Evidence map›Paper›PMID 40161192›Full record

ArticleCureus2025

Reduced Pain Medication Use Following Virtual Art Therapy in a Skilled Nursing Facility Patient: A Case Report.

Mengdong He, Michelle Y Ko, Salim F Ahmed, Navid Darouian

Abstract readCase Reports
In one paragraph

Article in Cureus, 2025. 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

4 authors.

Mengdong HeMedicine, University of California Los Angeles David Geffen School of Medicine, Los Angeles, USA.
Michelle Y KoMedicine, University of California Los Angeles David Geffen School of Medicine, Los Angeles, USA.
Salim F AhmedInternal Medicine, University of California Los Angeles, Los Angeles, USA.
Navid DarouianInternal Medicine, University of California Los Angeles, Los Angeles, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic pain and sleep disturbances significantly affect quality of life, particularly in older adults. Effective management often combines pharmacological and non-pharmacological interventions. Art therapy has shown benefits in reducing pain, promoting relaxation, and improving emotional well-being. While traditional art therapy is well-documented, virtual adaptations are less explored, especially in geriatric populations. This report describes a 78-year-old woman with chronic pain and sleep disturbances linked to peripheral neuropathy, lower extremity vascular disease, and multiple musculoskeletal injuries. Despite treatment with gabapentin, oxycodone, and other medications, her sleep remained severely disrupted, averaging only one to 1.5 hours at a time. The patient began using "Vita Color for Seniors," a virtual coloring application, dedicating one to 1.5 hours daily. Within two weeks, she reported sleeping four to five hours straight, a notable improvement, and reduced reliance on pain medication. The structured and interactive design of the application likely facilitated meditative states, promoting relaxation and consistent use. Virtual art therapy may address physical and emotional challenges, offering an accessible intervention for older adults with chronic pain. This case highlights the potential of digital art therapy as a scalable adjunct to traditional treatments. Further research is needed to evaluate its long-term efficacy and broader applicability.

Indexed as

art therapychronic pain syndromeinsomnianon-pharmacological therapyskilled nursing facility care

Identifiers

PMID40161192
PMCPMC11954423

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.