Frances P. Thorndike

A Behavior Change Model for Internet Interventions

BackgroundThe Internet has become a major component to health care and has important implications for the future of the health care system. One of the most notable aspects of the Web is its ability to provide efficient, interactive, and tailored content to the user. Given the wide reach and extensive capabilities of the Internet, researchers in behavioral medicine have been using it to develop and deliver interactive and comprehensive treatment programs with the ultimate goal of impacting patient behavior and reducing unwanted symptoms. To date, however, many of these interventions have not been grounded in theory or developed from behavior change models, and no overarching model to explain behavior change in Internet interventions has yet been published.PurposeThe purpose of this article is to propose a model to help guide future Internet intervention development and predict and explain behavior changes and symptom improvement produced by Internet interventions.ResultsThe model purports that effective Internet interventions produce (and maintain) behavior change and symptom improvement via nine nonlinear steps: the user, influenced by environmental factors, affects website use and adherence, which is influenced by support and website characteristics. Website use leads to behavior change and symptom improvement through various mechanisms of change. The improvements are sustained via treatment maintenance.ConclusionBy grounding Internet intervention research within a scientific framework, developers can plan feasible, informed, and testable Internet interventions, and this form of treatment will become more firmly established.

Efficacy of an Internet-Based Behavioral Intervention for Adults with Insomnia

CONTEXT Insomnia is a major health problem with significant psychological, health, and economic consequences. However, availability of one of the most effective insomnia treatments, cognitive behavioral therapy, is significantly limited. The Internet may be a key conduit for delivering this intervention. OBJECTIVE To evaluate the efficacy of a structured behavioral Internet intervention for adults with insomnia. DESIGN, SETTING, AND PARTICIPANTS Forty-five adults were randomly assigned to an Internet intervention (n = 22) or wait-list control group (n = 23). Forty-four eligible participants (mean [SD] age, 44.86 [11.03] years; 34 women) who had a history of sleep difficulties longer than 10 years on average (mean [SD], 10.59 [8.89] years) were included in the analyses. INTERVENTION The Internet intervention is based on well-established face-to-face cognitive behavioral therapy incorporating the primary components of sleep restriction, stimulus control, sleep hygiene, cognitive restructuring, and relapse prevention. MAIN OUTCOME MEASURES The Insomnia Severity Index and daily sleep diary data were used to determine changes in insomnia severity and the main sleep variables, including wake after sleep onset and sleep efficiency. RESULTS Intention-to-treat analyses showed that scores on the Insomnia Severity Index significantly improved from 15.73 (95% confidence interval [CI], 14.07 to 17.39) to 6.59 (95% CI, 4.73 to 8.45) for the Internet group but did not change for the control group (16.27 [95% CI, 14.61 to 17.94] to 15.50 [95% CI, 13.64 to 17.36]) (F(1,42) = 29.64; P < .001). The Internet group maintained their gains at the 6-month follow-up. Internet participants also achieved significant decreases in wake after sleep onset (55% [95% CI, 34% to 76%]) and increases in sleep efficiency (16% [95% CI, 9% to 22%]) compared with the nonsignificant control group changes of wake after sleep onset (8% [95% CI, -17% to 33%) and sleep efficiency (3%; 95% CI, -4% to 9%). CONCLUSIONS Participants who received the Internet intervention for insomnia significantly improved their sleep, whereas the control group did not have a significant change. The Internet appears to have considerable potential in delivering a structured behavioral program for insomnia. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT00328250.

Initial evaluation of an Internet intervention to improve the sleep of cancer survivors with insomnia

Objective: Insomnia is a common complaint among cancer survivors. Fortunately, cognitive‐behavioral therapy for insomnia (CBT‐I) has been shown to be an effective treatment in this population. However, it is rarely implemented given its limited availability. To address this barrier, we examined the ability of an easily accessible online CBT‐I program to improve insomnia symptoms in cancer survivors.

