National Healthcare Quality and Disparities Report
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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
51 to 75 of 733 Research Studies DisplayedGaneshan S, Pierce L, Mourad M
Impact of patient portal-based self-scheduling of diagnostic imaging studies on health disparities.
The purpose of this study was to explore the impact of self-scheduling on equitable access to care. The researchers utilized an electronic health record patient portal at the University of California San Francisco which deployed a self-scheduling tool allowing patients to self-schedule diagnostic imaging studies. The study found that among all patient portal users, Latinx, Black/African American, and non-English speaking patients, as well as patients with Medi-Cal, California's Medicaid program, and Medicare insurance were less likely to self-schedule studies. were all less likely to self-schedule when compared with commercially insured patients.
AHRQ-funded; HS026383.
Citation: Ganeshan S, Pierce L, Mourad M .
Impact of patient portal-based self-scheduling of diagnostic imaging studies on health disparities.
J Am Med Inform Assoc 2022 Nov 14;29(12):2096-100. doi: 10.1093/jamia/ocac152..
Keywords: Disparities, Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT)
Kang D, Charlton P, Applebury DE
Utilizing eye tracking to assess electronic health record use by pharmacists in the intensive care unit.
The authors conducted a study using high-fidelity electronic health record (EHR)-based simulations with incorporated eye tracking to understand the workflow of critical care pharmacists within the EHR, with specific attention to the data elements most frequently viewed. They found that, in addition to medication information, laboratory data and clinical notes are key focuses of intensive care unit pharmacist review of patient records and that navigation to multiple screens is required in order to view these data with the EHR.
AHRQ-funded; HS023793.
Citation: Kang D, Charlton P, Applebury DE .
Utilizing eye tracking to assess electronic health record use by pharmacists in the intensive care unit.
Am J Health Syst Pharm 2022 Nov 7;79(22):2018-25. doi: 10.1093/ajhp/zxac158..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Intensive Care Unit (ICU), Critical Care, Provider: Pharmacist
Malik MA, Motta-Calderon D, Piniella N
A structured approach to EHR surveillance of diagnostic error in acute care: an exploratory analysis of two institutionally-defined case cohorts.
The purpose of this study was to examine a structured electronic health record (EHR) case review process to identify diagnostic errors (DE) and diagnostic process failures (DPFs) in acute care. The researchers created two test cohorts of all preventable cases (n=28) and an equal number of randomly sampled non-preventable cases (n=28) from 365 adult general medicine patients who expired and were part of the mortality case review process at the research institution. Twenty-seven preventable and 24 non-preventable cases were included in the review process. The study found that the frequency of DE contributing to death was significantly higher for the preventable cohort compared to the non-preventable cohort. The researchers concluded that substantial agreement was observed among final consensus and expert panel reviews using their structured EHR case review process, and DEs contributing to death associated with DPFs were identified in institutionally designated preventable and non-preventable cases.
AHRQ-funded; HS026613.
Citation: Malik MA, Motta-Calderon D, Piniella N .
A structured approach to EHR surveillance of diagnostic error in acute care: an exploratory analysis of two institutionally-defined case cohorts.
Diagnosis 2022 Nov;9(4):446-57. doi: 10.1515/dx-2022-0032..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Diagnostic Safety and Quality, Medical Errors
Russell LB, Huang Q, Lin Y
The electronic health record as the primary data source in a pragmatic trial: a case study.
Electronic health records are a series of overlapping and legacy systems that require time and expertise to use efficiently. Commonly measured patient characteristics are relatively easy to locate for most trial enrollees but less common characteristics are not. Acquiring essential supplementary data - in this trial, state data on hospital admission - can be a lengthy and difficult process.
AHRQ-funded; HS026372.
Citation: Russell LB, Huang Q, Lin Y .
The electronic health record as the primary data source in a pragmatic trial: a case study.
Med Decis Making 2022 Nov;42(8):975-84. doi: 10.1177/0272989x211069980..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Research Methodologies
Hitsman B, Matthews PA, Papandonatos GD B, Matthews PA, Papandonatos GD
An EHR-automated and theory-based population health management intervention for smoking cessation in diverse low-income patients of safety-net health centers: a pilot randomized controlled trial.
