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Journal of Research in Health Sciences logoLink to Journal of Research in Health Sciences
. 2019 Aug 19;19(3):e00454.

Examining the Effectiveness of a Web-Based Intervention for Depressive Symptoms in Female Adolescents: Applying Social Cognitive Theory

Babak Moeini 1,2, Saeed Bashirian 1,2, Ali Reza Soltanian 3,4, Ali Ghaleiha 5, Malihe Taheri 2,*
PMCID: PMC7183555  PMID: 31586376

Abstract

Background: Depression is a serious mental health illness among adolescents especially girls. Web-based treatment can possibly become a solution for reducing mental health problems in adolescents. This study is one of the first trials aimed to evaluate the efficiency of web-based depression improvement program among female adolescents based on the Social Cognitive Theory (SCT).

Study design: Randomized Controlled Trial.

Methods: A six-month randomized controlled trial based on the SCT was implemented in female schools in Hamadan City, west of Iran in 2018 on 128 female students with mild to moderate depressive symptoms (CES-D =10-45). They were randomly assigned to either intervention or control group (n= 64 in each group). Depression improvement program was implemented through the website via short videos, animations and Power-Point slides. Depression was evaluated using Center for Epidemiologic Depression Scale. A researcher-made questionnaire based on the sheerer and Perceived-Social-Support-Scale-Revised (PSSS-R) questionnaires were used to evaluate the SCT constructs. The data were analyzed using SPSS software.

Results: The intervention program resulted in the improvement of depression in 12 wk based on Intent-to-treat analyses. Nevertheless, these achievements seem to have decreased by 24 wk in intervention group. The intervention increased the mean scores of the constructs of social support and self-regulation from baseline to 12 wk in the intervention group (P<0.05). The intervention had no effect on outcome expectations and self-efficacy. There were no statistically significant associated between theory constructs changes and changes in depression (P>0.05).

Conclusion: The web-based intervention improved depression in female students. Future training using strategies for the sustainable improvement of depression in female students are needed.

Keywords: Depression, Social cognitive theory, Web-based intervention, Adolescents

Introduction

Depressive disorders are main health problems1 and are the most common psychological disorders in adolescents with a prevalence rate of 13%-43.5%2. Girls have higher levels of depressive symptoms than boys3. Mild and moderate depression is also ordinary, with a prevalence rate of 36.2%-40.9% among Iranian adolescents4.

Development of preventive interventions based on suggestion of WHO can decrease the burden of depression, because of the high prevalence rate, serious consequences and economic burden of depression5. Adolescents encounter various obstacles to find professional help. The prolonged waiting lists, limited number of mental health professionals, direct and indirect costs of treatment, low mental health literacy and fear of stigma are some barriers to seeking help for mental illnesses6. As a solution, the internet-based interventions can assistance with achieving untreated target groups. Significantly, due to the growing accessibility to the internet, it can remove barriers to treatment for depressed individuals and healthcare professionals7. Studies on treatment using the Internet for individuals with depression revealed positive outcomes8-10. However, there is a limited evidence regarding their effectiveness among Iranian adolescents. To the best of our knowledge, only one randomized controlled trial using new technologies and with mobile application has been conducted on depression prevention in Iran11. Of course, web-based interventions have been done limitedly for other adolescents' health issues in Iran. For example, a web-based educational program was conducted to prevention of tobacco smoking among male adolescents12.

Web-based interventions with a theoretical framework are more effective13. The Social Cognitive Theory (SCT) would be appropriate for the development of a web-based behavior-change interventions14.

We aimed to examine the effectiveness of a web-based intervention for depressive symptoms in female adolescents; Application of the SCT that to our knowledge is one of the first studies of this type. Significant reduction in female student’s depression (mild and moderate level) and enhancements in SCT constructs from baseline to 24 wk will be found and changes in SCT constructs would be positively associated with changes in depression levels.

Methods

Participants

This was a randomized controlled trial on female high schools in Hamadan City, west of Iran in 2018. The prevalence of mild depression was reported 22%4. Therefore, the sample size was estimated 64 participants in each group given a confidence interval of 95%, power of 90% and attrition rate of 20%. The simple random sampling method used for sampling.

