A Survey of Online and Mobile Technology Use at Peer Support Agencies
Open accessAbstract
Understanding how individuals with mental illness who receive services at peer support agencies use technology can inform the development of online and mobile health interventions tailored for users in these non-traditional mental health settings. The purpose of this study was to assess the use of technology among individuals with mental illness at peer support agencies. A survey delivered within peer support agencies (PSAs) in one state assessed technology use among individuals ages 18 and over with a self-identified mental illness receiving services at these agencies. In total, 195 individuals from 10 PSAs completed the survey. Eighty-two percent of respondents used the internet, with 63% of respondents connected to the internet at the PSAs. Eighty one percent of respondents owned a cell phone, 70% used text messaging, 58% owned smartphones, 61% used mobile applications, and 72% used social media. PSA users under age 55 were significantly more likely to own a smartphone than PSA users age 55 and older. Among internet users, 71% had searched for health information online and 57% had searched for mental health information online. Many individuals who receive services at PSAs have access to online and mobile technologies. These technologies may be leveraged to expand the reach of evidence-based health and mental health programs to individuals in these non-traditional mental health settings. Future research should explore the feasibility of intervention strategies that involve PSAs as a resource for linking people with mental illness to online and mobile support for their health and wellness goals.
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Individuals living with a range of mental disorders, including depression, psychotic disorders, or other severe mental illnesses, use social media platforms at comparable rates as the general population, with use ranging from about 70% among middle-age and older individuals to upwards of 97% among younger individuals.
“Studies have reported that individuals living with a range of mental disorders, including depression, psychotic disorders, or other severe mental illnesses, use social media platforms at comparable rates as the general population”
From Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice (2020) · cites this paper as Aschbrenner, Naslund, Grinley, et al., 2018
The Results and Discussion report that social media use among peer support agency users with mental illness was comparable to use in the general adult population; the Discussion gives a rate of 72%. Our copy does not establish the claimed range up to 97% among younger people or comparable rates separately for depression and psychotic disorders. The supplied verbatim citing sentence does not include the age-specific percentages. (LLM, conf=0.86)
Experimental — accuracy not yet measuredAmong middle-age and older individuals with mental illness accessing services at peer support agencies, 72% reported using social media.
“Comparable findings were demonstrated among middle-age and older individuals with mental illness accessing services at peer support agencies, where 72% of respondents reported using social media (Aschbrenner, Naslund, Grinley, et al., 2018).”
From Social Media and Mental Health: Benefits, Risks, and Opportunities for Research and Practice (2020) · cites this paper as Aschbrenner, Naslund, Grinley, et al., 2018
The Discussion reports that 72% of peer support agency respondents used social media. However, the Abstract Methods describes the survey population as adults aged 18 and over; the 72% figure is not reported specifically for middle-aged and older respondents. (LLM, conf=0.87)
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References 27 · Cited by 26
Research works printed but not linked: 20
- [5]Bonevski B Randell M Paul C Chapman K Twyman L Bryant J Reaching the hard-to-reach: a systematic review of strategies for improving health and medical research with socially disadvantaged groups BMC Medical Research Methodology 2014 14 42 10.1186/1471-2288-14-42 24669751 PMC3974746 · DOI
- [7]Naslund JA Aschbrenner KA Araya R Marsch LA Unützer J Patel V Digital technology for treating and preventing mental disorders in low-income and middle-income countries: a narrative review of the literature The Lancet Psychiatry 2017 4 6 486 500 28433615 PMC5523650
- [8]Firth J Cotter J Torous J Bucci S Firth JA Yung AR Mobile Phone Ownership and Endorsement of “mHealth” Among People With Psychosis: A Meta-analysis of Cross-sectional Studies Schizophrenia bulletin 2016 42 2 448 55 10.1093/schbul/sbv132 26400871 PMC4753601 · DOI · Paper page
- [13]Goldstrom ID Campbell J Rogers JA Lambert DB Blacklow B Henderson MJ National estimates for mental health mutual support groups, self-help organizations, and consumer-operated services Administration and policy in mental health 2006 33 1 92 103 10.1007/s10488-005-0019-x 16240075 · DOI
- [14]Segal SP Hayes SL Consumer-run services research and implications for mental health care Epidemiology and psychiatric sciences 2016 25 5 410 6 10.1017/s2045796016000287 27118346 PMC7048404 · DOI
