Introduction: Insomnia symptoms, which are common in depression, have a significant impact on function and quality of life. However, little is known about the prevalence and associated features of insomnia symptoms in representative treatment-seeking patients with depression.Methods: Data from the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial were analyzed. STAR*D recruited 3,743 adult outpatients diagnosed with nonpsychotic major depressive disorder (MDD) from primary (n=18) and psychiatric care (n=23) clinics across the United States. Baseline sociodemographic and clinical features were compared between those with insomnia symptoms (84.7%) and those without (15.3%).Results: The most common presentation was the simultaneous presence of sleep onset, mid-nocturnal, and early morning insomnia symptoms (27.1%). Of these three types of insomnia symptoms, mid-nocturnal insomnia symptoms were the most commonly found alone (13.5%) and in combination with one or more other types (82.3%). Insomnia symptoms were associated with several indicators of a more severe depressive illness. Only a small proportion of participants with insomnia symptoms were receiving treatment for sleep disturbances at study initiation, and the vast majority of those receiving treatment still reported having insomnia symptoms.Conclusion: In outpatients who seek treatment for nonpsychotic MDD in typical clinical settings, insomnia symptoms are very common, undertreated, and indicative of a more severe depression.
BackgroundDespite wide promotion, clinical practice guidelines have had limited effect in changing physician behavior. Effective implementation strategies to date have included: multifaceted interventions involving audit and feedback, local consensus processes, marketing; reminder systems, either manual or computerized; and interactive educational meetings. In addition, there is now growing evidence that contextual factors affecting implementation must be addressed such as organizational support (leadership procedures and resources) for the change and strategies to implement and maintain new systems.MethodsTo examine the feasibility and effectiveness of implementation of a computerized decision support system for depression (CDSS-D) in routine public mental health care in Texas, fifteen study clinicians (thirteen physicians and two advanced nurse practitioners) participated across five sites, accruing over 300 outpatient visits on 168 patients.ResultsIssues regarding computer literacy and hardware/software requirements were identified as initial barriers. Clinicians also reported concerns about negative impact on workflow and the potential need for duplication during the transition from paper to electronic systems of medical record keeping.ConclusionThe following narrative report based on observations obtained during the initial testing and use of a CDSS-D in clinical settings further emphasizes the importance of taking into account organizational factors when planning implementation of evidence-based guidelines or decision support within a system.
The TREAD study is uniquely designed to overcome sources of potential bias and threats to internal and external validity that have limited prior research on the mental health effects of exercise. The study is facilitated by the development of a multidisciplinary research team that includes experts in both depression treatment and exercise physiology, as well as other related fields.
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