Use of the Internet to Assist in the Treatment of Depression and Anxiety: A Systematic Review

Use of the Internet to Assist in the Treatment of Depression and Anxiety: A Systematic Review

Alan G. Wade, MBChB

Objective: This systematic review aims to describe the Internet’s potential role in assisting patients with depression and anxiety.

Data Sources: A MEDLINE search was conducted of articles published between 1998 and 2008 using the terms depression and anxiety and Internet, computers and depression and anxiety, Internet and compliance and depression, and Internet and adherence and depression.

Study Selection: Publications cited include articles concerned with the Internet in screening, supporting, educating, and treating patients with depression and anxiety.

Data Extraction: The efficacy of Internet-based interventions for depression and anxiety was reviewed, alongside the quality of available online information regarding these disorders.

Data Synthesis: Little progress has been made in developing a universally accepted system for quality assurance of medical information Web sites. Furthermore, there is a lack of research describing the effect of self-diagnosis sites on meaningful outcomes, such as the proportion of patients who go on to receive successful treatment for their depression. Early studies of Internet-based cognitive-behavioral therapy for depression were promising; however, results of clinical trials for “e-therapy” have been variable due to methodological issues. A novel compliance support Web site for patients with depression and anxiety is being evaluated to establish whether providing such assistance can improve patient outcomes.

Conclusions: The use of the Internet to assist patients with depression and anxiety is currently in its infancy. However, it appears that the Internet has great potential to support patients with depression and may consequently also be of benefit to physicians.

Prim Care Companion J Clin Psychiatry 2010;12(4):e1-e11

© Copyright 2010 Physicians Postgraduate Press, Inc.

Submitted: August 27, 2009; accepted November 24, 2009.

Published online: August 26, 2010 (doi:10.4088/PCC.09r00876blu).

Corresponding author: Alan G. Wade, MBChB, CPS Research, 3 Todd Campus, West of Scotland Science Park, Glasgow G20 0XA, UK ([email protected]).

In the United States, only 40% of individuals with depression or anxiety receive treatment, while in the United Kingdom, less than one-third of patients with depression are under the care of a physician for their mood disorder.1,2 Furthermore, a study performed on behalf of the World Health Organization has reported that worldwide an estimated 60% of individuals with depression are not being treated.3 There is a growing trend for patients to be proactive in addressing their health issues, with as many as 85% of patients aged 20 to 40 years wishing to be more involved in their medical treatment.4 Moreover, patients who participate actively in their own care manage their condition better and have an improved prognosis.5

Computer-based psychotherapy has evolved as an important tool for physicians, as it has the potential to reach out to, empower, and treat a large number of patients with a variety of mental disorders.6 For patients with depression and anxiety, this support may take the form of therapy programs on stand-alone computers, assistance via interactive phone response programs, or Internet-based therapy sites.6 Between 70% and 80% of adults in the United States and Western Europe have access to the World Wide Web,7,8 making it a particularly convenient medium through which to search for medical information, screen for a number of health problems, and perform self-help strategies.

It has been reported that the Internet has recently replaced clinicians as the main source of initial health and medical information for the general public in the United States; this may be due in part to the high cost of health care at a time of economic recession.9 The same survey also reported that new legislation banning direct-to-consumer pharmaceutical advertising in Europe has compelled increasingly greater numbers of patients to turn to the Internet to find information on diseases and treatments.9 The very nature of a personal computer means that queries, such as Internet searches on stigmatized illnesses, can remain anonymous and confidential. It has been reported that patients are willing to disclose more information about themselves to a computer than to their therapist, perhaps because they are fearful of communicating personal information directly to another individual.10 Furthermore, resources held on the Internet are always available, allowing users to absorb information whenever they choose and at their own pace, repeatedly viewing material if necessary.

Use of the Internet to address health care queries is particularly practical for people in remote locations, people who have mobility problems, and people who may not want to leave their home (eg, individuals with anxiety disorders or agoraphobia).11 Studies performed in Australia indicate that rates of suicide are higher in rural areas than in cities, and fewer people in rural locations—particularly young men—seek help for mental disorders.12,13 These individuals are a potentially sizeable target population for Internet-based assistance. By combining face-to-face consultations with Internet-based assistance, primary care physicians and therapists may be able to treat a greater number of patients, thus reducing waiting lists for psychological therapy. However, use of the Internet to assist with health care may not be suitable for “technophobes” or people with literacy issues.

This article systematically reviews the evidence for the use of Internet sites for patients with anxiety and depression. These sites fall into 3 categories: information, screening, and therapy sites (mainly cognitive-behavioral therapy [CBT]). In addition, the potential of the Internet as a means to increase patient compliance is discussed. Across chronic conditions, only 50% of patients take their medication as directed, reducing the benefits of therapy and potentially leading to treatment failure.14,15 Patients with depression are more likely to be noncompliant compared with individuals without depression.16 This review therefore also describes the format of a Web site that aims to motivate patients to achieve long-term remission by encouraging compliance with antidepressant medication.

METHOD

Data Sources

A MEDLINE search was conducted of articles published between January 1998 and September 2008 using the search terms: depression and anxiety and Internet, computers and depression and anxiety, Internet and compliance and depression, and Internet and adherence and depression. Searches were limited to articles in English, clinical trials, meta-analyses, randomized controlled trials, and reviews; case studies were excluded.

Study Selection

Using the stipulated limits, the MEDLINE search retrieved 75 articles. Articles concerning depression or anxiety as a comorbidity of another condition were excluded, as were articles that dealt solely with the use of stand-alone computers or telephone-interactive voice programs in the treatment of depression and anxiety. The reference lists of the remaining articles were then searched manually to identify additional articles of interest. Publications cited include articles concerning the use of the Internet in screening, educating, and treating patients with depression and anxiety.

