National Healthcare Quality and Disparities Report
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Topics
- Asthma (1)
- Autism (2)
- Behavioral Health (1)
- Blood Pressure (1)
- Brain Injury (4)
- Care Management (1)
- (-) Children/Adolescents (24)
- (-) Clinical Decision Support (CDS) (24)
- Decision Making (9)
- Depression (1)
- Diagnostic Safety and Quality (2)
- Ear Infections (1)
- Electronic Health Records (EHRs) (4)
- Emergency Department (1)
- Emergency Medical Services (EMS) (1)
- Evidence-Based Practice (4)
- Guidelines (1)
- Healthcare-Associated Infections (HAIs) (1)
- Healthcare Delivery (1)
- Health Information Technology (HIT) (18)
- Hospital Discharge (1)
- Hospitalization (1)
- Hospitals (1)
- Imaging (1)
- Implementation (1)
- Influenza (1)
- Intensive Care Unit (ICU) (1)
- Obesity (2)
- Obesity: Weight Management (1)
- Outcomes (1)
- Patient-Centered Outcomes Research (2)
- Patient Safety (1)
- Practice Patterns (2)
- Primary Care (6)
- Quality Improvement (1)
- Quality of Care (1)
- Racial and Ethnic Minorities (1)
- Respiratory Conditions (1)
- Rural/Inner-City Residents (1)
- Rural Health (1)
- Screening (2)
- 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 24 of 24 Research Studies DisplayedBenziger CP, Suess M, Allen CI
Adapting a clinical decision support system to improve identification of pediatric hypertension in a rural health system: design of a pragmatic trial.
This paper’s objective is to describe the protocol for a study that will adapt an electronic health record linked, web-based clinical decision support (CDS) tool called PedsBP that identifies hypertension (HTN) in children for use in a mostly rural health system and to evaluate the effectiveness of PedsBP for repeat of hypertensive level blood pressure (BP) measurements and HTN recognition among youth 6-17 years of age in primary care settings, comparing low-intensity and high-intensity implementation approaches. A pilot of the tool was conducted in 2 primary care clinics and modified prior to the full trial. Forty community-based primary care clinics (or clusters of clinics) were randomly allocated equally to usual care, low-intensity implementation (CDS only), or high-intensity implementation (CDS plus in-person training, monthly use reports, and ongoing communication between study staff and clinics). Eligible patient recruitment started on August 1, 2022 and will continue for 18 months. Primary outcomes will include repeating hypertensive level BP measurements at office visits and clinical recognition of HTN. Secondary outcomes will include lifestyle counseling, dietician referral, and BP at follow-up.
AHRQ-funded; HS027402.
Citation: Benziger CP, Suess M, Allen CI .
Adapting a clinical decision support system to improve identification of pediatric hypertension in a rural health system: design of a pragmatic trial.
Contemp Clin Trials 2023 Sep; 132:107293. doi: 10.1016/j.cct.2023.107293..
Keywords: Clinical Decision Support (CDS), Children/Adolescents, Rural Health, Rural/Inner-City Residents, Blood Pressure
Krishnan JA, Margellos-Anast H, Kumar R
Coordinated Health Care Interventions for Childhood Asthma Gaps in Outcomes (CHICAGO) plan.
The purpose of this clinical trial was to compare an emergency-department- (ED) only intervention and home visits by community health workers for 6 months (ED-plus-home) and enhanced usual care (UC). The study enrolled children aged 5 to 11 years with uncontrolled asthma. The primary outcomes were change over 6 months in the Patient-Reported Outcomes Measurement Information System Asthma Impact Scale score in children and Satisfaction with Participation in Social Roles score in caregivers. The secondary outcomes included guideline-recommended ED discharge care and self-management. The study found that of the 373 children recruited, only 63% completed the 6-month follow-up visit. Differences in Asthma Impact Scores or caregivers' Satisfaction with Participation in Social Roles scores were not significant. However, in the intervention groups guideline-recommended ED discharge care improved significantly versus in the UC group, and self-management behaviors were significantly improved in the ED-plus-home group versus in the ED-only and UC groups.
AHRQ-funded; HS027804.
Citation: Krishnan JA, Margellos-Anast H, Kumar R .
Coordinated Health Care Interventions for Childhood Asthma Gaps in Outcomes (CHICAGO) plan.
