The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.
Predictors and moderators of response to internet-delivered Interpersonal Psychotherapy and Cognitive Behavior Therapy for depression
Open accessAbstract
Background By identifying which predictors and moderators lead to beneficial outcomes, accurate selection of the best initial treatment will have significant benefits for depressed individuals.Method An automated, fully self-guided randomized controlled internet-delivered noninferiority trial was conducted comparing two new interventions (Interpersonal Psychotherapy [IPT; n=620] and Cognitive Behavioral Therapy [CBT; n=610]) to an active control intervention (MoodGYM; n=613) over a period of 4 weeks to spontaneous visitors of an internet-delivered therapy website (e-couch). A range of putative predictors and moderators (socio-demographic characteristics [age, gender, marital status, education level], clinical characteristics [depression/anxiety symptoms, disability, quality of life, medication use], skills [mastery and dysfunctional attitudes] and treatment preference) were assessed using internet-delivered self-report measures at baseline and immediately following treatment and at six months follow-up. Analyses were conducted using Mixed Model Repeated Measures (MMRM).Results Female gender, lower mastery and lower dysfunctional attitudes predicted better outcome at post-test and/or follow-up regardless of intervention. No overall differential effects for condition on depression as a function of outcome were found. However, based on time-specific estimates, a significant interaction effect of age was found. For younger people, internet-delivered IPT may be the preferred treatment choice, whereas older participants derive more benefits from internet-delivered CBT programs.Limitations Although the sample of participants was large, power to detect moderator effects was still lacking.Conclusions Different e-mental health programs may be more beneficial for specific age groups. The findings raise important possibilities for increasing depression treatment effectiveness and improving clinical practice guidelines for depression treatment of different age groups.
Overview
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
Verification
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?
In the citing paper
“Although EMIs represent an important advance compared to episodic face-to-face interventions and even self-applied psychotherapy because of their traditional rigidity, it is known that not all people respond in the same way to psychological treatments [64], including the ones supported by technology [65].”
From Using Artificial Intelligence to Enhance Ongoing Psychological Interventions for Emotional Problems in Real- or Close to Real-Time: A Systematic Review (2022) · cites this paper as [65]
In the citing paper
“Despite the relatively minimal guidance provided among the prevention studies, program adherence was moderate across the studies and not dissimilar to that of clinical studies [62, 63].”
From eHealth interventions for the prevention of depression and anxiety in the general population: a systematic review and meta-analysis (2017) · cites this paper as [62]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,603
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
The CES-D Scale: A Self-Report Depression Scale for Research in the General Population
Radloff, L. S. (1977) · Applied Psychological Measurement · doi:10.1177/014662167700100306 · Cited by 53,267
A Brief Measure for Assessing Generalized Anxiety Disorder: The GAD-7
Spitzer, R. L., Kroenke, K., Williams, J. B. W., & Löwe, B. (2006) · Archives of Internal Medicine · doi:10.1001/archinte.166.10.1092 · Cited by 31,765
Cognitive Therapy for Depression
(2012) · PsycEXTRA Dataset · doi:10.1037/e675542012-001 · Cited by 9,678
Pearlin, L. I., & Schooler, C. (1978) · Journal of Health and Social Behavior · doi:10.2307/2136319 · Cited by 7,791 · cited 2×
“Mastery: The baseline 7-item Mastery Scale (Pearlin and Schooler, 1978) was used to assess perceived control.”
MethodCognitive Therapy of Depression
HOLLON, S. D., & BECK, A. T. (1979) · Cognitive-Behavioral Interventions · doi:10.1016/b978-0-12-404480-7.50012-5 · Cited by 4,685
Mediators and Moderators of Treatment Effects in Randomized Clinical Trials
Kraemer, H. C., Wilson, G. T., Fairburn, C. G., & Agras, W. S. (2002) · Archives of General Psychiatry · doi:10.1001/archpsyc.59.10.877 · Cited by 2,562 · cited 3×
“Predictors (pre-treatment variables which predict depressive outcome in all treatment groups; Kraemer et al., 2002) and moderators (pre-treatment variables identifying which individuals are more likely to benefit from a particular treatment; Kazdin, 2007) are important to identify for several reasons.”
