The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Do mental health mobile apps work: evidence and recommendations for designing high-efficacy mental health mobile apps
Open accessAbstract
Smartphone-based mental health apps represent a unique opportunity to expand the availability and quality of mental health treatment. The number of mobile health (mHealth) apps focused on mental health has rapidly increased; a 2015 World Health Organization (WHO) survey of 15,000 mHealth apps revealed that 29% focus on mental health diagnosis, treatment, or support (1).
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“Smartphone-delivered interventions also differ in their design, content presentation (e.g., text- or video-based), usability, and other user experience aspects (cf. Chandrashekar, 2018).”
From Smartphone-delivered mental health care interventions for refugees: A systematic review of the literature (2023) · cites this paper as Chandrashekar, 2018
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“When the application was combined with face-to-face or internet-based therapy, the effect was even greater [15].”
From A Review of Current Digital Mental Health Care Applications for Anxiety Symptoms and Future Prospects (2024) · cites this paper as [15]
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“Mobile health (mHealth) technology has been growing in popularity to minimize some barriers to traditional mental healthcare [8,9].”
From Analysis of Mobile App-Based Mental Health Solutions for College Students: A Rapid Review (2023) · cites this paper as [9]
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“Synthesizing a standard systematic review, which is best suited to assess well-established topics, typically takes significant time to evaluate and analyze at least ten years of literature; therefore, fails to capture emerging issues.”
From Analysis of Mobile App-Based Mental Health Solutions for College Students: A Rapid Review (2023) · cites this paper as [9]
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From Analysis of Mobile App-Based Mental Health Solutions for College Students: A Rapid Review (2023) · cites this paper as [9]
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Heron, K. E., & Smyth, J. M. (2010) · British Journal of Health Psychology · doi:10.1348/135910709x466063 · Cited by 1,438
Firth, J., Torous, J., Nicholas, J., Carney, R., Pratap, A., Rosenbaum, S., & Sarris, J. (2017) · World Psychiatry · doi:10.1002/wps.20472 · Cited by 1,097 · cited 1×
“They also found that smartphone-based therapies yield the greatest benefits for individuals with mild to moderate, rather than major, depression (6).”
BackgroundDennison, L., Morrison, L., Conway, G., & Yardley, L. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2583 · Cited by 895
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
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 · cited 1×
“Using mobile apps to deliver these interventions has thus garnered attention as a supplement to in-person therapy and a mechanism to treat sub-clinical anxiety conditions that may lie below the threshold for anxiety disorder treatment (7).”
BackgroundSerious Games and Gamification for Mental Health: Current Status and Promising Directions
Fleming, T. M., Bavin, L., Stasiak, K., Hermansson-Webb, E., Merry, S. N., Cheek, C., Lucassen, M., Lau, H. M., Pollmuller, B., & Hetrick, S. (2017) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2016.00215 · Cited by 582
Feasibility, Acceptability, and Preliminary Efficacy of a Smartphone Intervention for Schizophrenia
Ben-Zeev, D., Brenner, C. J., Begale, M., Duffecy, J., Mohr, D. C., & Mueser, K. T. (2014) · Schizophrenia Bulletin · doi:10.1093/schbul/sbu033 · Cited by 493
mHealth: A Mechanism to Deliver More Accessible, More Effective Mental Health Care
Price, M., Yuen, E. K., Goetter, E. M., Herbert, J. D., Forman, E. M., Acierno, R., & Ruggiero, K. J. (2014) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.1855 · Cited by 488
Kauer, S. D., Reid, S. C., Crooke, A. H. D., Khor, A., Hearps, S. J. C., Jorm, A. F., Sanci, L., & Patton, G. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.1858 · Cited by 404
Yuan, S., Ma, W., Kanthawala, S., & Peng, W. (2015) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2014.0148 · Cited by 403
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Esmaeilzadeh, P., Hassanein, K., & Head, M. M. (2025) · Behaviour and Information Technology · doi:10.1080/0144929x.2025.2477754 · Cited by 17
The Acceptability of a Smartphone App (BlueIce) for University Students Who Self-harm
