Preferences for Internet-Based Mental Health Interventions in an Adult Online Sample: Findings From an Online Community Survey
Open accessAbstract
Background: Despite extensive evidence that Internet interventions are effective in treating mental health problems, uptake of Internet programs is suboptimal. It may be possible to make Internet interventions more accessible and acceptable through better understanding of community preferences for delivery of online programs. Objective: This study aimed to assess community preferences for components, duration, frequency, modality, and setting of Internet interventions for mental health problems. Methods: A community-based online sample of 438 Australian adults was recruited using social media advertising and administered an online survey on preferences for delivery of Internet interventions, along with scales assessing potential correlates of these preferences. Results: Participants reported a preference for briefer sessions, although they recognized a trade-off between duration and frequency of delivery. No clear preference for the modality of delivery emerged, although a clear majority preferred tailored programs. Participants preferred to access programs through a computer rather than a mobile device. Although most participants reported that they would seek help for a mental health problem, more participants had a preference for face-to-face sources only than online programs only. Younger, female, and more educated participants were significantly more likely to prefer Internet delivery. Conclusions: Adults in the community have a preference for Internet interventions with short modules that are tailored to individual needs. Individuals who are reluctant to seek face-to-face help may also avoid Internet interventions, suggesting that better implementation of existing Internet programs requires increasing acceptance of Internet interventions and identifying specific subgroups who may be resistant to seeking help.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Some individuals may prefer to seek help for mental health concerns online rather than through in-person encounters.
“while other studies have found that some individuals may prefer to seek help for mental health concerns online rather than through in-person encounters (Batterham & Calear, 2017).”
From Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice (2020) · cites this paper as Batterham & Calear, 2017
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
No citation lists for this paper
No citation lists for this paper yet — checked again daily.
References 35 · Cited by 161
Research works printed but not linked: 11
- [1]Calear PJ Sunderland M Calear AL Davey CG Christensen H Teesson M Kay-Lambkin F Andrews G Mitchell PB Herrman H Butow PN Krouskos D Developing a roadmap for the translation of e-mental health services for depression Aust N Z J Psychiatry 2015 9 49 9 776 784 10.1177/0004867415582054 25907269 25907269 · DOI · Paper page
- [5]Perry Y Werner-Seidler A Calear AL Christensen H Web-based and mobile suicide prevention interventions for young people: a systematic review J Can Acad Child Adolesc Psychiatry 2016 25 2 73 79 27274742 27274742 PMC4879946
- [6]Christensen H Calear AlL Van Spijker B Gosling J Petrie K Donker T Fenton K Psychosocial interventions for suicidal ideation, plans, and attempts: a database of randomised controlled trials BMC Psychiatry 2014 3 25 14 86 10.1186/1471-244X-14-86 24661473 24661473 PMC3987830 · DOI
- [10]Liu C White RW Dumais S Understanding web browsing behaviors through Weibull analysis of dwell time Proceedings of the 33rd international ACM SIGIR conference on Research and Development in Information Retrieval 2010 10 01 SIGIR '10: 33rd international ACM SIGIR conference on Research and Development in Information Retrieval Jul 19-23, 2010 Geneva, Switzerland 379 386
- [11]comScore 2014 2017-03-20 comScore Releases January 2014 US Online Video Rankings http://www.comscore.com/Insights/Press-Releases/2014/2/comScore-Releases-January-2014-US-Online-Video-Rankings
- [12]Becker D Dwyer M The impact of student verbal/visual learning style preference on implementing groupware in the classroom. Journal of Asynchronous Learning Networks J Async Learn Network 1998 2 2 61 69
- [18]Ellis L Collin P Hurley P Davenport T Burns J Hickie I Young men's attitudes and behaviour in relation to mental health and technology: implications for the development of online mental health services BMC Psychiatry 2013 4 20 13 119 10.1186/1471-244X-13-119 23601273 23601273 PMC3651363 · DOI · Paper page
- [26]Mangham L Hanson K McPake B How to do (or not to do)...Designing a discrete choice experiment for application in a low-income country Health Policy Plan 2009 3 24 2 151 158 10.1093/heapol/czn047 19112071 19112071 · DOI
- [27]Ryan M Bate A Eastmond C Ludbrook A Use of discrete choice experiments to elicit preferences Qual Health Care 2001 9 10 Suppl 1 i55 i60 11533440 11533440 PMC1765744
- [30]van Spijker BA Batterham P Calear A Farrer L Christensen H Reynolds J Kerkhof AJ The suicidal ideation attributes scale (SIDAS): Community-based validation study of a new scale for the measurement of suicidal ideation Suicide Life Threat Behav 2014 8 44 4 408 419 10.1111/sltb.12084 24612048 24612048 · DOI · Paper page
- [31]Calear AL Batterham PJ Christensen H Predictors of help-seeking for suicidal ideation in the community: risks and opportunities for public suicide prevention campaigns Psychiatry Res 2014 11 30 219 3 525 530 10.1016/j.psychres.2014.06.027 25048756 25048756 · DOI
- Authors
- Batterham, P. J., & Calear, A. L.
- Affiliations
- Australian National University (AU)
- Corresponding author
- Batterham, Philip J
- Venue
- JMIR Mental Health
- Publisher
- JMIR Publications Inc.
- Published
- 2017-06-30
- Volume
- 4
- Issue
- 2
- Pages
- e26
- ISSN
- 2368-7959 (ISSN-L)
- PMC
- PMC5511366
- OpenAlex
- W2725890240
- Cited by
- 161
- References
- 35
- Citations by year
- 2026: 14 · 2025: 19 · 2024: 15 · 2023: 25 · 2022: 24 · 2021: 20 · 2020: 20 · 2019: 10 · 2018: 13 · 2017: 1
- FWCI
- 13.69
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JMIR Mental Health (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- ANU Open Research (Australian National University) (submittedVersion, cc-by)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Keywords
- online intervention, user preferences, help-seeking, personalized interventions, delivery modality, mobile device use, help-seeking barriers, mental health service utilization
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review