Mobile App Tools for Identifying and Managing Mental Health Disorders in Primary Care
Open accessAbstract
Purpose of review Mental health apps are intriguing yet challenging tools for addressing barriers to treatment in primary care. In the current review, we seek to assist primary care professionals with evaluating and integrating mental health apps into practice. We briefly summarize two leading frameworks for evaluating mental health apps and conduct a systematic review of mental health apps across a variety of areas commonly encountered in primary care. Recent findings Existing frameworks can guide professionals and patients through the process of identifying apps and evaluating dimensions such as privacy and security, credibility, and user experience. For specific apps, several problem areas appear to have relatively more scientific evaluation in the current app landscape, including PTSD, smoking, and alcohol use. Other areas such as eating disorders not only lack evaluation, but contain a significant subset of apps providing potentially harmful advice. Summary Overall, individuals seeking mental health apps will likely encounter strengths such as symptom tracking and psychoeducational components, while encountering common weaknesses such as insufficient privacy settings and little integration of empirically-supported techniques. While mental health apps may have more promise than ever, significant barriers to finding functional, usable, effective apps remain for health professionals and patients alike.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Three remaining studies applied existing frameworks to evaluate mHealth applications, including ORCHA-24, APA App Evaluation Model and PsyberGuide 10, and the GeoHealth PIA framework.
“Three remaining studies applied existing frameworks to evaluate mHealth applications, which included ''The Organisation for the Review of Care and Health Applications 24 Question Assessment (ORCHA-24) framework'' [88], IEEEAccess American Psychiatric Association (APA) App Evaluation Model and PsyberGuide 10 [5], and the GeoHealth Privacy Impact Assessment (PIA) framework [90].”
From Security and Privacy of mHealth Applications: A Scoping Review (2020) · cites this paper as [5]
The ‘Frameworks for Evaluating Mental Health Apps’ section identifies and explains the APA App Evaluation Model and PsyberGuide, supporting the frameworks named alongside this citation. But the ‘Summary of Current Findings’ says the paper overviewed those frameworks and separately assessed the app landscape; it does not say the authors applied the frameworks to evaluate apps. ORCHA-24 and GeoHealth PIA have separate citations in the citing sentence. (LLM, conf=0.86)
Experimental — accuracy not yet measuredMany authors state that findings should not be seen as a replacement for more in-depth assessments, such as those using NHS digital assessment criteria, but rather as an adjunct.
“Many authors state that ndings should not be seen as a replacement for more in-depth assessments, such as those using NHS digital assessment criteria, but rather as an adjunct [5], [87], [88].”
From Security and Privacy of mHealth Applications: A Scoping Review (2020) · cites this paper as [5]
In Existing Reviews Evaluating Mental Health Apps (page unavailable), the paper describes apps for older adults as “assessment aids,” and its Clinical Implications section recommends using apps collaboratively with clinicians. That supports an adjunct role, but our copy does not say that findings should not replace in-depth assessments or discuss NHS digital assessment criteria. (LLM, conf=0.73)
Experimental — accuracy not yet measuredSome limitations concern the generalisability of findings due to specific healthcare settings and problem areas, patient populations, or categories of apps reviewed.
“Some limitations concern the generalisability of ndings, which could be due to speci c healthcare settings and problem areas [5], patient populations included in the studies [86], or the categories of apps reviewed [88].”
From Security and Privacy of mHealth Applications: A Scoping Review (2020) · cites this paper as [5]
For clinicians and healthcare professionals, the objective is to assist them with evaluating and integrating mental health apps into practice.
“For clinicians and healthcare professionals: to establish a sustainable curated app repository, based on explicit quality and risk criteria [89], to assist them with evaluating and integrating mental health apps into practice [5], and on what apps to recommend [88].”
From Security and Privacy of mHealth Applications: A Scoping Review (2020) · cites this paper as [5]
The final type of framework consists of checklists or sets of evaluation criteria or principles.