The purpose of this study was to test the initial effectiveness of an electronic health record (EHR)-automated population health management (PHM) intervention for smoking cessation among adult patients. The researchers included 190 participants from a federally qualified health center in Chicago who self-identified as smokers as documented in the electronic health records and who completed a longitudinal "needs assessment of health behaviors to strengthen health programs and services” baseline survey. Participants were then randomly assigned to the PHM intervention (N=97) or the enhanced usual care (EUC) group (N=93). Primary outcomes were treatment engagement, utilization, and self-reported smoking cessation. In the PHM group, 25.8% of participants engaged in treatment, 21.6% used treatment, and 16.3% were abstinent at 28 weeks. There was no engagement of the quitline among EUC participants, and an abstinence rate of 6.4%. The researchers concluded that a PHM approach that can address unique barriers for low-income individuals may be an important addition to clinic-based care.
AHRQ-funded; HS021141.
Citation: Hitsman B, Matthews PA, Papandonatos GD B, Matthews PA, Papandonatos GD .
An EHR-automated and theory-based population health management intervention for smoking cessation in diverse low-income patients of safety-net health centers: a pilot randomized controlled trial.
Transl Behav Med 2022 Oct 7;12(9):892-99. doi: 10.1093/tbm/ibac026..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Tobacco Use, Tobacco Use: Smoking Cessation, Low-Income
Florig ST, Corby S, Devara T
Medical record closure practices of physicians before and after the use of medical scribes.
This study used electronic health record data to evaluate medical record closure outcomes before and after the use of medical scribes at the Oregon Health & Science University, a large academic medical center with an internal scribe program. The authors identified 3 medical record closure performance metrics: medical record closure (date-time stamp difference between the encounter and physician signature), proportion of delinquent medical records (>14 days), and proportion of medical records closed after hours (7pm-7am on weekdays or anytime on weekends). The data set included over 1.2 million encounters across 55 clinical specialties, 430 physicians, and 134 scribes. Of the total physicians, 23% used scribes and 69% of encounters were with physicians who never used scribes. Median encounters per week for physicians was 11 for never users and 13 for scribe users at baseline. At baseline scribe-using physicians had significantly higher median medical record closure times, proportion of delinquent medical records, and proportion of medical records closed after hours compared to physicians who never used scribes. The physicians who didn’t use scribes were assigned them, and after assignment physicians had nonsignificantly higher median medical record closure time and lower proportion of delinquent and after-hour medical record completion compared with baseline.
AHRQ-funded; HS25141.
Citation: Florig ST, Corby S, Devara T .
Medical record closure practices of physicians before and after the use of medical scribes.
JAMA 2022 Oct 4;328(13):1350-52. doi: 10.1001/jama.2022.13558..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT)
Weiner SJ, Schwartz A, Weaver F
Effect of electronic health record clinical decision support on contextualization of care: a randomized clinical trial.
Researchers sought to determine whether contextualized clinical decision support (CDS) tools in the electronic health record (EHR) improve clinician contextual probing, attention to contextual factors in care planning, and the presentation of contextual red flags. In this randomized clinical trial, they found that contextualized CDS did not improve patients' outcomes but did increase contextualization of their care, suggesting that use of this technology could ultimately help to improve outcomes.
AHRQ-funded; HS025374.
Citation: Weiner SJ, Schwartz A, Weaver F .
Effect of electronic health record clinical decision support on contextualization of care: a randomized clinical trial.
JAMA Netw Open 2022 Oct;5(10):e2238231. doi: 10.1001/jamanetworkopen.2022.38231..
Keywords: Electronic Health Records (EHRs), Clinical Decision Support (CDS), Health Information Technology (HIT), Shared Decision Making
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)
Lobach DF, Boxwala A, Kashyap N
AHRQ Author: Lomotan EA, Harrison MI, Dymek C, Swiger J
Integrating a patient engagement app into an electronic health record-enabled workflow using interoperability standards.
The authors sought to use interoperability standards to integrate the COVID-19 Tracker, a patient mobile application, with an EHR. Their clinical decision support integration project benefited from a standards-based approach, but they encountered challenges due to issues concerning implementation and experience of the standards-based application programming interface, Health Level 7 Fast Healthcare Interoperability Resources (FHIR) in the EHR. The authors concluded that FHIR standards may provide a promising mechanism for overcoming barriers in the integration of patient engagement apps with EHRs, but that expansion of available FHIR resources will improve workflow integration.
AHRQ-authored; AHRQ-funded; 233201500023I.
Citation: Lobach DF, Boxwala A, Kashyap N .
Integrating a patient engagement app into an electronic health record-enabled workflow using interoperability standards.
Appl Clin Inform 2022 Oct;13(5):1163-71. doi: 10.1055/s-0042-1758736..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Patient and Family Engagement, Workflow, COVID-19
Li X, Xu H, Grannis S
The data-adaptive fellegi-sunter model for probabilistic record linkage: algorithm development and validation for incorporating missing data and field selection.
