ArticleThe Journal of nursing administration2020
Fall Prevention Decision Making of Acute Care Registered Nurses.
Article in The Journal of nursing administration, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06339125 (Predictive Analytics Combined With Computer Visualization Enhances Patient Safety and Eases Nurse Burden for Preventing Falls), which is not on this map. Cited by 9 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.
Predictive Analytics Combined With Computer Visualization Enhances Patient Safety and Eases Nurse Burden for Preventing Falls
Who cites it
9 citing papers in PubMed.
- Mobilisation Alarm Use in Hospitals and Alignment With Person-Centred Practice: A Qualitative Study.Journal of advanced nursing · 2026Article
- Selecting and tailoring implementation strategies for deimplementing fall prevention alarms in US hospitals: a group concept mapping study.BMJ quality & safety · 2026Article
- Implementation of a multifactorial fall intervention model to guide hospital nurses: A quasi-experimental before-and-after study.Scientific reports · 2026Article
- Nurse-led fall prevention programs in acute care settings: An integrative review.International journal of nursing studies advances · 2025Review
- The knowledge, attitude, and practice toward fall prevention of parturients in the obstetric inpatient wards: a comparative cross-sectional study between nurses and parturients.Frontiers in public health · 2025Article
- Alarm with care-a de-implementation strategy to reduce fall prevention alarm use in US hospitals: a study protocol for a hybrid 2 effectiveness-implementation trial.Implementation science : IS · 2023Article
- Article
- Falls as the result of interplay between nurses, patient and the environment: Using text-mining to uncover how and why falls happen.International journal of nursing sciences · 2023Article
- Patient-level and organizational-level factors influencing in-hospital falls.Journal of advanced nursing · 2022Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
objectiveThe aim of this study was to examine acute care registered nurses' (RNs') fall prevention decision-making.
backgroundThe RN decision-making process related to fall prevention needs to be investigated to ensure that hospital policies align with nursing workflow and support nursing judgment.
methodsQualitative semistructured interviews based on the Critical Decision Method were conducted with RNs about their planning and decision making during their last 12-hour shift worked.
resultsData saturation was achieved with 12 RNs. Nine themes emerged related to the RN decision-making process and included hospital-level (eg, fear of discipline), unit-level (eg, value of bed alarm technology), and nurse-level (eg, professional judgment) factors that could influence fall prevention.
conclusionsNursing administrators should consider a multilevel approach to fall prevention policies that includes promoting a practice environment that embraces self-reporting adverse events without fear of shame or being reprimanded, evaluating unit-level practice and technology acceptance and usability, and supporting autonomous nursing practice.
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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.