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Translating the Intention to Seek Treatment into Action: Does Symptom Monitoring Make a Difference? Results from a Randomized Controlled Trial

Published online by Cambridge University Press:  23 August 2018

R. Shafran ,
A. Gyani ,
J. Rostron ,
S. Allen ,
P. Myles-Hooton ,
H. Allcott-Watson Open the ORCID record for H. Allcott-Watson [Opens in a new window]  and
S. Rose
R. Shafran
Affiliation:
UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK
A. Gyani*
Affiliation:
School of Psychology and Clinical Language Sciences, University of Reading, Reading, Berkshire RG6 6AL, UK
J. Rostron
Affiliation:
School of Systems Engineering, University of Reading, Reading, Berkshire RG6 6AY, UK
S. Allen
Affiliation:
Department of Politics & International Relations, University of Reading, Reading, Berkshire RG6 6AA, UK
P. Myles-Hooton
Affiliation:
School of Psychology and Clinical Language Sciences, University of Reading, Reading, Berkshire RG6 6AL, UK
H. Allcott-Watson
Affiliation:
UCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK
S. Rose
Affiliation:
Berkshire Healthcare NHS Foundation Trust, 2nd, 3rd and 4th Floors Fitzwilliam House, Bracknell, Berkshire RG12 1BQ, UK
*
Correspondence to Alex Gyani, Behavioural Insights Team (Australia), Level 13, 167 Macquarie Street, Sydney, NSW 2000, Australia. E-mail: [email protected]
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Abstract

Background: Most people with common mental health problems do not seek evidence-based psychological interventions. Aims: The aim of this study was to investigate whether monitoring symptoms of depression and anxiety using an app increased treatment-seeking. Method: Three hundred and six people with significant levels of anxiety and depression, none of whom were currently receiving treatment, were randomly allocated to receive either (a) information about local psychological services only, (b) information plus regular symptom monitoring (every 6 days), or (c) information plus open symptom monitoring (monitoring when they felt like it). An app was used to provide information and monitor mood. Results: The proportion of participants who reported receiving treatment after starting the study was 7.2% (10/138) in the information only group, 8.1% (9/111) in the information plus regular monitoring group and 15.8% (9/57) in the information plus open monitoring group. There was a trend for participants who were able to monitor whenever they wished to be more likely to report receiving treatment than people who were only given information about their local treatment services. The impact of the intervention was greatest among participants who intended to seek treatment before taking part. Limitations were that only a small minority of those who downloaded the app completed the study and that the study relied on self-reported measures of treatment-seeking. Conclusions: Symptom monitoring can increase actual treatment-seeking in those with an intention to seek treatment.

Keywords

treatment seekinganxietydepressioneMental Healthmonitoring
Type
Research Article
Information
Behavioural and Cognitive Psychotherapy , Volume 47 , Issue 1 , January 2019 , pp. 114 - 128
Copyright
Copyright © British Association for Behavioural and Cognitive Psychotherapies 2018 

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Footnotes

*

Alex Gyani is now Principal Advisor (APAC Head of Research) at the Behavioural Insights Team (Australia).

