ArticleComputers, informatics, nursing : CIN2016
Connecting Professional Practice and Technology at the Bedside: Nurses' Beliefs about Using an Electronic Health Record and Their Ability to Incorporate Professional and Patient-Centered Nursing Activities in Patient Care.
Article in Computers, informatics, nursing : CIN, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of the impact of health information technology on nurses' time.Journal of the American Medical Informatics Association : JAMIA · 2020Pooled it
- Caring for Patients and Technological Competency in the Use of the Electronic Nursing Record System: A Qualitative Study.Healthcare (Basel, Switzerland) · 2025Article
- Generative AI-Based Nursing Diagnosis and Documentation Recommendation Using Virtual Patient Electronic Nursing Record Data.Healthcare informatics research · 2025Article
- Psychometric Testing of the Slovene Version of the Perceived Inventory of Technological Competency as Caring in Nursing.Healthcare (Basel, Switzerland) · 2024Article
- An integrative review exploring the impact of Electronic Health Records (EHR) on the quality of nurse-patient interactions and communication.Journal of advanced nursing · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this research is to determine the effects of implementing an electronic health record on medical-surgical registered nurses' time spent in direct professional patient-centered nursing activities, attitudes and beliefs related to implementation, and changes in level of nursing engagement after deployment of the electronic health record. Patient-centered activities were categorized using Watson's Caritas Processes and the Relationship-Based Care Delivery System. Methods included use of an Attitudes and Beliefs Assessment Questionnaire, Nursing Engagement Questionnaire, and Rapid Modeling Corporation's personal digital assistants for time and motion data collection. There was a significant difference in normative belief between nurses with less than 15 years' experience and nurses with more than 15 years' experience (t21 = 2.7, P = .01). While nurses spent less time at the nurses' station, less time charting, significantly more time in patients' rooms and in purposeful interactions, time spent in relationship-based caring behavior categories actually decreased in most categories. Nurses' engagement scores did not significantly increase. These results serve to inform healthcare organizations about potential factors related to electronic health record deployment which create shifts in nursing time spent across care categories and can be used to explore further patient centered care practices.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.