BackgroundInfluentialEysenbach, G. (2005) · Journal of Medical Internet Research · doi:10.2196/jmir.7.1.e11 · Cited by 2,524
Mediators and Mechanisms of Change in Psychotherapy Research
Kazdin, A. E. (2007) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.3.022806.091432 · Cited by 2,504 · cited 2×
“…(pre-treatment variables which predict depressive outcome in all treatment groups; Kraemer et al., 2002) and moderators (pre-treatment variables identifying which individuals are more likely to benefit from a particular treatment; Kazdin, 2007) are important to identify for several reasons.”
Background
Flagged first, then by citations
Cited by
Sorted by citations
Ebert, D. D., Van Daele, T., Nordgreen, T., Karekla, M., Compare, A., Zarbo, C., Brugnera, A., Øverland, S., Trebbi, G., Jensen, K. L., et al. (2018) · European Psychologist · doi:10.1027/1016-9040/a000318 · Cited by 437
Digital interventions for the treatment of depression: a meta-analytic review
Moshe, I., Terhorst, Y., Philippi, P., Domhardt, M., Cuijpers, P., Cristea, I., Pulkki-Råback, L., Baumeister, H., & Sander, L. B. (2021) · Psychological Bulletin · doi:10.1037/bul0000334 · Cited by 390
Self-citationKaryotaki, E., Ebert, D. D., Donkin, L., Riper, H., Twisk, J., Burger, S., Rozental, A., Lange, A., Williams, A. D., Zarski, A. C., et al. (2018) · Clinical Psychology Review · doi:10.1016/j.cpr.2018.06.007 · Cited by 303
Self-citationEbert, D. D., Cuijpers, P., Muñoz, R. F., & Baumeister, H. (2017) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2017.00116 · Cited by 244
Deady, M., Choi, I., Calvo, R. A., Glozier, N., Christensen, H., & Harvey, S. B. (2017) · BMC Psychiatry · doi:10.1186/s12888-017-1473-1 · Cited by 222
Self-citationInternet-Based Cognitive-Behavioral Therapy for Depression: Current Progress and Future Directions
Webb, C. A., Rosso, I. M., & Rauch, S. L. (2017) · Harvard Review of Psychiatry · doi:10.1097/hrp.0000000000000139 · Cited by 217
Gender differences in adults with attention-deficit/hyperactivity disorder: A narrative review
Williamson, D., & Johnston, C. (2015) · Clinical Psychology Review · doi:10.1016/j.cpr.2015.05.005 · Cited by 226
Depression and Cognition in the Elderly
Wang, S., & Blazer, D. G. (2015) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032814-112828 · Cited by 197
A meta-analysis on heart rate variability biofeedback and depressive symptoms
Pizzoli, S. F. M., Marzorati, C., Gatti, D., Monzani, D., Mazzocco, K., & Pravettoni, G. (2021) · Scientific Reports · doi:10.1038/s41598-021-86149-7 · Cited by 170
Effect of Exergames on Depression: A Systematic Review and Meta-Analysis
Li, J., Theng, Y., & Foo, S. S.-B. (2015) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2015.0366 · Cited by 155
Internet interventions for depression: new developments
Schröder, J., Berger, T., Westermann, S., Klein, J. P., & Moritz, S. (2016) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2016.18.2/jschroeder · Cited by 105
Ponzo, S., Morelli, D., Kawadler, J. M., Hemmings, N. R., Bird, G., & Plans, D. (2020) · JMIR mHealth and uHealth · doi:10.2196/17767 · Cited by 100
Meurk, C., Leung, J., Hall, W., Head, B. W., & Whiteford, H. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.4827 · Cited by 105
Lundgren, J. G., Dahlström, Ö., Andersson, G., Jaarsma, T., Kärner Köhler, A., & Johansson, P. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5556 · Cited by 104
A systematic review of digital and face-to-face cognitive behavioral therapy for depression
Kambeitz-Ilankovic, L., Rzayeva, U., Völkel, L., Wenzel, J., Weiske, J., Jessen, F., Reininghaus, U., Uhlhaas, P. J., Alvarez-Jimenez, M., & Kambeitz, J. (2022) · npj Digital Medicine · doi:10.1038/s41746-022-00677-8 · Cited by 103
Apolinário-Hagen, J., Kemper, J., & Stürmer, C. (2017) · JMIR Mental Health · doi:10.2196/mental.6186 · Cited by 98
Gual-Montolio, P., Jaén, I., Martínez-Borba, V., Castilla, D., & Suso-Ribera, C. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19137737 · Cited by 93
Apolinário-Hagen, J., Vehreschild, V., & Alkoudmani, R. M. (2017) · JMIR Mental Health · doi:10.2196/mental.6375 · Cited by 90
“Although clinical studies have identified individual predictors of engagement or disengagement in active treatment conditions [22-25], the evidence base for predictors of help-seeking intentions and using e-mental health treatments in the general population is still scare.”
