Evidence map›Paper›PMID 33820786›Full record

ReviewBMJ open2021

Digital health interventions for the management of mental health in people with chronic diseases: a rapid review.

Maxime Sasseville, Annie LeBlanc, Mylène Boucher, Michèle Dugas, Gisele Mbemba, Jack Tchuente, Maud-Christine Chouinard, Marianne Beaulieu, Nicolas Beaudet, Becky Skidmore and 5 more

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04925765 (Virtual Reality Biofeedback for Postpartum Anxiety and Depression), which is not on this map. Cited by 33 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 6 pooled it
7.8field-weighted citation impact, top 2% 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.

NCT04925765 nacompletednot on this map

Virtual Reality Biofeedback for Postpartum Anxiety and Depression

TypeinterventionalSponsorGrace Lim, MD, MSRan2021 to 2021Enrolled6ConditionsAnxiety and Depression, Postpartum Depression, Pregnancy RelatedArmsVirtual Reality Biofeedback Session
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 6 syntheses or guidelines pooled it, 70 citations in OpenAlex.

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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

15 authors at 6 institutions in 1 country.

Maxime SassevilleDepartment of Health Sciences, Université du Québec à Chicoutimi, Chicoutimi, Québec, Canada maxime1_sasseville@uqac.ca.ORCID 0000-0003-1694-1414
Annie LeBlancVITAM Research Center on Sustainable Health, Québec, Québec, Canada.ORCID 0000-0002-5377-8102
Mylène BoucherVITAM Research Center on Sustainable Health, Québec, Québec, Canada.
Michèle DugasVITAM Research Center on Sustainable Health, Québec, Québec, Canada.
Gisele MbembaVITAM Research Center on Sustainable Health, Québec, Québec, Canada.
Jack TchuenteVITAM Research Center on Sustainable Health, Québec, Québec, Canada.
Maud-Christine ChouinardNursing Faculty, Université de Montréal, Montreal, Québec, Canada.
Marianne BeaulieuNursing Faculty, Université Laval, Quebec, Québec, Canada.
Nicolas BeaudetOmnimed, Québec, Québec, Canada.
Becky SkidmoreIndependent information specialist, Ottawa, Ontario, Canada.
Pascale CholetteCentre intégré universitaire de santé et de services sociaux de la Capitale-Nationale du Québec, Quebec, Quebec, Canada.
Christine AspirosPatient partner, Québec, Quebec, Canada.
Alain LaroucheGroupe Santé Concerto, Montréal, Québec, Canada.
Guylaine ChabotGroupe Santé Concerto, Montréal, Québec, Canada.
Marie-Pierre GagnonNursing Faculty, Université Laval, Quebec, Québec, Canada.ORCID 0000-0002-0782-5457
Université Laval · CASante Montreal · CACentres Intégré Universitaires de Santé et de Services Sociaux · CAUniversité de Montréal · CAUniversité de Sherbrooke · CAUniversité du Québec à Chicoutimi · CA

Funding

Canadian Institute for Health Research 202005CMS-442711-CMV-CFBA-111141
6 · The paper itself

Abstract

objectiveDetermine the effectiveness of digital mental health interventions for individuals with a concomitant chronic disease.

designWe conducted a rapid review of systematic reviews. Two reviewers independently conducted study selection and risk of bias evaluation. A standardised extraction form was used. Data are reported narratively.

interventionsWe included systematic reviews of digital health interventions aiming to prevent, detect or manage mental health problems in individuals with a pre-existing chronic disease, including chronic mental health illnesses, published in 2010 or after.

main outcome measureReports on mental health outcomes (eg, anxiety symptoms and depression symptoms).

resultsWe included 35 reviews, totalling 702 primary studies with a total sample of 50 692 participants. We structured the results in four population clusters: (1) chronic diseases, (2) cancer, (3) mental health and (4) children and youth. For populations presenting a chronic disease or cancer, health provider directed digital interventions (eg, web-based consultation, internet cognitive-behavioural therapy) are effective and safe. Further analyses are required in order to provide stronger recommendations regarding relevance for specific population (such as children and youth). Web-based interventions and email were the modes of administration that had the most reports of improvement. Virtual reality, smartphone applications and patient portal had limited reports of improvement.

conclusionsDigital technologies could be used to prevent and manage mental health problems in people living with chronic conditions, with consideration for the age group and type of technology used.

Indexed as

Cognitive Behavioral TherapyMental DisordersAdolescentChildChronic DiseaseHumansMental HealthSystematic Reviews as Topicgeneral medicine (see internal medicine)health informaticsmental health

Identifiers

PMID33820786
PMCPMC8030477
OpenAlexW3147799787

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.