A systematic review of the psychometric properties, usability and clinical impacts of mobile mood-monitoring applications in young people

Psychological Medicine

Volumn 48, Issue 2, 2018, Pages 208-228

  Dubad, M ^a   Winsper, C ^a   Meyer, C ^a,b   Livanou, M ^a   Marwaha, S ^a,c  

^a UNIVERSITY OF WARWICK   (United Kingdom)

^b UNIVERSITY OF WARWICK   (United Kingdom)

^c University of Warwick and Coventry and Warwickshire Partnership NHS Trust   (United Kingdom)

Author keywords

Ecological momentary assessment; mental health; mhealth; mobile application; mood; mood monitoring; young people

Indexed keywords

ADOLESCENT; ADULT; AFFECT; CHILD; COMPUTER ASSISTED DIAGNOSIS; DEVICES; FEMALE; HUMAN; MALE; MENTAL DISEASE; MOBILE APPLICATION; PSYCHOMETRY; STANDARDS; UTILIZATION; YOUNG ADULT;

ADOLESCENT; ADULT; AFFECT; CHILD; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; MALE; MENTAL DISORDERS; MOBILE APPLICATIONS; PSYCHOMETRICS; YOUNG ADULT;

EID: 85021067529     PISSN: 00332917     EISSN: 14698978     Source Type: Journal    
DOI: 10.1017/S0033291717001659     Document Type: Review

References (87)

