Evidence map›Paper›PMID 39373341›Full record

ArticleJournal of the American Geriatrics Society2025

Hospital 4Ms: Documentation and association with patient characteristics.

Sarah A Welch, Kristin R Archer, Alicia M Hymel, Jacquelyn S Pennings, Andrea Wershof Schwartz, Christy Kang, Edward T Qian, Maria C Duggan, Christianne L Roumie

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2025. 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
–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

4 citing papers in PubMed.

  1. Observational
  2. Hospital 4Ms: Documentation and association with patient characteristics.Journal of the American Geriatrics Society · 2025
    Article
  3. Article
  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

9 authors.

Sarah A WelchDepartment of Physical Medicine and Rehabilitation, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0002-1309-4531
Kristin R ArcherDepartment of Physical Medicine and Rehabilitation, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Alicia M HymelCenter for Musculoskeletal Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Jacquelyn S PenningsCenter for Musculoskeletal Research, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Andrea Wershof SchwartzNew England GRECC, VA Boston Healthcare System, Boston, Massachusetts, USA.ORCID 0000-0002-2076-6068
Christy KangPhiladelphia College of Osteopathic Medicine, Suwanne, Georgia, USA.
Edward T QianDivision of Allergy, Pulmonary, and Critical Care Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Maria C DugganGeriatric Research Education and Clinical Center (GRECC), Department of Veteran Affairs, Tennessee Valley Healthcare System, Nashville, Tennessee, USA.
Christianne L RoumieGeriatric Research Education and Clinical Center (GRECC), Department of Veteran Affairs, Tennessee Valley Healthcare System, Nashville, Tennessee, USA.ORCID 0000-0002-6555-2055

Funding

A novel use of web-based software to efficiently triage pre-surgical patients basR44TR000045 · NCATS · MEDSLEUTH, INC. · PI KALAMAS, ALICIA GRUBER · 2012 to 2012
$546k
NCATS NIH HHS R44 TR000045NCATS NIH HHS UL1TR00045West End Home Foundation
6 · The paper itself

Abstract

backgroundFor the thousands of health systems recognized as Age-Friendly, considerable progress has been made to integrate 4Ms into clinical care. This study evaluated associations between 4Ms documentation and patient characteristics in an inpatient setting.

methodsIn this prospective cohort, hospitalizations included were from patients in an Acute Care for Elders (ACE) unit where the 4Ms were adopted and implemented. Each M (What Matters, Medication, Mentation, and Mobility) was stratified into three categories (not documented, partly documented, and fully documented) reflecting "assessment" and "action" clinical care processes. Electronic health records were reviewed for patient and hospitalization characteristics. Descriptive statistics evaluated these characteristics across categories of each M.

resultsThere were 620 hospital encounters (573 patients) included in the cohort. Patients had a median age of 80 years [IQR 76, 86] and 85% were White. Of all 4Ms, What Matters had the lowest documentation with 413 (67%) of encounters falling into the not documented group. Medication had the highest documentation with 453 (73%) of encounters in the fully documented group. Significant differences in documentation were associated with age and partly versus fully documented Mobility (80 [76, 86] and 82 [77, 88] (p = 0.019)). Hospital length of stay was differentially associated with documentation of all 4M categories. Initial mobility scores were associated with not versus partly documented Medication (6 [2, 7] and 2 [2, 6] (p = 0.041)).

conclusionsWe developed a structured way to categorize "assessment" and "action" 4Ms care processes reflective of three documentation categories in the hospital (not, partly, and fully) and identified important patient and hospital characteristics associated with each. These results offer opportunities for future improvement efforts and insight to which characteristics may be important to measure with wider 4Ms adoption and uptake.

Indexed as

DocumentationElectronic Health RecordsHospitalizationAgedAged, 80 and overFemaleHumansMaleProspective Studies4Msage friendly health systemhospital

Identifiers

PMID39373341
PMCPMC11734090

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.