This report is part of a major study of factors associated with depression. In the first phase of the study that implemented in Hamadan in 2017, female high schools with high prevalence of depression identified15. To attain the sampling purpose of present study, among four schools with the highest rates of depression, two schools were randomly allocated to the intervention group and two schools were allocated to the control group. Students with mild to moderate depression level in selected schools were listed according to their student codes. Of which 128 students were randomly selected and were assigned into the groups (n=64 students in each group).

The selected students were informed regarding the study aim and method. Their parent/guardian were asked to sign the informed consent form. This study was approved by the Ethics Committee of Hamadan University of Medical Sciences (IR.UMSHA.REC.1394.548). The trial was also registered under the code of IRCT2016110427488N1.

Inclusion criteria were: female student, age 15-18 years, having access to Internet and the Center for Epidemiologic Studies Depression Scale (CES-D) score between 10 and 45 (mild and moderate depression). Individuals with major depression were excluded from the study and were recommended to contact a psychiatrist. Other exclusion criteria were: do not access the computer or mobile phone for connecting to the internet, taking antidepressants, current participation in an intervention targeting depression; and moving to another school. Figure 1 displays the process of sampling and recruitment.

Figure 1.

Figure 1

Flow diagram of participant recruitment and retention

Intervention

This study was performed to examine the effectiveness of the DAD (Dorehye Amozeshie Dokhtaran) course. This web-based education program had two-phases. In the first phase, qualitative study (2 interviews and a focused group discussion) was conducted on 45 female students and their needs of depression improvement website applications were identified. In the second phase, based on the data collected in the first phase, a preliminary website was development. Table 1 shows the themes extracted from the qualitative study and the included features or applications on the educational web site to address these themes.

Table 1. Themes developed from the qualitative phase used for website development .

Theme Sample quotes Website application
Professional support If I can use the comments of a psychiatrist throughout the program, it's would be much better Online chat opportunities privately and publicly with a psychiatrist
Active engagement I like to do some assignments, so I can do and send them and receive feedback Make it possible to upload assignments after each session and send personal feedback to participants
Modeling If I see similar students of people like myself who express their positive experiences to improve depression, I would love it. video of a successful girl student who dominates her depression and expresses her strategies and experiences
Meditation exercise instruction I heard that meditation and yoga helped people with depression. It is very good if you can have videos about it Meditation exercise videos
More information In addition to seeing the video and the website, I would like to have access to the main sources such as books Ability to upload pdf books in "more resource "section
Awareness raising I would like to get some information about depression. My information on this area is little and this can affect my confidence. Videos in simple words to raise awareness such as videos of university professors’ speeches
Self-efficacy applications
Depression improvement self-regulation applications Goals such as “where you are today” or “this is your target goal for today.” Or if you don’t log in for a couple of days, something like, “well, since you missed your target day, this is your target now.” Goal setting applications

DAD program

“Dorehye Amozeshie Dokhtaran” was provided in “Electronic Learning Management System” section of Hamadan University of Medical Sciences’ web site (http://lms.umsha.ac.ir/AttachmentView/24/326/3/326/Urlnull). This program was based on cognitive-behavior therapy methods to handle mild and moderate depression. For each participant, a private username and password were defined so that they could access the educational website privately.

The DAD internet intervention program was grounded in the SCT constructs as a behavioral health theory that explains behaviors in terms of a triadic and reciprocal model, in which an individual’s behavior, personal factors and the environment interact and influence each other14. The DAD program contains seven core modules including introduction and assessment, awareness-raising, positive psychology, problem-solving, thoughts and feelings, relaxation, physical exercise and lifestyle modifications. Each module was planned in a multimedia format that includes videos, real-life examples, pictures, animations, and assignments. The participants were encouraged to identify their own unproductive, insubstantial beliefs and were trained to convert these into reasonable and beneficial thinking. Doing enjoyable daily actions was also encouraged, and a mood assessment form was filled out daily for understanding the relationship between the mood level and pleasant activities. The students also had access to supplementary resources about the effects of proper nutrition on depression, assertiveness skills, health anxiety, and sleep improvements. Table 2 shows designed applications associated with the specific constructs of the SCT.

Table 2. Applications of the Social Cognitive Theory to intervention modules .

