National Healthcare Quality and Disparities Report
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Topics
- Adverse Drug Events (ADE) (11)
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- Electronic Prescribing (E-Prescribing) (3)
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- Surgery (1)
- Surveys on Patient Safety Culture (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 25 of 62 Research Studies DisplayedBell SK, Bourgeois F, Dong J
Patient identification of diagnostic safety blindspots and participation in "good catches" through shared visit notes.
The goal of this study was to investigate whether sharing clinical notes with patients supported identification of potential breakdowns in the diagnostic process that might be difficult for clinical staff to observe -- "diagnostic safety blindspots." Researchers analyzed patient-reported ambulatory documentation errors among patients at 3 U.S. healthcare centers. Older, female, unemployed, disabled, or sicker patients, or patients who worked in healthcare, were more likely to identify blindspots; patients who self-identified as Black, Asian, multiple races and those with less formal education as well as those who deferred decision-making to their providers were less likely to report blindspots. The researchers concluded that patients who read notes have unique insight about potential errors in their medical records and that organizations should encourage patient review of notes and create systems to track patient-reported blindspots.
AHRQ-funded; HS027367.
Citation: Bell SK, Bourgeois F, Dong J .
Patient identification of diagnostic safety blindspots and participation in "good catches" through shared visit notes.
Milbank Q 2022 Dec; 100(4):1121-65. doi: 10.1111/1468-0009.12593..
Keywords: Diagnostic Safety and Quality, Patient Safety, Electronic Health Records (EHRs), Health Information Technology (HIT)
Gomez Lumbreras A, Reese TJ, Del Fiol G
Shared decision-making for drug-drug interactions: formative evaluation of an anticoagulant drug interaction.
This study evaluated a tool called DDInteract that was developed to enhance and support shared decision-making (SDM) between patients and physicians when both warfarin and NSAIDs are used concurrently. The study used case vignettes with physicians and patients on warfarin to conduct simulated virtual clinical encounters where they discussed the use of taking ibuprofen and warfarin concurrently and determined an appropriate therapeutic plan based on the patient’s individualized risk. Participants completed a postsession interview and SDM process survey, including the 9-item Shared Decision-Making Questionnaire (SDM-Q-9), tool usability and workload National Aeronautics and Space Administration (NASA) Task Load Index, Unified Theory of Acceptance and Use of Technology (UTAUT), Perceived Behavioral Control (PBC) scale, System Usability Scale (SUS), and Decision Conflict Scale (DCS). A total of 12 physician-patient dyads were used, with over 91% of the patients over 50 and 75% had been taking warfarin for over 2 years. Most participants rated DDInteract higher than usual care (UC) and would be willing to use the tool for an interaction involving warfarin and NSAIDs.
AHRQ-funded; HS027099.
Citation: Gomez Lumbreras A, Reese TJ, Del Fiol G .
Shared decision-making for drug-drug interactions: formative evaluation of an anticoagulant drug interaction.
JMIR Form Res 2022 Oct 19;6(10):e40018. doi: 10.2196/40018..
Keywords: Shared Decision Making, Medication, Blood Thinners, Clinical Decision Support (CDS), Health Information Technology (HIT), Medication: Safety, Patient Safety
Ozonoff A, Milliren CE, Fournier K A, Milliren CE, Fournier K
Electronic surveillance of patient safety events using natural language processing.
The purpose of this study was to describe the surveillance of reportable safety events captured in hospital data including free-text clinical notes. The researchers created a training data set for a machine learning model and applied the model to complete sets of clinical notes which were then reviewed to identify safety events of interest. The study found that in Phase 1, the researchers reviewed 2,342 clinical notes of the 21,362 gathered. 125 PIV events were identified, of which 44 cases (35%) were not identified by other patient safety systems. In Phase 2 of the study, the researchers identified 440 infiltrate events of the 60,735 clinical notes collected. The study classifier provided accuracy above 90%.
AHRQ-funded; HS026246.
Citation: Ozonoff A, Milliren CE, Fournier K A, Milliren CE, Fournier K .
Electronic surveillance of patient safety events using natural language processing.
Health Informatics J 2022 Oct-Dec; 28(4):14604582221132429. doi: 10.1177/14604582221132429..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety
Shafer GJ, Singh H, Thomas EJ
Frequency of diagnostic errors in the neonatal intensive care unit: a retrospective cohort study.
