National Healthcare Quality and Disparities Report
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Topics
- Adverse Events (2)
- Burnout (1)
- Cardiovascular Conditions (1)
- Children/Adolescents (2)
- Clinical Decision Support (CDS) (1)
- Communication (1)
- Critical Care (1)
- Diagnostic Safety and Quality (2)
- Electronic Health Records (EHRs) (6)
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- Emergency Medical Services (EMS) (1)
- Evidence-Based Practice (1)
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- (-) Health Information Technology (HIT) (16)
- Health Services Research (HSR) (1)
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- Intensive Care Unit (ICU) (1)
- Learning Health Systems (1)
- Medical Errors (2)
- Medication (1)
- Medication: Safety (1)
- Patient-Centered Healthcare (1)
- Patient and Family Engagement (2)
- Patient Experience (1)
- (-) Patient Safety (16)
- Prevention (1)
- Quality Improvement (7)
- Quality Indicators (QIs) (1)
- (-) Quality of Care (16)
- Shared Decision Making (1)
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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 16 of 16 Research Studies DisplayedBradford A, Shofer M, Singh H
AHRQ Author: Shofer M, Singh H
Measure Dx: implementing pathways to discover and learn from diagnostic errors.
This paper discusses Measure Dx, a new AHRQ resource that translates knowledge from diagnostic measurement research into actionable recommendations. This resource guides healthcare organizations to detect, analyze, and learn from diagnostic safety events as part of a continuous learning and feedback cycle. The goal of Measure Dx is to advance new frontiers in reducing preventable diagnostic harm to patients.
AHRQ-authored; AHRQ-funded; 233201500022I; HS027363.
Citation: Bradford A, Shofer M, Singh H .
Measure Dx: implementing pathways to discover and learn from diagnostic errors.
Int J Qual Health Care 2022 Sep 10;34(3). doi: 10.1093/intqhc/mzac068..
Keywords: Diagnostic Safety and Quality, Patient Safety, Quality Improvement, Quality of Care, Electronic Health Records (EHRs), Health Information Technology (HIT), Health Systems, Learning Health Systems
Bardach NS, Stotts JR, Fiore DM
Family Input for Quality and Safety (FIQS): using mobile technology for in-hospital reporting from families and patients.
This study’s goal was to test a real-time mobile-responsive website called Family Input for Quality and Safety (FIQS) for inpatient reporting from families and patients. The tool was piloted from June 2017 to April 2018 on the medical-surgical unit of a children’s hospital. The authors enrolled 253 patients aged 13 and older and patient family members. This resulted in 8.15 safety reports/100 patient-days, most frequently regarding medications (29% of reports) and communication (20% of reports). Fifty-one reports met incident reporting (IR) criteria with only 1 having been reported via the IR system. White participants submitted more observations than Latinx participants.
AHRQ-funded; HS028477; HS024553.
Citation: Bardach NS, Stotts JR, Fiore DM .
Family Input for Quality and Safety (FIQS): using mobile technology for in-hospital reporting from families and patients.
J Hosp Med 2022 Jun;17(6):456-65. doi: 10.1002/jhm.2777..
Keywords: Quality of Care, Patient Safety, Health Information Technology (HIT), Patient and Family Engagement
Cifra CL, Sittig DF, Singh H
Bridging the feedback gap: a sociotechnical approach to informing clinicians of patients' subsequent clinical course and outcomes.
This paper discusses challenges to the development of systems for effective patient outcome feedback to improve diagnosis and proposes the application of a sociotechnical approach using health information technology (HIT) to support the implementation of such systems. It discusses current barriers to effective clinician feedback, reasons for them, and features of potential IT solutions. Evaluation and implementation of the feedback process within a sociotechnical health system are then discussed. The authors use an eight-dimension sociotechnical model for studying health IT by authors Sittig and Singh. The eight dimensions are hardware and software; clinical content; human–computer interface; people; workflow and communication; organisational policies and procedures; external rules, regulations and pressures; and system measurement and monitoring. A table is included that shows the potential considerations for each dimension.
AHRQ-funded; 33201500022I; HS027363.
Citation: Cifra CL, Sittig DF, Singh H .
Bridging the feedback gap: a sociotechnical approach to informing clinicians of patients' subsequent clinical course and outcomes.
BMJ Qual Saf 2021 Jul;30(7):591-97. doi: 10.1136/bmjqs-2020-012464..