- [15]Naslund JA Aschbrenner KA Marsch LA Bartels SJ Feasibility and acceptability of Facebook for health promotion among people with serious mental illness Digital health 2016 2 10.1177/2055207616654822 PMC5370548 28367321 · DOI
- [16]Aschbrenner KA Naslund JA Bartels SJ Technology-Supported Peer-to-Peer Intervention for People With Serious Mental Illness Psychiatric services (Washington, DC) 2016 67 8 928 9 10.1176/appi.ps.670801 27476896 · DOI
- [17]Brunette MF Ferron JC McHugo GJ Davis KE Devitt TS Wilkness SM An electronic decision support system to motivate people with severe mental illnesses to quit smoking Psychiatric services (Washington, DC) 2011 62 4 360 6 10.1176/ps.62.4.pss6204_0360 21459986 · DOI
- [18]Brunette MF Gunn W Alvarez H Finn PC Geiger P Ferron JC A pre-post pilot study of a brief, web-based intervention to engage disadvantaged smokers into cessation treatment Addiction science & clinical practice 2015 10 3 10.1186/s13722-015-0026-5 25638283 PMC4410579 · DOI
- [19]Brunette MF Aschbrenner KA Ferron JC Ustinich L Kelly M Grinley T Use of Computers and Internet Among People With Severe Mental Illnesses at Peer Support Centers Psychiatric rehabilitation journal 2017 10.1037/prj0000247 28182473 · DOI
- [20]Glick G Druss B Pina J Lally C Conde M Use of mobile technology in a community mental health setting Journal of telemedicine and telecare 2015 10.1177/1357633x15613236 26519378 · DOI · Paper page
- [22]Villani M Kovess-Masfety V How Do People Experiencing Schizophrenia Spectrum Disorders or Other Psychotic Disorders Use the Internet to Get Information on Their Mental Health? Literature Review and Recommendations JMIR Mental Health 2017 4 1 e1 10.2196/mental.5946 28049620 PMC5241504 · DOI
- [23]Fahy E Hardikar R Fox A Mackay S Quality of patient health information on the Internet: reviewing a complex and evolving landscape The Australasian Medical Journal 2014 7 1 24 8 10.4066/AMJ.2014.1900 24567763 PMC3920473 · DOI
- [24]Naslund JA Aschbrenner KA Marsch LA Bartels SJ The future of mental health care: peer-to-peer support and social media Epidemiology and psychiatric sciences 2016 25 2 113 22 10.1017/s2045796015001067 26744309 PMC4830464 · DOI · Paper page
- [25]Naslund JA Grande SW Aschbrenner KA Elwyn G Naturally occurring peer support through social media: the experiences of individuals with severe mental illness using YouTube PLoS One 2014 9 10 e110171 10.1371/journal.pone.0110171 25333470 PMC4198188 · DOI · Paper page
- [26]Parikh SV Huniewicz P E-health: an overview of the uses of the Internet, social media, apps, and websites for mood disorders Current opinion in psychiatry 2015 28 1 13 7 10.1097/yco.0000000000000123 25420193 · DOI
- [27]Valimaki M Athanasopoulou C Lahti M Adams CE Effectiveness of Social Media Interventions for People With Schizophrenia: A Systematic Review and Meta-Analysis Journal of medical Internet research 2016 18 4 e92 10.2196/jmir.5385 27105939 PMC4859871 · DOI
- [29]Kelly E Fulginiti A Pahwa R Tallen L Duan L Brekke JS A pilot test of a peer navigator intervention for improving the health of individuals with serious mental illness Community mental health journal 2014 50 4 435 46 10.1007/s10597-013-9616-4 23744292 · DOI
- [30]Corrigan PW Pickett S Schmidt A Stellon E Hantke E Kraus D Peer navigators to promote engagement of homeless African Americans with serious mental illness in primary care Psychiatry research 2017 255 101 3 10.1016/j.psychres.2017.05.020 28535474 PMC5545154 · DOI
- [31]Corrigan PW Kraus DJ Pickett SA Schmidt A Stellon E Hantke E Using Peer Navigators to Address the Integrated Health Care Needs of Homeless African Americans With Serious Mental Illness Psychiatric services (Washington, DC) 2017 68 3 264 70 10.1176/appi.ps.201600134 PMC5371353 28093056 · DOI
- Authors
- Aschbrenner, K. A., Naslund, J. A., Grinley, T., Bienvenida, J. C. M., Bartels, S. J., & Brunette, M.
- Affiliations
- Dartmouth College (US)
- Harvard University (US)
- New Hampshire Department of Health and Human Services (US)
- Corresponding author
- Aschbrenner, Kelly A.
- Venue
- Psychiatric Quarterly
- Published
- 2018-01-04
- Volume
- 89
- Issue
- 3
- Pages
- 539-548
- ISSN
- 0033-2720 (ISSN-L)
- 1573-6709
- PMC
- PMC6217798
- OpenAlex
- W2781899164
- Cited by
- 26
- References
- 27
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 1 · 2023: 8 · 2022: 1 · 2021: 4 · 2020: 4 · 2019: 2 · 2018: 3
- FWCI
- 4.10
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Psychiatric Quarterly (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Centers for Disease Control and Prevention (U48DP005018)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mental Health and Patient Involvement
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- mental illness, technology use, mobile health, online health information seeking, smartphone ownership, social media use, text messaging, mobile application, internet access
- MeSH terms
- Peer Influence, Adolescent, Adult, Age Factors, Aged, Mental Disorders, Humans, Middle Aged, Surveys and Questionnaires, Social Support, Internet, Young Adult, Mobile Applications
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