Community attitudes to the appropriation of mobile phones for monitoring and managing depression, anxiety, and stress

Judith Proudfoot, Gordon Parker, Dusan Hadzi Pavlovic, Vijaya Manicavasagar, Einat Adler, Alexis Whitton, Judith Proudfoot, Gordon Parker, Dusan Hadzi Pavlovic, Vijaya Manicavasagar, Einat Adler, Alexis Whitton

Abstract

Background: The benefits of self-monitoring on symptom severity, coping, and quality of life have been amply demonstrated. However, paper and pencil self-monitoring can be cumbersome and subject to biases associated with retrospective recall, while computer-based monitoring can be inconvenient in that it relies on users being at their computer at scheduled monitoring times. As a result, nonadherence in self-monitoring is common. Mobile phones offer an alternative. Their take-up has reached saturation point in most developed countries and is increasing in developing countries; they are carried on the person, they are usually turned on, and functionality is continually improving. Currently, however, public conceptions of mobile phones focus on their use as tools for communication and social identity. Community attitudes toward using mobile phones for mental health monitoring and self-management are not known.

Objective: The objective was to explore community attitudes toward the appropriation of mobile phones for mental health monitoring and management.

Methods: We held community consultations in Australia consisting of an online survey (n = 525), focus group discussions (n = 47), and interviews (n = 20).

Results: Respondents used their mobile phones daily and predominantly for communication purposes. Of those who completed the online survey, the majority (399/525 or 76%) reported that they would be interested in using their mobile phone for mental health monitoring and self-management if the service were free. Of the 455 participants who owned a mobile phone or PDA, there were no significant differences between those who expressed interest in the use of mobile phones for this purpose and those who did not by gender (χ2(1), = 0.98, P = .32, phi = .05), age group (χ2(4), = 1.95, P = .75, phi = .06), employment status (χ2(2), = 2.74, P = .25, phi = .08) or marital status (χ2(4), = 4.62, P = .33, phi = .10). However, the presence of current symptoms of depression, anxiety, or stress affected interest in such a program in that those with symptoms were more interested (χ(2) (1), = 16.67, P < .001, phi = .19). Reasons given for interest in using a mobile phone program were that it would be convenient, counteract isolation, and help identify triggers to mood states. Reasons given for lack of interest included not liking to use a mobile phone or technology, concerns that it would be too intrusive or that privacy would be lacking, and not seeing the need. Design features considered to be key by participants were enhanced privacy and security functions including user name and password, ease of use, the provision of reminders, and the availability of clear feedback.

Conclusions: Community attitudes toward the appropriation of mobile phones for the monitoring and self-management of depression, anxiety, and stress appear to be positive as long as privacy and security provisions are assured, the program is intuitive and easy to use, and the feedback is clear.

Conflict of interest statement

The myCompass program is being developed at the Black Dog Institute.

Figures

Figure 1
Figure 1
Most common uses of mobile phones by online survey respondents
Figure 2
Figure 2
Most common uses of the Internet on mobile phones
Figure 3
Figure 3
Preferred functionality of program: online survey respondents
Figure 4
Figure 4
Most preferred modes of feedback from program among online survey respondents
Figure 5
Figure 5
Most preferred formats of feedback among online survey respondents

References

    1. Thiele C, Laireiter AR, Baumann U. Diaries in clinical psychology and psychotherapy: a selective review. Clin Psychol Psychot. 2002;9:1–37. doi: 10.1002/cpp.302.
    1. Proudfoot J, Nicholas J. Monitoring and evaluation in low intensity CBT interventions. In: Bennett-Levy J, Richards D, Farrand P, Christensen H, Griffiths K, Kavanagh DJ, Klein B, Lau M, Proudfoot J, editors. Oxford Guide to Low Intensity CBT Interventions (Oxford Guides in Cognitive Behavioural Therapy) Oxford, England: Oxford University Press; 2010.
    1. Stone AA, Shiffman S, Schwartz JE, Broderick JE, Hufford MR. Patient non-compliance with paper diaries. BMJ. 2002 May 18;324(7347):1193–4.
    1. Smyth J, Stone A. Ecological momentary assessment research in behavioural medicine. J Happiness Stud. 2003;4:35–52. doi: 10.1023/A:1023657221954.
    1. Collins RL, Kashdan TB, Gollnisch G. The feasibility of using cellular phones to collect ecological momentary assessment data: application to alcohol consumption. Exp Clin Psychopharmacol. 2003 Feb;11(1):73–8.
    1. Gee P, Coventry KR, Birkenhead D. Mood state and gambling: using mobile telephones to track emotions. Br J Psychol. 2005 Feb;96(Pt 1):53–66. doi: 10.1348/000712604X15536.
    1. Sorbi MJ, Mak SB, Houtveen JH, Kleiboer AM, van Doornen LJ. Mobile Web-based monitoring and coaching: feasibility in chronic migraine. J Med Internet Res. 2007;9(5):e38. doi: 10.2196/jmir.9.5.e38. v9i5e38
    1. Hurling R, Catt M, Boni MD, Fairley BW, Hurst T, Murray P, Richardson A, Sodhi JS. Using internet and mobile phone technology to deliver an automated physical activity program: randomized controlled trial. J Med Internet Res. 2007;9(2):e7. doi: 10.2196/jmir.9.2.e7. v9i2e7
    1. Whittaker R, Maddison R, McRobbie H, Bullen C, Denny S, Dorey E, Ellis-Pegler M, van Rooyen J, Rodgers A. A multimedia mobile phone-based youth smoking cessation intervention: findings from content development and piloting studies. J Med Internet Res. 2008;10(5):e49. doi: 10.2196/jmir.1007. v10i5e49
    1. Joo NS, Kim BT. Mobile phone short message service messaging for behaviour modification in a community-based weight control programme in Korea. J Telemed Telecare. 2007;13(8):416–20. doi: 10.1258/135763307783064331.
    1. Pinnock H, Slack R, Pagliari C, Price D, Sheikh A. Professional and patient attitudes to using mobile phone technology to monitor asthma: questionnaire survey. Prim Care Respir J. 2006 Aug;15(4):237–45. doi: 10.1016/j.pcrj.2006.03.001. S1471-4418(06)00051-X
    1. Salovaara A. Inventing new uses for tools: a cognitive foundation for studies on appropriation. Human Technology. 2008;4(2):209–228.
    1. QuestionPro website. [2010-01-12].
    1. Black Dog Institute website. [2010-01-07].
    1. Denzin NK, Lincoln YS. The SAGE Handbook of Qualitative Research. Thousand Oaks, CA: Sage Publications; 2005.
    1. Braun V, Clarke V. Using thematic analysis in psychology. Qualitative Research in Psychology. 2006;3(2):77–101. doi: 10.1191/1478088706qp063oa.
    1. Slade T, Johnston A, Teesson M, Whiteford H, Burgess P, Pirkis J, Saw S. Australian Government, Department of Health and Ageing. 2009. [2010-09-24]. The Mental Health of Australians 2. Report on the 2007 National Survey of Mental Health and Wellbeing .
    1. Schonlau M, van Soest A, Kapteyn A, Couper M. Selection bias in web surveys and the use of propensity scores. Sociol Methods Res. 2009;37(3):291–318. doi: 10.1177/0049124108327128.

Source: PubMed

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