Evaluating Driving Performance of Outpatients with Alzheimer Disease

Background: Alzheimer disease (AD) is a progressive disease, with multiple physiologic, psychologic, and social implications. A critical issue in its management is when to recommend restrictions on autonomous functioning, such as driving an automobile. This study evaluates driving performance of patients with AD and its relation to patient scores on the Mini-Mental State Exam (MMSE). Methods: This study compared 29 outpatients with probable AD with 21 age-matched control participants on an interactive driving simulator to determine how the two groups differed and how such differences related to mental status. Results: Patients with AD (1) were less likely to comprehend and operate the simulator cognitively, (2) drove off the road more often, (3) spent more time driving considerably slower than the posted speed limit, (4) spent less time driving faster than the speed limit, (5) applied less brake pressure in stop zones, (6) spent more time negotiating left turns, and (7) drove more poorly overall. There were no observed differences between AD patients and the control group in terms of crossing the midline and driving speed variability. Among the AD patients, those who could not drive the simulator because of confusion and disorientation (n = 10) had lower MMSE scores and drove fewer miles annually. Those AD patients who had stopped driving also scored lower on their MMSE but did not perform more poorly on the driving simulator. Factor analysis revealed five driving factors associated with AD, explaining 93 percent of the variance. These five factors correctly classified 27 (85 percent) of 32 AD patients compared with the control group. Of the 15 percent who were improperly classified, there were three false positives (control participants misclassified as AD patients) and two false negatives (AD patients misclassified as control participants). The computed total driving score correlated significantly with MMSE scores (r = -.403, P = 0.011). Conclusion: Driving simulators can provide an objective means of assessing driving safety.

Web-based measurement: Effect of completing single or multiple items per webpage

The current study was conducted to determine whether participants respond differently to online questionnaires presenting all items on a single webpage versus questionnaires presenting only one item per page, and whether participants prefer one format over the other. Of participants seeking self-help treatment on the Internet (for depression, social phobia, or panic disorder), 710 completed four questionnaires (Beck Depression Inventory, Beck Anxiety Inventory, Quality of Life Index, Montgomery-Asberg Depression Rating Scale) on the Internet on two occasions. The questionnaires were either presented with one questionnaire on one webpage (e.g., BDI on one webpage) or on multiple webpages (e.g., BDI on 21 webpages with one item each). Results suggest that the four web questionnaires measure the same construct across diagnostic group (depression, social phobia, panic), presentation type (single versus multiple items per page), and order of presentation (which format first). Within each diagnostic group, factor means for all questionnaires were equivalent across presentation method and time. Furthermore, factor means varied as expected across samples (e.g., depressed group scored higher on BDI), providing evidence of construct validity. The majority of participants in each diagnostic group preferred the single item per page format, even though this format required more time.

Validation of the Insomnia Severity Index as a Web-Based Measure

Although the Insomnia Severity Index (ISI) is already administered online, this frequently used instrument has not been validated for Web delivery. This study compares online and paper-and-pencil ISI versions completed by participants in a randomized controlled trial testing an Internet-delivered intervention for insomnia. Forty-three adults with insomnia completed both ISI versions during pre- (Assessment 1) and post-intervention (Assessment 2). Correlations between total scores of both versions were significant (rs ≥ .98, ps < .001). For both ISI versions, internal consistency was acceptable (Assessment 1, α = .61; Assessment 2, α ≥ .88). Among participants not receiving the parent study intervention, correlations between 1 format at Assessment 1 and the alternative format at Assessment 2 were generally significant (rs = .26–.82). Together, findings suggest the ISI can be delivered online.

A Randomized Controlled Trial of an Internet Intervention for Adults with Insomnia: Effects on Comorbid Psychological and Fatigue Symptoms

OBJECTIVE Insomnia is frequently comorbid with other medical and psychological disorders. This secondary data analysis investigated whether an Internet-delivered cognitive behavioral therapy for insomnia (CBT-I) intervention could also reduce comorbid psychological and fatigue symptoms. METHOD Data from a pilot randomized controlled trial (RCT) testing the efficacy of Internet-delivered CBT-I relative to a waitlist control was used to examine changes in symptoms of depression, anxiety, mental health quality of life (QOL), and fatigue. RESULTS Group by time interactions from repeated measures analyses revealed significant post intervention improvements in Internet participants (n = 22) relative to control participants (n = 22) on all psychological symptoms, mental health QOL, and fatigue. A small post hoc subsample of Internet participants with mild or moderate depression also showed large effect size changes in these constructs (depression, anxiety, mental health QOL, and fatigue). CONCLUSION Internet-delivered CBT-I appears to not only improve sleep but also reduce comorbid psychological and fatigue symptoms.