Zhou, T., Li, X., Pei, Y., Gao, J., & Kong, J. (2016) · BMC Psychiatry · doi:10.1186/s12888-016-1061-9 · Cited by 89
Moderators of response in exercise treatment for depression: A systematic review
Schuch, F. B., Dunn, A. L., Kanitz, A. C., Delevatti, R. S., & Fleck, M. P. D. A. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.01.014 · Cited by 84
Ebert, D. D., Harrer, M., Apolinário-Hagen, J., & Baumeister, H. (2019) · Advances in Experimental Medicine and Biology · doi:10.1007/978-981-32-9721-0_29 · Cited by 76
Gkintoni, E., Vassilopoulos, S. P., & Νικολάου, Γ. (2025) · Medicina · doi:10.3390/medicina61030431 · Cited by 77
The Implementation of Internet Interventions for Depression: A Scoping Review
Drozd, F., Vaskinn, L., Bergsund, H. B., Haga, S. M., Slinning, K., & Bjørkli, C. A. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5670 · Cited by 67
Male representation in randomized clinical trials of mindfulness-based therapies
Bodenlos, J. S., Strang, K., Gray-Bauer, R., Faherty, A., & Ashdown, B. K. (2017) · Mindfulness · doi:10.1007/s12671-016-0646-1 · Cited by 48
Interpersonal Psychotherapy: A Scoping Review and Historical Perspective (1974–2017)
Ravitz, P., Watson, P., Lawson, A., Constantino, M. J., Bernecker, S. L., Park, J., & Swartz, H. A. (2019) · Harvard Review of Psychiatry · doi:10.1097/hrp.0000000000000219 · Cited by 49
Internet‐Based Psychotherapy for Adult Depression: What About the Mechanisms of Change?
Mogoaşe, C., Cobeanu, O., David, D., Giosan, C., & Szentágotai, A. (2016) · Journal of Clinical Psychology · doi:10.1002/jclp.22326 · Cited by 48
Queirazza, F., Fouragnan, E. F., Steele, J. D., Cavanagh, J., & Philiastides, M. G. (2019) · Science Advances · doi:10.1126/sciadv.aav4962 · Cited by 52
A Systematic Review of Cognitive Behavioral Therapy for Depression in Veterans
Hundt, N. E., Fletcher, T. L., Robinson, A. J., & Cully, J. A. (2014) · Military Medicine · doi:10.7205/milmed-d-14-00128 · Cited by 50
Goldin, P. R., Lindholm, R., Ranta, K., Hilgert, O., Helteenvuori, T., & Raevuori, A. (2018) · JMIR Formative Research · doi:10.2196/11509 · Cited by 37
Tatschl, J. M., Hochfellner, S., & Schwerdtfeger, A. R. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00738 · Cited by 41
Webb, C. A., Olson, E. A., Killgore, W. D. S., Pizzagalli, D. A., Rauch, S. L., & Rosso, I. M. (2018) · Biological Psychiatry: Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2017.08.005 · Cited by 34
Høifødt, R. S., Mittner, M., Lillevoll, K. R., Katla, S. K., Kolstrup, N., Eisemann, M. R., Friborg, O., & Waterloo, K. K. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4351 · Cited by 35
Rutherford, E. R., Vandelanotte, C., Chapman, J., & To, Q. G. (2022) · BMC Public Health · doi:10.1186/s12889-022-14037-4 · Cited by 35
Domhardt, M., Nowak, H., Engler, S., Baumel, A., Grund, S., Mayer, A., Terhorst, Y., & Baumeister, H. (2021) · Clinical Psychology Review · doi:10.1016/j.cpr.2021.102084 · Cited by 32
Benjet, C. L., Albor, Y., Alvis–Barranco, L., Contreras‐Ibáñez, C. C., Montoya, G. P. C., Cudris–Torres, L., González, N., Morelos, J. C., Gutiérrez–García, R. A., Medina‐Mora, M. E., et al. (2023) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000846 · Cited by 37
