Behavioral Health and Response for COVID-19.

Research from financial stress, disasters, pandemics, and other extreme events, suggests that behavioral health will suffer, including anxiety, depression, and posttraumatic stress symptoms. Furthermore, these symptoms are likely to exacerbate alcohol or drug use, especially for those vulnerable to relapse. The nature of coronavirus disease 2019 (COVID-19) and vast reach of the virus, leave many unknows for the repercussions on behavioral health, yet existing research suggests that behavioral health concerns should take a primary role in response to the pandemic. We propose a 4-step services system designed for implementation with a variety of different groups and reserves limited clinical services for the most extreme reactions. While we can expect symptoms to remit overtime, many will also have longer-term or more severe concerns. Behavioral health interventions will likely need to change overtime and different types of interventions should be considered for different target groups, such as for those who recover from COVID-19, health-care professionals, and essential personnel; and the general public either due to loss of loved ones or significant life disruption. The important thing is to have a systematic plan to support behavioral health and to engage citizens in prevention and doing their part in recovery by staying home and protecting others.

The Health and Readiness of Service Members: ACEs to PACEs.

INTRODUCTION: Over the past three decades, a growing research base has emerged around the role of adverse childhood experiences (ACEs) in the biological, psychological, social, and relational health and development of children and adults. More recently, the role of ACEs has been researched with military service members. The purpose of this article was to provide a brief description of ACEs and an overview of the key tenets of the theory of toxic stress as well as a snapshot of ACEs and protective and compensatory experiences (PACEs) research with active duty personnel. METHODS: Ninety-seven active duty personnel completed the study including questions pertaining to demographics, adverse childhood experiences, adult adverse experiences, and PACEs survey. RESULTS: Significant findings pertaining to ACEs and PACEs were found by service member's sex and rank, with higher ACE scores for men and enlisted service members. CONCLUSIONS: The contrast by rank and sex in relation to ACEs punctuates the need for attention to ACEs and protective factors among early career service members in order to promote sustainable careers in the military.

Preoperative Behavioral Health, Opioid, and Antidepressant Utilization and 2-year Costs After Spinal Fusion-Revelations From Cluster Analysis.

STUDY DESIGN: Retrospective administrative claims database analysis. OBJECTIVE: Identify distinct presurgery health care resource utilization (HCRU) patterns among posterior lumbar spinal fusion patients and quantify their association with postsurgery costs. SUMMARY OF BACKGROUND DATA: Presurgical HCRU may be predictive of postsurgical economic outcomes and help health care providers to identify patients who may benefit from innovation in care pathways and/or surgical approach. METHODS: Privately insured patients who received one- to two-level posterior lumbar spinal fusion between 2007 and 2016 were identified from a claims database. Agglomerative hierarchical clustering (HC), an unsupervised machine learning technique, was used to cluster patients by presurgery HCRU across 90 resource categories. A generalized linear model was used to compare 2-year postoperative costs across clusters controlling for age, levels fused, spinal diagnosis, posterolateral/interbody approach, and Elixhauser Comorbidity Index. RESULTS: Among 18,770 patients, 56.1% were female, mean age was 51.3, 79.4% had one-level fusion, and 89.6% had inpatient surgery. Three patient clusters were identified: Clust1 (n = 13,987 [74.5%]), Clust2 (n = 4270 [22.7%]), Clust3 (n = 513 [2.7%]). The largest between-cluster differences were found in mean days supplied for antidepressants (Clust1: 97.1 days, Clust2: 175.2 days, Clust3: 287.1 days), opioids (Clust1: 76.7 days, Clust2: 166.9 days, Clust3: 129.7 days), and anticonvulsants (Clust1: 35.1 days, Clust2: 67.8 days, Clust3: 98.7 days). For mean medical visits, the largest between-cluster differences were for behavioral health (Clust1: 0.14, Clust2: 0.88, Clust3: 16.3) and nonthoracolumbar office visits (Clust1: 7.8, Clust2: 13.4, Clust3: 13.8). Mean (95% confidence interval) adjusted 2-year all-cause postoperative costs were lower for Clust1 ($34,048 [$33,265-$34,84]) versus both Clust2 ($52,505 [$50,306-$54,800]) and Clust3 ($48,452 [$43,007-$54,790]), P < 0.0001. CONCLUSION: Distinct presurgery HCRU clusters were characterized by greater utilization of antidepressants, opioids, and behavioral health services and these clusters were associated with significantly higher 2-year postsurgical costs. LEVEL OF EVIDENCE: 3.

