National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Anxiety (1)
- Behavioral Health (1)
- Children/Adolescents (1)
- Clinical Decision Support (CDS) (3)
- Education: Patient and Caregiver (1)
- Elderly (7)
- Electronic Health Records (EHRs) (1)
- Emergency Department (2)
- Evidence-Based Practice (2)
- (-) Falls (13)
- Healthcare Delivery (1)
- Health Information Technology (HIT) (3)
- Hospitalization (2)
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- Injuries and Wounds (5)
- Inpatient Care (1)
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- Medication (1)
- Nursing (1)
- Nursing Homes (1)
- Patient-Centered Healthcare (1)
- Patient and Family Engagement (2)
- Patient Safety (1)
- Prevention (6)
- Primary Care (2)
- Public Reporting (1)
- Quality Indicators (QIs) (2)
- Quality Measures (2)
- Quality of Care (2)
- Risk (3)
- Rural/Inner-City Residents (1)
- Rural Health (1)
- Shared Decision Making (1)
- Tools & Toolkits (1)
- Training (1)
- Young Adults (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 13 of 13 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
Patterson BW, Jacobsohn GC, Maru AP
Comparing strategies for identifying falls in older adult emergency department visits using EHR data.
This study compared seven different strategies for identifying falls in older adult emergency department (ED) visits using electronic health record (EHR) data. This retrospective cohort study used randomly selected data from 500 ED visits by patients 65 and older at an academic medical center from December 2016 to April 2017. The seven strategies tested were: Chief complaint (CC), ICD codes, Restrictive ICD codes, Broad ICD codes, Combined approaches, Natural language processing (NLP), and Manual abstraction (gold standard). When compared with manual chart review, NLP was found to be the most accurate fall identification strategy, followed by a combination of a restrictive ICD code-based definition with CC.
AHRQ-funded; HS024558.
Citation: Patterson BW, Jacobsohn GC, Maru AP .
Comparing strategies for identifying falls in older adult emergency department visits using EHR data.
J Am Geriatr Soc 2020 Dec;68(12):2965-67. doi: 10.1111/jgs.16831..
Keywords: Elderly, Falls, Emergency Department, Electronic Health Records (EHRs), Health Information Technology (HIT)
Dykes PC, Burns Z, Adelman J
Evaluation of a patient-centered fall-prevention tool kit to reduce falls and injuries: a nonrandomized controlled trial.
The purpose of this study was to assess whether a fall-prevention tool kit that engages patients and families in the fall-prevention process throughout hospitalization is associated with reduced falls and injurious falls. Findings showed that, in this nonrandomized controlled trial, implementation of a fall-prevention tool kit was associated with a significant reduction in falls and related injuries. A patient-care team partnership appeared to be beneficial for prevention of falls and fall-related injuries.
AHRQ-funded; HS023535.
Citation: Dykes PC, Burns Z, Adelman J .
Evaluation of a patient-centered fall-prevention tool kit to reduce falls and injuries: a nonrandomized controlled trial.
JAMA Netw Open 2020 Nov 2;3(11):e2025889. doi: 10.1001/jamanetworkopen.2020.25889..
Keywords: Falls, Injuries and Wounds, Prevention, Tools & Toolkits, Patient and Family Engagement, Patient-Centered Healthcare, Clinical Decision Support (CDS), Hospitalization, Hospitals
Burns Z, Khasnabish S, Hurley AC
Classification of injurious fall severity in hospitalized adults.
The purpose of this project was to refine the National Database of Nursing Quality Indicators Major injury classification to derive a valid and reliable categorization of the types and severities of Major inpatient fall-related injuries. Three subcategories were created: A - injuries that caused temporary functional impairment, major facial injury without internal injury, or disruption of a surgical wound; B - injuries that caused long-term functional impairment or had the potential risk of increased mortality; and C - injuries that had a well-established risk of mortality. These subcategories enhanced the National Database of Nursing Quality Indicators categorization. Using this project’s administration manual, trained personnel can classify injurious fall severity with excellent reliability.
AHRQ-funded; HS025128.
Citation: Burns Z, Khasnabish S, Hurley AC .
Classification of injurious fall severity in hospitalized adults.
J Gerontol A Biol Sci Med Sci 2020 Sep 25;75(10):e138-e44. doi: 10.1093/gerona/glaa004..
Keywords: Elderly, Falls, Injuries and Wounds, Nursing, Quality Measures, Quality Indicators (QIs), Quality of Care, Inpatient Care
Hoffman GJ, Tinetti ME, Ha J
Prehospital and posthospital fall injuries in older US adults.
Investigators estimated the risk of older adult fall injury within and across discrete periods during a 12-month care episode anchored by an acute hospitalization using national data from 2006 to 2014. Participants in this cohort study included Medicare fee-for-service beneficiaries aged 65 and older from the Health and Retirement Study. The investigators found that an episode-based assessment of fall injury illustrated substantial variability in period-specific risks over an extended period including an anchor hospitalization. Risk transitions between periods included sizable increases just before hospitalization that do not fully subside after hospital discharge. Financial incentives to coordinate hospital and posthospital care for patients at risk for fall injury are needed.
AHRQ-funded; HS025838.
