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
1 to 25 of 224 Research Studies DisplayedDurojaiye AB, McGeorge N, Kristen W
Characterizing the utilization of the problem list for pediatric trauma care.
The EHR problem list has the potential to support care coordination among the multidisciplinary care team that cares for pediatric trauma patients. To realize this potential, the need exists to ensure appropriate utilization by formulating acceptable usage and management policy. In this regard, understanding the prevailing utilization pattern is pivotal. To this end, in this study, the investigators analyzed EHR in tandem with trauma registry data at a Level I pediatric trauma center.
AHRQ-funded; HS023837.
Citation: Durojaiye AB, McGeorge N, Kristen W .
Characterizing the utilization of the problem list for pediatric trauma care.
AMIA Annu Symp Proc 2018 Dec 5;2018:404-12..
Keywords: Care Coordination, Children/Adolescents, Electronic Health Records (EHRs), Emergency Department, Health Information Technology (HIT), Hospitals, Registries, Trauma
Gu Y, Leroy G, Pettygrove S
Optimizing corpus creation for training word embedding in low resource domains: a case study in Autism Spectrum Disorder (ASD).
Automating the extraction of behavioral criteria indicative of Autism Spectrum Disorder (ASD) in electronic health records (EHRs) can contribute significantly to the effort to monitor the condition. Word embedding algorithms such as Word2Vec can encode semantic meanings of words in vectors and assist in automated vocabulary discovery from EHRs. However, text available for training word embeddings for ASD is miniscule compared to the billions of tokens typically used. In this study, the investigators evaluated the importance of corpus specificity versus size and hypothesized that for specific domains small corpora can generate excellent word embeddings.
AHRQ-funded; HS024988.
Citation: Gu Y, Leroy G, Pettygrove S .
Optimizing corpus creation for training word embedding in low resource domains: a case study in Autism Spectrum Disorder (ASD).
AMIA Annu Symp Proc 2018 Dec 5;2018:508-17..
Keywords: Autism, Electronic Health Records (EHRs), Health Information Technology (HIT)
Wilcox L, Sharko M, Hong M
The need for guidance and consistency in adolescent privacy policies: a survey of CMIOs.
Research examining whether and how adolescent patients should gain access to their electronic health records is gaining momentum. In this study, the investigators conducted a survey to explore diversity in adolescent privacy policies and identify common approaches in health information technology management for adolescent patients. Through descriptive analyses of survey data, they found a wide range of institutional policies regarding adolescent patient privacy, and large variations in health IT executives' baseline knowledge of access policies.
AHRQ-funded; HS021531.
Citation: Wilcox L, Sharko M, Hong M .
The need for guidance and consistency in adolescent privacy policies: a survey of CMIOs.
AMIA Annu Symp Proc 2018 Dec 5;2018:1084-92..
Keywords: Children/Adolescents, Policy, Electronic Health Records (EHRs), Health Information Technology (HIT)
Dowding D, Merrill J, Russell D
Using feedback intervention theory to guide clinical dashboard design.
The provision of feedback to clinicians and organizations on the quality of care they provide is thought to influence clinician and organizational behavior leading to care improvements. Clinical Dashboards use data visualization techniques to provide feedback to individuals on their performance compared to quality metrics. In this paper the authors outline a theoretical approach to the design of a clinical dashboard; Feedback Intervention Theory (FIT).
AHRQ-funded; HS023855.
Citation: Dowding D, Merrill J, Russell D .
Using feedback intervention theory to guide clinical dashboard design.
AMIA Annu Symp Proc 2018 Dec 5;2018:395-403..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Provider Performance, Quality of Care, Quality Improvement
Senft N, Everson J
eHealth engagement as a response to negative healthcare experiences: cross-sectional survey analysis.
