Evidence map›Paper›PMID 30604982›Full record

ReviewPersonality disorders2019

Leveraging digital technology to intervene on personality processes to promote healthy aging.

Lisa A Marsch, Mark T Hegel, Mary Ann Greene

Abstract readReview
In one paragraph

Review in Personality disorders, 2019. 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. Article
  2. Article
  3. 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

3 authors.

Lisa A MarschCenter for Technology and Behavioral Health, Geisel School of Medicine, Department of Psychiatry, Dartmouth College.ORCID 0000-0001-6429-0965
Mark T HegelCenter for Technology and Behavioral Health, Geisel School of Medicine, Department of Psychiatry, Dartmouth College.
Mary Ann GreeneCenter for Technology and Behavioral Health, Geisel School of Medicine, Department of Psychiatry, Dartmouth College.

Funding

Treatment Development & Evaluation CoreP30DA029926 · NIDA · DARTMOUTH COLLEGE · PI Lisa A. Marsch · 2011 to 2026
$21.5M
NIDA NIH HHS P30 DA029926
6 · The paper itself

Abstract

The scientific evidence is clear that personality processes (particularly conscientiousness and neuroticism) play an important role in healthy aging. Assuming it would be desirable to assist individuals to change their personality in directions that would promote healthy aging, the next step is designing interventions for the task. During the past decade, technological advances have made it possible to develop and evaluate interventions delivered via web and mobile digital technologies. The purpose of this article is to discuss the possibilities for leveraging technology to intervene on personality processes to promote healthy aging, with a specific emphasis on applications for older adults. We begin by reviewing interventions that target personality change to treat mental health problems and physical health, followed by the scant research leveraging digital technologies in targeting personality processes. We present a rationale for adopting a transdiagnostic model to guide intervention development and review the brief literature supporting transdiagnostic interventions when adapted for digital delivery (transdiagnostic Internet-based cognitive-behavioral therapy). We then summarize the literature on designing technology interventions to meet the specific needs of older adults and some of the impressive results from digital technology (Internet-based cognitive-behavioral therapy) intervention studies. We conclude with suggestions for addressing gaps in this important but understudied area of research, with a focus on research targeted to older adults. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Indexed as

AgingCognitive Behavioral TherapyHealthy AgingHumansMental DisordersPersonalityTelemedicine

Identifiers

PMID30604982
PMCPMC6322418

What OpenQuestion holds

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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.