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Background: Older adults have the highest traumatic brain injury (TBI)-related morbidity and mortality, and rates in older adults are increasing, chiefly due to falls., Objective: This study used hierarchical linear modeling (HLM) to examine baseline predictors of functional independence trajectories across 1, 2, 5, and 10 years after TBI in older adults., Methods: Participants comprised 2,459 individuals aged 60 or older at the time of TBI, enrolled in the longitudinal TBI Model Systems database, and had Functional Independence Measure Motor and Cognitive subscale scores and Glasgow Outcome Scale-Extended scores during at least 1 time point., Results: Functional independence trajectories generally declined over the 10 years after TBI. Individuals who were older, male, underrepresented minorities, had lower education, were unemployed at time of injury, had no history of substance use disorder, or had difficulties with learning, dressing, and going out of the home prior to the TBI, or longer time in posttraumatic amnesia had lower functional independence trajectories across at least one of the functional independence outcomes., Conclusion: These predictors of functional independence in older adults with TBI may heighten awareness of these factors in treatment planning and long-term health monitoring and ultimately as a way to decrease morbidity and mortality.

Purpose: Sleep disturbance is common in primary care. The main treatment options include medication and cognitive behavioral therapy for insomnia. Best practice guidelines recommend a collaborative decision-making approach to treatment. This study examined differences in insomnia treatment preferences based on demographic and clinical characteristics among primary care patients., Methods: A total of 200 patients (mean [SD] age, 54.92 [12.48] years) at a university medical center and community health clinic participated in brief screenings for insomnia, depression, anxiety, and insomnia treatment preference. Insomnia symptoms were measured with the Insomnia Severity Index, whereas depressive and anxiety symptoms were measured with the Patient Health Questionnaire 2 and Generalized Anxiety Disorder 2. χ 2 analyses were performed to detect significant differences in preference between groups., Findings: A total of 46.5% of participants preferred medication and 56.0% preferred behavioral treatment (ratings not exclusionary). Preference for behavioral treatment was highest among severe insomnia presentations (15.2% preferred to 4.5% disliked; P = 0.002). Medication preference was higher among patients with elevated anxiety (57.3% preferred to 42.7% disliked; P = 0.017). Preference for behavioral treatment (66.7% preferred to 33.3% disliked; P = 0.012) and medication (56.8% preferred to 43.2% disliked; P = 0.016) was highest among those with elevated depression. Treatment preference only differed by age for behavioral treatment (P = 0.008). Preference was highest among patients ≤51 years of age (67.2% preferred to 32.8% disliked)., Implications: Primary care patients preferred behavioral and medication strategies for insomnia treatment. In addition, as mental health and sleep worsen, patients were more likely to prefer behavioral treatment. Knowledge of patient treatment preference may facilitate shared decision making, which increases patient satisfaction with care and engagement with treatment., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Suicidality is a major public health concern, particularly for low-income, trauma-exposed patients with limited access to mental health providers. However, limited research has modeled pathways of suicidality in safety-net primary care samples. Patients (N = 207) in a safety-net primary care clinic completed measures of childhood and adult trauma exposure, depression, and suicidality. Participants (M age = 44.8 years, SD = 11.6), were 60.4% male, 63.8% Black/African American, and predominantly low-income (i.e., 69.1% reported an annual income less than $5,000 USD). Half of the sample reported at least four childhood traumatic events (M = 3.9 events, SD = 3.0) and approximately three adult traumatic events (M = 3.0 events, SD = 2.1). Most participants (82.1%) reported significant depressive symptoms, and 43.5% endorsed recent suicidality. Models showing the mediational effect of depression on the association between trauma exposure and suicidality, β = .20, B = 0.23, SE = 0.05, 95% CI [0.16, 0.32], and the moderational effect of trauma exposure on the association between depression and suicidality, β = .16, B = 0.20, SE = 0.08, p = .007, were both supported. These results underscore the high prevalence of trauma exposure, depression, and suicidality in a safety-net primary care sample. They also highlight the pervasiveness and complexity of suicidality in low-income primary care patients, emphasize the importance of trauma-informed suicide assessment, and identify trauma sequelae and depression as potential treatment targets to reduce suicidality., (© 2021 International Society for Traumatic Stress Studies.)