“The nal type of framework consists of checklists or sets of evaluation criteria or principles [5], [87] [90].”
From Security and Privacy of mHealth Applications: A Scoping Review (2020) · cites this paper as [5]
60% (6/10) of studies in this category focused on overall evaluation of mHealth apps, including quality assessment, review of official frameworks such as APA, and frameworks to support decision-making in choosing mHealth apps for research purposes.
“Most of the studies in this category 60% (6/10) focused on overall evaluation of mHealth apps, including quality assessment [86], [89], review of of cial frameworks such as APA [5], and frameworks to support decision-making in choosing mHealth apps for research purposes [87].”
From Security and Privacy of mHealth Applications: A Scoping Review (2020) · cites this paper as [5]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Smartphones for smarter delivery of mental health programs: A systematic review
Donker, T., Petrie, K., Proudfoot, J., Clarke, J., Birch, M.-R., & Christensen, H. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2791 · Cited by 1,136 · see citing works
Mobile phone-based interventions for smoking cessation
Whittaker, R., McRobbie, H., Bullen, C., Rodgers, A., & Gu, Y. (2016) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd006611.pub4 · Cited by 1,079 · see citing works
Mental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments
Bakker, D., Kazantzis, N., Rickwood, D., & Rickard, N. (2016) · JMIR Mental Health · doi:10.2196/mental.4984 · Cited by 886 · see citing works
Hollis, C., Falconer, C. J., Martin, J. L., Whittington, C., Stockton, S., Glazebrook, C., & Davies, E. B. (2017) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12663 · Cited by 846 · see citing works
Firth, J., Torous, J., Nicholas, J., Carney, R., Rosenbaum, S., & Sarris, J. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.04.046 · Cited by 675 · see citing works
Mental Health Mobile Apps for Preadolescents and Adolescents: A Systematic Review.
Grist, R., Porter, J., & Stallard, P. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7332 · Cited by 518 · see citing works
Rathbone, A. L., & Prescott, J. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7740 · Cited by 497 · see citing works
Review and evaluation of mindfulness-based iPhone apps
Mani, M., Kavanagh, D. J., Hides, L., & Stoyanov, S. R. (2015) · JMIR mHealth and uHealth · doi:10.2196/mhealth.4328 · Cited by 495 · see citing works
A Systematic Review of Cognitive Behavioral Therapy and Behavioral Activation Apps for Depression
Huguet, A., Rao, S., McGrath, P. J., Wozney, L., Wheaton, M., Conrod, J., & Rozario, S. (2016) · PLOS ONE · doi:10.1371/journal.pone.0154248 · Cited by 328 · see citing works
A systematic assessment of smartphone tools for suicide prevention
Larsen, M. E., Nicholas, J., & Christensen, H. (2016) · PLoS ONE · doi:10.1371/journal.pone.0152285 · Cited by 289 · see citing works
Torous, J., Friedman, R., & Keshavan, M. (2014) · JMIR mHealth and uHealth · doi:10.2196/mhealth.2994 · Cited by 287 · see citing works
Finding a Depression App: A Review and Content Analysis of the Depression App Marketplace
Shen, N., Levitan, M.-J., Johnson, A., Bender, J. L., Hamilton-Page, M., Jadad, A. (. R., & Wiljer, D. (2015) · JMIR mHealth and uHealth · doi:10.2196/mhealth.3713 · Cited by 282 · see citing works
Proudfoot, J., Parker, G., Hadzi Pavlovic, D., Manicavasagar, V., Adler, E., & Whitton, A. (2010) · Journal of Medical Internet Research · doi:10.2196/jmir.1475 · Cited by 274 · see citing works
Smartphone Apps for Schizophrenia: A Systematic Review
Firth, J., & Torous, J. (2015) · JMIR mHealth and uHealth · doi:10.2196/mhealth.4930 · Cited by 268 · see citing works
Lalloo, C., Jibb, L. A., Rivera, J., Agarwal, A., & Stinson, J. N. (2015) · The Clinical Journal of Pain · doi:10.1097/ajp.0000000000000171 · Cited by 257 · see citing works
Van Ameringen, M., Turna, J., Khalesi, Z., Pullia, K., & Patterson, B. (2017) · Depression and Anxiety · doi:10.1002/da.22657 · Cited by 234 · see citing works
Anxiety: There is an app for that. A systematic review of anxiety apps: SUCALA et al.
