The profile is currenly unclaimed by the seller. All information is provided by CB Insights.

jibbigo.com

Stage

Acquired | Acquired

About Mobile Technologies

Mobile Technologies is a developer of voice recognition and translation tools, including Jibbigo, a voice-to-voice foreign language translator for iPhones and other mobile platforms.

Mobile Technologies Headquarter Location

Pittsburgh, Pennsylvania,

United States

Predict your next investment

The CB Insights tech market intelligence platform analyzes millions of data points on venture capital, startups, patents , partnerships and news mentions to help you see tomorrow's opportunities, today.

Expert Collections containing Mobile Technologies

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Mobile Technologies is included in 1 Expert Collection, including Artificial Intelligence.

A

Artificial Intelligence

8,694 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.

Mobile Technologies Patents

Mobile Technologies has filed 15 patents.

The 3 most popular patent topics include:

  • GPS navigation devices
  • Printed circuit board manufacturing
  • Computer memory
patents chart

Application Date

Grant Date

Title

Related Topics

Status

9/4/2020

4/5/2022

Laser applications, Remote desktop, GPS navigation devices, Organic electronics, Molecular electronics

Grant

Application Date

9/4/2020

Grant Date

4/5/2022

Title

Related Topics

Laser applications, Remote desktop, GPS navigation devices, Organic electronics, Molecular electronics

Status

Grant

Latest Mobile Technologies News

Digital Community Inclusion of Individuals With Serious Mental Illness: A National Survey to Map Digital Technology Use and Community Participation Patterns in the Digital Era

