Evidence map›Paper›PMID 29459357›Full record

ArticleJournal of medical Internet research2018

Attitudes Toward e-Mental Health Services in a Community Sample of Adults: Online Survey.

Sonja March, Jamin Day, Gabrielle Ritchie, Arlen Rowe, Jeffrey Gough, Tanya Hall, Chin Yan Jackie Yuen, Caroline Leanne Donovan, Michael Ireland

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 64 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 2 pooled it
14.9field-weighted citation impact, top 1% 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.

NCT05449561 completednot on this mapstarted 2022, after this paper: background citation

Beyond Efficacy- Eliciting Preference for Face-to-face and Internet-based Psychotherapy Among People with Depression: Using Discrete Choice Experiment to Advance Future Service Implementation

TypeobservationalSponsorChinese University of Hong KongRan2022 to 2023Enrolled20ConditionsDepression
NCT05477420 nacompletednot on this mapstarted 2022, after this paper: background citation

A Survey Study and Effect of Web-based Decision Aids on Preferences Shift

TypeinterventionalSponsorChinese University of Hong KongRan2022 to 2024Enrolled148ConditionsDepression, PsychotherapiesArmsDecision Aid
3 · Its place in the literature

Who cites it

64 citing papers in PubMed, 2 syntheses or guidelines pooled it, 173 citations in OpenAlex.

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4 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Sonja March *Institute for Resilient Regions, School of Psychology and Counselling, University of Southern Queensland, Queensland, Australia.ORCID 0000-0001-8425-7126
Jamin Day *Institute for Resilient Regions, School of Psychology and Counselling, University of Southern Queensland, Queensland, Australia.ORCID 0000-0003-4277-4816
Gabrielle Ritchie *Institute for Resilient Regions, School of Psychology and Counselling, University of Southern Queensland, Queensland, Australia.ORCID 0000-0002-1898-0209
Arlen Rowe *Institute for Resilient Regions, School of Psychology and Counselling, University of Southern Queensland, Queensland, Australia.ORCID 0000-0002-1880-8513
Jeffrey Gough *Institute for Resilient Regions, School of Psychology and Counselling, University of Southern Queensland, Queensland, Australia.ORCID 0000-0001-6726-3153
Tanya Hall *Institute for Resilient Regions, School of Psychology and Counselling, University of Southern Queensland, Queensland, Australia.ORCID 0000-0002-7176-3107
Chin Yan Jackie Yuen *Institute for Resilient Regions, School of Psychology and Counselling, University of Southern Queensland, Queensland, Australia.ORCID 0000-0002-2919-1619
Caroline Leanne Donovan *School of Applied Psychology, Griffith University, Queensland, Australia.ORCID 0000-0001-6380-635X
Michael Ireland *Institute for Resilient Regions, School of Psychology and Counselling, University of Southern Queensland, Queensland, Australia.ORCID 0000-0001-6064-3575
University of Southern Queensland · AUGriffith University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite evidence that e-mental health services are effective, consumer preferences still appear to be in favor of face-to-face services. However, the theory of planned behavior (TPB) suggests that cognitive intentions are more proximal to behavior and thus may have a more direct influence on service use. Investigating individual characteristics that influence both preferences and intentions to use e-mental health services is important for better understanding factors that might impede or facilitate the use of these services.

objectiveThis study explores predictors of preferences and intentions to access e-mental health services relative to face-to-face services. Five domains were investigated (demographics, technology factors, personality, psychopathology, and beliefs), identified from previous studies and informed by the Internet interventions model. We expected that more participants would report intentions to use e-mental health services relative to reported preferences for this type of support and that these 5 domains would be significantly associated with both intentions and preferences toward online services.

methodsA mixed sample of 308 community members and university students was recruited through social media and the host institution in Australia. Ages ranged between 17 and 68 years, and 82.5% (254/308) were female. Respondents completed an online survey. Chi-square analysis and t tests were used to explore group differences, and logistic regression models were employed to explore factors predicting preferences and intentions.

resultsMost respondents (85.7%, 264/308) preferred face-to-face services over e-mental health services. Relative to preferences, a larger proportion of respondents (39.6%, 122/308) endorsed intentions to use e-mental health services if experiencing mental health difficulties in the future. In terms of the 5 predictor domains, 95% CIs of odds ratios (OR) derived from bootstrapped standard errors suggested that prior experience with online services significantly predicted intentions to use self-help (95% CI 2.08-16.24) and therapist-assisted (95% CI 1.71-11.90) online services in future. Being older predicted increased intentions to use therapist-assisted online services in future (95% CI 1.01-1.06), as did more confidence using computers and the Internet (95% CI 1.06-2.69). Technology confidence was also found to predict greater preference for online services versus face-to-face options (95% CI 1.24-4.82), whereas higher doctor-related locus of control, or LOC (95% CI 0.76-0.95), and extraversion (95% CI 0.88-1.00) were predictive of lower likelihood of preferring online services relative to face-to-face services.

conclusionsDespite generally low reported preferences toward e-mental health services, intentions to access these services are higher, raising the question of how to best encourage translation of intentions into behavior (ie, actual use of programs). Strategies designed to ease people into new Internet-based mental health programs (to enhance confidence and familiarity) may be important for increasing the likelihood that they will return to such programs later.

Indexed as

AdolescentAdultAgedAttitudeFemaleHumansInternetMaleMental Health ServicesMiddle AgedSurveys and QuestionnairesYoung Adultattitudeconsumer preferenceeHealthmHealth

Identifiers

PMID29459357
PMCPMC5838359
OpenAlexW2786385874

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.