Data Extraction

The efficacy of Internet-based interventions for depression and anxiety in clinical trials was reviewed, alongside the quality and relevance of available information regarding these disorders. The validity of Internet versions of “paper and pencil” depression and anxiety measures was also evaluated. In addition, information was included regarding compliance and adherence with medication in patients with depression and anxiety.

RESULTS

Information Sites

In 2001, approximately 20% of the total US adult population and 40% of US adults with Internet access used the World Wide Web to retrieve health information.17 By 2004, the proportion of individuals with Internet access who used the Web to search for health information had increased to 79%, and 23% of these people were looking for information on mental health issues.18 Internet use is particularly prevalent in teenagers, and mental health issues are common subjects for Internet searches in this group.19

Information sites and stigmatized illness. It has been reported that patients with stigmatized psychiatric illnesses, such as depression and anxiety, are more likely to use the Internet for health information (adjusted odds ratio [OR] = 1.4, 95% CI, 1.2-1.7) and as a means to communicate with a health care provider (adjusted OR = 2.7, 95% CI, 1.6-4.4) than individuals without stigmatized illness.10 Furthermore, patients who felt that there was a stigma associated with their depression and anxiety reported an increase in their health care utilization as a result of the information they found online (adjusted OR = 2.5, 95% CI, 1.2-5.7).10

A study of changes in response to Internet-based interventions for depression indicated that use of information sites (in this instance BluePages [http://bluepages.anu.edu.au/]) was associated with a small but statistically significant reduction (P = .031) in personal beliefs about stigma associated with depression compared with a control group of patients who did not use the site.20 However, beliefs about perceived stigma (by a third party) were not reduced in the group who used the information site compared with the control condition.20

Ensuring the quality of information sites. Major considerations when disseminating information about health disorders—particularly mental illness (psychoeducation)—via the Internet are that the information is up to date and of high quality. Griffiths and colleagues21 have developed a tool for the assessment of depression Web sites—the automated quality assessment procedure (AQA). The AQA ranks depression Web sites according to the quality of their content. In a validation study, the AQA score correlated significantly with an evidence-based rating scale that compared the consistency of Web site content with a series of statements from a systematic guide for the management of depression in the primary care setting (r = 0.85, P < .001).21 If it can be produced in a consumer-friendly format, the AQA has the potential to assist Internet users in evaluating the reliability of the health information Web sites that they access.21

DISCERN is an alternative tool for assessing the quality of information found on health information Web sites. It is an instrument comprising 15 items and an additional overall quality item, all of which are rated from 1 to 5 (http://www.discern.org.uk/discern.pdf).22,23 DISCERN scores were reported to correlate with the same evidence-based rating scale for depression as was used in the validation study of the AQA.21,24 Furthermore, Griffiths and Christensen24 reported that the correlation between the DISCERN score and the evidence-based rating scale was particularly strong when DISCERN was used by health care professionals (r = 0.80, P < .001) but was also robust when rating assessments were performed by consumers (r = 0.62, P = .002). These results indicate that DISCERN could be used by consumers to ensure that the content of depression Web sites is of high quality.24

Other methods of assessing the quality of health information sites include the use of gateways such as HealthInsite (http://www.healthinsite.gov.au/). This portal is an initiative of the Australian government that guides users to sites of high quality in addition to providing regular updates and useful information across a variety of areas such as nutrition or mental health. Labels of reliability and credibility, such as the Health on the Net Foundation’s HONcode (http://www.healthonnet.org), have also been developed for health Web sites. Worryingly, a systematic review of information sites concerned with anxiety disorders reported that the content of the sites studied was of poor-to-moderate quality, as assessed using DISCERN, and that there was no association between the fulfillment of HONcode validation criteria and the actual quality score of the Web site.25

Despite these laudable attempts and similar endeavors in other therapeutic areas, little progress has been made in developing a universally accepted system for quality assurance of Web sites. Some consensus regarding what constitutes a high-quality Web site is required if patients with depression and anxiety are to have peace of mind when accessing health information online.

Screening/Diagnosis Web Sites

Patients’ use of screening and diagnosis Web sites may encourage early diagnosis and presentation, resulting in earlier treatment and, subsequently, an improved prognosis.26 Furthermore, computerized screening for mental health disorders may reduce the burden on therapists by streamlining diagnosis and allowing more effective management of patients with anxiety and depression. Collection of information over the Internet to aid diagnosis also makes screening sites suitable for the recruitment of patients into clinical trials.27

An example of the utility of screening Web sites has been described by Allen and colleagues.28 Patients with upcoming primary care visits who agreed to participate were sent a link to a secure Internet portal called PatientSite (http://www.patientsite.org), wherein they answered targeted questions about depression, mobility, and pain.29 PatientSite was also used for “e-coaching” of patients by clinic nurses so that the patients could prioritize their queries to better use the time with their physician and to fill in worksheets about their condition to bring to their appointment.28 In total, 11% of patients screened positive for depression, and PatientSite allowed them to be better informed about their condition and to ask more directed questions during their visit. In this way, Internet screening could improve the efficiency of primary care visits, empower patients, and promote self-care.28,29 However, the patients enrolled in this study were already registered users of PatientSite and had a scheduled visit with their physician. The highly selective nature of this study population may therefore mean that the favorable results of this randomized trial are not applicable to the general public who are likely to be less proactive with regard to seeking treatment.

Currently, there is a lack of research describing the effect of self-diagnosis sites on meaningful outcomes, such as the proportion of patients who go on to receive successful treatment for their anxiety and depression. Validation studies of the available Internet sites for diagnosis of depression are described below.

