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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
1126 to 1150 of 1425 Research Studies DisplayedGarfield CF, Lee YS, Kim HN
Supporting parents of premature infants transitioning from the NICU to home: a pilot randomized control trial of a smartphone application.
This study determined whether parents of Very Low Birth Weight (VLBW) infants in the Neonatal Intensive Care Unit (NICU) transitioning home with the NICU-2-Home smartphone application have greater parenting self-efficacy, are better prepared for discharge and have shorter length of stay (LOS) than control parents. It found that a smartphone application can improve parenting self-efficacy, discharge preparedness, and LOS with improved benefits based on usage.
AHRQ-funded; HS020316.
Citation: Garfield CF, Lee YS, Kim HN .
Supporting parents of premature infants transitioning from the NICU to home: a pilot randomized control trial of a smartphone application.
Internet Interv 2016 May;4(Pt 2):131-37. doi: 10.1016/j.invent.2016.05.004.
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Keywords: Newborns/Infants, Neonatal Intensive Care Unit (NICU), Health Information Technology (HIT), Home Healthcare, Hospital Discharge
Johnson KB, Patterson BL, Ho YX
The feasibility of text reminders to improve medication adherence in adolescents with asthma.
The goal of this study was to assess the impact of MyMediHealth (MMH) - a website and a short messaging service (SMS)-based reminder system - on medication adherence and perceived self-efficacy in adolescents with asthma. The investigators found that MMH was associated with improved medication adherence, perceived quality of life, and self-efficacy.
AHRQ-funded; HS018168.
Citation: Johnson KB, Patterson BL, Ho YX .
The feasibility of text reminders to improve medication adherence in adolescents with asthma.
J Am Med Inform Assoc 2016 May;23(3):449-55. doi: 10.1093/jamia/ocv158..
Keywords: Asthma, Children/Adolescents, Health Information Technology (HIT), Medication, Patient Adherence/Compliance
Gidengil CA, Linder JA, Beach S
Using clinical vignettes to assess quality of care for acute respiratory infections.
Overprescribing of antibiotics for acute respiratory infections (ARIs) is common. The objective of this study was to develop and validate a vignette-based method to estimate clinician ARI antibiotic prescribing. The researchers concluded that responses to 3 clinical vignettes can identify clinicians with relatively poor quality ARI antibiotic prescribing. Vignettes may be a mechanism to target clinicians for quality improvement efforts.
AHRQ-funded; HS018419.
Citation: Gidengil CA, Linder JA, Beach S .
Using clinical vignettes to assess quality of care for acute respiratory infections.
Inquiry 2016 Apr 20;53:pii: 0046958016636531. doi: 10.1177/0046958016636531..
Keywords: Antibiotics, Antimicrobial Stewardship, Electronic Health Records (EHRs), Health Information Technology (HIT), Health Services Research (HSR), Medication, Practice Patterns, Primary Care, Quality of Care, Respiratory Conditions
Tilson H, Hines LE, McEvoy G
AHRQ Author: Helwig AL
Recommendations for selecting drug-drug interactions for clinical decision support.
A work group consisting of 20 experts in pharmacology, drug information, and clinical decision support (CDS) from academia, government agencies, health information vendors, and healthcare organizations was convened. It recommended a transparent, systematic, and evidence-driven process with graded recommendations by a consensus panel of experts and oversight by a national organization.
AHRQ-authored.
Citation: Tilson H, Hines LE, McEvoy G .
Recommendations for selecting drug-drug interactions for clinical decision support.
Am J Health Syst Pharm 2016 Apr 15;73(8):576-85. doi: 10.2146/ajhp150565.
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Keywords: Clinical Decision Support (CDS), Adverse Drug Events (ADE), Medication: Safety, Medication, Health Information Technology (HIT)
Donovan JL, Kanaan AO, Gurwitz JH
A pilot health information technology-based effort to increase the quality of transitions from skilled nursing facility to home: compelling evidence of high rate of adverse outcomes.
The authors investigated whether or not patients transferred from skilled nursing facilities to home may be at risk for adverse outcomes. They tracked rehospitalization within 30 days after discharge and adverse drug events within 45 days. They concluded that older adults discharged from skilled nursing facilities are at high risk of adverse outcomes immediately following discharge.
