| | Efficacy of Cognitive-Behavioral Therapy for Insomnia Associated With Traumatic Brain Injury: A Single-Case Experimental DesignPresented in part to the Association for the Advancement of Behavior Therapy, November 2003, Boston, MA. Abstract Ouellet M-C, Morin CM. Efficacy of cognitive-behavioral therapy for insomnia associated with traumatic brain injury: a single-case experimental design. ObjectiveTo test the efficacy of a cognitive-behavioral therapy (CBT) for insomnia in persons having sustained traumatic brain injury (TBI). DesignSingle-case design with multiple baselines across participants. SettingOutpatient rehabilitation center. ParticipantsEleven subjects having sustained mild to severe TBI who developed insomnia after the injury. InterventionEight-week CBT for insomnia including stimulus control, sleep restriction, cognitive restructuring, sleep hygiene education, and fatigue management. Main Outcome MeasuresTotal wake time, sleep efficiency, and diagnostic criteria. ResultsVisual analyses, corroborated by intervention time series analyses and t tests, revealed clinically and statistically significant reductions in total wake time and sleep efficiency for 8 (73%) of 11 participants. An average reduction of 53.9% in total wake time was observed across participants from pre- to post-treatment. Progress was in general well maintained at the 1-month and 3-month follow-ups. The average sleep efficiency augmented significantly from pretreatment (77.2%) to post-treatment (87.9%), and also by the 3-month follow-up (90.9%). Improvements in sleep were accompanied by a reduction in symptoms of general and physical fatigue. ConclusionsThe results of this study show that psychologic interventions for insomnia are a promising therapeutic avenue for TBI survivors. SLEEP COMPLAINTS ARE frequent after a traumatic brain injury (TBI). Several studies1, 2, 3, 4, 5, 6, 7 conducted among different samples of subjects with TBI suggest that between 30% and 70% of persons having sustained TBI report symptoms of insomnia such as difficulty falling asleep and frequent or prolonged awakenings throughout the night. Furthermore, about 30% fulfill the diagnostic criteria for an insomnia syndrome8, 9 (which implies that the symptoms are frequent, pervasive, and have a significant impact on daily functioning) rates that are about 3 times greater than those reported in the general population.10, 11 Problems falling asleep or maintaining sleep can exacerbate other TBI-related problems such as pain, cognitive deficits, fatigue, or irritability. Insomnia can thus compromise the rehabilitation process and patients’ capacity to return to a productive and fulfilling life. Preventing or treating insomnia should therefore be an important part of TBI rehabilitation. Nonetheless, we have found a striking lack of research on different treatment options for insomnia after a TBI, with most clinicians relying on evidence obtained in non-TBI populations to choose their treatments.12 Only 1 study13 involving 6 brain injury survivors has documented the efficacy of 2 pharmacologic agents (zopiclone, lorazepam) for insomnia, and 1 case study14 published by our team has suggested that cognitive-behavior therapy (CBT) may be used effectively after TBI. A possible explanation for this lack of attention to post-TBI insomnia is that it is likely that both persons with TBI and caregivers assume that insomnia is a temporary symptom that will subside with spontaneous recuperation of the nervous system. However, several studies1, 2, 7 indicate that insomnia symptoms are reported even several years after TBI, suggesting that it develops in a chronic course in a significant proportion of persons with TBI. The impact of insomnia is also probably underestimated, relative to that of more obvious problems brought about by TBI, such as cognitive deficits or physical limitations. What seems to be overlooked is that sleep disturbances may, in fact, slow down recuperation, be it cognitive, psychologic, or physical. Hypnotic medications still remain the most frequent treatment for insomnia in clinical practice. Hypnotics are effective for the short-term relief of insomnia. They produce rapid benefits, which last several nights and, in some cases, up to a few weeks. There is, however, still little data documenting the benefits of these compounds after drug discontinuation or with prolonged use. Furthermore, certain hypnotics can produce side effects and carry some risk of tolerance and dependence with long-term use.15, 16 Hypnotic medications may result in next-day residual effects such as drowsiness, dizziness, cognitive impairments, or reduction of psychomotor speed.17, 18 These effects are likely to cause some concern in the TBI population because the head trauma itself may already cause symptoms such as dizziness and cognitive or psychomotor deficits. The newer agents (eg, zolpidem, zaleplon, zopiclone, eszopiclone) have been shown to have fewer withdrawal effects, to have a lower risk for tolerance and to produce fewer daytime cognitive effects.2, 19 In recent years, several nonpharmacologic interventions have been used for the treatment of insomnia in the general population. Research efforts have mainly been devoted to evaluating the efficacy of behavioral and, more recently, cognitive-behavioral treatments. The main goal of these treatments is to act on factors perpetuating insomnia, such as unhealthy sleep hygiene, maladaptive sleep habits, autonomic and cognitive arousal, and dysfunctional beliefs, or attitudes about sleep. Three meta-analyses20, 21, 22 of the existing literature revealed that psychological therapies are efficacious to treat insomnia. Behavioral interventions such as stimulus control or sleep restriction have been shown to be as effective as pharmacotherapy in the short term, and even more effective in the longer term. Although the bulk of this research has been conducted with people suffering from primary insomnia (ie, insomnia unrelated to a coexisting condition), there is now evidence, although from less controlled studies, that cognitive and behavioral interventions are efficacious in persons with insomnia secondary to medical and psychiatric conditions (eg, depression, cancer, chronic pain).23 After a brain injury, focal or diffuse lesions to the brain may induce dysfunctions in the systems controlling the regulation of the sleep-wake cycle. Hormonal24 and neurotransmitter25 secretion abnormalities during sleep have been noted in relation with TBI. One study26 has suggested that trauma may induce premature aging of the brainstem structures, thus provoking changes in the sleep-wake cycle. Pathophysiologic processes are, however, probably not sufficient to explain the development of post-traumatic insomnia. TBI may induce an increased physiologic vulnerability, and psychologic or environmental precipitating factors may lead to the development of the sleep disturbance. According