The objective of this study was to determine the frequency and etiology of diagnostic errors during the first 7 days of admission for inborn neonatal intensive care unit (NICU) patients. The "Safer Dx NICU Instrument" was used to review electronic health records. The reviewers discovered that the frequency of diagnostic error in inborn NICU patients during the first 7 days of admission was 6.2%.
AHRQ-funded; HS027363.
Citation: Shafer GJ, Singh H, Thomas EJ .
Frequency of diagnostic errors in the neonatal intensive care unit: a retrospective cohort study.
J Perinatol 2022 Oct;42(10):1312-18. doi: 10.1038/s41372-022-01359-9..
Keywords: Newborns/Infants, Intensive Care Unit (ICU), Critical Care, Diagnostic Safety and Quality, Medical Errors, Adverse Events, Patient Safety, Electronic Health Records (EHRs), Health Information Technology (HIT)
Bradford 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
Bradford A, Shahid U, Schiff GD
AHRQ Author: DiStabile P, Timashenka A, Jalal H, and Brady PJ
Development and usability testing of the Agency for Healthcare Research and Quality common formats to capture diagnostic safety events.
The purpose of this study was to conduct a usability assessment of the Agency for Healthcare Research and Quality (AHRQ) Common Formats for Event Reporting for Diagnostic Safety Events (CFER-DS) to assist in informing future revisions and implementation. The researchers recruited quality and safety personnel from 8 U.S. healthcare organizations and invited them to use the CFER-DS to simulate reporting and then provide written and verbal qualitative feedback. The study found that feedback about item clarity and content coverage was generally positive, but that reporter burden was a potential concern. Participants also identified opportunities to improve the CFER-DS, including clarifying several conceptual definitions, improving applicability across different care settings, and creating guidance to operationalize use of the tool.
AHRQ-authored; AHRQ-funded; HS027363, 233201500022I.
Citation: Bradford A, Shahid U, Schiff GD .
Development and usability testing of the Agency for Healthcare Research and Quality common formats to capture diagnostic safety events.
J Patient Saf 2022 Sep 1;18(6):521-25. doi: 10.1097/pts.0000000000001006..
Keywords: Diagnostic Safety and Quality, Patient Safety, Health Information Technology (HIT), Adverse Events
Sheehan JG, Howe JL, Fong A
Usability and accessibility of publicly available patient safety databases.
This study’s aims were to identify publicly available patient safety report databases and to determine whether these databases support safety analyst and data scientist use to identify patterns and trends. Seven databases (7 hosted by federal agencies and 1 by a nonprofit organization) containing more than 28.3 million safety reports were identified. Over half (57.1%) provided the ability to sort/compare/filter data, 42.9% provided data visualization, and 85.7% enabled free-text search. None of the databases provided regular updates or monitoring. Features were analyzed to support data scientist use and only 42.9% provided an application programing interface, most (85.7%) provided batch downloading, all provided documentation about the database, and 71.4% provided a data dictionary. All databases were open access.
AHRQ-funded; HS026481.
Citation: Sheehan JG, Howe JL, Fong A .
Usability and accessibility of publicly available patient safety databases.
J Patient Saf 2022 Sep 1;18(6):565-69. doi: 10.1097/pts.0000000000001018..
Keywords: Patient Safety, Health Information Technology (HIT)
Villa-Zapata L, Gómez-Lumbreras A, Horn J
A disproportionality analysis of drug-drug interactions of tizanidine and CYP1A2 inhibitors from the FDA Adverse Event Reporting System (FAERS).
This study’s aim was to examine the occurrence of adverse events reported in the FDA Adverse Event Reporting System (FAERS) involving the combination of tizanidine and drugs that inhibit the metabolic activity of CYP1A2. Tizanidine is used to help control muscle spasticity. From 2004 quarter 1 through 2020 quarter 3 a total of 89 reports were identified mentioning tizanidine, at least one CYP1A2 inhibitor, and one of the adverse events of interest including: hypotension, bradycardia, syncope, shock, cardiorespiratory arrest, and fall or fracture. More than half the reports identified tizanidine as having a suspect or interacting role, and the reports more frequently involved women (65.1%). The median age was 56.1 years. Hypotension had the highest odds for adverse event reports involving tizanidine and a CYP1A2 inhibitor which can lead to falls and fractures.
AHRQ-funded; HS025984.
Citation: Villa-Zapata L, Gómez-Lumbreras A, Horn J .
A disproportionality analysis of drug-drug interactions of tizanidine and CYP1A2 inhibitors from the FDA Adverse Event Reporting System (FAERS).
