Systematic review of patients' participation in and experiences of technology-based monitoring of mental health symptoms in the community

BMJ Open

Volumn 6, Issue 6, 2016, Pages

  Walsh, Sophie ^a   Golden, Eoin ^a   Priebe, Stefan ^a  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CINAHL; COCHRANE LIBRARY; EMBASE; HUMAN; MEDICAL TECHNOLOGY; MEDLINE; MENTAL DISEASE; MENTAL HEALTH; PATIENT MONITORING; PATIENT PARTICIPATION; PERSONAL EXPERIENCE; PRACTICE GUIDELINE; PSYCINFO; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; SYMPTOM ASSESSMENT; SYSTEMATIC REVIEW; VALIDITY; WEB OF SCIENCE; AMBULATORY MONITORING; DEVICES; EVIDENCE BASED MEDICINE; MENTAL HEALTH SERVICE; ORGANIZATION AND MANAGEMENT; PATIENT ATTITUDE; PROCEDURES; QUALITATIVE RESEARCH; QUALITY OF LIFE; STATISTICS AND NUMERICAL DATA; TELEMEDICINE; UTILIZATION;

COMMUNITY MENTAL HEALTH SERVICES; EVIDENCE-BASED MEDICINE; HUMANS; MENTAL DISORDERS; MONITORING, AMBULATORY; PATIENT ACCEPTANCE OF HEALTH CARE; PATIENT PARTICIPATION; QUALITATIVE RESEARCH; QUALITY OF LIFE; TELEMEDICINE;

EID: 84976438473     PISSN: None     EISSN: 20446055     Source Type: Journal    
DOI: 10.1136/bmjopen-2015-008362     Document Type: Article

References (83)

