Evidence map›Paper›PMID 35331943›Full record

ArticleContemporary clinical trials2022

Mentalizing imagery therapy to augment skills training for dementia caregivers: Protocol for a randomized, controlled trial of a mobile application and digital phenotyping.

Felipe A Jain, Olivia Okereke, Laura Gitlin, Paola Pedrelli, Jukka-Pekka Onnela, Maren Nyer, Liliana A Ramirez Gomez, Michael Pittman, Abu Sikder, D J Ursal and 1 more

Open access · greenAbstract readClinical Trial Protocol
In one paragraph

Article in Contemporary clinical trials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 40% of its field
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

6 citing papers in PubMed, 3 citations in OpenAlex.

  1. Trial
  2. Article
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  5. Review
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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

11 authors at 4 institutions in 1 country.

Felipe A JainDepression Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA. Electronic address: felipe.jain@mgh.harvard.edu.
Olivia OkerekeHarvard Medical School, Boston, MA, USA; Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Massachusetts Alzheimer's Disease Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Laura GitlinCollege of Nursing and Health Professions, Drexel University, Philadelphia, PA, USA.
Paola PedrelliDepression Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Jukka-Pekka OnnelaDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Maren NyerDepression Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Liliana A Ramirez GomezHarvard Medical School, Boston, MA, USA; Massachusetts Alzheimer's Disease Research Center, Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Multicultural Alzheimer's Prevention Program, Massachusetts General Hospital, Boston, MA, USA.
Michael PittmanDepression Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Abu SikderInnovation Studio, Children's Hospital, Los Angeles, CA, USA.
D J UrsalDepression Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
David MischoulonDepression Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
Massachusetts General Hospital · USHarvard University · USChildren's Hospital of Los Angeles · USDrexel University · US

Funding

Research Education ComponentP30AG062421 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Alberto Serrano-Pozo · 2019 to 2026
$36.5M
Improving Outcomes for Family Caregivers and Older Adults with Complex Conditions: The Adult Day Service Plus ProgramR01AG049692 · NIA · JOHNS HOPKINS UNIVERSITY · PI GAUGLER, JOSEPH E., GITLIN, LAURA N. · 2016 to 2020
$4.9M
Leveraging Artificial Intelligence for the assessment of severity of depressive symptomsR01MH118274 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI PEDRELLI, PAOLA, PICARD, ROSALIND W · 2019 to 2023
$2.5M
Mobile app delivered Mentalizing Imagery Therapy to augment remote family dementia caregiver skills training: a pilot randomized, controlled trial with outcomes assessment using digital phenotypingK76AG064390 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI JAIN, FELIPE A. · 2020 to 2024
$1.5M
NIA NIH HHS K76 AG064390NIA NIH HHS P30 AG062421NIA NIH HHS R01 AG049692NIMH NIH HHS R01 MH118274
6 · The paper itself

Abstract

More than 50 million people worldwide live with a dementia, and most are cared for by family members. Family caregivers often experience chronic stress and insomnia, resulting in decreased mental and physical health. Accessibility of in-person stress reduction therapy is limited due to caregiver time constraints and distance from therapy sites. Mentalizing imagery therapy (MIT) provides mindfulness and guided imagery tools to reduce stress, promote self and other understanding, and increase feelings of interconnectedness. Combining MIT with caregiver skills training might enable caregivers to both reduce stress and better utilize newly learned caregiving skills, but this has never been studied. Delivering MIT through a smartphone application (App) has the potential to overcome difficulties with scalability and dissemination and offers caregivers an easy-to-use format. Harnessing passive smartphone data provides an important opportunity to study behavioral changes continuously and with higher granularity than routine clinical assessments. This protocol describes a randomized, controlled, superiority trial in which 120 family dementia caregivers, aged 60 years or older, will be assigned to smartphone App delivery of caregiver skills with MIT (experimental condition) or without MIT (control condition). The primary objectives of the trial are to assess whether the experimental condition is superior to control on reducing family caregiver stress, insomnia and related outcomes and to demonstrate the feasibility of developing behavioral markers from passive smartphone data that predict health outcomes in older adults. Trial outcomes may inform the suitability of our intervention for caregivers and provide new methods for assessment of older adults.

Indexed as

DementiaMentalizationMobile ApplicationsSleep Initiation and Maintenance DisordersAgedCaregiversEquivalence Trials as TopicHumansImagery, PsychotherapyQuality of LifeRandomized Controlled Trials as TopicDementiaDigital phenotypingFamily caregiversMentalizationMindfulnessMobile application

Identifiers

PMID35331943
PMCPMC9133149
OpenAlexW4220894095

What OpenQuestion holds

Textmetadata
LicenceTDM
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.