Citation: Hoffman GJ, Tinetti ME, Ha J .
Prehospital and posthospital fall injuries in older US adults.
JAMA Netw Open 2020 Aug 3;3(8):e2013243. doi: 10.1001/jamanetworkopen.2020.13243..
Keywords: Elderly, Falls, Injuries and Wounds, Risk, Hospitalization, Medicare
Lurie JD, Zagaria AB, Ellis L
Surface perturbation training to prevent falls in older adults: a highly pragmatic, randomized controlled trial.
This study’s objective was to determine if adding a component of surface-perturbation training to usual gait/balance training was more effective than gait/balance training alone for reducing falls and fall-related injuries in high-risk older adults referred to physical therapy. This multi-center trial took place at 8 outpatient physical therapy clinics. The cohort included 506 patients aged 65 and older at high fall risk. The group was randomized between treatment with and without surface-perturbation treadmill training. The results were that the training did not significantly reduce risk of any fall but did significantly reduce chance of a fall-related injury after the first 3 months.
AHRQ-funded; HS018459.
Citation: Lurie JD, Zagaria AB, Ellis L .
Surface perturbation training to prevent falls in older adults: a highly pragmatic, randomized controlled trial.
Phys Ther 2020 Jul 19;100(7):1153-62. doi: 10.1093/ptj/pzaa023..
Keywords: Elderly, Falls, Prevention, Training
Bushnell GA, Gerhard T, Crystal S
Benzodiazepine treatment and fracture risk in young persons with anxiety disorders.
This study examined whether benzodiazepine treatment increases fall and fracture risk in young persons as it has been shown to do in older adults. They examined whether children (6-17 years) and young adults (18-24) recently diagnosed with anxiety disorder had an increased fracture risk. A cohort of commercially insured children and young adults who had initiated use of benzodiazepine or SSRIs were followed for 3 months, or until fracture, treatment discontinuation or switching or disenrollment occurred. The cohort consisted of 120,715 children and 179,768 young adults. There was an increased fracture rate found in children, but not young adults.
AHRQ-funded; HS026001.
Citation: Bushnell GA, Gerhard T, Crystal S .
Benzodiazepine treatment and fracture risk in young persons with anxiety disorders.
Pediatrics 2020 Jul;146(1):e20193478. doi: 10.1542/peds.2019-3478..
Keywords: Children/Adolescents, Young Adults, Medication, Falls, Injuries and Wounds, Risk, Anxiety, Behavioral Health
Sanghavi P, Pan S, Caudry D
Assessment of nursing home reporting of major injury falls for quality measurement on Nursing Home Compare.
The purpose of this study was to assess the accuracy of nursing home self-report of major injury falls on the Minimum Data Set (MDS). They linked inpatient claims for major injury falls with MDS assessments. The investigators concluded that the nursing home-reported data used for the Nursing Home Compare (NHC) falls measure may be highly inaccurate.
AHRQ-funded; HS026957.
Citation: Sanghavi P, Pan S, Caudry D .
Assessment of nursing home reporting of major injury falls for quality measurement on Nursing Home Compare.
Health Serv Res 2020 Apr;55(2):201-10. doi: 10.1111/1475-6773.13247..
Keywords: Falls, Nursing Homes, Quality Measures, Quality Indicators (QIs), Quality of Care, Elderly, Public Reporting, Injuries and Wounds
Christiansen TL, Lipsitz S, Scanlan M
Patient activation related to fall prevention: a multisite study.
The purpose of this study was to examine the impact of the Fall TIPS (Tailoring Interventions for Patient Safety) program on patient activation related to fall prevention. Researchers used the short form Patient Activation Measure (PAM-13) adapted for fall prevention. Their findings showed that patient activation improved from preintervention to postintervention at all three studied sites. Patients with access to the Fall TIPS program are more activated and engaged in their fall prevention plan. Recommendations include engaging patients in the fall prevention plan to increase their knowledge, skill, and confidence.
AHRQ-funded; HS023535.
Citation: Christiansen TL, Lipsitz S, Scanlan M .
Patient activation related to fall prevention: a multisite study.
Jt Comm J Qual Patient Saf 2020 Mar;46(3):129-35. doi: 10.1016/j.jcjq.2019.11.010..
Keywords: Falls, Prevention, Patient Safety, Patient and Family Engagement, Education: Patient and Caregiver
Khasnabish S, Burns Z, Couch M
Best practices for data visualization: creating and evaluating a report for an evidence-based fall prevention program.
This case report applied principles from the data visualization literature and feedback from nurses to develop an effective report to display adherence with an evidence-based fall prevention program. The literature emphasized that the ideal display maximizes the information communicated, minimizes the cognitive efforts involved with interpretation, and selects the correct type of display. Lessons learned from this study can inform report development for clinicians in implementation science.
AHRQ-funded; HS025128.
Citation: Khasnabish S, Burns Z, Couch M .
Best practices for data visualization: creating and evaluating a report for an evidence-based fall prevention program.
J Am Med Inform Assoc 2020 Feb;27(2):308-14. doi: 10.1093/jamia/ocz190..
Keywords: Falls, Prevention, Evidence-Based Practice