The goal of this study was to determine how the negative healthcare experiences of low patient centeredness and care coordination problems motivate the use of different eHealth activities, and whether more highly educated individuals are more likely than those less highly educated to use eHealth following negative experiences. Researchers used factor analysis to group 25 different eHealth activities into categories, based on the correlation between respondents' reports of their usage. Their findings indicate that individuals use a greater number of eHealth activities, especially activities independent of healthcare providers, when they experience problems with their healthcare; people with lower levels of education who have had negative healthcare experiences seem more inclined to use eHealth. The researchers recommend that, in order to maximize the potential for eHealth to meet the needs of all patients, especially those who are underserved, additional work is needed to ensure that eHealth resources are accessible to all members of the population.
AHRQ-funded; HS026122.
Citation: Senft N, Everson J .
eHealth engagement as a response to negative healthcare experiences: cross-sectional survey analysis.
J Med Internet Res 2018 Dec 5;20(12):e11034. doi: 10.2196/11034..
Keywords: Care Coordination, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient-Centered Healthcare, Patient Experience, Telehealth
Federman A, Sarzynski E, Brach C
AHRQ Author: Brach C
Challenges optimizing the after visit summary.
The purpose of this study was to describe experiences of health systems implementing a redesigned outpatient after visit summary (AVS) in commercially available electronic health record (EHR) systems to inform future optimization. The authors noted limitations to AVS modifications in EHR systems present challenges to optimizing the tool. They recommended that EHR vendors should incorporate learning from healthcare systems innovation efforts and consider building more flexibility into their product development.
AHRQ-authored; AHRQ-funded; HS023844.
Citation: Federman A, Sarzynski E, Brach C .
Challenges optimizing the after visit summary.
Int J Med Inform 2018 Dec;120:14-19. doi: 10.1016/j.ijmedinf.2018.09.009..
Keywords: Ambulatory Care and Surgery, Electronic Health Records (EHRs), Health Information Technology (HIT), System Design
Lacson R, Laroya R, Wang A
Integrity of clinical information in computerized order requisitions for diagnostic imaging.
This study compared the integrity of electronic health record (EHR) imaging order requisitions with EHR provider notes and their potential impact on order inaccuracies and interpretation of results. This retrospective study was conducted at a tertiary academic medical center using MRI lumbar spine and CT abdomen/pelvis orders performed from April 1 to May 31, 2016. Results showed that requisition indications were more likely to be incomplete than provider notes. Researchers recommended that relevant documentation be more readily available in EHRs.
Citation: Lacson R, Laroya R, Wang A .
Integrity of clinical information in computerized order requisitions for diagnostic imaging.
J Am Med Inform Assoc 2018 Dec;25(12):1651-56. doi: 10.1093/jamia/ocy133..
Keywords: Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Imaging
Wong J, Horwitz MM, Zhou L
Using machine learning to identify health outcomes from electronic health record data.
In this review, the authors discuss four common scenarios that researchers may find helpful for thinking critically about when and for what tasks machine learning may be used to identify health outcomes from electronic health record (EHR) data. The authors suggest that machine learning has great potential to improve the accuracy and efficiency of health outcome identification from EHR systems, especially under certain conditions.
AHRQ-funded; HS022728; HS024264; HS025375.
Citation: Wong J, Horwitz MM, Zhou L .
Using machine learning to identify health outcomes from electronic health record data.
Curr Epidemiol Rep 2018 Dec;5(4):331-42. doi: 10.1007/s40471-018-0165-9..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Outcomes
Leroy G, Gu Y, Pettygrove S
Automated extraction of diagnostic criteria from electronic health records for autism spectrum disorders: development, evaluation, and application.
The objective of this study was to automatically extract from EHRs the description of behaviors noted by the clinicians in evidence of the diagnostic criteria in the Diagnostic and Statistical Manual of Mental Disorders (DSM). The investigators concluded that their results demonstrated that natural language processing can support large-scale analysis useful for autism spectrum disorder surveillance and research.
AHRQ-funded; HS024988.
