Biomedical subjects

Bruce D Grannemann

Publications and source records attributed to Bruce D Grannemann.

7 recordsLinked to original sources

PubMed2006

Assessing physicians' use of treatment algorithms: Project IMPACTS study design and rationale.

Effective treatments for major depressive disorder have been available for 35 years, yet inadequate pharmacotherapy continues to be widespread leading to suboptimal outcomes. Evidence-based medication algorithms have the potential to bring much-needed improvement in effectiveness of antidepressant treatment in "real-world" clinical settings. Project IMPACTS (Implementation of Algorithms using Computerized Treatment Systems) addresses the critical question of how best to facilitate integration of depression treatment algorithms into routine care. It tests an algorithm implemented through a computerized decision support system using a measurement-based care approach for depression against a paper-and-pencil version of the same algorithm and non-algorithm-based, specialist-delivered usual care. This paper reviews issues related to the Project IMPACTS study rationale, design, and procedures. Patient outcomes include symptom severity, social and work function, and quality of life. The economic impact of treatment is assessed in terms of health care utilization and cost. Data collected on physician behavior include degree of adherence to guidelines and physician attitudes about the perceived utility, ease of use, and self-reported effect of the use of algorithms on workload. Novel features of the design include a two-tiered study enrollment procedure, which initially enroll physicians as subjects, and then following recruitment of physicians, enrollment of subjects takes place based initially on an independent assessment by study staff to determine study eligibility. The study utilizes brief, easy-to-use symptom severity measures that facilitate physician decision making, and it employs a validated, phone-based, follow-up assessment protocol in order to minimize missing data, a problem common in public sector and longitudinal mental health studies. IMPACTS will assess the success of algorithm implementation and subsequent physician adherence using study-developed criteria and related statistical approaches. These new procedures and data points will also allow a more refined assessment of algorithm-driven treatment in the future.

Algorithms↗

PubMed2006

Exercise as an augmentation strategy for treatment of major depression.

The use of augmentation strategies among patients with major depression is increasing because rates of complete remission with standard antidepressant monotherapy are quite low. Clinical and neurobiological data suggest that exercise may be a good candidate for use as an augmentation treatment for depression. This pilot study examined the use of exercise to augment antidepressant medication in patients with major depression. Seventeen patients with incomplete remission of depressive symptoms began a 12-week exercise program while continuing their antidepressant medication (unchanged in type or dose). Individual exercise prescriptions were calculated based on an exercise dose consistent with currently recommended public health guidelines. The exercise consisted of both supervised and home-based sessions. The 17-item Hamilton Rating Scale for Depression (HRSD17) and the Inventory of Depressive Symptomatology-Self-Report (IDS-SR30) were used to assess symptoms of depression on a weekly basis. Intent-to-treat analyses yielded significant decreases on both the HRSD17 (5.8 points, p < 0.008) and IDS-SR30 (13.9 points, p < 0.002). For patients who completed the study (n = 8), HRSD17 scores decreased by 10.4 points and IDS-SR30 scores decreased by 18.8 points. This study provides preliminary evidence for exercise as an effective augmentation treatment for antidepressant medication. This is a lower-cost augmentation strategy that has numerous health benefits and may further reduce depressive symptoms in partial responders to antidepressant treatment. Practical tips on how practitioners can use exercise to enhance antidepressant treatment are discussed. Longer-term use of exercise is also likely to confer additional health benefits for this population.

Adult↗

PubMed2006

The pattern of sensory processing abnormalities in autism.

The study was undertaken to evaluate the nature of sensory dysfunction in persons with autism. The cross-sectional study examined auditory, visual, oral, and touch sensory processing, as measured by the Sensory Profile, in 104 persons with a diagnosis of autism, 3-56 years of age, gender-and age-matched to community controls. Persons with autism had abnormal auditory, visual, touch, and oral sensory processing that was significantly different from controls. This finding was also apparent when the high and low thresholds of these modalities were examined separately. At later ages for the group with autism, lower levels of abnormal sensory processing were found, except for low threshold touch, which did not improve significantly. There was a significant interaction in low threshold auditory and low threshold visual, suggesting that the two groups change differently over time on these variables. These results suggest that sensory abnormalities in autism are global in nature (involving several modalities) but have the potential to improve with age.

Adolescent↗

PubMed2006

TREAD: TReatment with Exercise Augmentation for Depression: study rationale and design.

BACKGROUND: Despite recent advancements in the pharmacological treatment of major depressive disorder (MDD), over half of patients who receive treatment with antidepressant medication do not achieve full remission of symptoms. There is evidence that exercise can reduce depressive symptomatology when used as a treatment for MDD. However, no randomized controlled trials have evaluated exercise as an augmentation strategy for patients with carefully diagnosed MDD who remain symptomatic following an adequate acute phase trial of antidepressant therapy. PURPOSE: TReatment with Exercise Augmentation for Depression (TREAD) is an NIMH-funded, randomized, controlled trial designed to assess the relative efficacy of two doses of aerobic exercise to augment selective serotonin reuptake inhibitor (SSRI) treatment of MDD. METHODS: The TREAD study includes 12 weeks of acute phase treatment with a 12-week post-treatment follow-up. In addition to looking at change in depressive symptoms as a primary outcome, it also includes comprehensive assessment of psychosocial function and treatment adherence. RESULTS: This paper reviews the rationale and design of TREAD and illustrates how we address several key issues in contemporary patient-oriented research on MDD: 1) the use of augmentation strategies in the treatment of depressive disorders in general, 2) the use of non-pharmacological strategies in the treatment of depressive disorders, 3) the considerations of designing a well-controlled trial using two active treatment groups, and 4) the implementation of an adherence program for the use of exercise as a treatment strategy. CONCLUSIONS: 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.