to a cognitive-behavioral conceptualization, insomnia may result from an amalgam of maladaptive sleep habits, dysfunctional cognitions, and emotional arousal.27, 28 In addition to lesions to cerebral systems controlling sleep, such psychologic factors probably play a very important role in producing, exacerbating, or maintaining sleep disturbances after TBI. Psychologic treatment options that specifically target those perpetuating factors should therefore be promising. The main objective of this study was to evaluate the efficacy of a cognitive-behavioral intervention to treat insomnia complaints in a group of people having sustained TBI. We expected that CBT would induce significant improvements in participants’ main symptom (either time of sleep onset or wake time after sleep onset), in total wake time and in sleep efficiency. A second objective was to determine whether improvements in sleep were paralleled by a decrease in the level of fatigue. Methods  Participants Eleven subjects with mild to severe TBI participated in this study (see table 1 for sociodemographic information and clinical characteristics from the medical file). Participants were recruited with the help of clinicians working in major rehabilitation centers of the Québec City metropolitan area as well as through advertisements sent via mailing lists of TBI associations or support groups. The mean age of participants was 27.3 years (range, 20−46y) and the mean years of education was 14.4 (range, 11−16y). There were 6 men and 5 women; 9 were single (although 5 of these had companions) and 1 was married. Eight were not working at the time of the study, 1 was progressively returning to work, and 2 were working or studying full-time. The average time since injury was 25.64 months (range, 9−41mo). The severity of head injury ranged from mild to severe (1 mild, 2 mild to moderate, 2 moderate, 3 moderate to severe, 3 severe). Severity of injury was evaluated by the multidisciplinary team at the rehabilitation center according to standardized criteria29 used routinely in the field of traumatology. Eight participants had positive neurologic scans (ie, visually perceptible neurologic damage) and 3 had negative scans. Four were taking medication regularly (7d/wk) at the time of the study (either trazodone, venlafaxine, or gabapentin). All participants had some form of cognitive deficit (eg, slowing of information processing, attention or memory deficits, word finding difficulties) and at least 1 psychosocial problem (eg, irritability, marital tension, financial stress) as reported in a filed neuropsychologic or psychosocial evaluation. Several had depression or anxiety symptoms. To be included in the study, participants had to (1) be aged between 18 and 50 years (to control for the confounding effects of age-related sleep difficulties), (2) have sustained a mild, moderate, or severe TBI in the last 5 years, (3) no longer be on an inpatient basis at the hospital or rehabilitation center, and (4) present with an insomnia syndrome as defined below. Excluded of the study were persons (1) with a major untreated or unstable medical or psychiatric comorbid condition (eg, epilepsy, major depression), (2) who were taking a medication known to produce insomnia, (3) who reported having suffered from significant sleep difficulties before the TBI, (4) who presented evidence of another sleep disorder (eg, sleep apnea or periodic limb movements during sleep), as evaluated by key questions from the Diagnostic Interview for Insomnia27 and by polysomnography when possible, (5) who had significant pain that could be established as the cause of the sleep disturbance (eg, persons who reported being unable to fall asleep because of pain or being awakened by pain), or (6) who were unable to complete the questionnaires due to visual, cognitive, or language comprehension deficits. People using hypnotic or sedative medications were not excluded from the study if they suffered from insomnia despite the use of the medication, if they had been on a stable dosage for 6 months prior to the study, and if the dose remained stable throughout the study. Sleep difficulties were operationalized as follows. Participants with TBI had to (1) present with a significant sleep complaint (eg, dissatisfaction with sleep or significant distress), (2) report insomnia symptoms defined either as (a) a sleep latency of 30 minutes or more or (b) nocturnal awakenings adding up to 30 minutes or more, (3) present insomnia symptoms at least 3 nights a week, (4) have a complaint of at least 2 negative daytime effects (eg, fatigue, impaired functioning, or mood disturbances) attributed to poor sleep, and (5) have an insomnia duration of at least 1 month. These criteria represent a combination of the diagnostic criteria of the International Classification of Sleep Disorders30 and The Diagnostic and Statistical Manual of Mental Disorders.31 Forty-five TBI patients were referred for the study or contacted us to participate. Of these, 4 participants could not be reached for further information, 21 were excluded after the telephone screening either because they did not meet the inclusion criteria or because they were no longer interested in participating, and 7 decided not to participate after the initial evaluation. Thirteen participants were enrolled but 2 abandoned before starting treatment. Eleven completed the treatment. Procedure We gave potential participants explanations about the goals and implications of the study and completed a brief telephone screening interview to verify the major inclusion criteria pertaining to age, time since injury, presence of major medical or psychiatric conditions, and significance of sleep difficulties. Once the initial telephone screening interview was completed, we invited participants to a face-to-face clinical interview during which they signed informed consent and were given several self-report measures and sleep diaries. Participants still eligible for the study were asked to fill out a sleep diary during either 3, 5, or 7 weeks (randomly determined). During this baseline period, they were also invited to spend 2 consecutive nights in the sleep laboratory for a polysomnographic evaluation with a standard montage to exclude any co-occurring sleep disorder (ie, restless legs syndrome, sleep apnea). Due to time or transport constraints, only 9 of 11 participants could complete the polysomnographic evaluation. None of these participants showed any evidence of another sleep disorder after this evaluation. All participants were then scheduled to receive 8 weekly sessions of CBT over an 8- to 10-week period, each session lasting approximately 1 hour. Participants were not compensated financially for their involvement in the study but the treatment was offered free of charge and their transportation fees were reimbursed when needed. Once the treatment was completed, a post-treatment evaluation