A randomised controlled trial of a self-guided internet intervention promoting well-being
Introduction
Enhancing well-being at a population level is explored in this introduction in the context of two relatively young disciplines, namely positive psychology and internet interventions. An overview of theory and research in positive psychology and then internet interventions is presented as a rationale for the current study.
The positive psychology movement has helped create the research momentum necessary to broaden mental health knowledge and understanding beyond a focus on illness and its direct alleviation. Positive psychology is the scientific study of well-being and optimal functioning, focusing on positive emotions, character traits and enabling institutions (Seligman & Csikszentmihalyi, 2000). The proponents of this movement aim to bring together and develop previously disparate lines of theory and research to provide a complete picture of mental health (Duckworth et al., 2005, Seligman et al., 2005). The notion of a complete picture of health is reflected in the World Health Organisations definition of mental health as:
…a state of well-being in which the individual realizes his or her own abilities, can cope with the normal stresses of life, can work productively and fruitfully, and is able to make a contribution to his or her own community. (WHO, 2001a, p. 1).
This definition encapsulates the idea that mental health is the presence of well-being and not just the absence of mental illness. To test a model of complete mental health and psychosocial functioning Keyes (2005) surveyed a nationally representative sample of 3032 American adults. The results supported the theory that mental health and mental illness are independent but correlated axes; and not merely opposite ends of a continuum. Moreover, Keyes found that participants with no mental illness but low well-being (Keyes labels this languishing) had equivalently poor psychosocial outcomes as the participants with a mental illness. Consequently, promoting well-being and optimal psychosocial functioning is important in its own right, and not just an adjunct to mental illness treatment and prevention.
Well-being, also referred to by some researchers as happiness (these terms will be used interchangeably), is a complex construct concerned with optimal experience and functioning (Ryan & Deci, 2001). There are two major conceptual approaches to defining and measuring well-being: eudaimonic and hedonic. Aristotle (384–322 BC) first articulated the eudaimonic approach as being true to one’s inner self. In contemporary psychology this approach is best reflected by the concept of psychological well-being (PWB), which is broadly defined as the degree to which a person is fully functioning and focuses on meaning and personal growth (Ryan and Deci, 2001, Ryff, 1989). In contrast, the hedonic approach focuses on pleasure attainment and pain avoidance (Ryan & Deci, 2001) and in contemporary psychology subjective well-being (SWB) best encapsulates this approach. SWB is defined as how an individual evaluates his/her own life (Diener, 1984) and incorporates both affective (e.g., positive and negative moods or emotions) and cognitive (e.g., satisfaction judgements) components. There has been debate over the utility of the eudaimonic/hedonic divide and more recently it has been proposed that these models are not mutually exclusive and can independently and in combination provide valuable insight about well-being measurement and underlying mechanisms (Kashdan et al., 2008, Keyes et al., 2002, Ryan and Deci, 2001). Subsequently, some well-being theorists have combined both SWB and PWB into unifying models of well-being, for example, the complete state model of mental health (Keyes, 2005, Keyes, 2007) and the orientations to happiness (Peterson, Park, & Seligman, 2005).
While there is ample literature to suggest the pursuit of happiness is a worthwhile one (for a review see Lyubomirsky, King, & Diener, 2005), there is less literature focussed on whether it can be sustained or enhanced at a population level. One model of enduring, or chronic, happiness proposes three key factors that influence well-being: (1) a person’s genetically determined set point, or set range, for happiness; (2) circumstantial factors (e.g., income, location, education level and marital status) and; (3) intentional cognitive, motivational, and behavioural activities that can influence well-being (Lyubomirsky, Sheldon, & Schkade, 2005). It is proposed that this last factor, with its focus on individual psychological processes, is most amenable to change. For example, data from longitudinal studies have demonstrated that well-being can be enhanced via interventions that promote intentional activity, such as practising gratitude, committing acts of kindness, visualizing best possible future selves, and processing positive life experiences (Lyubomirsky, 2006, Lyubomirsky, Sheldon, et al., 2005). The current study set out to determine whether well-being could be enhanced by intentional activity and to extend previous research by examining whether this type of intervention can be delivered using the internet.
