Evidence map›Paper›PMID 36637798›Full record

ArticleJournal of the American Geriatrics Society2023

Revealing the tension: The relationship between high fall risk categorization and low patient mobility.

Carmen E Capo-Lugo, Daniel L Young, Holley Farley, Carla Aquino, Kevin McLaughlin, Elizabeth Colantuoni, Lisa Aronson Friedman, Sowmya Kumble, Erik H Hoyer

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
10.9field-weighted citation impact, top 2% 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, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 3 institutions in 1 country.

Carmen E Capo-LugoDepartment of Physical Therapy, School of Health Professions, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID 0000-0002-6830-3230
Daniel L YoungPhysical Medicine and Rehabilitation, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Holley FarleyDepartment of Nursing, Johns Hopkins Hospital, Baltimore, Maryland, USA.
Carla AquinoDepartment of Nursing, Johns Hopkins Hospital, Baltimore, Maryland, USA.
Kevin McLaughlinDepartment of Physical Medicine and Rehabilitation, Johns Hopkins Hospital, Baltimore, Maryland, USA.
Elizabeth ColantuoniDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Lisa Aronson FriedmanDivision of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Sowmya KumbleDepartment of Physical Medicine and Rehabilitation, Johns Hopkins Hospital, Baltimore, Maryland, USA.
Erik H HoyerPhysical Medicine and Rehabilitation, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Johns Hopkins Hospital · USJohns Hopkins University · USUniversity of Nevada, Las Vegas · US

Funding

DEEP SOUTH TRANSLATIONAL RESEARCH MENTORED CAREER DEVELOPMENT PROGRAMKL2TR003097 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SAAG, KENNETH G · 2019 to 2023
$5.2M
NCATS NIH HHS KL2 TR003097
6 · The paper itself

Abstract

backgroundUsing an inpatient fall risk assessment tool helps categorize patients into risk groups which can then be targeted with fall prevention strategies. While potentially important in preventing patient injury, fall risk assessment may unintentionally lead to reduced mobility among hospitalized patients. Here we examined the relationship between fall risk assessment and ambulatory status among hospitalized patients.

methodsWe conducted a retrospective cohort study of consecutively admitted adult patients (n = 48,271) to a quaternary urban hospital that provides care for patients of broad socioeconomic and demographic backgrounds. Non-ambulatory status, the primary outcome, was defined as a median Johns Hopkins Highest Level of Mobility <6 (i.e., patient walks less than 10 steps) throughout hospitalization. The primary exposure variable was the Johns Hopkins Fall Risk Assessment Tool (JHFRAT) category (Low, Moderate, High). The capacity to ambulate was assessed using the Activity Measure for Post-Acute Care (AM-PAC). Multivariable regression analysis controlled for clinical demographics, JHFRAT items, AM-PAC, comorbidity count, and length of stay.

results8% of patients at low risk for falls were non-ambulatory, compared to 25% and 54% of patients at moderate and high risk for falls, respectively. Patients categorized as high risk and moderate risk for falls were 4.6 (95% CI: 3.9-5.5) and 2.6 (95% CI: 2.4-2.9) times more likely to be non-ambulatory compared to patients categorized as low risk, respectively. For patients with high ambulatory potential (AM-PAC 18-24), those categorized as high risk for falls were 4.3 (95% CI: 3.5-5.3) times more likely to be non-ambulatory compared to patients categorized as low risk.

conclusionsPatients categorized into higher fall risk groups had decreased mobility throughout their hospitalization, even when they had the functional capacity to ambulate.

Indexed as

HospitalizationMobility LimitationHumansRetrospective StudiesRisk AssessmentRisk Factorsaccidental fallshealth services researchinpatientsquality improvement

Identifiers

PMID36637798
PMCPMC10175187
OpenAlexW4315928902

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.