National Healthcare Quality and Disparities Report
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Topics
- Adverse Drug Events (ADE) (1)
- Adverse Events (1)
- Cancer (1)
- Cancer: Cervical Cancer (1)
- Cancer: Colorectal Cancer (1)
- Cardiovascular Conditions (1)
- (-) Clinical Decision Support (CDS) (13)
- Colonoscopy (1)
- Domestic Violence (1)
- Elderly (1)
- Evidence-Based Practice (4)
- Falls (4)
- Guidelines (1)
- Health Information Exchange (HIE) (1)
- Health Information Technology (HIT) (7)
- Hospitalization (1)
- Hospitals (3)
- Injuries and Wounds (2)
- Inpatient Care (1)
- Long-Term Care (1)
- Medical Errors (1)
- Medication (1)
- Medication: Safety (1)
- Nursing Homes (1)
- Patient-Centered Healthcare (1)
- Patient-Centered Outcomes Research (1)
- Patient and Family Engagement (1)
- Patient Safety (3)
- Pregnancy (1)
- Pressure Ulcers (2)
- (-) Prevention (13)
- Primary Care (3)
- Provider (1)
- Provider: Pharmacist (1)
- Provider Performance (1)
- Quality Improvement (1)
- Quality Measures (1)
- Risk (2)
- Screening (3)
- Shared Decision Making (5)
- Telehealth (1)
- Tobacco Use (1)
- Tobacco Use: Smoking Cessation (1)
- Tools & Toolkits (2)
- Women (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 DisplayedRoberts MM, Marino M, Wells R
Differences in use of clinical decision support tools and implementation of aspirin, blood pressure control, cholesterol management, and smoking cessation quality metrics in small practices by race and sex.
The objective of this cross-sectional study was to evaluate the association between population-based clinical decision support (CDS) tools and racial and sex disparities in the aspirin use, blood pressure control, cholesterol management, and smoking cessation (ABCS) care quality metrics among smaller primary care practices. Researchers used practice-level data from the EvidenceNOW initiative, from practices that submitted both survey data and electronic health record (EHR)-derived ABCS data stratified by race and sex. Their findings suggested that practices using CDS tools had small disparities but were not statistically significant; however, CDS tools were not associated with reductions in disparities. They concluded that more research was needed on effective practice-level interventions to mitigate disparities.
AHRQ-funded; HS023940.
Citation: Roberts MM, Marino M, Wells R .
Differences in use of clinical decision support tools and implementation of aspirin, blood pressure control, cholesterol management, and smoking cessation quality metrics in small practices by race and sex.
JAMA Netw Open 2023 Aug; 6(8):e2326905. doi: 10.1001/jamanetworkopen.2023.26905..
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Cardiovascular Conditions, Tobacco Use, Tobacco Use: Smoking Cessation, Primary Care, Evidence-Based Practice, Prevention
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
Rice 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), Shared Decision Making, Health Information Technology (HIT)
Kane-Gill SL, Wong A, Culley CM
JA, et al. Transforming the medication regimen review process using telemedicine to prevent adverse events.
The objective of this study was to determine the impact of pharmacist-led telemedicine services on reducing high-risk medication adverse drug events (ADEs) for nursing home (NH) residents using medication reconciliation and prospective medication regimen reviews (MRRs) on admission plus ongoing clinical decision support alerts throughout the residents' stay. Studying residents in four NHs in Southwestern Pennsylvania, findings showed that the intervention group had a 92% lower incidence of alert-specific ADEs than usual care, and all-cause hospitalization was similar between groups, as were 30-day readmissions.
AHRQ-funded; HS02420.
Citation: Kane-Gill SL, Wong A, Culley CM .
JA, et al. Transforming the medication regimen review process using telemedicine to prevent adverse events.
J Am Geriatr Soc 2021 Feb;69(2):530-38. doi: 10.1111/jgs.16946..