A key objective of mental health promotion is to deliver interventions that have demonstrated efficacy and are accessible and sustainable. Traditional forms of delivery such as mass media campaigns, or individual or group interventions that are offered through schools or the work place, may demonstrate efficacy but are not always accessible (e.g., to rural communities or small businesses) or sustainable (e.g., are costly to deliver). Mass media campaigns tend to address only the most general determinants of a particular health issue or behaviour (e.g., an Australian campaign run by VicHealth called ‘Together We Do Better’, which seeks to increase community awareness of the benefits of strong, connected and supportive communities), yet we are told that behaviour change is more likely if interventions are targeted at the individual (de Vries & Brug, 1999). The internet has the potential to address these issues of efficacy, accessibility, sustainability and delivery at an individual level, therefore providing an adjunctive health promotion delivery framework (de Vries and Brug, 1999, Evers, 2006, Mihalopoulos et al., 2005).
Over the past 20 years the internet has become an integral part of the lives of most Australians. A national survey indicated that 84% of Australians, and 60% of Australian households (9.1 million people), have access to the internet (ABS, 2006, DCITA, 2005). These household access rates are similar to those reported for the United Kingdom (60.2%) and United States (62%) (ABS, 2006, Cheeseman Day et al., 2005). People use the internet for a variety of purposes and there is a growing interest in wellness information unrelated to symptoms of illness, a medical diagnosis or other health crisis (Evers, 2006, Fox, 2006). The internet has been acknowledged by consumers, researchers, policy makers and clinicians as a valuable means of health promotion (Christensen et al., 2002, Evers, 2006, Korp, 2006).
Obtaining health information via the web has taken a variety of forms including static health educational sites, peer support groups, online health consultations and delivery of internet interventions. Ritterband et al. (2003) defined internet interventions for mental health as interventions that promote knowledge and behaviour change via web-based programs that are typically theory driven, self-paced, interactive, tailored to the user and utilise the multimedia opportunities provided by the internet. These intervention websites are generally based on effective face-to-face interventions that have been operationalised and transformed for internet delivery, for example, Panic Online – a treatment program for panic disorder (Klein and Richards, 2001, Klein et al., 2006).
The number of internet interventions available for mental health treatment and prevention is growing rapidly, as are interventions that promote health behaviour change (see Table 1). These interventions have demonstrated efficacy (e.g., reduction in symptoms or number of people meeting clinical criteria for diagnosis of a disorder, for a range of mental health disorders) and the majority are based on cognitive-behavioural approaches (Christensen et al., 2004, Klein et al., 2006, Klein et al., in pressb).
In contrast to the growing internet-based treatment and prevention literature, only one published randomised controlled trial was identified that focussed on well-being enhancement via the internet (Seligman et al., 2005). Seligman et al. (2005) used the internet for participant recruitment, data collection and intervention delivery. Five hundred and fifty-seven participants completed the pre-assessment questionnaires with 166 participants (29%) dropping out before the final 6-month assessment. Participants were randomly assigned to one of six groups including five active interventions and one placebo control. The five proposed happiness interventions included: (1) a gratitude visit; (2) identifying three good things in life; (3) identifying a time when you are at your best; (4) identifying signature strengths; and (5) identifying and using signature strengths in a new way. The placebo control involved writing about earliest memories. Participants completed a demographic survey and two questionnaires measuring depression (Centre for Epidemiological Studies – Depression Scale) and happiness (Steen Happiness Index) that were repeated on six occasions (pre-, post-assessment, 1-week, 1-, 3-, and 6-month follow-up); with reminder emails to complete the questionnaires sent at each time point. The 1-week intervention involved participants receiving instructions for their assigned activity via an email. Participants were encouraged to contact the researchers if they had any questions about the activity. Adherence to the activity was measured by a question requiring a ‘yes’ or ‘no’ response.