J Allergy Clin Immunol Glob 2023 Aug; 2(3). doi: 10.1016/j.jacig.2023.100100..
Keywords: Children/Adolescents, Asthma, Respiratory Conditions, Outcomes, Patient-Centered Outcomes Research, Evidence-Based Practice, Emergency Department, Clinical Decision Support (CDS), Health Information Technology (HIT), Racial and Ethnic Minorities
Rizk S, Kaelin VC, Sim JGC
Implementing an electronic patient-reported outcome and decision support tool in early intervention.
The study’s aim was to identify and prioritize early intervention (EI) stakeholders' perspectives of supports and barriers to implementing the Young Children's Participation and Environment Measure (YC-PEM), an electronic patient-reported outcome (e-PRO) tool, for scaling its implementation across multiple local and state EI programs. A mixed-methods study was conducted with EI families (n = 6), service coordinators (n = 9), and program leadership (n = 7). Semi-structured interviews and focus groups were conducted and used to share quantitative trial results. All three stakeholder groups identified thematic supports and barriers across multiple constructs within each of four Consolidated Framework for Implementation Research (CFIR) domains: (1) Six themes for "intervention characteristics," (2) Six themes for "process," (3) Three themes for "inner setting," and (4) Four themes for "outer setting." Priorities from stakeholders included prioritized reaching families with diverse linguistic preferences and user navigation needs, further tailoring its interface with automated data capture and exchange processes ("process"); and fostering a positive implementation climate ("inner setting"). Improving EI access (“outer setting”) using YC-PEM e-PRO results was also articulated by service coordinators and program leadership.
AHRQ-funded; HS027583.
Citation: Rizk S, Kaelin VC, Sim JGC .
Implementing an electronic patient-reported outcome and decision support tool in early intervention.
Appl Clin Inform 2023 Jan; 14(1):91-107. doi: 10.1055/s-0042-1760631..
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Children/Adolescents, Evidence-Based Practice, Patient-Centered Outcomes Research, Implementation
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.
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), 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), 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, 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), Decision Making, Healthcare-Associated Infections (HAIs), Diagnostic Safety and Quality
Downs SM, Bauer NS, Saha C
Effect of a computer-based decision support intervention on autism spectrum disorder screening in pediatric primary care clinics: a cluster randomized clinical trial.
This study examined outcomes for implementation of a decision support system called CHICA (Child Health Improvement Through Computer Automation) to improve screening rates for autism in children aged 18 to 24 months. A random sample of 274 children in four urban clinics was used. Two clinics participated in the intervention, and two served as controls. Because participating clinics requested intervention be discontinued for children aged 18 months, only results for those aged 24 months was analyzed. Of the 263 children with reviewed results, 92% were enrolled in Medicaid, 52.5% were African American, and 36.5% were Hispanic. Screening rates increased from 0% at baseline to 100% in 24 months during the study period of November 2010 to November 2012. Screening results were positive for 265 of 980 children screened by CHICA in the time period, with 2 children from the intervention group positively diagnosed in the time frame of the study.
AHRQ-funded; HS018453.
Citation: Downs SM, Bauer NS, Saha C .
Effect of a computer-based decision support intervention on autism spectrum disorder screening in pediatric primary care clinics: a cluster randomized clinical trial.
JAMA Netw Open 2019 Dec 2;2(12):e1917676. doi: 10.1001/jamanetworkopen.2019.17676..
Keywords: Autism, Clinical Decision Support (CDS), Decision Making, Health Information Technology (HIT), Primary Care, Children/Adolescents, Screening
Anand V, Carroll AE, Biondich PG
Pediatric decision support using adapted Arden Syntax.
This study reviewed the use of a medical logic module (MLM) called the Arden Syntax in pediatrics. The Arden Syntax was adapted for the Child Health Improvement through Computer Automation System (CHICA) in waiting rooms. This system is used in pediatrician’s offices to screen patient families and alert physicians during office visits. It has been used in 7 pediatric clinics and has served over 44,000 patients in the last decade. The researchers concluded that it is an effective system for use in routine care and only needs some minor modifications.
AHRQ-funded; HS017939; HS018453.
Citation: Anand V, Carroll AE, Biondich PG .
Pediatric decision support using adapted Arden Syntax.
Artif Intell Med 2018 Nov;92:15-23. doi: 10.1016/j.artmed.2015.09.006..