Sucala, M., Cuijpers, P., Muench, F., Cardoș, R., Soflau, R., Dobrean, A., Achimas-Cadariu, P., & David, D. (2017) · Depression and Anxiety · doi:10.1002/da.22654 · Cited by 232 · see citing works
Evidence-based apps? A review of mental health mobile applications in a psychotherapy context
Lui, J. H. L., Marcus, D. K., & Barry, C. T. (2017) · Professional Psychology Research and Practice · doi:10.1037/pro0000122 · Cited by 217 · see citing works
Depp, C. A., Ceglowski, J., Wang, V. C., Yaghouti, F., Mausbach, B. T., Thompson, W. K., & Granholm, E. L. (2015) · Journal of Affective Disorders · doi:10.1016/j.jad.2014.10.053 · Cited by 215 · see citing works
Bell, I. H., Lim, M. H., Rossell, S. L., & Thomas, N. (2017) · Psychiatric Services · doi:10.1176/appi.ps.201600523 · Cited by 189 · see citing works
Pospos, S., Young, I. T., Downs, N., Iglewicz, A., Depp, C., Chen, J. Y., Newton, I., Lee, K., Light, G. A., & Zisook, S. (2018) · Academic Psychiatry · doi:10.1007/s40596-017-0868-0 · Cited by 180 · see citing works
Witt, K., Spittal, M. J., Carter, G., Pirkis, J., Hetrick, S., Currier, D., Robinson, J., & Milner, A. (2017) · BMC Psychiatry · doi:10.1186/s12888-017-1458-0 · Cited by 179 · see citing works
Dogan, E., Sander, C., Wagner, X., Hegerl, U., & Kohls, E. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7006 · Cited by 177 · see citing works
Nicholas, J., Fogarty, A. S., Boydell, K., & Christensen, H. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7273 · Cited by 158 · see citing works
Rathbone, A. L., Clarry, L., & Prescott, J. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.8598 · Cited by 158 · see citing works
Review of Smartphone Applications for the Treatment of Eating Disorders
Juarascio, A. S., Manasse, S. M., Goldstein, S. P., Forman, E. M., & Butryn, M. L. (2015) · European Eating Disorders Review · doi:10.1002/erv.2327 · Cited by 143 · see citing works
Fowler, L. A., Holt, S. L., & Joshi, D. (2016) · Addictive Behaviors · doi:10.1016/j.addbeh.2016.06.008 · Cited by 123 · see citing works
Apps and eating disorders: A systematic clinical appraisal
Fairburn, C. G., & Rothwell, E. R. (2015) · International Journal of Eating Disorders · doi:10.1002/eat.22398 · Cited by 121 · see citing works
Wallace, P., & Dhingra, P. (2014) · Journal of Opioid Management · doi:10.5055/jom.2014.0193 · Cited by 108 · see citing works
Lal, S., Dell'Elce, J., Tucci, N., Fuhrer, R., Tamblyn, R., & Malla, A. (2015) · JMIR Mental Health · doi:10.2196/mental.4400 · Cited by 108 · see citing works
A quality review of smartphone applications for the management of pain
Portelli, P., & Eldred, C. (2016) · British Journal of Pain · doi:10.1177/2049463716638700 · Cited by 94 · see citing works
Online and mobile technologies for self-management in bipolar disorder: A systematic review.