Burnout among behavioral health providers in integrated care settings.

INTRODUCTION: Burnout in health care, especially among physicians, is a growing concern. It is now well accepted that physician burnout leads to increased depersonalization of patients, lower personal accomplishment, employee turnover, and worse patient outcomes. What is not known, however, is to what extent behavioral health providers (BHPs) in medical settings experience burnout and its associated sequela. METHOD: Participants (n = 230) from a variety of practice settings and levels of integrated care completed practice and burnout questions via an online survey. Practice-related questions and a modified version of the Maslach Burnout Inventory was administered to BHPs who work in different levels of collaboration with other medical providers. RESULTS: Overall, BHPs who work primarily in fully integrated care settings reported higher rates of personal accomplishment in their everyday job (B = 1.49; 95% confidence interval [CI] = 0.40, 2.58). Additionally, those who have worked more than 10 years in these types of settings reported both higher personal accomplishment (B = 1.58; 95% CI = 0.68, 2.49) and lower rates of depersonalization (B = -1.32; 95% CI = -2.28, -0.36). DISCUSSION: In contrast to high rates of burnout among many clinicians in the United States, this is the first study to document relatively low rates of reported burnout among integrated care BHPs. The relationships between lower burnout, working in a fully integrated care practice, and experience as a BHP is important to understand when creating and sustaining team-based primary care jobs. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Feasibility and acceptability of an integrated behavioral medicine service within a post-bariatric surgery clinic.

BACKGROUND: Long-term medical and psychological follow-up after weight loss surgery is associated with improved patient outcomes. Weight regain after weight loss surgery is a common concern that has behavioral and psychological components; however, most patients do not attend behavioral medicine (BMED) follow-up appointments post-surgery. Innovative treatment models are needed to improve access to BMED to optimize long-term outcomes. OBJECTIVES: This study aimed to examine the feasibility and acceptability of an integrated BMED service within a bariatric surgery clinic. SETTING: University medical center, outpatient clinic. METHODS: Patients (n = 198) in a post-bariatric surgery clinic were screened for psychosocial/behavioral concerns and offered a same-day BMED consult, when appropriate. Patients rated their satisfaction with the consult and their confidence in being able to carry out the plan created during the consult. RESULTS: The top 3 concerns identified during screenings were emotional eating, body image, and cravings. The top 3 concerns addressed during consults were emotional eating, mood, and cravings. The mean length of consult was 26.1 minutes. The mean severity of problems addressed was 7 of 10. Patients' confidence ratings had a mean of 9.4 of 10 (1 = low, 10 = high) and satisfaction ratings had a mean of 9.8 of 10. CONCLUSIONS: In this clinic, the integration of a BMED service provided 40% of patients with behavioral intervention for psychosocial/behavioral concerns during routine surgery follow-up appointments. Patients indicated high satisfaction with consults and reported high confidence in being able to carry out the plan created during the consult.

Providing Behavioral Health Services in Nursing Homes Is Difficult: Findings From a National Survey.