included self-report measures, 2 weeks of sleep diary completion, as well as a second clinical interview conducted over the phone by an independent evaluator. Follow-up evaluations after 1 and 3 months after the end of treatment also included a short telephone interview conducted by an independent evaluator, self-report measures, and 2 weeks of sleep diary completion. Evaluation Interviews Diagnostic Interview for Insomnia We used the Diagnostic Interview for Insomnia27 to assess the presence of insomnia and potential contributing factors. It is designed to identify: (1) the nature of the complaint (problems falling asleep, staying asleep, early morning awakening), (2) the sleep-wake schedule (initial bedtime and final arising time), (3) insomnia severity (estimates of sleep-onset latency, number and duration of awakenings, total sleep time), (4) daytime consequences (eg, mood disturbances, fatigue, social discomfort, and cognitive impairment), (5) the natural history of insomnia (onset of insomnia, duration and time course), (6) environmental factors (eg, noise, light, room temperature, mattress comfort), (7) medication use, (8) sleep hygiene factors (eg, food, caffeine, nicotine, alcohol, exercise), (9) the presence of other sleep disorders (eg, apnea, periodic leg movements), (10) the patient’s medical history (eg, pain, anemia, hyperthyroidism), and (11) a functional analysis investigating antecedents, consequences, secondary gains, and precipitating and perpetuating factors. The interview is conducted in a semi-structured format and takes about 45 to 60 minutes to administer. Follow-up telephone interview At the end of the treatment and at the 1- and 3-month follow-up evaluations, participants underwent a 10- to 15-minute telephone interview conducted by an independent evaluator (a doctoral student experienced with behavioral interventions for insomnia and with no involvement in the study). The goal of this interview was to gather information about sleep patterns and quality and to verify if participants still fulfilled the criteria for an insomnia syndrome after the treatment was completed. Self-Report Measures Sleep diary The sleep diary27 is a daily journal that provides estimates of the time required to fall asleep, the number and duration of awakenings, time spent in bed, total sleep time, and sleep quality. In addition, the diary provides information on naps, use of sleep aids, bedtime and arising time. Insomnia Severity Index Participants rated the degree of their sleep impairment during the last month with the Insomnia Severity Index (ISI),27 a 7-item questionnaire. Using a 5-point Likert scale, participants evaluate (1) the severity of their sleep-onset, sleep maintenance, and early awakening problems, (2) their satisfaction with their present sleep patterns, (3) the interference of their sleep problems with daily function, (4) the noticeability of the impairment attributable to sleeping disturbances, and (5) the degree of distress caused by the sleep difficulties. Total scores range from 0 to 28. Scores from 0 to 7 indicate no clinically significant insomnia, scores from 8 to 14 point to subthreshold insomnia, scores from 15 to 21 indicate clinical insomnia of moderate severity, and scores from 22 to 28 are indicative of severe clinical insomnia. This index has adequate internal consistency, concurrent validity, and sensitivity to clinical improvements in sleep.32 The French version of the scale33 has been shown to possess good internal consistency, appropriate test-retest reliability, and convergent validity with a sleep diary. Multidimensional Fatigue Inventory The Multidimensional Fatigue Inventory (MFI)34 contains 20 items for which the responder has to rate, on a 5-point Likert scale, to what extent the particular statement has been true in the previous days. Five dimensions of fatigue are measured: (1) general fatigue, (2) mental fatigue, (3) physical fatigue, (4) reduced activity, and (5) reduced motivation. For each scale, scores vary from 4 to 20, with lower scores indicating lower levels of fatigue. The internal consistency and the construct validity of this scale are adequate. The French version of this scale35 has been shown to be equivalent to the original version in terms of its psychometric qualities. Two studies of fatigue in cancer patients have used a cutoff of 12 on the general fatigue subscale of the MFI to differentiate patients with and without significant fatigue.36, 37 Dysfunctional Beliefs and Attitudes about Sleep Scale The Dysfunctional Beliefs and Attitudes about Sleep Scale (DBAS)27 contains 30 items measuring sleep-related cognitions. Five components are tapped: (1) perceived consequences of insomnia, (2) control and predictability of sleep, (3) unrealistic sleep expectations, (4) misconceptions about the causes of insomnia, and (5) beliefs about sleep-promoting practices. The psychometric properties of the French version of this scale have been documented.33 Beck Depression Inventory The Beck Depression Inventory (BDI)38 is composed of 21 items evaluating depressive symptoms experienced in the last 2 weeks. It is widely used in clinical research and its psychometric properties have been well documented. The French version of this questionnaire has also been shown to be valid and reliable.39 Beck Anxiety Inventory The Beck Anxiety Inventory (BAI)40 is a 21-item questionnaire that provides assessment of cognitive, affective, and somatic symptoms of anxiety over the past 7 days. This measure has also been widely used in clinical research and its psychometric properties are well known. The French translation of this instrument has adequate test-retest reliability and good internal consistency.41 Intervention The treatment was administered by a certified psychologist. The intervention was adapted from the protocol presented by Morin27 and has 5 components: (1) the stimulus control instructions42 aim at reassociating the bed, bedroom, and bedtime stimuli with sleep rather than with frustration, anxiety, or tension, (2) the sleep restriction procedure43 consists of limiting the time spent in bed to the actual total time spent sleeping, (3) cognitive therapy of insomnia27 is designed to identify, challenge, and alter a set of dysfunctional beliefs and attitudes about sleep, (4) sleep-hygiene education consists of teaching people about the impact of certain lifestyle habits (eg, diet, drug use, exercise) and the influence of some environmental factors (eg, light, noise, temperature) on sleep,44 and finally (5) the fatigue management skills training component aims at recognizing and managing fatigue more effectively and at revising dysfunctional attitudes about fatigue and rest. Globally, this intervention package is aimed at changing unhealthy habits, regularizing the sleep-wake cycle, and changing dysfunctional thoughts, beliefs, and attitudes about sleep or fatigue. Main Outcome Measures The following