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 79 Research Studies DisplayedShear K, Rice H, Garabedian PM
Usability testing of an interoperable computerized clinical decision support tool for fall risk management in primary care.
The purpose of this study was to conduct usability testing of the ASPIRE fall risk management tool for use in divergent primary care clinics. Participants recruited from two sites with different electronic health records and clinical organizations used ASPIRE across two clinical scenarios; they rated ASPIRE usability as above average, based on usability benchmarks. Time spent on tasks decreased significantly between the first and second scenarios, indicating ease of learnability. The authors conclude that ASPIRE could be integrated into diverse organizations, since it allows a tailored implementation without the need to build a new system for each organization. ASPIRE is therefore well positioned to impact the challenge of falls at scale.
AHRQ-funded; HS027557.
Citation: Shear K, Rice H, Garabedian PM .
Usability testing of an interoperable computerized clinical decision support tool for fall risk management in primary care.
Appl Clin Inform 2023 Mar;14(2):212-26. doi: 10.1055/a-2006-4936.
Keywords: Clinical Decision Support (CDS), Decision Making, Health Information Technology (HIT), Falls, Primary Care, Risk, Prevention
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: Decision Making, Medication, Blood Thinners, Clinical Decision Support (CDS), Health Information Technology (HIT), Medication: Safety, Patient Safety
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), Decision Making
Dorr DA, Richardson JE, Bobo M
Provider perspectives on patient- and provider-facing high blood pressure clinical decision support.
This study tried to partly address the challenge of developing a patient-facing clinician decision support (CDS) for persistent high blood pressure (HBP). The authors sought to understand provider variations and rationales related to HBP guideline recommendations and perceptions regarding patient role and use of digital tools. They implemented a pilot and final survey for hypertension experts and primary care physicians. Five clinical cases were presented that queried clinicians' attitudes related to actions; variations; prioritization; patient input; importance; and barriers for HBP diagnosis, monitoring, and treatment. Fifteen hypertension experts and 14 providers took the pilot and final versions of the survey. The majority (over 80%) of providers felt the recommendations were important yet found them difficult to follow-up to 90% of the time. Provider perceptions of relative amounts of patient input and patient work for effective HBP management ranged from 22 to 100%. Reasons for variation provided included adverse effects of treatment, patient comorbidities, shared decision-making, and health care cost and access issues. Respondents were generally positive toward patient use of electronic CDS applications but worried about access to health care, nuance of recommendations, and patient understanding of the tools.
AHRQ-funded; HS26849.
Citation: Dorr DA, Richardson JE, Bobo M .
Provider perspectives on patient- and provider-facing high blood pressure clinical decision support.
Appl Clin Inform 2022 Oct;13(5):1131-40. doi: 10.1055/a-1926-0199..
Keywords: Blood Pressure, Clinical Decision Support (CDS), Decision Making, Provider: Physician
Gallo T, Heise CW, Woosley RL
Clinician satisfaction with advanced clinical decision support to reduce the risk of torsades de pointes.
The purpose of this study was to create an advanced torsades de pointes (TdP) clinical decision support (CDS) advisory that provides relevant, patient-specific information, including 1-click management options, and to evaluate clinician satisfaction with the CDS. The researchers implemented the advanced TdP CDS across a health system comprising 29 hospitals. A brief electronic survey was developed to collect clinician feedback on the advisory and was emailed to 442 clinicians who received the advisory. Feedback was generally positive across the 38 responding providers, with 79% of respondents reporting that the advisory assisted with their care for their patients and 87% responding that the alerts clearly specified alternative actions. The researchers concluded that providers who receive an advanced TdP risk CDS alert generally view the alert favorably.
AHRQ-funded; HS026662.
Citation: Gallo T, Heise CW, Woosley RL .
Clinician satisfaction with advanced clinical decision support to reduce the risk of torsades de pointes.
J Patient Saf 2022 Sep 1;18(6):e1010-e13. doi: 10.1097/pts.0000000000000996..
Keywords: Clinical Decision Support (CDS), Decision Making, Risk, Provider: Clinician, Heart Disease and Health, Cardiovascular Conditions
Kagarmanova A, Sparkman H, Laiteerapong N
Improving the management of chronic pain, opioid use, and opioid use disorder in older adults: study protocol for i-cope study.