Available depression scales. Many screening Web sites use validated depression scales that have been converted for remote use by patients. For example, the Edinburgh Depression Scale (EDS [originally the Edinburgh Postnatal Depression Scale]) has been converted to an Internet-based screening device comprising the 10 items that are present in the paper-based version (ie, items concerned with lack of enjoyment, inability to have fun, self-blame, self-harm, sadness, tearfulness, insomnia, panic, anxiety, and a sense of being overwhelmed).30 The Internet-based EDS was reported to have comparable internal consistency with that of the paper-based EDS. Internet-based EDS scores also correlated significantly with Internet-based Beck Depression Inventory (BDI) scores (r = 0.75, P < .001) and scores on the Internet-based Symptom Checklist-90 depression and anxiety subscales (r = 0.77 and r = 0.72, respectively, P < .001 for both). These results indicate that the Internet-based EDS could be used to screen patients for depression and anxiety with as much confidence as the paper-based version.30

Short, simple scales are particularly useful for online self-diagnosis, screening in primary care, or use during follow-up assessments, eg, the Patient Health Questionnaire-9 (PHQ-9) (http://www.patient.co.uk/showdoc/40025272/) and the Generalized Anxiety Disorder-7 (GAD-7) assessment (http://www.patient.co.uk/doctor/Generalised-Anxiety-Disorder-assessment-(GAD-7).htm). The PHQ-9 consists of 9 questions regarding patients’ self-esteem, energy, apathy, and activity levels where a score > 10 indicates moderate depression that requires intervention. The GAD-7 comprises 7 questions concerning worry, irritability, and restlessness with a score > 10 indicating moderate anxiety and a requirement for further clinical evaluation.

A number of validated scales have also been used online to screen for depression comorbid with other conditions. For example, Web-based versions of the Hospital Anxiety Depression Scale (HADS) and the Composite International Diagnostic Interview-Short Form have been used to screen for depression in patients with tinnitus and are reported to produce meaningful and valid data in this patient population.31,32 The Internet-based HADS has also been validated for use in patients with chronic fatigue syndrome.33 Furthermore, Internet versions of the BDI and the Montgomery-Asberg Depression Rating Scale (MADRS) showed high and significant correlations with their paper-based counterparts in a validation study conducted in a population of 494 patients with panic disorder.34

In addition to established depression and anxiety scales, novel tools have been developed for screening patients via the Internet. The Web-Based Depression and Anxiety Test (WB-DAT) is a freely available screening test for major depressive disorder and anxiety disorders that has been developed as a single questionnaire to assist in the diagnosis of these conditions due to their common comorbidity (http://www.depressioncenter.net/wb-dat/). Agreement between the WB-DAT and the gold standard tool for diagnosis of mental health disorders—the Structured Clinical Interview for DSM-IV Axis I Disorders35—ranged from acceptable to good (Cohen’s κ measure, 0.57 to 0.70).36 As the original validation study was performed in a trial population of 193 patients, the investigators admit that further research in a larger primary care sample would aid conclusions as to the utility of this scale.36

The Neuropsych Questionnaire (NPQ) was designed to complement face-to-face assessment of neuropsychiatric patients and can be performed at home or in the clinician’s office.37 The NPQ can be administered for a wide range of neuropsychiatric disorders and consists of 200 questions that take approximately 15 minutes to answer. The patient’s partner, caregiver, and family can also answer questions on the NPQ. Results of assessment with the NPQ can then be saved to a central database for analysis by a psychiatrist and may assist in diagnosis and save clinicians’ time during patient evaluations.37 A short form of the NPQ comprising 45 questions and requiring approximately 5 minutes to complete has also been created for follow-up assessment of patients’ symptoms over the Internet, and both versions have been shown to be reliable and capable of discriminating between different diagnoses.37 Because of its role in supporting clinicians, the NPQ has been described as an instrument for measuring patient symptoms as opposed to a tool for self-diagnosis.37

To date, despite the online availability of these validated screening and diagnosis scales, there is an absence of published data concerning the frequency of their use by the general population. Whether the use of screening and diagnosis Web sites gives patients the impetus to visit their physician is also unreported at present.

Therapy Sites

CBT involves challenging a patient’s negative thoughts and beliefs in order to change behavioral patterns and, ultimately, to address his or her condition. This therapy most often takes the form of relaxation techniques and structured written exercises to identify, discuss, and change how patients respond in certain situations. Face-to-face CBT with a therapist is the most extensively researched and widely applied form of psychotherapy38,39 and has been shown to be effective in the treatment of a number of disorders, including depression, anxiety, and sleep problems.40-42 Effect sizes of face-to-face CBT for depression were moderate (d = 0.5 to 0.7) in 2 recent meta-analyses.43,44

Internet-based CBT. Evidence has emerged of medium-to-large effect sizes for Internet-based CBT in the treatment of disorders such as social phobia, panic disorder, agoraphobia, and posttraumatic stress disorder.45-47 However, methodological issues appear to be a common problem in studies of Internet-based CBT. A systematic review of 14 randomized controlled trials of Internet sites that provide remote therapy for health disorders such as obesity, complicated grief, and insomnia has revealed that a majority of these studies (9/14 studies) had methodological limitations and were considered to be of low quality.48 For example, usual care may be a more appropriate comparator than “waiting for treatment,” which is commonly used in clinical trials of Internet-based CBT.49

Early studies of Internet-based CBT for the treatment of depression were promising; community registrants to the Australian CBT site MoodGYM (http://moodgym.anu.edu.au) reported significant reductions in self-reported scores on the Goldberg Anxiety and Depression Scales compared with baseline (P < .0005 for both).50 However, the results of clinical trials of Internet-based CBT have been somewhat variable. Table 1 shows the results of randomized controlled trials that evaluated the effectiveness of CBT sites for a number of outcomes related to depression.