OBJECTIVES: Behavioral health (BH) disorders affect 65% to 90% of nursing home (NH) residents. Access to BH services in NHs has been generally considered inadequate, but the empirical evidence is sparse. We examined the availability of BH services and identified facility-level factors associated with the difficulty of providing BH services in NHs. DESIGN: A national random sample of 3996 NHs was identified. Two structured surveys with questions about BH service availability, quality, satisfaction, staffing, staff education, turnover, and service barriers were mailed to administrators and directors of nursing in each NH between July and December 2017. SETTING/PARTICIPANTS: Completed surveys were obtained from 1079 NHs (27% response rate). Descriptive statistics and multivariable logistic regressions were employed. MEASUREMENTS: Four outcome measures were based on five-point Likert scales: (1) adequacy of BH staff education; (2) ability to meet resident BH service needs; (3) adequacy of coordination/collaboration between NH/community providers; and (4) availability of necessary facility infrastructure. RESULTS: BH service needs were unmet in one third of NHs; almost half lacked appropriate staff BH education. Over 30% reported having inadequate coordination of care between NH and community providers, and 26.2% had inadequate infrastructure for residents' referrals/transport. Staff BH education was less problematic in NHs with Alzheimer disease units (odds ratio [OR] = 0.6; P < .05), lower registered nurse (RN) turnover (OR = 0.7; P < .05), and more psychiatrically trained RNs (OR = 0.5; P < .001) and social workers (OR = 0.6; P < .05). Lower RN turnover (OR = 0.7; P < .05) and more psychiatrically trained RNs (OR = 0.6; P < .05) were associated with fewer NHs reporting being unable to meet BH service needs. Having more psychiatrically trained RNs (OR = 0.6; P < .05) was associated with fewer NHs reporting inadequate coordination with community providers. CONCLUSION: Inadequate BH education and psychiatric training among NH staff were associated with subpar provision of BH services in this care setting. New initiatives that increase access to BH providers and services and improve staff education are urgently needed in NHs. J Am Geriatr Soc 67:1713-1717, 2019.

The impact of behavioral health consultations on medical encounter duration in pediatric primary care: A retrospective match-controlled study.

INTRODUCTION: The disproportionate time required to effectively manage psychosocial concerns is a key barrier to advancing delivery of behavioral care by primary care providers. Improved time efficiency is one potential benefit of the integration of behavioral health consultants (BHCs) into pediatric care, but few studies have systematically studied this outcome. We examined the impact of embedded BHCs on duration of medical encounters in a pediatric primary care clinic. METHOD: We conducted a retrospective matched-pairs analysis of encounters involving behavioral consultations versus encounters for similar patients that did not include a consultation (N = 114) using electronic health record timestamp data. We examined both medical duration (i.e., medical provider services) and total duration (i.e., medical services + behavioral consultation). RESULTS: Patient encounters involving behavioral consultation had a significantly longer (+11.23 min) total duration than matched controls, but significantly shorter (-11.67 min) medical duration. DISCUSSION: The results indicate BHCs may improve primary care provider efficiency for patients with behavioral concerns, a notable finding given the impact of clinical time-constraints on important health care outcomes. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Behavioral Health of Gulf Coast Residents 6 Years After the Deepwater Horizon Oil Spill: The Role of Trauma History.

OBJECTIVE: The purpose of this study was to examine the associations between oil spill exposure, trauma history, and behavioral health 6 years after the Deepwater Horizon oil spill (DHOS). We hypothesized that prior trauma would exacerbate the relationship between oil spill exposure and behavioral health problems. METHODS: The sample included 2,520 randomly selected adults in coastal areas along the Gulf of Mexico. Participants reported their level of oil spill exposure, trauma history, depression, anxiety/worry, illness anxiety, and alcohol use. RESULTS: Individuals with more traumatic experiences had a significantly higher risk for all measured behavioral health problems after controlling for demographic factors and DHOS exposure. Those with higher levels of DHOS exposure were not at greater risk for behavioral health problems after controlling for prior trauma, with the exception of illness anxiety. There was no evidence that trauma history moderated the association between DHOS exposure and behavioral health. CONCLUSIONS: Findings suggest that trauma exposure may be a better indicator of long-term behavioral health risk than DHOS exposure among disaster-prone Gulf Coast residents. DHOS exposure may be a risk factor for illness anxiety but not more general behavioral health concerns. Trauma history did not appear to exacerbate risk for behavioral health problems among Gulf residents exposed to the DHOS. (Disaster Med Public Health Preparedness. 2019;13:497-503).

To go or not go: Patient preference in seeking specialty mental health versus behavioral consultation within the primary care behavioral health consultation model.

INTRODUCTION: Much of behavioral health care takes place within primary care settings rather than in specialty mental health settings. Access to specialty mental health care can be difficult due to limited access to mental health providers and wait times to receive mental health care. The purpose of this study is to determine patient satisfaction with behavioral health consultation visits that take place within the context of the primary care behavioral health consultation model. Patient likelihood to seek out specialty mental health care services if behavioral health consultation services were not provided was also examined. METHOD: Two primary care clinic systems were examined in this study. The first was a primary care clinic predominately serving low-income patients: 100 individuals participated. The second was primary care in the context of military treatment centers: 539 individuals participated. RESULTS: Results show that 61% of the patients in the low-income primary care clinic would not attend a specialty mental health appointment versus 30% in the military population. DISCUSSION: This study suggests that primary care behavioral health is a patient-centered approach to care and reaches populations that otherwise may not receive behavioral health services. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Application of the dyadic data analysis in behavioral medicine research: marital satisfaction and anxiety in infertile couples.