This article describes a protocol for an upcoming study on the planned implementation and evaluation of I-COPE (Improving Chicago Older Adult Opioid and Pain Management through Patient-centered Clinical Decision Support and Project ECHO®) to improve care for older adults with chronic pain, opioid use, and opioid use disorder (OUD). The study will be implemented in 35 clinical sites across the metropolitan Chicago area for patients aged ≥ 65 with chronic pain, opioid use, or OUD who receive primary care at one of the clinics. I-COPE includes the integration of patient-reported data on symptoms and preferences, clinical decision support tools and shared decision making into routine primary care. Primary care providers will be trained on the tools through web-based videos and an optional Project ECHO® course, entitled "Pain Management and OUD in Older Adults." A framework called RE-AIM will be used to assess the I-COPE implementation. Outcomes considered effective include an increased variety of recommended pain treatments, decreased prescriptions of higher-risk pain treatments, and decreased patient pain scores. Outcomes will be evaluated at 6 and 12 months after implementation, and PCPs participating in Project ECHO® will be evaluated on changes in knowledge, attitudes, and self-efficacy using pre- and post-course surveys.
AHRQ-funded; HS027910.
Citation: Kagarmanova A, Sparkman H, Laiteerapong N .
Improving the management of chronic pain, opioid use, and opioid use disorder in older adults: study protocol for i-cope study.
Trials 2022 Jul 27;23(1):602. doi: 10.1186/s13063-022-06537-w..
Keywords: Elderly, Pain, Chronic Conditions, Opioids, Medication, Substance Abuse, Behavioral Health, Clinical Decision Support (CDS), Decision Making, Health Information Technology (HIT)
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, Decision Making
Nanji KC, Garabedian PM, Langlieb ME
Usability of a perioperative medication-related clinical decision support software application: a randomized controlled trial.
The purpose of this study was assess the usability of a newly developed, comprehensive, medication-related operating room clinical decision support (CDS) software and compare it with the standard electronic health record (EHR) medication workflow. Forty participants were randomized to a CDS group (n=20) or a control group (n=20) and asked to complete 7 simulation tasks. The study found that in a simulation setting the new CDS software improved efficiency and quality of care and reduced task time, excelling over the current EHR workflow.
AHRQ-funded; HS024764.
Citation: Nanji KC, Garabedian PM, Langlieb ME .
Usability of a perioperative medication-related clinical decision support software application: a randomized controlled trial.
J Am Med Inform Assoc 2022 Jul 12;29(8):1416-24. doi: 10.1093/jamia/ocac035..
Keywords: Medication, Clinical Decision Support (CDS), Health Information Technology (HIT), Surgery, Decision Making
Dullabh P, Sandberg SF, Heaney-Huls K
AHRQ Author: Berliner E, Dymek C, Harrison MI, Swiger J
Challenges and opportunities for advancing patient-centered clinical decision support: findings from a horizon scan.
This AHRQ-authored horizon scan identified challenges and opportunities for advancing patient-centered clinical decision support (PC CDS) and future directions for PC CDS. The authors engaged a technical expert panel, conducted a scoping literature review, and interviewed key informants. They quantitatively analyzed literature and interview transcripts and mapped the findings to the 4 phases translating evidence into PC CDS interventions (Prioritizing, Authoring, Implementing, and Measuring) and to external factors. Twelve challenges were identified for PC CDS development with lack of patient input identified as a critical challenge. Lack of patient-centered terminology standards was viewed as a challenge in authoring PC CDS. They also found a dearth of CDS studies that measured clinical outcomes, creating significant gaps in the understanding of PC CDS’ impact.
AHRQ-authored; AHRQ-funded; 233201500023I.
Citation: Dullabh P, Sandberg SF, Heaney-Huls K .
Challenges and opportunities for advancing patient-centered clinical decision support: findings from a horizon scan.
J Am Med Inform Assoc 2022 Jun 14;29(7):1233-43. doi: 10.1093/jamia/ocac059.
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Keywords: Clinical Decision Support (CDS), Patient-Centered Healthcare, Health Information Technology (HIT), Decision Making, Patient-Centered Outcomes Research, Evidence-Based Practice
Gallo T, Heise CW, Woosley RL
Clinician responses to a clinical decision support advisory for high risk of Torsades de pointes.