Citation: Leroy G, Gu Y, Pettygrove S .
Automated extraction of diagnostic criteria from electronic health records for autism spectrum disorders: development, evaluation, and application.
J Med Internet Res 2018 Nov 7;20(11):e10497. doi: 10.2196/10497..
Keywords: Autism, Electronic Health Records (EHRs)
Rolnick JA, Ryskina KL
The use of individual provider performance reports by US Hospitals.
In this study, the investigators examined overall trends in how hospitals use the electronic health record to track and provide feedback on provider performance. They used data from 2013 to 2015 from the American Hospital Association (AHA) Annual Survey Information Technology Supplement, which asked hospitals if they have used electronic data to create performance profiles. They linked these data to AHA Annual Survey responses for all general adult and pediatric hospitals and used Multivariable logistic regression to model the odds of use as a function of hospital characteristics.
AHRQ-funded; HS022198.
Citation: Rolnick JA, Ryskina KL .
The use of individual provider performance reports by US Hospitals.
J Hosp Med 2018 Aug;13(8):562-65. doi: 10.12788/jhm.2922..
Keywords: Provider Performance, Quality of Care, Provider, Hospitals, Electronic Health Records (EHRs), Health Information Technology (HIT)
Latulipe C, Quandt SA, Melius KA
Insights into older adult patient concerns around the caregiver proxy portal use: qualitative interview study.
The objective of this study was to examine how older adult patients perceive the benefits and risks of proxy patient portal access by their caregivers. The investigators concluded that patients shared their electronic patient portal credentials with caregivers to receive the benefits of those caregivers having access to important medical information but were unaware of all the information those caregivers could access. They suggest that better portal design could alleviate these unwanted information disclosures.
AHRQ-funded; HS021679.
Citation: Latulipe C, Quandt SA, Melius KA .
Insights into older adult patient concerns around the caregiver proxy portal use: qualitative interview study.
J Med Internet Res 2018 Nov 2;20(11):e10524. doi: 10.2196/10524..
Keywords: Electronic Health Records (EHRs), Elderly, Health Information Technology (HIT), Caregiving
Colborn KL, Bronsert M, Amioka E
Identification of surgical site infections using electronic health record data.
The objective of this study was to develop an algorithm for identifying surgical site infections (SSIs) using independent variables from electronic health record data and outcomes from the American College of Surgeons National Surgical Quality Improvement Program to supplement manual chart review. The investigators concluded that they identified a model that accurately identified SSIs. They indicated that the framework presented can be easily implemented by other American College of Surgeons National Surgical Quality Improvement Program-participating hospitals to develop models for enhancing surveillance of SSIs.
AHRQ-funded; HS026019.
Citation: Colborn KL, Bronsert M, Amioka E .
Identification of surgical site infections using electronic health record data.
Am J Infect Control 2018 Nov;46(11):1230-35. doi: 10.1016/j.ajic.2018.05.011..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare-Associated Infections (HAIs), Injuries and Wounds, Patient Safety, Surgery
Ratwani RM, Moscovitch B, Rising JP
Improving pediatric electronic health record usability and safety through certification: seize the day.
In this paper, the authors discuss the unique needs of pediatric patients and the differences between care for them and adults as it relates to electronic health records (EHR) and other healthcare technology. Given the centrality of EHRs to modern medicine, inadequate usability (the design, customization, and use of systems) can have serious ramifications on pediatric care, including patient harm, when technology is not optimized for the treatment of children.
AHRQ-funded; HS023701.
Citation: Ratwani RM, Moscovitch B, Rising JP .
Improving pediatric electronic health record usability and safety through certification: seize the day.
JAMA Pediatr 2018 Nov;172(11):1007-08. doi: 10.1001/jamapediatrics.2018.2784..
Keywords: Children/Adolescents, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety
Gianfrancesco MA, Tamang S, Yazdany J
Potential biases in machine learning algorithms using electronic health record data.