Telemedicine use increased during the COVID-19 pandemic, but uptake was uneven and future use is uncertain. This study, then, examined the ability of personal and environmental variables to predict telemedicine adoption during the COVID-19 pandemic. A total of 230 physicians practicing in the U.S. completed questions concerning personal and environmental characteristics, as well as telemedicine use at three time points: pre-pandemic, during the pandemic, and anticipated future use. Associations between use and characteristics were determined to identify factors important for telemedicine use. Physicians reported that telemedicine accounted for 3.72% of clinical work prior to the pandemic, 46.03% during the pandemic, and predicted 25.44% after the pandemic ends. Physicians within hospitals reported less increase in telemedicine use during the pandemic than within group practice ( p = 0.016) and less increase in use at hospitals compared to academic medical centers ( p = 0.027) and group practice ( p = 0.008). Greater telemedicine use was associated with more years in practice ( p = 0.009), supportive organizational policies ( p = 0.001), organizational encouragement ( p = 0.003), expectations of greater patient volume ( p = 0.003), and perceived higher quality of patient care ( p = 0.032). Characteristics such as gender, number of physicians, and level of telemedicine training were not significant predictors. Organizations interested in supporting physicians to adopt telemedicine should encourage its use and create policies supporting its use. More senior physicians had a greater degree of telemedicine uptake, while training programs did not predict use, suggesting that efforts to develop telemedicine competency in younger physicians may be ineffective and should be re-examined.

Background: As the research documenting loneliness as a risk factor for morbidity and mortality continues to grow, it becomes increasingly critical to understand the mechanics of this relationship. This study assessed whether sleep disturbance mediates the relationship between loneliness and health., Method: Data came from the 2006, 2010, and 2014 waves of the Health and Retirement Study, a longitudinal study of older Americans; participants ≥ 65 who completed the Psychosocial and Lifestyle Questionnaire in 2006 were included (n = 5067). Measures include the Hughes loneliness scales, a modified version of the Jenkins sleep scale, and self-reported health. Cross-lagged mediation models (i.e., path analysis) were used to model the relationships between loneliness, sleep disturbance, and self-reported health over the 8-year span., Results: Loneliness predicted subsequent sleep disturbance, which in turn predicted subsequent self-reported health. Moreover, there was evidence of both direct and indirect effects (via sleep disturbance) of loneliness on self-reported health. These effects remained after controlling for demographics, isolation, and depression., Conclusion: Sleep disturbance partially mediates the relationship between loneliness and self-reported health over 8 years. These findings are not attributable to isolation or depression. Further research is necessary to develop and assess a more comprehensive model of how loneliness shapes health. This study indicates that targeting sleep disturbance may mitigate the health risks of loneliness in older Americans.

Objective: Racial disparities in sleep may be consequential among college students given high rates of dysfunctional sleep among this population. The present study sought to investigate whether disparities in sleep explain existing mental health disparities., Method: Data included secondary analysis of a college risk behaviors and health study (n = 1242, mean age = 18.5). Race was dichotomized as White or Black, excluding all others, with participants completing measures of sleep at baseline and measures of depression and anxiety at follow-up 1 to 2 years later., Results: Compared to White students, Black students were more likely to report lower rates of depression and anxiety, but poorer sleep outcomes. Mediation analyses revealed that sleep partially mediated (suppressed) the association between race and depressive and anxiety symptoms., Conclusions: Results indicate that disparities in sleep may play an important role in the association between race and mental health symptoms among college students. Future health disparity research would benefit from exploring the potentially bidirectional relationship between sleep and mental health symptoms among college students., (© 2020 Wiley Periodicals LLC.)

Objectives: To model the relationship between loneliness and sleep disturbance over time. Method : Data came from the Health and Retirement Study (2006, 2010, 2014 waves; age ≥ 65 years; n = 5,067). Loneliness was measured via the Hughes Loneliness Scale and sleep disturbance via a four-item scale assessing sleep and restedness. Cross-lagged panel modeling (path analysis) was used to jointly examine reciprocal effects between loneliness and sleep disturbance. Results : Higher loneliness correlated with higher sleep disturbance at baseline. There was evidence of reciprocal effects between loneliness and sleep across timepoints. These associations overall remained when accounting for demographics, objective isolation, and depression. Discussion : Although causality cannot be established, the findings indicate that the relationship between loneliness and sleep disturbance is bidirectional. This requires revision to the current theory on sleep disturbance as a mechanism for the relationship between loneliness and health and indicates that effective treatment of sleep disturbance may reduce loneliness.