AHRQ-funded; HS017817.
Citation: Donovan JL, Kanaan AO, Gurwitz JH .
A pilot health information technology-based effort to increase the quality of transitions from skilled nursing facility to home: compelling evidence of high rate of adverse outcomes.
J Am Med Dir Assoc 2016 Apr;17(4):312-7. doi: 10.1016/j.jamda.2015.11.008.
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Keywords: Health Information Technology (HIT), Transitions of Care, Adverse Events, Elderly, Hospital Readmissions
Chen W, Wheeler KK, Lin S
Computerized "Learn-As-You-Go" classification of traumatic brain injuries using NEISS narrative data.
This study evaluated a "Learn-As-You-Go" machine-learning program. When using this program, the user trains classification models and interactively checks on accuracy until a desired threshold is reached. It found that the time frame to classify tens of thousands of narratives was reduced from a few days to minutes after approximately sixty minutes of training.
AHRQ-funded; HS022277.
Citation: Chen W, Wheeler KK, Lin S .
Computerized "Learn-As-You-Go" classification of traumatic brain injuries using NEISS narrative data.
Accid Anal Prev 2016 Apr;89:111-7. doi: 10.1016/j.aap.2016.01.012.
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Keywords: Brain Injury, Health Information Technology (HIT)
Taslimitehrani V, Dong G, Pereira NL
Developing EHR-driven heart failure risk prediction models using CPXR(Log) with the probabilistic loss function.
The authors proposed to apply a classification algorithm, Contrast Pattern Aided Logistic Regression (CPXR(Log)) with the probabilistic loss function, to develop and validate prognostic risk models to predict 1, 2, and 5 year survival in heart failure (HF). They found that the new loss function used in the algorithm outperforms other functions used in previous studies and that HF is a highly heterogeneous disease (different subgroups of patients require different types of considerations with their diagnosis and treatment). They concluded that logistic risk models often make systematic prediction errors and that it is prudent to use subgroup based prediction models such as those given by CPXR(Log) when investigating heterogeneous diseases.
AHRQ-funded; HS023077.
Citation: Taslimitehrani V, Dong G, Pereira NL .
Developing EHR-driven heart failure risk prediction models using CPXR(Log) with the probabilistic loss function.
J Biomed Inform 2016 Apr;60:260-9. doi: 10.1016/j.jbi.2016.01.009.
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Keywords: Electronic Health Records (EHRs), Heart Disease and Health, Health Information Technology (HIT), Risk
Kayle M, Brennan-Cook J, Carter BM
Evaluation of a sickle cell disease educational website for emergency providers.
Electronic surveys were used to conduct a formal evaluation of the accuracy and relevance of the website's content, as well as the effectiveness of the education modules in improving knowledge among health care providers. Both sickle cell disease experts and ED providers agreed that the module content was clear and easy to understand, accurate, comprehensive, relevant, and met module objectives.
AHRQ-funded; HS019646.
Citation: Kayle M, Brennan-Cook J, Carter BM .
Evaluation of a sickle cell disease educational website for emergency providers.
Adv Emerg Nurs J 2016 Apr-Jun;38(2):123-32. doi: 10.1097/tme.0000000000000099.
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Keywords: Education: Continuing Medical Education, Emergency Department, Health Information Technology (HIT), Provider, Sickle Cell Disease
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
Plasek JM, Goss FR, Lai KH
Food entries in a large allergy data repository.
This study examined, encoded, and grouped foods that caused any adverse sensitivity in a large allergy repository using natural language processing and standard terminologies. It identified 158,552 food allergen records (2,140 unique terms) in the Partners repository, corresponding to 672 food allergen concepts. High-frequency groups included shellfish (19.3 percent), fruits or vegetables (18.4 percent), dairy (9.0 percent), and peanuts (8.5 percent).
AHRQ-funded; HS022728.
Citation: Plasek JM, Goss FR, Lai KH .
Food entries in a large allergy data repository.
J Am Med Inform Assoc 2016 Apr;23(e1):e79-87. doi: 10.1093/jamia/ocv128.
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Keywords: Data, Health Information Technology (HIT), Electronic Health Records (EHRs), Patient Safety
Hassol A, Deitz D, Goldberg H
Health information exchange: perspectives from home healthcare.
