Evidence map›Paper›PMID 42438764›Full record

ArticleInternet interventions2026

Integrating Nonpharmacologic Strategies for Pain with Inclusion, Respect, and Equity (INSPIRE): Cultural and linguistic tailoring for a digital health intervention.

Marvyn R Arévalo Avalos, Junlin Chen, Tess Fairchild, Kalisha Goodwin, Janice Tsoh, Adrian Aguilera, Jason M Satterfield

Abstract read
In one paragraph

Article in Internet interventions, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Marvyn R Arévalo AvalosSchool of Social Welfare, University of California, Berkeley, CA, USA.
Junlin ChenDepartment of Medicine, Division of General Internal Medicine, University of California, San Francisco, CA, USA.
Tess FairchildDepartment of Medicine, Division of General Internal Medicine, University of California, San Francisco, CA, USA.
Kalisha GoodwinDepartment of Medicine, Division of General Internal Medicine, University of California, San Francisco, CA, USA.
Janice TsohDepartment of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, USA.
Adrian AguileraSchool of Social Welfare, University of California, Berkeley, CA, USA.
Jason M SatterfieldDepartment of Medicine, Division of General Internal Medicine, University of California, San Francisco, CA, USA.

Funding

Integrating Nonpharmacologic Strategies for Pain with Inclusion, Respect, and Equity (INSPIRE): Tailored digital tools, telehealth coaching, and primary care coordinationR33NS129050 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SATTERFIELD, JASON M · 2024 to 2024
$4.8M
NINDS NIH HHS R33 NS129050
6 · The paper itself

Abstract

Chronic pain (CP) disproportionately affects underserved populations who often experience barriers to evidence-based nonpharmacologic treatments. Digital health interventions can address these barriers by providing scalable and accessible CP management resources. However, culturally and linguistically tailored digital interventions are rare, which may limit engagement and effectiveness. The Integrating Nonpharmacologic Strategies for Pain with Inclusion, Respect, and Equity (INSPIRE) intervention combines a tailored mobile app with culturally and linguistically concordant health coaching to deliver cognitive behavioral therapy (CBT), mindfulness-based interventions (MBI), and movement-focused interventions (MFI) for CP management. This manuscript describes the process of linguistically and culturally tailoring the INSPIRE app for three target adult populations-African American/Black, Spanish-speaking Latinx, and Cantonese-speaking Chinese. Iterative tailoring was driven by multiple rounds of stakeholder focus groups followed by generative artificial intelligence (GenAI) and expert review to ensure accuracy and cultural congruence while optimizing limited resources. After initial GenAI content generation in English, the adaptation process began with surface-level adjustments in language translation and cultural representation in visual and audio elements. Deep-level adaptations incorporating culturally rooted values and beliefs about CP were made to address culturally specifically experiences with stigma and bias relevant to CP. This study highlights a replicable, efficient framework for adapting digital health interventions to improve equity and inclusion in CP management by combining AI-driven tools with human expertise to achieve optimal cultural and linguistic adaptations. Future research will evaluate the effectiveness of the INSPIRE intervention in a randomized controlled trial to assess engagement, acceptability, and improved pain outcomes across diverse populations.

Indexed as

African AmericanArtificial intelligenceChineseChronic painCultural adaptationDigital healthLatinxLinguistic adaptation

Identifiers

PMID42438764
PMCPMC13356681

What Socratic holds

Textmetadata
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 Socratic graph.