Background: Many patients with poorly controlled multiple chronic conditions (MCC) also have unhealthy behaviors, mental health challenges, and unmet social needs. Medical management of MCC may have limited benefit if patients are struggling to address their basic life needs. Health systems and communities increasingly recognize the need to address these issues and are experimenting with and investing in new models for connecting patients with needed services. Yet primary care clinicians, whose regular contact with patients makes them more familiar with patients' needs, are often not included in these systems., Methods: We are starting a clinician-level cluster-randomized controlled trial to evaluate how primary care clinicians can participate in these community and hospital solutions and whether doing so is effective in controlling MCC. Sixty clinicians in the Virginia Ambulatory Care Outcomes Research Network will be matched by age and sex and randomized to usual care (control condition) or enhanced care planning with clinical-community linkage support (intervention). From the electronic health record we will identify all patients with MCC, including cardiovascular disease or risks, diabetes, obesity, or depression. A baseline assessment will be mailed to up to 50 randomly selected patients for each clinician (3000 total). Ten respondents per clinician (600 patients total) with uncontrolled MCC will be randomly selected for study inclusion, with oversampling of minorities. The intervention includes two components. First, we will use an enhanced care planning tool, My Own Health Report (MOHR), to screen patients for health behavior, mental health, and social needs. Patients will be supported by a patient navigator, who will help patients prioritize needs, create care plans, and write a personal narrative to guide the care team. Patients will update care plans every 1 to 2 weeks. Second, we will create community-clinical linkage to help address patients' needs. The linkage will include community resource registries, personnel to span settings (patient navigators and a community health worker), and care team coordination across team members through MOHR., Discussion: This study will help inform efforts by primary care clinicians to help address unhealthy behaviors, mental health needs, and social risks as a strategy to better control MCC., Trial Registration: ClinicalTrials.gov: NCT03885401. Registered on 19 September 2019.

Objective: This article positions the special issue on telepsychology amidst the COVID-19 pandemic, which has dramatically accelerated the adoption and dissemination of telepsychology., Method: The article makes general observations about the themes emerging in the special issue with considerations for application, training, theory-driven research, and policy. It then presents as a case example the rapid deployment during the pandemic of telepsychology doctoral training and services at the Virginia Commonwealth University (VCU) Primary Care Psychology Collaborative., Results: Facilitators to VCU telepsychology deployment included trainee and supervisor resources, strong telepsychology training, and prior experience. Barriers to overcome included limited clinic capacity, scheduling, technology, and accessibility and diversity issues. Lessons learned involved presenting clinical issues, supervision, and working with children and adolescents., Conclusions: Telepsychology is crucial for psychological service provision, during the COVID-19 pandemic more than ever, and that is unlikely to change as psychologists and patients increasingly continue to appreciate its value., (© 2020 Wiley Periodicals LLC.)

Despite the mounting evidence linking loneliness with health, the mechanisms underlying this relationship remain obscure. This systematic review and meta-analysis on the association between loneliness and one potential mechanism-sleep-identified 27 relevant articles. Loneliness correlated with self-reported sleep disturbance ( r  = .28, 95% confidence interval (.24, .33)) but not duration, across a diverse set of samples and measures. There was no evidence supporting age or gender as moderators or suggesting publication bias. The longitudinal relationship between loneliness and sleep remains unclear. Loneliness is related to sleep disturbance, but research is necessary to determine directionality, examine the influence of other factors, and speak to causality., Competing Interests: Declaration of conflicting interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2020.)

Background : College students are at increased risk for sleep disorders, including insomnia disorder and obtaining less than 6.5 hr of sleep per night by choice, or behaviorally induced insufficient sleep syndrome (BIISS). These disorders can have deleterious daytime consequences, including depression. This study aims to establish the prevalence of insomnia and BIISS disorders and examine associations of insomnia and BIISS with other sleep characteristics and depression. Methods : A subset of data from Spit for Science, a college risk behaviors and health study ( n = 989) was used. Insomnia and BIISS were defined as mutually exclusive disorders, based on diagnostic criteria. Results : A majority (68%) of students were categorized as normal sleepers, followed by insomnia (22%), and BIISS (10%). Sleep duration was comparable between BIISS and insomnia, while daytime sleepiness was significantly higher in BIISS, and sleep latency was longer in insomnia ( m = 44 vs. m = 13 min). Insomnia was associated with the highest depression symptoms, followed by BIISS, and normal sleep, controlling for demographics. Insomnia was associated with twice the risk of moderate or higher depression compared to normal sleep (CI: 1.60, 2.70, p < .001). Conclusion : These findings highlight the sleep difficulties endemic to college populations. Further, this study provides the first prevalence estimation of BIISS in college students and the first comparison of insomnia and BIISS on sleep characteristics and depressive symptoms. This study underscores the importance of targeted screening and intervention to improve both sleep and depression in this vulnerable population.