The purpose of this study was to assess provider actions taken in response to a Clinical decision support (CDS) advisory for Torsade de pointes (TdP) that uses a modified Tisdale QT risk score and presents single click management options. The researchers implemented an inpatient TdP risk advisory across a large, 30 hospital health care system. The CDS advisory was programmed to appear when prescribers attempted to order medications with a known risk of TdP in a patient. The CDS advisory displayed patient-specific information and offered related management options including canceling the requested medication and ordering relevant protocols. The study found that 7794 TdP risk advisories were issued during an 8-month period. The most frequent advisory trigger was antibiotics (33.1%.) The most frequent action taken as a result of the advisory was ordering an ECG (20.3%). Incoming medication orders were canceled in 10.2% of the advisories. The researchers concluded that a single-click, modified Tisdale QT risk score-based CDS resulted in a high action/response rate.
AHRQ-funded; HS026662.
Citation: Gallo T, Heise CW, Woosley RL .
Clinician responses to a clinical decision support advisory for high risk of Torsades de pointes.
J Am Heart Assoc 2022 Jun 7;11(11):e024338. doi: 10.1161/jaha.122.024338..
Keywords: Clinical Decision Support (CDS), Decision Making, Health Information Technology (HIT), Heart Disease and Health, Cardiovascular Conditions
Dullabh P, Heaney-Huls K, Hovey L
The technology landscape of patient-centered clinical decision support - where are we and what is needed?
This paper explores the technology landscape for patient-centered clinical decision support (PC CDS) and what has come out of Patient Centered Outcomes Research (PCOR) and health care delivery system transformation efforts. The authors explore what is needed to make it more shareable, standards-based, and publicly available with the goal of improving patient care and clinical outcomes. Three sources of information were used: (1) a 22-member technical expert panel; (2) a literature review of peer-reviewed and grey literature; and (3) key informant interviews with PC CDS stakeholders. Ten salient technical considerations that span all phases of PC CDS development were identified. Although significant progress has been made, challenges remain.
AHRQ-funded; 233201500023I.
Citation: Dullabh P, Heaney-Huls K, Hovey L .
The technology landscape of patient-centered clinical decision support - where are we and what is needed?
Stud Health Technol Inform 2022 Jun 6;290:350-53. doi: 10.3233/shti220094..
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Patient-Centered Outcomes Research, Decision Making
Dullabh P, Heaney-Huls K, Lobach DF
AHRQ Author: Lomotan E, Swiger J, Harrison MI, Dymek C
The technical landscape for patient-centered CDS: progress, gaps, and challenges.
The purpose of this study was to evaluate the technical landscape for patient-centered clinical decision support (PC CDS) methods to assess the gaps in making PC CDS more standard-based, publicly available, and with greater shareability. The researchers utilized qualitative data from a literature review, a panel of technical experts, and interviews with 18 CDS stakeholders to identify 7 technical considerations that span 5 phases of the development of PC CDS. The authors concluded that while there has been progress in the technical landscape, the field of CDS must focus on improving a number of CDS methods and processes, including standards for translating clinical guidelines into patient-centered clinical decision support, procedures to collect, standardize, and incorporate health data generated by patients, and other CDS processes.
AHRQ-authored; AHRQ-funded; 233201500023I.
Citation: Dullabh P, Heaney-Huls K, Lobach DF .
The technical landscape for patient-centered CDS: progress, gaps, and challenges.
J Am Med Inform Assoc 2022 May 11;29(6):1101-05. doi: 10.1093/jamia/ocac029..
Keywords: Clinical Decision Support (CDS), Decision Making, Patient-Centered Healthcare, Health Information Technology (HIT)
Rice H, Garabedian PM, Shear K
Clinical decision support for fall prevention: defining end-user needs.
The purpose of this study was to identify patient and primary care staff needs for development of a tool that will generate clinical decision support (CDS) to prevent falls and injuries in older adults. Community-dwelling patients aged 60 and over and primary care clinic staff were eligible to participate in the study; all were affiliated with the University of Florida Health Archer Family Health Care primary care clinic and the Brigham & Women's Hospital-affiliated primary care clinics. Through qualitative interviews with patients (n=18) and primary care clinic staff (n=24) user needs were identified and then categorized into the following themes: evidence-based safe exercises; expert guidance; individualized resources; in-person assessment of patient condition; motivational tools; patient understanding of fall risk; personal support networks; systematic communication and workload burden. The study concluded that personalized, actionable, and evidence-based clinical decision support may be able to address some of the many gaps that exist in fall prevention management in older adults.
AHRQ-funded; HS027557.
Citation: Rice H, Garabedian PM, Shear K .
Clinical decision support for fall prevention: defining end-user needs.
Appl Clin Inform 2022 May;13(3):647-55. doi: 10.1055/s-0042-1750360..
