Unformatted text preview: B R I T I S H J O U R N A L O F P S YC H I AT RY ( 2 0 0 5 ) , 1 8 7, 4 5 6 ^ 4 6 1 Internet-based self-help for depression: randomised controlled trial
« « GERHARD ANDERSSON, JAN BERGSTROM, FREDRIK HOLLANDARE, BERGSTROM, HOLLANDARE, PER CARLBRING, VIKTOR KALDO and LISA EKSELIUS Background Major depression can be Background treated by means of cognitive ^ behavioural therapy, but as skilled therapists are in short supply there is a need for self-help approaches.Many individuals with depression use the internet for discussion of symptoms and to share their experience. Aims To investigate the effects of an internet-administered self-help programme including participation in a monitored, web-based discussion group, compared with participation in webbased discussion group only. Method A randomised controlled trial was conducted to compare the effects of internet-based cognitive ^ behavioural therapy with minimal therapist contact (plus participation in a discussion group) with the effects of participation in a discussion group only. Results Internet-based therapy with minimal therapist contact, combined with activity in a discussion group, resulted in greater reductions of depressive symptoms compared with activity in a discussion group only (waiting-list control group). At 6 months’follow-up, improvement was maintained to a large extent. Conclusions Internet-delivered cognitive ^ behavioural therapy should be pursued further as a complement or treatment alternative for mild-tomoderate depression. Declaration of interest None. Funding detailed in Acknowledgements. Several studies have found that selfhelp therapy can be effective for the treatment of minor-to-moderate depression (McKendree-Smith et al, 2003), including computerised self-help (Marks et al, 2003). The internet offers a new way to administer self-help treatment (Christensen & Griffiths, 2002). Among its advantages are prompt feedback, monitoring and presentation of material on a step-by-step basis. We examined the efficacy of a cognitive– behavioural self-help treatment for depression, presented and handled over the internet. Patients were recruited through advertisement. Both the treatment group and the waiting-list control group were encouraged to participate in two separate discussion groups on the internet, which were monitored by the investigators. It was predicted that the patients who received the self-help treatment would improve and that the benefits would be maintained at a 6-month follow-up assessment. complete a computerised version of the Composite International Diagnostic Interview Short-Form (CIDI–SF; Kessler et al, 1998). The Swedish version of the instrument was developed in a previous study on panic disorder (Carlbring et al, 2001), and the translation into Swedish (with back translation) has been approved by the World Health Organization. Evaluation of CIDI–SF data yields a probability of caseness ranging from 0.0 to 1.0 for the disorders of major depression, generalised anxiety, specific phobia, social phobia, agoraphobia, panic attack, obsessive– compulsive disorder, alcohol dependence and drug dependence (http://www.who.int/ msa/cidi/cidisf.htm). The score is interpreted as the probability that the respondent would meet the full diagnostic criteria if given the complete CIDI. Participants ˚ also completed the Montgomery–Asberg Montgomery–Asberg Depression Rating Scale – Self-rated ˚ (MADRS–S; Montgomery & Asberg, Asberg, 1979; Mattila-Evenden et al, 1996) on the website, and a set of background questions requesting their e-mail address; information on their age, gender, the size of town in which they lived, the three first digits of their postal code (to obtain an estimate of geographical spread within Sweden), education, occupation, medication and contacts with healthcare professionals. The following inclusion criteria was used, based on self-report: (a) a probability of 0.55 or more for the diagnosis of major depression (for the full CIDI), which is the cut-off for the CIDI–SF (Kessler et al, 1998) for estimating the presence of major depression (e.g. more items would be needed to get an even more certain diagnosis); (b) a total score on the MADRS–S between 15 and 30 (mild-to-moderate depression), including a score of less than 4 on item 9 (zest for life); this latter criterion was used to reduce any risk of including participants in need of more extensive treatment; (c) no psychosis (according to medication status); (d) no bipolar disorder; (e) no antidepressant medication begun or changed in dosage during the last month (stable medication allowed); (f) no history of cognitive–behavioural therapy for depression; (g) age 18 years or older; METHOD