Keywords: Children/Adolescents, Clinical Decision Support (CDS), Health Information Technology (HIT)
Etter DJ, McCord A, Ouyang F
Suicide screening in primary care: use of an electronic screener to assess suicidality and improve provider follow-up for adolescents.
The purpose of this study was to assess the feasibility of using an existing computer decision support system to screen adolescent patients for suicidality and provide follow-up guidance to clinicians in a primary care setting. The authors concluded that incorporating adolescent suicide screening and provider follow-up guidance into an existing computer decision support system in primary care was feasible and well utilized by providers.
AHRQ-funded; HS022681.
Citation: Etter DJ, McCord A, Ouyang F .
Suicide screening in primary care: use of an electronic screener to assess suicidality and improve provider follow-up for adolescents.
J Adolesc Health 2018 Feb;62(2):191-97. doi: 10.1016/j.jadohealth.2017.08.026..
Keywords: Children/Adolescents, Clinical Decision Support (CDS), Decision Making, Depression, Behavioral Health, Primary Care, Screening
Bonafide CP, Roland D, Brady PW
Rapid response systems 20 years later: new approaches, old challenges.
In this article, the authors propose a set of recommendations for a research agenda aimed at pursuing the work of optimizing the identification of deteriorating children. They recommend that the second generation of pediatric rapid response systems continue to build on past achievements while further optimizing use of the data, tools, and people available at the bedside to take the next leap forward.
AHRQ-funded; HS023827.
Citation: Bonafide CP, Roland D, Brady PW .
Rapid response systems 20 years later: new approaches, old challenges.
JAMA Pediatr 2016 Aug;170(8):729-30. doi: 10.1001/jamapediatrics.2016.0398.
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Keywords: Children/Adolescents, Clinical Decision Support (CDS), Decision Making, Emergency Medical Services (EMS), Hospitals
Forster CS, Jerardi KE, Herbst L
Right test, wrong patient: biomarkers and value.
A 2-year-old girl with Pierre Robin sequence, a gastric tube, and a tracheostomy and ventilator was admitted to the hospital medicine service. The care delivered to this patient was not unsafe, and she did well. However, the value of care was almost certainly suboptimal. The continued emphasis on a single laboratory value (the procalcitonin test) rather than her clinical picture was the true driver behind the lower value of care delivered to this patient.
AHRQ-funded; HS023827.
Citation: Forster CS, Jerardi KE, Herbst L .
Right test, wrong patient: biomarkers and value.
Hosp Pediatr 2016 May;6(5):315-7. doi: 10.1542/hpeds.2015-0199.
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Keywords: Quality of Care, Children/Adolescents, Hospitalization, Clinical Decision Support (CDS), Healthcare Delivery
Bauer NS, Carroll AE, Saha C
Experience with decision support system and comfort with topic predict clinicians' responses to alerts and reminders.
The researchers examined factors associated with clinician response to computer decision support system (CDSS) prompts as part of a larger, ongoing quality improvement effort to optimize CDSS use. They found that clinicians were more likely to respond to topics rated as "easy" to discuss. The position of the prompt on the page, clinician gender, and the patient's age, race/ethnicity, and preferred language were also predictive of prompt response rate.
AHRQ-funded; HS017939; HS020640; HS022681.
Citation: Bauer NS, Carroll AE, Saha C .
Experience with decision support system and comfort with topic predict clinicians' responses to alerts and reminders.
J Am Med Inform Assoc 2016 Apr;23(e1):e125-30. doi: 10.1093/jamia/ocv148.
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Keywords: Clinical Decision Support (CDS), Patient Safety, Children/Adolescents, Health Information Technology (HIT), Children/Adolescents
Dugan TM, Mukhopadhyay S, Carroll A
Machine learning techniques for prediction of early childhood obesity.
This study aimed to predict childhood obesity after age two, using only data collected prior to the second birthday by a clinical decision support system called CHICA. It demonstrated that data from a production clinical decision support system can be used to build an accurate machine learning model to predict obesity in children after age two.
AHRQ-funded; HS020640; HS018453; HS017939.
Citation: Dugan TM, Mukhopadhyay S, Carroll A .
Machine learning techniques for prediction of early childhood obesity.
Appl Clin Inform 2015 Aug 12;6(3):506-20. doi: 10.4338/aci-2015-03-ra-0036.