Gliddon, E., Barnes, S. J., Murray, G., & Michalak, E. E. (2017) · Psychiatric Rehabilitation Journal · doi:10.1037/prj0000270 · Cited by 84 · see citing works
Online and Mobile Interventions for Problem Gambling, Alcohol, and Drugs: A Systematic Review
Giroux, I., Goulet, A., Mercier, J., Jacques, C., & Bouchard, S. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00954 · Cited by 56 · see citing works
Flagged first, then by citations
Research works printed but not linked: 54
- [3]Loeb DF, Bayliss EA, Binswanger IA, Candrian C, DeGruy FV. Primary care physician perceptions on caring for complex patients with medical and mental illness. J Gen Intern Med. 2012: 27(8): 945– 52. 22370766 PMC3403152
- [4]Mickus M, Colenda CC, Hogan AJ. Knowledge of mental health benefits and preferences for type of mental health providers among the general public. Psychiatr Serv. 2000: 51(2): 199– 202. 10655003
- [5]Yaman H, Yavuz E, Er A, Vural R, Albayrak Y, Yardimci A, The use of mobile smart devices and medical apps in the family practice setting. J Eval Clin Pract. 2016: 22(2): 290– 6. 26552716
- [8]Ramirez V, Johnson E, Gonzalez C, Ramirez V, Rubino B, Rossetti G. Assessing the use of mobile health technology by patients: An observational study in primary care clinics. JMIR mHealth uHealth. 2016: 4(2): e41. 27095507 PMC4858592
- [11]Kroenke K, Spitzer RL, Williams JB, Monahan PO, Lowe B. Anxiety disorders in primary care: Prevalence, impairment, comorbidity, and detection. Ann Intern Med. 2007: 146: 317– 25. 17339617
- [15]Alyami M, Giri B, Alyami H, Sundram F. Social anxiety apps: A systematic review and assessment of app descriptors across mobile store platforms. Evid Based Ment Health. 2017: 20(3): 65– 70. 28666986 PMC10688550
- [16]Van Singer M, Chatton A, Khazaal Y. Quality of smartphone apps related to panic disorder. Front Psychiatry. 2015: 6: 96. 26236242 PMC4500864
- [17]Bush NE, Skopp N, Smolenski D, Crumpton R, Fairall J. Behavioral screening measures delivered with a smartphone app: Psychometric properties and user preference. J Nerv Ment Dis. 2013: 201(11): 991– 5. 24177488
- [18]Rodriguez-Paras C, Tippey K, Brown E, Sasangohar F, Creech S, Kum H-C, Posttraumatic stress disorder and mobile health: App investigation and scoping literature review. JMIR mHealth uHealth. 2017: 5(10): e156. 29074470 PMC5680516
- [19]Fann JR, Berry DL, Wolpin S, Austin-Seymour M, Bush N, Halpenny B, Depression screening using the Patient Health Questionnaire-9 administered on a touch screen computer. Psychooncology. 2009: 18(1): 14– 22. 18457335 PMC2610244
- [21]Callan JA, Wright J, Siegle GJ, Howland RH, Kepler BB. Use of computer and mobile technologies in the treatment of depression. Arch Psychiatr Nurs. 2017: 31(3): 311– 8. 28499574
- [26]Aguirre RTP, McCoy MK, Roan M. Development guidelines from a study of suicide prevention mobile applications (apps). J Technol Hum Serv. 2013: 31(3): 269– 93.
- Luxton DD, June JD, Chalker SA. Mobile health technologies for suicide prevention: Feature review and recommendations for use in clinical care. Curr Treat Options Psychiatry. 2015: 2(4): 349– 62. Clinically-oriented review of mobile health in suicide prevention, emphasis on future technological capabilities.