Keywords: Medication: Safety, Medication, Adverse Drug Events (ADE), Adverse Events, Medical Errors, Patient Safety, Telehealth, Health Information Technology (HIT), Provider: Pharmacist, Provider, Clinical Decision Support (CDS), Prevention
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
Gance-Cleveland B, Leiferman J, Aldrich H
Using the technology acceptance model to develop startsmart: mHealth for screening, brief intervention, and referral for risk and protective factors in pregnancy.
The purpose of this study was to develop StartSmart, a mobile health (mHealth) intervention to support evidence-based prenatal screening, brief intervention, and referral to treatment for risk and protective factors in pregnancy. Expert clinicians provided guidance on the screening instruments, resources, and practice guidelines. Clinicians suggested identifying specific prenatal visits for the screening. Patients reported that the tablet-based screening was useful to promote adherence to guidelines and provided suggestions for improvement.
AHRQ-funded; HS024738.
Citation: Gance-Cleveland B, Leiferman J, Aldrich H .
Using the technology acceptance model to develop startsmart: mHealth for screening, brief intervention, and referral for risk and protective factors in pregnancy.
J Midwifery Womens Health 2019 Sep;64(5):630-40. doi: 10.1111/jmwh.13009..
Keywords: Health Information Technology (HIT), Domestic Violence, Clinical Decision Support (CDS), Shared Decision Making, Pregnancy, Women, Evidence-Based Practice, Screening, Prevention
Magrath M, Yang E, Ahn C
Impact of a clinical decision support system on guideline adherence of surveillance recommendations for colonoscopy after polypectomy.
The goal of this study was to characterize guideline adherence of surveillance recommendations after implementation of an electronic medical record (EMR)-based Colonoscopy Pathology Reporting and Clinical Decision Support System (CoRS). Results showed that an EMR-based CoRS was widely used and significantly improved guideline adherence of surveillance recommendations.
AHRQ-funded; HS022418.
Citation: Magrath M, Yang E, Ahn C .
Impact of a clinical decision support system on guideline adherence of surveillance recommendations for colonoscopy after polypectomy.
J Natl Compr Canc Netw 2018 Nov;16(11):1321-28. doi: 10.6004/jnccn.2018.7050..
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Colonoscopy, Cancer: Colorectal Cancer, Screening, Cancer, Guidelines, Evidence-Based Practice, Patient-Centered Outcomes Research, Prevention
Bowen ME, Bhat D, Fish J
Improving performance on preventive health quality measures using clinical decision support to capture care done elsewhere and patient exceptions.
This before-after study was conducted to examine the ability of clinical decision support (CDS) to improve performance on preventive quality measures, capture clinician-reported services completed elsewhere, and patient/medical exceptions and to describe their impact on quality measurement.
AHRQ-funded; HS022418.
Citation: Bowen ME, Bhat D, Fish J .
Improving performance on preventive health quality measures using clinical decision support to capture care done elsewhere and patient exceptions.
Am J Med Qual 2018 May/Jun;33(3):237-45. doi: 10.1177/1062860617732830..
Keywords: Clinical Decision Support (CDS), Prevention, Provider Performance, Quality Improvement, Quality Measures, Quality Measures
Ravikumar KE, MacLaughlin KL, Scheitel MR
Improving the accuracy of a clinical decision support system for cervical cancer screening and surveillance.
Researchers sought to enhance a clinical decision support system (CDSS) by improving its accuracy and incorporating changes to reflect the latest revision of the guidelines. The recommendation accuracy of the enhanced CDSS improved to 93 percent, which is a substantial improvement over the 84 percent reported previously. A detailed analysis of errors is presented in this article.
AHRQ-funded; HS022911.
Citation: Ravikumar KE, MacLaughlin KL, Scheitel MR .
Improving the accuracy of a clinical decision support system for cervical cancer screening and surveillance.
Appl Clin Inform 2018 Jan;9(1):62-71. doi: 10.1055/s-0037-1617451.