Cliffe, B., Stokes, Z., & Stallard, P. N. (2022) · Archives of Suicide Research · doi:10.1080/13811118.2021.2022552 · Cited by 15
Empower Psychotherapy with mHealth Apps: The Design of “Safer”, an Emotion Regulation Application
Diano, F., Sica, L. S., & Ponticorvo, M. (2023) · Information · doi:10.3390/info14060308 · Cited by 18
Yoon, S., Goh, H., Low, X. C., Weng, J. H., & Heaukulani, C. (2024) · BMJ Health & Care Informatics · doi:10.1136/bmjhci-2024-101045 · Cited by 16
Bhuiyan, N., Puzia, M., Stecher, C. D., & Huberty, J. (2021) · JMIR mhealth and uhealth · doi:10.2196/26037 · Cited by 16
Digital Treatment Paths for Substance Use Disorders (SUDs)
Bonfiglio, N. S., Mascia, M. L., & Penna, M. P. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19127322 · Cited by 15
Bennion, M. R., Hardy, G. E., Moore, R. K., Kellett, S., & Millings, A. (2019) · BMJ Health & Care Informatics · doi:10.1136/bmjhci-2019-100027 · Cited by 15
Sánchez‐Rodríguez, E., Ferreira-Valente, A., Pimenta, F., Ciaramella, A., & Miró, J. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19020854 · Cited by 13
McGillivray, L., Gan, D. Z. Q., Wong, Q. J. J., Han, J., Hetrick, S. E., Christensen, H. M., & Torok, M. H. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-058584 · Cited by 16
Antunes, E., Alcaire, R., & Amaral, I. (2022) · Social Sciences · doi:10.3390/socsci12010003 · Cited by 16
Mobile Application for Mental Health Using Machine Learning
Mendis, E. S., Kasthuriarachchi, L. W., Samarasinha, H. P. K. L., Kasthuriarachchi, S., & Rajapaksha, S. (2022) · International Conference on Advancements in Computing (ICAC) · doi:10.1109/icac57685.2022.10025036 · Cited by 14
A systematic review of features and content quality of Arabic mental mHealth apps
Alnaghaimshi, N. I. S., Awadalla, M. S., Clark, S. R., & Baumert, M. (2024) · Frontiers in Digital Health · doi:10.3389/fdgth.2024.1472251 · Cited by 15
Trusting the bot: Addressing the ethical challenges of consumer digital mental health therapy
Martinez‐Martin, N. (2020) · Developments in neuroethics and bioethics · doi:10.1016/bs.dnb.2020.03.003 · Cited by 14
Lo, B., Shi, J., Hollenberg, E., Abi-Jaoudé, A., Johnson, A., & Wiljer, D. (2020) · JMIR Mental Health · doi:10.2196/15942 · Cited by 13
Kwon, H., Choi, I. Y., Kim, D.-J., & Yoo, J. H. (2024) · Psychiatry Investigation · doi:10.30773/pi.2023.0339 · Cited by 13
“15 The criteria for classifying anxiety symptoms treatment applications include target group, main goal, duration, form, cost, and medical device status, etc. (Table 1).”
BackgroundSoh, T. Y. T., Rosdy, N. M. M. N. M., Yusof, M. Y. P. M., Hilmy, S. H. A., & Sabri, B. A. M. (2022) · Journal of Personalized Medicine · doi:10.3390/jpm12111814 · Cited by 13
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Flick, S. (2019) · Springer Reference Sozialwissenschaften · doi:10.1007/978-3-658-13154-8_19-1 · Cited by 13
Feng, H., Li, Y., Wang, Q., Tao, Y., & Wang, Z. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1582923 · Cited by 13
Feasibility and acceptability of a mobile app for prolonged grief disorder symptoms
Aeschlimann, A., Gordillo, N., Ueno, T., Maercker, A. R. A., & Killikelly, C. (2024) · Clinical Psychology in Europe · doi:10.32872/cpe.10881 · Cited by 12
Fleddermann, K., Chwastiak, L., Fortier, A., Gotham, H. J., Murphy, A., Navarro, R. L., Tapscott, S. L., & Molfenter, T. D. (2024) · The Journal of Behavioral Health Services & Research · doi:10.1007/s11414-024-09902-6 · Cited by 12
Cruz, T., Duarte, C., Ferreira, T. B., Santos, C., & Martins, M. V. (2025) · International Journal of Eating Disorders · doi:10.1002/eat.24488 · Cited by 14
Gouifrane, R., Lajane, H., Belaaouad, S., Benmokhtar, S., Lotfi, S., Dehbi, F. Z., & Radid, M. (2020) · International Journal of Emerging Technologies in Learning (iJET) · doi:10.3991/ijet.v15i18.15169 · Cited by 12
Ethical Considerations in Research on Suicide Prediction
Roberts, L. W., Berk, M. S., & Lane-McKinley, K. (2019) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2019.1228 · Cited by 12
Shim, Y., Scotney, V. S., & Tay, L. (2021) · The Journal of Positive Psychology · doi:10.1080/17439760.2021.1913642 · Cited by 14
Truong, H., & McLachlan, C. S. (2022) · Sustainability · doi:10.3390/su14073929 · Cited by 12
Kadirvelu, B., Bel, T. B., Wu, X., Burmester, V., Ananth, S., Branco, B. C. C. C., Serrano, B. G., Gledhill, J. A., Simplicio, M. C. D., Nicholls, D., et al. (2023) · JMIR Formative Research · doi:10.2196/44877 · Cited by 12
Perspective Chapter: From the Boom to Gen Z – Has Depression Changed across Generations?
