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Impact of Home Care Admission Nurses' Goals on Electronic Health Record Documentation Strategies at the Point of Care

Overview of attention for article published in Computers, informatics, nursing, January 2019
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  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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5 X users
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1 Facebook page

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100 Mendeley
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Article details
Title
Impact of Home Care Admission Nurses' Goals on Electronic Health Record Documentation Strategies at the Point of Care
Published in
Computers, informatics, nursing, January 2019
DOI 10.1097/cin.0000000000000468
Pubmed ID
Authors
Abstract

Home care nurses have multiple goals at the patient admission visit. Electronic health records support some of these goals, including high-quality documentation, but nurses may not complete the electronic documentation at the point of care. To characterize admission nurses' practices at the point of care and lay the foundation for design recommendations, this study investigates admission nurses' documentation strategies with respect to entering electronic data and how nursing goals affect them. We conducted 10 observations of home care agency admissions with five admission nurses in rural Pennsylvania. We collected screenshots and recorded the admission process. We asked the nurses questions outside the point of care. We coded the nurses' strategies at the data-entry screen level. Using thematic analysis, we investigated the influence of nursing goals on documentation strategies. Subject matter experts reviewed our findings. Several goals affect nurses' documentation strategies: ensure data accuracy, reduce time in the patient's home, and prevent infection. Home care admission nurses distribute the electronic documentation temporally due to their goals. Nurses developed memory aids to support completion of the documentation after leaving the patients' homes. Design and training should support the distributed manner in which home care nurses document patient encounters.This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 100 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 10 10%
Student > Bachelor 6 6%
Student > Ph. D. Student 6 6%
Student > Doctoral Student 4 4%
Researcher 4 4%
Other 18 18%
Unknown 52 52%
Readers by discipline
Readers by discipline Count As %
Nursing and Health Professions 18 18%
Medicine and Dentistry 5 5%
Biochemistry, Genetics and Molecular Biology 3 3%
Computer Science 3 3%
Engineering 3 3%
Other 15 15%
Unknown 53 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 January 2021.
All research outputs
#21,715,251
of 34,526,284 outputs
Outputs from Computers, informatics, nursing
#313
of 1,722 outputs
Outputs of similar age
#281,638
of 488,088 outputs
Outputs of similar age from Computers, informatics, nursing
#7
of 30 outputs
Altmetric has tracked 34,526,284 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,722 research outputs from this source. They receive a mean Attention Score of 1.9. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 488,088 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.