ArticleApplied clinical informatics2017
A Qualitative Exploration of Nurses' Information-Gathering Behaviors Prior to Decision Support Tool Design.
Article in Applied clinical informatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed.
- Recalibrating identity and adapting roles: ageing at work among senior nurses in Saudi Arabia.BMC nursing · 2026Article
- The impact of inpatient medication administration technologies on nursing autonomy and practice: a meta-ethnographic synthesis of the qualitative literature.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Clinical Impact of an Analytic Tool for Predicting the Fall Risk in Inpatients: Controlled Interrupted Time Series.JMIR medical informatics · 2021Article
- Nurse Perspectives on Prone Positioning for ARDS Patient in the ICU: A Qualitative Phenomenological Study of Facilitator and Barrier.SAGE open nursingArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundLarge and readily-available clinical datasets combined with improved computational resources have permitted the exploration of many new research and clinical questions. Predictive analytics, especially for adverse events, has surfaced as one promising application of big data, and although statistical results can be highly accurate, little is known about how nurses perceive this new information and how they might act upon it.
objectivesWithin the context of recognizing patients at risk for cardiopulmonary arrest, this study explored the possibility of incorporating predictive analytics into clinical workflows by identifying nurses' current information gathering activities and perceptions of probability-related terms.
methodsWe used a qualitative description approach for data collection and analysis in order to understand participants' information gathering behaviors and term perceptions in their own words. We conducted one-on-one interviews and a focus group with a total of 10 direct care bedside nurses and 8 charge nurses.
resultsParticipants collected information from many sources that we categorized as: Patient, Other People, and Technology. The process by which they gathered information was conducted in an inconsistent order and differed by role. Major themes comprised: (a) attempts to find information from additional sources during uncertainty, (b) always being prepared for the worst-case scenario, and (c) the desire to review more detailed predictions. Use of the words probability, risk, and uncertainty were inconsistent.
conclusionsIn an effort to successfully incorporate predictive analytics into clinical workflows, we have described nurses' perceived work practices for gathering information related to clinical deterioration and nurses' beliefs related to probability-based information. Findings from our study could guide design and implementation efforts of predictive analytics in the clinical arena.Jeffery AD, Kennedy B, Dietrich MS, Mion LC, Novak LL. A Qualitative Exploration of Nurses' Information-Gathering Behaviors Prior to Decision Support Tool Design. Appl Clin Inform 2017; 8: 763-778 https://doi.org/10.4338/ACI-2017-02-RA-0033.
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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.