Evidence map›Paper›PMID 31500609›Full record

ArticleBMC health services research2019

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.

Katherine J Jones, John Crowe, Joseph A Allen, Anne M Skinner, Robin High, Victoria Kennel, Roni Reiter-Palmon

Open access · goldAbstract read
In one paragraph

Article in BMC 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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.8field-weighted citation impact, top 10% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Observational
  3. Use of the measurement tools of TeamSTEPPSBMC medical education · 2025
    Article
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  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Katherine J JonesCollege of Allied Health Professions, University of Nebraska Medical Center, 984420 Nebraska Medical Center, Omaha, NE, 68198-4420, USA. kjonesj@unmc.edu.ORCID http://orcid.org/0000-0002-0613-3168
John CroweDepartment of Psychology, University of Nebraska at Omaha, 6001 Dodge Street, Omaha, NE, 68182-0274, USA.
Joseph A AllenDepartment of Psychology, University of Nebraska at Omaha, 6001 Dodge Street, Omaha, NE, 68182-0274, USA.
Anne M SkinnerCollege of Allied Health Professions, University of Nebraska Medical Center, 984420 Nebraska Medical Center, Omaha, NE, 68198-4420, USA.
Robin HighCollege of Public Health, University of Nebraska Medical Center, 984375 Nebraska Medical Center, Omaha, NE, 68198-4375, USA.
Victoria KennelCollege of Allied Health Professions, University of Nebraska Medical Center, 984420 Nebraska Medical Center, Omaha, NE, 68198-4420, USA.
Roni Reiter-PalmonDepartment of Psychology, University of Nebraska at Omaha, 6001 Dodge Street, Omaha, NE, 68182-0274, USA.
Nebraska Medical Center · USUniversity of Nebraska at Omaha · US

Funding

Agency for Healthcare Research and Quality 1R03HS024630-01Agency for Healthcare Research and Quality 1R18HS021429-01Nebraska Department of Health and Human Services 20871-Y3
6 · The paper itself

Abstract

backgroundConducting post-fall huddles is considered an integral component of a fall-risk-reduction program. However, there is no evidence linking post-fall huddles to patient outcomes or perceptions of teamwork and safety culture. The purpose of this study is to determine associations between conducting post-fall huddles and repeat fall rates and between post-fall huddle participation and perceptions of teamwork and safety culture.

methodsDuring a two-year demonstration project, we developed a system for 16 small rural hospitals to report, benchmark, and learn from fall events, and we trained them to conduct post-fall huddles. To calculate a hospital's repeat fall rate, we divided the total number of falls reported by the hospital by the number of unique medical record numbers associated with each fall. We used Spearman correlations with exact P values to determine the association between the proportion of falls followed by a huddle and the repeat fall rate. At study end, we used the TeamSTEPPS® Teamwork Perceptions Questionnaire (T-TPQ) to assess perceptions of teamwork support for fall-risk reduction and the Hospital Survey on Patient Safety Culture (HSOPS) to assess perceptions of safety culture. We added an item to the T-TPQ for respondents to indicate the number of post-fall huddles in which they had participated. We used a binary logistic regression with a logit link to examine the effect of participation in post-fall huddles on respondent-level percent positive T-TPQ and HSOPS scores. We accounted for clustering of respondents within hospitals with random effects using the GLIMMIX procedure in SAS/STAT.

resultRepeat fall rates were negatively associated with the proportion of falls followed by a huddle. As compared to hospital staff who did not participate in huddles, those who participated in huddles had more positive perceptions of four domains of safety culture and how team structure, team leadership, and situation monitoring supported fall-risk reduction.

conclusionsPost-fall huddles may reduce the risk of repeat falls. Staff who participate in post-fall huddles are likely to have positive perceptions of teamwork support for fall-risk reduction and safety culture because huddles are a team-based approach to reporting, adapting, and learning.

Indexed as

Patient SafetyAccidental FallsCross-Sectional StudiesGroup ProcessesHealth Knowledge, Attitudes, PracticeHumansInpatientsLongitudinal StudiesProgram EvaluationSafety ManagementPost-fall huddlesSafety cultureTeamwork

Identifiers

PMID31500609
PMCPMC6734353
OpenAlexW2972382163

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.