Evidence map›Paper›PMID 38182750›Full record

ReviewCommunications medicine2024

Challenges in implementing cultural adaptations of digital health interventions.

Vasileios Nittas, Paola Daniore, Sarah J Chavez, Tyler B Wray

Erratum issuedAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Communications medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 44 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 3 pooled it
–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

44 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  17. Experiences of technology for increasing physical activity of older adults: a qualitative systematic review and meta-synthesis.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Vasileios NittasDepartment of Behavioral and Social Sciences, Brown University School of Public Health, 121 South Main Street, 02912, Providence, RI, USA. Nittas_vasilios@brown.edu.
Paola DanioreInstitute for Implementation Science in Health Care, University of Zurich Faculty of Medicine, Universitaetstrasse 84, 8006, Zurich, Switzerland.
Sarah J ChavezCenter for Alcohol and Addiction Studies, Brown University School of Public Health, 121 South Main Street, 02912, Providence, RI, USA.
Tyler B WrayDepartment of Behavioral and Social Sciences, Brown University School of Public Health, 121 South Main Street, 02912, Providence, RI, USA.

Funding

ALCOHOL INTERVENTION/TREATMENT OUTCOME RESEARCH TRAININGT32AA007459 · NIAAA · BROWN UNIVERSITY · PI ROBERT MIRANDA, PETER M. MONTI · 1986 to 2026
$13.3M
NIAAA NIH HHS T32 AA007459
6 · The paper itself

Abstract

Differences in the access and use of digital health interventions are driven by culture, in addition to economic and physical factors. To avoid the systematic exclusion of traditionally underserved cultural groups, creating inclusive digital health interventions is essential. One way to achieve this is through cultural adaptations, defined as the systematic modification of an existing intervention that aligns with a target audience's cultural norms, beliefs, and values. In theory, cultural adaptations can potentially increase the reach and engagement of digital health interventions. However, the evidence of whether and how that is achieved is limited. Justifying, planning, and implementing an adaptation comes with various challenges and takes time and money. This perspective provides a critical overview of the field's current state and emphasizes the need for technology-specific frameworks that address when and how to culturally adapt digital health interventions.

Identifiers

PMID38182750
PMCPMC10770150

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.