- [28]de la Torre I, Castillo G, Arambarri J, López-Coronado M, Franco MA. Mobile apps for suicide prevention: Review of virtual stores and literature. JMIR mHealth uHealth. 2017: 5(10): e130. 29017992 PMC5654733
- [30]Nicholas J, Larsen ME, Proudfoot J, Christensen H. Mobile apps for bipolar disorder: A systematic review of features and content quality. J Med Internet Res. 2015: 17(8): e198. 26283290 PMC4642376
- [33]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(4): 497– 515. 24402464 PMC4087107
- [38]Hoeppner BB, Schick MR, Kelly LM, Hoeppner SS, Bergman B, Kelly JF. There is an app for that – Or is there? A content analysis of publicly available smartphone apps for managing alcohol use. J Subst Abuse Treat. 2017: 82: 67– 73. 29021117
- [39]Cohn AM, Hunter-Reel D, Hagman BT, Mitchell J. Promoting behavior change from alcohol use through mobile technology: The future of ecological momentary assessment. Alcohol Clin Exp Res. 2011: 35(12): 2209– 15. 21689119 PMC3221771
- [40]Savic M, Best D, Rodda S, Lubman DI. Exploring the focus and experiences of smartphone applications for addiction recovery. J Addict Dis. 2013: 32(3): 310– 9. 24074196
- [41]Weaver ER, Horyniak DR, Jenkinson R, Dietze P, Lim MSC. Let’s get wasted! and other apps: Characteristics, acceptability, and use of alcohol-related smartphone applications. J Med Internet Res. 2013: 15(6): e9. 25100681 PMC4114432
- [42]Choo CC, Burton AAD. Mobile Phone apps for behavioral interventions for at-risk drinkers in Australia: Literature review. JMIR mHealth uHealth. 2018: 6(2): e18. 29439946 PMC5829458
- [43]Quanbeck A, Chih M-Y, Isham A, Johnson R, Gustafson D. Mobile delivery of treatment for alcohol use disorders. Alcohol Res. 2014: 36(1): 111– 22. 26259005 PMC4432850
- [44]Milward J, Khadjesari Z, Fincham-Campbell S, Deluca P, Watson R, Drummond C. User preferences for content, features, and style for an app to reduce harmful drinking in young adults: Analysis of user feedback in app stores and focus group interviews. JMIR mHealth uHealth. 2016: 4(2): e47. 27220371 PMC4897297
- [45]Kazemi DM, Borsari B, Levine MJ, Li S, Lamberson KA, Matta LA. A systematic review of the mHealth interventions to prevent alcohol and substance abuse. J Health Commun. 2017: 22(5): 413– 32. 28394729 PMC5616128
- [47]Berman AH, Gajecki M, Sinadinovic K, Andersson C. Mobile interventions targeting risky drinking among university students: A review. Curr Addict Reports. 2016: 3(2): 166– 74. PMC4856712 27226948
- [48]O’Rourke L, Humphris G, Baldacchino A. Electronic communication based interventions for hazardous young drinkers: A systematic review. Neurosci Biobehav Rev. 2016: 68: 880– 90. 27453570
- [49]Meredith SE, Alessi SM, Petry NM. Smartphone applications to reduce alcohol consumption and help patients with alcohol use disorder: A state-of-the-art review. Adv Heal Care Technol. 2015: 1: 47– 54. PMC4963021 27478863
- [50]Bennett ME, Toffey K, Dickerson F, Himelhoch S, Katsafanas E, Savage CLG. A review of android apps for smoking cessation. J Smok Cessat. 2015: 10(2): 106– 15.
- [51]Regmi K, Kassim N, Ahmad N, Tuah NA. Effectiveness of mobile apps for smoking cessation: A review. Tob Prev Cessat. 2017: 3(April): 12. PMC7232804 32432186
- [53]Thornton L, Quinn C, Birrell L, Guillaumier A, Shaw B, Forbes E, Free smoking cessation mobile apps available in Australia: A quality review and content analysis. Aust N Z J Public Health. 2017: 41(6): 625– 30. 28749591
- Haskins BL, Lesperance D, Gibbons P, Boudreaux ED. A systematic review of smartphone applications for smoking cessation. Transl Behav Med. 2017: 7(2): 292– 9. 28527027 PMC5526818 Describes specific smoking cessation apps with discussion of features and evidence.