BACKGROUND: Dyadic data analysis (DDA) is increasingly being used to better understand, analyze and model intra- and inter-personal mechanisms of health in various types of dyads such as husband-wife, caregiver-patient, doctor-patient, and parent-child. A key strength of the DDA is its flexibility to take the nonindependence available in the dyads into account. In this article, we illustrate the value of using DDA to examine how anxiety is associated with marital satisfaction in infertile couples. METHODS: This cross-sectional study included 141 infertile couples from a referral infertility clinic in Tehran, Iran between February and May 2017. Anxiety and marital satisfaction were measured by the anxiety subscale of the Hospital Anxiety and Depression Scale and 10-Item ENRICH Marital Satisfaction Scale, respectively. We apply and compare tree different dyadic models to explore the effect of anxiety on marital satisfaction, including the Actor-Partner Interdependence Model (APIM), Mutual Influence Model (MIM), and Common Fate Model (CFM). RESULTS: This study demonstrated a practical application of the dyadic models. These dyadic models provide results that appear to give different interpretations of the data. The APIM analysis revealed that both men's and women's anxiety excreted an actor effect on their own marital satisfaction. In addition, women's anxiety exerted a significant partner effect on their husbands' marital satisfaction. In MIM analysis, in addition to significant actor effects of anxiety on marital satisfaction, women's reports of marital satisfaction significantly predicted men's marital satisfaction. The CFM analysis revealed that higher couple anxiety scores predicted lower couple marital satisfaction scores. CONCLUSION: In sum, the study highlights the usefulness of DDA to explore and test the phenomena with inherently dyadic nature. With regard to our empirical data, the findings confirmed that marital satisfaction was influenced by anxiety in infertile couples at both individual and dyadic level; thus, interventions to improve marital satisfaction should include both men and women. In addition, future studies should consider using DDA when dyadic data are available.

Return to Duty Practices of Army Behavioral Health Providers in Garrison.

Introduction: While combat readiness is a top priority for the U.S. Army, there is concern that behavioral health (BH) return to duty (RTD) practices may under-represent the number of soldiers available for deployment. Profiling, the official administrative process by which medical duty limitations are communicated to commanders, was recently found to be significantly under-reporting BH readiness levels in one Army Division. This is a safety issue in addition to a readiness problem, and underscores the importance of better understanding RTD practices in order to offer solutions. This study sought to categorize the information and tools used by Army BH providers in garrison to make decisions about duty limitations that can affect BH readiness. Materials and Methods: A qualitative approach was used for this study. Fourteen semi-structured interviews and three focus groups were conducted with a diverse convenience sample of Army BH providers in October 2015, resulting in input from 29 practitioners. Results: Through thematic analysis, it was discovered that profile decisions are driven first by safety of the soldier and secondarily by the needs of the unit. To facilitate their clinical decision-making, providers consider an array of data including standardized scales, unit mission, consultation with unit leadership, meetings with other providers, and, when appropriate, discussion with the friends and family of the soldier. Conclusions: If the military is to address the concern of under-reporting behavioral health readiness levels in garrison, it is critical to develop more predictability in treatment planning and reporting, as well as access to necessary data to make these clinical decisions. The interviews and focus groups revealed that while the technical process for initiating a profile does not vary, there is great disparity about the amount and type of information that is taken into consideration when making profile decisions. Categorization of the information that supports RTD decisions can lead to a better understanding of the process and inform leadership about ways to improve the accuracy of BH readiness reporting.

Videoconferenced Telebehavioral Health Referral Process Adherence.

