Role of Mediators in Reducing Antepartum Depressive Symptoms in Rural Low-Income Women Receiving a Culturally Tailored Cognitive Behavioral Intervention

Although cognitive behavioral interventions (CBIs) have demonstrated effectiveness for reducing depressive symptoms in the general population, the mechanism for reducing antepartum depressive symptoms (APDS) in rural low-income and minority women is unknown. This study tested the hypothesis that reducing stress and negative thinking, enhancing self-esteem, and increasing social-support will mediate the effect of a CBI on reducing APDS in rural low-income and minority women. Our findings show that CBI may work through reducing stress and negative thinking and enhancing self-esteem, but not social support. The findings also suggest that mental health care providers should emphasize these activities to reduce antepartum depressive symptoms

Performance of a Culturally Tailored Cognitive-Behavioral Intervention Integrated in a Public Health Setting to Reduce Risk of Antepartum Depression: A Randomized Controlled Trial

Cognitive behavioral group interventions have been shown to improve depressive symptoms in adult populations. This article details the feasibility and efficacy of a 6-week culturally tailored cognitive behavioral intervention offered to rural, minority, low-income women at risk for antepartum depression

Balancing Contamination and Referral Bias in a Randomized Clinical Trial: An Application of Pseudo-Cluster Randomization

In randomized trials of provider-focused clinical interventions, treatment allocation often cannot be blinded to participants, study staff, or providers. The choice of unit of randomization (patient, provider, or clinic) entails tradeoffs in cost, power, and bias. Provider- or clinic-level randomization can minimize contamination, but it incurs the equally problematic potential for referral bias; that is, because arm assignment of future participants generally cannot be concealed, differences between arms may arise in the types of patients enrolled. Pseudo-cluster randomization is a novel study design that balances these competing validity threats. Providers are randomly assigned to an imbalanced proportion of intervention-arm participants (e.g., 80% or 20%). Providers can be masked to the imbalance, avoiding referral bias. Contamination is reduced because only a minority of control-arm participants are treated by majority-intervention providers. Pseudo-cluster randomization was implemented in a randomized trial of a decision support intervention to manage depression among patients receiving human immunodeficiency virus care in the southern United States in 2010–2014. The design appears successful in avoiding referral bias (participants were comparable between arms on important characteristics) and contamination (key depression treatment indicators were comparable between usual care participants managed by majority-intervention and majority-usual care providers and were markedly different compared with intervention participants)

The effect of antidepressant treatment on HIV and depression outcomes: results from a randomized trial

Depression is a major barrier to HIV treatment outcomes

Endemic Acinetobacter baumannii in a New York Hospital

Acinetobacter baumannii is an increasingly multidrug-resistant (MDR) cause of hospital-acquired infections, often associated with limited therapeutic options. We investigated A. baumannii isolates at a New York hospital to characterize genetic relatedness.Thirty A. baumannii isolates from geographically-dispersed nursing units within the hospital were studied. Isolate relatedness was assessed by repetitive sequence polymerase chain reaction (rep-PCR). The presence and characteristics of integrons were assessed by PCR. Metabolomic profiles of a subset of a prevalent strain isolates and sporadic isolates were characterized and compared.We detected a hospital-wide group of closely related carbapenem resistant MDR A. baumannii isolates. Compared with sporadic isolates, the prevalent strain isolates were more likely to be MDR (p = 0.001). Isolates from the prevalent strain carried a novel Class I integron sequence. Metabolomic profiles of selected prevalent strain isolates and sporadic isolates were similar.The A. baumannii population at our hospital represents a prevalent strain of related MDR isolates that contain a novel integron cassette. Prevalent strain and sporadic isolates did not segregate by metabolomic profiles. Further study of environmental, host, and bacterial factors associated with the persistence of prevalent endemic A. baumannii strains is needed to develop effective prevention strategies

The AURORA Study: A Longitudinal, Multimodal Library of Brain Biology and Function after Traumatic Stress Exposure

Adverse posttraumatic neuropsychiatric sequelae (APNS) are common among civilian trauma survivors and military veterans. These APNS, as traditionally classified, include posttraumatic stress, postconcussion syndrome, depression, and regional or widespread pain. Traditional classifications have come to hamper scientific progress because they artificially fragment APNS into siloed, syndromic diagnoses unmoored to discrete components of brain functioning and studied in isolation. These limitations in classification and ontology slow the discovery of pathophysiologic mechanisms, biobehavioral markers, risk prediction tools, and preventive/treatment interventions. Progress in overcoming these limitations has been challenging because such progress would require studies that both evaluate a broad spectrum of posttraumatic sequelae (to overcome fragmentation) and also perform in-depth biobehavioral evaluation (to index sequelae to domains of brain function). This article summarizes the methods of the Advancing Understanding of RecOvery afteR traumA (AURORA) Study. AURORA conducts a large-scale (n = 5000 target sample) in-depth assessment of APNS development using a state-of-the-art battery of self-report, neurocognitive, physiologic, digital phenotyping, psychophysical, neuroimaging, and genomic assessments, beginning in the early aftermath of trauma and continuing for 1 year. The goals of AURORA are to achieve improved phenotypes, prediction tools, and understanding of molecular mechanisms to inform the future development and testing of preventive and treatment interventions