- [55]Agency for Healthcare Research and Quality. Treating tobacco use and dependence: 2008 update. 2018 http://www.ahrq.gov/professionals/clinicians-providers/guidelines-recommendations/tobacco/index.html 21923316
- [56]Hoeppner BB, Hoeppner SS, Seaboyer L, Schick MR, Wu GWY, Bergman BG, How smart are smartphone apps for smoking cessation? A content analysis. Nicotine Tob Res. 2016: 18(5): 1025– 31. 26045249 PMC5942604
- [57]Abroms LC, Lee Westmaas J, Bontemps-Jones J, Ramani R, Mellerson J. A content analysis of popular smartphone apps for smoking cessation. Am J Prev Med. 2013: 45(6): 732– 6. 24237915 PMC3836190
- [58]Abroms LC, Padmanabhan N, Thaweethai L, Phillips T. iPhone apps for smoking cessation: A content analysis. Am J Prev Med. 2011: 40(3): 279– 85. 21335258 PMC3395318
- [59]Ferron JC, Brunette MF, Geiger P, Marsch LA, Adachi-Mejia AM, Bartels SJ. Mobile phone apps for smoking cessation: Quality and usability among smokers With psychosis. JMIR Hum Factors. 2017: 4(1): e7. 28258047 PMC5357319
- [60]Heminger C, Schindler-Ruwisch J, Lorien Abroms L. Smoking cessation support for pregnant women: role of mobile technology. Subst Abuse Rehabil. 2016: 7: 15– 26. 27110146 PMC4835136
- [61]Coulon SM, Monroe CM, West DS. A systematic, multi-domain review of mobile smartphone apps for evidence-based stress management. Am J Prev Med. 2016: 51(1): 95– 105. 26993534
- [66]De La Vega R, Miró J. mHealth: A strategic field without a solid scientific soul. A systematic review of pain-related apps. PLoS One. 2014: 9(7): e101312. 24999983 PMC4085095
- [67]Bhattarai P, Newton-John T, Phillips JL. Quality and usability of arthritic pain self-management apps for older adults: A systematic review. Pain Med. 2017: 19: 471– 84. 28541464
- [68]Machado GC, Pinheiro MB, Lee H, Ahmed OH, Hendrick P, Williams C, Smartphone apps for the self-management of low back pain: A systematic review. Best Pract Res Clin Rheumatol. 2016: 30(6): 1098– 109. 29103552
- [70]Moussa Y, Mahdanian AA, Yu C, Segal M, Looper KJ, Vahia IV, Mobile health technology in late-life mental illness: A focused literature review. Am J Geriatr Psychiatry. 2017: 25(8): 865– 72. 28495467
- [71]Dubad M, Winsper C, Meyer C, Livanou M, Marwaha S. A systematic review of the psychometric properties, usability and clinical impacts of mobile mood-monitoring applications in young people. Psychol Med. 2018: 48(2): 208– 28. 28641609
- Bry LJ, Chou T, Miguel E, Comer JS. Consumer smartphone apps marketed for child and adolescent anxiety: A systematic review and content analysis. Behav Ther. 2018: 49(2): 249– 261. 29530263 PMC6082393 Reviews current child and adolescent anxiety apps, including clinical implications and future technological directions.