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Keywords: Cancer: Cervical Cancer, Clinical Decision Support (CDS), Prevention, Screening
Wang J, Gong Y
Potential of decision support in preventing pressure ulcers in hospitals.
The development of hospital-acquired pressure ulcers signals low quality of care. To meet the challenges of consistently translating best practices into effective clinical practices and promote effective teamwork communication and interprofessional collaboration, the authors consider the failure of consistent care delivery as loss of information and reveal the opportunities of informatics methods to reinforce information delivery, evidenced by typical cases. They then explain and summarize information-related issues existing at the initial assessment upon hospital admission, routine treatments, and team communication.
AHRQ-funded; HS022895.
Citation: Wang J, Gong Y .
Potential of decision support in preventing pressure ulcers in hospitals.
Stud Health Technol Inform 2017;241:15-20.
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Keywords: Clinical Decision Support (CDS), Shared Decision Making, Hospitals, Patient Safety, Pressure Ulcers, Prevention
Dykes PC, Duckworth M, Cunningham S
Pilot testing Fall TIPS (Tailoring Interventions for Patient Safety): a patient-centered fall prevention toolkit.
Patient falls during an acute hospitalization cause injury, reduced mobility, and increased costs. The laminated paper Fall TIPS Toolkit (Fall TIPS) provides clinical decision support at the bedside by linking each patient's fall risk assessment with evidence-based interventions. The investigators examined strategies to integrate this evidence into clinical practice. They concluded that engaging hospital and clinical leadership is critical in translating evidence-based care into clinical practice. They address and detail barriers to adoption of the protocol to provide guidance for spread to other institutions.
AHRQ-funded; HS025128.
Citation: Dykes PC, Duckworth M, Cunningham S .
Pilot testing Fall TIPS (Tailoring Interventions for Patient Safety): a patient-centered fall prevention toolkit.
Jt Comm J Qual Patient Saf 2017 Aug;43(8):403-13. doi: 10.1016/j.jcjq.2017.05.002..
Keywords: Clinical Decision Support (CDS), Shared Decision Making, Evidence-Based Practice, Falls, Hospitals, Injuries and Wounds, Inpatient Care, Patient Safety, Prevention, Risk, Tools & Toolkits
Olsho LE, Spector WD, Williams CS
AHRQ Author: Spector WD
Evaluation of AHRQ's on-time pressure ulcer prevention program: a facilitator-assisted clinical decision support intervention for nursing homes.
The researchers evaluated the effectiveness of the On-Time Quality Improvement for Long Term Care (On-Time) program in reducing the rate of in-house-acquired pressure ulcers among nursing home residents. They found that On-Time implementation is associated with sizable reductions in pressure ulcer incidence.
AHRQ-authored; AHRQ-funded; 290200600011I.
Citation: Olsho LE, Spector WD, Williams CS .
Evaluation of AHRQ's on-time pressure ulcer prevention program: a facilitator-assisted clinical decision support intervention for nursing homes.
Med Care 2014 Mar;52(3):258-66. doi: 10.1097/mlr.0000000000000080.
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Keywords: Clinical Decision Support (CDS), Long-Term Care, Nursing Homes, Pressure Ulcers, Prevention
Nagykaldi ZJ, Yeaman B, Jones M
HIE-i-health information exchange with intelligence.
This article reports on the development and pilot testing of an innovative approach to implement health information exchange with intelligence (HIE-i) in primary care settings. Records of 346 patients were studied in 6 primary care practices. The results suggest that coupling a geographically inclusive set of clinical data with HIE-based clinical decision support for prevention can considerably improve prospective care delivery.
AHRQ-funded; 290200710009I.
Citation: Nagykaldi ZJ, Yeaman B, Jones M .
HIE-i-health information exchange with intelligence.
J Ambul Care Manage 2014 Jan-Mar;37(1):20-31. doi: 10.1097/jac.0000000000000002..
Keywords: Clinical Decision Support (CDS), Health Information Exchange (HIE), Health Information Technology (HIT), Prevention, Primary Care