Background: In 2015, the Army mandated 100% digital storage of telehealth consent forms (DA4700) in the Health Artifact and Image Management Solution (HAIMS) system, and a telebehavioral health (TBH) hub clinic set an aim to accomplish this by improving adherence to referral procedures essential to expanding patient access to videoconferenced (VC) behavioral health care. Methods: The Knowledge-to-Action (KTA) planned action framework underpinned development of a two-phase, PDSA (Plan-Do-Study-Act) quality improvement project to increase the rates of TBH new intake consent form completeness and upload adherence. First, a provider education initiative addressed form uploads. Second, TBH consultants prepared (signed and sent) intake forms to referring sites for their patients to finalize during the initial VC encounter. A chart review of consecutive new intake encounters compared data extracted from CY2015 Q1 baseline records (n = 65) with data from CY2016 Q1 improvement period records (n = 40). A total of 352 forms were reviewed. Results: Referrals (N = 118) that resulted in kept new VC TBH intake visits (n = 105), originated from three military behavioral health clinic referral sites. In CY2016 Q1, all DA4700 consent forms were uploaded to HAIMS. Telehealth treatment and medication consent form upload adherence increased from 94% and 68%, respectively, to 100% (p > 0.05). Form completeness increased from 36% to 95% (p < 0.001), and multiple linear regression analysis predicted an average 59% increase across the three referral sites (sr2 = 0.54). Conclusion: Consultant preparation of telehealth new intake consent forms effectively improved form completeness and increased adherence to new intake referral processes essential to this hub clinic expanding patient access to TBH care.

Patient and System Characteristics Associated with Performance on the HEDIS Measures of Alcohol and Other Drug Treatment Initiation and Engagement.

OBJECTIVES: Understand patient and system characteristics associated with performance on the Healthcare Effectiveness Data and Information Set (HEDIS) Alcohol and Other Drug (AOD) Initiation and Engagement of Treatment (IET) measures. METHODS: This mixed-methods study linked patient and health system data from four Kaiser Permanente regions to HEDIS performance measure data for 44,320 commercially or Medicare-insured adults with HEDIS-eligible AOD diagnoses in 2012. Characteristics associated with IET were examined using multilevel logistic regression models. Key informant interviews (n = 18) focused on opportunities to improve initiation and engagement. RESULTS: Non-white race/ethnicity, alcohol abuse, or nonopioid drug abuse diagnoses were associated with lower odds of treatment initiation among commercially insured. For both insurance groups, those diagnosed in healthcare departments other than specialty AOD treatment were less likely to initiate or engage in treatment. Being diagnosed in facilities with co-located AOD/primary care clinics, and those with medications for addiction treatment available, was each associated with higher odds of initiation and engagement for both commercially and Medicare-insured. Having behavioral medicine specialists or clinical health educators in primary care increased initiation and engagement odds among commercially insured. Key informants recommended were as follows: patient-centered care; increased treatment choices; cross-departmental patient identification, engagement, and coordination; provider education; and use of informatics/technology. CONCLUSIONS: Tailoring treatment, enhancing treatment motivation among individuals with lower severity diagnoses, offering medication treatment of addiction, clinician education, care coordination, co-located AOD and primary care departments, and behavioral medicine specialists in primary care may improve rates of initiation and engagement in AOD treatment.

Access to Behavioral Health Care Services in New Jersey.

Patients with health insurance may find that obtaining an initial appointment for behavioral healthcare is an arduous process. A stratified sample of licensed New Jersey psychiatrists and psychologists was surveyed by telephone. Results revealed that patient access to care under 10 large insurance plans in New Jersey varies by plan, but overall was difficult. Suggestions for dealing with the problem are offered. Behavioral health practitioners and their professional organizations should address these issues more directly and vigorously.

Exploring the Prevalence of Adverse Childhood Experiences in Soldiers Seeking Behavioral Health Care During a Combat Deployment.

This exploratory study examines the prevalence of adverse childhood experiences (ACEs) in soldiers who sought behavioral health support during a combat deployment. We conducted a secondary analysis of data extracted from two studies on the basis of retrospective reviews of behavioral health records of soldiers deployed to Iraq or Afghanistan. Of 162 clinical samples, 135 (83%) reported at least one type of childhood adversity. ACE scores ranged from 0 to 9 with a mean of 3 (standard deviation = 2.4) and mode of 0. A total of 65 (40%) experienced four or more ACEs. Parental divorce or separation was the most frequently reported childhood experience and was associated with witnessing domestic violence, having a member of the household abuse substances, and being physically and psychologically abused as a child. A sizeable proportion lived with a household member who had been in prison. Soldiers with an extensive history of ACEs may benefit from additional mentoring from frontline leaders and prevention measures instituted by unit behavioral health personnel.

