Evidence map›Paper›PMID 42282023›Full record

ArticleResearch square2026

Doctor-Patient Communication and Sensory Disabilities among Community-Dwelling Older Adults: Findings from NHATS.

Kevin Nguyen, Theodora Papachristou, Olga Korosteleva

Abstract readPreprint
In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Kevin NguyenCalifornia State University, Long Beach.
Theodora PapachristouCalifornia State University, Long Beach.
Olga KorostelevaCalifornia State University, Long Beach.

Funding

The National Health and Trends StudyU01AG032947 · NIA · JOHNS HOPKINS UNIVERSITY · PI VICKI A. FREEDMAN, JENNIFER ANN SCHRACK · 2008 to 2026
$169.4M
NIA NIH HHS U01 AG032947
6 · The paper itself

Abstract

Objectives: Older adults with communication disabilities (CDs) face challenges across various environments, with the most pronounced difficulties occurring in healthcare settings. Although CDs are common, limited research has examined the medical and socioeconomic factors contributing to these difficulties in patient-centered contexts. This study investigates the interplay between communication experiences and associated risk factors among older adults in healthcare settings. Methods: We analyzed data (N = 3,725) from Rounds 1 (2011) to 12 (2022) of the National Health and Aging Trends Study (NHATS). After data cleaning and integration, we applied both binary logistic regression and weighted models to account for population-level adjustments and to identify key covariates associated with communication difficulties. Results: Among 3,725 participants, health-related concerns (OR = 11.06, 95% CI: 7.81-15.65) were strongly associated with communication difficulties in clinical settings. Hearing loss (OR = 1.56, 95% CI: 1.05-2.10) and lower educational attainment (less than high school) (OR = 1.59, 95% CI: 1.23-2.06) were also significant predictors. Conclusion: These findings suggest that underlying health conditions play a substantial role in communication difficulties among older adults in healthcare environments. This highlights the need for targeted support strategies and improved physician-patient communication. Future research should focus on developing interventions that enhance communication and strengthen clinical relationships for patients with communication disabilities.

Indexed as

Communication DisorderDoctor-Patient CommunicationHearing ImpairmentVision Impairment

Identifiers

PMID42282023
PMCPMC13252531

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.