References

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211. doi: 10.1016/0749-5978(91)90020-TGoogle Scholar
Brenes, G. A. (2007). Anxiety, depression, and quality of life in primary care patients. Primary Care Companion to the Journal of Clinical Psychiatry, 9, 437–443.Google Scholar
Christensen, H., Leach, L., Barney, L., Mackinnon, A. and Griffiths, K. (2006). The effect of web based depression interventions on self reported help seeking: randomised controlled trial [ISRCTN77824516]. BMC Psychiatry, 6, 13. doi: 10.1186/1471-244X-6-13Google Scholar
Connor, K. M., Kobak, K. A., Churchill, L. E., Katzelnick, D. and Davidson, J. R. (2001). Mini-SPIN: a brief screening assessment for generalized social anxiety disorder. Depression and Anxiety, 14, 137–140. doi: 10.1002/da.1055Google Scholar
Drake, G., Csipke, E. and Wykes, T. (2012). Assessing your mood online: acceptability and use of Moodscope. Psychological Medicine, 1, 1–10. doi: 10.1017/S0033291712002280Google Scholar
Eysenbach, M. (2005). The law of attrition. Journal of Medical Internet Research, 7. doi: 10.2196/jmir.7.1.e11Google Scholar
Faul, F., Erdfelder, E., Lang, A.-G. and Buchner, A. (2007). G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behaviour Research Methods and Instruments, 39, 175–191. doi: 10.3758/bf03193146Google Scholar
Fogg, B. and Eckles, D. (eds) (2007). Mobile Persuasion: 20 Perspectives on the Future of Behavior Change. Stanford: Stanford Captology Media.Google Scholar
Gulliver, A., Griffiths, K. M., Christensen, H. and Brewer, J. L. (2012). A systematic review of help-seeking interventions for depression, anxiety and general psychological distress. BMC Psychiatry,12, 81. doi: 10.1186/1471-244X-12-81Google Scholar
Gulliver, A., Griffiths, K. M. and Christensen, H. (2010). Perceived barriers and facilitators to mental health help-seeking in young people: a systematic review. BMC Psychiatry, 10, 113. doi: 10.1186/1471-244x-10-113Google Scholar
Hawton, K. and van Heeringen, K. (2009). Suicide. The Lancet, 373, 1372–1381.Google Scholar
Kessler, R. C. and Ustun, T. (2008). The WHO World Mental Health Surveys. Cambridge University Press: Cambridge.Google Scholar
Kordy, H., Hannöver, W. and Richard, M. (2001). Computer-assisted feedback-driven quality management for psychotherapy: the Stuttgart-Heidelberg Model. Journal of Consulting and Clinical Psychology, 69, 173–183. doi: 10.1037//0022-006X.69.2.173Google Scholar
Kroenke, K., Spitzer, R. L. and Williams, J. B. (2001). The PHQ-9: validity of a brief depression severity measure. Journal of General Internal Medicine, 16, 606–613. doi: 10.1046/j.1525-1497.2001.016009606.xGoogle Scholar
Kroenke, K., Spitzer, R. L., Williams, J. B. W. and Löwe, B. (2009). An ultra-brief screening scale for anxiety and depression: the PHQ-4. Psychosomatics, 50, 613–621. doi: 10.1176/appi.psy.50. 6.613Google Scholar
Kroenke, K., Spitzer, R. L., Williams, J. B. W., Monahan, P. O. and Löwe, B. (2007). Anxiety disorders in primary care: prevalence, impairment, comorbidity, and detection. Annals of Internal Medicine, 146, 317–325. doi: 10.7326/0003-4819-146-5-200703060-00004Google Scholar
Kwan, B. M., Dimidjian, S. and Rizvi, S. L. (2010). Treatment preference, engagement, and clinical improvement in pharmacotherapy versus psychotherapy for depression. Behaviour Research and Therapy, 48, 799–804. doi:10.1016/j.brat.2010.04.003Google Scholar
Lambert, M. J. (2007). Presidential address: what we have learned from a decade of research aimed at improving psychotherapy outcome in routine care. Psychotherapy Research, 17, 1–14. doi: 10.1080/10503300601032506Google Scholar
Lambert, M. J. (2013). Outcome in psychotherapy: the past and important advances. Psychotherapy, 50, 42–51. doi: 10.1037/a0030682.Google Scholar
Lambert, M. J., Whipple, J. L., Hawkins, E. J., Vermeersch, D. A., Nielsen, S. L. and Smart, D. W. (2003). Is it time for clinicians to routinely track patient outcome? A meta-analysis. Clinical Psychology: Science and Practice, 10, 288–301. doi: 10.1093/clipsy.bpg025Google Scholar
Lemeshow, S. and Hosmer, D. W. (1982). A review of goodness of fit statistics for use in the development of Logistic regression models. American Journal Epidemiology, 115, 92–106. doi: 10.1093/oxfordjournals.aje.a113284Google Scholar