1. Ainsworth J, Palmier-Claus JE, Machin M, Barrowclough C, Dunn G, Rogers A, Buchan I, Barkus E, Kapur S, Wykes T, Hopkins RS, Lewis S (2013). A comparison of two delivery modalities of a mobile phone-based assessment for serious mental illness: native smartphone application vs text-messaging only implementations. Journal of Medical Internet Research 15, e60.
2. Ansell EB, Laws HB, Roche MJ, Sinha R (2015). Effects of marijuana use on impulsivity and hostility in daily life. Drug and Alcohol Dependence 148, 136-142.
3. Bachmann A, Klebsattel C, Budde M, Riedel T, Beigl M, Reichert M, Santangelo P, Ebner-Priemer U (2015). How to use smartphones for less obtrusive ambulatory mood assessment and mood recognition. In Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, pp. 693-702. ACM: Osaka.
4. Bakker D, Kazantzis N, Rickwood D, Rickard N (2016). Mental health smartphone apps: review and evidence-based recommendations for future developments. Journal of Medical Internet Research Mental Health 3, e7.
5. Bardram JE, Frost M, Szántó K, Faurholt-Jepsen M, Vinberg M, Kessing LV (2013). Designing mobile health technology for bipolar disorder: a field trial of the monarca system. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2627-2636. ACM: Paris.
6. Ben-Zeev D, Brenner CJ, Begale M, Duffecy J, Mohr DC, Mueser KT (2014). Feasibility, acceptability, and preliminary efficacy of a smartphone intervention for schizophrenia. Schizophrenia Bulletin 40, 1244-1253.
7. Ben-Zeev D, Scherer EA, Wang R, Xie H, Campbell AT (2015). Next-generation psychiatric assessment: using smartphone sensors to monitor behavior and mental health. Psychiatric Rehabilitation Journal 38, 218-226.
8. Bolger N, Davis A, Rafaeli E (2003). Diary methods: capturing life as it is lived. Annual Review of Psychology 54, 579-616.
9. Bossmann T, Kanning M, Koudela-Hamila S, Hey S, Ebner-Priemer U (2013). The association between short periods of everyday life activities and affective states: a replication study using ambulatory assessment. Frontiers in Psychology 4, 102.
10. Bradford S, Rickwood D (2014). Adolescent's preferred modes of delivery for mental health services. Child and Adolescent Mental Health 19, 39-45.
11. Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ (1989). The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Research 28, 193-213.
12. Carver CS, Scheier MF, Weintraub JK (1989). Assessing coping strategies: a theoretically based approach. Journal of Personality and Social Psychology 56, 267-283.
13. Conner TS, Reid KA (2012). Effects of intensive mobile happiness reporting in daily life. Social Psychological and Personality Science 3, 315-323.
14. Connor-Smith JK, Compas BE, Wadsworth ME, Thomsen AH, Saltzman H (2000). Responses to stress in adolescence: measurement of coping and involuntary stress responses. Journal of Consulting and Clinical Psychology 68, 976-992.
15. Cristobal-Narvaez P, Sheinbaum T, Ballespi S, Mitjavila M, Myin-Germeys I, Kwapil TR, Barrantes-Vidal N (2016). Impact of adverse childhood experiences on psychotic-like symptoms and stress reactivity in daily life in nonclinical young adults. PLoS ONE 11, e0153557.
16. Crooke AH, Reid SC, Kauer SD, McKenzie DP, Hearps SJ, Khor AS, Forbes AB (2013). Temporal mood changes associated with different levels of adolescent drinking: using mobile phones and experience sampling methods to explore motivations for adolescent alcohol use. Drug and Alcohol Review 32, 262-268.
17. Crowell SE, Beauchaine TP, LinehanMM (2009). A biosocial developmental model of borderline personality: elaborating and extending Linehan's theory. Psychological Bulletin 135, 495-510.
18. Dennis ML, Scott CK, Funk RR, Nicholson L (2015). A pilot study to examine the feasibility and potential effectiveness of using smartphones to provide recovery support for adolescents. Substance Abuse 36, 486-492.
19. Department of Health (2013). Annual Report of the Chief Medical Officer 2013, Public Mental Health Priorities: Investing in the Evidence. (https://www.gov.uk/ government/uploads/system/uploads/attachment-data/ file/413196/CMO-web-doc.pdf).
20. Depp CA, Ceglowski J, Wang VC, Yaghouti F, Mausbach BT, Thompson WK, Granholm EL (2015). Augmenting psychoeducation with a mobile intervention for bipolar disorder: a randomized controlled trial. Journal of Affective Disorders 174, 23-30.
21. Depp CA, Kim DH, de Dios LV, Wang V, Ceglowski J (2012). A pilot study of mood ratings captured by mobile phone versus paper-and-pencil mood charts in bipolar disorder. Journal of Dual Diagnosis 8, 326-332.