Keywords: Health Information Technology (HIT), Diagnostic Safety and Quality, Patient Safety, Quality Improvement, Quality of Care
Griffey RT, Schneider RM, Todorov AA
The emergency department trigger tool: validation and testing to optimize yield.
Researchers validated the emergency department trigger tool (EDTT) in an independent sample and compared record selection approaches to optimize yield for quality improvement. In this single-site study of the EDTT, they observed high levels of validity in trigger selection, yield, and representativeness of adverse events, with yields that are superior to estimates for traditional approaches to adverse event detection. Record selection using weighted triggers outperformed a trigger count threshold approach and far outperformed random sampling from records with at least one trigger. They concluded that the EDTT is a promising efficient and high-yield approach for detecting all-cause harm to guide quality improvement efforts in the emergency department.
AHRQ-funded; HS025052.
Citation: Griffey RT, Schneider RM, Todorov AA .
The emergency department trigger tool: validation and testing to optimize yield.
Acad Emerg Med 2020 Dec;27(12):1279-90. doi: 10.1111/acem.14101..
Keywords: Emergency Department, Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Adverse Events, Patient Safety, Quality Improvement, Quality of Care
Luo B, McLoone M, Rasooly IR
Analysis: protocol for a new method to measure physiologic monitor alarm responsiveness.
A team of researchers including biomedical engineers, human factors engineers, information technology specialists, nurses, physicians, facilitators from a hospital’s simulation center, clinical informaticians, and hospital administrative leadership worked with three units at a pediatric hospital to design and conduct simulations on newly implemented monitoring technology that will be used for patient critical alarms. The system was tested using a simulation with existing hospital technology to transmit an unambiguously critical alarm that appeared to originate from an actual patient to the nurse’s mobile device, with discreet observers measuring responses.
AHRQ-funded; HS026620.
Citation: Luo B, McLoone M, Rasooly IR .
Analysis: protocol for a new method to measure physiologic monitor alarm responsiveness.
Biomed Instrum Technol 2020 Nov/Dec;54(6):389-96. doi: 10.2345/0899-8205-54.6.389..
Keywords: Children/Adolescents, Hospitals, Simulation, Quality Improvement, Quality of Care, Patient Safety, Health Information Technology (HIT)
Co Z, Holmgren AJ, Classen DC
The tradeoffs between safety and alert fatigue: data from a national evaluation of hospital medication-related clinical decision support.
This study evaluated the overall performance of hospitals that used the Computerized Physician Order Entry Evaluation Tool in 2017 and 2018 and compared performances for fatal orders and nuisance orders each year. The authors evaluated 1599 hospitals that took the test by using their overall percentage scores along with the percentage of fatal orders appropriately alerted on and the percentage of nuisance orders incorrectly alerted on. Overall hospital scores improved from 58.1% in 2017 to 66.2% in 2018. Fatal order performance improved slightly from 78.8% to 83.0%, but there no very little change in nuisance order performance (89.0% to 89.7%). Conclusions were that perhaps hospitals are not targeting the deadliest orders first and some hospitals may be achieving higher scores by over-alerting. This has the potential to cause clinician burnout and even worsen patient safety.
AHRQ-funded; HS023696.
Citation: Co Z, Holmgren AJ, Classen DC .
The tradeoffs between safety and alert fatigue: data from a national evaluation of hospital medication-related clinical decision support.
J Am Med Inform Assoc 2020 Aug;27(8):1252-58. doi: 10.1093/jamia/ocaa098..
Keywords: Medication: Safety, Medication, Patient Safety, Clinical Decision Support (CDS), Shared Decision Making, Burnout, Hospitals, Health Information Technology (HIT), Quality of Care
Stangenes SR, Painter IS, Rea TD
Delays in recognition of the need for telephone-assisted CPR due to caller descriptions of chief complaint.
The objective of this study was to test if caller descriptions of chief complaint delays emergency medical dispatchers' (EMDs) recognition of the need for telephone-assisted CPR (T-CPR). The investigators conducted an analysis of N = 433 cardiac arrest calls from six large call centers in the United States. They concluded that caller chief complaint description affected the time to recognition of the need for T-CPR.
AHRQ-funded; HS021658.
Citation: Stangenes SR, Painter IS, Rea TD .