The purpose of this study was to assess the extent to which including the missing at random (MAR)-assumption in the Fellegi-Sunter model and using data-driven selected fields improve patient-matching accuracy using real-world use cases. The researchers adapted the Fellegi-Sunter model to include missing data using the MAR assumption and compared the adaptation to the typical strategy of treating missing values as disagreement with matching fields selected by data-driven methods or specified by experts. Four use cases were utilized, including health information exchange (HIE) record deduplication, linkage of public health registry records to HIE, linkage of Social Security Death Master File records to HIE, and deduplication of newborn screening records. The study found that including the MAR assumption in the Fellegi-Sunter model maintained or improved F1-scores, regardless of whether matching fields were expert-specified or selected by data-driven methods. The researchers concluded that combining the MAR assumption and data-driven fields optimized the F1-scores in the 4 use cases regardless of whether matching fields are expert-specified or data-driven.
AHRQ-funded.
Citation: Li X, Xu H, Grannis S .
The data-adaptive fellegi-sunter model for probabilistic record linkage: algorithm development and validation for incorporating missing data and field selection.
J Med Internet Res 2022 Sep 29;24(9):e33775. doi: 10.2196/33775..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT)
Corby S, Ash JS, Whittaker K
Translating ethnographic data into knowledge, skills, and attitude statements for medical scribes: a modified Delphi approach.
This paper describes the curricular framework that was developed for standardized scribe training including desired core knowledge, skills, and attitudes (KSAs). First an ethnographic study was performed at 5 varied health care organizations in the US to gather qualitative data about knowledge, skills, and attitudes. Preliminary KSA related themes were generated from the team’s analysis, followed by a modified Delphi study to finalize the KSA lists. The team identified 90 descriptions of scribe-related KSAs with three lists ultimately defined as: (1) Hands-On Learning KSA list with 47 items amenable to simulation training, (2) Didactic KSA list consisting of 32 items appropriate for didactic lecture teaching, and (3) Prerequisite KSA list consisting of 11 items centered around items scribes should learn prior to being hired or soon after being hired.
AHRQ-funded; 290200810010.
Citation: Corby S, Ash JS, Whittaker K .
Translating ethnographic data into knowledge, skills, and attitude statements for medical scribes: a modified Delphi approach.
J Am Med Inform Assoc 2022 Sep 12;29(10):1679-87. doi: 10.1093/jamia/ocac091..
Keywords: 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
Jiang Y, Mason M, Cho Y
Tolerance to oral anticancer agent treatment in older adults with cancer: a secondary analysis of data from electronic health records and a pilot study of patient-reported outcomes.
The purpose of this study was to explore the tolerance of capecitabine oral chemotherapy among older adults with cancer and investigate factors associated with related side effects and treatment changes. The researchers combined data from electronic health records and a pilot study of patient-reported outcomes, and found that older adults were more likely to experience fatigue and experienced more severe fatigue and hand-foot syndrome (HFS) than younger adults. The severity of fatigue and HFS were associated with the number of outpatient medications and the duration of treatment respectively. Female sex, breast cancer diagnosis, capecitabine monotherapy, and severe HFS were found to be associated with subsequent dose reductions. The study concluded that older adults were less likely to tolerate capecitabine treatment and had different co-occurring side effects compared to younger adults.
AHRQ-funded; HS027846.
Citation: Jiang Y, Mason M, Cho Y .
Tolerance to oral anticancer agent treatment in older adults with cancer: a secondary analysis of data from electronic health records and a pilot study of patient-reported outcomes.
BMC Cancer 2022 Sep 3;22(1):950. doi: 10.1186/s12885-022-10026-3..
Keywords: Elderly, Cancer, Medication, Adverse Drug Events (ADE), Adverse Events, Electronic Health Records (EHRs), Health Information Technology (HIT)
Jin DP, Samuel S, Bowden K
Just-in-time electronic health record retraining to support clinician redeployment during the COVID-19 surge.
The purpose of this study was to examine the use of training in ICU-specific electronic health record (EHR) workflows prior to redeployment of certified registered nurse anesthetists (CRNAs) as ICU clinicians during the COVID-19 surge. The researchers utilized clinical informatics (CI) fellows to lead a multidisciplinary team to deploy a customized HER curriculum consisting of in-person classes and online video modules. Eighteen CRNAs participated, with 15 completing surveys immediately after the in-person training session, and 12 participants completing a post-deployment survey. The study found that all respondents of the post-training survey thought the training was useful and improved their EHR skills. Of the 12 participants who completed the post-deployment survey, all said that the training both increased their comfort in the ICU and that the concepts learned would be useful in their anesthesia role, and 91% indicated the training prepared them to work in the ICU with minimal guidance. The researchers concluded that CI fellows are uniquely prepared to deliver EHR training for clinician deployment in operational crisis response.