Issues to consider with Internet-based CBT. The variation in effect sizes for reductions in depression conferred by online therapy sites (Table 1) indicates that they do not fully replace traditional treatment modalities for depression. Patients may need to use a number of Web sites concurrently to receive the full benefit of “e-therapy.” For example, BluePages and MoodGYM contain links to each other to allow patients to receive treatment and information regarding their condition. Furthermore, it is inappropriate to use remote therapy for patients at significant risk of suicide or self-harm. To date, randomized controlled trials of Internet therapy have excluded patients who may be suicidal by identifying (using the EDS) and randomizing patients with subthreshold depression rather than major depressive disorder, querying patient history with regard to suicide attempts, or asking questions regarding suicidal ideation as part of a screening questionnaire (eg, item 9 of the MADRS inquires as to the respondent’s will to live/zest for life).53,55,57

While the possible ramifications of using Internet-based CBT are still not completely characterized, it seems unwise to suggest that such therapy should fully replace face-to-face CBT for all patients with depression. Furthermore, there may even be the potential for “e-therapy” to exacerbate the very problems it was designed to ease. For example, the idea that Internet-based CBT may completely replace face-to-face therapy is troubling, as “e-therapy” may not be suitable for all patients, and some investigators have argued that it effectively reduces, instead of improves, patient access to effective treatment.60 In addition, the provision of low-cost Internet support for some conditions may reinforce the low priority of these groups to health service providers and to the patients themselves, further increasing their feelings of isolation. Stigmatized illnesses are also likely to remain stigmatized if they are solely discussed and treated within the confines of anonymous and remote Internet-based therapies.60

Another question that must be addressed before the use of Internet-based therapy for depression can become commonplace is whether its reported efficacy in randomized controlled trials can be translated into clinical benefits for spontaneous users of CBT Web sites. Christensen and colleagues61 compared the outcomes of the BlueMood trial (N = 182), which assessed the effects of the MoodGYM CBT site, with the experiences of public registrants to the same site (N = 3,176). Both public registrants and trial participants experienced significant changes in their anxiety and depression scores provided they completed at least 2 modules of treatment on the site.61 However, only 16% of public registrants progressed beyond the second module compared with 66% of trial participants, suggesting that regardless of whether CBT sites have value in addressing patients’ anxiety and depression, a lack of compliance with the treatment program is likely to limit the effectiveness of CBT Web sites in the real-world setting.61

A number of therapists have expressed concern that remote CBT via the Internet does not allow the development of a therapeutic relationship with the patient, leading to poor treatment outcomes. In support of this concern, a recent systematic review reported a significant correlation between the length of time that therapists spend with their clients and the consequent effect size of the therapeutic intervention (r = 0.75, P < .005).62 In addition, patients receiving remote therapy may be precluded from experiencing any placebo effect associated with being cared for by a physician. Moreover, therapy via the Internet does not allow assessment of visual cues such as body language and cannot address questions posed by users immediately. Current evidence suggests that positive relationships between clinicians and Internet therapy users are possible via time-tabled telephone contact or e-mail dialogue.55,63 Furthermore, the effectiveness of Internet-based therapy is closely associated with the level of physician-patient interaction available to site users. Effect sizes were large (d = 1.0) for the treatment of depression and anxiety with CBT via the Internet alongside support in the form of e-mail or telephone interaction, whereas effect sizes for Internet CBT given without support were small (d = 0.2 to 0.3).55

Enrolling sufficient trial participants from the community has proven to be difficult for a number of investigators. For example, Clarke and colleagues54 mailed recruitment brochures to 12,051 individuals in order to capture the 255 subjects required to meet their statistically determined sample size. The issue of obtaining statistically meaningful results is exacerbated by high rates of patient dropout in clinical trials of Internet-based CBT, which make follow-up in long-term studies difficult and also mean that the number of patients that complete each study is small (Table 1). High attrition rates make it difficult to draw firm conclusions as to the true benefits of “e-therapy”; if patients do not complete treatment within the rigorous confines of a clinical trial, it is unlikely that they will do so as unprompted consumers. Indeed, high participant dropout rates were observed in a recent study of an online computerized CBT program (Colour Your Life).59 The results of this study suggested that online CBT use was not strongly related to treatment outcome, leading the authors to speculate that unsupported online CBT may not be beneficial for patients with moderate-to-severe depression.59

Compliance and the Internet

In addition to information, screening, and therapy sites, the utility of the Internet in improving patient compliance is now being explored. Compliance describes the extent to which patients follow advice given to them by their physician. The term adherence is used to indicate that a patient is following a physician’s recommendations and reflects the patient’s involvement in decisions about his or her own health care due to an active alliance created with the health care provider. In this article, compliance and adherence will be used interchangeably.

Importance of compliance. In order to achieve long-term remission from depression, clinical guidelines recommend that drug treatment should continue for 4 to 6 months after a patient has experienced an acute episode of depression.64 A systematic review of 31 randomized trials of over 4,000 patients reported that long-term treatment with antidepressants approximately halves the absolute risk of a depressive relapse.64 However, adherence to medication was shown to decrease as the complexity and duration of treatment increase.65 Furthermore, patients with depression are 3 times less likely than nondepressed individuals to be compliant with recommendations made by their physician.16 This finding has been ascribed to a lack of optimism with regard to the possible benefits of treatment for depression, mainly due to the sense of hopelessness that is experienced by many patients with this mood disorder. Familial and social support are also important in maintaining adherence to treatment; however, isolation and withdrawal often accompany depression, increasing the likelihood that patients will not take their medication in the prescribed manner. Finally, depression may be associated with reductions in cognitive functioning that impair a patient’s ability to remember when to take his/her medication.16

Enhancing compliance. Patients who are well informed about the benefits, adverse effects, and dosing of their treatment are more likely to use their medications effectively than patients who have not been educated in this regard. Moreover, they are likely to be compliant if they understand the consequences of not taking their medication in the required way.65 A systematic review of interventions to enhance patient adherence has revealed that compliance counseling (regular discussion with patients of the importance of compliance) or a combination of compliance counseling, family therapy (involving the family in maintaining compliance), and patient education were most effective at improving clinical outcomes and compliance.65 It has been reported that only 21% of patients read the patient-information leaflet provided with their medication, which may partially explain why so many patients do not comply with their treatment regimen.66 A number of electronic devices have been developed to remind patients when it is time to take their medication, although these compliance tools have had varied success. What is needed is a multifaceted interactive support tool that not only supplies patients with information about their condition, but also explains the importance of complying with their treatment regimen and reminds them to take their medication. The Internet is well suited to fulfill this role by effectively acting as an electronic patient-information leaflet and as an enabler that can respond to specific queries, monitor a patient’s progress, and provide encouragement if necessary.