Home health agencies (HHAs) often lack the timely and accurate patient information that they require for transition planning. The authors argue that health information exchanges (HIEs) offer information that supports timely visit scheduling, safe and appropriate care planning, coding and documentation, and HHA efficiency.
AHRQ-funded; HS018865.
Citation: Hassol A, Deitz D, Goldberg H .
Health information exchange: perspectives from home healthcare.
Comput Inform Nurs 2016 Apr;34(4):145-50. doi: 10.1097/cin.0000000000000240.
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Keywords: Health Information Exchange (HIE), Health Information Technology (HIT), Home Healthcare
Cohen GR, Adler-Milstein J
Meaningful use care coordination criteria: perceived barriers and benefits among primary care providers.
This systematic review of studies of laser treatment of infantile hemangioma concluded that the studies primarily addressed different laser modalities compared with observation or other laser modalities. Pulsed dye laser was the most commonly studied laser type, but multiple variations in treatment protocols did not allow for demonstration of superiority of a single method.
AHRQ-funded; HS022674.
Citation: Cohen GR, Adler-Milstein J .
Meaningful use care coordination criteria: perceived barriers and benefits among primary care providers.
J Am Med Inform Assoc 2016 Apr;23(e1):e146-51. doi: 10.1093/jamia/ocv147.
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Keywords: Primary Care, Care Coordination, Electronic Health Records (EHRs), Health Information Technology (HIT)
Singh H, Sittig DF
Measuring and improving patient safety through health information technology: the Health IT Safety Framework.
The authors propose a new framework, the Health IT Safety (HITS) measurement framework, to provide a conceptual foundation for health IT-related patient safety measurement, monitoring, and improvement. The HITS framework follows both Continuous Quality Improvement (CQI) and sociotechnical approaches and calls for new measures and measurement activities to address safety concerns. A long term framework goal is to enable rigorous measurement that helps achieve the safety benefits of health IT in real-world clinical settings.
AHRQ-funded; HS022087.
Citation: Singh H, Sittig DF .
Measuring and improving patient safety through health information technology: the Health IT Safety Framework.
BMJ Qual Saf 2016 Apr;25(4):226-32. doi: 10.1136/bmjqs-2015-004486.
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Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Health Information Technology (HIT), Patient Safety, Quality Measures
Murphy DR, Meyer AN, Russo E
The burden of inbox notifications in commercial electronic health records.
The researchers quantified the notifications that physicians received via inboxes of commercial EHRs to estimate their burden. They found that across 3 sites, 46 primary care physicians received a mean of 76.9 total notifications per day; of which a mean of 15.5 notifications per day (20.2 percent) were related to test results.
AHRQ-funded; HS022087.
Citation: Murphy DR, Meyer AN, Russo E .
The burden of inbox notifications in commercial electronic health records.
JAMA Intern Med 2016 Apr;176(4):559-60. doi: 10.1001/jamainternmed.2016.0209..
Keywords: Communication, Electronic Health Records (EHRs), Health Information Technology (HIT), Primary Care
Liu S, Wu Y, Wooten HO
Methods to model and predict the ViewRay treatment deliveries to aid patient scheduling and treatment planning.
A software tool is developed to predict treatment delivery time for radiation therapy (RT) treatments of patients on ViewRay magnetic resonance image-guided radiation therapy (MR-IGRT) delivery system. This tool is necessary for managing patient treatment scheduling in a clinic. After modeling and quantitative analysis, the researchers proposed an algorithm that is able to predict the ViewRay treatment delivery time with the average prediction error 0.22min or 1.82 percent.
AHRQ-funded; HS022888.
Citation: Liu S, Wu Y, Wooten HO .
Methods to model and predict the ViewRay treatment deliveries to aid patient scheduling and treatment planning.
J Appl Clin Med Phys 2016 Mar 8;17(2):5907.
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Keywords: Cancer, Health Information Technology (HIT), Imaging
Wong AF, Pielmeier U, Haug PJ
An in silico method to identify computer-based protocols worthy of clinical study: an insulin infusion protocol use case.