1. Bopp JM, Miklowitz DJ, Goodwin GM, et al. The longitudinal course of bipolar disorder as revealed through weekly text messaging: A feasibility study. Bipolar Disord 2010;12: 327-34.
2. Palmier-Claus JE, Ainsworth J, Machin M, et al. The feasibility and validity of ambulatory self-report of psychotic symptoms using a smartphone software application. BMC Psychiatry 2012;12: 172.
3. Cohen JS, Edmunds JM, Brodman DM, et al. Using self-monitoring: Implementation of collaborative empiricism in cognitive-behavioral therapy. Cogn Behav Pract 2013;20: 419-28.
4. Myin-Germeys I, Oorschot M, Collip D, et al. Experience sampling research in psychopathology: Opening the black box of daily life. Psychol Med 2009;39: 1533-47.
5. Moskowitz DS, Young SN. Ecological momentary assessment: What it is and why it is a method of the future in clinical psychopharmacology. J Psychiatry Neurosci 2006;31: 13-21.
6. Delespaul PAEG. Assessing schizophrenia in daily life: The experience sampling method: ISPER Foundation. 1995.
7. Proudfoot J. The future is in our hands: The role of mobile phones in the prevention and management of mental disorders. Aust N Z J Psychiatry 2013;47: 111-13.
8. Kobak KA, Greist JH, Jefferson JW, et al. New technologies to improve clinical trials. J Clin Psychopharmacol 2001;21: 255-6.
9. Wenze SJ, Armey MF, Miller IW. Feasibility and acceptability of a mobile intervention to improve treatment adherence in bipolar disorder: A pilot study. Behav Modif 2014;38: 497-515.
10. Palmier-Claus JE, Rogers A, Ainsworth J, et al. Integrating mobile-phone based assessment for psychosis into people's everyday lives and clinical care: A qualitative study. BMC Psychiatry 2013;13: 34.
11. Trull TJ, Ebner-Priemer U. Ambulatory assessment. Annu Rev Clin Psychol 2013;9: 151-76.
12. Christensen H, Griffiths KM, Farrer L. Adherence in internet interventions for anxiety and depression: Systematic review. J Med Internet Res 2009;11: E13.
13. Eysenbach G. The law of attrition. J Med Internet Res 2005;7: E11.
14. Waller R, Gilbody S. Barriers to the uptake of computerized cognitive behavioural therapy: A systematic review of the quantitative and qualitative evidence. Psychol Med 2009;39: 705-12.
15. Moher D, Liberati A, Tetzlaff J, et al. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Ann Intern Med 2009;151: 264-9.
16. Grey Matters: A practical deep-web search tool for evidence-based medicine. http://www.cadth.ca/en/resources/finding-evidence-is/grey-matters. July 2015.
17. Christensen H. Beacon 2.0. https://beacon.anu.edu.au/. July 2015.
18. Bauer S, Hagel J, Okon E, et al. SMS in der nachstationären Betreuung von Patientinnen mit Bulimia nervosa [Experience with the application of the short message service (SMS) in the aftercare of patients with bulimia nervosa]. Psychodynamische Psychother 2006;5: 127-36.
19. Proudfoot J, Clarke J, Birch MR, et al. Impact of a mobile phone and web program on symptom and functional outcomes for people with mild-to-moderate depression, anxiety and stress: A randomised controlled trial. BMC Psychiatry 2013;13: 312.
20. Jacobi C, Völker U, Trockel MT, et al. Effects of an internet-based intervention for subthreshold eating disorders: A randomized controlled trial. Behav Res Ther 2012;50: 93-9.
21. Bauer M, Grof P, Gyulai L, et al. Using technology to improve longitudinal studies: Self-reporting with ChronoRecord in bipolar disorder. Bipolar Disord 2004;6: 67-74.
22. Kramer I, Simons CJ, Hartmann JA, et al. A therapeutic application of the experience sampling method in the treatment of depression: A randomized controlled trial. World Psychiatry 2014;13: 68-77.
23. Popay J, Roberts H, Sowden A, et al. Guidance on the conduct of narrative synthesis in systematic reviews. A product from the ESRC methods programme. Lancaster: Institute of Health Research, 2006.
24. Thomas J, Harden A. Methods for the thematic synthesis of qualitative research in systematic reviews. BMC Med Res Methodol 2008;8: 45.
25. Kauer SD, Reid SC, Crooke AH, et al. Self-monitoring using mobile phones in the early stages of adolescent depression: Randomized controlled trial. J Med Internet Res 2012;14: E67.
26. Reid SC, Kauer SD, Hearps SJ, et al. A mobile phone application for the assessment and management of youth mental health problems in primary care: A randomised controlled trial. BMC Fam Pract 2011;12: 131.
27. Carrard I, Fernandez-Aranda F, Lam T, et al. Evaluation of a guided internet self-treatment programme for bulimia nervosa in several European countries. Eur Eat Disord Rev 2011;19: 138-49.
28. Carrard I, Rouget P, Fernández-Aranda F, et al. Evaluation and deployment of evidence based patient self-management support program for bulimia nervosa. Int J Med Inf 2006;75: 101-9.