AHRQ-funded; HS02373.
Citation: Jin DP, Samuel S, Bowden K .
Just-in-time electronic health record retraining to support clinician redeployment during the COVID-19 surge.
Appl Clin Inform 2022 Aug 29;13(5):949-55. doi: 10.1055/a-1933-1798..
Keywords: COVID-19, Electronic Health Records (EHRs), Health Information Technology (HIT), Public Health, Training, Workforce
Huffstetler AN, Epling J, Krist AH
The need for electronic health records to support delivery of behavioral health preventive services.
In this article the authors discuss adaptations to electronic health records to improve behavioral health preventive services. They recommend a refocus in digital health away from best business practices that help EHR vendors and toward best health-related practice in order to improve patient care and make work easier for clinicians.
AHRQ-funded; HS027077.
Citation: Huffstetler AN, Epling J, Krist AH .
The need for electronic health records to support delivery of behavioral health preventive services.
JAMA 2022 Aug 23;328(8):707-08. doi: 10.1001/jama.2022.13391..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Behavioral Health, Prevention, Healthcare Delivery
Young JC, Dasgupta N, Stürmer T
Considerations for observational study design: comparing the evidence of opioid use between electronic health records and insurance claims.
The authors linked electronic health record (EHR) data from a large academic health system to Medicare insurance claims for patients undergoing surgery. When characterizing opioid exposure, they found substantial discrepancies between EHR medication orders and prescription claims data. In all time periods assessed, most patients' use was reflected only in the EHR, or only in the claims, but not both.
AHRQ-funded; HS000032.
Citation: Young JC, Dasgupta N, Stürmer T .
Considerations for observational study design: comparing the evidence of opioid use between electronic health records and insurance claims.
Pharmacoepidemiol Drug Saf 2022 Aug;31(8):913-20. doi: 10.1002/pds.5452..
Keywords: Research Methodologies, Electronic Health Records (EHRs), Health Information Technology (HIT)
Livaudais M, Deng D, Frederick T
Perceived value of the electronic health record and its association with physician burnout.
The objective of this study was to investigate how seniority/years of practice, gender, and screened burnout status were associated with opinions of electronic health record (EHR) use on quality, cost, and efficiency of care. Ambulatory primary care and subspecialty clinicians at three different institutions were surveyed. Findings showed that burnout status was significantly associated with clinicians' perceived value of EHR technologies, while years of practice and gender were not.
AHRQ-funded; HS022065.
Citation: Livaudais M, Deng D, Frederick T .
Perceived value of the electronic health record and its association with physician burnout.
Appl Clin Inform 2022 Aug;13(4):778-84. doi: 10.1055/s-0042-1755372..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Burnout, Provider: Physician
Hinson JS, Klein E, Smith A
Multisite implementation of a workflow-integrated machine learning system to optimize COVID-19 hospital admission decisions.
This study’s objective was to develop, implement, and evaluate an electronic health record (EHR) embedded clinical decision support (CDS) system that leveraged machine learning (ML) to estimate short-term risk for clinical deterioration in patients with or under investigation for COVID-19. The system translates model-generated risk for critical care needs within 24 hours and inpatient care needs within 72 hours into rapidly interpretable COVID-19 Deterioration Risk Levels made viewable within ED clinician workflow. A retrospective cohort of 21,452 ED patients who visited one of five ED study sites was used to derive ML models and were prospectively validated in 15,670 ED visits that occurred before (n = 4322) or after (n = 11,348) CDS implementation. Model performance and numerous patient-oriented outcomes including in-hospital mortality were measured across study periods. ML model performance was excellent under all conditions. AUC ranged from 0.85 to 0.91 for prediction of critical care needs and 0.80-0.90 for inpatient care needs. Total mortality was unchanged across study periods but was reduced among high-risk patients after the implementation.
AHRQ-funded; HS026640.
Citation: Hinson JS, Klein E, Smith A .
Multisite implementation of a workflow-integrated machine learning system to optimize COVID-19 hospital admission decisions.
NPJ Digit Med 2022 Jul 16;5(1):94. doi: 10.1038/s41746-022-00646-1..
Keywords: COVID-19, Clinical Decision Support (CDS), Health Information Technology (HIT), Implementation, Electronic Health Records (EHRs), Emergency Department, Shared Decision Making
Randell KA, Ragavan MI, Query LA
Intimate partner violence and the pediatric electronic health record: a qualitative study.