Objective: To jointly examine isolation, loneliness, and cynical hostility as risk factors for cognitive decline in older adults. Method: Data came from the 2006 to 2012 waves of the Health and Retirement Study (HRS), a longitudinal study of U.S. older adults (age ⩾ 65 years, n = 6,654). Measures included frequency of contact with social network (objective isolation), the Hughes Loneliness Scale (loneliness), a modified version of the Cook-Medley Hostility Inventory (cynical hostility), and a modified version of the Telephone Interview for Cognitive Status (cognitive function). Multilevel modeling (random slope + intercept) was used to examine the association between these factors and trajectories of cognitive function. Results and Discussion: After controlling for demographic characteristics, self-reported health, and functional limitations, loneliness (β = -.34, 95% confidence interval [CI] = [-0.56, -0.11), and cynical hostility (β = -.14, 95% CI = [-0.24, -0.04) correlated with lower cognitive function, but none predicted change in cognitive function. Objective social isolation was associated with lower cognitive function (β = -.27, 95% CI = [-0.41, -0.12]) and steeper decline in cognitive function (β = -.09, 95% CI = [-0.16, -0.01]).

Health care is increasingly delivered through team-based, collaborative strategies with interprofessional education as an important mechanism for building interprofessional practice competencies. This paper describes an Interprofessional Seminar on Integrated Primary Care (IS-IPC) designed to meet this educational need with interprofessional team-based learning as the foundation of an iterative process such that education and practice inform one another. The IS-IPC can be used to educate an interprofessional group of learners about key topics relevant to working together in integrated primary care. The IS-IPC describes steps in developing an interprofessional seminar, common challenges, and their solutions in creating interprofessional learning experiences, and eight foundational content modules containing an outline and curricular resources. The IS-IPC facilitates interprofessional educator partnerships at the local level and can be customized to fit the local environment, pedagogical philosophy, and learning objectives.

Objective: The integration of psychological and behavioral health services into safety net primary care clinics has been viewed as a step toward reducing disparities in mental health treatment and addressing behavioral factors in chronic diseases. Though it is posited that integrated behavioral health (IBH) reduces preventable medical costs, this premise has yet to be tested in a safety net primary care clinic., Method: Retrospective pre- and posttreatment analysis with quasi-experimental control group was constructed using propensity score matching. Participants included 1,440 adult patients at a safety net primary care clinic, 720 of whom received IBH services, and 720 of whom received medical treatment only., Results: Analysis showed that rates of preventable inpatient utilization decreased significantly among IBH-treated patients compared to no change among control patients., Conclusion: IBH was associated with decreased rates of preventable inpatient visits. IBH may present opportunities to deliver improved holistic patient care while reducing unnecessary inpatient medical utilization., (© 2016 Wiley Periodicals, Inc.)

Objective: Traumatic events, particularly those that are interpersonal in nature, are associated with increased risk for co-occurring sequelae, including sleep disturbances, posttraumatic stress disorder (PTSD), and alcohol use disorder (AUD). However, the associations between these phenotypes have not been explored among college students., Methods: We examined relationships between type of potentially traumatic event (PTE) exposure (pre-college) and sleep disturbances, as well as mediating effects of lifetime PTSD and AUD symptoms on these relationships, in a large undergraduate sample (N = 1599, 64.7% female). Hierarchical linear regressions were conducted, beginning with demographics and then adding interpersonal and accidental PTEs in a stepwise regression; mediation analyses were run., Results: Within the sample, 33.7% endorsed at least one interpersonal PTE, while 64.4% endorsed at least one accidental PTE. Hierarchical regressions demonstrated that interpersonal (β = 0.202, p = 0.000), but not accidental PTE exposure significantly predicted disturbed sleep. Both PTSD and AUD symptoms significantly mediated (p values < 0.001) the relationship between interpersonal PTE exposure and sleep, with indirect effects accounting for 61% and 17% of total effects, respectively. In the correlated mediation model, both disorders remained significant mediators (p < 0.001), with indirect effects accounting for 56% (PTSD symptoms) and 14% (AUD symptoms) of total effects on sleep., Conclusions: Results suggest that interpersonal PTEs are more potent predictors of sleep problems than accidental PTEs. Further, trauma exposure psychiatric symptom sequelae (PTSD, AUD) account for part of the relationship between interpersonal PTE exposure and disturbed sleep, which both independently and jointly suggests that treating PTSD and AUD symptoms in college students may also improve sleep., (Copyright © 2017. Published by Elsevier B.V.)