The randomised controlled trial compared internet-administered self-help, including minimal therapist contact, with a waitinglist condition consisting of participation in a moderated discussion group online (Houston et al, 2002). Those in the active treatment group were also invited to participate in a separate moderated discussion group. The medical ethics committee in Uppsala, Sweden, approved the protocol. Participants were recruited through a press release and subsequent articles in Swedish newspapers. Information regarding the study was given in these articles, including the address of a website that provided general information and instructions on how to proceed for participation in the study. This included giving informed consent, which was done by e-mail. On this website participants were instructed to 456 IN T E R N E T T R E AT M E N T OF D E P R E S S I ON IN (h) prepared to work with the self-help programme several hours each week; (i) no obstacle to participation (e.g. travel abroad during the treatment, major surgery); (j) completion assessment. of the pre-treatment Participants were randomised by an independent person (not involved in the study or recruitment), who drew the numbers of the (consecutively numbered) applicants from a bowl and placed them alternately into one of two separate envelopes, which were handed to the researchers later. Once allocated to treatment or the control condition, each participant was sent an e-mail with a log-in user name. On logging in for the first time, the participants were required to fill out the pre-treatment questionnaires. However, participants were not informed about their group status until they had completed the questionnaires. Outcome measures
The principal outcome measure of depression was the 21-item Beck Depression Inventory (BDI; Beck et al, 1961), and the results are based upon this instrument. We also included MADRS–S (9 items), the 21item Beck Anxiety Inventory (BAI; Beck et al, 1988) and the Quality of Life Inventory (QoLI; Frisch et al, 1992). The QoLI includes 16 dimensions of life (e.g. health, economy); for each dimension a rating is made regarding importance (scored 0 to 2) and of how pleased the person is with that dimension (scored 73 to +3, but with no 0 alternative). The QoLI has been reported to have satisfactory reliability and validity (Frisch et al, 1992). All outcome measures were administered using the internet. Treatment conditions
The cognitive–behavioural self-help treatment was based on Beck’s cognitive therapy, as presented in numerous sources (e.g. Burns, 1999), and on behavioural activation (Lewinsohn et al, 1986; Martell et al, 2001). The material (presented in Swedish) consisted of 89 pages of text, divided into five modules: introduction; behavioural activation; cognitive restructuring; sleep and physical health; and relapse prevention and future goals. The sleep module was based on a programme for insomnia (Strom et al, 2004). Each (Strom ¨ module ended with a quiz, with questions on the content of the module. Responses were automatically sent to the therapist, who in turn gave e-mail feedback on the answers and gave the participant access to the next treatment module within 24 h. Each module was available on the website in hypertext markup language (HTML) format. The website was built by JavaServer Pages (JSP) programming and MySQL databases. The participant could also print each module by first downloading them as rich text format or as portable document format documents (PDFs). The amount of time advised for completion of all five modules was 8 weeks. However, the mean time for completion was 10 weeks. The time spent on each participant for completion of treatment was estimated to be 2 h in total, including screening, responding to emails and monitoring the discussion group. In total 506 messages were sent to the participants, which included a few e-mails sent to the control group. The discussion groups were separate and differed in their content, since the groups had different topics to discuss. For example, the treatment group could discuss the contents of the self-help material, whereas the control group was more likely to bring up topics such as sick leave and the experience of being depressed. All activity in the discussion groups was closely monitored, with the possibility of deleting inappropriate postings. However, this never occurred. In addition, the therapists in the study answered some of the questions