Sep 21, 2021

JMIR Mental Health This paper is in the following e-collection/theme issue: February 22, 2021 . Digital Community Inclusion of Individuals With Serious Mental Illness: A National Survey to Map Digital Technology Use and Community Participation Patterns in the Digital Era Digital Community Inclusion of Individuals With Serious Mental Illness: A National Survey to Map Digital Technology Use and Community Participation Patterns in the Digital Era Authors of this article: 2Beit Ekstein, Danel Group, Haifa, Israel 3Department of Social and Behavioral Sciences, College of Public Health, Temple University, Philadelphia, PA, United States Corresponding Author: Faculty of Social Welfare and Health Sciences University of Haifa Haifa, 3498838 Abstract Background: Despite the growing interest in developing and using mobile health (mHealth) and digital technologies in mental health, little is known about the scope and nature of virtual community inclusion. Objective: The overarching goal of this study was to understand and conceptualize virtual community inclusion of individuals with serious mental illness (SMI). Specific objectives of this study were as follows: (1) mapping the prevalence, trends, and experiences related to mHealth and digital technology use among individuals with SMI; (2) comparing patterns of technology use by individuals with and those without SMI; and (3) examining whether use of mHealth and digital technologies predicts recovery among individuals with SMI. Methods: A web-based survey of technology use and virtual participation was developed and distributed among adults with and those without SMI via social media, national email discussion lists, nonprofit organizations, and advocacy groups. Results: A total of 381 adults aged 18 years or older participated in the survey, of whom 199 (52%) identified as having a SMI. Participants with SMI reported significantly greater access to technology and significantly fewer days of face-to-face participation in community activities than those without SMI. Among participants with SMI, greater technology use was positively associated with positive emotions and significantly predicted recovery. Conclusions: This study is the first to explore, map, and conceptualize virtual community inclusion among adults with SMI. Our findings indicate a gap in the literature and research on community inclusion and participation, and emphasize the need for virtual community inclusion, particularly during the COVID-19 pandemic and its future implications. JMIR Ment Health 2021;8(9):e28123 Second, 2 regression analyses were carried out with technology use for illness management as the independent variable; 1 model included negative emotions and the other included positive emotions as the dependent variables ( Figure 1 , path a). Significant and positive β weights were obtained for both negative (β=.15; P<.05) and positive emotions (β=.50; P<.001). Third, 2 multiple regression analyses were conducted to predict recovery by positive and negative emotions and technology use for illness management, respectively ( Figure 1 , path b). A negative and significant β weight was obtained between negative emotions and recovery when controlling for technology use (β=–.17; P<.05). A positive and significant β weight was obtained between positive emotions and recovery when controlling for technology use (β=.36; P<.001). A positive and significant β weight was obtained when predicting recovery with technology use as the predictor and controlling for negative emotions (β=.22; P<.01). No such result was obtained when predicting recovery with technology use as the predictor and controlling for positive emotions (β=.01; P>.05) ( Figure 1 , path c). These patterns suggest partial mediation between technology use (for illness management) and recovery when negative emotions serve as a mediator, and complete mediation in the case of positive emotions under the 4 conditions of mediation [ 39 ]. Discussion Principal Findings This study is the first to explore and conceptualize digital community inclusion among individuals with SMI. Our study focused on digital participation of adults with SMI in Israel. We compared the mHealth and digital technology use (ie, virtual participation) of adults with and those without SMI and explored whether and how participation factors predict recovery among adults with SMI. The main findings included higher rates of digital participation among individuals with SMI compared to those without SMI. In addition, greater positive emotions were noted when digital participation in the community, digital technology use, and more days of face-to-face community participation were positively related to recovery among