Social cognitive theory construct Modules related to the web-based program
Self- efficacy
● A video about a female student who managed to overcome her depression and transfer positive experiences (Modeling)


● Video about sub skill demonstration, instruction, and


● enactment with feedback for an enjoyable activity (physical activity)


● Video interviews to raise awareness about depression


● Videos about more practice of challenging thoughts
Outcome expectations
● An animation about the benefits and effectiveness of treating depression and the positive impact of overcoming this psychological problem.
Social support
● Online video chats with a psychiatrist,


● Emotional support was provided by other participants and project executives through the telegram group formed for this purpose


● Access to more resources for improving depression in educational website.


● Identifying automatic thoughts and core beliefs video.
Goal-Setting
● Identifying goals for changing activity videos.


● Identifying hierarchal steps to achieve behavioral goals videos.


● Possibility to download “positive thoughts” list by participants at the end of each week. Completing and uploading them and receiving feedback.


● Relaxation (meditation) exercise videos and goal setting to do it 10 minutes every day.

Individuals received gradual admission to the modules and had constant online assistance from a psychiatrist using a secure online messaging system. It consisted of eight 30-min sessions. Homework assignments were given at the end of each session. Participants were directed to complete two sessions per week.

Text messages reminders were sent to the participants via Telegram®, the most popular social network in Iran, one-half hour before each session. The participants could share experiences, actively ask questions; freely respond to others in the group.

All participants received free-of-charge online access to the internet-delivery program and no financial imposed on them. The password code automatically expired after six months.

Measures

Depression and SCT-related structures were evaluated through self-administered questionnaires at baseline, 12 wk and 24 wk after the intervention. The students acquired reminder messages via the telegram group to complete the online questionnaires.

Depressive symptoms

The CES-D evaluates the occurrence of 20 depressive symptoms in the past 7 d on a four-point Likert scale. The total score in this questionnaire was between 0 and 60, and higher scores represented the higher levels of depression. The online version of the CES-D has been revealed to be a reliable and valid screening tool 16,17. The validity and the reliability of Farsi version of this instrument were examined. Cronbach’s alpha coefficient in our study was 0.9018.

Psychosocial Measures

Social support:The Farsi version of the Perceived Social Support Scale-Revised (PSSS-R) was used. It was initially introduced17and included 12 items on a 5-point Likert scale. Derived sum scores were employed for addressing perceived support from family, friends, and significant others with a score range of 4-20. Higher scores demonstrate high-perceived social support. Reliability and validity of this scale were evaluated19. Reliability of this section of SCT scale had estimates for present study (Cronbach’s alpha=0.79).

Self-efficacy:The Farsi version of the Sherer's general self-efficacy questionnaire was used. Reliability and validity of this scale were evaluated and reported a Cronbach’s alpha coefficient of 0.8320. This 12 items questionnaire asked the participants to indicate their agreement with each item on a five-point scale. Reliability of this section of SCT scale had estimates for present study (Cronbach’s alpha=0.79).

Outcome expectations: The Outcome Expectation Scale for depression contained 7-items that requested the participants to rate their agreement with phrases regarding depression (e.g., I feel insufficiency if I look for depression treatment) on a 5-option Likert scale from, 1 (very disagree) to 5 (very agree). Reliability of this researcher made section of the SCT scale had estimated in the present study (Cronbach’s alpha=0.79). The content validity of the tool was confirmed by 5 panel’s experts.

Self-regulation:The self-regulation Scale for depression contained 7-items that requested participants to rate their agreement with phrases regarding depression (e.g., I feel worthless if I look for treatment of depression). Items were selected from a study of the self-regulation model of depression21. Reliability of this researcher made section of the SCT scale was estimated for present study (Cronbach’s alpha=0.79). The content validity of the tool was confirmed by 5 panel’s experts.

Website Satisfaction and self-reported website usage

The participants accomplished a satisfaction survey questionnaire at the end of the intervention; that assessed the students' general satisfaction with the website. This assessment included various topics such as the frequency of using the website, usefulness of the website, preferences of the website and the website overall satisfaction.

Statistical analysis

Based on Kolmogorov-Smirnov test, all of the variables met assumptions for normality. Changes in the depression and SCT constructs from baseline to 24 wk were evaluated by using repeated measures ANOVA test. Significant differences between the mean scores of depressions and SCT structures in both groups were analyzed using ANCOVA test. Multiple linear regression analysis was applied to assess the association between variations in the SCT constructs (as independent variables) and participant’s depression scores (dependent variables).

