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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.
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1 to 5 of 5 Research Studies DisplayedSockolow PS, Yang Y, Bass EJ
Data visualization of home care admission nurses' decision-making.
This study investigated nurses’ decision making regarding hospital to home care admissions. They conducted a focus group case study with six admitting home health nurses at a rural agency in Pennsylvania and analyzed the data using thematic analysis.
AHRQ-funded; HS024537.
Citation: Sockolow PS, Yang Y, Bass EJ .
Data visualization of home care admission nurses' decision-making.
AMIA Annu Symp Proc 2018 Apr 16;2017:1597-606..
Keywords: Data, Decision Making, Home Healthcare, Nursing, Transitions of Care
Keenan GM, Lopez KD, Sousa VEC
A shovel-ready solution to fill the nursing data gap in the interdisciplinary clinical picture.
The purpose of this study was to critically evaluate the 2014 American Academy of Nursing (AAN) call-to-action plan for generating interoperable nursing data. The authors of the article present recommendations for revisions to AAN's plan as well as an evidence-based alternative to generating interoperable nursing data in the near term.
AHRQ-funded; HS015054.
Citation: Keenan GM, Lopez KD, Sousa VEC .
A shovel-ready solution to fill the nursing data gap in the interdisciplinary clinical picture.
Int J Nurs Knowl 2018 Jan;29(1):49-58. doi: 10.1111/2047-3095.12168..
Keywords: Data, Evidence-Based Practice, Nursing
Bakken S, Reame N
http://www.ingentaconnect.com/content/springer/arnr/2016/00000034/00000001/art00013
The promise and potential perils of big data for advancing symptom management research in populations at risk for health disparities.
The purposes of this chapter are to (a) briefly summarize the current drivers for the use of big data in research; (b) describe the promise of big data and associated data science methods for advancing symptom management research; and (c) explicate the potential perils of big data and data science from the perspective of the ethical principles of autonomy, beneficence, and justice.
AHRQ-funded; HS022961
Citation: Bakken S, Reame N .
The promise and potential perils of big data for advancing symptom management research in populations at risk for health disparities.
Annu Rev Nurs Res 2016;34:247-60. doi: 10.1891/0739-6686.34.247..
Keywords: Data, Disparities, Nursing, Patient-Centered Outcomes Research
Price LE, Shea K, Gephart S
The Veterans Affairs's Corporate Data Warehouse: uses and implications for nursing research and practice.
This article described the developments in research associated with the VHA's transition into the world of Big Data analytics through Corporate Data Warehouse (CDW) utilization. The authors found that the most commonly-occurring research topics are pharmacy/medications, systems issues, and weight management/obesity. They concluded that, despite the potential benefit of data mining techniques to improve patient care and services, the CDW and alternative analytical approaches are underutilized by researchers and clinicians.
AHRQ-funded; HS022908.
Citation: Price LE, Shea K, Gephart S .
The Veterans Affairs's Corporate Data Warehouse: uses and implications for nursing research and practice.
Nurs Adm Q 2015 Oct-Dec;39(4):311-8. doi: 10.1097/naq.0000000000000118.
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Keywords: Data, Electronic Health Records (EHRs), Health Information Technology (HIT), Nursing
Brennan PF, Bakken S
Nursing needs big data and big data needs nursing.
Nursing science and nursing practice has much to gain from the data science initiatives. Existing approaches to large data set analysis provide a necessary but not sufficient foundation for nursing to participate in the big data revolution. Nursing’s Social Policy Statement provides a principled, ethical perspective on big data and data science.
AHRQ-funded; HS022961; HS02254.
Citation: Brennan PF, Bakken S .
Nursing needs big data and big data needs nursing.
J Nurs Scholarsh 2015 Sep;47(5):477-84. doi: 10.1111/jnu.12159..
Keywords: Nursing, Data, Health Information Technology (HIT)