Evidence map›Paper›PMID 39867489›Full record

ArticleNature. Mental health2024

A health-equity framework for tailoring digital non-pharmacological interventions in aging.

Adam Turnbull, Michelle C Odden, Christine E Gould, Ehsan Adeli, Robert M Kaplan, Feng Vankee Lin

Abstract read
In one paragraph

Article in Nature. Mental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

6 authors.

Adam TurnbullDepartment of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA.ORCID 0000-0002-1629-562X
Michelle C OddenDepartment of Epidemiology and Population Health, Stanford University, Stanford, CA, USA.
Christine E GouldDepartment of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA.
Ehsan AdeliDepartment of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA.ORCID 0000-0002-0579-7763
Robert M KaplanClinical Excellence Research Center, Stanford University School of Medicine, Stanford, CA, USA.
Feng Vankee LinDepartment of Psychiatry & Behavioral Sciences, Stanford University, Stanford, CA, USA.

Funding

Develop an ANS-based Personalized Cognitive Training for Mild Cognitive ImpairmentR33AG073356 · NIA · STANFORD UNIVERSITY · PI LIN, FENG VANKEE, TAPPARELLO, CRISTIANO · 2023 to 2025
$2.2M
A facial expression-based personalization engine (FPE) for monitoring and modulating real-time effective engagement in cognitive training in older adults at risk for AD/ADRDR61AG084471 · NIA · STANFORD UNIVERSITY · PI ADELI, EHSAN, LIN, FENG VANKEE · 2023 to 2024
$702k
Develop an ANS-based Personalized Cognitive Training for Mild Cognitive ImpairmentR21AG073356 · NIA · STANFORD UNIVERSITY · PI LIN, FENG VANKEE, TAPPARELLO, CRISTIANO · 2021 to 2023
$476k
Characterizing biopsychological mismatch during cognitive training in mild cognitive impairment as a means of improving transferK01AG086665 · NIA · STANFORD UNIVERSITY · PI Adam Turnbull · 2024 to 2026
$378k
NIA NIH HHS K01 AG086665NIA NIH HHS R21 AG073356NIA NIH HHS R33 AG073356NIA NIH HHS R61 AG084471
6 · The paper itself

Abstract

If designed with health equity in mind, digital non-pharmacological interventions (NPIs) represent a cost-effective, scalable means of reducing health disparities associated with age-related mental health disorders in older adults in the USA. However, disparities in technological access, literacy and effectiveness can limit the impact of these interventions in older adults from disadvantaged groups. We present a health-equity-promoting framework for the development of digital NPIs for age-related mental health disorders and provide an example from the literature that highlights how interventions can be targeted at specific groups to increase technological access, literacy and effectiveness to ensure that these interventions can meet their potential of reducing health disparities.

Identifiers

PMID39867489
PMCPMC11756576

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.