This Special Communication outlines the potential biases that may be introduced into machine learning-based clinical decision support tools that use electronic health record data and proposes potential solutions to the problems of overreliance on automation, algorithms based on biased data, and algorithms that do not provide information that is clinically meaningful.
AHRQ-funded; HS024412.
Citation: Gianfrancesco MA, Tamang S, Yazdany J .
Potential biases in machine learning algorithms using electronic health record data.
JAMA Intern Med 2018 Nov;178(11):1544-47. doi: 10.1001/jamainternmed.2018.3763..
Keywords: Electronic Health Records (EHRs), Clinical Decision Support (CDS), Health Information Technology (HIT), Decision Making
Wright A, Aaron S, Seger DL
Reduced effectiveness of interruptive drug-drug interaction alerts after conversion to a commercial electronic health record.
This study examined the effects of conversion from a homegrown electronic health record (EHR) system to a commercial system on the effectiveness of drug-drug interaction (DDI) alert. The EHR system included 3277 clinicians in the before and after studies. There was a marked decrease in the acceptance rate (100 to 8.4% for severe alerts, 29.3 to 7.5% for medium severity) at first. The least severe alerts were then disabled, which lowered the alert burden by 50.5% which rose the acceptance of Tier 1 alerts to 12.7%. However, there was no clear explanation after that why the acceptance rate remained so much lower. The authors believe that workflow factors were probably the predominant reasons.
AHRQ-funded; HS016970.
Citation: Wright A, Aaron S, Seger DL .
Reduced effectiveness of interruptive drug-drug interaction alerts after conversion to a commercial electronic health record.
J Gen Intern Med 2018 Nov;33(11):1868-76. doi: 10.1007/s11606-018-4415-9..
Keywords: Adverse Drug Events (ADE), Medication, Adverse Events, Medical Errors, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety
Khoong EC, Cherian R, Rivadeneira NA
Accurate measurement In California's safety-net health systems has gaps and barriers.
The purpose of this study was to measure California’s pay-for-performance program in safety-net hospitals. Results showed both suboptimal performance in aspects of ambulatory safety and questionable reliability in data reporting. Health care systems that lack seamlessly integrated electronic health records and patient registries encountered barriers to reporting reliable ambulatory safety data, precluding accurate performance measurement in many areas. The authors recommended that policymakers and safety advocates support the development of information systems and measures that facilitate the accurate ascertainment of the health systems, patients, and clinical tasks at greatest risk for ambulatory safety failures.
AHRQ-funded; HS024412; HS024426.
Citation: Khoong EC, Cherian R, Rivadeneira NA .
Accurate measurement In California's safety-net health systems has gaps and barriers.
Health Aff 2018 Nov;37(11):1760-69. doi: 10.1377/hlthaff.2018.0709..
Keywords: Ambulatory Care and Surgery, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety, Provider Performance, Quality Indicators (QIs), Payment
Prey JE, Polubriaginof F, Grossman LV
Engaging hospital patients in the medication reconciliation process using tablet computers.
Researchers conducted a pilot study to determine whether patients’ use of an electronic home medication review tool on a table computer could improve medication safety before or after hospitalization. Patients were randomized to the tool and out of 76 patients approached, 65 participated. About three-quarters (74%) made changes to their home medication list. Out of that total, 74% of the changes identified had a significant or greater potential severity, and 49% had a greater than 50-50 chance of harm. This medication reconciliation tool showed great potential to improve medication safety during and after hospitalization.
AHRQ-funded; HS021816.
Citation: Prey JE, Polubriaginof F, Grossman LV .
Engaging hospital patients in the medication reconciliation process using tablet computers.
J Am Med Inform Assoc 2018 Nov;25(11):1460-69. doi: 10.1093/jamia/ocy115..