adults with SMI. Positive emotions during digital community participation mediated the relationship between technology use (for illness management) and recovery. The findings emphasize the important role of digital participation on community inclusion of adults with SMI. Previous studies that compared digital technology use among individuals with and those without SMI have yielded contradictory findings. On one hand, lower rates of technology access and use were observed among individuals with SMI than among those from the general population [ 47 , 48 ]. On the other hand, some studies found that individuals with SMI used digital technologies at rates similar to those of the general population, and concluded that mental health problems may not be a barrier to technology use [ 14 , 49 , 50 ]. Although the aforementioned studies found similar or lower rates of technology use among individuals with SMI, our study reported a higher rate of technology use among individuals with SMI than in the general adult population. A plausible explanation for this finding is that the other findings of this study showed that adults with SMI reported significantly fewer days of participation in community activities than those without SMI. Another plausible explanation for this finding is the growing number of mental health and wellness apps available for individuals with SMI [ 51 , 52 ]. Furthermore, using digital technologies for mental health care has created a more accessible environment for people with SMI, thus enabling anonymous participation. In case they decide to disclose personal information, nonverbal and non–face-to-face communication may create a less stigmatic environment for interaction with others [ 8 , 53 , 54 ]. In addition to exploring mHealth and digital technology use among adults with SMI, this study examined whether digital community participation predicted recovery. The theoretical framework of community participation traditionally refers to face-to-face or actual participation and is defined as the empowered, self-determined choice and action among individuals to be active in valued roles in the communities of their choice [ 26 ]. According to this traditional framework, the term “community participation” includes 3 main types of participation: social (eg, attending a community event, entertaining family or friends at home, or visiting family or friends), productive (going to school to earn a degree or certificate, working for pay, and participating in volunteer activities), and leisure (going to a museum, theater or cultural event, going to a park or recreating center, and going to a restaurant) [ 41 ]. Engaging with others in the community may also reduce public stigma toward people with SMI, which in turn can contribute to their recovery [ 55 - 57 ]. However, it seems that the life domains of community participation have referred to the physical environment, while participation in the digital environment has been excluded, although the digital environment has become an integral part of our life [ 58 , 59 ] and even more so in the COVID-19 era [ 4 ]. Following the concept of recovery as a dynamic process [ 30 ], studies have indicated that social support plays a main role in an individual’s recovery [ 60 , 61 ]. Social support can be delivered not only through face-to-face interactions, as demonstrated in the traditional concept of community participation and from a distance through remote communication using digital technologies [ 62 ]. While some preliminary studies focused on the impact of social media use on face-to-face community participation among individuals with SMI [ 22 , 63 , 64 ], they have focused solely on social media and did not include mHealth and digital technologies for illness management. Moreover, recent studies have not conceptually included digital participation as part of community participation. This study has addressed this concept and theoretical gaps by exploring the predictive factors to recovery while taking into account both digital and face-to-face, in-person participation. As reported by Hendryx et al [ 65 ], involvement in a wide range of activities, whether they are more or less social in nature, physically active, or occur inside or outside of home, was related to better recovery. Hence, using digital technologies for greater involvement in physical or digital activities, whether the activities are intended for spending time alone or for contacting others socially, can empower people to manage their recovery [ 66 ]. Our findings provide further support to this argument by showing that using technology for illness management predicted recovery. Furthermore, emotional experience of technology use were found to mediate