The authors sought to explore expert perspectives on risks associated with the pediatric electronic health record (EHR) for intimate partner violence (IPV) survivors and their children and to identify strategies that may mitigate these risks. They conducted semistructured interviews with multidisciplinary pediatric IPV experts, and their findings suggested that the pediatric EHR may confer both risks and benefits for IPV survivors and their children. They recommended further work to develop best practices to address IPV risks related to the pediatric EHR, to ensure consistent use of these practices, and to include these practices as standard functionalities of the pediatric EHR.
AHRQ-funded; HS022242.
Citation: Randell KA, Ragavan MI, Query LA .
Intimate partner violence and the pediatric electronic health record: a qualitative study.
Acad Pediatr 2022 Jul;22(5):824-32. doi: 10.1016/j.acap.2021.08.013..
Keywords: Children/Adolescents, Electronic Health Records (EHRs), Health Information Technology (HIT), Domestic Violence
Norton JM, Ip A, Ruggiano N
AHRQ Author: Camara DS, Hsiao CJ, Bierman AS
Assessing progress toward the vision of a comprehensive, shared electronic care plan: scoping review.
People with multiple chronic conditions often receive care from a broad array of clinicians across multiple health care settings, making it difficult to share care plans between those facilities and providers. One method for possibly improving care for those individuals is through the development and use of comprehensive, shared, electronic care (e-care) plans. The purpose of the study was to review existing e-care plans and related initiatives that could be utilized to develop a comprehensive, shared e-care plan, and facilitate the National Institutes of Health and Agency for Healthcare Research and Quality joint initiative’s creation of e-care planning tools for people with multiple chronic conditions. The researchers conducted a review of literature from 2015-2020, as well as interviews of expert informants to identify information missing from the literature search. The study identified 7 different interventions for e-care plans and 3 different projects for health care data standards, all of which included elements which could be utilized to further the goals of developing a comprehensive, shared e-care plan. The study concluded that while none of the existing interventions met all the optimal e-care plan criteria for people with multiple chronic conditions, each plan included the infrastructure necessary to progress toward that goal. The researchers reported that gaps must first be addressed, but that a comprehensive, shared e-care plan can improve care coordination across multiple care settings and clinicians.
AHRQ-authored.
Citation: Norton JM, Ip A, Ruggiano N .
Assessing progress toward the vision of a comprehensive, shared electronic care plan: scoping review.
J Med Internet Res 2022 Jun 10;24(6):e36569. doi: 10.2196/36569..
Keywords: Chronic Conditions, Care Coordination, Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare Delivery, Health Information Exchange (HIE)
Vallamkonda S, Ortega CA, Lo YC
Identifying and reconciling patients' allergy information within the electronic health record.
The authors examined the prevalence of incompleteness, inaccuracy, and redundancy of allergy information within the electronic health record (EHR) for patients with a clinical encounter at any Mass General Brigham facility between January 1 and December 31, 2018. They identified 4 key places in the EHR containing reconcilable allergy information and determined that 45.2% of the patients had an active allergy entry, with 37.1% indicating a need for reconciliation.
AHRQ-funded; HS025375.
Citation: Vallamkonda S, Ortega CA, Lo YC .
Identifying and reconciling patients' allergy information within the electronic health record.
Stud Health Technol Inform 2022 Jun 6;290:120-24. doi: 10.3233/shti220044..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Medication, Adverse Drug Events (ADE), Adverse Events
Villa Zapata L, Boyce RD, Chou E
QTc prolongation with the use of hydroxychloroquine and concomitant arrhythmogenic medications: a retrospective study using electronic health records data.
The purpose of this AHRQ-funded retrospective study of electronic health records was to assess changes in the QTc interval in patients taking hydroxychloroquine (with or without concomitant QT-prolonging medications.) Patients were placed into one of 6 cohorts, depending upon their monotherapy with one of 3 different medications: hydroxychloroquine, methotrexate, or sulfasalazine, or, based on their exposure to any combination of those drugs with any other drug known to increase the QT interval. The study concluded that compared to sulfasalazine or methotrexate, hydroxychloroquine was related with an increase in the QTc interval.
AHRQ-funded; HS025984.
Citation: Villa Zapata L, Boyce RD, Chou E .
QTc prolongation with the use of hydroxychloroquine and concomitant arrhythmogenic medications: a retrospective study using electronic health records data.
Drugs Real World Outcomes 2022 Jun 5:1-9. doi: 10.1007/s40801-022-00307-5..
Keywords: Medication, Cardiovascular Conditions, Electronic Health Records (EHRs), Health Information Technology (HIT)
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