outcome variables widely used in the insomnia literature were derived from the sleep diary data: sleep-onset latency, which corresponds to the estimated time taken to fall asleep from lights out; wakefulness after sleep onset (WASO), which includes the total number of minutes estimated to be spent awake during the night; total sleep time, which is the total number of minutes slept from lights out to arising from the bed; sleep efficiency, which is the ratio of total sleep time over the total time spent in bed (from lights out to rising from bed for the last time); and finally total wake time, which includes the time to sleep onset, the time spent awake after sleep onset, and the time between the last awakening and rising from bed. Design, Data Management, and Statistical Analyses A single-case multiple baseline design across subjects was used in this study. The length of the baseline period was determined randomly (3, 5, or 7wk) across subgroups of 3 participants who were enrolled in the study at about the same time. To examine the efficacy of the intervention in every participant individually, we first used visual inspection of daily sleep diary values of total wake time. Mean changes in sleep efficiency and in the major symptom (either sleep onset latency or WASO) for each participant were also analyzed visually. Visual inspection was completed according to the criteria suggested by Kazdin45: reduction of variability in the daily data, changes in means across study phases, changes in trend, and latency of change. Although the design of the study did not include a control group, mean comparisons were conducted in order to document the potential efficacy of CBT. Means were computed for each participant for each study phase and were averaged across all participants for different sleep diary variables (total wake time, total sleep time, sleep efficiency) and for scores on the different questionnaires. Paired-samples t tests corrected for multiple comparisons were used to examine averaged data. To statistically determine whether changes in sleep parameters were due to time and/or treatment, we performed intervention time series analysis (ITSA) using autoregressive residuals. This analysis controls for the serial dependency of the data collected (ie, measures repeated daily) which allows to estimate the magnitude of the effects of treatment with increased power, reliability, and precision.46 The Autoreg procedure of SASa was used to complete the ITSA. Missing data were not included in the analyses. Level and slope effects were estimated as recommended by Huitema and McKean.47 Extreme scores were identified using the auto-regressive integrated moving average outlier procedure and their contribution to error variance was removed by estimating the magnitude of these events. The residuals of the final models were reviewed visually and statistically to ensure that they were normally distributed. We also evaluated the clinical impact of the intervention at the post-treatment phase, as well as at the 1- and 3-month follow-up assessment phases. A clinically significant treatment response was achieved if (1) the participant presented a sleep efficiency superior to 85%, as computed from at least 2 weeks of sleep diary data, (2) the participant had both a sleep-onset latency and WASO of less than 30 minutes (as computed from at least 2 weeks of sleep diary data), (3) the participant no longer fulfilled the criteria for an insomnia syndrome as evaluated by the Diagnostic Interview for Insomnia by an evaluator independent from the study, or (4) the participant had an ISI score in the subclinical (<15) or no-insomnia range (<8). Results  Visual Analysis Daily sleep diary data for each participant are presented in figure 1. Due to space constraints, we present visually only 1 dependent measure, total wake time, and grouped together participants randomly assigned to the same baseline lengths (3, 5, or 7 weeks). Baseline For all participants, baseline measures presented high internight variability, which is typical of insomnia. In general, no trends of spontaneous improvement of sleep were noted during baseline. One or 2 (participants 3, 7) did show a slight decrease in total wake time during baseline, possibly due to self-monitoring, but this change was not judged to be clinically significant (values remained high). One participant had only mild symptoms of insomnia during baseline with a period of seemingly good sleep, typical of episodic insomnia (participant 8). Treatment and post-treatment phases In general, visual inspection of the treatment phase daily data revealed a decline in total wake time (see fig 1) relative to baseline levels. Clear reductions in total wake time were visually perceptible for 8 of 11 participants (participants 1, 3, 4, 7, 8, 9, 10, 11), 2 participants showed an improvement less visually perceptible (participants 2, 6), and 1 did not seem to improve with treatment (participant 5). For most participants, this evolution was progressive, but a few (participants 1, 3, 6, 9, 11) showed rather swift improvements when treatment was started. In several participants we could visually perceive a latency to change of about 7 to 13 days, which suggests that treatment effects can be seen 1 or 2 weeks after the beginning of therapy. A reduction in internight variability was quite clear for at least 8 of 11 participants. Follow-up data Improvements were generally well maintained at either 1- or 3-month follow-ups for most participants although more internight variability could be noted for several participants (1, 2, 4, 7). Some deterioration was noted for participants 1 and 7 at the 1-month follow-up, but this pattern seemed to be normalizing at the 3-month follow-up. Evolution of main symptom and sleep efficiency For each participant, the averaged value of either sleep-onset latency or WASO was computed across study phases, depending on each participant’s insomnia type (sleep-onset or maintenance insomnia). The average sleep efficiency was also calculated for each person in different phases. Important reductions (35%−85% reductions) in the main symptoms were noted for 8 participants (persons 1, 3, 4, 7, 8, 9, 10, 11) from pre- to post-treatment. More modest improvements were seen in persons 2, 5, and 6 from pre- to post-treatment with reductions of approximately 30% in symptom severity. All participants increased their sleep efficiency after completing treatment, and all maintained values higher than before they received the intervention. Large increases were observed for participants 3, 9, and 10 from pre- to post-treatment, and for participants 4, 6, and 11 from pre to the last follow-up completed. Five participants had sleep efficiency values higher than 90% at the 3-month follow-up. Overall, the smallest improvements were seen in participants 1, 2, and 5. Comparisons Across Study Phases The average total wake time, sleep efficiency, and total