22. Donker T, Petrie K, Proudfoot J, Clarke J, Birch MR, Christensen H (2013). Smartphones for smarter delivery of mental health programs: a systematic review. Journal of Medical Internet Research 15, e247.
23. Dunton GF, Huh J, Leventhal AM, Riggs N, Hedeker D, Spruijt-Metz D, Pentz MA (2014). Momentary assessment of affect, physical feeling states, and physical activity in children. Health Psychology 33, 255-263.
24. Dunton GF, Liao Y, Intille S, Wolch J, Pentz MA (2011). Physical and social contextual influences on children's leisure-time physical activity: an ecological momentary assessment study. Journal of Physical Activity and Health 8 (Suppl. 1), S103-S108.
25. Ebner-Priemer UW, Trull TJ (2009). Ecological momentary assessment of mood disorders and mood dysregulation. Psychological Assessment 21, 463-475.
26. Faurholt-Jepsen M, Frost M, Ritz C, Christensen EM, Jacoby AS, Mikkelsen RL, Knorr U, Bardram JE, Vinberg M, Kessing LV (2015). Daily electronic self-monitoring in bipolar disorder using smartphones\-The MONARCA I trial: a randomized, placebo-controlled, single-blind, parallel group trial. Psychological Medicine 45, 2691-2704.
27. Faurholt-Jepsen M, Frost M, Vinberg M, Christensen EM, Bardram JE, Kessing LV (2014). Smartphone data as objective measures of bipolar disorder symptoms. Psychiatry Research 217, 124-127.
28. Faurholt-Jepsen M, Munkholm K, Frost M, Bardram JE, Kessing LV (2016). Electronic self-monitoring of mood using IT platforms in adult patients with bipolar disorder: a systematic review of the validity and evidence. BioMed Central Psychiatry 16
29. Firth J, Torous J, Yung AR (2016). Ecological momentary assessment and beyond: the rising interest in e-mental health research. Journal of Psychiatric Research 80, 3-4.
30. Fleischer M, Schäfer M, Coogan A, Häßler F, Thome J (2012). Sleep disturbances and circadian CLOCK genes in borderline personality disorder. Journal of Neural Transmission 119, 1105-1110.
31. George D, Mallery P (2003). SPSS for Windows Step by Step: A Simple Guide and Reference, 11.0 Update. Allyn &Bacon: Boston.
32. Grunerbl A, Muaremi A, Osmani V, Bahle G, Ohler S, Troster G, Mayora O, Haring C, Lukowicz P (2015). Smartphone-based recognition of states and state changes in bipolar disorder patients. Institute of Electrical and Electronics Engineers Journal of Biomedical and Health Informatics 19, 140-148.
33. Higgins JPT, Altman DG, Gøtzsche PC, Jüni P, Moher D, Oxman AD, Savović J, Schulz KF, Weeks L, Sterne JAC, Cochrane Bias Methods Group, Cochrane Statistical Methods Group (2011). The Cochrane Collaboration's tool for assessing risk of bias in randomised trials. BMJ 343, d5928.
34. HM Government (2011). No Health without Mental Health: a Cross-Government Mental Health Outcomes Strategy for People of All Ages. (https://www.rcpsych.ac.uk/PDF/No% 20Health%20without%20Mental%20Health.pdf).
35. Hollis C, Falconer CJ, Martin JL, Whittington C, Stockton S, Glazebrook C, Davies EB (2016). Annual research review: digital health interventions for children and young people with mental health problems-A systematic and meta-review. Journal of Child Psychology and Psychiatry 58, 474-503.
36. Huh J, Shin H, Leventhal AM, Spruijt-Metz D, Abramova Z, Cerrada C, Hedeker D, Dunton G (2014). Momentary negative moods and being with friends precede cigarette use among Korean American emerging adults. Nicotine and Tobacco Research 16, 1248-1254.
37. ISO/IEC 9126-1 (2001). Software Engineering-Product Quality-Part 1: Quality Model. International Organization for Standardization: Geneva.
38. Karver MS, Handelsman JB, Fields S, Bickman L (2006). Meta-analysis of therapeutic relationship variables in youth and family therapy: the evidence for different relationship variables in the child and adolescent treatment outcome literature. Clinical Psychology Review 26, 50-65.
39. Kauer SD, Reid SC, Crooke AHD, Khor A, Hearps SJC, Jorm AF, Sanci L, Patton G (2012). Self-monitoring using mobile phones in the early stages of adolescent depression: randomized controlled trial. Journal of Medical Internet Research 14, e67.
40. Kauer SD, Reid SC, Sanci L, Patton GC (2009). Investigating the utility of mobile phones for collecting data about adolescent alcohol use and related mood, stress and coping behaviours: lessons and recommendations. Drug and Alcohol Review 28, 25-30.
41. Kenny R, Dooley B, Fitzgerald A (2015). Feasibility of 'CopeSmart': a telemental health app for adolescents. Journal of Medical Internet Research Mental Health 2, e22.