the relationship between technology use and recovery, while positive emotions completely mediated this relationship. Studies on human-computer interactions emphasize the important role of emotions in technology adoption [ 67 , 68 ]. Emotions, as a central component of attitude toward a referent, are a mental state of readiness for action, which promote behavioral activation [ 67 , 69 ]. Positive emotions are responsible for the user eventually trusting the technology and using it [ 70 ]. Limitations The study has several limitations. First, because the survey was conducted on the internet, sampling may be biased by recruiting adults who are likely to be more technologically savvy. However, we recruited adults with SMI not only through web-based groups but also in face-to-face meetings with individuals with SMI who were interested in participating, and they completed a paper-and-pencil version of the survey. This strategy enabled us to recruit a more heterogeneous sample in terms of access to technology. Second, the majority of survey respondents were young adults with only few over the age of 65 years, which could also explain the relatively high use of technology. Therefore, the results for older adults with SMI must be interpreted with caution, and future studies should target a subgroup of older adults with SMI. Lastly, although we acknowledge that poverty plays a crucial role in access to technology [ 71 , 72 ], participants in our sample enjoy the social welfare benefits provided by the In Israel Ministry of Health and the Israel National Insurance Institute. This mental health support system provides financial and rehabilitation support, including housing, education, employment, and mental health care. Therefore, although often individuals with SMI experience poverty and lack of access, respondents with SMI in our sample enjoyed social welfare benefits ( Table 1 ), which may explain their greater access to technology. Future studies should focus on evaluating the impact of poverty on digital participation and access to technology. Conclusions This study demonstrated the potential of digital community inclusion to recovery and well-being among individuals with SMI. Our findings indicate higher rates of access and use of mHealth and digital technologies among individuals with SMI than among the general population. Furthermore, our findings show that digital participation could promote recovery among adults with SMI. Accordingly, this study emphasizes the need to update and expand the definition and conceptualization of community participation, and include aspects of digital participation needs of individuals with SMI. Our findings suggest that policy makers, service users, and researchers should use existing digital technologies and design novel mHealth interventions to support the recovery process of adults with SMI. In particular, the current COVID-19 crisis poses an opportunity for mental health care systems to adopt digital technologies for service provision. In this sense, this study, conducted before the current COVID-19 pandemic, contributes to the understating that digital participation of adults with SMI is valuable to their recovery not only in crisis but also in routine. Furthermore, it is important to support the participation of individuals with SMI in the virtual environment in a manner that facilitates a positive emotional experience. Positive emotional experience while using digital technologies is a key factor in their engagement in the web-based environment and consequently in their recovery. Conflicts of Interest References Naslund JA, Marsch LA, McHugo GJ, Bartels SJ. Emerging mHealth and eHealth interventions for serious mental illness: a review of the literature. J Ment Health 2015;24(5):321-332 [ FREE Full text ] [ CrossRef ] [ Medline ] Free C, Phillips G, Galli L, Watson L, Felix L, Edwards P, et al. The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review. PLoS Med 2013;10(1):e1001362 [ FREE Full text ] [ CrossRef ] [ Medline ] Aslani N, Lazem M, Mahdavi S, Garavand A. A Review of Mobile Health Applications in Epidemic and Pandemic Outbreaks: Lessons Learned for COVID-19. Arch Clin Infect Dis 2020 Jun 02;15(4):e103649. [ CrossRef ] Torous J, Keshavan M. COVID-19, mobile health and serious mental illness. Schizophr Res 2020 Apr;218:36-37 [ FREE Full text ] [ CrossRef ] [ Medline ] World Health Organization. MHealth: New Horizons for Health Through Mobile Technologies. Geneva: World Health Organization; 2011. Tal A, Torous J. The digital mental health revolution: Opportunities and risks. Psychiatr Rehabil J 2017 Sep;40(3):263-265. [ CrossRef ] [ Medline ] Boydell K, Hodgins M, Pignatiello A, Teshima J, Edwards H, Willis