Drug Saf 2022 Aug;45(8):863-71. doi: 10.1007/s40264-022-01200-4..
Keywords: Health Information Technology (HIT), Medication, Adverse Drug Events (ADE), Adverse Events, Medication: Safety, Patient Safety
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
Yerneni S, Shah S, Blackley SV
Heterogeneity of drug allergies and reaction lists in two U.S. healthcare systems' electronic health records.
This study compared adverse drug reaction (ADRs) picklists for clinicians in the electronic health record (EHR) allergy list for two different healthcare institutions. The authors used data from the EHRs of patients who visited the emergency department or outpatient clinics at Brigham and Women's Hospital (BWH) and University of Colorado Hospital (UCH) from 2013-2018. They investigated the reactions on each picklist and compared the top 40 reactions at each institution, as well as the top 10 reactions within each drug class. Out of 2,160,116 patients sampled, 30% reported active drug allergies. The most commonly reported drug class allergens were similar between the two institutions, however BWH’s picklist had 48 reactions while UCH’s had 160. Twenty-nine reactions were shared by both picklists. There was a lot more granularity with UCH’s picklist so that body locality, swelling and edema were described in much greater detail than for BWH. These picklists may partially explain variations in reported ADRs across healthcare systems.
AHRQ-funded; HS025375.
Citation: Yerneni S, Shah S, Blackley SV .
Heterogeneity of drug allergies and reaction lists in two U.S. healthcare systems' electronic health records.
Appl Clin Inform 2022 May 26;13(3):741-51. doi: 10.1055/a-1862-9425..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Medication, Adverse Drug Events (ADE), Adverse Events, Medication: Safety, Patient Safety
Giardina TD, Choi DT, Upadhyay DK
Inviting patients to identify diagnostic concerns through structured evaluation of their online visit notes.
This study’s objective was to test if patients can identify concerns about their diagnosis through structured evaluation of their online visit notes in an electronic health record (EHR) system. Patients aged 18-85 years in a large integrated health system who actively used the patient portal were invited to respond to an online questionnaire if an EHR algorithm detected any recent visit following an initial primary care consultation. The authors developed and tested an instrument (Safer Dx Patient Instrument) to help patients identify concerns related to the diagnostic process based on notes review and recall of recent “at-risk” visits. The algorithm identified 1282 eligible patients, of whom 486 responded. Of the 418 patients included in the analysis, 51 patients (12.2%) identified a diagnostic concern. Patients were more likely to report a concern if they disagreed with statements "The care plan the provider developed for me addressed all my medical concerns", "I trust the provider that I saw during my visit" and agreed with the statement "I did not have a good feeling about my visit".
AHRQ-funded; HS027363; HS025474.
Citation: Giardina TD, Choi DT, Upadhyay DK .
Inviting patients to identify diagnostic concerns through structured evaluation of their online visit notes.
J Am Med Inform Assoc 2022 May 11;29(6):1091-100. doi: 10.1093/jamia/ocac036..
Keywords: Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Experience, Patient Safety
Schnock KO, Snyder JE, Gershanik E
Unique patient-reported hospital safety concerns with online tool: MySafeCare.
This study evaluated the MySafeCare (MSC) application at six acute care units for 18 months as part of a patient-centered health information technology intervention to promote engagement and safety in the acute care setting. This web-based application allowed hospitalized patients to submit safety concerns anonymously and in real time. The authors evaluated rates of submissions to MSC and compared them to the hospital’s submissions to the Patient Family Relations Department. They received 46 submissions to MSC, and 33% of them were received anonymously. The overall rate of submissions was 0.6 submissions per 1000 patient-days, which was considerably lower than the rate of submissions to the Patient Family Relations Department during the same time period (4.1 per 1000 patient-days). MSC did capture important content concerning unmet care needs and preferences, inadequate communication, and concerns about safety of care.
AHRQ-funded; HS023535.
Citation: Schnock KO, Snyder JE, Gershanik E .
Unique patient-reported hospital safety concerns with online tool: MySafeCare.
J Patient Saf 2022 Jan;18(1):e33-e39. doi: 10.1097/pts.0000000000000697..
Keywords: Patient Safety, Health Information Technology (HIT), Hospitals, Patient-Centered Healthcare, Patient and Family Engagement
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
Salmasian H, Blanchfield BB, Joyce K
Association of display of patient photographs in the electronic health record with wrong-patient order entry errors.