Use of iCAN. Preliminary findings in a study of 144 patients with depression who used a support Web site featuring “e-therapy,” progress monitoring, adherence reminders, and psychoeducation suggest that this approach improves clinical outcomes and adherence to treatment.67 However, these benefits were only evident in patients who received at least 8 sessions of progress-monitoring questionnaires over a 16-week period; attrition rates in this study meant that 50% of enrolled subjects did not fulfill this criterion.67

More recently, Lundbeck A/S developed the support Web site iCAN (http://www.ican.co.uk). iCAN is currently available only to patients who are receiving treatment with escitalopram who must enter the batch number of their medication in order to register. This Web site was designed to be tested exclusively in the United Kingdom, but patients from across the globe who were prescribed escitalopram have also registered to access the site.

The author was involved in the implementation of this Web site, which supports patients with depression and anxiety via discussion forums and provides regular tips about coping with their condition while encouraging them to remain compliant with their medication regimen. The Web site also provides information on the importance of remaining positive and taking medication in the prescribed manner. Furthermore, it allows patients to receive prompt feedback from physicians who are experienced in treating mood disorders through the “ask an expert” function. Patients can continually monitor their progress by completing an online HADS questionnaire at 2-week intervals. The results of each rating are then plotted longitudinally and are used in 2 ways. Within the iCAN system, an automatic feedback loop results in appropriate messages being provided to the user on the basis of his/her progress since the previous assessment. The print function allows patients to follow their progress and to identify and discuss specific episodes of good or low mood with their physician.

Patients can also keep track of their mood in an onsite diary that they can either keep confidential or share with other iCAN members, creating an interactive patient community. The HADS chart and diary are therefore a reminder to patients that remaining compliant with their medication leads to better outcomes in terms of symptom resolution and long-term remission. By using these different tools, iCAN simultaneously serves as an information site, an online therapist, and a compliance counselor and also monitors patient adherence. The intention now is to demonstrate whether providing an elaborate interactive Web site such as iCAN really does result in improved compliance and outcomes when compared with the simple provision of educational materials.

CONCLUSIONS

The main findings of this review concerning the use of the Internet by patients with depression and anxiety are summarized in Table 2. The evidence presented here shows that the Internet potentially has an increasingly important role to play in health care—in particular for the management of psychological disorders. Moreover, the Internet effectively makes therapy a 2-way street, as patients can be supported and given basic treatment while information about patients and the most effective treatment approaches can be collected both on an individual and condition-wide basis. Collection of epidemiologic and treatment data in this way promises to improve therapy for patients with depression in the future. Furthermore, the Internet is quick and easy to update, so it is an ideal tool for disseminating new and useful information to patients and clinicians alike. However, ensuring that all data are current and of high quality is an ongoing battle, and there is an unmet need for guidelines and formal regulation regarding Internet psychoeducation and therapy for patients with depression and anxiety.

Many therapy and information sites also provide a forum facility whereby site users can discuss their depression, share experiences, and support each other. These facilities are of particular value to individuals who feel isolated as a result of their illness. While these sites create a useful support network for patients, it is unlikely that alone they are sufficient to address depression and anxiety, and they also require close moderation. Therefore, discussion boards are probably most useful as an adjunct to Internet-based therapy or psychoeducation.

The applicability of therapy, particularly CBT, on the Internet should be assessed on a case-by-case basis. Favorable results with Internet-based CBT have been reported for a number of health problems, and it may also be useful as part of a stepped program of care for patients with subthreshold depression. Web-based therapy affords patients additional choices regarding their treatment, and some patients may prefer the ease of access and round-the-clock availability of online therapy. So far, Internet-based CBT for depression and anxiety has not been compared directly with face-to-face CBT, and future studies should address this gap in our knowledge,49 although the design of such a trial may prove problematic. At present, outside the strict discipline of a clinical trial, “e-therapy” appears less than optimal, and it is unlikely that the Internet would ever replace face-to-face interaction with a therapist for patients with severe depression, especially those at major risk of self-harm or suicide. Moreover, it is important to note that this systematic review has, through necessity, discussed only published data and may therefore be the subject of an implicit bias with regard to the efficacy of Internet-based therapy. It seems likely that only those studies that had successful outcomes will have been fully described in the published literature, while unsuccessful trials may have gone unreported.

As discussed above, Web-based CBT requires the development of a solid patient-therapist relationship (via telephone or e-mail) and therefore might not save therapists as much time as first surmised. The design of a study concerning the efficacy and cost-effectiveness of computer-based CBT has recently been published, and it may show whether therapy received through this medium saves physicians time, allows them the opportunity to treat more patients, and reduces expenditure for health care providers and payors.68 Recommendation of Internet-based therapy by health care providers is becoming more common, and in one recent study,69 approximately 19% of users of an Internet-based CBT site had been referred to the site by their physician. Benefits in terms of cost-effectiveness may make this form of therapy even more attractive.69

Internet therapy, screening, psychoeducation, and compliance support may only be appropriate for a subset of patients who already use the Internet regularly, eg, the affluent and educated.70 Subjects enrolled in studies to date are generally responding to recruitment via advertisement and are therefore more likely to take an active interest in their own therapy. These patients may display better outcomes than those who are more despondent as a result of their condition or who become cynical due to feeling that they are receiving a less efficacious form of treatment compared with face-to-face CBT. Further studies on the patient characteristics of people most suited to Internet-based therapy would be very useful.11

Currently, the use of the Internet in assisting patients with depression and anxiety is still in its infancy. However, the amount of data concerning Internet-based interventions for depression and anxiety is likely to increase exponentially over the next few years as the Internet becomes a more accepted vehicle for accessing health care data. The Internet also has great potential to improve patient compliance, and the effects of a novel Web-based compliance initiative are eagerly awaited.