Complete case analyses and intention-to-treat (ITT) analyses were performed. ITT analyses measured data from all participants with available baseline data. Complete case analyses were used for data collected from those participants who completed the intervention (baseline, 12 wk, and 24wk). Statistical significance was set at P<0.05. The SPSS ver. 16.0 (Chicago, IL, USA) was used for data analysis.

Results

Baseline characteristics

Overall, 243 students met the inclusion criteria of which 128 were recruited. The mean age in the intervention and control groups were 16.2±0.68 and 16.5±0.60 yr, respectively. The participants’ baseline demographic characteristics were illustrated in Table 3.

Table 3. Demographic characteristics based on study groups .

Variables Control Intervention P value
Number Percent Number Percent
Mother education 0.322
>Diploma 4 6.25 3 4.60
<Diploma 60 93.75 61 95.30
Father education 0.683
>Diploma 7 10.93 9 14.06
<Diploma 57 89.06 61 85.90
Father’s occupation 0.530
Employee 62 96.87 59 92.18
Unemployed 2 3.12 5 5.81
Mother’s occupation 0.921
Employee 21 32.81 25 39.06
Housewife 43 67.18 39 60.93
School grade 0.732
10 11 17.18 12 18.75
11 21 23.81 20 31.25
12 15 23.43 16 25.00
Pre-University 17 25.56 16 25.00
Family income $ 0.381
<190 43 67.18 44 68.75
>190 21 32.81 20 31.55
Field of study 0.990
Mathematic 8 12.50 10 15.16
Experimental Sciences 13 20.31 11 17.18
Humanities 11 17.18 11 17.18
Technical 15 23.43 17 26.50
Kar va Danesh a 17 26.56 15 23.40
Place of residence 0.982
Downtown areas 32 50.00 34 53.12
Suburbs 32 50.00 30 46.80
living with parents 0.751
With two parents 57 89.06 54 84.30
With one of the parents 7 10.93 10 15.60

a A new major in Iranian high schools

Follow-up data were completed by 45 out of 64 students in the intervention group (29.6% attrition) and 50 out of 64 in the control group (21.8% attrition) at the end of the 24 wk and were regarded as study completers due to providing data at all evaluation periods. Reasons for attrition were: lack of time (n=15), technical problems (n=3), unwillingness with the study (n=7), loss of contact (n=7) and quitting from the participating school (n=1).

Qualitative findings

The Mean±SD age of female adolescents was 16.7 ± 1.86 years. The conventional content analysis resulted in identifying 276 primary codes, 14 categories, and 7 themes. Themes were as “Professional support”, “Active engagement”, “Modeling”, “Meditation Exercise Instruction”, “More information”, “Depression improvement Goal Setting Applications” and “Awareness raising” (Table 1).

Social Cognitive Theory constructs changes

In the intervention group, the intent-to-treat analyses revealed statistically significant increase in self-regulation and social support from baseline to 24 wk (P<0.05). Similar improvements in these variables were found from baseline to 12 wk (P<0.05) that statistically significant compared with the control group. No changes in other SCT variables were observed throughout the study (Table 4). Complete case analyses demonstrated the similar result.

Table 4. Changes in depression and SCT constructs before and after intervention .

Variables Before intervention Baseline to 12 wk Baseline to 24 wk P- value
Mean SD Mean SD Mean SD
Depression
Intent-to treat 24.6 11.7 18.5 14.0 19.5 10.9 0.031
Complete case 22.1 10.0 18.0 16.0 20.0 11.3 0.310
Control group 22.3 11.8 21.4 15.6 22.5 12.1 0.251
P value 0.153 0.004 0.062
Self-efficacy
Intent-to treat 2.77 0.95 2.75 1.10 2.76 1.12 0.123
Complete case 2.57 0.84 2.51 0.89 2.55 0.55 0.153
Control group 2.54 0.85 2.51 0.83 2.52 0.84 0.180
P value 0.237 0.301 0.371
Goal setting
Intent-to treat 2.20 0.61 2.55 0.68 2.42 0.61 0.030
Complete case 2.27 0/35 2.88 0.67 2.52 0.60 0.031
Control group 2.35 0.37 2.40 0.58 2.38 0.61 0.411
P value 0.420 0.021 0.023
Outcome expectation
Intent-to treat 4.17 0.63 4.15 0.59 4.13 0.59 0.421
Complete case 4.40 0.54 4.30 0.55 4.32 0.56 0.450
Control group 4.42 0.46 4.41 0.35 4.40 0.45 0.411
P value 0.159 0.240 0.159
Social support
Intent-to treat 2.67 0.95 2.99 1.04 2.95 0.88 0.002
Complete case 2.57 0.78 2.88 1.07 2.88 1.03 0.010
Control group 2.17 0.87 2.19 0.85 2.18 0.88 0.121
P value 0.120 0.011 0.071