Keywords: Adverse Drug Events (ADE), Adverse Events, Electronic Health Records (EHRs), Health Information Technology (HIT), Hospitalization, Hospitals, Medication, Medication: Safety, Patient and Family Engagement, Patient Safety, Prevention
Ratwani RM, Savage E, Will A
Identifying electronic health record usability and safety challenges in pediatric settings.
To understand specific usability issues and medication errors in the care of children, the investigators analyzed 9,000 patient safety reports, made in the period 2012-17, from three different health care institutions that were likely related to EHR use. They found: the general pattern of usability challenges and medication errors were the same across the three sites; the most common usability challenges were associated with system feedback and the visual display; and the most common medication error was improper dosing.
AHRQ-funded; HS023701.
Citation: Ratwani RM, Savage E, Will A .
Identifying electronic health record usability and safety challenges in pediatric settings.
Health Aff 2018 Nov;37(11):1752-59. doi: 10.1377/hlthaff.2018.0699..
Keywords: Children/Adolescents, Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Medication, Medication: Safety, Patient Safety, Children/Adolescents
Bates DW, Singh H
Two decades since To Err Is Human: an assessment of progress and emerging priorities in patient safety.
This paper comments on the progress made in improving patient safety since the 1999 report from The Institute of Medicine titled “To Err is Human” was published. This landmark report highlighted problem areas, and since then there has been a number of effective interventions to prevent hospital-acquired infections and improve medication safety. Additional areas for improvement have also been identified in the past two decades, including outpatient care, diagnostic, errors and the use of health information technology. The authors believe that electronic data developments can help increase patient safety even further.
AHRQ-funded; HS022087; HS017820.
Citation: Bates DW, Singh H .
Two decades since To Err Is Human: an assessment of progress and emerging priorities in patient safety.
Health Aff 2018 Nov;37(11):1736-43. doi: 10.1377/hlthaff.2018.0738..
Keywords: Adverse Drug Events (ADE), Adverse Events, Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Medication, Medication: Safety, Patient Safety, Prevention
Vemulakonda VM, Bush RA, Kahn MG
"Minimally invasive research?" Use of the electronic health record to facilitate research in pediatric urology.
This literature study examined the use of electronic health records (EHRs) to facilitate research in pediatric urology. The use of EHRs has been strongly encouraged by US federal agencies, including AHRQ. The researchers found that EHR use for research has strengths and weaknesses and more collaboration is needed to identify the method that best suits incorporation of research-oriented data collection into routine pediatric urologic clinical practice.
AHRQ-funded; HS024597; HS022404.
Citation: Vemulakonda VM, Bush RA, Kahn MG .
"Minimally invasive research?" Use of the electronic health record to facilitate research in pediatric urology.
J Pediatr Urol 2018 Oct;14(5):374-81. doi: 10.1016/j.jpurol.2018.04.033..
Keywords: Electronic Health Records (EHRs), Children/Adolescents, Health Information Technology (HIT), Health Services Research (HSR), Research Methodologies
Lybarger KJ, Ostendorf M, Riskin E
Asynchronous speech recognition affects physician editing of notes.
Clinician progress notes are an important record for care and communication, but there is a perception that electronic notes take too long to write and may not accurately reflect the patient encounter, threatening quality of care. Automatic speech recognition (ASR) has the potential to improve clinical documentation process; however, ASR inaccuracy and editing time are barriers to wider use. In this study, the investigators hypothesized that automatic text processing technologies could decrease editing time and improve note quality.
AHRQ-funded; HS023631.
Citation: Lybarger KJ, Ostendorf M, Riskin E .
Asynchronous speech recognition affects physician editing of notes.
Appl Clin Inform 2018 Oct;9(4):782-90. doi: 10.1055/s-0038-1673417..
Keywords: Provider: Physician, Provider, Electronic Health Records (EHRs), Health Information Technology (HIT)
Blumenthal KG, Li Y, Acker WW
Multiple drug intolerance syndrome and multiple drug allergy syndrome: epidemiology and associations with anxiety and depression.