Tng, G. Y. Q., Koh, J., Soh, X. C., Majeed, N. M., & Hartanto, A. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.04.074 · Cited by 32
A review of web-based support systems for students in higher education
Παπαδάτου-Παστού, Μ., Goozée, R., Payne, E., Barrable, A., & Tzotzoli, P. (2017) · International Journal of Mental Health Systems · doi:10.1186/s13033-017-0165-z · Cited by 35
Tanguay-Sela, M., Rollins, C. P. E., Pérez, T., Qiang, V., Golden, G. M., Tunteng, J.-F., Perlman, K., Simard, J., Benrimoh, D. A., & Margolese, H. C. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.08.041 · Cited by 32
Junge, M. N., Lehr, D., Bockting, C., Berking, M., Riper, H. M., Cuijpers, P. J., & Ebert, D. D. (2014) · Internet Interventions · doi:10.1016/j.invent.2014.11.007 · Cited by 27
Männliche Formen der Depression und deren Behandlung
Walther, A., & Seidler, Z. E. (2020) · PiD - Psychotherapie im Dialog · doi:10.1055/a-0987-5902 · Cited by 25
Chiauzzi, E. J., Williams, A. A. A., Mariano, T. Y., Pajarito, S., Robinson, A. H., Kirvin-Quamme, A., & Forman‐Hoffman, V. L. (2024) · BMC Psychiatry · doi:10.1186/s12888-024-05532-6 · Cited by 22
Bright, K. S., Mughal, M. K., Wajid, A., Lane-Smith, M., Murray, L., Roy, N., van Zanten, S. V., McNeil, D. A., Stuart, S. P., & Kingston, D. E. (2019) · Trials · doi:10.1186/s13063-019-3897-z · Cited by 27
Lüdtke, T., Westermann, S., Pult, L. K., Schneider, B. C., Pfuhl, G., & Moritz, S. (2018) · Internet Interventions · doi:10.1016/j.invent.2018.06.004 · Cited by 18
Conrad, I., Kleinstäuber, M., Jasper, K., Hiller, W., Andersson, G., & Weise, C. (2015) · International Journal of Behavioral Medicine · doi:10.1007/s12529-014-9425-3 · Cited by 21
Gasslander, N., Alfonsson, S., Jackalin, A., Tengberg, C., Håkansson, J., Huotari, L., & Buhrman, M. (2021) · BMC Psychology · doi:10.1186/s40359-021-00663-x · Cited by 20
Fadipe, M., Aggarwal, S. S., Johnson, C., & Beauchamp, J. E. S. (2023) · Journal of Psychiatric and Mental Health Nursing · doi:10.1111/jpm.12924 · Cited by 24
Müller, S., Rohde, P., Gau, J. M., & Stice, E. M. (2015) · Behaviour Research and Therapy · doi:10.1016/j.brat.2015.10.002 · Cited by 20
Beintner, I., Jacobi, C., & Taylor, C. B. (2014) · Internet Interventions · doi:10.1016/j.invent.2014.03.001 · Cited by 19
Behr, S., Garcia, L. M., Lucas, J., Kohlhase, E., Puetz, M., Boettcher, J., Schaeuffele, C., & Knaevelsrud, C. (2025) · Internet Interventions · doi:10.1016/j.invent.2025.100821 · Cited by 16
Holtmaat, K., van der Spek, N., Lissenberg-Witte, B. I., BREITBART, W. S., Cuijpers, P. J., & Leeuw, I. M. V. (2017) · Supportive Care in Cancer · doi:10.1007/s00520-017-3757-x · Cited by 18
Toyomoto, R., Sakata, M., Yoshida, K., Luo, Y., Nakagami, Y., Uwatoko, T., Shimamoto, T., Sahker, E., Tajika, A., Suga, H., et al. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.11.024 · Cited by 14
Walther, A., Ehlert, U., Schneeberger, M., Eggenberger, L., Flückiger, C., Komlenac, N., Heald, A. H., Rice, T., Palm, S., Seidler, Z. E., et al. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1129386 · Cited by 15
