ArticleHealth services research2019
Evaluating the use of multiteam systems to manage the complexity of inpatient falls in rural hospitals.
Article in Health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
7 citing papers in PubMed.
- Editorial: Information sharing in multiteam systems operating in risky and uncertain environments.Frontiers in psychology · 2022Article
- Strategies for Improving Access to Cancer Services in Rural Communities: A Pre-implementation Study.Frontiers in health services · 2022Article
- Evaluation of Automated Video Monitoring to Decrease the Risk of Unattended Bed Exits in Small Rural Hospitals.Journal of patient safety · 2021Article
- Functional Leadership in Interteam Contexts: Understanding 'What' in the Context of Why? Where? When? and Who?The leadership quarterly · 2020Article
- Patient and system factors associated with unassisted and injurious falls in hospitals: an observational study.BMC geriatrics · 2019Observational
- Evaluating the use of multiteam systems to manage the complexity of inpatient falls in rural hospitals.Health services research · 2019Article
- The impact of post-fall huddles on repeat fall rates and perceptions of safety culture: a quasi-experimental evaluation of a patient safety demonstration project.BMC health services research · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
objectiveTo evaluate the implementation and outcomes of evidence-based fall-risk-reduction processes when those processes are implemented using a multiteam system (MTS) structure. DATA SOURCES/STUDY
settingFall-risk-reduction process and outcome measures from 16 small rural hospitals participating in a research demonstration and dissemination study from August 2012 to July 2014. Previously, these hospitals lacked a fall-event reporting system to drive improvement. STUDY
designA one-group pretest-posttest embedded in a participatory research framework. We required hospitals to implement MTSs, which we supported by conducting education, developing an online toolkit, and establishing a fall-event reporting system. DATA COLLECTION: Hospitals used gap analyses to assess the presence of fall-risk-reduction processes at study beginning and their frequency and effectiveness at study end; they reported fall-event data throughout the study. PRINCIPAL
findingsThe extent to which hospitals implemented 21 processes to coordinate the fall-risk-reduction program and trained staff specifically about the program predicted unassisted and injurious fall rates during the end-of-study period (January 2014-July 2014). Bedside fall-risk-reduction processes were not significant predictors of these outcomes.
conclusionsMultiteam systems that effectively coordinate fall-risk-reduction processes may improve the capacity of hospitals to manage the complex patient, environmental, and system factors that result in falls.
Indexed as
Identifiers
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.