29. Bauer M, Rasgon N, Grof P, et al. Mood changes related to antidepressants: A longitudinal study of patients with bipolar disorder in a naturalistic setting. Psychiatry Res 2005;133: 73-80.
30. Bauer M, Rasgon N, Grof P, et al. Does the use of an automated tool for self-reporting mood by patients with bipolar disorder bias the collected data? Med Gen Med 2005;7: 21.
31. Bauer M, Grof P, Rasgon N, et al. Mood charting and technology: New approach to monitoring patients with mood disorders. Curr Psychiatry Rev 2006;2: 423-9.
32. Bauer M, Grof P, Rasgon NL, et al. Self-reported data from patients with bipolar disorder: Impact on minimum episode length for hypomania. J Affect Disord 2006;96: 101-5.
33. Bauer M, Rasgon N, Grof P, et al. Do antidepressants influence mood patterns? A naturalistic study in bipolar disorder. Eur Psychiatry 2006;21: 262-9.
34. Bauer M, Glenn T, Grof P, et al. Self-reported data from patients with bipolar disorder: Frequency of brief depression. J Affect Disord 2007;101: 227-33.
35. Bauer M, Glenn T, Grof P, et al. Frequency of subsyndromal symptoms and employment status in patients with bipolar disorder. Soc Psychiatry Psychiatr Epidemiol 2009;44: 515-22.
36. Bauer M, Glenn T, Grof P, et al. Relationship between adjunctive medications for anxiety and time spent ill in patients with bipolar disorder. Int J Psychiatry Clin Pract 2009;13: 70-7.
37. Bauer M, Glenn T, Grof P, et al. The association between concurrent psychotropic medications and self-reported adherence with taking a mood stabilizer in bipolar disorder. Hum Psychopharmacol 2010;25: 47-54.
38. Bauer M, Glenn T, Rasgon N, et al. Association between age of onset and mood in bipolar disorder: Comparison of subgroups identified by cluster analysis and clinical observation. J Psychiatr Res 2010;44: 1170-5.
39. Bauer M, Glenn T, Rasgon N, et al. Association between median family income and self-reported mood symptoms in bipolar disorder. Compr Psychiatry 2011;52: 17-25.
40. Bauer M, Glenn T, Rasgon N, et al. Decreasing the minimum length criterion for an episode of hypomania: Evaluation using self-reported data from patients with bipolar disorder. Eur Arch Psychiatry Clin Neurosci 2011;261: 341-7.
41. Bauer M, Glenn T, Keil M, et al. Brief depressive symptoms in patients with bipolar disorder: Analysis of long-term self-reported data. Aust N Z J Psychiatry 2012;46: 1068-78.
42. Bauer M, Glenn T, Alda M, et al. Drug treatment patterns in bipolar disorder: Analysis of long-term self-reported data. Int J Bipolar Disord 2013;1: 5.
43. Bauer S, Moessner M, Wolf M, et al. ES S PRIT-an internet-based programme for the prevention and early intervention of eating disorders in college students. Br J Guid Couns 2009;37: 327-36.
44. Bauer S, Okon E, Meermann R, et al. Technology-enhanced maintenance of treatment gains in eating disorders: Efficacy of an intervention delivered via text messaging. J Consult Clin Psychol 2012;80: 700-6.
45. Carrard I, Crépin C, Rouget P, et al. Randomised controlled trial of a guided self-help treatment on the Internet for binge eating disorder. Behav Res Ther 2011;49: 482-91.
46. Carrard I, Crépin C, Rouget P, et al. Acceptance and efficacy of a guided Internet self-help treatment program for obese patients with binge eating disorder. Clin Pract Epidemiol Ment Health 2011;7: 8-18.
47. Drake G, Csipke E, Wykes T. Assessing your mood online: Acceptability and use of Moodscope. Psychol Med 2013;43: 1455-64.
48. Foster J, Price J, Budge K, et al. Refining a mood monitoring system for bipolar disorder: User experiences of True Colours [poster abstract]. Bipolar Disord 2011;13: 45.
49. Gulec H, Moessner M, Mezei A, et al. Internet-based maintenance treatment for patients with eating disorders. Prof Psychol Res Pr 2011;42: 479-86.
50. Gulec H, Moessner M, Túry F, et al. A randomized controlled trial of an Internet-based posttreatment care for patients with eating disorders. Telemed J E Health 2014;20: 916-22.
51. Lindenberg K, Moessner M, Harney J, et al. E-health for individualized prevention of eating disorders. Clin Pract Epidemiol Ment Health 2011;7: 74-83.
52. Matthews M, Doherty G. In the mood: Engaging teenagers in psychotherapy using mobile phones. Proceedings of the Conference on Human Factors in Computing Systems; 2011: 2947-56.
53. Meglic M, Furlan M, Kuzmanic M, et al. Feasibility of an eHealth service to support collaborative depression care: Results of a pilot study. J Med Internet Res 2010;12: E63.
54. Miklowitz DJ, Price J, Holmes EA, et al. Facilitated integrated mood management for adults with bipolar disorder. Bipolar Disord 2012;14: 185-97.
55. Ohlmer R, Jacobi C, Taylor CB. Preventing symptom progression in women at risk for AN: Results of a pilot study. Eur Eat Disord Rev 2013;21: 323-9.
56. Robinson S, Perkins S, Bauer S, et al. Aftercare intervention through text messaging in the treatment of bulimia nervosa-feasibility pilot. Int J Eat Disord 2006;39: 633-8.