Changes in depressive symptoms

The intent-to-treat analyses showed that the intervention group reported a statistically significant improvement on the CES-D score at the baseline (Mean=22.6, SD=10.9) to 12 wk (Mean=18.5, SD=14.0). The ANCOVA test showed that the mean score of differences of depression between the groups was statistically significant (P<0.05). Nevertheless, these results seem to have attenuated by 24 wk (Mean=19.5, SD=10.9). No changes were found in the control group during this study (Table 4).

Associations between changes in the depression and SCT constructs

There was no statistically significant association between changes in the SCT structures and depression in the intervention group in terms of self-efficacy (P=0.54), goal-setting (P=0.1), outcome (P=0.83) and social support (P= 0.23) (Table 5).

Table 5. Multiple linear regression among social cognitive theory constructs and depression .

Variables Coefficient (95% CI) P -value
Social support 0.11 (0.01, 0.22) 0.231
Self-efficacy 4.83 (2.61, 7.05) 0.542
Outcome expectations -0.22 (-2.05, 1.61) 0.832
Goal setting 5.18 (0.39, 9.96) 0.101

Discussion

After a six-month web-based intervention based on SCT, depression decreased among the DAD group after 12 weeks. The designed modules in educational website were suitable for this purpose. The effectiveness of web-based educational interventions in reducing depression in adolescents has also been shown in other studies22,23. The internet-based interventions provide effective and innovative learning experiences and improve adolescent’s access to goals24. Nevertheless, contrary to the Lokman et al25, improvement of depression in the present study was not stable in the maintenance phase. The initial improvement in depressive symptoms and reversal of symptoms has also reported in other studies 26,27. This result might be due to the little duration of the intervention in present study. In addition, there was no specific intervention for environmental contextual factors affecting depression in adolescents28. Future studies should use effective strategies to preserve preliminary depression improvements including performing a follow up after the intervention, trying to design web-based messages individual-tailored, and providing other intervention methods in parallel with the web-based intervention, such as teacher training29.Significant increase in the mean score of social support in the intervention group immediately after the intervention showed that web-based social support programs may be useful for improving depression in female adolescents. In addition, the formation of a virtual group and online communication with the physician seems to be effective to improve this structure in the present study according to other one30.

Self-regulation was enhanced in present study. This finding was consistent with other studies including a reciprocal relationship between depression and self- regulation. Depression can prevent any goal attainment, and a lack of goal setting can lead to depression31.

According to this study, the web-based intervention did not influence outcome expectations, which was contrary to the findings of other studies32. Nevertheless, the intervention group revealed comparatively high initial levels of outcome expectations and possibly allowed little room for enhancement over time due to a ceiling effect. Moreover, these measures were not sensitive enough to detect cultural complexities related to depression among Iranian female adolescents. For example, some Iranian adolescents did not believe in the positive impact of seeking professional help and stigmatizing them33. Considering the importance of this structure in improving depression34, future studies should consider how to better address this structure in web-based interventions.

There was no significant difference in self-efficacy between intervention and control groups. Adolescents with low self-efficacy need more guidance for the management of their activities35, a long duration of intervention is necessary. This finding was not consistent with other web-based studies36. Furthermore, some other factors such as uncertain professional and academic future beliefs, that is common in most Iranian adolescents, due to the social and economic conditions governing the society, can lead to such results37.

A lack of correlation between the improvement of the SCT structures and depression changes during the study could be because these structures were not effective factors on depression among Iranian female adolescences or other methods should be used.

In this study, overall satisfaction with the online application component was desirable. Seventy-eight percent of the respondents indicated that they would recommend the website to others with similar psychological conditions. Moreover, majority of female students described the website as “helpful” to “very helpful” to improve depression and "enjoyable" to "very enjoyable" for use. Of course, this finding was views of students who completed the study.