Drug names: escitalopram (Lexapro).

Author affiliation: CPS Research, Glasgow, United Kingdom.

Potential conflicts of interest: Dr Wade has served as a consultant for, has served on the speakers or advisory boards of, and has received grant/research support and honoraria from Lundbeck A/S.

Funding/support: Editorial support was funded by Lundbeck A/S, Copenhagen, Denmark. Dr Wade was not compensated and retained full editorial control over the content of the article.

Acknowledgment: Editorial support was provided by Jane Bryant, PhD, of Anthemis Consulting Ltd, Cheshire, England, and supported by Lundbeck A/S. Dr Bryant reports no other conflicts of interest relevant to the subject of this article.

REFERENCES

1. UK Department of Health. Improving access to psychological therapies (IAPT) commissioning toolkit; 2008. http://www.dh.gov.uk/en/Publicationsandstatistics/Publications/PublicationsPolicyAndGuidance/DH_084065. Accessed October 22, 2008.

2. Wang PS, Demler O, Kessler RC. Adequacy of treatment for serious mental illness in the United States. Am J Public Health. 2002;92(1):92-98. PubMed doi:10.2105/AJPH.92.1.92

3. Kohn R, Saxena S, Levav I, et al. The treatment gap in mental health care. Bull World Health Organ. 2004;82(11):858-866. PubMed

4. Elgie R. A patient and primary care perspective: a patient’s perspective on the treatment of depression. J Clin Psychiatry. 2006;67(suppl 6):38-40. PubMed

5. Wagner EH, Bennett SM, Austin BT, et al. Finding common ground: patient-centeredness and evidence-based chronic illness care. J Altern Complement Med. 2005;11(suppl 1):S7-S15. PubMed doi:10.1089/acm.2005.11.s-7

6. Marks IM, Cavanagh K, Gega L. Hands-On Help: Computer-Based Psychotherapy. 1st ed. Hove, UK: Psychology Press; 2007.

7. Internet World Stats. 2008. http://www.Internetworldstats.com/stats.htm. Accessed October 22, 2008.

8. Strecher V. Internet methods for delivering behavioral and health-related interventions (ehealth). Annu Rev Clin Psychol. 2007;3(1):53-76. PubMed doi:10.1146/annurev.clinpsy.3.022806.091428

9. Taylor L. Internet replaces doctors in USA, DTC in Europe, as patients’ first stop for pharma info. PharmaTimes Online; 2008. http://www.pharmatimes.com/WorldNews/article.aspx?id=14523. Accessed November 17, 2008.

10. Berger M, Wagner TH, Baker LC. Internet use and stigmatized illness. Soc Sci Med. 2005;61(8):1821-1827. PubMed doi:10.1016/j.socscimed.2005.03.025

11. Emmelkamp PMG. Technological innovations in clinical assessment and psychotherapy. Psychother Psychosom. 2005;74(6):336-343. PubMed doi:10.1159/000087780

12. Caldwell TM, Jorm AF, Dear KB. Suicide and mental health in rural, remote and metropolitan areas in Australia. Med J Aust. 2004;181(suppl 7):S10-S14. PubMed

13. Parslow RA, Jorm AF. Who uses mental health services in Australia? an analysis of data from the National Survey of Mental Health and Wellbeing. Aust N Z J Psychiatry. 2000;34(6):997-1008. PubMed doi:10.1080/000486700276

14. DiMatteo MR. Enhancing patient adherence to medical recommendations. JAMA. 1994;271(1):79-83. PubMed doi:10.1001/jama.271.1.79

15. Horne R. Adherence to medication: a review of the existing literature. In: Myers LB, Midence K, eds. Adherence to Treatment in Medical Conditions. Amsterdam, The Netherlands: Harwood Academic Press; 1998:285-310.

16. DiMatteo MR, Lepper HS, Croghan TW. Depression is a risk factor for noncompliance with medical treatment: meta-analysis of the effects of anxiety and depression on patient adherence. Arch Intern Med. 2000;160(14):2101-2107. PubMed doi:10.1001/archinte.160.14.2101

17. Baker L, Wagner TH, Singer S, et al. Use of the Internet and e-mail for health care information: results from a national survey. JAMA. 2003;289(18):2400-2406. PubMed doi:10.1001/jama.289.18.2400

18. Fox S. Health information online; 2005. http://www.pewInternet.org/pdfs/PIP_Healthtopics_May05.pdf. Accessed October 22, 2008.

19. Borzekowski DL, Rickert VI VI. Urban girls, Internet use, and accessing health information. J Pediatr Adolesc Gynecol. 2000;13(2):94-95. PubMed doi:10.1016/S1083-3188(00)00029-2

20. Griffiths KM, Christensen H, Jorm AF, et al. Effect of Web-based depression literacy and cognitive-behavioural therapy interventions on stigmatising attitudes to depression: randomised controlled trial. Br J Psychiatry. 2004;185(4):342-349. PubMed doi:10.1192/bjp.185.4.342

21. Griffiths KM, Tang TT, Hawking D, et al. Automated assessment of the quality of depression Web sites. J Med Internet Res. 2005;7(5):e59. PubMed doi:10.2196/jmir.7.5.e59

22. Charnock D, Shepperd S. Learning to DISCERN online: applying an appraisal tool to health Web sites in a workshop setting. Health Educ Res. 2004;19(4):440-446. PubMed doi:10.1093/her/cyg046

23. Charnock D, Shepperd S, Needham G, et al. DISCERN: an instrument for judging the quality of written consumer health information on treatment choices. J Epidemiol Community Health. 1999;53(2):105-111. PubMed doi:10.1136/jech.53.2.105