sleep time scores were calculated for all participants in the different study phases (table 2). Paired-samples t tests were used to examine the differences between pre- and post-treatment, pre and 3-month follow-up, and post and 3-month follow-up. A Bonferroni adjustment was applied to control for multiple comparisons (α=.05/3=.017). The t tests revealed a significant reduction in total wake time from pre- (mean, 128.46) to post-treatment (mean, 59.29) (t=5.87, P<.001) and from pre to 3-month follow-up (mean, 49.66) (t=4.47, P<.01). The improvements were well maintained as the difference between post and 3-month follow-up was nonsignificant (t=1.05, P=.06). Sleep efficiency was significantly increased from pre- (mean, 77.20%) to post-treatment (mean, 87.99%) (t=−4.91, P=.01), as from pre to 3-month follow-up (mean, 90.88%) (t=−4.79, P=.01). Again, this improvement was well maintained from post to 3-month follow-up (t=−1.29, P=.24). Total sleep time, on the other hand, was not significantly increased from pre- (mean, 425.68) to post-treatment (mean, 444.43) (t=−.079, P=.44), probably due to sleep restriction procedures, yet it did increase from pre to 3-month follow-up (mean, 496.72) (t=−3.32, P<.015), indicating that further progress was made once treatment was terminated. There was no significant difference from post to 3-month follow-up (t=−2.21, P=.06). Intervention Time Series Analysis The time series analysis was completed only on baseline, and treatment data (including the post-treatment phase) as follow-up phases did not include enough data points. Table 3 presents the results of the time series analysis for total wake time and sleep efficiency for each participant. Nonstandardized regression coefficients (B) in ITSA are interpreted much like coefficients of a linear regression and can be interpreted directly as changes in minutes for total wake time and percentage for sleep efficiency. On average, the statistical modelization of the daily data explained 66.65% of the variance for total wake time and 61.75% for sleep efficiency. Large significant level changes were observed in terms of total wake time for participants 2, 3, 4, 6, 8, 9, 10, and 11 (8 participants) indicating that a rather swift change occurred in the daily observations after the treatment was introduced. Participants 2, 3, 4, 6, and 11 also showed a level change in sleep efficiency. Only participant 7 had no significant level change, although the level effect for total wake time almost reached significance (P=.09) and the regression coefficient of −100.46 was indicative of a large change in total wake time. Participant 5 did not make progress. According to these analyses, participant 1 did not make any significant progress, a result contrasting with that of the visual analysis. It is important to remember that ITSAs allow the identification of extreme scores and that the contribution of extreme scores to error variance is removed during the analysis. This approach differs significantly from the visual analysis approach where extreme scores are very important clinical markers of internight variability and represent nights of very poor quality. | | |  | Participant and Variable | df | Outliers | R2 (%) | Time (B) | Level (B) | Slope (B) |  |
|---|
 | Total wake time | | | | | | |  |  | 1 | 97 | 5 | 86.8 | −1.76† | 2.09 | 1.89† |  |  | 2 | 124 | 4 | 56.4 | −0.73† | −21.96† | 0.82† |  |  | 3 | 108 | 5 | 65.1 | 2.39† | −139.89† | −2.74† |  |  | 4 | 122 | 5 | 64.7 | −0.66⁎ | −32.76† | 0.54 |  |  | 5 | 107 | 2 | 56.8 | −1.03† | 2.15 | 1.04† |  |  | 6 | 80 | 2 | 54.3 | 3.73† | −150.19† | −3.43† |  |  | 7 | 74 | 1 | 61.3 | −1.17 | −100.46 | −0.08 |  |  | 8 | 119 | 5 | 68.2 | 0.34† | −15.54† | −0.68† |  |  | 9 | 98 | 5 | 76.6 | −2.94† | −47.72† | 2.80† |  |  | 10 | 133 | 5 | 66.5 | −0.38 | −31.13† | 0.04 |  |  | 11 | 57 | 5 | 76.5 | −3.79⁎ | −101.85† | 4.9† |  |  | Mean | | | | −0.54 | −57.93 | 0.46 |  |  | Sleep efficiency | | | | | | |  |  | 1 | 98 | 5 | 81.2 | 0.29† | −1.36 | −0.30† |  |  | 2 | 124 | 5 | 59.7 | 0.15⁎ | 2.66 | −0.16† |  |  | 3 | 108 | 5 | 66.7 | −0.31† | 17.03† | 0.44† |  |  | 4 | 04 | 5 | 58.5 | 0.10 | 4.65⁎ | −0.07 |  |  | 5 | 109 | 1 | 40.6 | 0.11⁎ | 2.31 | −0.15⁎ |  |  | 6 | 80 | 2 | 43.5 | −0.12 | 12.29† | 0.10 |  |  | 7 | 73 | 1 | 54.9 | 0.06 | 7.54 | 0.25 |  |  | 8 | 121 | 5 | 65.8 | −0.05 | 2.14 | 0.12† |  |  | 9 | 100 | 5 | 80.8 | 0.002 | 14.6† | 0.02 |  |  | 10 | 134 | 4 | 60.3 | 0.10† | 2.01 | −0.01 |  |  | 11 | 58 | 5 | 67.2 | 0.93⁎ | 15.89⁎ | −1.24† |  |  | Mean | | | | 0.11 | 7.25 | −0.09 |  | | | |
Clinical Significance of the Results Table 4 illustrates how participants fulfilled different criteria of clinical significance at post-treatment and at the follow-up phases. At post-treatment, 7 of 10 participants for whom we had data had achieved a sleep efficiency of 85% or higher. This proportion increased to 8 of 9 at the 3-month follow-up. In terms of major symptoms, 6 of 10 had decreased either their sleep-onset latency or WASO below the clinical cutoff of 30 minutes at post-treatment and this proportion remained stable after 3 months. All participants who completed the ISI at post-treatment obtained scores in the subclinical range (<15) and 3 of these obtained a score lower than 8 indicating the absence of insomnia. At post-treatment, when evaluated by an independent evaluator, 7 participants no longer fulfilled the criteria for an insomnia syndrome. For at least 6 of these, this remained the case after 3 months, but information is lacking on the remaining participants. Four participants (36%) fulfilled all criteria of clinical significance at evaluations they completed and could thus be considered to have become good sleepers. Questionnaires The average scores for all questionnaires were calculated for all participants in the different study phases and are presented in the lower part of table 2. Paired-samples t tests were used to examine the differences between pre- and post-treatment and pre and 3-month follow-up, and post and 3-month follow-up. A Bonferroni adjustment was applied to control for multiple comparisons (α=.05/3=.017). A significant reduction was found for the ISI score from pre- to post-treatment (t=4.63, P <.01) and from pre to 3-month follow-up (t=3.43, P<.01). A similar pattern was found for the DBAS score with a significant reduction from pre to post (t=5.22, P<.01) and from pre to 3-month follow-up (t=4.28, P<.01). The MFI total score was also significantly reduced from pre- to post-treatment (t=3.28, P<.012), and from pre to 3-month follow-up (t=3.18, P<.014). In the MFI subscales, the only differences noted were for general fatigue from pre to 3-month follow-up (t=3.18, P<.013), and for physical fatigue again from pre to 3-month follow-up (t=3.00, P=.017). It may be noted that at post-treatment, as a group, participants were approaching the cutoff point of 12 on the MFI, which has been previously used to differentiate