Wrong-patient order entry (WPOE) errors have a high potential for harm; these errors are particularly frequent wherever workflows are complex and multitasking and interruptions are common, such as in the emergency department (ED). The purpose of this study was to evaluate whether the use of noninterruptive display of patient photographs in the banner of the electronic health record (EHR) is associated with a decreased rate of WPOE errors.
AHRQ-funded; HS024713.
Citation: Salmasian H, Blanchfield BB, Joyce K .
Association of display of patient photographs in the electronic health record with wrong-patient order entry errors.
AMA Netw Open 2020 Nov 2;3(11):e2019652. doi: 10.1001/jamanetworkopen.2020.19652..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Adverse Drug Events (ADE), Adverse Events, Medication, Medication: Safety, Patient Safety, Diagnostic Safety and Quality
Yang J, Wang L, Phadke
Development and validation of a deep learning model for detection of allergic reactions using safety event reports across hospitals,
Although critical to patient safety, health care-related allergic reactions are challenging to identify and monitor. The purpose of this study was to develop a deep learning model to identify allergic reactions in the free-text narrative of hospital safety reports and evaluate its generalizability, efficiency, productivity, and interpretability. The investigators concluded that their study showed that a deep learning model could accurately and efficiently identify allergic reactions using free-text narratives written by a variety of health care professionals.
AHRQ-funded; HS025375.
Citation: Yang J, Wang L, Phadke .
Development and validation of a deep learning model for detection of allergic reactions using safety event reports across hospitals,
JAMA Netw Open 2020 Nov 2;3(11):e2022836. doi: 10.1001/jamanetworkopen.2020.22836..
Keywords: Diagnostic Safety and Quality, Health Information Technology (HIT), Patient Safety
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)
Bolton ML, Zheng X, Li M
An experimental validation of masking in IEC 60601-1-8:2006-compliant alarm sounds.
The tonal nature of sounds prescribed by IEC 60601-1-8 makes them potentially susceptible to simultaneous masking: where concurrent sounds render one or more inaudible due to human sensory limitations. This research investigated whether the psychoacoustics of simultaneous masking, which are integral to a model-checking-based method, previously developed for detecting perceivability problems in alarm configurations, could predict when IEC 60601-1-8-compliant medical alarm sounds were audible.
AHRQ-funded; HS024679.
Citation: Bolton ML, Zheng X, Li M .
An experimental validation of masking in IEC 60601-1-8:2006-compliant alarm sounds.
Hum Factors 2020 Sep;62(6):954-72. doi: 10.1177/0018720819862911..
Keywords: Health Information Technology (HIT), Patient Safety
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
Lacson R, Healey MJ, Cochon LR
Unscheduled radiologic examination orders in the electronic health record: a novel resource for targeting ambulatory diagnostic errors in radiology.
The purpose of this study was to assess the prevalence of unscheduled radiologic examination orders in an electronic health record and to assess the proportion of unscheduled orders that are clinically necessary. Unscheduled radiologic examination orders were retrieved for seven modalities: computed tomography, magnetic resonance imaging, ultrasound, obstetric ultrasound, bone densitometry, mammography, and fluoroscopy. Findings showed that large numbers of radiologic examination orders remain unscheduled in the electronic health record. Identifying and performing clinically necessary unscheduled radiologic examination orders may help reduce diagnostic errors related to diagnosis and treatment delays and enhance patient safety.
AHRQ-funded; HS024722.
Citation: Lacson R, Healey MJ, Cochon LR .
Unscheduled radiologic examination orders in the electronic health record: a novel resource for targeting ambulatory diagnostic errors in radiology.
J Am Coll Radiol 2020 Jun;17(6):765-72. doi: 10.1016/j.jacr.2019.12.021..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Diagnostic Safety and Quality, Imaging, Patient Safety
Singh H, Sittig DF
A sociotechnical framework for Safety-Related Electronic Health Record Research reporting: the SAFER Reporting Framework.
Electronic health record (EHR)-based interventions to improve patient safety are complex and sensitive to who, what, where, why, when, and how they are delivered. This article proposed a methodological reporting framework for EHR interventions targeting patient safety and built on an 8-dimension sociotechnical model previously developed by the authors for design, development, implementation, use, and evaluation of health information technology.
AHRQ-funded; HS022087; HS024459; HS017820.
Citation: Singh H, Sittig DF .