57. Spaniel F, Vohlídka P, Hrdlicka J, et al. ITAREPS: Information technology aided relapse prevention programme in schizophrenia. Schizophr Res 2008;98: 312-17.
58. Burns MN, Begale M, Duffecy J, et al. Harnessing context sensing to develop a mobile intervention for depression. J Med Internet Res 2011;13: E55.
59. Depp CA, Ceglowski J, Wang VC, et al. Augmenting psychoeducation with a mobile intervention for bipolar disorder: A randomized controlled trial. J Affect Disord 2015;174: 23-30.
60. Depp CA, Mausbach B, Granholm E, et al. Mobile interventions for severe mental illness: Design and preliminary data from three approaches. J Nerv Ment Dis 2010;198: 715-21.
61. Godleski L, Cervone D, Vogel D, et al. Home telemental health implementation and outcomes using electronic messaging. J Telemed Telecare 2012;18: 17-19.
62. Granholm E, Ben-Zeev D, Link PC, et al. Mobile Assessment and Treatment for Schizophrenia (MATS): A pilot trial of an interactive text-messaging intervention for medication adherence, socialization, and auditory hallucinations. Schizophr Bull 2012;38: 414-25.
63. Hunkeler EM, Hargreaves WA, Fireman B, et al. A web-delivered care management and patient self-management program for recurrent depression: A randomized trial. Psychiatr Serv 2012;63: 1063-71.
64. Kimhy D, Corcoran C. Use of palm computer as an adjunct to cognitive-behavioural therapy with an ultra-high-risk patient: A case report. Early Interv Psychiatry 2008;2: 234-41.
65. Lieberman DZ, Kelly TF, Douglas L, et al. A randomized comparison of online and paper mood charts for people with bipolar disorder. J Affect Disord 2010;124: 85-9.
66. Macias C, Panch T, Hicks YM, et al. Using smartphone apps to promote psychiatric and physical well-being. Psychiatr Q 2015;86: 505-19.
67. Newman MG, Consoli AJ, Taylor CB. A palmtop computer program for the treatment of generalized anxiety disorder. Behav Modif 1999;23: 597-619.
68. Piette JD, Rosland AM, Marinec NS, et al. Engagement with automated patient monitoring and self-management support calls experience with a thousand chronically III patients. Med Care 2013;51: 216-23.
69. Pratt SI, Naslund JA, Wolfe RS, et al. Automated telehealth for managing psychiatric instability in people with serious mental illness. J Ment Health 2015;24: 261-5.
70. Shapiro JR, Bauer S, Andrews E, et al. Mobile therapy: Use of text-messaging in the treatment of Bulimia nervosa. Int J Eat Disord 2010;43: 513-19.
71. Smith B, Harms WD, Burres S, et al. Enhancing behavioral health treatment and crisis management through mobile ecological momentary assessment and SMS messaging. Health Informatics J 2012;18: 294-308.
72. Harrison V, Proudfoot J, Wee PP, et al. Mobile mental health: Review of the emerging field and proof of concept study. J Ment Health 2011;20: 509-24.
73. Hetrick SE, Dellosa MK, Simmons MB, et al. Development and pilot testing of an online monitoring tool of depression symptoms and side effects for young people being treated for depression. Early Interv Psychiatry 2015;9: 66-9.
74. Hareva DH, Okada H, Kitawaki T. Supportive intervention using a mobile phone in behavior modification. Acta Med Okayama 2009;63: 113-20.
75. Mays N, Pope C, Popay J. Systematically reviewing qualitative and quantitative evidence to inform management and policy-making in the health field. J Health Serv Res Policy 2005;10(Suppl 1): 6-20.
76. Ben-Zeev D, McHugo GJ, Xie H, et al. Comparing retrospective reports to real-time/real-place mobile assessments in individuals with schizophrenia and a nonclinical comparison group. Schizophr Bull 2012;38: 396-404.
77. Staring AB, Mulder CL, van der Gaag M, et al. Understanding and improving treatment adherence in patients with psychotic disorders: A review and a proposed intervention. Curr Psychiatry Rev 2006;2: 487-94.
78. DiMatteo MR, Lepper HS, Croghan TW. Depression is a risk factor for noncompliance with medical treatment: Meta-analysis of the effects of anxiety and depression on patient adherence. Arch Intern Med 2000;160: 2101-7.
79. Baumeister H, Reichler L, Munzinger M, et al. The impact of guidance on internet-based mental health interventions-A systematic review. Internet Intervent 2014;1: 205-15.
80. Ben-Zeev D, Kaiser SM, Brenner CJ, et al. Development and usability testing of FOCUS: A smartphone system for self-management of schizophrenia. Psychiatr Rehabil J 2013;36: 289-97.
81. Doherty G, Coyle D, Matthews M. Design and evaluation guidelines for mental health technologies. Interact Comput 2010;22: 243-52.
82. Hollis C, Morriss R, Martin J, et al. Technological innovations in mental healthcare: Harnessing the digital revolution. Br J Psychiatry 2015;206: 263-5.
83. Arora S, Yttri J, Nilsen W. Privacy and security in mobile health (mHealth) research. Alcohol Res 2015;36: 143-50.