This study was the first to investigate the use of a web-based approach to improve depression based on the SCT constructs. In addition, it developed web site modules based on the findings of a qualitative study applied within 24-weeks.

As limitations, this study was conducted only on females' adolescents that might affect the generalization of findings. Moreover, there was a high rate of attrition, considered in future studies through the increased monetary incentives and the provision of other tangible items 38,39. In addition, the website was out of reach after the posttest assessment.

Conclusion

Improvements in depression, social support, as well as self-regulation in present study were reported. These results, along with self-reported website usage, revealed that probably most helpful programs existing on the website for improving depression were self-regulation and social support applications.

To our knowledge, none other SCT web-based methods were designed for improving depression among students. The results of the present research offer some initial support for effectiveness of a web-based approach for improving depression among female students. Randomized controlled designs are required for the additional assessment of the effectiveness of web-based approaches to improve depression in female adolescents.

Acknowledgements

The current study was supported by Hamadan University of Medical Sciences. The authors would like to thank all the students and schoolteachers who helped in distributing and collecting the data.

Conflict of interest

The authors declare that there is no conflict of interests.

Funding

The current study was supported by Hamadan University of Medical Sciences [grant numbers 9503181264]. The funding body had no role in the study design, the collection, analysis, and interpretation of data, writing the manuscript, or in the decision to submit the manuscript for publication.

Highlights

  • Web-based intervention for the improvement of depression can increase the constructs of the Social Cognitive Theory.

  • Increase of the constructs of social cognitive theory with depression had no statistically significant relationships.

  • Preservation of the improvement of depression during the post-intervention period requires specific strategies.

  • All construct of the Social Cognitive Theory, especially environmental factors, should be considered to reduce depression.

Citation: Moeini B, Bashirian S, Soltanian AR, Ghaleiha A, Taheri M. Examining the Effectiveness of a Web-Based Intervention for Depressive Symptoms in Female Adolescents: Applying Social Cognitive Theory. J Res Health Sci. 2019; 19(3): e00454.