A sociotechnical framework for Safety-Related Electronic Health Record Research reporting: the SAFER Reporting Framework.
Ann Intern Med 2020 Jun 2;172(11 Suppl):S92-s100. doi: 10.7326/m19-0879..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety, Communication
Furukawa MF, Eldridge N, Wang Y
AHRQ Author: Furukawa MF, Eldridge N
Electronic health record adoption and rates of in-hospital adverse events.
Researchers examined the association of hospitals' electronic health record (EHR) adoption and occurrence rates of adverse events among exposed patients. The study included patients hospitalized for acute cardiovascular disease, pneumonia, or conditions requiring surgery. The researchers found that patients exposed to a fully electronic EHR were less likely to experience in-hospital adverse events.
AHRQ-authored.
Citation: Furukawa MF, Eldridge N, Wang Y .
Electronic health record adoption and rates of in-hospital adverse events.
J Patient Saf 2020 Jun;16(2):137-42. doi: 10.1097/pts.0000000000000257..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Adverse Events, Inpatient Care, Hospitals, Patient Safety
Collins SA, Couture B, Smith AD
Mixed-methods evaluation of real-time safety reporting by hospitalized patients and their care partners: the MySafeCare application.
This study evaluated the effectiveness of a real-time safety reporting tool by hospitalized patients and their care partners compared with other reporting mechanisms. The study used mixed methods including 20-month preimplementation and postimplementation trials evaluating MySafeCare, a web-based applications which allows real time reporting by hospitalized patients/care partners. Submission rates to MySafeCare in three hospital units (oncology acute care, vascular intermediate care, medical intensive care) were compared to submission rates to the Patient Family Relations (PFR) Department, a hospital service to address family/patient concerns. Thirty-two MySafeCare submissions were received during the study period with an average rate of 1.7 submissions per 1000 patient-days. MySafeCare submission rates were significantly higher than PFR submission rates during the postintervention period on the vascular unit. PFR submissions decreased after MySafeCare implementation for all units.
AHRQ-funded; HS023535.
Citation: Collins SA, Couture B, Smith AD .
Mixed-methods evaluation of real-time safety reporting by hospitalized patients and their care partners: the MySafeCare application.
J Patient Saf 2020 Jun;16(2):e75-e81. doi: 10.1097/pts.0000000000000493..
Keywords: Patient Safety, Hospitalization, Inpatient Care, Health Information Technology (HIT), Caregiving
Soleimani J, Pinevich Y, Barwise AK
Feasibility and reliability testing of manual electronic health record reviews as a tool for timely identification of diagnostic error in patients at risk.
Although diagnostic error (DE) is a significant problem, it remains challenging for clinicians to identify it reliably and to recognize its contribution to the clinical trajectory of their patients. The purpose of this work was to evaluate the reliability of real-time electronic health record (EHR) reviews using a search strategy for the identification of DE as a contributor to the rapid response team (RRT) activation. Early and accurate recognition of critical illness is of paramount importance.
AHRQ-funded; HS026609.
Citation: Soleimani J, Pinevich Y, Barwise AK .
Feasibility and reliability testing of manual electronic health record reviews as a tool for timely identification of diagnostic error in patients at risk.
Appl Clin Inform 2020 May;11(3):474-82. doi: 10.1055/s-0040-1713750..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Diagnostic Safety and Quality, Medical Errors, Adverse Events, Patient Safety
Classen DC, Holmgren AJ, Co Z
National trends in the safety performance of electronic health record systems from 2009 to 2018.
This study examined trends in the safety performance of electronic health records (EHRs) in hospitals from 2009 to 2018. The Leapfrog Health IT Safety Measure test was administered by the Leapfrog Group from July 2018 to December 1, 2019. Overall mean performance scores increased from 53.9% in 2009 to 65.6% in 2018. Mean hospital scores for categories representing basic clinical decision support increased from 69.8% in 2009 to 85.6% in 2018. Advanced decision clinical support also increased from 29.5% in 2009 to 46.1%. These results showed great improvement, but there is still substantial safety risk in current hospital EHR systems.
AHRQ-funded; HS023696.
Citation: Classen DC, Holmgren AJ, Co Z .
National trends in the safety performance of electronic health record systems from 2009 to 2018.
JAMA Netw Open 2020 May;3(5):e205547. doi: 10.1001/jamanetworkopen.2020.5547..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitals, Patient Safety, Quality Measures, Clinical Decision Support (CDS), Quality Indicators (QIs)
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