This article considers methodology for developing an education-only control group and proposes a simple approach to designing rigorous and well-accepted control groups. This approach is demonstrated in a large randomized trial. The Lifestyles trial (n = 367) compared three group interventions: (a) cognitive-behavioral treatment (CBT) for osteoarthritis pain, (b) CBT for osteoarthritis pain and insomnia, and (c) education-only control (EOC). EOC emulated the interventions excluding hypothesized treatment components and controlling for nonspecific treatment effects. Results showed this approach resulted in a control group that was highly credible and acceptable to patients. This approach can be an effective and practical guide for developing high-quality control groups in trials of behavioral interventions.

Objective: To test cognitive-behavioral therapy for insomnia (CBT-I) in patients who not only receive psychiatric treatment in a outpatient psychiatry clinic but also continue to experience chronic insomnia despite receiving pharmacological treatment for sleep. CBT-I included an optional module for discontinuing hypnotic medications., Method: Patients were randomized to 5 sessions of individual CBT-I (n = 13) or treatment as usual (n = 10). Sleep parameters were assessed using sleep diaries at pre- and posttreatment. Questionnaires measuring depression, anxiety, and health-related quality of life were also administered., Results: CBT-I was associated with significant improvement in sleep, with 46% obtaining normal global sleep ratings after treatment. However, no changes in secondary outcomes (depression, anxiety, quality of life) were obtained and no patients elected to discontinue their hypnotic medications., Conclusions: Patients with complex, chronic psychiatric conditions can obtain sleep improvements with CBT-I beyond those obtained with pharmacotherapy alone; however, sleep interventions alone may not have the same effect on mental health outcomes in samples with more severe and chronic psychiatric symptoms and dependency on hypnotic medications., (© 2015 Wiley Periodicals, Inc.)

Unlabelled: In a primary care population of 367 older adults (aged ⩾60 years) with osteoarthritis (OA) pain and insomnia, we examined the relationship between short-term improvement in sleep and long-term sleep, pain, and fatigue outcomes through secondary analyses of randomized controlled trial data. Study participants, regardless of experimental treatment received, were classified either as improvers (⩾30% baseline to 2-month reduction on the Insomnia Severity Index [ISI]) or as nonimprovers. After controlling for treatment arm and potential confounders, improvers showed significant, sustained improvements across 18 months compared with nonimprovers in pain severity (P<0.001, adjusted mean difference=-0.51 [95% CI: -0.80, -0.21), arthritis symptoms (P<0.001, 0.63 [0.26, 1.00]), and fear avoidance (P=0.009, -2.27 [-3.95, -0.58]) but not in catastrophizing or depression. Improvers also showed significant, sustained improvements in ISI (P<0.001, -3.03 [-3.74, -2.32]), Pittsburgh Sleep Quality Index Total (P<0.001, -1.45 [-1.97, -0.93]) and general sleep quality (P<0.001, -0.28 [-0.39, -0.16]) scores, Flinders Fatigue Scale (P<0.001, -1.99 [-3.01, -0.98]), and Dysfunctional Beliefs About Sleep Scale (P=0.037, -2.44 [-4.74, -0.15]), but no improvements on the Functional Outcomes of Sleep Questionnaire or the Epworth Sleepiness Scale. We conclude that short-term (2-month) improvements in sleep predicted long-term (9- and 18-month) improvements for multiple measures of sleep, chronic pain, and fatigue. These improvements were not attributable to nonspecific benefits for psychological well-being, such as reduced depression. These findings are consistent with benefits of improved sleep for chronic pain and fatigue among older persons with osteoarthritis pain and comorbid insomnia if robust improvements in sleep are achieved and sustained., Trial Registration: ClinicalTrials.gov Identifier: NCT01142349., (Copyright © 2014 International Association for the Study of Pain. Published by Elsevier B.V. All rights reserved.)