The Urban Criminal Justice System: Where Young + Black + Male = Probable Cause

We live in a country where one out of four young African-American men is under some form of custodial supervision. In our nation\u27s capital, seven out of ten African-American men can anticipate being arrested and jailed at least once before reaching the age of thirty-five. We live in a city where a black man between the ages of fifteen and twenty-four is far more likely to die of homicide than all other causes combined. The official response to the problem of urban crime by minority youth has been prison, prison, and more prison. This essay provides an overview and examples of this issue and recommends approaches that might represent an improvement over current policies and laws

Role of Mediators in Reducing Antepartum Depressive Symptoms in Rural Low-Income Women Receiving a Culturally Tailored Cognitive Behavioral Intervention

Although cognitive behavioral interventions (CBIs) have demonstrated effectiveness for reducing depressive symptoms in the general population, the mechanism for reducing antepartum depressive symptoms (APDS) in rural low-income and minority women is unknown. This study tested the hypothesis that reducing stress and negative thinking, enhancing self-esteem, and increasing social-support will mediate the effect of a CBI on reducing APDS in rural low-income and minority women. Our findings show that CBI may work through reducing stress and negative thinking and enhancing self-esteem, but not social support. The findings also suggest that mental health care providers should emphasize these activities to reduce antepartum depressive symptoms

Balancing Contamination and Referral Bias in a Randomized Clinical Trial: An Application of Pseudo-Cluster Randomization

In randomized trials of provider-focused clinical interventions, treatment allocation often cannot be blinded to participants, study staff, or providers. The choice of unit of randomization (patient, provider, or clinic) entails tradeoffs in cost, power, and bias. Provider- or clinic-level randomization can minimize contamination, but it incurs the equally problematic potential for referral bias; that is, because arm assignment of future participants generally cannot be concealed, differences between arms may arise in the types of patients enrolled. Pseudo-cluster randomization is a novel study design that balances these competing validity threats. Providers are randomly assigned to an imbalanced proportion of intervention-arm participants (e.g., 80% or 20%). Providers can be masked to the imbalance, avoiding referral bias. Contamination is reduced because only a minority of control-arm participants are treated by majority-intervention providers. Pseudo-cluster randomization was implemented in a randomized trial of a decision support intervention to manage depression among patients receiving human immunodeficiency virus care in the southern United States in 2010–2014. The design appears successful in avoiding referral bias (participants were comparable between arms on important characteristics) and contamination (key depression treatment indicators were comparable between usual care participants managed by majority-intervention and majority-usual care providers and were markedly different compared with intervention participants)

Pregnancy and Mental Health Among Women Veterans Returning from Iraq and Afghanistan

BACKGROUND: Veterans of Operations Enduring Freedom and Iraqi Freedom (OEF/OIF) may experience significant stress during military service that can have lingering effects. Little is known about mental health problems or treatment among pregnant OEF/OIF women veterans. The aim of this study was to determine the prevalence of mental health problems among veterans who received pregnancy-related care in the Veterans Health Administration (VHA) system. METHODS: Data from the Defense Manpower Data Center (DMDC) deployment roster of military discharges from October 1, 2001, through April 30, 2008, were used to assemble an administrative cohort of female OEF/OIF veterans enrolled in care at the VHA (n = 43,078). Pregnancy and mental health conditions were quantified according to ICD-9-CM codes and specifications. Mental healthcare use and prenatal care were assessed by analyzing VHA stop codes. RESULTS: During the study period, 2966 (7%) women received at least one episode of pregnancy-related care, and 32% of veterans with a pregnancy and 21% without a pregnancy received one or more mental health diagnoses (p \u3c 0.0001). Veterans with a pregnancy were twice as likely to have a diagnosis of depression, anxiety, posttraumatic stress disorder (PTSD), bipolar disorder, or schizophrenia as those without a pregnancy. CONCLUSIONS: Women OEF/OIF veterans commonly experience mental health problems after military service. The burden of mental health conditions is higher among women with an identified instance of pregnancy than among those without. Because women do not receive pregnancy care at the VHA, however, little is known about ongoing concomitant prenatal and mental healthcare or about pregnancy outcomes among these women veterans