The impact of nonclinical factors on care use for patients with depression: a STAR*D report

Role of Leadership in Narrowing the Gap between Science and Practice: Improving Treatment Outcomes at the Systems Level

It's been well documented that health care does not reliably transfer what we know from science into clinical practice. As a result, Americans do not always receive the care suggested by the scientific evidence. Despite the best intentions of a dedicated and skilled healthcare workforce, this can often lead to poor clinical outcomes. As research and technology rapidly advance, this gap between science and practice appears to be widening. There is an increasing public concern about a lack of access to appropriate treatment, pervasiveness of unsafe practices, and wasteful uses of precious health care resources leading to suboptimum treatment outcomes. Leadership has a critical role in creating and sustaining the environment that supports health services for individuals and populations that increase the likelihood of desired health outcomes and are consistent with current professional knowledge. Leadership has some responsibility to improve outcomes by insuring effective use of evidence-based treatment guidelines; measurement-based care; knowledge and skills management; care coordination; and information technologies. This paper addresses leadership issues in these components of a system's ability to improve treatment outcomes.

Comprehensive review of factors implicated in the heterogeneity of response in depression

BACKGROUND

Heterogeneity in overall response and outcomes to pharmacological treatment has been reported in several depression studies but with few sources that integrate these results. The goal of this study was to review the literature and attempt to identify nongenetic factors potentially predictive of overall response to depression treatments.

METHODS

A comprehensive review of the literature from the last 10 years was performed using three key databases (PubMed, EMBASE, and Cochrane). All relevant studies that met the inclusion criteria were selected and scored for their levels of evidence using the NICE scoring method. A subjective assessment of the strength of evidence for each factor was performed using predefined criteria.

RESULTS

Our broad search yielded 76 articles relevant to treatment heterogeneity. Sociodemographic factors, disease characteristics, and comorbidities were the most heavily researched areas. Some of the factors associated with more favorable overall response include being married, other social support, and low levels of baseline depressive symptoms. Evidence relating to baseline disease severity as a factor predictive of antidepressant response was particularly convincing among the factors reviewed. The presence of comorbid anxiety and pain contributed to worse antidepressant treatment outcomes.

CONCLUSIONS

Several factors either predictive of or associated with overall response to antidepressant treatment have been identified. Inclusion of factors predictive of response in the design of future trials may help tailor treatments to depression patients presenting to the average clinical practice, resulting in improved outcomes.

Is coronary computed tomography angiography a resource sparing strategy in the risk stratification and evaluation of acute chest pain? Results of a randomized controlled trial

OBJECTIVES

Annually, almost 6 million U.S. citizens are evaluated for acute chest pain syndromes (ACPSs), and billions of dollars in resources are utilized. A large part of the resource utilization results from precautionary hospitalizations that occur because care providers are unable to exclude the presence of coronary artery disease (CAD) as the underlying cause of ACPSs. The purpose of this study was to examine whether the addition of coronary computerized tomography angiography (CCTA) to the concurrent standard care (SC) during an index emergency department (ED) visit could lower resource utilization when evaluating for the presence of CAD.

METHODS

Sixty participants were assigned randomly to SC or SC + CCTA groups. Participants were interviewed at the index ED visit and at 90 days. Data collected included demographics, perceptions of the value of accessing health care, and clinical outcomes. Resource utilization included services received from both the primary in-network and the primary out-of-network providers. The prospectively defined primary endpoint was the total amount of resources utilized over a 90-day follow-up period when adding CCTA to the SC risk stratification in ACPSs.

RESULTS

The mean (± standard deviation [SD]) for total resources utilized at 90 days for in-network plus out-of-network services was less for the participants in the SC + CCTA group ($10,134; SD ±$14,239) versus the SC-only group ($16,579; SD ±$19,148; p = 0.144), as was the median for the SC + CCTA ($4,288) versus SC only ($12,148; p = 0.652; median difference = -$1,291; 95% confidence interval [CI] = -$12,219 to $1,100; p = 0.652). Among the 60 total study patients, only 19 had an established diagnosis of CAD at 90 days. However, 18 (95%) of these diagnosed participants were in the SC + CCTA group. In addition, there were fewer hospital readmissions in the SC + CCTA group (6 of 30 [20%] vs. 16 of 30 [53%]; difference in proportions = -33%; 95% CI = -56% to -10%; p = 0.007).

CONCLUSIONS

Adding CCTA to the current ED risk stratification of ACPSs resulted in no difference in the quantity of resources utilized, but an increased diagnosis of CAD, and significantly less recidivism and rehospitalization over a 90-day follow-up period.

Multimorbidity and depression treatment

OBJECTIVES

We compare treatment for depression among individuals with multiple chronic physical conditions to those with single chronic physical condition, after controlling for demographic, socioeconomic, access to care and the number of outpatient visits.

METHODS

Using a cross-sectional study design, we analyzed data on 1,376 adults age above 21 years, with depression and at least one chronic physical condition in the following clusters: cardiometabolic (diabetes or heart disease or hypertension), respiratory (chronic obstructive pulmonary disease or asthma) and musculoskeletal (arthritis or osteoporosis) from the 2007 Medical Expenditure Panel Survey for depression treatment.

RESULTS

Overall, 56.2% used antidepressants, 21.4% had psychotherapy and 22.5% reported no depression treatment. After adjusting for factors, there were no statistically significant differences in the likelihood of type of depression treatment.