Study Objectives: Evaluate long-term effects of group interventions on sleep and pain outcomes in a primary care population of older adults with osteoarthritis pain and sleep disturbance., Design: Double-blind, cluster-randomized controlled trial with 18-mo follow-up., Setting: Group Health and University of Washington, Seattle, WA, from 2009 to 2011., Participants: Three hundred sixty-seven adults age 60 y and older, with osteoarthritis pain and insomnia symptoms., Interventions: Six weekly sessions of group cognitive behavioral therapy for insomnia and pain (CBT-PI), pain alone (CBT-P), and education-only control (EOC) delivered in patients' primary care clinics., Measurements and Results: There were no significant differences between treatment groups in sleep outcomes at 18 mo. This is a change from published significant 9-mo follow-up results for insomnia severity (Insomnia Severity Index) and sleep efficiency. There were no significant treatment differences in pain at either follow-up. Post hoc analyses of participants with greater insomnia and pain severity at baseline (n = 98) showed significant (P = 0.01) 18-mo reductions in pain comparing CBT-PI versus CBT-P (adjusted mean difference [AMD] = -1.29 [95% confidence interval (CI): -2.24,-0.33]). Moderate, albeit nonsignificant, CBT-PI versus EOC treatment effects for insomnia severity (AMD = -1.43 [95% CI: -4.71, 1.86]) and sleep efficiency (AMD = 2.50 [95% CI: -5.04, 10.05]) were also observed. Possible trial design and methodological considerations that may have affected results are discussed., Conclusions: Results suggest patients with higher levels of comorbid pain and insomnia may be most likely to experience sustained benefit from cognitive behavioral therapy interventions over time, and inclusion of insomnia treatment may yield more clinically meaningful improvements than cognitive behavioral therapy for pain alone., Trial Registration: clinicaltrials.gov identifier: NCT01142349.

Objective: To examine the effect of cognitive-behavioral therapy for insomnia (CBT-I) on the underreporting of sleep relative to objective measurement, a common occurrence among individuals with insomnia., Method: Pre-treatment and post-treatment self-report measures of sleep were compared with those obtained from home-based polysomnography (PSG) in 60 adults (mean age = 69.17; 42 women) with comorbid insomnia. The self-report data were published previously in a randomized controlled trial demonstrating the efficacy of CBT-I compared with a placebo treatment., Results: Self-report measures significantly underestimated sleep at pre-treatment and CBT-I led to a correction in this discrepancy. There were no significant changes in PSG after CBT-I. Path analysis showed that an increase in an objective proxy measure of sleep quality (i.e., decreased stage N1 sleep) after CBT-I was significantly related to improvements in self-report of sleep, with full mediation by reductions in discrepancy., Conclusions: This is the first CBT-I outcome study to analyze discrepancy changes and demonstrate that these changes account for a significant portion of self-report outcome. In addition, improved sleep quality as measured by a decrease in percentage of stage N1 sleep following treatment may be one mechanism that explains why sleep estimation is more accurate following CBT-I., (© 2012 Wiley Periodicals, Inc.)

The efficacy of cognitive-behavioral therapy for insomnia (CBT-I) to improve both short- and long-term outcomes in both uncomplicated and comorbid insomnia patients has been repeatedly and conclusively demonstrated. Further demonstrations of efficacy, per se, in additional comorbid insomnia populations are likely not the best use of limited energy and resources. Rather, we propose that future CBT-I research would be better focused on three key areas: (a) increasing treatment efficacy, particularly for more clinically relevant outcomes; (b) increasing treatment effectiveness and potential for translation into the community, with a particular focus on variants of CBT-I and alternative delivery modalities within primary healthcare systems; and (c) increasing CBT-I practitioner training and dissemination., (© 2013 Wiley Periodicals, Inc.)