In this paper, the authors compared two existing computer-based insulin infusion protocols: eProtocol-insulin from Utah, USA, and Glucosafe from Denmark. They concluded that preclinical in silico comparison analytical framework allows rapid and inexpensive identification of computer-based protocol care strategies that justify expensive and burdensome clinical trials.
AHRQ-funded; HS006594.
Citation: Wong AF, Pielmeier U, Haug PJ .
An in silico method to identify computer-based protocols worthy of clinical study: an insulin infusion protocol use case.
J Am Med Inform Assoc 2016 Mar;23(2):283-8. doi: 10.1093/jamia/ocv067.
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Keywords: Health Information Technology (HIT), Medication, Research Methodologies
Topaz M, Lai K, Dhopeshwarkar N
Clinicians' reports in electronic health records versus patients' concerns in social media: A pilot study of adverse drug reactions of aspirin and atorvastatin.
The study’s objective was to compare electronic health record data and social media data to better understand differences and similarities between clinician-reported adverse drug reactions (ADRs) and patients' concerns regarding aspirin and atorvastatin. It found that the most frequently reported ADRs matched the most frequent patients' concerns. However, several less frequently reported reactions were more prevalent on social media (i.e., aspirin-induced hypoglycemia was discussed only on social media).
AHRQ-funded; HS022728.
Citation: Topaz M, Lai K, Dhopeshwarkar N .
Clinicians' reports in electronic health records versus patients' concerns in social media: A pilot study of adverse drug reactions of aspirin and atorvastatin.
Drug Saf 2016 Mar;39(3):241-50. doi: 10.1007/s40264-015-0381-x..
Keywords: Electronic Health Records (EHRs), Social Media, Health Information Technology (HIT), Adverse Drug Events (ADE), Patient Safety
Masterson Creber R, Prey J, Ryan B
Engaging hospitalized patients in clinical care: study protocol for a pragmatic randomized controlled trial.
The purpose of this paper is to describe the protocol for a study to assess how patients' information needs during hospitalization can be addressed with health information technologies using a personalized inpatient portal. The study is designed to test whether the portal will improve patient engagement.
AHRQ-funded; HS021816.
Citation: Masterson Creber R, Prey J, Ryan B .
Engaging hospitalized patients in clinical care: study protocol for a pragmatic randomized controlled trial.
Contemp Clin Trials 2016 Mar;47:165-71. doi: 10.1016/j.cct.2016.01.005.
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Keywords: Health Information Technology (HIT), Hospitalization, Inpatient Care, Patient and Family Engagement, Web-Based
Wiley LK, Tarczy-Hornoch P, Denny JC
Harnessing next-generation informatics for personalizing medicine: a report from AMIA's 2014 health policy invitational meeting.
The American Medical Informatics Association convened the 2014 Health Policy Invitational Meeting to develop recommendations for updates to current policies and to establish an informatics research agenda for personalizing medicine. In particular, the meeting focused on discussing informatics challenges related to personalizing care through the integration of genomic or other high-volume biomolecular data with data from clinical systems to make health care more efficient and effective.
AHRQ-funded; HS021825.
Citation: Wiley LK, Tarczy-Hornoch P, Denny JC .
Harnessing next-generation informatics for personalizing medicine: a report from AMIA's 2014 health policy invitational meeting.
J Am Med Inform Assoc 2016 Mar;23(2):413-9. doi: 10.1093/jamia/ocv111.
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Keywords: Health Information Technology (HIT), Policy, Research Methodologies
Shah MN, Wasserman EB, Wang H
High-intensity telemedicine decreases emergency department use by senior living community residents.
The authors evaluated the effect on emergency departrment use of a high-intensity telemedicine program that provides acute illness care for senior living community (SLC) residents. They found that high-intensity telemedicine significantly reduced emergency department use among SLC residents without increasing other utilization or mortality.
AHRQ-funded; HS018047.
Citation: Shah MN, Wasserman EB, Wang H .
High-intensity telemedicine decreases emergency department use by senior living community residents.
Telemed J E Health 2016 Mar;22(3):251-8. doi: 10.1089/tmj.2015.0103.
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Keywords: Elderly, Telehealth, Health Information Technology (HIT), Emergency Department, Healthcare Utilization, Long-Term Care
Barnett ML, Mehrotra A, Frolkis JP
Implementation science workshop: implementation of an electronic referral system in a large academic medical center.
