Evidence map›Paper›PMID 38358784›Full record

ArticleJMIR formative research2024

Use Intention and User Expectations of Human-Supported and Self-Help eHealth Interventions: Internet-Based Randomized Controlled Trial.

Talia R Cohen Rodrigues, Thomas Reijnders, Linda D Breeman, Veronica R Janssen, Roderik A Kraaijenhagen, Douwe E Atsma, Andrea Wm Evers

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JMIR formative research, 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
0.6field-weighted citation impact, top 29% 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, 3 citations in OpenAlex.

  1. Article
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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

7 authors at 3 institutions in 1 country.

Talia R Cohen RodriguesHealth, Medical, and Neuropsychology Unit, Leiden University, Leiden, Netherlands.ORCID https://orcid.org/0000-0003-0000-5285
Thomas ReijndersHealth, Medical, and Neuropsychology Unit, Leiden University, Leiden, Netherlands.ORCID https://orcid.org/0000-0002-2184-8727
Linda D BreemanHealth, Medical, and Neuropsychology Unit, Leiden University, Leiden, Netherlands.ORCID https://orcid.org/0000-0002-4441-2731
Veronica R JanssenHealth, Medical, and Neuropsychology Unit, Leiden University, Leiden, Netherlands.ORCID https://orcid.org/0000-0002-9506-5274
Roderik A KraaijenhagenNDDO Institute for Prevention and Early Diagnostics (NIPED), Amsterdam, Netherlands.ORCID https://orcid.org/0000-0002-5102-0197
Douwe E AtsmaDepartment of Cardiology, Leiden University Medical Center, Leiden, Netherlands.ORCID https://orcid.org/0000-0002-9664-2985
Andrea Wm EversHealth, Medical, and Neuropsychology Unit, Leiden University, Leiden, Netherlands.ORCID https://orcid.org/0000-0002-0090-5091
Leiden University · NLLeiden University Medical Center · NLPharmo Institute · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelf-help eHealth interventions provide automated support to change health behaviors without any further human assistance. The main advantage of self-help eHealth interventions is that they have the potential to lower the workload of health care professionals. However, one disadvantage is that they generally have a lower uptake. Possibly, the absence of a relationship with a health care professional (referred to as the working alliance) could lead to negative expectations that hinder the uptake of self-help interventions. The Unified Theory of Acceptance and Use of Technology (UTAUT) identifies which expectations predict use intention. As there has been no previous research exploring how expectations affect the adoption of both self-help and human-supported eHealth interventions, this study is the first to investigate the impact of expectations on the uptake of both kinds of eHealth interventions.

objectiveThis study investigated the intention to use a self-help eHealth intervention compared to a human-supported eHealth intervention and the expectations that moderate this relationship.

methodsA total of 146 participants were randomly assigned to 1 of 2 conditions (human-supported or self-help eHealth interventions). Participants evaluated screenshots of a human-supported or self-help app-based stress intervention. We measured intention to use the intervention-expected working alliance and the UTAUT constructs: performance expectancy, effort expectancy, and social influence.

resultsUse intention did not differ significantly between the 2 conditions (t

conclusionsAs we found no difference in use intention, our results suggest that we could expect an equal uptake of self-help eHealth interventions and human-supported ones. However, attention should be paid to people who have doubts about the intervention's helpfulness or ease of use. For those people, providing additional human support would be beneficial to ensure uptake. Screening user expectations could help health care professionals optimize self-help eHealth intervention uptake in practice.

trial registrationOSF Registries osf.io/n47cz; https://osf.io/n47cz.

Indexed as

eHealthhuman supportUnified Theory of Acceptance and Use of Technologyuse intentionUTAUTworking alliance

Identifiers

PMID38358784
PMCPMC10905349
OpenAlexW4388828732

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.