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AHRQ Research Studies Date
Topics
- Asthma (1)
- Children/Adolescents (3)
- Clinical Decision Support (CDS) (5)
- Communication (1)
- Comparative Effectiveness (1)
- (-) Decision Making (14)
- Diabetes (1)
- Education: Patient and Caregiver (2)
- Electronic Health Records (EHRs) (5)
- Genetics (2)
- Guidelines (1)
- Health Information Exchange (HIE) (1)
- (-) Health Information Technology (HIT) (14)
- Imaging (1)
- Medication (2)
- Outcomes (1)
- Patient Safety (1)
- Practice Patterns (1)
- Pregnancy (1)
- Primary Care (2)
- Quality of Care (1)
- Social Determinants of Health (1)
- Transplantation (1)
- Web-Based (2)
- Women (1)
- Workflow (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 14 of 14 Research Studies DisplayedWright A, Sittig DF, Ash JS
Lessons learned from implementing service-oriented clinical decision support at four sites: a qualitative study.
This study identified challenges, lessons learned and best practices for service-oriented clinical decision support, based on the results of the Clinical Decision Support Consortium, a multi-site study which developed, implemented and evaluated clinical decision support services in a diverse range of electronic health records. Based on the challenges and lessons learned, there were eight best practices for developers and implementers of service-oriented clinical decision support.
AHRQ-funded; 290200810010.
Citation: Wright A, Sittig DF, Ash JS .
Lessons learned from implementing service-oriented clinical decision support at four sites: a qualitative study.
Int J Med Inform 2015 Nov;84(11):901-11. doi: 10.1016/j.ijmedinf.2015.08.008.
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Keywords: Clinical Decision Support (CDS), Electronic Health Records (EHRs), Decision Making, Health Information Technology (HIT)
Fumo DE, Kapoor V, Reece LJ
Historical matching strategies in kidney paired donation: the 7-year evolution of a web-based virtual matching system.
Failure to convert computer-identified possible kidney paired donation (KPD) exchanges into transplants has prohibited KPD from reaching its full potential. This study analyzes the progress of exchanges in moving from "offers" to completed transplants. The "offer" and 1-way success rates were 21.9 and 15.5 percent, respectively. Three reasons for failure were found that could be prospectively prevented by changes in protocol or software.
AHRQ-funded; HS020610.
Citation: Fumo DE, Kapoor V, Reece LJ .
Historical matching strategies in kidney paired donation: the 7-year evolution of a web-based virtual matching system.
Am J Transplant 2015 Oct;15(10):2646-54. doi: 10.1111/ajt.13337.
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Keywords: Health Information Technology (HIT), Transplantation, Decision Making, Clinical Decision Support (CDS)
Shorten A, Fagerlin A, Illuzzi J
Developing an Internet-based decision aid for women choosing between vaginal birth after cesarean and planned repeat cesarean.
This article is part of a series that address midwifery innovations in clinical practice, education, interprofessional collaboration, health policy, and global health. The authors outlined a framework and process used to create an Internet-based decision aid about birth choices after previous cesarean. They transformed a paper-based decision aid into a secure, interactive Web site to meet the diverse needs of women and providers.
AHRQ-funded; HS022114.
Citation: Shorten A, Fagerlin A, Illuzzi J .
Developing an Internet-based decision aid for women choosing between vaginal birth after cesarean and planned repeat cesarean.
J Midwifery Womens Health 2015 Jul-Aug;60(4):390-400. doi: 10.1111/jmwh.12298.
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Keywords: Decision Making, Health Information Technology (HIT), Pregnancy, Web-Based, Women
Fiks AG, Mayne SL, Karavite DJ
Parent-reported outcomes of a shared decision-making portal in asthma: a practice-based RCT.
This study evaluated the feasibility, acceptability, and impact of MyAsthma, an EHR-linked patient portal supporting shared decision-making for pediatric asthma. It found that parents of children with moderate to severe persistent asthma used the portal more than others; 92 percent were satisfied with MyAsthma. Parents reported that use improved their communication with the office, ability to manage asthma, and awareness of the importance of ongoing attention to treatment.
AHRQ-funded; HS021645.
Citation: Fiks AG, Mayne SL, Karavite DJ .
Parent-reported outcomes of a shared decision-making portal in asthma: a practice-based RCT.
Pediatrics 2015 Apr;135(4):e965-73. doi: 10.1542/peds.2014-3167..
Keywords: Asthma, Children/Adolescents, Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT)
Burgess JF, Jones EA, Morgan JR
Capsule commentary on Tannenbaum et al., nudging physician prescription decisions by partitioning the order set: results of a vignette-based study.
Users of computerized provider order entry (CPOE)s employ a variety of “shortcuts” to increase efficiency and reduce search costs. The authors comment on a study suggesting that new ordering could be a shortcut for signaling which choices are “common or appropriate”. They argue that future research on inappropriate use should grapple directly with when and why providers employ shortcuts.
AHRQ-funded; HS022242.
Citation: Burgess JF, Jones EA, Morgan JR .
Capsule commentary on Tannenbaum et al., nudging physician prescription decisions by partitioning the order set: results of a vignette-based study.
J Gen Intern Med 2015 Mar;30(3):343. doi: 10.1007/s11606-014-3095-3..
Keywords: Health Information Technology (HIT), Decision Making, Medication
Samwald M, Minarro Gimenez JA, Boyce RD
Pharmacogenomic knowledge representation, reasoning and genome-based clinical decision support based on OWL 2 DL ontologies.