Beintner, I., & Jacobi, C. (2019) · Internet Interventions · doi:10.1016/j.invent.2017.11.001 · Cited by 14
Yates, B. (2020) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-071519-110415 · Cited by 12
Interpersonal psychotherapy for perinatal women: a systematic review and meta-analysis protocol
Bright, K. S., Charrois, E. M., Mughal, M. K., Wajid, A., McNeil, D., Stuart, S., Hayden, K. A., & Kingston, D. (2019) · Systematic Reviews · doi:10.1186/s13643-019-1158-6 · Cited by 13
Moshe, I., Terhorst, Y., Cuijpers, P. J., Cristea, I. A., Pulkki-Råbäck, L., & Sander, L. (2020) · JMIR Research Protocols · doi:10.2196/14860 · Cited by 14
New directions in male-tailored psychotherapy for depression
Eggenberger, L., Ehlert, U., & Walther, A. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1146078 · Cited by 12
Silverstone, P. H., Rittenbach, K., Suen, V. Y. M., Moretzsohn, A. G., Cribben, I., Bercov, M., Allen, A., Pryce, C., Hamza, D. M., & Trew, M. (2017) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2017.00032 · Cited by 12
Imamura, K., Furukawa, T. A., Matsuyama, Y., Shimazu, A., Kuribayashi, K., Kasai, K., & Kawakami, N. (2018) · Journal of Medical Internet Research · doi:10.2196/10231 · Cited by 11
Yacamán-Méndez, D., Hallgren, M. Å., & Forsell, Y. (2019) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2019.01.004 · Cited by 10
Myklebost, S. B., Gjestad, R., İnal, Y., Hammar, Å., & Nordgreen, T. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.795698 · Cited by 13
Skaczkowski, G., van der Kruk, S., Loxton, S., Hughes-Barton, D., Howell, C., Turnbull, D., Jensen, N., Smout, M., & Gunn, K. (2022) · JMIR Mental Health · doi:10.2196/31018 · Cited by 9
“Process evaluation score, n (%)b,c Total number of relevant evaluation items, N Level of evidenceaType of research evaluation studiesProgram 11 (85)13BeyondNow •• Level III-3Feasibility and effectiveness study [42] 11 (69)16—fCCId—Depression • Website: not specified • Beacone: not reviewed 12 (75)16CCI—Health Anxiety…”
BackgroundKim, H., & Choi, Y. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1554394 · Cited by 11
van Luenen, S., Kraaij, V., Spinhoven, P., & Garnefski, N. (2016) · Trials · doi:10.1186/s13063-016-1292-6 · Cited by 9
Neurological Changes and Depression
Greene, R. D., Cook, A. R., Nowaskie, D. Z., & Wang, S. (2019) · Clinics in Geriatric Medicine · doi:10.1016/j.cger.2019.11.009 · Cited by 10
Walther, A., & Eggenberger, L. (2022) · doi:10.31234/osf.io/ru9ca · Cited by 9
An Internet-Based Intervention for the Relatives of People with Mental Illnesses
Salamin, V., Ray, P., Gothuey, I., Corzani, S., & Martin-Söelch, C. (2019) · Swiss Journal of Psychology · doi:10.1024/1421-0185/a000219 · Cited by 9
Bright, K. S., Stuart, S. P., McNeil, D. A., Murray, L., & Kingston, D. E. (2022) · JMIR Formative Research · doi:10.2196/23879 · Cited by 7
Seewer, N., Skoko, A., Käll, A., Andersson, G., Berger, T., & Krieger, T. (2023) · Internet Interventions · doi:10.1016/j.invent.2023.100701 · Cited by 7
van der Wal, J. M., Arjadi, R., Nauta, M. H., Burger, H., & Bockting, C. (2020) · Behaviour Research and Therapy · doi:10.1016/j.brat.2020.103589 · Cited by 7