D. Using technology to deliver mental health services to children and youth: a scoping review. J Can Acad Child Adolesc Psychiatry 2014 May;23(2):87-99 [ FREE Full text ] [ Medline ] 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. Schizophr Bull 2016 Mar;42(2):448-455 [ FREE Full text ] [ CrossRef ] [ Medline ] Price M, Yuen EK, Goetter EM, Herbert JD, Forman EM, Acierno R, et al. mHealth: a mechanism to deliver more accessible, more effective mental health care. Clin Psychol Psychother 2014;21(5):427-436 [ FREE Full text ] [ CrossRef ] [ Medline ] Boeh H. The effects of specific mental illness stigma beliefs on treatment seeking attitudes. Diss Abstr Int Sect B Sci Eng 2016;76(11-B(E)):555 [ FREE Full text ] Brown A, Rice SM, Rickwood DJ, Parker AG. Systematic review of barriers and facilitators to accessing and engaging with mental health care among at-risk young people. Asia Pac Psychiatry 2016 Mar;8(1):3-22. [ CrossRef ] [ Medline ] Patel V, Belkin GS, Chockalingam A, Cooper J, Saxena S, Unützer J. Grand challenges: integrating mental health services into priority health care platforms. PLoS Med 2013;10(5):e1001448 [ FREE Full text ] [ CrossRef ] [ Medline ] Corrigan PW, Druss BG, Perlick DA. The Impact of Mental Illness Stigma on Seeking and Participating in Mental Health Care. Psychol Sci Public Interest 2014 Oct;15(2):37-70. [ CrossRef ] [ Medline ] Gay K, Torous J, Joseph A, Pandya A, Duckworth K. Digital Technology Use Among Individuals with Schizophrenia: Results of an Online Survey. JMIR Ment Health 2016 May 04;3(2):e15 [ FREE Full text ] [ CrossRef ] [ Medline ] Killikelly C, He Z, Reeder C, Wykes T. Improving Adherence to Web-Based and Mobile Technologies for People With Psychosis: Systematic Review of New Potential Predictors of Adherence. JMIR Mhealth Uhealth 2017 Jul 20;5(7):e94 [ FREE Full text ] [ CrossRef ] [ Medline ] Biagianti B, Fisher M, Howard L, Rowlands A, Vinogradov S, Woolley J. Feasibility and preliminary efficacy of remotely delivering cognitive training to people with schizophrenia using tablets. Schizophr Res Cogn 2017 Dec;10:7-14 [ FREE Full text ] [ CrossRef ] [ Medline ] Fortuna KL, DiMilia PR, Lohman MC, Bruce ML, Zubritsky CD, Halaby MR, et al. Feasibility, Acceptability, and Preliminary Effectiveness of a Peer-Delivered and Technology Supported Self-Management Intervention for Older Adults with Serious Mental Illness. Psychiatr Q 2018 Jun;89(2):293-305 [ FREE Full text ] [ CrossRef ] [ Medline ] Fortuna K, Barr P, Goldstein C, Walker R, Brewer L, Zagaria A, et al. Application of Community-Engaged Research to Inform the Development and Implementation of a Peer-Delivered Mobile Health Intervention for Adults With Serious Mental Illness. J Particip Med 2019;11(1):e12380 [ FREE Full text ] [ CrossRef ] [ Medline ] Aschbrenner KA, Naslund JA, Shevenell M, Kinney E, Bartels SJ. A Pilot Study of a Peer-Group Lifestyle Intervention Enhanced With mHealth Technology and Social Media for Adults With Serious Mental Illness. J Nerv Ment Dis 2016 Jun;204(6):483-486 [ FREE Full text ] [ CrossRef ] [ Medline ] Ben-Zeev D, Buck B, Hallgren K, Drake RE. Effect of Mobile Health on In-person Service Use Among People With Serious Mental Illness. Psychiatr Serv 2019 Jun 01;70(6):507-510. [ CrossRef ] [ Medline ] Jonathan G, Carpenter-Song EA, Brian RM, Ben-Zeev D. Life with FOCUS: A qualitative evaluation of the impact of a smartphone intervention on people with serious mental illness. Psychiatr Rehabil J 2019 Jun;42(2):182-189. [ CrossRef ] [ Medline ] Brusilovskiy E, Townley G, Snethen G, Salzer M. Social media use, community participation and psychological well-being among individuals with serious mental illnesses. Computers in Human Behavior 2016 Dec;65:232-240 [ FREE Full text ] [ CrossRef ] Chang F, Coster WJ. Conceptualizing the construct of participation in adults with disabilities. Arch Phys Med Rehabil 2014 Sep;95(9):1791-1798. [ CrossRef ] [ Medline ] Chang F, Coster WJ, Helfrich CA. Community participation measures for people with disabilities: a systematic review of content from an international classification of functioning, disability and health perspective. Arch Phys Med Rehabil 2013 Apr;94(4):771-781. [ CrossRef ] [ Medline ] International Classification of Functioning, Disability and Health (ICF). APA PsycTests 2001. [ CrossRef ] Burns-Lynch B, Brusilovskiy E, Salzer MS. An Empirical Study of the Relationship Between Community Participation, Recovery, and Quality of Life of Individuals with Serious Mental Illnesses. Isr J Psychiatry Relat Sci 2016;53(1):46-54 [ FREE Full text ] [ Medline ] Mancini MA, Hardiman ER, Lawson HA. Making sense of it all: consumer providers' theories about factors facilitating and impeding