42. Khor AS, Gray KM, Reid SC, Melvin GA (2014a). Feasibility and validity of ecological momentary assessment in adolescents with high-functioning autism and Asperger's disorder. Journal of Adolescence 37, 37-46.
43. Khor AS, Melvin GA, Reid SC, Gray KM (2014b). Coping, daily hassles and behavior and emotional problems in adolescents with high-functioning autism/Asperger's disorder. Journal of Autism and Developmental Disorders 44, 593-608.
44. Lederer N, Grechenig T, Baranyi R (2014). unCUT: bridging the gap from paper diary cards towards mobile electronic monitoring solutions in borderline and self-injury. In 2014 IEEE 3rd International Conference on Serious Games and Applications for Health (SeGAH), pp. 1-8. IEEE: Rio de Janeiro.
45. Loventoft PK, Norregaard LB, Frokjaer E (2012). Designing daybuilder: an experimental app to support people with depression. In Proceedings of the 12th Participatory Design Conference: Exploratory Papers, Workshop Descriptions, Industry Cases-vol. 2, pp. 1-4. ACM: Roskilde.
46. Lupton D (2013). Quantifying the body: monitoring and measuring health in the age of mHealth technologies. Critical Public Health 23, 393-403.
47. Marwaha S, Balbuena L, Winsper C, Bowen R (2015). Mood instability as a precursor to depressive illness: a prospective and mediational analysis. Australian and New Zealand Journal of Psychiatry 49, 557-565.
48. Matthews M, Doherty G (2011). In the mood: engaging teenagers in psychotherapy using mobile phones. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2947-2956. ACM: Vancouver.
49. Matthews M, Doherty G, Coyle D, Sharry J (2008a). Designing mobile applications to support mental health interventions. In Handbook of Research on User Interface Design and Evaluation for Mobile Technology (ed. J. Lumsden), pp. 635-656. IGI Global: Hershey.
50. Matthews M, Doherty G, Sharry J, Fitzpatrick C (2008b). Mobile phone mood charting for adolescents. British Journal of Guidance and Counselling 36, 113-129.
51. Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Annals of Internal Medicine 151, 264-269, w264.
52. Myin-Germeys I, Klippel A, Steinhart H, Reininghaus U (2016). Ecological momentary interventions in psychiatry. Current Opinion in Psychiatry 29, 258-263.
53. Naslund JA, Marsch LA, McHugo GJ, Bartels SJ (2015). Emerging mHealth and eHealth interventions for serious mental illness: a review of the literature. Journal of Mental Health 24, 321-332.
54. NCCMH (2014). E-therapies Systematic Review for Children and Young People with Mental Health Problems. NCCMH: London.
55. Nicholas J, Larsen ME, Proudfoot J, Christensen H (2015). Mobile apps for bipolar disorder: a systematic review of features and content quality. Journal of Medical Internet Research 17, e198.
56. Ofcom (2015). The Communications Market Report. (https:// www.ofcom.org.uk/-data/assets/pdf-file/0022/20668/ cmr-uk-2015.pdf).
57. Olff M (2015). Mobile mental health: a challenging research agenda. European Journal of Psychotraumatology 6, 27882.
58. Palmier-Claus JE, Ainsworth J, Machin M, Barrowclough C, Dunn G, Barkus E, Rogers A, Wykes T, Kapur S, Buchan I, Salter E, Lewis SW (2012). The feasibility and validity of ambulatory self-report of psychotic symptoms using a smartphone software application. BioMed Central Psychiatry 12, 172.
59. Palmier-Claus JE, Rogers A, Ainsworth J, Machin M, Barrowclough C, Laverty L, Barkus E, Kapur S, Wykes T, Lewis SW (2013). Integrating mobile-phone based assessment for psychosis into people's everyday lives and clinical care: a qualitative study. BioMed Central Psychiatry 13, 34.
60. Palmier-Claus JE, Taylor PJ, Ainsworth J, Machin M, Dunn G, Lewis SW (2014). The temporal association between self-injurious thoughts and psychotic symptoms: a mobile phone assessment study. Suicide and Life-Threatening Behavior 44, 101-110.
61. Paris J (2004). Borderline or bipolar? Distinguishing borderline personality disorder from bipolar spectrum disorders. Harvard Review of Psychiatry 12, 140-145.
62. Prentice JL, Dobson KS (2014). A review of the risks and benefits associated with mobile phone applications for psychological interventions. Canadian Psychology/Psychologie Canadienne 55, 282-290.
63. Proctor E, Silmere H, Raghavan R, Hovmand P, Aarons G, Bunger A, Griffey R, Hensley M (2011). Outcomes for implementation research: conceptual distinctions, measurement challenges, and research agenda. Administration and Policy in Mental Health 38, 65-76.
64. Reid SC, Kauer SD, Dudgeon P, Sanci LA, Shrier LA, Patton GC (2009). A mobile phone program to track young people's experiences of mood, stress and coping: development and testing of the mobiletype program. Social Psychiatry and Psychiatric Epidemiology 44, 501-507.