Konstantinou, G., & Attia, M. (2023) · IntechOpen eBooks · doi:10.5772/intechopen.1003091 · Cited by 13
van Cuylenburg, H. C., & Ginige, T. N. D. S. (2021) · International Conference on UK-China Emerging Technologies (UCET) · doi:10.1109/ucet54125.2021.9674993 · Cited by 11
Using Remotely Supervised At-Home TES for Enhancing Mental Resilience
Paneva, J., Leunissen, I., Schuhmann, T., de Graaf, T. A., Joensson, M. G., Onarheim, B., & Sack, A. T. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.838187 · Cited by 12
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Degachi, C., Tielman, M. L., & Owayyed, M. A. (2023) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3544549.3585780 · Cited by 14
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Development and Effects of Cognitive Behavior-Based Healing Programs Using Mobile Apps
Hwang, W. J., & Jo, H. H. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18073334 · Cited by 12
Bordini, R. A., Münscher, J., Baumgartner, K. A., Hagos, S., Hornig, J., Gampe, S., Yaman, B., Korn, O., & Herzberg, P. Y. (2020) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-020-00171-6 · Cited by 10
Gentile, M., Luca, V. D., Patalano, R., Laudisio, D., Tramontano, G., Lindner, S., Mercurio, L., Salvatore, E., Farrell, J., Roller‐Wirnsberger, R., et al. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2022.998838 · Cited by 10
Cho, E., Yang, M., Jang, J., Cho, J., Kang, B., Jang, Y., & Kim, M. J. (2024) · Digital Health · doi:10.1177/20552076241249277 · Cited by 9
AI-Based Digital Therapeutics for Adolescent Mental Health Management and Disaster Response
Yoon, S. (2024) · Information · doi:10.3390/info15100620 · Cited by 14
Beaumont, E., Dagnall, N., Massey, S., & Irons, C. (2024) · Counselling and Psychotherapy Research · doi:10.1002/capr.12841 · Cited by 11
Mobile device use among inpatients on a psychiatric unit: A preliminary study
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NewCope: A Theory-Linked Mobile Application for Stress Education and Management
Carter, L., Rogith, D., Amy, F., & Myneni, S. (2019) · Studies in health technology and informatics · doi:10.3233/shti190406 · Cited by 8
Clary, K. L., Nason, E. E., Selber, K., & Smith, K. S. (2022) · Smith College Studies in Social Work · doi:10.1080/00377317.2022.2041148 · Cited by 8
Rabbani, F., Nafis, J., Akhtar, S., Siddiqui, A. R., & Merali, Z. (2025) · BMC Public Health · doi:10.1186/s12889-025-23665-5 · Cited by 8
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Halamová, J., Mihaľo, J., & Bakoš, L. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph192113759 · Cited by 9
Funnell, E. L., Martin-Key, N. A., Benáček, J., Spadaro, B., & Bahn, S. (2024) · npj Women s Health · doi:10.1038/s44294-024-00014-2 · Cited by 7
Xu, Y., Yang, H., Zhou, J., Xiang, J., Xu, H., Pokay, Y. H., Mao, H., Cai, X., Wu, Y., & Wang, D. B. (2023) · JMIR Formative Research · doi:10.2196/46494 · Cited by 11
Fabritiis, M. D., Trisolini, F., Bertuletti, G., Fagadau, I. D., Ginelli, D., Lalopa, K. P., Peverelli, L., Pirola, A., Sala, G., Maisto, M., et al. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19052711 · Cited by 7
Lim, H. C., Kolangde, S., Mohan, D., Hezam, A., Amatur, M., & Yusof, S. M. (2022) · American Journal of Multidisciplinary Research and Innovation · doi:10.54536/ajmri.v1i6.1038 · Cited by 6
Bischoff, L. L., Baumann, H., Meixner, C., Nixon, P., & Wollesen, B. (2021) · Journal of Medical Internet Research · doi:10.2196/26376 · Cited by 6
Strauss, J., Zhang, J., Jarrett, M. L., Patterson, B. A., & Ameringen, M. V. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-822201-0.00006-x · Cited by 8