Adolescent↗

PubMed2005

Symptom clusters as predictors of late response to antidepressant treatment.

OBJECTIVE: While there is some indication from studies in the acute phase of antidepressant treatment that there are differences in the timing of improvement in symptoms, relatively little work has explored the patterns of change for specific symptom clusters and the predictability of these changes to signal eventual response during the acute phase of treatment. This article investigates the use of clusters of symptoms on the 17-item Hamilton Rating Scale for Depression (HAM-D-17) to define the pattern of late response versus nonresponse to antidepressant medication. METHOD: Using principal component analysis, the HAM-D-17 was divided into 4 symptom clusters (mood, sleep/psychic anxiety, appetite, and somatic anxiety/weight). Data for 996 patients with major depressive disorder (DSM-III-R criteria), who participated in a 12-week acute phase study with nefazodone, were subjected to a post hoc analysis of changes in symptom cluster scores. Patients were divided into 3 groups: early responders (< 4 weeks), late responders (4-12 weeks), and nonresponders (> 12 weeks) as defined by < 50% reduction in HAM-D-17 scores from baseline. The late-responder and nonresponder groups were subjected to the principal component analysis. Data were collected from October 1992 to November 1994. RESULTS: There were significant differences in the pattern of symptom change on the mood cluster (weeks 3-4) (p < .0001), the sleep/psychic anxiety cluster (weeks 3-4) (p < .003), and the somatic anxiety/weight cluster (weeks 3-4) (p < .01) for the late responders compared to the nonresponders. Using change scores, a discriminant function analysis correctly assigned 127 of the 182 late responders and 85 of the 133 nonresponders, or 70% of the late responders and 64% of the nonresponders, to their final response groups. CONCLUSION: Monitoring changes in symptom clusters from the HAM-D-17 during this crucial early stage (first 4 weeks) can be used to distinguish late responders (after week 4) from nonresponders. Successful identification of nonresponders based on symptom cluster change in the first 4 weeks would facilitate a shortening of an ineffective treatment trial and allow for necessary changes in treatment strategy, helping physicians more closely follow treatment guidelines.

Adult↗

PubMed2004

Reductions in stress and depressive symptoms in mothers of substance-exposed infants, participating in a psychosocial program.

OBJECTIVE: Depression profoundly impairs psychosocial functioning. Depression can have disruptive effects on a person's family, with significant impact on the psychosocial development of the children. Recent research suggests that a mother's depressive symptoms may increase parenting stress and that parenting stress may, in turn, increase depressive symptoms, with a possible negative cycle to this process. Little is known about how these two factors interact in drug-involved mothers. This study examines how the NEW CONNECTIONS intervention (a parental education and support program for drug-involved parents) acts on parental stress and symptoms of depression. METHODS: The study site was the NEW CONNECTIONS Infant Intervention Program. The Beck Depression Inventory-II (BDI-II) and the Parenting Stress Index (PSI) were administered to drug- and alcohol-involved mothers (N = 120) at baseline and after the intervention (Week 12). RESULTS: Four of the seven PSI domains of parenting stress showed a significant reduction (Demandingness, Competence, Isolation, and Role Restriction). Changes in four domains were significantly correlated with reductions in depressive symptoms (Competence, Isolation, Attachment, and Role Restriction). There was a significant reduction in depressive symptoms as measured by the BDI-II. CONCLUSION: Reduction in some aspects of parenting stress is associated with reduction in depressive symptoms in mothers of substance-exposed infants who participated in the NEW CONNECTIONS psychosocial intervention targeting the parent-child relationship.

Adult↗

PubMed2004

A computerized clinical decision support system as a means of implementing depression guidelines.

The authors describe the history and current use of computerized systems for implementing treatment guidelines in general medicine as well as the development, testing, and early use of a computerized decision support system for depression treatment among "real-world" clinical settings in Texas. In 1999 health care experts from Europe and the United States met to confront the well-documented challenges of implementing treatment guidelines and to identify strategies for improvement. They suggested the integration of guidelines into computer systems that is incorporated into clinical workflow. Several studies have demonstrated improvements in physicians' adherence to guidelines when such guidelines are provided in a computerized format. Although computerized decision support systems are being used in many areas of medicine and have demonstrated improved patient outcomes, their use in psychiatric illness is limited. The authors designed and developed a computerized decision support system for the treatment of major depressive disorder by using evidence-based guidelines, transferring the knowledge gained from the Texas Medication Algorithm Project (TMAP). This computerized decision support system (CompTMAP) provides support in diagnosis, treatment, follow-up, and preventive care and can be incorporated into the clinical setting. CompTMAP has gone through extensive testing to ensure accuracy and reliability. Physician surveys have indicated a positive response to CompTMAP, although the sample was insufficient for statistical testing. CompTMAP is part of a new era of comprehensive computerized decision support systems that take advantage of advances in automation and provide more complete clinical support to physicians in clinical practice.

Algorithms↗