The authors developed Web Ontology Language (OWL) ontologies and automated reasoning methodologies to meet various goals such as providing a simple and concise formalism for representing pharmacogenomic knowledge. Their ontology-based framework can be used to represent, organize and reason over the growing wealth of pharmacogenomic knowledge, as well as to identify errors, inconsistencies and insufficient definitions in source data sets or individual patient data.
AHRQ-funded; HS019461.
Citation: Samwald M, Minarro Gimenez JA, Boyce RD .
Pharmacogenomic knowledge representation, reasoning and genome-based clinical decision support based on OWL 2 DL ontologies.
BMC Med Inform Decis Mak 2015 Feb 22;15:12. doi: 10.1186/s12911-015-0130-1..
Keywords: Comparative Effectiveness, Health Information Technology (HIT), Decision Making, Medication, Genetics
Butler KA, Mercer E, Bahrami A
Model checking for verification of interactive health IT systems.
The authors proposed to formalize the relationship between HIT and the conceptual work that increasingly typifies modern care. They demonstrated the method on a patient contact system to show that model checking is effective for interactive systems and that much of it can be automated.
AHRQ-funded; HS021233.
Citation: Butler KA, Mercer E, Bahrami A .
Model checking for verification of interactive health IT systems.
AMIA Annu Symp Proc 2015;2015:349-58.
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Keywords: Decision Making, Health Information Technology (HIT), Health Information Technology (HIT), Patient Safety, Workflow
Heisler M, Choi H, Palmisano G
Comparison of community health worker-led diabetes medication decision-making support for low-income Latino and African American adults with diabetes using e-health tools versus print materials: a randomized, controlled trial.
This study compared outcomes between community health worker (CHW) use of a tailored, interactive, Web-based, tablet computer-delivered tool specifically developed for the study and use of printed educational materials. In a population of low-income Latino and African American adults with diabetes and relatively low levels of formal education, participants in both CHW-led interventions reported mostly similar improvements in outcomes over 3 months.
AHRQ-funded; HS019256
Citation: Heisler M, Choi H, Palmisano G .
Comparison of community health worker-led diabetes medication decision-making support for low-income Latino and African American adults with diabetes using e-health tools versus print materials: a randomized, controlled trial.
Ann Intern Med. 2014 Nov 18;161(10 Suppl):S13-22. doi: 10.7326/m13-3012..
Keywords: Health Information Technology (HIT), Diabetes, Decision Making, Outcomes, Social Determinants of Health
Lacson R, Prevedello LM, Andriole KP
Four-year impact of an alert notification system on closed-loop communication of critical test results.
The authors evaluated the impact of an alert notification system on policy adherence for communicating critical imaging test results to referring providers and assessed system adoption over the first 4 years after implementation. They concluded that an automated alert notification system for communicating critical imaging results was successfully adopted and was associated with increased adherence to institutional policy for communicating critical test results and with reduced workflow interruptions.
AHRQ-funded; HS019635.
Citation: Lacson R, Prevedello LM, Andriole KP .
Four-year impact of an alert notification system on closed-loop communication of critical test results.
AJR Am J Roentgenol 2014 Nov;203(5):933-8. doi: 10.2214/ajr.14.13064.
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Keywords: Communication, Decision Making, Guidelines, Health Information Technology (HIT), Imaging
Welch BM, Eilbeck K, Del Fiol G
Technical desiderata for the integration of genomic data with clinical decision support.
The objective of this study is to develop and validate a guiding set of technical desiderata for supporting the clinical use of the whole genome sequence (WGS) through clinical decision support (CDS). A panel of domain experts in genomics and CDS developed a proposed set of seven additional requirements. These additional desiderata provide important guiding principles for the technical development of CDS capabilities for the clinical use of WGS information.
AHRQ-funded; HS018352.
Citation: Welch BM, Eilbeck K, Del Fiol G .
Technical desiderata for the integration of genomic data with clinical decision support.
J Biomed Inform 2014 Oct;51:3-7. doi: 10.1016/j.jbi.2014.05.014..
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Genetics, Electronic Health Records (EHRs), Decision Making
Longo DR, Woolf HS
Rethinking the information priorities of patients.
Efforts have intensified to provide consumers with online data tools and consumer reports that offer profiles and statistics for evaluating specialists, hospitals, and other clinical facilities. In this article, the authors examine two key questions: what should these resources look like and do patients really want them?
AHRQ-funded; HS021902
Citation: Longo DR, Woolf HS .
Rethinking the information priorities of patients.
JAMA. 2014 May 14;311(18):1857-8. doi: 10.1001/jama.2014.3038..
Keywords: Education: Patient and Caregiver, Decision Making, Quality of Care, Health Information Technology (HIT), Web-Based
Del Fiol G, Workman TE, Gorman PN
Clinical questions raised by clinicians at the point of care: a systematic review.
The researchers conducted a systematic review of studies examining the questions that clinicians raise in the context of patient care decisionmaking. They concluded that clinicians frequently raise questions about patient care in their practice. Although they are effective at finding answers to questions they pursue, roughly half of the questions are never pursued.
AHRQ-funded; HS018352.
Citation: Del Fiol G, Workman TE, Gorman PN .
Clinical questions raised by clinicians at the point of care: a systematic review.
JAMA Intern Med. 2014 May;174(5):710-8. doi: 10.1001/jamainternmed.2014.368..
Keywords: Education: Patient and Caregiver, Decision Making, Health Information Exchange (HIE), Health Information Technology (HIT), Practice Patterns
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