .
Effectiveness of an emergency department-based machine learning clinical decision support tool to prevent outpatient falls among older adults: protocol for a quasi-experimental study.
JMIR Res Protoc 2023 Aug 3; 12:e48128. doi: 10.2196/48128..
Keywords: Clinical Decision Support (CDS), Emergency Department, Health Information Technology (HIT), Elderly, Falls
Shear K, Rice H, Garabedian PM
Usability testing of an interoperable computerized clinical decision support tool for fall risk management in primary care.
The purpose of this study was to conduct usability testing of the ASPIRE fall risk management tool for use in divergent primary care clinics. Participants recruited from two sites with different electronic health records and clinical organizations used ASPIRE across two clinical scenarios; they rated ASPIRE usability as above average, based on usability benchmarks. Time spent on tasks decreased significantly between the first and second scenarios, indicating ease of learnability. The authors conclude that ASPIRE could be integrated into diverse organizations, since it allows a tailored implementation without the need to build a new system for each organization. ASPIRE is therefore well positioned to impact the challenge of falls at scale.
AHRQ-funded; HS027557.
Citation: Shear K, Rice H, Garabedian PM .
Usability testing of an interoperable computerized clinical decision support tool for fall risk management in primary care.
Appl Clin Inform 2023 Mar;14(2):212-26. doi: 10.1055/a-2006-4936.
Keywords: Clinical Decision Support (CDS), Shared Decision Making, Health Information Technology (HIT), Falls, Primary Care, Risk, Prevention
Dykes PC, Curtin-Bowen M, Lipsitz S
Cost of inpatient falls and cost-benefit analysis of implementation of an evidence-based fall prevention program.
The financial implications of patient falls within healthcare settings, a primary cause of nonreimbursable negative incidents, have not been thoroughly investigated. The aim of this study was to determine the expenses related to inpatient falls and the potential cost savings achieved through the adoption of a proven fall prevention program. This economic assessment employed a matched case-control approach, utilizing results from an interrupted time series analysis that evaluated the alterations in fall rates after the introduction of an evidence-based fall prevention program to estimate inpatient fall expenses. Subsequently, an economic analysis was conducted to evaluate the cost advantages of implementing the program across two American healthcare systems from June 1, 2013, to August 31, 2019, in New York, New York, and Boston, Massachusetts. All adult patients admitted to the participating units were included in the analysis. Data analysis took place between October 2021 and November 2022. The fall prevention program, based on evidence, was introduced in 33 medical and surgical departments across eight hospitals. The primary outcome was the expense related to inpatient falls. Secondary outcomes included costs and savings linked to the evidence-based fall prevention program. The study found that the case-control study and economic analysis included 10,176 patients who experienced a fall event (with or without injury) and 29,161 matched controls without a fall event (51.9% aged 65-74 years, 67.1% White, and 53.6% male). Prior to the intervention, there were 2,503 falls and 900 injuries; following the intervention, there were 2,078 falls and 758 injuries. Based on a 19% decrease in falls and a 20% decrease in injury-causing falls from the beginning to the end of the post-intervention period, the economic analysis revealed that noninjurious and injurious falls led to cost increases of $35,365 and $36,776, respectively. The introduction of the evidence-based fall prevention program resulted in $14,600 in net avoided expenses for every 1000 patient-days.
AHRQ-funded; HS027557; HS025128
Citation: Dykes PC, Curtin-Bowen M, Lipsitz S .
Cost of inpatient falls and cost-benefit analysis of implementation of an evidence-based fall prevention program.
JAMA Health Forum 2023 Jan 6;4(1):e225125. doi: 10.1001/jamahealthforum.2022.5125.
Keywords: Falls, Healthcare Delivery, Evidence-Based Practice, Prevention
Arling PA, Abrahamson K, Miech EJ
Communication and effectiveness in a US nursing home quality-improvement collaborative.
The investigators explored the relationship between changes in resident health outcomes, practitioner communication patterns, and practitioner perceptions of group effectiveness within a quality-improvement collaborative of nursing home clinicians. They found that reductions in fall rates were highest in facilities where respondents experienced the highest levels of communication with collaborative members outside of scheduled meetings. Clinician and practitioner observations were discussed.
AHRQ-funded; HS018464.
Citation: Arling PA, Abrahamson K, Miech EJ .
Communication and effectiveness in a US nursing home quality-improvement collaborative.
Nurs Health Sci 2014 Sep;16(3):291-7. doi: 10.1111/nhs.12098.
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Keywords: Communication, Falls, Nursing Homes, Quality of Care, Prevention, Quality Improvement
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
Smucker DR, Regan S, Elder NC
Patient safety incidents in home hospice care: the experiences of hospice interdisciplinary team members.
The study objective was to explore the types and characteristics of patient safety incidents in home hospice care from the experiences of hospice interdisciplinary team members. Based on interviews of 19 experienced hospice leaders, the most commonly described categories of patient harm were injuries from falls and inadequate symptom control.
AHRQ-funded; HS018245
Citation: Smucker DR, Regan S, Elder NC .
Patient safety incidents in home hospice care: the experiences of hospice interdisciplinary team members.
J Palliat Med. 2014 May;17(5):540-4. doi: 10.1089/jpm.2013.0111..
Keywords: Patient Safety, Home Healthcare, Falls, Chronic Conditions
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