Using signature strengths in a new way and three good things produced significant change in the expected direction on the happiness and depression outcome measures, with benefits apparent at 6 months. The gratitude intervention was also effective in improving happiness and depression ratings, however this change lasted only 1 month. In addition, participants who reported continued adherence to the happiness intervention beyond the required 1 week, scored higher on happiness scores at all times points and lower on depression scores at 1-month follow-up, compared to those who did not continue to adhere.
A limitation of the study, from an internet interventions research perspective, was that the interventions were unlikely to qualify as a true internet intervention according to the definition provided earlier in this article (Ritterband et al., 2003). Although a website was used to recruit participants and collect data, the interventions each consisted of a single email with written instructions and did not utilise the interactive features of web-based technology.
In addition, the study was limited by a lack of clarity concerning the amount of human contact that was provided to participants. Participants were encouraged to contact the researchers if they had any questions about the intervention, but no details were published about how much human support was provided, making it unclear whether the program was self-guided or partially supported for some or all of the participants. Human supported (e.g., via email, phone, face-to-face contact) internet interventions have demonstrated larger effect sizes than pure self-help programs (Spek et al., 2007). Despite these limitations, the study demonstrated the potential for delivering mental health promotion interventions to promote well-being via the internet.
For the present study a positive psychology intervention, based on the ‘using signature strengths in a new way’ intervention (see Seligman et al., 2005), was developed and delivered via a purposely built, fully automated and interactive website. Seligman’s theory proposes that there are three orientations that promote happiness (i.e., pleasure, engagement and meaning) and this intervention activates the engagement orientation to happiness by helping people think about and use their personal strengths in a new way. The aim of this study was to test the efficacy of the internet intervention over time and in comparison to a cognitive-behavioural intervention (i.e., problem solving), as typically used in the treatment and prevention literature, and a placebo control. It was hypothesised that: (1) the strengths group would demonstrate an increase in well-being and engagement and decrease in mental illness at post- and follow-up assessment; (2) the problem solving group would demonstrate a decrease in mental illness at post- and follow-up assessment and; (3) adherence would be greatest in the strengths intervention group.
Section snippets
Design
A randomised controlled trial, 3 (group) × 3 (time) design was used. The three groups included a positive psychology strengths intervention, a problem solving intervention and a placebo control group. Participants completed online assessments at pre-, post-, and 3-month follow-up, to evaluate the post-intervention outcomes and durability of change over time.
Measures
The following measures were used to collect demographic information and measure well-being, mental illness, and adherence. The relevant
Participants
Participants (n = 160) were included in the study if they were Australian residents and at least 18 years old. For duty of care reasons participants were excluded and referred to support services if their DASS subscale scores were in the ‘severe’ range (n = 9), indicating the possibility of a mood or anxiety disorder. The participant attrition rate for the study was 69% at post-assessment and 83% at 3-month follow-up. Participant flow through the study from recruitment to data analysis is
Well-being
The PWI-A results support the first hypothesis with a significant increase in the cognitive component of subjective well-being for the strengths group from pre- to post-assessment and 3-month follow-up. The effect size for this change was small, compared to the moderate effect size reported in the email intervention of Seligman et al. (2005). As hypothesised, the problem solving group demonstrated no change in well-being from baseline to post- or follow-up assessment; and the placebo control
Conclusions
The results, with some caveats, lend support to the body of literature indicating that well-being can be enhanced through intentional activity (i.e., identifying and using personal strengths) and that these changes continue on an upward trajectory for at least 3 months. In this study it is the cognitive, not the affective, component of subjective well-being that was amenable to change, although it is unknown if this was a reflection of the measures used, the intervention or both. While no
Acknowledgements
This research was funded via a Sport and Physical Activity Research Network (SPARN) grant obtained by Dr. Michael Martin, Head of Performance Psychology, AIS and Dr. Graeme Hyman, Senior Lecturer, School of Psychology, Psychiatry and Psychological Medicine, Monash University. The website was developed by Janison. The website content was written by the first author and edited by the second author.
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