Nolte, S., Busija, L., Berger, T., Meyer, B., Moritz, S., Rose, M., Schröder, J., Späth, C., & Klein, J. P. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-041389 · Cited by 8
Rennick‐Egglestone, S., Newby, C., Robinson, C., Yeo, C. F., Ng, F., Elliott, R. A., Ali, Y., Llewellyn‐Beardsley, J., Pomberth, S., Harrison, J., et al. (2023) · Journal of Medical Internet Research · doi:10.2196/44687 · Cited by 6
Thielecke, J., Kuper, P. R., Ebert, D. D., Cuijpers, P. J., Smit, F., Riper, H. M., Lehr, D., & Buntrock, C. (2023) · Health Expectations · doi:10.1111/hex.13951 · Cited by 6
Moderators of the effect of guided online self-help for people with HIV and depressive symptoms
van Luenen, S., Kraaij, V., Spinhoven, P., Dusseldorp, E., & Garnefski, N. (2019) · AIDS Care · doi:10.1080/09540121.2019.1679703 · Cited by 6
Walther, A., Schneeberger, M., & Eggenberger, L. (2024) · Psychotherapy Research · doi:10.1080/10503307.2024.2398085 · Cited by 17
Antidepressive Effects of Exercise
Park, S. (2018) · 신경정신의학 · doi:10.4306/jknpa.2018.57.2.139 · Cited by 6
Neurologic Changes and Depression
Greene, R. D., & Wang, S. (2017) · Psychiatric Clinics of North America · doi:10.1016/j.psc.2017.10.009 · Cited by 7
Psychotherapy Using Electronic Media
Mucić, D., & Hilty, D. M. (2019) · Springer eBooks · doi:10.1007/978-3-030-24082-0_15 · Cited by 5
Carona, C., Pereira, M., Araújo-Pedrosa, A., Monteiro, F., Canavarro, M. C., & Fonseca, A. (2023) · Behavior Therapy · doi:10.1016/j.beth.2023.11.001 · Cited by 5
Shapiro, G. K., Mah, K., de Vries, F. E., Zimmermann, C., Li, M., Hales, S., & Rodin, G. (2022) · Journal of Psychosocial Oncology Research and Practice · doi:10.1097/or9.0000000000000076 · Cited by 4
Sayegh, C. S., Brammer, W. A., Wright, S. M., Wee, C. P., & Sherer, S. (2023) · American Journal of Psychotherapy · doi:10.1176/appi.psychotherapy.20210042 · Cited by 4
Thorwart, J. (2019) · PSYCHE · doi:10.21706/ps-73-9-852 · Cited by 4
Lv, N., Xiao, L., Rosas, L. G., Venditti, E. M., Smyth, J. M., Lewis, M. A., Snowden, M. B., Ronneberg, C. R., Williams, L. M., Gerber, B. S., et al. (2021) · Annals of Behavioral Medicine · doi:10.1093/abm/kaaa125 · Cited by 4
Hlynsson, J. I., Kristjánsson, T., Andersson, G., & Carlbring, P. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1568141 · Cited by 3
Bjornstad, G. J., Sonthalia, S., Rouse, B., Freeman, L., Hessami, N., Dunne, J. H., & Axford, N. (2024) · Campbell Systematic Reviews · doi:10.1002/cl2.1376 · Cited by 3
Internet- und mobilbasierte Interventionen zur Prävention und Behandlung psychischer Störungen
Ebert, D. D., Zarski, A., Berking, M., & Baumeister, H. (2016) · Springer eBooks · doi:10.1007/978-3-662-49504-9_20 · Cited by 4
Apolinário-Hagen, J. (2017) · Palgrave Macmillan UK eBooks · doi:10.1057/978-1-349-95173-4_12 · Cited by 3
Fernbehandlung aus psychotherapeutischer Sicht
Munz, D., Jansen, A., & Böhmig, C. (2019) · Fortschritte der Neurologie · Psychiatrie · doi:10.1055/a-0846-4908 · Cited by 3
Hong, N., Cornacchio, D., Pettit, J. W., & Comer, J. S. (2019) · Clinical Psychological Science · doi:10.1177/2167702619858111 · Cited by 3
Behr, S., García, L. M., Lucas, J., Kohlhase, E., Puetz, M., Boettcher, J., Schaeuffele, C., & Knaevelsrud, C. (2024) · doi:10.31234/osf.io/28knb · Cited by 3
