Evidence map›Paper›PMID 36282565›Full record

ArticleJMIR research protocols2022

Feasibility of Digital Cognitive Behavioral Therapy for Depressed Older Adults With the Moodbuster Platform: Protocol for 2 Pilot Feasibility Studies.

Khadicha Amarti, Mieke H J Schulte, Annet Kleiboer, Claire Rosalie Van Genugten, Mardien Oudega, Caroline Sonnenberg, Gonçalo C Gonçalves, Artur Rocha, Heleen Riper

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  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

9 authors at 4 institutions in 4 countries.

Khadicha AmartiClinical Psychology Section, Department of Clinical, Neuro- and Developmental Psychology, Vrije Universiteit, Amsterdam, Netherlands.ORCID https://orcid.org/0000-0002-0586-6407
Mieke H J SchulteClinical Psychology Section, Department of Clinical, Neuro- and Developmental Psychology, Vrije Universiteit, Amsterdam, Netherlands.ORCID https://orcid.org/0000-0002-4295-1141
Annet KleiboerClinical Psychology Section, Department of Clinical, Neuro- and Developmental Psychology, Vrije Universiteit, Amsterdam, Netherlands.ORCID https://orcid.org/0000-0001-8040-5697
Claire Rosalie Van GenugtenClinical Psychology Section, Department of Clinical, Neuro- and Developmental Psychology, Vrije Universiteit, Amsterdam, Netherlands.ORCID https://orcid.org/0000-0003-3209-4673
Mardien OudegaAmsterdam Universitair Medisch Centrum, Vrije Universiteit, Public Health Research Institute and Neuroscience Amsterdam, Amsterdam, Netherlands.ORCID https://orcid.org/0000-0002-1521-1682
Caroline SonnenbergAmsterdam Universitair Medisch Centrum, Vrije Universiteit, Public Health Research Institute and Neuroscience Amsterdam, Amsterdam, Netherlands.ORCID https://orcid.org/0000-0001-5034-0239
Gonçalo C GonçalvesInstitute for Systems and Computer Engineering, Technology and Science, Porto, Portugal.ORCID https://orcid.org/0000-0003-3849-9065
Artur RochaInstitute for Systems and Computer Engineering, Technology and Science, Porto, Portugal.ORCID https://orcid.org/0000-0002-5637-1041
Heleen RiperClinical Psychology Section, Department of Clinical, Neuro- and Developmental Psychology, Vrije Universiteit, Amsterdam, Netherlands.ORCID https://orcid.org/0000-0002-8144-8901
Vrije Universiteit Amsterdam · NLAmsterdam Neuroscience · NLINESC TEC · PTUniversity of Turku · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInternet-based interventions can be effective in the treatment of depression. However, internet-based interventions for older adults with depression are scarce, and little is known about their feasibility and effectiveness.

objectiveTo present the design of 2 studies aiming to assess the feasibility of internet-based cognitive behavioral treatment for older adults with depression. We will assess the feasibility of an online, guided version of the Moodbuster platform among depressed older adults from the general population as well as the feasibility of a blended format (combining integrated face-to-face sessions and internet-based modules) in a specialized mental health care outpatient clinic.

methodsA single-group, pretest-posttest design will be applied in both settings. The primary outcome of the studies will be feasibility in terms of (1) acceptance and satisfaction (measured with the Client Satisfaction Questionnaire-8), (2) usability (measured with the System Usability Scale), and (3) engagement (measured with the Twente Engagement with eHealth Technologies Scale). Secondary outcomes include (1) the severity of depressive symptoms (measured with the 8-item Patient Health Questionnaire depression scale), (2) participant and therapist experience with the digital technology (measured with qualitative interviews), (3) the working alliance between patients and practitioners (from both perspectives; measured with the Working Alliance Inventory-Short Revised questionnaire), (4) the technical alliance between patients and the platform (measured with the Working Alliance Inventory for Online Interventions-Short Form questionnaire), and (5) uptake, in terms of attempted and completed modules. A total of 30 older adults with mild to moderate depressive symptoms (Geriatric Depression Scale 15 score between 5 and 11) will be recruited from the general population. A total of 15 older adults with moderate to severe depressive symptoms (Geriatric Depression Scale 15 score between 8 and 15) will be recruited from a specialized mental health care outpatient clinic. A mixed methods approach combining quantitative and qualitative analyses will be adopted. Both the primary and secondary outcomes will be further explored with individual semistructured interviews and synthesized descriptively. Descriptive statistics (reported as means and SDs) will be used to examine the primary and secondary outcome measures. Within-group depression severity will be analyzed using a 2-tailed, paired-sample t test to investigate differences between time points. The interviews will be recorded and analyzed using thematic analysis.

resultsThe studies were funded in October 2019. Recruitment started in September 2022.

conclusionsThe results of these pilot studies will show whether this platform is feasible for use by the older adult population in a blended, guided format in the 2 settings and will represent the first exploration of the size of the effect of Moodbuster in terms of decreased depressive symptoms. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/41445.

Indexed as

acceptancedepression severityengagementfeasibility studyiCBTolder adultssatisfactionstudy protocolusability

Identifiers

PMID36282565
PMCPMC9644251
OpenAlexW4307340145

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.