recovery from psychiatric disabilities. Psychiatr Rehabil J 2005;29(1):48-55. [ CrossRef ] [ Medline ] Litwiller F, White C, Gallant KA, Gilbert R, Hutchinson S, Hamilton-Hinch B, et al. The Benefits of Recreation for the Recovery and Social Inclusion of Individuals with Mental Illness: An Integrative Review. Leis Sci 2016 May 04;39(1):1-19. [ CrossRef ] Mezzina R, Davidson L, Borg M, Marin I, Topor A, Sells D. The Social Nature of Recovery: Discussion and Implications for Practice. Am J Psychiatr Rehabil 2006 Jul;9(1):63-80. [ CrossRef ] Leonhardt B, Huling K, Hamm J, Roe D, Hasson-Ohayon I, McLeod H, et al. Recovery and serious mental illness: a review of current clinical and research paradigms and future directions. Expert Rev Neurother 2017 Nov;17(11):1117-1130. [ CrossRef ] [ Medline ] Florence AC, Miller R, Bellamy C, Bernard P, Bien C, Atterbury K, et al. When reality breaks from us: lived experience wisdom in the Covid-19 era. Psychosis 2020 Sep 10;12(4):363-367. [ CrossRef ] Piguillem F, Shi L. The Optimal COVID-19 Quarantine and Testing Policies. IDEAS. 2020. URL: https://ideas.repec.org/p/eie/wpaper/2004.html [accessed 2021-08-24] Mann DM, Chen J, Chunara R, Testa PA, Nov O. COVID-19 transforms health care through telemedicine: Evidence from the field. J Am Med Inform Assoc 2020 Jul 01;27(7):1132-1135 [ FREE Full text ] [ CrossRef ] [ Medline ] Taylor CB, Fitzsimmons-Craft EE, Graham AK. Digital technology can revolutionize mental health services delivery: The COVID-19 crisis as a catalyst for change. Int J Eat Disord 2020 Jul;53(7):1155-1157 [ FREE Full text ] [ CrossRef ] [ Medline ] Waller G, Pugh M, Mulkens S, Moore E, Mountford VA, Carter J, et al. Cognitive-behavioral therapy in the time of coronavirus: Clinician tips for working with eating disorders via telehealth when face-to-face meetings are not possible. Int J Eat Disord 2020 Jul;53(7):1132-1141 [ FREE Full text ] [ CrossRef ] [ Medline ] Portnoy J, Waller M, Elliott T. Telemedicine in the Era of COVID-19. J Allergy Clin Immunol Pract 2020 May;8(5):1489-1491 [ FREE Full text ] [ CrossRef ] [ Medline ] Nagata S, Townley G, Brusilovskiy E, Salzer MS. Community Participation Differences Between Adults With or Without Serious Mental Illness. Psychiatr Serv 2020 Nov 01;71(11):1191-1194. [ CrossRef ] [ Medline ] Corrigan PW, Giffort D, Rashid F, Leary M, Okeke I. Recovery as a psychological construct. Community Ment Health J 1999 Jun;35(3):231-239. [ CrossRef ] [ Medline ] Salzer MS, Brusilovskiy E. Advancing recovery science: reliability and validity properties of the Recovery Assessment Scale. Psychiatr Serv 2014 Apr 01;65(4):442-453. [ CrossRef ] [ Medline ] Roe D, Mashiach-Eizenberg M, Corrigan P. Confirmatory factor analysis of the brief version of the recovery assessment scale. J Nerv Ment Dis 2012 Oct;200(10):847-851. [ CrossRef ] [ Medline ] Chang F, Coster WJ, Salzer MS, Brusilovskiy E, Ni P, Jette AM. A multidimensional measure of participation for adults with serious mental illnesses. Disabil Rehabil 2016;38(7):695-703. [ CrossRef ] [ Medline ] Behind the Term: Serious Mental Illness. Center for Homeland Defense and Security. 2016. URL: https://www.hsdl.org/?abstract&did=801613 [accessed 2021-08-24] Aviram U, Ginath Y, Roe D. Mental health reforms in Europe: Israel's rehabilitation in the community of persons with mental disabilities law: challenges and opportunities. Psychiatr Serv 2012 Feb 01;63(2):110-112. [ CrossRef ] [ Medline ] Martínez-Martínez C, Richart-Martínez M, Ramos-Pichardo JD. Operational Definition of Serious Mental Illness: Heterogeneity in a Review of the Research on Quality-of-Life Interventions. J Am Psychiatr Nurses Assoc 2020;26(3):229-244. [ CrossRef ] [ Medline ] Drake R, Nordentoft M, Haddock G, Arango C, Fleischhacker WW, Glenthøj B, et al. Modeling determinants of medication attitudes and poor adherence in early nonaffective psychosis: implications for intervention. Schizophr Bull 2015 May;41(3):584-596 [ FREE Full text ] [ CrossRef ] [ Medline ] Schizophrenia. World Health Organization. 