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AHRQ Research Studies Date
Topics
- Brain Injury (4)
- (-) Children/Adolescents (9)
- (-) Clinical Decision Support (CDS) (9)
- Diagnostic Safety and Quality (1)
- Electronic Health Records (EHRs) (2)
- Evidence-Based Practice (2)
- Guidelines (1)
- Healthcare-Associated Infections (HAIs) (1)
- Health Information Technology (HIT) (8)
- Hospital Discharge (1)
- Imaging (1)
- Influenza (1)
- Intensive Care Unit (ICU) (1)
- Primary Care (3)
- Shared Decision Making (6)
- Vaccination (1)
AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 9 of 9 Research Studies DisplayedGreenberg JK, Otun A, Kyaw PT
Usability and acceptability of clinical decision support based on the KIIDS-TBI tool for children with mild traumatic brain injuries and intracranial injuries.
The Kids Intracranial Injury Decision Support tool for Traumatic Brain Injury (KIIDS-TBI) is a validated risk prediction model designed to manage children with mild traumatic brain injuries (mTBI) and intracranial injuries. Implementing electronic clinical decision support (CDS) may help integrate this evidence-based guidance into clinical practice. The purpose of this study was to assess the acceptability and usability of an electronic CDS tool for managing children with mTBI and intracranial injuries. Emergency medicine and neurosurgery physicians (10 each) from 10 hospitals in the United States participated in usability testing of a novel CDS prototype within a simulated electronic health record environment. The testing involved a think-aloud protocol, an acceptability and usability survey, and a semi-structured interview. The prototype underwent two updates during testing based on user feedback. Usability issues identified in the videos were categorized using content analysis, while interview transcripts were analyzed using thematic analysis. The study found that of the 20 participants, the majority worked at teaching hospitals (80%), freestanding children's hospitals (95%), and level-1 trauma centers (75%). During the two prototype updates, issues with clarity of terminology and navigation within the CDS interface were identified and resolved. As a result, the number of usability problems decreased from 35 in phase 1 to 8 in phase 3, and the number of errors made dropped from 18 in phase 1 to 2 in phase 3. According to the survey, 90% of participants found the tool easy to use, 95% found the tool useful in determining a patient's level of care, 90% found it likely to improve resource utilization, and 79% found it likely to improve patient safety. Interview themes focused on the CDS's capability to support evidence-based decision-making and enhance clinical workflow, as well as suggested implementation strategies and potential challenges.
AHRQ-funded; HS027075.
Citation: Greenberg JK, Otun A, Kyaw PT .
Usability and acceptability of clinical decision support based on the KIIDS-TBI tool for children with mild traumatic brain injuries and intracranial injuries.
Appl Clin Inform 2022 Mar; 13(2):456-67. doi: 10.1055/s-0042-1745829..
Keywords: Children/Adolescents, Clinical Decision Support (CDS), Brain Injury, Health Information Technology (HIT)
Greenberg JK, Ahluwalia R, Hill M
Development and external validation of the KIIDS-TBI tool for managing children with mild traumatic brain injury and intracranial injuries.
This study's objectives were to develop a new risk model with improved sensitivity compared to the CHIIDA model for the post-neuroimaging management of children with mild traumatic brain injuries (mTBI) and intracranial injuries and further to validate externally the new model and CHIIDA model in a multicenter data set. Findings showed that the KIIDS-TBI model had high sensitivity and moderate specificity for risk stratifying children with mTBI and intracranial injuries. The researchers concluded that the use of their clinical decision support tool may help improve the safe, resource-efficient management of this important patient population.
AHRQ-funded; HS027075.
Citation: Greenberg JK, Ahluwalia R, Hill M .
Development and external validation of the KIIDS-TBI tool for managing children with mild traumatic brain injury and intracranial injuries.
Acad Emerg Med 2021 Dec;28(12):1409-20. doi: 10.1111/acem.14333..
Keywords: Children/Adolescents, Brain Injury, Clinical Decision Support (CDS), Shared Decision Making, Health Information Technology (HIT)
Marin JR, Rodean J, Mannix RC
Association of clinical guidelines and decision support with CT use in pediatric mild traumatic brain injury.
The objective of this study was to examine whether the presence of clinical guidelines and clinical decision support (CDS) for mild traumatic brain injury (mTBI) were associated with lower head computed tomography (CT) use. The investigators concluded that clinical guidelines for mTBI, and particularly CDS, were associated with lower rates of head CT use without adverse clinical outcomes.
AHRQ-funded; HS026006.
Citation: Marin JR, Rodean J, Mannix RC .
Association of clinical guidelines and decision support with CT use in pediatric mild traumatic brain injury.
J Pediatr 2021 Aug;235:178-83.e1. doi: 10.1016/j.jpeds.2021.04.026..
Keywords: Children/Adolescents, Clinical Decision Support (CDS), Shared Decision Making, Health Information Technology (HIT), Brain Injury, Guidelines, Evidence-Based Practice, Imaging
Orenstein EW, ElSayed-Ali O, Kandaswamy S
Evaluation of a clinical decision support strategy to increase seasonal influenza vaccination among hospitalized children before inpatient discharge.
The authors’ goal was to design and evaluate a clinical decision support (CDS) strategy to increase the proportion of eligible hospitalized children who receive a seasonal influenza vaccine prior to inpatient discharge. They found that a user-centered CDS may be associated with significantly improved influenza vaccination rates among hospitalized children.
AHRQ-funded; HS027689.
Citation: Orenstein EW, ElSayed-Ali O, Kandaswamy S .