24. Griffiths KM, Christensen H. Web site quality indicators for consumers. J Med Internet Res. 2005;7(5):e55. PubMed doi:10.2196/jmir.7.5.e55

25. Ipser JC, Dewing S, Stein DJ. A systematic review of the quality of information on the treatment of anxiety disorders on the Internet. Curr Psychiatry Rep. 2007;9(4):303-309. PubMed doi:10.1007/s11920-007-0037-3

26. Wittchen HU, Holsboer F, Jacobi F. Met and unmet needs in the management of depressive disorder in the community and primary care: the size and breadth of the problem. J Clin Psychiatry. 2001;62(suppl 26):23-28. PubMed

27. Kongsved SM, Basnov M, Holm-Christensen K, et al. Response rate and completeness of questionnaires: a randomized study of Internet versus paper-and-pencil versions. J Med Internet Res. 2007;9(3):e25. PubMed doi:10.2196/jmir.9.3.e25

28. Allen M, Iezzoni LI, Huang A, et al. Improving patient-clinician communication about chronic conditions: description of an Internet-based nurse e-coach intervention. Nurs Res. 2008;57(2):107-112. PubMed doi:10.1097/01.NNR.0000313478.47379.98

29. Leveille SG, Huang A, Tsai SB, et al. Screening for chronic conditions using a patient Internet portal: recruitment for an Internet-based primary care intervention. J Gen Intern Med. 2008;23(4):472-475. PubMed doi:10.1007/s11606-007-0443-6

30. Spek V, Nyklí­cek I, Cuijpers P, et al. Internet administration of the Edinburgh Depression Scale. J Affect Disord. 2008;106(3):301-305. PubMed doi:10.1016/j.jad.2007.07.003

31. Andersson G, Kaldo-Sandström V, Ström L, et al. Internet administration of the Hospital Anxiety and Depression Scale in a sample of tinnitus patients. J Psychosom Res. 2003;55(3):259-262. PubMed doi:10.1016/S0022-3999(02)00575-5

32. Andersson G, Carlbring P, Kaldo V, et al. Screening of psychiatric disorders via the Internet: a pilot study with tinnitus patients. Nord J Psychiatry. 2004;58(4):287-291. PubMed doi:10.1080/08039480410005792

33. McCue P, Buchanan T, Martin CR. Screening for psychological distress using Internet administration of the Hospital Anxiety and Depression Scale (HADS) in individuals with chronic fatigue syndrome. Br J Clin Psychol. 2006;45(pt 4):483-498. PubMed doi:10.1348/014466505X82379

34. Carlbring P, Brunt S, Bohman S, et al. Internet vs paper and pencil administration of questionnaires commonly used in panic/agoraphobia research. Comput Human Behav. 2007;23(3):1421-1434. doi:10.1016/j.chb.2005.05.002

35. First MB, Spitzer RL, Gibbon M, et al. Structured Clinical Interview for DSM-IV Axis I Disorders-Patient Edition (SCID-I/P, Version 2.0). New York, NY: Biometrics Research Department, New York State Psychiatric Institute; 1996.

36. Farvolden P, McBride C, Bagby RM, et al. A Web-based screening instrument for depression and anxiety disorders in primary care. J Med Internet Res. 2003;5(3):e23. PubMed doi:10.2196/jmir.5.3.e23

37. Gualtieri CT. An Internet-based symptom questionnaire that is reliable, valid, and available to psychiatrists, neurologists, and psychologists. MedGenMed. 2007;9(4):3. PubMed

38. Butler AC, Chapman JE, Forman EM, et al. The empirical status of cognitive-behavioral therapy: a review of meta-analyses. Clin Psychol Rev. 2006;26(1):17-31. PubMed doi:10.1016/j.cpr.2005.07.003

39. Norcross JC, Karpiak CP, Santoro SO. Clinical psychologists across the years: the division of clinical psychology from 1960 to 2003. J Clin Psychol. 2005;61(12):1467-1483. PubMed doi:10.1002/jclp.20135

40. Barlow DH. Anxiety and its Disorders. The Nature and Treatment of Anxiety and Panic. New York, NY: Guildford Press; 2002.

41. Hollon SD, Muñoz RF, Barlow DH, et al. Psychosocial intervention development for the prevention and treatment of depression: promoting innovation and increasing access. Biol Psychiatry. 2002;52(6):610-630. PubMed doi:10.1016/S0006-3223(02)01384-7

42. Morin CM, Hauri PJ, Espie CA, et al. Nonpharmacological treatment of chronic insomnia. Sleep. 1999;22:1134-1156. PubMed

43. Haby MM, Donnelly M, Corry J, et al. Cognitive behavioural therapy for depression, panic disorder and generalized anxiety disorder: a meta-regression of factors that may predict outcome. Aust N Z J Psychiatry. 2006;40(1):9-19. PubMed doi:10.1111/j.1440-1614.2006.01736.x

44. Klein JB, Jacobs RH, Reinecke MA. Cognitive-behavioral therapy for adolescent depression: a meta-analytic investigation of changes in effect-size estimates. J Am Acad Child Adolesc Psychiatry. 2007;46(11):1403-1413. PubMed doi:10.1097/chi.0b013e3180592aaa

45. Andersson G, Carlbring P, Holmström A, et al. Internet-based self-help with therapist feedback and in vivo group exposure for social phobia: a randomized controlled trial. J Consult Clin Psychol. 2006;74(4):677-686. PubMed doi:10.1037/0022-006X.74.4.677

46. Kiropoulos LA, Klein B, Austin DW, et al. Is Internet-based CBT for panic disorder and agoraphobia as effective as face-to-face CBT? J Anxiety Disord. 2008;22(8):1273-1284. PubMed doi:10.1016/j.janxdis.2008.01.008