Objectives: To assess whether older persons with osteoarthritis (OA) pain and insomnia receiving cognitive-behavioral therapy for pain and insomnia (CBT-PI), a cognitive-behavioral pain coping skills intervention (CBT-P), and an education-only control (EOC) differed in sleep and pain outcomes., Design: Double-blind, cluster-randomized controlled trial with 9-month follow-up., Setting: Group Health and University of Washington, 2009 to 2011., Participants: Three hundred sixty-seven older adults with OA pain and insomnia., Interventions: Six weekly group sessions of CBT-PI, CBT-P, or EOC delivered in participants' primary care clinics., Measurements: Primary outcomes were insomnia severity and pain severity. Secondary outcomes were actigraphically measured sleep efficiency and arthritis symptoms., Results: CBT-PI reduced insomnia severity (score range 0-28) more than EOC (adjusted mean difference = -1.89, 95% confidence interval = -2.83 to -0.96; P < .001) and CBT-P (adjusted mean difference = -2.03, 95% CI = -3.01 to -1.04; P < .001) and improved sleep efficiency (score range 0-100) more than EOC (adjusted mean difference = 2.64, 95% CI = 0.44-4.84; P = .02). CBT-P did not improve insomnia severity more than EOC, but improved sleep efficiency (adjusted mean difference = 2.91, 95% CI = 0.85-4.97; P = .006). Pain severity and arthritis symptoms did not differ between the three arms. A planned analysis in participants with severe baseline pain revealed similar results., Conclusion: Over 9 months, CBT of insomnia was effective for older adults with OA pain and insomnia. The addition of CBT for insomnia to CBT for pain alone improved outcomes., (© 2013, Copyright the Authors Journal compilation © 2013, The American Geriatrics Society.)

Objective: To examine the perceived importance of needs and the extent to which they are met among a sample of family members in an inpatient polytrauma setting., Method: The Family Needs Questionnaire was administered to 44 family members of patients at the Polytrauma Rehabilitation Center at McGuire Veterans Affairs Medical Center over a 30-month period., Results: Families rated health information needs as most important and most frequently met. conversely, family members rated emotional support and instrumental support needs as least important and most frequently unmet., Conclusion: Preliminary data suggest that the similarity between family needs in military and civilian settings is noteworthy, and provide direction for development of empirically based family intervention models for polytrauma settings.

Six weekly sessions of group cognitive-behavioral therapy for insomnia and osteoarthritis pain (CBT-PI), and for osteoarthritis pain alone (CBT-P) were compared to an education only control (EOC). Basic education about pain and sleep was comparable, so EOC controlled for information and group participation. Active interventions differed from EOC in training pain coping skills (CBT-P and CBT-PI) and sleep enhancement techniques (CBT-PI). Persons with osteoarthritis age 60 or older were screened for osteoarthritis pain and insomnia severity via mailed survey. Primary outcomes were pain severity (pain intensity and interference ratings from the Graded Chronic Pain Scale) and insomnia severity (Insomnia Severity Index). Secondary outcomes were arthritis pain (AIMS-2 symptom scale) and sleep efficiency assessed by wrist actigraphy. Ancillary outcomes included: cognitive function, depression, and health care use. A clustered randomized design provided adequate power to identify moderate effects on primary outcomes (effect size>0.35). Modified intent to treat analyses, including all participants who attended the first session, assessed effects across CBT-PI, CBT-P, and EOC groups. Treatment effects were assessed post-intervention (2 months) and at 9 months, with durability of intervention effects evaluated at 18 months. The trial was executed in 6 primary clinics, randomizing 367 participants, with 93.2% of randomized patients attending at least 4 group sessions. Response rates for post-intervention and 9 month assessments were 96.7% and 92.9% respectively. This hybrid efficacy-effectiveness trial design evaluates whether interventions yield specific benefits for clinical and behavioral outcomes relative to an education only control when implemented in a primary care setting., (Copyright © 2012 Elsevier Inc. All rights reserved.)

Background: Research examining age differences after heart transplant (HT) has focused primarily on morbidity and mortality outcomes, with little emphasis on potential age differences in quality of life and psychosocial outcomes. The objective of the study was to determine whether older patients have more positive adjustment and quality of life several years after HT compared with younger patients., Methods: The study recruited 555 patients who were at least 5 years post-HT from 4 United States medical centers. The sample included 165 older patients (≥ 60 years at HT), 300 middle-aged patients (between 45 and 59 years), and 90 younger patients (< 45 years). Of these, 78% were men, 88% were white, and most were well educated (14.04 mean years of education). Outcome measures examined quality of life, social support, mood, coping strategies, stress, health functioning, and adherence. Hypotheses regarding outcomes were derived from incidental findings from the original study., Results: Statistics included multivariate analyses of covariance, followed by univariate analyses of covariance that controlled for differences in sex, race, years of education, and marital status. Older HT patients were more satisfied with quality of life (p < 0.001) and social support (p = 0.003), had less HT-related stress (p < 0.001), negative affect (p < 0.001), depression (p < 0.001), better overall functioning (p = 0.035), less use of negative coping strategies (p = 0.006), less difficulty with adherence (p < 0.001), and better actual adherence (p < 0.001) than younger and middle-aged HT patients., Conclusions: Older patients in this large sample had better quality of life, psychosocial adjustment, and adherence after HT than middle-aged and younger patients. If replicated, this age advantage should at least be considered when assessing age as a criterion for HT clinical decision making and organ allocation policy., (Copyright © 2012 International Society for Heart and Lung Transplantation. All rights reserved.)