Beintner, I., & Jacobi, C. (2019) · Internet Interventions · doi:10.1016/j.invent.2018.11.004 · Cited by 2
Wälchli, G., Bielinski, L. L., Bur, O., Krieger, T., Klein, J., & Berger, T. (2025) · Internet Interventions · doi:10.1016/j.invent.2025.100869 · Cited by 1
Hierarchical taxonomy of psychopathology and personalized mental health treatment selection
Argyriou, E., Prestigiacomo, C. J., Samuel, D. B., Stewart, J. C., Wu, W., & Cyders, M. A. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1597879 · Cited by 3
Stroian, P., David, D. O., Hora, A., Erenler, B., Tuominen, E. W., Vlachantonis, K., & Žagar, T. (2024) · Journal of Contextual Behavioral Science · doi:10.1016/j.jcbs.2024.100839 · Cited by 1
Age may moderate response to different unguided Internet-delivered interventions for depression
Andersson, G. (2014) · Evidence-Based Mental Health · doi:10.1136/eb-2013-101638 · Cited by 1
Granados, C., & Vargas-Nieto, J. C. (2015) · Enfoques · doi:10.24267/23898798.211 · Cited by 1
Queirazza, F., Fouragnan, E. F., Steele, J. D., Cavanagh, J., & Philiastides, M. G. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/224410 · Cited by 1
The Impact of Relationship Separation on Suicidality and Mental Health
Kazan, D. (2018) · ANU Open Research (Australian National University) · doi:10.25911/5d67b7babc65d · Cited by 1
Craighead, W. E., Klein, D. N., Gillespie, C. F., Ritschel, L. A., & Phillips, K. E. (2017) · Psychopathology · doi:10.1002/9781394258949.ch7 · Cited by 1
Metadata
- Authors
- Donker, T., Batterham, P. J., Warmerdam, L., Bennett, K., Bennett, A., Cuijpers, P., Griffiths, K. M., & Christensen, H.
- Affiliations
- Black Dog Institute (AU)
- Australian National University (AU)
- Amsterdam Public Health (NL)
- Corresponding author
- Donker, T.
- ORCID
- Venue
- Journal of Affective Disorders
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 151
- Issue
- 1
- Pages
- 343-351
- ISSN
- 0165-0327 (ISSN-L)
- OpenAlex
- W2091355781
- Cited by
- 115
- References
- 75
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 10 · 2023: 9 · 2022: 11 · 2021: 8 · 2020: 6 · 2019: 15 · 2018: 9 · 2017: 15 · 2016: 11 · 2015: 7 · 2014: 6
- FWCI
- 12.23
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Journal of Affective Disorders (publishedVersion)
- PubMed (publishedVersion)
- VU Research Portal (publishedVersion)
- ANU Open Research (Australian National University) (submittedVersion, other-oa)
- Multilingual Matters (Channel View Publications) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
- Keywords
- online therapy, interpersonal psychotherapy, cognitive behavioral therapy, depression, predictors of treatment response, treatment moderators, age differences, gender differences, mastery, dysfunctional attitudes, e-mental health, MoodGYM, treatment selection
- MeSH terms
- Adolescent, Adult, Age Factors, Attitude to Health, Depression, Female, Humans, Male, Middle Aged, Psychiatric Status Rating Scales, Psychotherapy, Sex Factors, Therapy, Computer-Assisted, Cognitive Behavioral Therapy, Treatment Outcome, Young Adult
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