Evidence map›Paper›PMID 40686665›Full record

ArticleHome health care management & practice2020

Detecting Disparities in Medication Management Among Limited English Proficient and English Proficient Home Health Patients.

Sarah M Miner, Allison P Squires, Chenjuan Ma, Margaret V McDonald, Simon A Jones

Abstract read
In one paragraph

Article in Home health care management & practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Sarah M MinerSt. John Fisher College, Rochester, NY, USA.ORCID 0000-0002-6866-7843
Allison P SquiresNYU Rory Meyers College of Nursing, New York City, USA.ORCID 0000-0002-5238-2122
Chenjuan MaNYU Rory Meyers College of Nursing, New York City, USA.ORCID 0000-0002-3792-2565
Margaret V McDonaldVisiting Nurse Service of New York, New York City, USA.
Simon A JonesNYU Department of Population Health, Division of Healthcare Delivery Science, New York, USA.

Funding

AHRQ HHS R01 HS023593
6 · The paper itself

Abstract

According to the U.S. census Bureau, close to 20% of the U.S. population speaks a language other than English at home. Home health care (HHC) patients who speak English less than very well or have limited English proficiency (LEP) are at an increased risk for medication mismanagement and serious health consequences. The purpose of this study was to examine if there were differences in medication management between English-speaking patients and patients with LEP receiving HHC services. Data for this cross-sectional observation study were collected from 2010 to 2014. Medication management was measured by two items in the Centers for Medicare and Medicaid Services-mandated Outcomes Assessment Information Set (OASIS). All patients in the database who were taking medications and had a valid admission and discharge assessment from HHC were included in the analysis. Inverse probability of treatment weighting (IPTW) with a marginal structural model was used to address potential imbalances in observed patient characteristics when estimating the effect of having LEP or being an English-speaking HHC patient on changes in medication management over the course of a HHC episode. Estimates from marginal structural model with inverse probability weighting indicate that being LEP was associated with less improvement in medication management and increased likelihood of getting worse over the course of a HHC episode. This study is one of the first to demonstrate that patients with LEP experience disparities in medication management when compared to English-speaking patients in HHC.

Indexed as

health disparitieshealth literacyhome carelimited English proficiencymedications

Identifiers

PMID40686665
PMCPMC12273862

What OpenQuestion holds

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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.