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de Lima, M. G. P., da Silva, K. V. L. G., dos Santos, R. L., Martins, Á. K. L., Filgueira, M. S., Leonel, A. C. G., Lima, A. K. D. A., Costa, C. D. A., Gondim, E. T., & de Souza, L. C. D. (2022) · Research Society and Development · doi:10.33448/rsd-v11i15.37648 · Cited by 6
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Iyawa, G. E., Langan-Martin, J., Sevalie, S., & Masikara, W. (2019) · Advances in medical technologies and clinical practice book series · doi:10.4018/978-1-7998-0047-7.ch004 · Cited by 6
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Liaw, M. A. W., & Olowolayemo, A. (2020) · International Journal on Perceptive and Cognitive Computing · doi:10.31436/ijpcc.v6i2.159 · Cited by 6
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Richards, J., Fraser, H., & Douglas, G. P. (2020) · Health informatics · doi:10.1007/978-3-030-41215-9_25 · Cited by 6
Zingg, A., Carter, L., Rogith, D., Selvaraj, S., Franklin, A., & Myneni, S. (2022) · Studies in health technology and informatics · doi:10.3233/shti220198 · Cited by 6
Julià, A., Jaén, I., García‐Palacios, A., Pascual, J. C., Sintes, A., Lara, A., Méndez, I., Romero, S., Puntí, J., Soler, J., et al. (2025) · Internet Interventions · doi:10.1016/j.invent.2025.100826 · Cited by 5
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Tang, Y., Kang, Y., Wang, Y., Wang, T. Y., Zhong, C., & Gong, J. (2025) · Technology in Society · doi:10.1016/j.techsoc.2025.103045 · Cited by 9
Lin, Y. K., Aikens, J. E., de Zoysa, N., Hall, D., Funnell, M. M., Nwankwo, R. B., Kloss, K., DeJonckheere, M. J., Pop‐Busui, R., Piatt, G., et al. (2023) · JMIR Formative Research · doi:10.2196/50374 · Cited by 5
Martínez‐García, L., Fadrique‐Jiménez, A., -Galán, V.-F., Flors, C. R., & Osma, J. (2024) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-024-02679-w · Cited by 6
Châtel, B. D. L., Janssen, J. H. M., Peeters, G. M. E. E., Corten, R., Tieben, R., Deen, M., Hendriks, E. J. M., & Rikkert, M. G. M. O. (2024) · JMIR Serious Games · doi:10.2196/52640 · Cited by 10
Morley, J., Laitila, J., Ross, J. S., Schamroth, J., Zhang, J., & Floridi, L. (2025) · Minds and Machines · doi:10.1007/s11023-025-09710-7 · Cited by 5
Minen, M. T., Reichel, J. F., Pemmireddy, P., Loder, E., & Torous, J. B. (2020) · JMIR mhealth and uhealth · doi:10.2196/16180 · Cited by 6
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Boardman, S. (2021) · International Psychogeriatrics · doi:10.1017/s1041610220003385 · Cited by 5
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Gooch, D., Mehta, V., Stuart, A., Katz, D., Bennasar, M., Levine, M., Bandara, A. K., Nuseibeh, B., Bennaceur, A., & Price, B. A. (2022) · JMIR Human Factors · doi:10.2196/34606 · Cited by 5
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Perri, D., Simonetti, M., Gervasi, O., & Amato, N. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-10592-0_34 · Cited by 5
Buitenweg, D. C., van de Mheen, D., Grund, J., van Oers, H., & van Nieuwenhuizen, C. (2020) · JMIR Mental Health · doi:10.2196/19593 · Cited by 6
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Yingta, N., Nocera, J. A., Rehman, I. U., & Brew, O. (2021) · Electronic Workshops in Computing · doi:10.14236/ewic/hci2021.22 · Cited by 4
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Giber, B., Schier, M. M., Bress, J. N., Mir, Z., Diaz, J. L., Falk, A. E., Bennett, S. M., Perlis, R. H., Lee, F. S., Gunning, F. M., et al. (2025) · Molecular Psychiatry · doi:10.1038/s41380-025-03188-6 · Cited by 4
A Mobile App to Combat Loneliness and Social Isolation Among University Students.
