Evidence map›Paper›PMID 37265397›Full record

ArticleJournal of the American Geriatrics Society2023

Development and applicability of a risk assessment tool for hospital-acquired mobility impairment in ambulatory older adults.

Sachin J Shah, Ari Hoffman, Logan Pierce, Kenneth E Covinsky

Abstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

4 authors.

Sachin J ShahDivision of General Internal Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Ari HoffmanCollective Health, San Mateo, California, USA.
Logan PierceDivision of Hospital Medicine, University of California, San Francisco, California, USA.
Kenneth E CovinskyDivision of Geriatrics, University of California, San Francisco, California, USA.

Funding

VARC CoreP30AG044281 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Alexander Keliimoeanu Smith · 2013 to 2026
$19.9M
Individualizing Anticoagulant use in Older Adults with Atrial FibrillationK76AG074919 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SHAH, SACHIN J · 2021 to 2025
$1.2M
NIA NIH HHS K76 AG074919NIA NIH HHS K76AG074919NIA NIH HHS P30 AG044281
6 · The paper itself

Abstract

backgroundMobility loss is common in hospitalized older adults, and resources to prevent mobility impairment are finite. Our goal was to use routinely collected data to develop a risk assessment tool that identifies individuals at risk of losing the ability to walk during hospitalization on the first hospital day. Second, we determined if the tool could inform the use of mobility-preserving interventions.

methodsWe included patients admitted to a general medical service, aged ≥65 years, who walked occasionally or frequently on admission (Braden Scale Activity subset > = 3). Patients were considered to have a new mobility impairment if, at discharge, their ability to walk was severely limited or nonexistent or they were confined to bed (Braden Scale Activity subset <3). We used predictors available on the first hospital day to develop (2017-18 cohort) and validate (2019 cohort) a risk assessment tool. We determined the association between predicted risk and therapy use in the validation cohort to highlight the model's clinical utility.

results5542 patients were included (median age 76 years, 48% women); 7.6% were discharged unable to walk. The model included 5 predictors: age, medication administrations, Glasgow Coma Scale verbal score, serum albumin, and urinary catheter presence. In the validation cohort, the model discriminated well (c-statistic 0.75) and was strongly associated with hospital-acquired mobility impairment (lowest decile 1%, highest decile 25%). In the validation cohort, therapy consultation ordering increased linearly with predicted risk; however, observed mobility impairment increased exponentially.

conclusionThe tool assesses the risk of mobility impairment in all ambulatory hospitalized older adults on the first hospital day. Further, it identifies at-risk older adults who may benefit from mobility interventions.

Indexed as

HospitalizationPatient DischargeAgedFemaleHospitalsHumansMaleRisk AssessmentWalkingclinical decision makinghospital acquired disabilityprognostic models

Identifiers

PMID37265397
PMCPMC10592555

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.