References

  • 1.Vos T, Barber RM, Bell B, Bertozzi-Villa A, Biryukov S, Bolliger I. et al. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;386:743–800. doi: 10.1016/S0140-6736(15)60692-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Sajjadi H, Kamal SHM, Rafiey H, Vameghi M, Forouzan AS, Rezaei M. A systematic review of the prevalence and risk factors of depression among iranian adolescents. Glob J Health Sci. 2013;5:16–27. doi: 10.5539/gjhs.v5n3p16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Eid RS, Gobinath AR, Galea LAM. Sex differences in depression: Insights from clinical and preclinical studies. Prog Neurobiol. 2019;176:86–102. doi: 10.1016/j.pneurobio.2019.01.006. [DOI] [PubMed] [Google Scholar]
  • 4.Mohammadi MR, Alavi SS, Ahmadi N, Khaleghi A, Kamali K, Ahmadi A. et al. The prevalence, comorbidity and socio-demographic factors of depressive disorder among Iranian children and adolescents: To identify the main predictors of depression. J Affect Disord. 2019;247:1–10. doi: 10.1016/j.jad.2019.01.005. [DOI] [PubMed] [Google Scholar]
  • 5. World Health Organization. Social determinants of mental health. Geneva: WHO; 2014.
  • 6.O'Brien D, Harvey K, Howse J, Reardon T, Creswell C. Barriers to managing child and adolescent mental health problems: a systematic review of primary care practitioners' perceptions. Br J Gen Pract. 2016;66:e693–e707. doi: 10.3399/bjgp16X687061. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Folker AP, Mathiasen K, Lauridsen SM, Stenderup E, Dozeman E, Folker MP. Implementing internet-delivered cognitive behavior therapy for common mental health disorders: A comparative case study of implementation challenges perceived by therapists and managers in five European internet services. Internet Interv. 2018;11:60–70. doi: 10.1016/j.invent.2018.02.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Renton T, Tang H, Ennis N, Cusimano MD, Bhalerao S, Schweizer TA. et al. Web-based intervention programs for depression: a scoping review and evaluation. J Med Internet Res. 2014;16(9):e209. doi: 10.2196/jmir.3147. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Dorow M, Löbner M, Pabst A, Stein J, Riedel-Heller SG. Preferences for depression treatment including internet-based interventions: results from a large sample of primary care patients. Front Psychiatry. 2018;9:181. doi: 10.3389/fpsyt.2018.00181. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Gräfe Gräfe, V V, Berger T, Hautzinger M, Hohagen F, Lutz W, Meyer B. et al. Health economic evaluation of a web-based intervention for depression: the EVIDENT-trial, a randomized controlled study. Health Econ Rev. 2019;9:16. doi: 10.1186/s13561-019-0233-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Borjalilu S, Mazaheri MA, Talebpour A. Effectiveness of Mindfulness-Based Stress Management in The Mental Health of Iranian University Students: A Comparison of Blended Therapy, Face-to-Face Sessions, and mHealth App (Aramgar) Iran J Psychiatry Behav Sci. 2019;13:e84726. [Google Scholar]
  • 12.Heidarnia A, Barati M, Niknami S, Allahverdipour H, Bashirian S. Effect of a web-based educational program on prevention of tobacco smoking among male adolescents: an application of prototype willingness model. J Educ Community Health. 2016;3:1–11. [Google Scholar]
  • 13.Eccles MP, Armstrong D, Baker R, Cleary K, Davies H, Davies S. et al. An implementation research agenda. Implement Sci. 2009;4:18. doi: 10.1186/1748-5908-4-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Bandura A. Social foundations of thought and action: a social cognitive framework. Englewood Cliffs, NJ: Prentice Hall; 1986.
  • 15.Moeini B, Bashirian S, Soltanian AR, Ghaleiha A, Taheri M. Prevalence of depression and its associated sociodemographic factors among Iranian female adolescents in secondary schools. BMC Psychology. 2019;7(1):25. doi: 10.1186/s40359-019-0298-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Saulsberry A, Marko-Holguin M, Blomeke K, Hinkle C, Fogel J, Gladstone T. et al. Randomized clinical trial of a primary care internet-based intervention to prevent adolescent depression: one-year outcomes. J Can Acad Child Adolesc Psychiatry. 2013;22:106–17. [PMC free article] [PubMed] [Google Scholar]
  • 17.Van Voorhees BW, Fogel J, Reinecke MA, Gladstone T, Stuart S, Gollan J. et al. Randomized clinical trial of an Internet-based depression prevention program for adolescents (Project CATCH-IT) in primary care: 12-week outcomes. J Dev Behav Pediatr. 2009;30:23–37. doi: 10.1097/DBP.0b013e3181966c2a. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Amiri M, Mohammadi A, Forghani A. Validation of the center for epidemiological studies depression scale (CES-D) in order to screen depression in the college students. 4th National Seminar of the Students Shiraz University; Shiraz, Iran. 2008.
  • 19.Bagherian-Sararoudi R, Hajian A, Ehsan HB, Sarafraz MR, Zimet GD. Psychometric properties of the persian version of the multidimensional scale of perceived social support in iran. Int J Prev Med. 2013;4:1277–81. [PMC free article] [PubMed] [Google Scholar]
  • 20.Asgharnejad T, Ahmadi Deh Ghotbadini M, Farzad V, Khodapanahi MK. The study of psychometrics properties of Sherer self-efficacy scale. J Psychol. 2006;2(10):262–74. [Google Scholar]