Bordini, R. A., & Korn, O. (2020) · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) · doi:10.1145/3406324.3409260 · Cited by 4
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Drydakis, N. (2022) · Journal of Homosexuality · doi:10.1080/00918369.2022.2095240 · Cited by 5
Bordini, R. A., & Korn, O. (2022) · International Conference on Information Technology for Social Good (GoodIT) · doi:10.1145/3524458.3548489 · Cited by 4
Graf, L., Paßreiter, I. A., Kuhn, J., & Masuch, M. (2023) · SeGAH ... IEEE ... International Conference on Serious Games and Applications for Health/IEEE International Conference on Serious Games and Applications for Health · doi:10.1109/segah57547.2023.10253776 · Cited by 4
Carrière, K., Siemers, N., Thapar, S., & Knaüper, B. (2024) · mHealth · doi:10.21037/mhealth-23-56 · Cited by 4
Golsong, K., Kaufmann, L., Baldofski, S., Kohls, E., & Rummel‐Kluge, C. (2024) · JMIR Formative Research · doi:10.2196/60461 · Cited by 4
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Дворник, М. С. (2019) · Information Technologies and Learning Tools · doi:10.33407/itlt.v73i5.2760 · Cited by 5
Pozitív technológia – Hogyan segíthetik az új technológiák a teljes emberi működést?
Szondy, M. (2019) · Magyar Pszichológiai Szemle · doi:10.1556/0016.2019.74.3.9 · Cited by 4
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Bernard-Willis, Y., Oliveira, E. D., & Lakhan, S. E. (2020) · Journal of Pediatric Epilepsy · doi:10.1055/s-0040-1716825 · Cited by 4
Bordini, R. A., & Korn, O. (2021) · Annual Symposium on Computer-Human Interaction in Play · doi:10.1145/3450337.3483480 · Cited by 4
The Role of Serious Games in Healthcare and Its Contribution to the Healthcare Ecosystem
Bojan, K., Christogianni, A., & Mukaetova-Ladinska, E. B. (2022) · Advances in human and social aspects of technology book series · doi:10.4018/978-1-7998-9732-3.ch007 · Cited by 4
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Chan, G., Alslaity, A., Wilson, R., & Orji, R. (2022) · International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI) · doi:10.1145/3528575.3551444 · Cited by 4
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Emerson, M. R., Watanabe‐Galloway, S., Dinkel, D. M., Kotcherlakota, S., & Fok, L. (2020) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-020-00156-5 · Cited by 4
Raghavan, V., Khan, H. A., Seshu, U., Choudhary, A., Sangeetha, C., & Aarthi, G. (2020) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2020.102431 · Cited by 4
Ross, V., Brijs, K., Dirix, H., Wets, G., Neven, A., Vanrompay, Y., Claes, N., & Jacobs, N. (2023) · Journal of Evidence-Based Psychotherapies · doi:10.24193/jebp.2023.1.5 · Cited by 3
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Metadata
- Authors
- Chandrashekar, P.
- Affiliations
- Harvard University (US)
- Corresponding author
- Chandrashekar, Pooja
- ORCID
- Chandrashekar, Pooja
- Venue
- mHealth
- Publisher
- AME Publishing Company
- Published
- 2018-03
- Volume
- 4
- Pages
- 6-6
- ISSN
- 2306-9740 (ISSN-L)
- PMC
- PMC5897664
- OpenAlex
- W2792516940
- Cited by
- 359
- References
- 22
- Citations by year
- 2026: 27 · 2025: 41 · 2024: 53 · 2023: 43 · 2022: 70 · 2021: 58 · 2020: 42 · 2019: 24 · 2018: 1
- FWCI
- 39.41
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-nd
- Locations
- mHealth (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- 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 › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- mental health apps, mobile health, mobile application, app efficacy, mobile application design, digital mental health interventions, access to mental health care
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