fatigued from nonfatigued patients. No significant differences were noted between treatment phases for the BDI or BAI scores, although these scores were all reduced after treatment, compared with pretreatment levels. BDI differences were almost significant from pre- to post-treatment (P=.04), as was the difference from pre to 3-month follow-up for the BAI score (P=.04). Discussion  The results of this study suggest that insomnia associated with TBI can be successfully improved in a large proportion of cases with a short-term cognitive-behavioral intervention. For most participants, the benefits of CBT begin to appear within 1 or 2 weeks of treatment implementation, are sustained over time, at least over a period of 3 months, and are accompanied by a reduction in fatigue, particularly physical fatigue. These improvements mirror those found in the primary insomnia literature, where between 70% and 80% of patients show a clinically significant improvement in their sleep quality with psychologic therapies, and approximately 30% are found to become good sleepers.20, 21, 22 The results of this study thus show that psychologic interventions for insomnia in people with TBI are a promising therapeutic avenue that could be used either alone or in conjunction with the use of sleep medications. When insomnia is associated with another condition, either a medical problem such as cancer or chronic pain, or a psychiatric disorder such as major depression or generalized anxiety, there is a long-standing assumption in clinical practice that sleep disturbances are a symptom that will merely subside once the primary condition improves, or that a psychologic intervention specifically for insomnia will be of no benefit.20, 48 Yet in many cases the primary condition is chronic and sleep medications may not function or be accepted by all patients to cope with their sleep disturbances. In the case of TBI, neurologic lesions are involved, which may lead some to assume that insomnia is the result of irreversible damage to the brain, and thus that there is little use in trying to treat it. Yet as Lichstein et al48 proposed, it is most probable that insomnias that are considered secondary to other conditions also have a primary component that may, in fact, respond to psychologic treatment. Although it was impossible to tease out the role of brain lesions in the etiology of insomnia in our participants, the results of this study strongly suggest that maladaptive habits, thoughts, and beliefs about sleep are major factors perpetuating or exacerbating sleep problems in a significant proportion of persons with TBI. Our findings thus point out that a cognitive-behavioral conception of insomnia is appropriate in a chronic medical condition such as TBI, even if it involves permanent damage to the neurologic system. Such results, we hope, will help alter the conception that insomnia is not worth treating in people with TBI, or that it may be addressed only with a pharmacologic agent. It may also be assumed that TBI patients will not benefit from psychotherapy for insomnia because of cognitive deficits. In this study, all participants had some cognitive deficits documented in their medical files, many of which were quite significant. Unfortunately, we did not have the resources to fully evaluate cognitive functioning at the time of the study, and it is possible that some of the documented deficits had subsided by the time treatment for insomnia began. Nonetheless, none of the participants in this study had difficulty understanding how to self-monitor their insomnia nor did they have trouble grasping the theoretical rationales for the procedures involved in the treatment. They all had adequate levels of insight and disclosure in as far as how their habits, thoughts, and beliefs might feed into their sleep problems. These results suggest that documented neuropsychologic deficits are not a sufficient reason to disregard cognitive or behavioral therapy for insomnia in TBI patients. There are still too few studies providing evidence that cognitive-behavioral interventions for different problems (eg, depression, anxiety, couple difficulties) may be used successfully with people having suffered TBI. This study shows that, at least with a short-term structured intervention, there are no major treatment barriers due to cognitive limitations. Of course, it is possible that very severe attention, memory, language, or executive deficits could compromise the implementation of therapy. Yet, in the majority of cases, CBT is feasible. Although the research design did not allow the establishment of clear causal relationships, slight improvements in depression and anxiety, and significant decreases in fatigue symptoms were noted with the implementation of CBT for insomnia. These results add to a growing body of evidence that CBT for insomnia probably has positive repercussions on mood, anxiety levels, fatigue, and overall quality of life.20, 49, 50 In this study, fairly low levels of depression and anxiety were noted at pretreatment as participants were excluded if they had a nonstabilized psychiatric condition. Further research could explore the effectiveness of CBT for insomnia in significantly depressed or anxious TBI patients. Fatigue is a very important, widespread, and debilitating sequela of TBI. Although we noted a significant decrease in “general” and “physical” fatigue, it is difficult to evaluate the clinical significance of these changes. No change was observed in terms of “mental” fatigue, a type of fatigue widely endorsed by persons with TBI.51 Although some of the fatigue reported by our participants may have been due to insomnia, there is probably a significant proportion of fatigue due to the TBI itself that could not be alleviated despite improvement in sleep. In fact, in a descriptive study of fatigue in TBI patients, our group has found that approximately 68.5% complain of fatigue, but only 29.4% fulfill the criteria for an insomnia syndrome.9 Thus fatigue in TBI can be exacerbated by insomnia but can also stand alone. A whole CBT program specifically aimed at reducing fatigue (perhaps inspired from the Chronic Fatigue Syndrome literature) should be evaluated with TBI survivors. In this study, several participants showed rather rapid changes once the behavioral procedures were put in place (eg, participants 3, 6, 7, 11). It is possible that some participants benefit from a simple self-monitoring and regularization of their sleep-wake schedule. Implanting regular bedtime routines and regular rising times and cutting down excessive time in bed (which exceeded 10 hours in some cases) may have a major role in the defragmentation of sleep. This may be particularly true for persons with TBI who do not work because they might be more at risk of developing irregular sleep-wake schedules or of spending excessive amounts of time in bed to recuperate from insomnia. One of the