Keywords: Elderly, Falls, Prevention, Clinical Decision Support (CDS), Decision Making, Health Information Technology (HIT)
Jacobsohn GC, Leaf M, Liao F
Collaborative design and implementation of a clinical decision support system for automated fall-risk identification and referrals in emergency departments.
The authors used a collaborative and iterative approach to design and implement an automated clinical decision support system (CDS) for Emergency Department (ED) providers to identify and refer older adult ED patients at high risk of future falls. The system was developed using collaborative input from an interdisciplinary design team and integrated seamlessly into existing ED workflows. A key feature of development was the unique combination of patient experience strategies, human-centered design, and implementation science, which allowed for the CDS tool and intervention implementation strategies to be designed simultaneously. Challenges included: usability problems, data inaccessibility, time constraints, low appointment availability, high volume of patients, and others. The study concluded that using the collaborative, iterative approach was successful in achieving all project goals, and could be applied to other cases.
AHRQ-funded; HS024558.
Citation: Jacobsohn GC, Leaf M, Liao F .
Collaborative design and implementation of a clinical decision support system for automated fall-risk identification and referrals in emergency departments.
Healthc 2022 Mar;10(1):100598. doi: 10.1016/j.hjdsi.2021.100598..
Keywords: Elderly, Clinical Decision Support (CDS), Decision Making, Falls, Risk, Emergency Department, Health Information Technology (HIT)
Lin E, Uhler LM, Finley EP
Incorporating patient-reported outcomes into shared decision-making in the management of patients with osteoarthritis of the knee: a hybrid effectiveness-implementation study protocol.
This article describes a US-based 2-year, two-site hybrid type 1 study to assess clinical effectiveness and implementation of a machine learning-based patient decision aid integrating patient-reported outcomes and clinical variables to support shared decision-making for patients with knee osteoarthritis considering total knee replacement. Study results will be disseminated through conference presentations, publications and professional societies.
AHRQ-funded; HS027037.
Citation: Lin E, Uhler LM, Finley EP .
Incorporating patient-reported outcomes into shared decision-making in the management of patients with osteoarthritis of the knee: a hybrid effectiveness-implementation study protocol.
BMJ Open 2022 Feb 21;12(2):e055933. doi: 10.1136/bmjopen-2021-055933..
Keywords: Clinical Decision Support (CDS), Decision Making, Arthritis, Patient-Centered Outcomes Research, Orthopedics, Health Information Technology (HIT), Evidence-Based Practice
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), Decision Making, Health Information Technology (HIT)
Reese TJ, Del Fiol G, Morgan K
A shared decision-making tool for drug interactions between warfarin and nonsteroidal anti-inflammatory drugs: design and usability study.
Exposure to life-threatening drug-drug interactions (DDIs) occurs despite the widespread use of clinical decision support. The DDI between warfarin and nonsteroidal anti-inflammatory drugs is common and potentially life-threatening. Patients can play a substantial role in preventing harm from DDIs; however, the current model for DDI decision-making is clinician centric. This study aimed to design and examine the usability of DDInteract, a tool to support shared decision-making (SDM) between a patient and provider for the DDI between warfarin and nonsteroidal anti-inflammatory drugs.
AHRQ-funded; HS026198.
Citation: Reese TJ, Del Fiol G, Morgan K .
A shared decision-making tool for drug interactions between warfarin and nonsteroidal anti-inflammatory drugs: design and usability study.
JMIR Hum Factors 2021 Oct 26;8(4):e28618. doi: 10.2196/28618..
Keywords: Blood Thinners, Medication: Safety, Medication, Clinical Decision Support (CDS), Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Adverse Drug Events (ADE), Adverse Events, Patient Safety
Dutta S, McEvoy DS, Stump T
Clinical decision support reduces unnecessary tetanus vaccinations in the emergency department.
The authors implemented a clinical decision support alert in the electronic health record that warned providers when ordering a tetanus vaccine if a prior one had been given within 10 years and studied its efficacy to reduce potentially unnecessary vaccines in the ED. They found that a clinical decision support alert that warns ED clinicians that a patient may have an up-to-date tetanus vaccination status reduced potentially unnecessary vaccinations.
AHRQ-funded; HS027170.
Citation: Dutta S, McEvoy DS, Stump T .
Clinical decision support reduces unnecessary tetanus vaccinations in the emergency department.
Ann Emerg Med 2021 Sep;78(3):370-80. doi: 10.1016/j.annemergmed.2021.02.021..