posed by members of the discussion groups when appropriate, for example questions regarding the website. Each time a participant in either group logged on to the website, the MADRS–S was automatically administered, with the restriction that at least 7 days had to have passed since the previous form was completed. This was done in order to monitor depression levels – and in particular zest for life – on a regular weekly basis. regardless of how many treatment modules they had completed. This could also be referred to as ‘intention to treat’, as we included all those who provided posttreatment data. However, for the main outcome measure we also calculated results on a last observation carried forward basis, replacing missing values post-treatment with pre-treatment values. Since this procedure assumes that values remain frozen in time, we did not report this for all measures. Confidence intervals, analysis of variance and t-tests were used for outcome analyses. Significance was set at 0.05 and all tests were two-tailed. Power was estimated by assuming an effect size (Cohen’s d, defined as the standardised difference between groups obtained by calculating the mean difference and dividing by their pooled standard deviation) of 0.80, which would require 52 participants to obtain a power of 80% with a conventional alpha level of 0.05. The actual power for the main outcome measure with 85 participants was over 95%. RESULTS
Of the 343 persons who completed the inclusion forms, 117 (34%) were included (Fig. 1); 226 persons were excluded from the study. The most common reason for exclusion was risk of suicide (n¼77). This was measured by item 9 on the MADRS–S, and/or reported previous suicide attempts. Since the aim was to target people with mild-to-moderate depression, 67 persons were excluded after reporting severe depression (a score of more than 30 on the MADRS–S) and 36 after reporting minor depression (a score below 15 on the MADRS–S). The CIDI–SF was used to obtain a probability of diagnosis according to the full CIDI, and 32 persons were excluded after reporting a probability below 0.55 (see above). To control for effects of recent medication (e.g. initial side-effects), 65 persons who had started antidepressant medication, or altered its dosage within the last month, were excluded. Use of antipsychotic medication led to the exclusion of 2 persons. People meeting the DSM criteria for bipolar disorder (American Psychiatric Association, 1994) were excluded (n¼28). Other reasons for exclusion were not filling out the pre-treatment measures (n¼11), receiving cognitive–behavioural therapy before the trial start (n¼6), being under 18 years old Follow-up
For ethical reasons the control group members were given access to the treatment modules after the intervention group had finished their treatment. Participants were contacted by e-mail and asked to fill in the questionnaires again on the internet 6 months after the treatment had ended. Analysis
All randomised participants with followup data were included in the analyses 4 57 A N D E R S S ON E T A L Fig. 1 Trial profile. (n¼3), not being committed to working several hours a week with the programme (n¼2) and reporting obstacles to completing the programme (n¼1). Several people were excluded on more than one criterion. The 226 excluded persons were given an explanation by e-mail and individualised recommendations on where to seek help where they lived. Post-treatment measures were completed by 36 participants in the treatment group and 49 in the control group. These 85 participants were included in all statistical analyses regardless of the amount of treatment received. In total the rate of withdrawal from the programme was 27% (32 of 117). Those who withdrew did not differ significantly on pre-treatment self-report results, age, gender, educational level, place of living (e.g. size of city) or baseline BDI or QoLI scores. The main reason given for leaving the study was that the treatment was perceived as too demanding. Hence, the rates of withdrawal differed between the treatment group (37%) and the control group (18%). Participant characteristics are shown in Table 1. The study participants came from different regions within Sweden, ranging from rural areas to cities of more than 100 000 people. City dwellers constituted 45% of the sample, and hence the majority came from smaller cities, villages and places outside the larger cities (where university clinics usually are based). Outcome on self-report measures
