Evidence map›Paper›PMID 32515837›Full record

Observational studyResearch in nursing & health2020

Unit-level variation in bed alarm use in US hospitals.

Vincent S Staggs, Kea Turner, Catima Potter, Emily Cramer, Nancy Dunton, Lorraine C Mion, Ronald I Shorr

Open access · greenAbstract readComparative StudyObservational Study
In one paragraph

Observational study in Research in nursing & health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Nurse-led fall prevention programs in acute care settings: An integrative review.International journal of nursing studies advances · 2025
    Review
  4. Article
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 6 institutions in 1 country.

Vincent S StaggsBiostatistics & Epidemiology, Division of Health Services & Outcomes Research, Children's Mercy Kansas City, Kansas City, Missouri.ORCID 0000-0002-6232-9149
Kea TurnerDepartment of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, Florida.ORCID 0000-0002-7885-0879
Catima PotterPress Ganey, Inc., South Bend, Indiana.ORCID 0000-0002-7927-8608
Emily CramerSchool of Nursing, University of Kansas Medical Center, Kansas City, Kansas.ORCID 0000-0001-7969-7522
Nancy DuntonSchool of Nursing, University of Kansas Medical Center, Kansas City, Kansas.ORCID 0000-0001-7776-7814
Lorraine C MionSchool of Nursing, The Ohio State University, Columbus, Ohio.
Ronald I ShorrDepartment of Epidemiology, University of Florida, Gainesville, Florida.ORCID 0000-0002-1457-4668
University of Kansas Medical Center · USChildren's Mercy Hospital · USMoffitt Cancer Center · USPress Ganey · USThe Ohio State University · USUniversity of Florida · US

Funding

Fall prevention in high-and low-fall hospital nursing unitsR56AG051799 · NIA · UNIVERSITY OF FLORIDA · PI SHORR, RONALD I · 2016 to 2016
$424k
NIA NIH HHS R56 AG051799
6 · The paper itself

Abstract

Bed and chair alarms are widely used in hospitals, despite lack of effectiveness and unintended negative consequences. In this cross-sectional, observational study, we examined alarm prevalence and contributions of patient- and unit-level factors to alarm use on 59 acute care nursing units in 57 US hospitals participating in the National Database of Nursing Quality Indicators®. Nursing unit staff reported data on patient-level fall risk and fall prevention measures for 1,489 patients. Patient-level propensity scores for alarm use were estimated using logistic regression. Expected alarm use on each unit, defined as the mean patient propensity-for-alarm score, was compared with the observed rate of alarm use. Over one-third of patients assessed had an alarm in the "on" position. Patient characteristics associated with higher odds of alarm use included recent fall, need for ambulation assistance, poor mobility judgment, and altered mental status. Observed rates of unit alarm use ranged from 0% to 100% (median 33%, 10th percentile 5%, 90th percentile 67%). Expected alarm use varied less (median 31%, 10th percentile 27%, and 90th percentile 45%). Only 29% of variability in observed alarm use was accounted for by expected alarm use. Unit assignment was a stronger predictor of alarm use than patient-level fall risk variables. Alarm use is common, varies widely across hospitals, and cannot be fully explained by patient fall risk factors; alarm use is driven largely by unit practices. Alarms are used too frequently and too indiscriminately, and guidance is needed for optimizing alarm use to reduce noise and encourage mobility in appropriate patients.

Indexed as

Accidental FallsAdultAgedAged, 80 and overClinical AlarmsCross-Sectional StudiesFemaleHospitalsHospitals, RuralHospitals, UrbanHumansIntensive Care UnitsMaleMiddle AgedPatient SafetyUnited Statesevidence-based practiceinpatientspatient-centered carepatient safety

Identifiers

PMID32515837
PMCPMC7413163
OpenAlexW3033517737

What OpenQuestion holds

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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.