Keywords: Clinical Decision Support (CDS), Decision Making, Vaccination, Health Information Technology (HIT)
Dorr DA, D'Autremont C, Pizzimenti C
Assessing data adequacy for high blood pressure clinical decision support: a quantitative analysis.
This study examined guideline-based high blood pressure (HBP) and hypertension recommendations and evaluated the suitability and adequacy of the data and logic required for a Fast Healthcare Interoperable Resources-based, patient-facing clinical decision support HBP application. Findings showed that data quality from the electronic health record required to implement recommendations for HBP was highly inconsistent, reflecting a fragmented health care system and incomplete implementation of standard terminologies and workflows. Although imperfect, data were deemed adequate for two test use cases.
AHRQ-funded; HS026849.
Citation: Dorr DA, D'Autremont C, Pizzimenti C .
Assessing data adequacy for high blood pressure clinical decision support: a quantitative analysis.
Appl Clin Inform 2021 Aug;12(4):710-20. doi: 10.1055/s-0041-1732401..
Keywords: Blood Pressure, Clinical Decision Support (CDS), Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), 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), Decision Making, Health Information Technology (HIT), Brain Injury, Guidelines, Evidence-Based Practice, Imaging
Shi Y, Amill-Rosario A, Rudin RS
Barriers to using clinical decision support in ambulatory care: do clinics in health systems fare better?
In this study, the investigators quantified the use of clinical decision support (CDS) and the specific barriers reported by ambulatory clinics and examined whether CDS utilization and barriers differed based on clinics' affiliation with health systems, providing a benchmark for future empirical research and policies related to this topic.
AHRQ-funded; HS024067.
Citation: Shi Y, Amill-Rosario A, Rudin RS .
Barriers to using clinical decision support in ambulatory care: do clinics in health systems fare better?
J Am Med Inform Assoc 2021 Jul 30;28(8):1667-75. doi: 10.1093/jamia/ocab064..
Keywords: Clinical Decision Support (CDS), Decision Making, Ambulatory Care and Surgery, Health Information Technology (HIT), Health Systems
Campbell NL, Holden RJ, Tang Q
Multicomponent behavioral intervention to reduce exposure to anticholinergics in primary care older adults.
This study tested the effectiveness of a multicomponent behavioral intervention to reduce the use of high-risk anticholinergic medications in primary care older adults. Ten primary care clinics within Eskenazi Health in Indianapolis were selected to test the intervention. The intervention included provider- and patient-focused components. The provider-focused component was a computerized decision support system alerting the presence of a high-risk anticholinergic and offering dose- and indication-specific alternatives; while the patient-focused component was a story-based video providing education and modeling an interaction with a healthcare provider. The intervention occurred from April 2019 through March 2020. A total of 552 older adults had primary care visits during the study period. Only 3 out of 259 provider-focused alerts led to a medication change. Of the 276 staff alerts, 4.7% were confirmed to activate the patient-focused intervention.
AHRQ-funded; P30HS024384.
Citation: Campbell NL, Holden RJ, Tang Q .
Multicomponent behavioral intervention to reduce exposure to anticholinergics in primary care older adults.
J Am Geriatr Soc 2021 Jun;69(6):1490-99. doi: 10.1111/jgs.17121..
Keywords: Elderly, Medication, Primary Care, Clinical Decision Support (CDS), Decision Making
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, Decision Making
Ridgway JP, Robicsek A, Shah N
A randomized controlled trial of an electronic clinical decision support tool for inpatient antimicrobial stewardship.
The weighted incidence syndromic combination antibiogram (WISCA) is an antimicrobial stewardship tool that utilizes electronic medical record data to provide real-time clinical decision support regarding empiric antibiotic prescription in the hospital setting. The aim of this study was to determine the impact of WISCA utilization for empiric antibiotic prescription on hospital length of stay (LOS).
AHRQ-funded; HS022283.
Citation: Ridgway JP, Robicsek A, Shah N .
A randomized controlled trial of an electronic clinical decision support tool for inpatient antimicrobial stewardship.
Clin Infect Dis 2021 May 4;72(9):e265-e71. doi: 10.1093/cid/ciaa1048..
Keywords: Antimicrobial Stewardship, Antibiotics, Medication, Clinical Decision Support (CDS), Decision Making, Health Information Technology (HIT)
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), Decision Making, Healthcare-Associated Infections (HAIs), Diagnostic Safety and Quality