Delays in recognition of the need for telephone-assisted CPR due to caller descriptions of chief complaint.
Resuscitation 2020 Apr;149:82-86. doi: 10.1016/j.resuscitation.2020.02.013..
Keywords: Emergency Medical Services (EMS), Cardiovascular Conditions, Patient Safety, Quality of Care, Telehealth, Health Information Technology (HIT), Communication
Haldar S, Mishra SR, Pollack AH
Informatics opportunities to involve patients in hospital safety: a conceptual model.
This study investigated how hospital inpatients experience undesirable events (UEs) and to see if those present opportunities for new informatics solutions. The authors surveyed 242 patients and caregivers during their hospital stay and asked them open-ended questions about their experiences with UEs. They then developed a 4-stage conceptual model which illustrates inpatient experiences: from when they first encounter UEs, and opportunities to promote inpatients’ participation and engagement in the quality and safety of their care, help healthcare systems learn from inpatient experience, and reduce those harmful events.
AHRQ-funded; HS022894.
Citation: Haldar S, Mishra SR, Pollack AH .
Informatics opportunities to involve patients in hospital safety: a conceptual model.
J Am Med Inform Assoc 2020 Feb;27(2):202-11. doi: 10.1093/jamia/ocz167.
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Keywords: Patient Safety, Hospitals, Health Information Technology (HIT), Patient and Family Engagement, Patient Experience, Quality of Care
Businger AC, Fuller TE, Schnipper JL
Lessons learned implementing a complex and innovative patient safety learning laboratory project in a large academic medical center.
This paper describes the challenges, recommendations and lessons learned while developing and implementing a Patient Safety Learning Laboratory (PSLL) project, which is comprised of a suite of HIT tools integrated with a newly implemented Electronic Health Record (EHR) vendor system in the acute care setting of a large academic medical center. The PSLL Administrative Core engaged stakeholders and study personnel throughout all phases of the project. Challenges to implementation included stakeholder engagement, project scope and complexity, technology and governance, and team structure. Some changes were implemented during the trial and others were labeled as lessons learned for future iterative interventions. A willingness to think outside of current workflows and processes to change health system culture around adverse event prevention was one of the keys to success.
AHRQ-funded; HS023535.
Citation: Businger AC, Fuller TE, Schnipper JL .
Lessons learned implementing a complex and innovative patient safety learning laboratory project in a large academic medical center.
J Am Med Inform Assoc 2020 Feb;27(2):301-07. doi: 10.1093/jamia/ocz193.
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Keywords: Patient Safety, Implementation, Health Information Technology (HIT), Quality Improvement, Quality of Care, Patient-Centered Healthcare, Electronic Health Records (EHRs), Evidence-Based Practice
Dalal AK, Fuller T, Garabedian P
Systems engineering and human factors support of a system of novel EHR-integrated tools to prevent harm in the hospital.
This study examined systems engineering and human factors support of a system of novel electronic health record (EHR)-integrated tools for patient safety in the hospital. The authors established a Patient Safety Learning Laboratory of 2 core and 3 individual project teams to introduce a suite of digital health tools integrated with their EHR to identify, assess, and mitigate threats to patient safety. They identified 7 themes regarding use of 12 systems engineering and human factors over the 4-year project.
AHRQ-funded; HS023535.
Citation: Dalal AK, Fuller T, Garabedian P .
Systems engineering and human factors support of a system of novel EHR-integrated tools to prevent harm in the hospital.
J Am Med Inform Assoc 2019 Jun;26(6):553-60. doi: 10.1093/jamia/ocz002..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety, Hospitals, Quality Improvement, Quality of Care
Berrens ZJ, Gosdin CH, Brady PW
Efficacy and safety of pediatric critical care physician telemedicine involvement in rapid response team and code response in a satellite facility.
This study compared response rates at satellite inpatient facilities of larger children’s hospitals using telemedicine to response rates at main campus. Through the use of telemedicine, there was no difference in critical care response and rate of transfer to intensive-care units.
AHRQ-funded; HS023827.
Citation: Berrens ZJ, Gosdin CH, Brady PW .
Efficacy and safety of pediatric critical care physician telemedicine involvement in rapid response team and code response in a satellite facility.
Pediatr Crit Care Med 2019 Feb;20(2):172-77. doi: 10.1097/pcc.0000000000001796.