The GoodNight study—online CBT for insomnia for the indicated prevention of depression: study protocol for a randomised controlled trial

BackgroundCognitive Behaviour Therapy for Insomnia (CBT-I) delivered through the Internet is effective as a treatment in reducing insomnia in individuals seeking help for insomnia. CBT-I also lowers levels of depression in this group. However, it is not known if targeting insomnia using CBT-I will lower depressive symptoms, and thus reduce the risk of major depressive episode onset, in those specifically at risk for depression. Therefore, this study aims to examine whether Internet delivery of fully automated self-help CBT-I designed to reduce insomnia will prevent depression.Method/designA sample of 1,600 community-dwelling adults (aged 18–64), who screen positive for both subclinical levels of depressive symptoms and insomnia, will be recruited via various media and randomised to either a 9-week online insomnia treatment programme, Sleep Healthy Using The internet (SHUTi), or an online attention-matched control group (HealthWatch). The primary outcome variable will be depression symptom levels at the 6-month post-intervention on the Patient Heath Questionnaire-9 (PHQ-9). A secondary outcome will be onset of major depressive episodes assessed at the 6-month post-intervention using ‘current’ and ‘time from intervention’ criteria from the Mini International Neuropsychiatric Interview.DiscussionThis trial is the first randomised controlled trial of an Internet-based insomnia intervention as an indicated preventative programme for depression. If effective, online provision of a depression prevention programme will facilitate dissemination.Trial registrationAustralian New Zealand Clinical Trials Registry (ANZCTR), Registration number: ACTRN12611000121965.

Using Instructional Design Process to Improve Design and Development of Internet Interventions

Given the wide reach and extensive capabilities of the Internet, it is increasingly being used to deliver comprehensive behavioral and mental health intervention and prevention programs. Their goals are to change user behavior, reduce unwanted complications or symptoms, and improve health status and health-related quality of life. Internet interventions have been found efficacious in addressing a wide range of behavioral and mental health problems, including insomnia, nicotine dependence, obesity, diabetes, depression, and anxiety. Despite the existence of many Internet-based interventions, there is little research to inform their design and development. A model for behavior change in Internet interventions has been published to help guide future Internet intervention development and to help predict and explain behavior changes and symptom improvement outcomes through the use of Internet interventions. An argument is made for grounding the development of Internet interventions within a scientific framework. To that end, the model highlights a multitude of design-related components, areas, and elements, including user characteristics, environment, intervention content, level of intervention support, and targeted outcomes. However, more discussion is needed regarding how the design of the program should be developed to address these issues. While there is little research on the design and development of Internet interventions, there is a rich, related literature in the field of instructional design (ID) that can be used to inform Internet intervention development. ID models are prescriptive models that describe a set of activities involved in the planning, implementation, and evaluation of instructional programs. Using ID process models has been shown to increase the effectiveness of learning programs in a broad range of contexts. ID models specify a systematic method for assessing the needs of learners (intervention users) to determine the gaps between current knowledge and behaviors, and desired outcomes. Through the ID process, designers focus on the needs of learners, taking into account their prior knowledge; set measurable learning objectives or performance requirements; assess learners’ achievement of the targeted outcomes; and employ cycles of continuous formative evaluation to ensure that the intervention meets the needs of all stakeholders. The ID process offers a proven methodology for the design of instructional programs and should be considered an integral part of the creation of Internet interventions. By providing a framework for the design and development of Internet interventions and by purposefully focusing on these aspects, as well as the underlying theories supporting these practices, both the theories and the interventions themselves can continue to be refined and improved. By using the behavior change model for Internet interventions along with the best research available to guide design practice and inform development, developers of Internet interventions will increase their ability to achieve desired outcomes.

Manual Transmission Enhances Attention and Driving Performance of ADHD Adolescent Males Pilot Study

Objective: Inattention is a major contributor to driving mishaps and is especially problematic among adolescent drivers with ADHD, possibly contributing to their 2 to 4 times higher incidence of collisions. Manual transmission has been demonstrated to be associated with greater arousal. This study tests the hypotheses that manual transmission, compared to automatic transmission, would be associated with better attention and performance on a driving simulator. Method: Ten adolescent drivers with ADHD practice driving on the simulator in the manual and automatic mode. Employing a single-blind, cross-over design, participants drive the simulator at 19:30 and 22:30 hr for 30 min in both transmissions and rate their attention to driving. Results: Subjectively, participants report being more attentive while driving in manual transmission mode. Objectively, participants drive safer in the manual transmission mode. Conclusion: Although in need of replication, this pilot study suggests a behavioral intervention to improve driving performance among ADHD adolescents.