Löwe, B., Wahl, I., Rose, M., Spitzer, C., Glaesmer, H., Wingenfeld, K. et al. (2010). A 4-item measure of depression and anxiety: validation and standardization of the Patient Health Questionnaire-4 (PHQ-4) in the general population. Journal of Affective Disorders, 122, 86–95. doi: 10.1016/j.jad.2009. 06.019Google Scholar
Lutz, W., Lambert, M. J., Harmon, S. C., Tschitsaz, A., Schürch, E. and Stulz, N. (2006). The probability of treatment success, failure and duration – what can be learned from empirical data to support decision making in clinical practice? Science, 232, 223–232. doi: 10.1002/cpp.496Google Scholar
Manzi, J. (2012). Uncontrolled: The Surprising Payoff of Trial-and-Error for Business, Politics, and Society. New York, NY: Basic Books.Google Scholar
McHugh, R. K., Whitton, S. W., Peckham, A. D., Welge, J. A. and Otto, M. W. (2013). Patient preference for psychological vs pharmacologic treatment of psychiatric disorders: a meta-analytic review. Journal of Clinical Psychiatry, 74, 595–602. doi: 10.4088/JCP.12r07757Google Scholar
McManus, S., Meltzer, H., Brugha, T., Bebbington, P. and Jenkins, R. (eds). (2009). Adult psychiatric morbidity in England, 2007: results of a household survey. Leeds: The NHS Information Centre for Health and Social Care.Google Scholar
National Institute for Health and Care Excellence (NICE) (2011). Common mental health disorders: identification and pathways to care (CG123). Retrieved from: http://www.nice.org.uk/nicemedia/live/13476/54604/54604.pdf (accessed 19 October 2013).Google Scholar
Noar, S. M., Benac, C. N. and Harris, M. S. (2007). Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychological Bulletin, 133, 673–693. doi: 10.1037/0033-2909.133.4.673Google Scholar
NHS Choices Reporting Team (2012). Mental Health Content Report November 2012. Retrieved from: http://www.nhs.uk/aboutNHSChoices/professionals/developments/Documents/Traffic%20reports/NHS%20Choices%20Mental%20Health%20Traffic%20-%20Nov%202012.pdf (accessed 26 July 2013).Google Scholar
Prochaska, J. O. and DiClemente, C. C. (1982). Transtheoretical therapy: toward a more integrative model of change. Psychotherapy: Theory, Research and Practice, 19, 276–288. doi: 10.1037/h0088437Google Scholar
Schomerus, G., Matschinger, H. and Angermeyer, M. (2009). Attitudes that determine willingness to seek psychiatric help for depression: a representative population survey applying the Theory of Planned Behaviour. Psychological Medicine, 39, 1855–1865. doi: 10.1017/S0033291709005832Google Scholar
Seeley-Wait, E., Abbott, M. J. and Rapee, R. M. (2009). Psychometric properties of the mini-social phobia inventory. Primary Care Companion to the Journal of Clinical Psychiatry, 11, 231–236. doi: 10.4088/PCC.07m00576Google Scholar
Shafran, R., Clark, D. M., Fairburn, C. G., Arntz, A., Barlow, D. H., Ehlers, A. et al. (2009). Mind the gap: improving the dissemination of CBT. Behaviour Research and Therapy, 47, 902–909. doi: 10.1016/j.brat.2009.07.003Google Scholar
Spitzer, R. L., Kroenke, K., Williams, J. B. W. and Löwe, B. (2006). A brief measure for assessing generalized anxiety disorder: the GAD-7. Archives of Internal Medicine, 166, 1092–1097. doi: 10.1001/archinte.166.10.1092Google Scholar
Tarrier, N., Liversidge, T. and Gregg, L. (2006). The acceptability and preference for the psychological treatment of PTSD. Behaviour Research and Rherapy, 44, 1643–1656. doi: 10.1016/j.brat.2005.11.012Google Scholar
Wang, P. S., Angermeyer, M., Borges, G., Bruffaerts, R., Chiu, W. A., De Girolamo, G. et al. (2007). Delay and failure in treatment seeking after first onset of mental disorders in the World Health Organization's World Mental Health Survey Initiative. World Psychiatry, 6, 177–185.Google Scholar
Wang, P. S., Lane, M., Olfson, M., Pincus, H. A., Wells, K. B. and Kessler, R. C. (2005). Twelve-month use of mental health services in the United States: results from the National Comorbidity Survey Replication. Archives of General Psychiatry, 62, 603–613. doi: 10.1001/archpsyc.62.6.629Google Scholar
Weeks, J. W., Spokas, M. E. and Heimberg, R. G. (2007). Psychometric evaluation of the mini-social phobia inventory (Mini-SPIN) in a treatment-seeking sample. Depression and Anxiety, 24, 382–391. doi: 10.1002/da.20250Google Scholar
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