65. Reid SC, Kauer SD, Hearps SJC, Crooke AHD, Khor AS, Sanci LA, Patton GC (2011). A mobile phone application for the assessment and management of youth mental health problems in primary care: a randomised controlled trial. BioMed Central Family Practice 12, 131.
66. Reid SC, Kauer SD, Hearps SJC, Crooke AHD, Khor AS, Sanci LA, Patton GC (2013). A mobile phone application for the assessment and management of youth mental health problems in primary care: health service outcomes from a randomised controlled trial of mobiletype. BioMed Central Family Practice 14, 84.
67. Reid SC, Kauer SD, Khor AS, Hearps SJC, Sanci LA, Kennedy AD, Patton GC (2012). Using a mobile phone application in youth mental health: an evaluation study. Australian Family Physician 41, 711-714.
68. Sacco GR (2015). Developing a Smartphone Application for Depression: Tracking Risk and Wellness Factors. M.A. University of Delaware.
69. Sandstrom GM, Lathia N, Mascolo C, Rentfrow PJ (2016a). Opportunities for smartphones in clinical care: the future of mobile mood monitoring. Journal of Clinical Psychiatry 77, e135-e137.
70. Sandstrom GM, Lathia N, Mascolo C, Rentfrow PJ (2016b). Putting mood in context: Using smartphones to examine how people feel in different locations. Journal of Research in Personality (http://dx.doi.org/10.1016/j.jrp.2016.06.004).
71. Schwartz JE, Neale J, Marco C, Shiffman SS, Stone AA (1999). Does trait coping exist? A momentary assessment approach to the evaluation of traits. Journal of Personality and Social Psychology 77, 360-369.
72. Scotti JF (2015). School-based DBT skills groups for adolescent eating disorders and body image concerns: a pilot study. Ph.D. University of Montana.
73. Seko Y, Kidd S, Wiljer D, McKenzie K (2014). Youth mental health interventions via mobile phones: a scoping review. Cyberpsychology, Behavior and Social Networking 17, 591-602.
74. Shiffman S, Stone AA, Hufford MR (2008). Ecological momentary assessment. Annual Review of Clinical Psychology 4, 1-32.
75. Stone AA, Shiffman S, Schwartz JE, Broderick JE, Hufford MR (2003). Patient compliance with paper and electronic diaries. Controlled Clinical Trials 24, 182-199.
76. Thomée S, Härenstam A, Hagberg M (2011). Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults-A prospective cohort study. BioMed Central Public Health 11, 66.
77. Torous J, Firth J (2016). The digital placebo effect: mobile mental health meets clinical psychiatry. Lancet Psychiatry 3, 100-102.
78. Torous J, Powell AC (2015). Current research and trends in the use of smartphone applications for mood disorders. Internet Interventions 2, 169-173.
79. Tregarthen JP, Lock J, Darcy AM (2015). Development of a smartphone application for eating disorder self-monitoring. International Journal of Eating Disorders 48, 972-982.
80. Trull TJ, Lane SP, Koval P, Ebner-Priemer UW (2015). Affective dynamics in psychopathology. Emotion Review 7, 355-361.
81. van Knippenberg RJM, de Vugt ME, Ponds RW, Myin-Germeys I, van Twillert B, Verhey FRJ (2016). Dealing with daily challenges in dementia (deal-id study): an experience sampling study to assess caregiver functioning in the flow of daily life. International Journal of Geriatric Psychiatry (https://dx.doi.org/10.1002/gps.4552).
82. Walsh S, Golden E, Priebe S (2016). Systematic review of patients' participation in and experiences of technology-based monitoring of mental health symptoms in the community. BMJ Open 6, e008362.
83. Wang R, Chen F, Chen Z, Li T, Harari G, Tignor S, Zhou X, Ben-Zeev D, Campbell AT (2014). StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 3-14. ACM: Seattle.
84. Watson D, Clark LA, Tellegen A (1988). Development and validation of brief measures of positive and negative affect: the PANAS scales. Journal of Personality and Social Psychology 54, 1063-1070.
85. Wenze SJ, Miller IW (2010). Use of ecological momentary assessment in mood disorders research. Clinical Psychology Review 30, 794-804.
86. World Health Organisation (1986). Young people's health: a challenge for society-Report of a WHO Study Group on Young People and Health for All by the Year 2000. World Health Organisation Technical Report Series 731. World Health Organisation: Geneva.
87. Yen S, Frazier E, Hower H, Weinstock LM, Topor DR, Hunt J, Goldstein TR, Goldstein BI, Gill MK, Ryan ND, Strober M, Birmaher B, Keller MB (2015). Borderline personality disorder in transition age youth with bipolar disorder. Acta Psychiatrica Scandinavica 132, 270-280.