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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 4 of 4 Research Studies DisplayedJeffery AD
Data science for nurses.
This “Practice Matters” article discusses how nurses can apply data science methods to improve nurses’ insight into care delivery. Data science in nursing is defined and the data science process is described in five steps: capture, maintain, process, analyze, and communicate. A table is included which highlights several recently published studies that leveraged data science methods in nursing-relevant projects. The article ends with a call to action.
AHRQ-funded; HS026395.
Citation: Jeffery AD .
Data science for nurses.
Am Nurse 2022 May; 17(5)..
Keywords: Provider: Nurse, Electronic Health Records (EHRs), Health Information Technology (HIT)
Gaughan AA, Walker DM, Sova LN
Improving provisioning of an inpatient portal: perspectives from nursing staff.
This study’s aim was to identify and describe practices important for provisioning an inpatient portal from the perspectives of nursing staff and provide insight to enable hospitals to address challenges related to provisioning workflow for the inpatient portal accessible on a tablet. Qualitative interviews were conducted at 26 inpatient units in six hospitals within The Ohio State University Wexner Medical Center (OSUWMC) with 210 nursing staff members following the introduction of tablets providing access to an inpatient portal, MyChart Bedside (MCB). Provisioning rates were divided into tertiles to create three levels of provisioning performance. Higher-performing units showed three critical strategies that contributed to MCB tablet provisioning success: (1) establishing a feasible process for MCB provisioning; (2) having persistent unit-level MCB tablet champions; and (3) having unit managers actively promote MCB tablets.
AHRQ-funded; HS024767; HS024091; HS024379.
Citation: Gaughan AA, Walker DM, Sova LN .
Improving provisioning of an inpatient portal: perspectives from nursing staff.
Appl Clin Inform 2022 Mar;13(2):355-62. doi: 10.1055/s-0042-1743561..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Provider: Nurse
Ancker JS, Edwards A, Nosal S
Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system.
In this study, the investigators tested hypotheses arising from two possible alert fatigue mechanisms: (A) cognitive overload associated with amount of work, complexity of work, and effort distinguishing informative from uninformative alerts, and (B) desensitization from repeated exposure to the same alert over time. The investigators found that clinicians became less likely to accept alerts as they received more of them, particularly more repeated alerts. There was no evidence of an effect of workload per se, or of desensitization over time for a newly deployed alert.
AHRQ-funded; HS021531.
Citation: Ancker JS, Edwards A, Nosal S .
Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system.
BMC Med Inform Decis Mak 2017 Apr 10;17(1):1-9. doi: 10.1186/s12911-017-0430-8..
Keywords: Clinical Decision Support (CDS), Shared Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety, Provider, Provider: Nurse, Provider: Physician
Gerber DE, Beg MS, Duncan T
Oncology nursing perceptions of patient electronic portal use: a qualitative analysis.
The purpose of this study was to identify nursing staff reactions to and perceptions of electronic portal use in a cancer setting. Two focus groups were conducted and theoretical thematic content analysis of data was performed. The investigators concluded that nursing staff reactions to electronic portals were predominantly related to the impact on clinical workload and patient safety and expectations.
AHRQ-funded; HS022418.
Citation: Gerber DE, Beg MS, Duncan T .
Oncology nursing perceptions of patient electronic portal use: a qualitative analysis.
Oncol Nurs Forum 2017 Mar 1;44(2):165-70. doi: 10.1188/17.Onf.165-170..
Keywords: Cancer, Electronic Health Records (EHRs), Health Information Technology (HIT), Provider, Provider: Nurse