- [73]Seko Y, Kidd S, Wiljer D, McKenzie K. Youth mental health interventions via mobile phones: A scoping review. Cyberpsychology, Behav Soc Netw. 2014: 17(9): 591– 602. 25007383
- [76]Capon H, Hall W, Fry C, Carter A. Realising the technological promise of smartphones in addiction research and treatment: An ethical review. Int J Drug Policy. 2016: 36: 47– 57. 27455467
- [80]Bateman DR, Srinivas B, Emmett TW, Schleyer TK, Holden RJ, Hendrie HC, Categorizing health outcomes and efficacy of mHealth apps for persons with cognitive impairment: A systematic review. J Med Internet Res. 2017: 19(8): e301. 28855146 PMC5597798
- [81]Christensen H, Petrie K. State of the e-mental health field in Australia: Where are we now? Aust N Z J Psychiatry. 2013: 47(2): 117– 20. 23297367
- [84]Menon V, Rajan T, Sarkar S. Psychotherapeutic applications of mobile phone-based technologies: A systematic review of current research and trends. Indian J Psychol Med. 2017: 39(1): 4– 11. 28250552 PMC5329989
- [86]Runyan JD, Steinke EG. Virtues, ecological momentary assessment/intervention and smartphone technology. Front Psychol. 2015: 6: 481. 25999869 PMC4422021
- [89]Meyer TD, Casarez R, Mohite SS, La Rosa N, Iyengar MS. Novel technology as platform for interventions for caregivers and individuals with severe mental health illnesses: A systematic review. J Affect Disord. 2018: 226: 169– 77. 28987999
- [90]Sucala M, Schnur JB, Glazier K, Miller SJ, Green JP, Montgomery GH. Hypnosis-there’s an app for that: A systematic review of hypnosis apps. Int J Clin Exp Hypn. 2013: 61(4): 463– 74. 23957263 PMC3804912
- [91]Ghorai K, Akter S, Khatun F, Ray P. mHealth for smoking cessation programs: A systematic review. J Pers Med. 2014: 4(3): 412– 23. 25563359 PMC4263966
- [92]Lyzwinski LN, Caffery L, Bambling M, Edirippulige S. A systematic review of electronic mindfulness-based therapeutic interventions for weight, weight-related behaviors, and psychological stress. Telemed e-Health. 2017: 24(3): 173– 184. 28885896
Cited by
Sorted by citations
Security and Privacy of mHealth Applications: A Scoping Review
Nurgalieva, L., O'Callaghan, D., & Doherty, G. (2020) · IEEE Access · doi:10.1109/access.2020.2999934 · Cited by 132 · see citing works
“Some limitations concern the generalisability of findings, which could be due to specific healthcare settings and problem areas [5], patient populations included in the studies [86], or the categories of apps reviewed [88].”
BackgroundMethodInfluentialJungmann, S. M., Klan, T., Kuhn, S., & Jungmann, F. (2019) · JMIR Formative Research · doi:10.2196/13863 · Cited by 127 · see citing works
Understanding the quality, effectiveness and attributes of top-rated smartphone health apps
Wisniewski, H., Liu, G., Henson, P., Vaidyam, A., Hajratalli, N. K., Onnela, J.-P., & Torous, J. (2019) · Evidence Based Mental Health · doi:10.1136/ebmental-2018-300069 · Cited by 112 · see citing works
- Authors
- Magee, J. C., Adut, S., Brazill, K., & Warnick, S.
- Affiliations
- Miami University (US)
- University of Illinois Urbana-Champaign (US)
- University of Michigan (US)
- Corresponding author
- Magee, Joshua C.
- Venue
- Current Treatment Options in Psychiatry
- Published
- 2018-07-16
- Volume
- 5
- Issue
- 3
- Pages
- 345-362
- ISSN
- 2196-3061 (ISSN-L)
- PMC
- PMC6214367
- OpenAlex
- W2883720495
- Cited by
- 25
- References
- 33
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 2 · 2023: 3 · 2022: 2 · 2021: 3 · 2020: 7 · 2019: 4
- FWCI
- 4.17
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Current Treatment Options in Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Drug Abuse (K23DA037320)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Keywords
- mental health apps, mobile health, primary care, user experience, post-traumatic stress disorder, smoking cessation, alcohol consumption, eating disorders, symptom monitoring, psychoeducation, barriers to treatment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review