This study evaluates an electronic referral ordering system designed and implemented in order to address problems with timeliness, specialist access and communication. Evaluation metrics tracked physician satisfaction across the health system and used administrative claims to observe the impact of eReferrals on total specialist utilization. The adoption of this system led to improvements in satisfaction and an increase in new specialist visits per patient.
AHRQ-funded; HS022087.
Citation: Barnett ML, Mehrotra A, Frolkis JP .
Implementation science workshop: implementation of an electronic referral system in a large academic medical center.
J Gen Intern Med 2016 Mar;31(3):343-52. doi: 10.1007/s11606-015-3516-y.
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Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare Delivery
Taylor RA, Pare JR, Venkatesh AK
Prediction of in-hospital mortality in emergency department patients with sepsis: A local big data-driven, machine learning approach.
In this proof-of-concept study, a local, big data-driven, machine learning approach is compared to existing clinical decision rules (CDRs) and traditional analytic methods using the prediction of sepsis in-hospital mortality as the use case. It concluded that this approach outperformed existing CDRs as well as traditional analytic techniques for predicting in-hospital mortality of ED patients with sepsis.
AHRQ-funded; HS021271.
Citation: Taylor RA, Pare JR, Venkatesh AK .
Prediction of in-hospital mortality in emergency department patients with sepsis: A local big data-driven, machine learning approach.
Acad Emerg Med 2016 Mar;23(3):269-78. doi: 10.1111/acem.12876.
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Keywords: Emergency Medical Services (EMS), Mortality, Clinical Decision Support (CDS), Sepsis, Health Information Technology (HIT)
Wang SV, Verpillat P, Rassen JA
Transparency and reproducibility of observational cohort studies using large healthcare databases.
The researchers explored the extent to which published pharmacoepidemiologic studies using commercially available databases could be reproduced by other investigators. Based on a nonsystematic sample of 38 descriptive or comparative safety/effectiveness cohort studies, they concludedc that an essential component of transparent and reproducible databases is more complete reporting of study implementation.
AHRQ-funded; HS022193.
Citation: Wang SV, Verpillat P, Rassen JA .
Transparency and reproducibility of observational cohort studies using large healthcare databases.
Clin Pharmacol Ther 2016 Mar;99(3):325-32. doi: 10.1002/cpt.329..
Keywords: Health Information Technology (HIT), Data, Research Methodologies, Comparative Effectiveness
Dixon BE, Whipple EC, Lajiness JM
Utilizing an integrated infrastructure for outcomes research: a systematic review.
The authors explored the ability of an integrated health information infrastructure to support outcomes research. They found that more recent publications demonstrate growing external collaborations facilitated by greater access to the infrastructure and improved opportunities to study broader disease and health outcomes. They concluded that integrated information infrastructures can stimulate learning from electronic data captured during routine clinical care but require time and collaboration to reach full potential.
AHRQ-funded; HS020909.
Citation: Dixon BE, Whipple EC, Lajiness JM .
Utilizing an integrated infrastructure for outcomes research: a systematic review.
Health Info Libr J 2016 Mar;33(1):7-32. doi: 10.1111/hir.12127.
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Keywords: Health Information Technology (HIT), Outcomes, Research Methodologies, Evidence-Based Practice
Hsu D, Brieva J, Nardone B
Validation of database search strategies for the epidemiological study of pemphigus and pemphigoid.
The authors hypothesized that the assigned ICD-9-CM codes of 694.4 (pemphigus) and 694.5 (pemphigoid) would demonstrate a high predictive value for the confirmed diagnosis of their respective diseases. Their results did not support the hypothesis that a single ICD-9-CM code for pemphigus and pemphigoid is sufficient to identify these disorders in largescale epidemiological studies.
AHRQ-funded; HS023011.
Citation: Hsu D, Brieva J, Nardone B .
Validation of database search strategies for the epidemiological study of pemphigus and pemphigoid.
Br J Dermatol 2016 Mar;174(3):645-8. doi: 10.1111/bjd.14172.
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Keywords: Data, Electronic Health Records (EHRs), Health Information Technology (HIT)