  • 21. Leite CM. A self-regulation model of depression: Content of cognitive representations and prediction of treatment seeking [PhD thesis]. London, Ontario, Canada: School of Graduate and Postdoctoral Studies, The University of Western Ontario; 2011.
  • 22.Gladstone T, Terrizzi D, Stinson A, Nidetz J, Canel J, Ching E. et al. Effect of internet-based cognitive behavioral humanistic and interpersonal training vs internet-based general health education on adolescent depression in primary care: a randomized clinical trial. JAMA Netw Open. 2018;1:e184278. doi: 10.1001/jamanetworkopen.2018.4278. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Grist R, Croker A, Denne M, Stallard P. Technology delivered interventions for depression and anxiety in children and adolescents: a systematic review and meta-analysis. Clin Child Fam Psychol Rev. 2019;22:147–71. doi: 10.1007/s10567-018-0271-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Andrews G, Cuijpers P, Craske MG, McEvoy P, Titov N. Computer therapy for the anxiety and depressive disorders is effective, acceptable and practical health care: a meta-analysis. PLOS ONE. 2010;5:e13196. doi: 10.1371/journal.pone.0013196. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Lokman S, Leone SS, Sommers-Spijkerman M, van der Poel A, Smit F, Boon B. Complaint-directed mini-interventions for depressive complaints: a randomized controlled trial of unguided web-based self-help interventions. J Med Internet Res. 2017;19:e4. doi: 10.2196/jmir.6581. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.McElroy E, Napoleone E, Wolpert M, Patalay P. Structure and connectivity of depressive symptom networks corresponding to early treatment response. EClinicalMedicine. 2019;8:29–36. doi: 10.1016/j.eclinm.2019.02.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Jacka FN, O’Neil A, Opie R, Itsiopoulos C, Cotton S, Mohebbi M. et al. A randomized controlled trial of dietary improvement for adults with major depression (the ‘SMILES’ trial) BMC Medicine. 2017;15(23) doi: 10.1186/s12916-017-0791-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Henje Blom E, Ho TC, Connolly CG, LeWinn KZ, Sacchet MD, Tymofiyeva O. et al. The neuroscience and context of adolescent depression. Acta Paediatr. 2016;105:358–65. doi: 10.1111/apa.13299. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Fazel M, Hoagwood K, Stephan S, Ford T. Mental health interventions in schools 1: Mental health interventions in schools in high-income countries. Lancet Psychiatry. 2014;1:377–87. doi: 10.1016/S2215-0366(14)70312-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Turner-McGrievy GM, Tate DF. Weight loss social support in 140 characters or less: use of an online social network in a remotely delivered weight loss intervention. Transl Behav Med. 2013;3:287–94. doi: 10.1007/s13142-012-0183-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Coote HMJ, MacLeod AK. A self-help, positive goal-focused intervention to increase well-being in people with depression. Clin Psychol Psychother. 2012;19:305–15. doi: 10.1002/cpp.1797. [DOI] [PubMed] [Google Scholar]
  • 32.Cludius B, Schröder J, Moritz S. Expectancy effects in self-help depression treatment: first evidence that the rationale given for an online study impacts the outcome. Behavioural and Cognitive Psychotherapy. 2018;46:195–208. doi: 10.1017/S1352465817000571. [DOI] [PubMed] [Google Scholar]
  • 33.Taghva A, Farsi Z, Javanmard Y, Atashi A, Hajebi A, Khademi M. Stigma barriers of mental health in Iran: A qualitative study by stakeholders of mental health. Iranian Journal of Psychiatry. 2017;12:163–71. [PMC free article] [PubMed] [Google Scholar]
  • 34.Rief W, Anna Glombiewski J. The role of expectations in mental disorders and their treatment. World Psychiatry. 2017;16:210–1. doi: 10.1002/wps.20427. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Zuckerbrot RA, Cheung A, Jensen PS, Stein REK, Laraque D. Guidelines for adolescent depression in primary care (GLAD-PC): Part I practice preparation, identification, assessment, and initial management. Pediatrics. 2018;141:e20174081. doi: 10.1542/peds.2017-4081. [DOI] [PubMed] [Google Scholar]
  • 36.Clarke J, Proudfoot J, Birch M-R, Whitton AE, Parker G, Manicavasagar V. et al. Effects of mental health self-efficacy on outcomes of a mobile phone and web intervention for mild-to-moderate depression, anxiety and stress: secondary analysis of a randomised controlled trial. BMC Psychiatry. 2014;14(1):1–10. doi: 10.1186/s12888-014-0272-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Sharifi V, Mojtabai R, Shahrivar Z, Alaghband-Rad J, Zarafshan H, Wissow L. Child and Adolescent Mental Health Care in Iran: Current Status and Future Directions. Arch Iran Med. 2016;19(11):797–804. [PubMed] [Google Scholar]
  • 38.Mantzari E, Vogt F, Shemilt I, Wei Y, Higgins JPT, Marteau TM. Personal financial incentives for changing habitual health-related behaviors: A systematic review and meta-analysis. Prev Med. 2015;75:75–85. doi: 10.1016/j.ypmed.2015.03.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Neumark B, Neumark D. Small cash incentives can encourage primary care visits by low-income people with new health care coverage. Health Affairs. 2017;36:1376–84. doi: 10.1377/hlthaff.2016.1455. [DOI] [PubMed] [Google Scholar]

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