In this study, the authors used electronic health record (EHR) data to describe prevalences of MDIS and MDAS and to examine associations with anxiety and depression. The investigators concluded that: 1.) while 6% of patients had MDIS, only 1% had MDAS; 2.) MDIS was associated with both anxiety and depression; 3.) patients with both anxiety and depression had an almost twofold increased odds of MDIS; 4.) MDAS was associated with a 40% increased odds of depression, but there was no significant association with anxiety.
AHRQ-funded; HS022728.
Citation: Blumenthal KG, Li Y, Acker WW .
Multiple drug intolerance syndrome and multiple drug allergy syndrome: epidemiology and associations with anxiety and depression.
Allergy 2018 Oct;73(10):2012-23. doi: 10.1111/all.13440..
Keywords: Adverse Drug Events (ADE), Adverse Events, Anxiety, Depression, Electronic Health Records (EHRs), Health Information Technology (HIT), Medication, Behavioral Health, Patient Safety
Panattoni L, Chan A, Yang Y
Nudging physicians and patients with autopend clinical decision support to improve diabetes management.
This study’s objective was to determine the impact on routine glycalated hemoglobin (A1C) laboratory test completion of incorporating an autopend laboratory order functionality into clinical decision support. The clinical decision support includes 1) routing provider alerts to a separate electronic folder, 2) automatically populating preauthorization forms, and 3) linking the timing and content of electronic patient health maintenance topic (HMT) reminders to the provider authorization. The likelihood of A1C laboratory test completion increased after autopend by between 21% to 33.9%.
AHRQ-funded; HS019167.
Citation: Panattoni L, Chan A, Yang Y .
Nudging physicians and patients with autopend clinical decision support to improve diabetes management.
Am J Manag Care 2018 Oct;24(10):479-83..
Keywords: Clinical Decision Support (CDS), Decision Making, Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT)
Sieck CJ, Walker DM, Hefner JL
Understanding secure messaging in the inpatient environment: a new avenue for communication and patient engagement.
Patient portals, and the secure messaging feature in particular, have been studied in the outpatient setting, but research in the inpatient setting is relatively less mature. In this study, the investigators analyzed and categorized messages sent within an inpatient portal to understand the topics discussed in secure messaging in the inpatient environment. They concluded that their analysis of secure message content suggested certain message types and topics such as Alerts/Requests and Questions about symptoms and treatment plans were particularly important to patients.
AHRQ-funded; HS024091; HS024349; HS024379.
Citation: Sieck CJ, Walker DM, Hefner JL .
Understanding secure messaging in the inpatient environment: a new avenue for communication and patient engagement.
Appl Clin Inform 2018 Oct;9(4):860-68. doi: 10.1055/s-0038-1675814..
Keywords: Clinician-Patient Communication, Communication, Electronic Health Records (EHRs), Health Information Technology (HIT), Inpatient Care, Patient and Family Engagement
Karavite DJ, Miller MW, Ramos MJ
User testing an information foraging tool for ambulatory surgical site infection surveillance.
Surveillance for surgical site infections (SSIs) after ambulatory surgery in children requires a detailed manual chart review to assess criteria defined by the National Health and Safety Network. Electronic health records (EHRs) impose an inefficient search process. Using text mining and business intelligence software, the authors developed an information foraging application, the SSI Workbench, to visually present which postsurgical encounters included SSI-related terms and synonyms, antibiotic, and culture orders. This study compares the Workbench and EHR.
AHRQ-funded; HS020921.
Citation: Karavite DJ, Miller MW, Ramos MJ .
User testing an information foraging tool for ambulatory surgical site infection surveillance.
Appl Clin Inform 2018 Oct;9(4):791-802. doi: 10.1055/s-0038-1675179..
Keywords: Surgery, Ambulatory Care and Surgery, Children/Adolescents, Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare-Associated Infections (HAIs), Patient Safety