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Search All Research Studies
AHRQ Research Studies Date
Topics
- Clinician-Patient Communication (1)
- Comparative Effectiveness (1)
- Data (2)
- Electronic Health Records (EHRs) (2)
- Evidence-Based Practice (1)
- Genetics (1)
- (-) Health Information Technology (HIT) (9)
- Health Services Research (HSR) (1)
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- (-) Research Methodologies (9)
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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 9 of 9 Research Studies DisplayedSockolow P, Dowding D, Randell R
Using mixed methods in health information technology evaluation.
The authors illustrated some of the benefits and challenges of using mixed methods in evaluation. The diversity of the informatics scholars' research experience provides a broad overview of approaches in combining robust analysis of outcome data with qualitative methods that provide an understanding of the processes through which, and the contexts in which, those outcomes are achieved.
AHRQ-funded; HS021008.
Citation: Sockolow P, Dowding D, Randell R .
Using mixed methods in health information technology evaluation.
Stud Health Technol Inform 2016;225:83-7.
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Keywords: Health Information Technology (HIT), Health Services Research (HSR), Research Methodologies
Liu Y, Chen Y, Scheet P
A meta-analytic framework for detection of genetic interactions.
The researchers propose a new procedure for detecting gene-by-gene interactions through heterogeneity in estimated low-order (e.g., marginal) effect sizes by leveraging population structure, or ancestral differences, among studies in which the same phenotypes were measured. They implement this approach in a meta-analytic framework, which offers numerous advantages, such as robustness and computational efficiency, and is necessary when data-sharing limitations restrict joint analysis.
AHRQ-funded; HS022900.
Citation: Liu Y, Chen Y, Scheet P .
A meta-analytic framework for detection of genetic interactions.
Genet Epidemiol 2016 Nov;40(7):534-43. doi: 10.1002/gepi.21996.
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Keywords: Genetics, Research Methodologies, Health Information Technology (HIT)
Cato KD, Bockting W, Larson E
Did I tell you that? Ethical issues related to using computational methods to discover non-disclosed patient characteristics.
Using the Belmont Report's principles of respect for persons, beneficence, and justice as a framework, the authors examined the ethical issues posed by electronic phenotyping. Ethical issues identified include the ability of the patient to consent for the use of their information, the ability to suppress pediatric information, and ensuring that the potential benefits justify the risks of harm to patients.
AHRQ-funded; HS022961.
Citation: Cato KD, Bockting W, Larson E .
Did I tell you that? Ethical issues related to using computational methods to discover non-disclosed patient characteristics.
J Empir Res Hum Res Ethics 2016 Jul;11(3):214-9. doi: 10.1177/1556264616661611.
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Keywords: Clinician-Patient Communication, Data, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient-Centered Outcomes Research, Registries, Research Methodologies
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
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
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
Valdez RS, Guterbock TM, Thompson MJ
Beyond traditional advertisements: leveraging Facebook's social structures for research recruitment.
This study aimed to develop and assess the feasibility, benefits, and challenges of recruiting for research studies related to consumer health information technology (IT) by leveraging the social structures embedded in the social networking platform, Facebook. It demonstrated that leveraging the social structures of Facebook for health-related research was feasible for obtaining small samples appropriate for qualitative research but not for obtaining large samples needed for quantitative research.
AHRQ-funded; HS022930.
Citation: Valdez RS, Guterbock TM, Thompson MJ .
Beyond traditional advertisements: leveraging Facebook's social structures for research recruitment.
J Med Internet Res 2014 Oct 27;16(10):e243. doi: 10.2196/jmir.3786..
Keywords: Health Information Technology (HIT), Social Media, Research Methodologies
Keenan GM, Wilkie DJ
Integration of NNN into EHRS: how are we doing?: IJNK virtual issue.
This commentary introduces a virtual edition of IJNK, hosted on the Journal’s website. It includes six articles published in the last 20 years that provide a snapshot of efforts to integrate one or more of the standardized terminologies, NANDA-I, NOC, NIC (NNN), into electronic health records (EHRs).
AHRQ-funded; HS015054.
Citation: Keenan GM, Wilkie DJ .
Integration of NNN into EHRS: how are we doing?: IJNK virtual issue.
Int J Nurs Knowl 2014 Jun;25(2):68-9. doi: 10.1111/2047-3095.12039..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Research Methodologies