CONCLUSION

Individuals with multiple conditions are as likely as those with single condition to report treatment for depression perhaps due to increased contact with the health care system. Our findings suggest that competing demands due to multiple chronic conditions may not affect depression treatment.

Mental Health Treatment Involvement and Religious Coping among African American, Hispanic, and White Veterans of the Wars of Iraq and Afghanistan

Although racial/ethnic differences have been found in the use of mental health services for depression in the general population, research among Veterans has produced mixed results. This study examined racial/ethnic differences in the use of mental health services among 148 Operation Enduring/Iraqi Freedom (OEF/OIF) Veterans with high levels of depression and posttraumatic stress disorder (PTSD) symptoms and evaluated whether religious coping affected service use. No differences between African American, Hispanic, and Non-Hispanic white Veterans were found in use of secular mental health services or religious counseling. Women Veterans were more likely than men to seek secular treatment. After controlling for PTSD symptoms, depression symptom level was a significant predictor of psychotherapy attendance but not medication treatment. African American Veterans reported higher levels of religious coping than whites. Religious coping was associated with participation in religious counseling, but not secular mental health services.

Measuring progressive independence with the resident supervision index: theoretical approach

BACKGROUND

Graduate medical education is based on an on-the-job training model in which residents provide clinical care under supervision. The traditional method is to offer residents graduated levels of responsibility that will prepare them for independent practice. However, if progressive independence from supervision exceeds residents' progressive professional development, patient outcomes may be at risk. Leaders in graduate medical education have called for "optimal" supervision, yet few studies have conceptually defined what optimal supervision means and whether optimal care is theoretically compatible with progressive independence, nor have they developed a test for progressive independence.

OBJECTIVE

This research develops theory and analytic models as part of the Resident Supervision Index to quantify the intensity of supervision.

METHODS

We introduce an explicit set of assumptions for an ideal patient-centered theory of optimal supervision of resident-provided care. A critical assumption is that informed attending staff will use available resources to optimize patient outcomes first and foremost, with residents gaining clinical competencies by contributing to optimal care. Next, we derive mathematically the consequences of these assumptions as theoretical results.

RESULTS

Under optimal supervision, (1) patient outcome is expected to be no worse than if residents were not involved, (2) supervisors will avoid undersupervising residents (when patients are at increased risk for poor outcomes) or oversupervising residents (when residents miss clinical opportunities to practice care), (3) optimal patient outcomes will be compatible with progressive independence, (4) progressive development can be inferred from progressive independence whenever residents contribute to patient care, and (5) analytic models that test for progressive independence will emphasize adjusting the association between length of graduate medical education training and supervision for case complexity and clinic workload, but not patient health outcomes.

CONCLUSION

An explicit theoretical framework is critical to measure scientifically progressive independence from supervision using graduate medical education data.

Measuring progressive independence with the resident supervision index: empirical approach

BACKGROUND

A Resident Supervision Index (RSI) developed by our research team quantifies the intensity of resident supervision in graduate medical education, with the goal of testing for progressive independence. The 4-part RSI method includes a survey instrument for staff and residents (RSI Inventory), a strategy to score survey responses, a theoretical framework (patient centered optimal supervision), and a statistical model that accounts for the presence or absence of supervision and the intensity of patient care.

METHODS

The RSI Inventory data came from 140 outpatient encounters involving 57 residents and 37 attending physicians during a 3-month period at a Department of Veterans Affairs outpatient clinic. Responses are scored to quantitatively measure the intensity of resident supervision across 10 levels of patient services (staff is absent, is present, participated, or provided care with or without a resident), case discussion (resident-staff interaction), and oversight (staff reviewed case, reviewed medical chart, consulted with staff, or assessed patient). Scores are analyzed by level and for patient care using a 2-part model (supervision initiated [yes or no] versus intensity once supervision was initiated).

RESULTS

All resident encounters had patient care supervision, resident oversight, or both. Consistent with the progressive independence hypothesis, residents were 1.72 (P  =  .019) times more likely to be fully responsible for patient care with each additional postgraduate year. Decreasing case complexity, increasing clinic workload, and advanced nonmedical degrees among attending staff were negatively associated with supervision intensity, although associations varied by supervision level.

CONCLUSIONS

These data are consistent with the progressive independence hypothesis in graduate medical education and offer empirical support for the 4-part RSI method to quantify the intensity of resident supervision for research, program evaluation, and resident assessment purposes. Before informing policy, however, more scientific research in actual teaching settings is needed to better understand the relationships among patient outcomes, clinic workload, case complexity, and graduate medical education experience in resident supervision and professional development.

Release bias in accessing medical records in clinical trials: a STAR*D report

Clinical trials often require subjects to sign medical record releases to allow investigators to measure treatment fidelity, off-protocol care use, and care costs. Little is known, however, if limiting samples to those willing to sign releases impacts external validity. Data came from outpatients with non-psychotic major depressive disorder who enrolled in the multisite Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study. Differences between those who signed (n = 3116) and who did not sign (n = 925) releases were assessed using logistic regression and two-part, three-level log-transformed regression models, corrected for site clustering and repeated measures. Patients who released records tended to believe care was helpful, were younger, and married. However, release status had little material or consistent associations with patient health outcomes or use of care. With appropriate adjustments to data, requiring patient medical records may pose only minimal challenges to external validity in cost-outcome studies.