Table 2 shows results on the outcome measures, including change scores with 95% confidence intervals. Analyses of variance with a 262 design (one group factor and one repeated-measures factor) resulted in significant interactions for the BDI (F(1,83)¼14.22; P50.001), MADRS–S (F(1,83)¼7.77; P¼0.007) and BAI (F(1,83) ¼5.72; P¼0.019). These interactions reflect differences in change scores between the active treatment and the control condition. The corresponding effect sizes (Cohen’s d between groups at posttreatment) were 0.94 for the BDI, 0.79 for the MADRS–S and 0.47 for the BAI. There was no statistically significant interaction on the QoLI (mirrored by a low effect size of 0.32). In order to check for potential confounding by medication status pre-treatment, medication status was entered as a between-group factor in the analysis. This did not affect the outcome (e.g. no significant main effect of interaction with medication status), but we acknowledge that testing for medication interaction effects in this study is unreliable, given the small sample size. Further analysis of the BDI data, replacing missing values post-treatment with pre-treatment values, also resulted in a significant improvement, with a mean reduction in score of 5.2 (95% CI 3.2– 7.1) in the treatment group and 1.5 (95% CI 70.9 to 3.2) in the control group posttreatment. The same analysis of the follow-up data (bringing last observation forward for missing data) showed a mean pre-treatment to follow-up reduction in score of 7.2 (95% CI 4.4–10.5) in the treatment group and 5.2 (95% CI 2.5–7.9) in the control group. Hence, replacing missing values with the last observation available for the full sample of 117 participants did not alter the results on the main outcome measure. Table 1 Characteristics of participants at the start of the trial T able Treatment group n¼36 Age, years: mean (s.d.) Gender: female, % Living with partner, % Education: university level, % Fewer than three self-reported episodes of depression, % Treatment history: no previous treatment for depression, % Current antidepressant medication, % Baseline BDI score: mean (s.d.) Baseline QoLI score: mean (s.d.) 22 20.5 (6.7) 70.1 (1.1) 44 36.4 (11.5) 78 66 64 33 Control group Withdrawal group n¼49 36.3 (9.9) 72 56 61 39 39 37 20.9 (8.5) 70.2 (1.6) n¼32 35.6 (10.3) 72 56 50 28 44 28 21.6 (7.2) 70.2 (1.1) BDI, Beck Depression Inventory; QoLI, Quality of Life Inventory. 458 IN T E R N E T T R E AT M E N T OF D E P R E S S I ON IN T Table 2 able Self-reported outcomes: pre-treatment, post-treatment and at 6-month follow-up Scale n Pre-treatment score Mean (s.d.) Post-treatment score Mean (s.d.) Pre^post difference Mean (95% CI) n Follow-up score1 Mean (s.d.) Pre-treatment to follow-up difference Mean (95% CI) BDI (range 0^63) Treatment Control MADRS^S (range 0^54) Treatment Control BAI (range 0^63) Treatment Control QoLI (range 76 to 6) Treatment Control 36 49 70.1 (1.1) 70.2 (1.6) 0.5 (1.6) 0.0 (1.5) 0.6 (0.2 to 1.1) 0.2 (70.2 to 0.6) 36 35 0.7 (1.7) 0.9 (1.8) 0.9 (0.4 to 1.4) 1.0 (0.5 to 1.4) 36 49 17.1 (8.2) 17.6 (8.5) 14.1 (8.4) 17.8 (9.4) 3.1 (1.2 to 4.9) 70.2 (72.2 to 1.7) 36 35 15.1 (9.3) 12.8 (8.4) 2.8 (0.3 to 5.4) 4.6 (2.1 to 7.2) 36 49 20.1 (5.7) 21.6 (7.2) 12.7 (8.3) 19.0 (7.6) 5.5 (4.6 to 10.1) 2.6 (70.4 to 4.8) 36 35 14.6 (9.2) 14.5 (9.3) 6.3 (3.2 to 9.3) 6.8 (3.9 to 9.7) 36 49 20.5 (6.7) 20.9 (8.5) 12.2 (6.8) 19.5 (8.1) 8.3 (5.7 to 10.9) 1.4 (71.1 to 3.9) 36 35 13.1 (9.1) 13.1 (7.6) 7.8 (4.6 to 11.3) 7.4 (4.0 to 10.7) BAI, Beck Anxiety Inventory; BDI, Beck Depression Inventory; MADRS ^S, Montgomery^—sberg Depression Rating Scale ^Self-rated; QoLI, Quality of Life Inventory. 1. At the follow-up assessment the control group had also completed the internet therapy programme. Adherence and modules completed
Participants in the intervention group normally reached at least the fourth module, with 65% completing all modules. The average number of modules completed was 3.7 (s.d.¼1.9). The number of modules completed was weakly correlated with post-treatment BDI scores (Spearman’s r¼70.33, P50.05). Activity in discussion groups