47. Litz BT, Engel CC, Bryant RA, et al. A randomized, controlled proof-of-concept trial of an Internet-based, therapist-assisted self-management treatment for posttraumatic stress disorder. Am J Psychiatry. 2007;164(11):1676-1683. PubMed doi:10.1176/appi.ajp.2007.06122057

48. Postel MG, de Haan HA, De Jong CAJ. E-therapy for mental health problems: a systematic review. Telemed J E Health. 2008;14(7):707-714. PubMed doi:10.1089/tmj.2007.0111

49. Cuijpers P, van Straten A, Andersson G. Internet-administered cognitive behavior therapy for health problems: a systematic review. J Behav Med. 2008;31(2):169-177. PubMed doi:10.1007/s10865-007-9144-1

50. Christensen H, Griffiths KM, Korten A. Web-based cognitive behavior therapy: analysis of site usage and changes in depression and anxiety scores. J Med Internet Res. 2002;4(1):e3. PubMed doi:10.2196/jmir.4.1.e3

51. Clarke G, Reid E, Eubanks D, et al. Overcoming depression on the Internet (ODIN): a randomized controlled trial of an Internet depression skills intervention program. J Med Internet Res. 2002;4(3):e14. PubMed doi:10.2196/jmir.4.3.e14

52. Christensen H, Griffiths KM, Jorm AF. Delivering interventions for depression by using the Internet: randomised controlled trial. BMJ. 2004;328(7434):265. PubMed doi:10.1136/bmj.37945.566632.EE

53. Andersson G, Bergström J, Holländare F, et al. Internet-based self-help for depression: randomised controlled trial. Br J Psychiatry. 2005;187(5):456-461. PubMed doi:10.1192/bjp.187.5.456

54. Clarke G, Eubanks D, Reid E, et al. Overcoming depression on the Internet (ODIN) (2): a randomized trial of a self-help depression skills program with reminders. J Med Internet Res. 2005;7(2):e16. PubMed doi:10.2196/jmir.7.2.e16

55. Spek V, Cuijpers P, Nyklí­cek I, et al. Internet-based cognitive behaviour therapy for symptoms of depression and anxiety: a meta-analysis. Psychol Med. 2007;37(3):319-328. PubMed doi:10.1017/S0033291706008944

56. Mackinnon A, Griffiths KM, Christensen H. Comparative randomised trial of online cognitive-behavioural therapy and an information Web site for depression: 12-month outcomes. Br J Psychiatry. 2008;192(2):130-134. PubMed doi:10.1192/bjp.bp.106.032078

57. Spek V, Cuijpers P, Nyklí­cek I, et al. One-year follow-up results of a randomized controlled clinical trial on Internet-based cognitive behavioural therapy for subthreshold depression in people over 50 years. Psychol Med. 2008;38(5):635-639. PubMed doi:10.1017/S0033291707002590

58. van Straten A, Cuijpers P, Smits N. Effectiveness of a web-based self-help intervention for symptoms of depression, anxiety, and stress: randomized controlled trial. J Med Internet Res. 2008;10(1):e7. PubMed doi:10.2196/jmir.954

59. de Graaf LE, Huibers MJH, Riper H, et al. Use and acceptability of unsupported online computerized cognitive behavioral therapy for depression and associations with clinical outcome. J Affect Disord. 2009;116(3):227-231. PubMed doi:10.1016/j.jad.2008.12.009

60. Griffiths F, Lindenmeyer A, Powell J, et al. Why are health care interventions delivered over the Internet? a systematic review of the published literature. J Med Internet Res. 2006;8(2):e10. PubMed doi:10.2196/jmir.8.2.e10

61. Christensen H, Griffiths KM, Korten AE, et al. A comparison of changes in anxiety and depression symptoms of spontaneous users and trial participants of a cognitive behavior therapy Web site. J Med Internet Res. 2004;6(4):e46. PubMed doi:10.2196/jmir.6.4.e46

62. Palmqvist B, Carlbring P, Andersson G. Internet-delivered treatments with or without therapist input: does the therapist factor have implications for efficacy and cost? Exp Rev Pharmacoecon Outcomes Res. 2007;7(3):291-297. doi:10.1586/14737167.7.3.291

63. Knaevelsrud C, Maercker A. Does the quality of the working alliance predict treatment outcome in online psychotherapy for traumatized patients? J Med Internet Res. 2006;8(4):e31. PubMed doi:10.2196/jmir.8.4.e31

64. Geddes JR, Carney SM, Davies C, et al. Relapse prevention with antidepressant drug treatment in depressive disorders: a systematic review. Lancet. 2003;361(9358):653-661. PubMed doi:10.1016/S0140-6736(03)12599-8

65. McDonald HP, Garg AX, Haynes RB. Interventions to enhance patient adherence to medication prescriptions: scientific review. JAMA. 2002;288(22):2868-2879. PubMed doi:10.1001/jama.288.22.2868

66. Raynor T, Britten N. Why medicines information leaflets do nothing to promote concordance. Pharm J 2001;267:120. http://www.pharmj.com/Editorial/20010728/comment/spectrum.html. Accessed October 21, 2008.

67. Robertson L, Smith M, Castle D, et al. Using the Internet to enhance the treatment of depression. Australas Psychiatry. 2006;14(4):413-417. PubMed

68. de Graaf LE, Gerhards SAH, Evers SMAA, et al. Clinical and cost-effectiveness of computerised cognitive behavioural therapy for depression in primary care: design of a randomised trial. BMC Public Health. 2008;8(1):224. PubMed doi:10.1186/1471-2458-8-224

69. Griffiths KM, Christensen H. Internet-based mental health programs: a powerful tool in the rural medical kit. Aust J Rural Health. 2007;15(2):81-87. PubMed doi:10.1111/j.1440-1584.2007.00859.x

70. Ryan A, Wilson S. Internet healthcare: do self-diagnosis sites do more harm than good? Expert Opin Drug Saf. 2008;7(3):227-229. PubMed doi:10.1517/14740338.7.3.227