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Keywords: Children/Adolescents, Obesity, Health Information Technology (HIT), Clinical Decision Support (CDS), Children/Adolescents
Bauer NS, Carroll AE, Saha C
Computer decision support changes physician practice but not knowledge regarding autism spectrum disorders.
This study examined whether adding an autism module promoting adherence to clinical guidelines to an existing computer decision support system (CDSS) changed physician knowledge and self-reported clinical practice. It found that a CDSS module to improve primary care management of ASD in pediatric practice led to significant improvements in physician-reported use of validated screening tools to screen for ASDs.
AHRQ-funded; HS018453.
Citation: Bauer NS, Carroll AE, Saha C .
Computer decision support changes physician practice but not knowledge regarding autism spectrum disorders.
Appl Clin Inform 2015;6(3):454-65. doi: 10.4338/aci-2014-09-ra-0084.
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Keywords: Health Information Technology (HIT), Practice Patterns, Clinical Decision Support (CDS), Children/Adolescents, Autism
Fiks AG, Zhang P, Localio AR
Adoption of electronic medical record-based decision support for otitis media in children.
The authors characterized adoption of an otitis media clinical decision support (CDS) system, the impact of performance feedback on adoption, and the effects of adoption on guideline adherence. The performance feedback increased CDS adoption, but additional strategies are needed to integrate CDS into primary care workflows.
AHRQ-funded; HS017042
Citation: Fiks AG, Zhang P, Localio AR .
Adoption of electronic medical record-based decision support for otitis media in children.
Health Serv Res. 2015 Apr;50(2):489-513. doi: 10.1111/1475-6773.12240..
Keywords: Children/Adolescents, Clinical Decision Support (CDS), Ear Infections, Electronic Health Records (EHRs), Health Information Technology (HIT)
Hendrix KS, Downs SM, Carroll AE
Pediatricians' responses to printed clinical reminders: does highlighting prompts improve responsiveness?
The authors tested whether selectively highlighting clinical decision support prompts in yellow would improve physicians' responsiveness. They found that highlighting reminder prompts did not increase physicians' responsiveness. They suggested possible explanations and offer alternative strategies to increasing physician responsiveness to prompts.
AHRQ-funded; HS020640; HS018453; HS017939.
Citation: Hendrix KS, Downs SM, Carroll AE .
Pediatricians' responses to printed clinical reminders: does highlighting prompts improve responsiveness?
Acad Pediatr 2015 Mar-Apr;15(2):158-64. doi: 10.1016/j.acap.2014.10.009.
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Keywords: Clinical Decision Support (CDS), Children/Adolescents, Primary Care, Practice Patterns, Quality Improvement
Shaikh U, Berrong J, Nettiksimmons J
Impact of electronic health record clinical decision support on the management of pediatric obesity.
The investigators assessed the impact of electronic health record-based clinical decision support in improving the diagnosis and management of pediatric obesity. They found a statistically significant increase in the diagnosis of overweight/obesity, scheduling of follow-up appointments, frequency of ordering recommended laboratory investigations, and assessment and counseling for nutrition and physical activity.
AHRQ-funded; HS018567.
Citation: Shaikh U, Berrong J, Nettiksimmons J .
Impact of electronic health record clinical decision support on the management of pediatric obesity.
Am J Med Qual 2015 Jan-Feb;30(1):72-80. doi: 10.1177/1062860613517926.
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Keywords: Care Management, Children/Adolescents, Clinical Decision Support (CDS), Diagnostic Safety and Quality, Electronic Health Records (EHRs), Health Information Technology (HIT), Obesity, Obesity: Weight Management
Gilbert AL, Downs SM
Medical legal partnership and health informatics impacting child health: interprofessional innovations.
This article describes the interprofessional nature of the Medical Legal Partnership ( MLP) model itself, illustrates the work that was done to craft this innovative health informatics approach to implementing MLP, and demonstrates how pediatricians social workers and attorneys may work together to improve child health outcomes.
AHRQ-funded; HS020640.
Citation: Gilbert AL, Downs SM .
Medical legal partnership and health informatics impacting child health: interprofessional innovations.
J Interprof Care 2015;29(6):564-9. doi: 10.3109/13561820.2015.1029066..
Keywords: Health Information Technology (HIT), Children/Adolescents, Clinical Decision Support (CDS)
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), 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), Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Primary Care