Activity in the discussion group was not correlated with improvement in the treatment group. However, there was a marked difference in activity between the discussion groups, with a total of 233 postings in the treatment discussion group and 842 postings in the control discussion group, which was also reflected in the mean difference between the groups of 711.0 (95% CI) 721.5 to 70.6. Overall, the form of activity differed between the groups, as the control group tended to discuss their own problems more, whereas the treatment group leaned more towards discussing the treatment. separately. At this stage the control group also had received the treatment. Analysis of the difference between the groups at follow-up revealed no statistically significant difference. Improvements between pre-treatment and follow-up were, however, found for both groups on the BDI, MADRS–S, BAI and the QoLI (see Table 2 for change scores and confidence intervals). As the control group had received treatment, we expected changes between post-treatment and follow-up for this group, but no difference for the treatment group. This assumption was confirmed by means of paired t-tests for the BDI, MADRS–S, BAI and QoLI (all P values were less than 0.05 in the control group and more than 0.05 in the treatment group). in an internet support group (Houston et al, 2002). Finally, being engaged in selfhelp seems to affect the tendency to participate in a discussion group, with less activity in the group who received the active treatment immediately. Adherence
Although self-administered treatments have shown promising results in many studies, a crucial problem is how well participants adhere to the treatment. For example, in a recent study only 41 out of 139 randomised participants were available for assessment at the 3-month follow-up (Richards et al, 2003), which makes it likely that some failed to complete the self-help material. Internet-based self-help facilitates monitoring of adherence to treatment, because modules are provided only when the previous module has been completed. There was, however, a differential rate of withdrawal between the two groups, and judging from the comments we received, some perceived the text and the exercise as too demanding. A solution to this is to adjust the text, and to allow a longer treatment period. DISCUSSION
This randomised controlled trial of internet-delivered self-help based on cognitive–behavioural therapy yielded three major results. First, the active treatment, which included standard cognitive–behavioural approaches and behavioural activation, resulted in decreased depressive symptoms immediately after treatment and at the 6-month follow-up. Benefits were also observed regarding anxiety symptoms and quality of life. Second, participation in a web-based discussion group only had no effect on depressive symptoms, which is in contrast to a study showing some benefits from participation Follow-up
At the 6-month follow-up, 71 participants (all in the treatment group and 35 in the control group) completed the questionnaires again, yielding a 16% rate of withdrawal from post-treatment to followup (0% in the treatment group and 29% in the control group). Table 2 shows the outcomes at follow-up for each group Implications for cognitive ^ behavioural therapy
Self-help treatment of depression is an attractive treatment option, as practitioners often wish to offer their clients effective psychosocial interventions, but hesitate to do so because of lengthy waiting lists (Williams & Whitfield, 2001). Indeed, 459 A N D E R S S ON E T A L developing self-help approaches has been recommended several times (Hollon et al, 2002). Our study was preceded by other applications of internet-based self-help treatments (Carlbring et al, 2001), and differs from other applications of internetbased treatments of depression (Clarke et al, 2002). First, we divided the material into modules to be provided on a consecutive basis dependent on progress. Second, individualised feedback was given by a therapist who was clearly identified with a name and a photograph on the website. In a recent review it was concluded that self-help results in effect sizes roughly equivalent to the average effect size obtained in psychotherapy studies (McKendree-Smith et al, 2003). In common with our study, most self-help studies on depression would be better described as testing minimal therapist contact treatments, as it is common to have either meetings or telephone calls to monitor progress and adherence. Internet-based self-help does not therefore exclude clinician input and can be demanding for the therapist. However, given that responses are not given directly in ‘real time’, colleagues can be consulted and specific questions can be directed to the specialist, all being done within 24 h. For example, in our study the psychiatrist was consulted about some of the participants’ questions, whereas the psychologists handled other questions dealing with the contents of the programme. It is, however, interesting to compare our findings with the results of Proudfoot et al (2003), who used a stand-alone computer in a general