Where are the Behavioral Sleep Medicine Providers and Where are They Needed? A Geographic Assessment.

Although it is widely acknowledged that there are not enough clinicians trained in either Behavioral Sleep Medicine (BSM) in general or in Cognitive Behavioral Therapy for Insomnia (CBT-I) in specific, what is unclear is whether this problem is more acute in some regions relative to others. Accordingly, a geographic approach was taken to assess this issue. Using national directories as well as e-mail listservs (Behavioral Sleep Medicine group and Behavioral Treatment for Insomnia Roster), the present study evaluated geographic patterning of CBSM and BSM providers by city, state, and country. Overall, 88% of 752 BSM providers worldwide live in the United States (n = 659). Of these, 58% reside in 12 states with ≥ 20 providers (CA, NY, PA, IL, MA, TX, FL, OH, MI, MN, WA, and CO), and 19% reside in just 2 states (NY and CA). There were 4 states with no BSM providers (NH, HI, SD, and WY). Of the 167 U.S. cities with a population of > 150,000, 105 cities have no BSM providers. These results clearly suggest that a targeted effort is needed to train individuals in both the unserved and underserved areas.

Statistical models for multilevel skewed physical activity data in health research and behavioral medicine.

OBJECTIVE: Researchers who study physical activity often use outcome variables that have a lower bound of zero and are positively skewed (e.g., minutes of physical activity in a day). Researchers also often use statistical methods that assume the outcome is normally distributed or transform the outcome as an attempt to make it more normal, both of which can be problematic. In this article, the authors describe multilevel 2-part models that use a mixture of logistic regression-to predict whether a person was active-and gamma regression-to predict amount of activity if there was activity. METHOD: The authors contrast the 2-part models to a linear multilevel model using data from a longitudinal study of physical activity (N = 113; 2,305 observations). The dependent variable was minutes of moderate-to-vigorous activity in a day and the predictor variables were day, satisfaction, and gender. RESULTS: The 2-part models outperform the linear model and provide researchers critical information that is conceptually relevant, such as distinguishing between predictors of whether activity occurred and of how much activity occurred. CONCLUSIONS: Two-part models represent a flexible and useful addition to the analysis repertoire of health researchers. To assist researchers in learning these methods, the online supplemental materials provide additional technical information as well as annotated computer code for estimating these models. (PsycINFO Database Record

Mental health, substance abuse, and health behavior services in patient-centered medical homes.

PURPOSE: The purpose of this study was to understand mental health, substance use, and health behavior activities within primary care practices recognized by the National Committee for Quality Assurance as patient-centered medical homes (PCMHs). METHODS: We identified 447 practices with all levels of National Committee for Quality Assurance PCMH recognition as of March 1, 2010. We selected the largest practice from multisite groups, and 238 practices were contacted. We received 123 responses, for a 52% response rate. A 40-item web-based survey was collected. RESULTS: Of PCMH practices, 42% have a behavioral health clinician on site; social workers were the most frequent category of provider delivering behavioral services. There are also were care managers-distinct from behavioral health clinician-at 62% of practices. Surveyed practices were less likely to have procedures for referrals, communication, and patient scheduling for responding to mental health and substance use services than for other medical subspecialties (50% compared with 73% for cardiology and 69% for endocrinology). More than half of practices (62%) reported using electronic, standardized depression screening and monitoring; practices were less likely to screen for substance use than mental health. Among the practices, 54% used evidence-based health behavior protocols for mental health and substance use conditions. Practices reported that lack of reimbursement, time, and sufficient knowledge were obstacles. Practices serving a higher proportion of low-income patients performed more mental health organizational and clinical activities. CONCLUSIONS: In PCMHs, practice organization and response to behavioral issues seem to be less well developed than other types of medical care. These results support further efforts to develop whole-person care in the PCMH, with greater emphasis on access to and coordination of mental health, substance abuse, and health behavior services. Focusing primary care practices on this aspect of whole-person care will benefit from program sponsors' support and rewarding better integration with behavioral health.