Evidence map›Paper›PMID 39314001›Full record

Observational studyInquiry : a journal of medical care organization, provision and financing

Assessing Equitable Adherence to the Age-Friendly Health System's 4Ms Framework in an Academic Inpatient Setting.

Julia Adler-Milstein, Robert Thombley, Sarah Rosenthal, Benjamin Rosner, Stephanie Rogers

Abstract readObservational Study
In one paragraph

Observational study in Inquiry : a journal of medical care organization, provision and financing. 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. Article
  2. Article
  3. Article
  4. Age Friendly Health Systems: Pivoting from Breadth to Depth.Inquiry : a journal of medical care organization, provision and financing
    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

5 authors.

Julia Adler-MilsteinUniversity of California, San Francisco, CA, USA.
Robert ThombleyUniversity of California, San Francisco, CA, USA.
Sarah RosenthalUniversity of California, San Francisco, CA, USA.ORCID 0009-0002-8452-7207
Benjamin RosnerUniversity of California, San Francisco, CA, USA.ORCID 0000-0003-3609-6481
Stephanie RogersUniversity of California, San Francisco, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While thousands of health systems have begun to implement the Age-Friendly Health System's 4Ms Framework to improve care for older patients, an important phase of work is achieving consistent adherence to 4Ms care processes. Identifying mechanisms that may lead to higher versus lower adherence serves to guide efforts to achieve consistent, equitable adherence. Drawing from prior literature, we identified three mechanisms that may influence 4Ms adherence. We then conducted a 3-year retrospective, observational study of inpatient encounters (n = 28 833) at UCSF Health System with patients aged 65+. We used least squares regression models to assess associations between hospital encounter-level measures of 4Ms adherence and proxy measures of patient and encounter characteristics for each hypothesized mechanism along with control variables. Encounter-level adherence to the 4Ms was 65.5% (SD = 14.3%). We found support for all three mechanisms. Negative implicit biases were associated with lower adherence for patients who were obese [0.79 percentage points (PP) lower;

Indexed as

InpatientsAcademic Medical CentersAgedAged, 80 and overFemaleGuideline AdherenceHumansMaleRetrospective StudiesUnited States4Msadherenceage-friendly health systemscare deliveryequity

Identifiers

PMID39314001
PMCPMC11425728

What OpenQuestion holds

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LicenceCC BY-NC
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.