practice setting, and Christensen et al (2004), who used an open web page, both finding promising results. Interestingly, participation in the discussion group only did not confer any immediate benefits; this is in contrast to an observational study in which benefits were found (Houston et al, 2002). Findings in the latter study were attributed to the effects of breaking down social isolation by participation in the discussion group. As we did not include any measure of social isolation, we cannot exclude the possibility that members of our study group were less socially isolated. On the other hand, participants in the waiting-list discussion group spent more time with the discussion group compared with the therapy group, most probably because the therapy group members were occupied with the treatment. Although our study indicates that adding discussion group activity to cognitive–behavioural therapy does not yield incremental improvements, this cannot be directly inferred, given that a therapy-only group was not included. A plausible explanation for the lack of an effect in the waiting-list discussion group could be that the patients were aware of being placed on a waiting list, and hence were not expecting any change from participation in their group. Limitations
Although self-report was used to obtain a likely diagnosis using DSM criteria, no formal diagnosis was made in an interview. Hence, it is possible that people with depression were excluded and people without depression were included. However, this is not very likely, particularly the latter possibility of including people who would not fulfil DSM depression criteria in a structured interview. Internet administration of both interviews and questionnaires is a research area on its own that needs further investigation. Independent ratings by clinicians would have strengthened the self-reported findings, but was not done, given that participants were not requested to attend a research clinic. Confounding with respect to medication status cannot be ignored. First, selfreport was used to ascertain medication use. Second, those with ongoing but stabilised medication regimens were not excluded. Although no effect of medication status was found, in line with other research (Oei & Yeoh, 1999), a better approach would have been to control for medication status in the first place in order to enable investigation of drug–therapy interactions. The study period was relatively short, and it would have been preferable to have had a control group that had not received any self-help or psychotherapy at the 6month follow-up, or at least data from a less specific attention control treatment. This was not possible in the study protocol for ethical reasons. Limited access to the internet is often put forward as an argument against internet treatments, and although a large proportion of the Swedish population does have access to the internet (about 70%), there is still a significant minority who do not, and this is even more the case in countries outside northern Europe. diagnoses before initiation of treatment; in our study, we did not use a clinicianadministered interview. However, one of the potential benefits of internet-delivered treatments is that geographical distances are immaterial. Requiring participants to come in for a clinical assessment would therefore introduce a limitation. It is possible that the internet could be used for diagnoses in the future, perhaps complemented with web-camera technology or video conferencing. The validity of such procedures has yet to be assessed. Internet technology might also be used in the future for preventing relapse, perhaps in combination with medication. All these suggestions point to the importance of evaluating the cost-effectiveness of internet treatments. No attempt was made here to do this, as a proper assessment of costs would include the costs of programming and computer equipment, as well as therapist time devoted to writing the self-help material and processing the participants’ responses to the modules. Finally, effective mechanisms are yet to be disclosed, as most studies of cognitive–behavioural therapy include packages of treatment ingredients. Our study was no exception in this respect. ACKNOWLEDGEMENTS
The L.J. Boethius Foundation and Swedish Research Council are acknowledged for funding this study.We also thank Olafur Jakobsson for providing web hosting and technical support at Uppsala University Hospital, and Daniel Gidlof for JSP and database Gidlof « programming. REFERENCES
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