challenges of CBT is thus to encourage regular routines and activities to facilitate adherence to the “sleep windows.” For the few participants who showed either modest or no improvement in their sleep with CBT, no particular factor such as TBI severity, sex, type of neurologic damage, education, motivation, or cognitive deficits clearly emerged clinically to explain a poorer outcome of therapy. Rigorous measures of adherence, and an exploration of participants’ sense of self-efficacy toward their sleep problem might have helped to understand treatment outcome. Some patients may need more structure and encouragement from their therapist than others, and some might need to be seen at regular intervals after treatment termination to ensure they do not relapse (ie, “booster” sessions). Study Limitations Although rigorous single-case research studies can provide valuable information on treatment efficacy, it remains that the generalizability of these results is somewhat limited. The characteristics of the participants treated in the present study are comparable with those of people with TBI in other studies of sleep disturbances after TBI in terms of age and injury severity (mixed levels), but women were slightly overrepresented. Furthermore, people willing to participate in a long treatment research protocol such as this one may be those who are most motivated to change. Nonspecific factors related to therapy (motivation to change, client-therapist relationship, parallel improvements in depression or anxiety) were not accounted for by this research protocol. Future investigations of insomnia in TBI should be conducted with larger samples in randomized and controlled group studies using both subjective and objective (either polysomnography or actigraphy) measures of sleep quality. Conclusions  This study represents the first attempt to show, in several participants with injuries of different severities, that CBT for insomnia is a valuable therapeutic option with durable benefits. This treatment involves simple and straightforward procedures that could easily be implemented during rehabilitation either as a therapeutic or a preventive tool. Facilitating access to CBT for insomnia, both for patients and clinicians, may increase its use and dissemination. Improving sleep quality after TBI may enhance the rehabilitation process as well as increase quality of life for persons with TBI. Supplier Acknowledgment  We thank Hans Ivers, MPs, for his help with time series analyses. References  1. 1Beetar JT, Guilmette TJ, Sparadeo FR. Sleep and pain complaints in symptomatic traumatic brain injury and neurologic populations. Arch Phys Med Rehabil. 1996;77:1298–1302. Abstract |
Full-Text PDF (643 KB)
|
CrossRef
2. 2Cohen M, Oksenberg A, Snir D, Stern MJ, Groswasser Z. Temporally related changes of sleep complaints in traumatic brain injured patients. J Neurol Neurosurg Psychiatry. 1992;55:313–315. MEDLINE |
CrossRef
3. 3Clinchot DM, Bogner J, Mysiw WJ, Fugate L, Corrigan J. Defining sleep disturbance after brain injury. Am J Phys Med Rehabil. 1998;77:291–295. MEDLINE |
CrossRef
4. 4Dikmen S, McLean A, Temkin N. Neuropsychological and psychosocial consequences of minor head injury. J Neurol Neurosurg Psychiatry. 1986;49:1227–1232. MEDLINE |
CrossRef
5. 5Hibbard MR, Uysal S, Kepler K, Bogdany J, Silver J. Axis I psychopathology in individuals with traumatic brain injury. J Head Trauma Rehabil. 1998;13(4):24–39. MEDLINE |
CrossRef
6. 6Keshavan MS, Channabasavanna SM, Reddy GN. Post-traumatic psychiatric disturbances: patterns and predictors of outcome. Br J Psychiatry. 1981;138:157–160. MEDLINE |
CrossRef
7. 7Perlis ML, Artiola L, Giles DE. Sleep complaints in chronic postconcussion syndrome. Perc Mot Skills. 1997;84:595–599. 8. 8Fichtenberg NL, Zafonte RD, Putnam S, Mann NR, Millard AE. Insomnia in a post-acute brain injury sample. Brain Inj. 2002;16:197–206. MEDLINE |
CrossRef
9. 9Ouellet MC, Beaulieu-Bonneau S, Morin CM. Insomnia after traumatic brain injury: frequency, characteristics, and risk factors. J Head Trauma Rehabil. 2006;21:199–212. MEDLINE |
CrossRef
10. 10Ford DE, Kamerow DB. Epidemiologic study on sleep disturbances and psychiatric disorders. JAMA. 1989;262:1479–1484. MEDLINE 11. 11Mellinger GD, Balter MB, Uhlenhuth EH. Insomnia and its treatment: prevalence and correlates. Arch Gen Psychiatry. 1985;42:225–232. 12. 12Flanagan SR, Greenwald B, Wieber S. Pharmacological treatment of insomnia for individuals with brain injury. J Head Trauma Rehabil. 2007;22:67–70. MEDLINE |
CrossRef
13. 13Li Pi Shan RS, Ashworth NL. Comparison of lorazepam and zopiclone for insomnia in patients with stroke and brain injury: a randomized, crossover, double-blinded trial. Am J Phys Med Rehabil. 2004;83:421–427. MEDLINE |
CrossRef
14. 14Ouellet MC, Morin CM. Cognitive behavioral therapy for insomnia associated with traumatic brain injury: a single-case study. Arch Phys Med Rehabil. 2004;85:1298–1302. Abstract | Full Text |
Full-Text PDF (99 KB)
|
CrossRef
15. 15Holbrook AM, Crowther R, Lotter A, Cheng C, King D. Meta-analysis of benzodiazepine use in the treatment of insomnia. CMAJ. 2000;162:225–233. MEDLINE 16. 16Morin CM, Wooten V. Psychological and pharmacological approaches to treating insomnia: critical issues in assessing their separate and combined effects. Clin Psychol Rev. 1996;16:521–542.
CrossRef
17. 17Nowell PD, Mazumdar S, Buysse DJ, Dew MA, Reynolds CF, Kupfer DJ. Benzodiazepines and zolpidem for chronic insomnia: a meta-analysis of treatment efficacy. JAMA. 1997;278:2170–2177. MEDLINE 18. 18Parrino L, Terzano MG. Polysomnographic effects of hypnotic drugs (A review). Psychopharmacology. 1996;126:1–16. MEDLINE |
CrossRef
19. 19Rao V, Rollings P. Sleep disturbances following traumatic brain injury. Curr Treat Options Neurol. 2002;4:77–87. 20. 20Morin CM, Culbert JP, Schwartz SM. Nonpharmacological interventions for insomnia: a meta-analysis of treatment efficacy. Am J Psychiatry. 1994;151:1172–1180. 21. 21Morin CM, Bootzin RR, Buysse DJ, Edinger JD, Espie CA, Lichstein KL. Psychological and behavioral treatment of insomnia: update of the recent evidence (1998-2004). Sleep. 2006;29:1398–1414. MEDLINE 22. 22Murtagh DR, Greenwood KM. Identifying effective psychological treatments for insomnia: a meta-analysis. J Consult Clin Psychol. 1994;63:79–89.
CrossRef
23. 23Smith MT, Huang MI, Manber R. Cognitive behavior therapy for chronic insomnia occurring within the context of medical and psychiatric disorders. Clin Psychol Rev. 2005;25:559–592. MEDLINE |
CrossRef
24. 24Frieboes RM, Müller U, Murck H, von Cramon Y, Holsboer F, Steiger A. Nocturnal hormone secretion and the sleep EEG in patients several months after traumatic brain injury. J Neuropsychiatry Clin Neurosci. 1999;11:354–360. MEDLINE 25. 25Baumann CR, Werth E, Stocker R, Ludwig S, Bassetti CL. Sleep-wake disturbances 6 months after traumatic brain injury: a prospective study. Brain. 2007;130:1873–1883.