Objective: This paper examines the prevalence and severity of comorbid pain, insomnia, and depression in a population sample of older adults with osteoarthritis (OA), and assesses characteristics distinguishing participants from non-participants in a randomized clinical trial to improve pain and sleep., Methods: Potential subjects were Group Health Cooperative members, aged 60+, who had an electronic medical record OA diagnosis in the prior 3 years. Participants were recruited using a low-cost mailed survey. Fifty-five percent of surveys were completed and returned (n=3321). Persons with Grade II-IV arthritis pain on the Graded Chronic Pain Scale and reporting sleep difficulties 3+ nights/week during the past month with daytime dysfunction (n=834) were invited to participate in one of three group-format behavioral self-management interventions. A total of 367 participants attended the first group class., Results: One-third (36.4%) of survey respondents had clinically elevated levels of OA pain and insomnia. Group participants and non-participants did not differ in ratings of pain severity, sleep disturbance, depression, or receipt of prescription medications for pain or sleep. Participants were significantly older (p<.001) and more likely to be retired (p<.001) than subjects who were eligible to participate but did not., Conclusion: Participation in a group-format behavioral intervention for pain and insomnia was not related to participant clinical characteristics, but only to factors associated with ability to attend a daytime class (age and retirement status). We conclude that population-based recruitment yielded randomized trial participants who are clinically generalizable to the population of OA patients with significant pain and insomnia., (2011 Elsevier Inc. All rights reserved.)

Chronic insomnia is a highly prevalent condition that has psychological and medical consequences for those who suffer from it and financial consequences for both the individual and society. In spite of the fact that nonpharmacologic treatment methods have been developed and shown to be as or more effective than medication for chronic insomnia, these methods remain greatly underutilized due to an absence of properly trained therapists and a general failure in dissemination. A stepped-care model implemented in a primary-care setting offers a public health solution to the problem of treatment accessibility and delivery of behavioral treatments for insomnia. Such a model would provide graduated levels of cognitive behavioral intervention, with corresponding increases in intensity and cost, including self-help, manualized group treatment, brief individual treatment, and finally, individualized behavioral treatment provided by a specialist. To provide such a systematic approach, future research would need to confirm several aspects of the model, and a cadre of professionals would need to be trained to administer manualized care in both group and individualized formats.

We examined the relationship between social discomfort and depression in a sample of 89 adults with leg amputations at two outpatient clinics. It was hypothesized that individuals who reported being uncomfortable with social contacts involving acknowledgement of their amputation or prosthesis were more prone to depression than other patients. A set of questions addressing different aspects of social discomfort demonstrated internal consistency and were used as a scale. Social discomfort was significantly correlated with scores on the Center for Epidemiologic Studies-Depression Scale depression scale (r = .41). Multiple regression analysis showed that social discomfort was a significant independent predictor of depression, after holding constant the effects of age, gender, social support, time since amputation, reason for amputation, and perceived health. These data indicate that health care professionals should view the expression of social discomfort by amputee patients as a possible "marker" for depression. Further studies are planned to develop and validate an expanded social discomfort scale.

A standard reminiscence interview and one that focused on successfully met challenges reduced state anxiety and enhanced coping self-efficacy when measured against both attention-placebo and no-intervention control groups in a sample of 104 elderly male patients facing surgery. Age-peer interviewers did not elicit significantly greater overall reductions in state anxiety or increases in coping self-efficacy scores than younger interviewers (nonpeers), but did produce significantly higher coping self-efficacy scores than nonpeers when administering the challenge reminiscence interview.

The rate of forgetting standardized line drawings of common objects was assessed in groups of young (M age = 22 years) and older (M age = 70.5 years) subjects. The two groups forgot equal quantities of pictorial stimuli over successive intervals of 10 min, 2 hr, and 48 hr, after being matched for original learning. In contrast, the older subjects showed the expected age decrement in reproduction of geometric designs from memory. These findings indicate that aging does not affect retention of pictures when differences in learning and retrieval abilities are controlled.