2019. URL: https://www.who.int/news-room/fact-sheets/detail/schizophrenia [accessed 2021-08-24] Ben-Zeev D, Davis KE, Kaiser S, Krzsos I, Drake RE. Mobile technologies among people with serious mental illness: opportunities for future services. Adm Policy Ment Health 2013 Jul;40(4):340-343 [ FREE Full text ] [ CrossRef ] [ Medline ] Abu Rahal Z, Vadas L, Manor I, Bloch B, Avital A. Use of information and communication technologies among individuals with and without serious mental illness. Psychiatry Res 2018 Aug;266:160-167. [ CrossRef ] [ Medline ] Trefflich F, Kalckreuth S, Mergl R, Rummel-Kluge C. Psychiatric patients' internet use corresponds to the internet use of the general public. Psychiatry Res 2015 Mar 30;226(1):136-141. [ CrossRef ] [ Medline ] Bauer R, Conell J, Glenn T, Alda M, Ardau R, Baune BT, et al. Internet use by patients with bipolar disorder: Results from an international multisite survey. Psychiatry Res 2016 Aug 30;242:388-394. [ CrossRef ] [ Medline ] Radovic A, Vona PL, Santostefano AM, Ciaravino S, Miller E, Stein BD. Smartphone Applications for Mental Health. Cyberpsychol Behav Soc Netw 2016 Jul;19(7):465-470 [ FREE Full text ] [ CrossRef ] [ Medline ] Hind J, Sibbald S. Smartphone Applications for Mental Health—A Rapid Review. WURJ:HNS 2014 Nov 03;5(1):1-9. [ CrossRef ] Highton-Williamson E, Priebe S, Giacco D. Online social networking in people with psychosis: A systematic review. Int J Soc Psychiatry 2015 Feb;61(1):92-101. [ CrossRef ] [ Medline ] 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 [ FREE Full text ] [ CrossRef ] [ Medline ] Corrigan PW, Morris SB, Michaels PJ, Rafacz JD, Rüsch N. Challenging the public stigma of mental illness: a meta-analysis of outcome studies. Psychiatr Serv 2012 Oct;63(10):963-973. [ CrossRef ] [ Medline ] Zisman-Ilani Y, Lysaker PH, Hasson-Ohayon I. Shared Risk Taking: Shared Decision Making in Serious Mental Illness. Psychiatr Serv 2021 Apr 01;72(4):461-463. [ CrossRef ] [ Medline ] Zisman-Ilani Y, Roth RM, Mistler LA. Time to Support Extensive Implementation of Shared Decision Making in Psychiatry. JAMA Psychiatry 2021 Aug 18. [ CrossRef ] [ Medline ] Bargh JA, McKenna KYA. The internet and social life. Annu Rev Psychol 2004;55:573-590. [ CrossRef ] [ Medline ] Gil H, Jung N. Social Media Use for News and Individuals’ Social Capital, Civic Engagement and Political Participation. J Comput-Mediat Comm 2012;17(3):336. [ CrossRef ] Onken SJ, Craig CM, Ridgway P, Ralph RO, Cook JA. An analysis of the definitions and elements of recovery: a review of the literature. Psychiatr Rehabil J 2007;31(1):9-22. [ CrossRef ] [ Medline ] Corrigan PW, Phelan SM. Social support and recovery in people with serious mental illnesses. Community Ment Health J 2004 Dec;40(6):513-523. [ CrossRef ] [ Medline ] Utz S, Breuer J. The Relationship Between Use of Social Network Sites, Online Social Support, and Well-Being: Results From a Six-Wave Longitudinal Study. J Media Psychol 2017;29(3):115-125 [ FREE Full text ] [ CrossRef ] [ Medline ] Snethen G, Zook P. Utilizing social media to support community integration. Am J Psychiatr Rehabil 2016 Jun 10;19(2):160-174. [ CrossRef ] Veretilo P, Billick SB. Psychiatric illness and facebook: a case report. Psychiatr Q 2012 Sep;83(3):385-389. [ CrossRef ] [ Medline ] Hendryx M, Green CA, Perrin NA. Social support, activities, and recovery from serious mental illness: STARS study findings. J Behav Health Serv Res 2009 Jul;36(3):320-329 [ FREE Full text ] [ CrossRef ] [ Medline ] Noel VA, Acquilano SC, Carpenter-Song E, Drake RE. Use of Mobile and Computer Devices to Support Recovery in People With Serious Mental Illness: Survey Study. JMIR Ment Health 2019 Feb 20;6(2):e12255 [ FREE Full text ] [ CrossRef ] [ Medline ] Wan NW, Nazlan M. The impact of Persuasive Technology on User Emotional Experience and User Experience Over Time. J Chem Inf Model 2019;53(9):1689-1699. [ CrossRef ] Partala T, Kallinen A. Understanding the most satisfying and unsatisfying user experiences: Emotions, psychological needs, and context. Interact Comput 2012 Jan;24(1):25-34. [ CrossRef ] Bohner G, Dickel N. Attitudes and attitude change. Annu Rev Psychol 2011;62:391-417. [ CrossRef ] [ Medline ] Hassenzahl M, Tractinsky N. User experience - a research agenda. Behav Inf Technol 2006 Mar;25(2):91-97. [ CrossRef ] Zisman-Ilani Y, Gorbenko KO, Shern D, Elwyn G. Comparing Digital vs Paper Decision Aids about the Use of Antipsychotic Medication: Client, Clinician, Caregiver and Administrator Perspectives. IJPCM 2017 Jul 13;7(1):21-30. [ CrossRef ] Greer B, Robotham D, Simblett S, Curtis H, Griffiths H, Wykes T. Digital Exclusion Among Mental Health Service Users: Qualitative Investigation. J Med Internet Res 2019 Jan 09;21(1):e11696 [ FREE Full text ] [ CrossRef ] [ Medline ] ‎

Discover the right solution for your team

The CB Insights tech market intelligence platform analyzes millions of data points on vendors, products, partnerships, and patents to help your team find their next technology solution.

Request a demo

CBI websites generally use certain cookies to enable better interactions with our sites and services. Use of these cookies, which may be stored on your device, permits us to improve and customize your experience. You can read more about your cookie choices at our privacy policy here. By continuing to use this site you are consenting to these choices.