CrossRef
26. 26George B, Landau-Ferey J, Benoît O, Dondey M, Cophignon J. [Night sleep disorders during recovery of severe head injuries (author’s transl)] [French]. Neurochirurgie. 1981;27:35–38. MEDLINE 27. 27Morin CM. Insomnia: psychological assessment and management. New York: Guilford Pr; 1993;. 28. 28Morin CM, Blais F, Savard J. Are changes in beliefs and attitudes about sleep related to sleep improvements in the treatment of insomnia?. Behav Res Ther. 2002;40:741–752. MEDLINE |
CrossRef
29. 29Gervais M, Dubé S. Étude exploratoire des besoins en services offerts à la clientèle traumatisée cranio-cérébrale au Québec. Québec: Rapport de recherche, Université Laval, Institut de réadaptation en déficience physique de Québec; 1999;. 30. 30American Sleep Disorders Association. The international classification of sleep disorders: diagnostic and coding manual. Rochester: ASDA; 1997;. 31. 31American Psychiatric Association. Diagnostic and statistical manual of mental disorders. Washington (DC): APA; 1994;. 32. 32Bastien CH, Vallieres A, Morin CM. Validation of the Insomnia Severity Index as an outcome measure for insomnia research. Sleep Med. 2001;2:297–307. Abstract | Full Text |
Full-Text PDF (207 KB)
|
CrossRef
33. 33Blais FC, Gendron L, Mimeault V, Morin CM. Evaluation of insomnia: validity of 3 questionnaires. Encephale. 1997;23:447–453. MEDLINE 34. 34Smets EM, Garssen B, Bonke B, De Haes JC. The multidimensional fatigue inventory (MFI): psychometric qualities of an instrument to assess fatigue. J Psychosom Res. 1995;39:315–325. Abstract |
Full-Text PDF (741 KB)
|
CrossRef
35. 35Fillion L, Gelinas C, Simard S, Savard J, Gagnon P. Validation evidence for the French Canadian adaptation of the Multidimensional Fatigue Inventory as a measure of cancer-related fatigue. Cancer Nurs. 2003;26:143–154.
CrossRef
36. 36Holzner B, Kemmler G, Greil R, et al. The impact of hemoglobin levels on fatigue and quality of life in cancer patients. Ann Oncol. 2002;13:965–973. MEDLINE |
CrossRef
37. 37Holzner B, et al. Fatigue in ovarian carcinoma patients: a neglected issue?. Cancer. 2003;97:1564–1572. 38. 38Beck AT, Steer RA, Garbin MG. Psychometric properties of the Beck Depression Inventory: twenty-five years of evaluation. Clin Psychol Rev. 1988;8:77–100.
CrossRef
39. 39Bourque P, Beaudette P. Étude psychométrique du questionnaire de dépression de Beck auprès d’un échantillon d’étudiants universitaires francophones. Can J Behav Sci. 1982;14:211–218. 40. 40Beck AT, Epstein N, Brown G, Steer RA. An inventory for measuring clinical anxiety: psychometric properties. J Consult Clin Psychol. 1988;56:893–897.
CrossRef
41. 41Freeston MH, Ladouceur R, Thibodeau N, Gagnon F, Rheaume J. The Beck Anxiety Inventory (Psychometric properties of a French translation). Encephale. 1994;20:47–55. MEDLINE 42. 42Bootzin RR, Epstein D, Wood JM. Stimulus control instructions. In: Hauri P editors. Case studies in insomnia. New York: Plenum Pr; 1991;p. 19–28. 43. 43Spielman AJ, Saskin P, Thorpy MJ. Treatment of chronic insomnia by restriction of time in bed. Sleep. 1987;10:45–56. MEDLINE 44. 44In: Hauri PJ editors. Case studies in insomnia. New York: Plenum Pr; 1991;. 45. 45Kazdin AE. Research design in clinical psychology. Needham Heights: Allyn & Bacon; 1998;. 46. 46Gorman BS, Allison DB. Statistical alternatives for single-case designs. In: Franklin RD, Allison DB, Gorman BS editor. Design and analysis of single-case research. Mahwah: Erlbaum; 1996;p. 159–214. 47. 47Huitema BE, McKean JW. Design specification issues in time-series intervention models. Educ Psychol Meas. 2000;60:38–58. 48. 48Lichstein KL, Wilson NM, Johnson CT. Psychological treatment of secondary insomnia. Psychol Aging. 2000;15:232–240. MEDLINE |
CrossRef
49. 49Morin CM, Stone J, McDonald K, Jones S. Psychological management of insomnia: a clinical replication series with 100 patients. Behav Ther. 1994;25:291–309.
CrossRef
50. 50Quesnel C, Savard J, Simard S, Ivers H, Morin CM. Efficacy of cognitive-behavioral therapy for insomnia in women treated for nonmetastatic breast cancer. J Consult Clin Psychol. 2003;71:189–200.
CrossRef
51. 51Ouellet MC, Morin CM. Fatigue following traumatic brain injury: frequency, characteristics, and associated factors. Rehabil Psychol. 2006;51:140–149. a Axe de Recherche en Traumatologie et Médecine d’Urgence, Centre de Recherche du Centre Hospitalier Affilié Universitaire de Québec, Québec, QC, Canada b École de psychologie, Université Laval, Québec, QC, Canada. Reprint requests to Marie-Christine Ouellet, PhD, Recherche en Traumatologie et Médecine d’urgence Hopital de l’Enfant-Jésus du CHA 1401, 18e Rue, Québec, QC G1J 1Z4, Canada
Supported by the Fonds de la Recherche en Santé du Québec. No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit upon the author(s) or upon any organization with which the author(s) is/are associated. PII: S0003-9993(07)01556-0 doi:10.1016/j.apmr.2007.09.006 © 2007 American Congress of Rehabilitation Medicine and the American Academy of Physical Medicine and Rehabilitation. Published by Elsevier Inc. All rights reserved. | |
|