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Keywords: Children/Adolescents, Critical Care, Quality of Care, Health Information Technology (HIT), Patient Safety
Zhou L, Blackley SV, Kowalski L
Analysis of errors in dictated clinical documents assisted by speech recognition software and professional transcriptionists.
The purpose of this study was to identify and analyze errors at each stage of the speech recognition (SR) assisted dictation process. The study concluded that seven in 100 words in SR-generated documents contain errors; many errors involve clinical information. That most errors were corrected before notes were signed demonstrates the importance of manual review, quality assurance, and auditing.
AHRQ-funded; HS024264.
Citation: Zhou L, Blackley SV, Kowalski L .
Analysis of errors in dictated clinical documents assisted by speech recognition software and professional transcriptionists.
JAMA Network Open 2018 Jul;1(3):e180530. doi: 10.1001/jamanetworkopen.2018.1627..
Keywords: Quality of Care, Health Information Technology (HIT), Health Services Research (HSR), Medical Errors, Patient Safety
Bhise V, Sittig DF, Vaghani V
An electronic trigger based on care escalation to identify preventable adverse events in hospitalised patients.
Researchers refined the methods of the Institute of Healthcare Improvement's Global Trigger Tool application and leveraged electronic health record data to improve detection of preventable adverse events, including diagnostic errors. In the studied sample, preventable adverse events were identified, including adverse drug events, patient falls, procedure-related complications, and hospital-associated infections. The authors concluded that such e-triggers can help overcome limitations of currently available methods to detect preventable harm in hospitalized patients.
AHRQ-funded; HS022087; HS023602.
Citation: Bhise V, Sittig DF, Vaghani V .
An electronic trigger based on care escalation to identify preventable adverse events in hospitalised patients.
BMJ Qual Saf 2018 Mar;27(3):241-46. doi: 10.1136/bmjqs-2017-006975..
Keywords: Adverse Events, Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitalization, Hospitals, Patient Safety, Prevention, Quality of Care, Quality Improvement, Quality Indicators (QIs)
Singh H, Sittig DF
Advancing the science of measurement of diagnostic errors in healthcare: the Safer Dx framework.
The Safer Dx framework can help stakeholders measure a monitor diagnostic errors, which are considered hard to tackle and remain elusive to improvement efforts because they are difficult to define and measure.
AHRQ-funded; HS022087
Citation: Singh H, Sittig DF .
Advancing the science of measurement of diagnostic errors in healthcare: the Safer Dx framework.
BMJ Qual Saf. 2015 Feb;24(2):103-10. doi: 10.1136/bmjqs-2014-003675..
Keywords: Health Information Technology (HIT), Quality of Care, Patient Safety
Collinsworth AW, Masica AL, Priest EL
Modifying the electronic health record to facilitate the implementation and evaluation of a bundled care program for intensive care unit delirium.
This case study describes how an integrated health care delivery system modified its inpatient electronic health record to accelerate the implementation and evaluation of ABCDE bundle deployment as a safety and quality initiative for the prevention of delirium in intensive care unit patients.
AHRQ-funded; HS021459
Citation: Collinsworth AW, Masica AL, Priest EL .
Modifying the electronic health record to facilitate the implementation and evaluation of a bundled care program for intensive care unit delirium.
eGEMS. 2014;2(1):1121. doi: 10.13063/2327-9214.1121..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Intensive Care Unit (ICU), Patient Safety, Quality of Care
Paez K, Roper RA, Andrews RM
AHRQ Author: Roper RA, Andrews RM
Health information technology and hospital patient safety: a conceptual model to guide research.
The authors developed a conceptual model to guide research in sorting out the complex relationships between health information technology (HIT) and the quality and safety of care. They found the model difficult to operationalize because available HIT adoption data did not characterize features and extent of usage, and patient safety measures did not elucidate the process failures leading to safety-related outcomes. Their findings illustrated the critical need for collecting data that are germane to HIT and the possible mechanisms by which HIT may affect inpatient safety.
AHRQ-authored; AHRQ-funded.
Citation: Paez K, Roper RA, Andrews RM .
Health information technology and hospital patient safety: a conceptual model to guide research.
Jt Comm J Qual Patient Saf 2013 Sep;39(9):415-25.
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Keywords: Healthcare Cost and Utilization Project (HCUP), Health Information Technology (HIT), Hospitals, Quality of Care, Patient Safety