Evaluation of a clinical decision support strategy to increase seasonal influenza vaccination among hospitalized children before inpatient discharge.
JAMA Netw Open 2021 Jul;4(7):e2117809. doi: 10.1001/jamanetworkopen.2021.17809..
Keywords: Children/Adolescents, Influenza, Vaccination, Clinical Decision Support (CDS), Health Information Technology (HIT), Hospital Discharge
Greenberg JK, Otun A, Nasraddin A
Electronic clinical decision support for children with minor head trauma and intracranial injuries: a sociotechnical analysis.
This paper discusses the development of an evidence-based clinical decision support (CDS) for management of children with minor head trauma (MHT) and evaluates the sociotechnical environment impacting the implementation of electronic CDS, including workflow and communication, institutional culture, and hardware and software infrastructure. Semi-structured qualitative focus group interviews were conducted with 28 physicians and four information technology specialists between March and May 2020. Five primary themes were identified through inductive thematic analysis: 1) clinical impact; 2) stakeholders and users; 3) tool content; 4) clinical practice integration; and 5) post-implementation evaluation measures. Participants generally supported CDS use to determine an appropriate level-of-care. However, some had mixed feelings regarding how the tool could best be used by neurosurgeons versus non-neurosurgeons. Feedback helped refine the tool content and highlighted potential technical and workflow barriers to address prior to implementation.
AHRQ-funded; HS027075.
Citation: Greenberg JK, Otun A, Nasraddin A .
Electronic clinical decision support for children with minor head trauma and intracranial injuries: a sociotechnical analysis.
BMC Med Inform Decis Mak 2021 May 19;21(1):161. doi: 10.1186/s12911-021-01522-w.
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Keywords: Children/Adolescents, Clinical Decision Support (CDS), Brain Injury, Health Information Technology (HIT), Evidence-Based Practice, Shared Decision Making
Sick-Samuels AC, Linz M, Bergmann J
Diagnostic stewardship of endotracheal aspirate cultures in a PICU.
This study describes the development and impact of a clinical decision support algorithm to standardize the use of endotracheal aspirate cultures (EACs) from ventilated PICU patients in the evaluation of suspected ventilator-associated infections. Bacterial growth in EACs does not distinguish bacterial colonization from infection and may lead to overtreatment with antibiotics. The rate of EACs was compared pre- and postintervention. In the preintervention year there were 557 EACs over 5092 ventilator days. After introduction of the algorithm the rate went down to 234 EACs over 3654 ventilator days. There was a 41% decrease in the monthly rate of EACs. This intervention did not affect mortality, readmissions, or length of stay in ventilated PICU patients.
AHRQ-funded; HS025642.
Citation: Sick-Samuels AC, Linz M, Bergmann J .
Diagnostic stewardship of endotracheal aspirate cultures in a PICU.
Pediatrics 2021 May;147(5). doi: 10.1542/peds.2020-1634..
Keywords: Children/Adolescents, Intensive Care Unit (ICU), Clinical Decision Support (CDS), Shared Decision Making, Healthcare-Associated Infections (HAIs), Diagnostic Safety and Quality
Carroll AE, Bauer NS, Dugan TM
Use of a computerized decision aid for developmental surveillance and screening: a randomized clinical trial.
A study to determine whether a computerized clinical decision support system is an effective approach to improve standardized developmental surveillance and screening (DSS) within primary care practices found that use of such a system significantly increased the number of children screened at 9, 18, and 30 months of age. It also increased the number of children who ultimately were diagnosed as having a developmental delay.
AHRQ-funded; HS017939
Citation: Carroll AE, Bauer NS, Dugan TM .
Use of a computerized decision aid for developmental surveillance and screening: a randomized clinical trial.
JAMA Pediatr. 2014 Sep;168(9):815-21. doi: 10.1001/jamapediatrics.2014.464..
Keywords: Health Information Technology (HIT), Clinical Decision Support (CDS), Primary Care, Children/Adolescents
Bauer NS, Carroll AE, Downs SM
Understanding the acceptability of a computer decision support system in pediatric primary care.
In this study, the investigators examine the attitudes and opinions of pediatric users' toward the Child Health Improvement through Computer Automation (CHICA) system, a computer decision support system linked to an electronic health record in four community pediatric clinics. The investigators found that pediatric users appreciated the system's automation and enhancements that allowed relevant and meaningful clinical data to be accessible at point of care.
AHRQ-funded; HS018453; HS017939.
Citation: Bauer NS, Carroll AE, Downs SM .
Understanding the acceptability of a computer decision support system in pediatric primary care.
J Am Med Inform Assoc 2014 Jan-Feb;21(1):146-53. doi: 10.1136/amiajnl-2013-001851..
Keywords: Children/Adolescents, Clinical Decision Support (CDS), Shared Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Primary Care
Bauer NS, Carroll AE, Downs SM
Understanding the acceptability of a computer decision support system in pediatric primary care.
In this study, the investigators examine the attitudes and opinions of pediatric users' toward the Child Health Improvement through Computer Automation (CHICA) system, a computer decision support system linked to an electronic health record in four community pediatric clinics. The investigators found that pediatric users appreciated the system's automation and enhancements that allowed relevant and meaningful clinical data to be accessible at point of care.
AHRQ-funded; HS018453; HS017939.
Citation: Bauer NS, Carroll AE, Downs SM .
Understanding the acceptability of a computer decision support system in pediatric primary care.
J Am Med Inform Assoc 2014 Jan-Feb;21(1):146-53. doi: 10.1136/amiajnl-2013-001851..
Keywords: Children/Adolescents, Clinical Decision Support (CDS), Shared Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Primary Care