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.

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.

Patient accessibility and utilization of behavioral sleep medicine referrals in an academic center.

STUDY OBJECTIVES: Behavioral sleep medicine (BSM) is a subspecialty that combines behavioral psychology and sleep medicine specialties. The objective of this study was to analyze referral patterns to a BSM clinic. The 3 specific aims were: (1) describe factors that predict referral acceptance, (2) identify barriers to attending initial appointment, and (3) describe variables associated with the number of visits attended. METHODS: Retrospective chart reviews were conducted as part of a quality improvement project by this study team's clinical setting. Adults over 21 years of age who were referred to a BSM clinic in an urban Midwestern academic health care system between 2014 and 2019 were included in this study. RESULTS: Sleep medicine was the main referral source for patients with BSM (74.2%), followed by internal medicine (9.3%) and neurology/psychiatry (7.3%). Thirty-eight percent of patients did not schedule an appointment after a referral for BSM was initiated. Younger age, longer distance from clinic, commercial insurance, and out-of-network insurance were all significantly greater for nonschedulers. Eighty-three percent of patients did attend the initial intake session with BSM providers. Older age was associated with lower likelihood of not attending scheduled BSM appointments. CONCLUSIONS: Patient characteristics of older age, closer distance from clinic, and in-network insurance coverage were found to significantly increase the likelihood of BSM scheduling, while younger age, Black race and not getting a primary sleep disorder diagnosis (vs a diagnosis of insomnia disorder) and shorter days from referral to appointment were associated with an increased likelihood of not attending the scheduled BSM treatment engagement. CITATION: Chernyak Y, Ofner S, Williams MK, Bolarinwa C, Manchanda S, Otte JL. Patient accessibility and utilization of behavioral sleep medicine referrals in an academic center. J Clin Sleep Med. 2024;20(11):1793-1806.

A Bayesian analysis of mixture structural equation models with non-ignorable missing responses and covariates.

In behavioral, biomedical, and social-psychological sciences, it is common to encounter latent variables and heterogeneous data. Mixture structural equation models (SEMs) are very useful methods to analyze these kinds of data. Moreover, the presence of missing data, including both missing responses and missing covariates, is an important issue in practical research. However, limited work has been done on the analysis of mixture SEMs with non-ignorable missing responses and covariates. The main objective of this paper is to develop a Bayesian approach for analyzing mixture SEMs with an unknown number of components, in which a multinomial logit model is introduced to assess the influence of some covariates on the component probability. Results of our simulation study show that the Bayesian estimates obtained by the proposed method are accurate, and the model selection procedure via a modified DIC is useful in identifying the correct number of components and in selecting an appropriate missing mechanism in the proposed mixture SEMs. A real data set related to a longitudinal study of polydrug use is employed to illustrate the methodology.

Reactivity of measurement in health psychology: how much of a problem is it? What can be done about it?

PURPOSE: Measurement reactivity is defined as being present where measurement results in changes in the people being measured. The main aim of this review is to provide an overview of the current state of knowledge concerning the extent and nature of psychological measurement affecting people who complete the measures. Other aims are to describe how this may affect conclusions drawn in health psychology research and to outline where more research is needed. METHODS: Narrative review. RESULTS: Several studies, using a variety of methods, have found measurement procedures to alter subsequent cognition, emotion, and behaviour. In many instances, the effects obtained were of up to medium size. However, the extent to which such studies are representative is not clear: do other studies which find no reactive effects of measurement not exist or do they exist but are not reported? CONCLUSIONS: Although measurement reactivity can yield medium-sized effects, our understanding of this phenomenon is still rudimentary. We do not know the precise circumstances that are likely to result in measurement reactivity: we cannot predict when problems are more likely to arise. There is a particular absence of studies of the mechanisms by which measurement reactivity arises. There is a need for a systematic review of this literature, which should aim to quantify the extent of measurement reactivity effects and to provide a firmer evidence base for theorizing about the sources of reactivity.

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).

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.

Multivariable models in biobehavioral research.

OBJECTIVE: To review contemporary multivariable modeling and statistical reporting practices in psychosomatic and behavioral medicine research. METHODS: A random sample of 40 original research articles involving multivariable models was obtained from the 2005 volumes of four of the leading psychosomatic and behavioral medicine research journals. A random comparison sample was obtained from the 2005 volumes of four of the leading general medical and psychiatric journals. Multivariable modeling and reporting practices were systematically coded. The evaluation focused primarily on issues raised in 2004 Statistical Corner article by Babyak. RESULTS: Deficiencies were found in a large proportion of the articles published in psychosomatic and behavioral medicine journals. The single most common problem was a lack of clear information, or any information at all, about important aspects of the statistical methods. Other frequent problems included post hoc selection of variables, lack of clear rationales and well-specified roles for selected variables, inadequate information about models as a whole (e.g., goodness of fit), failure to test model assumptions, and lack of model validation. Overfitting of multivariable models was the exception rather than the rule, but still a significant problem. CONCLUSIONS: There is room for improvement in the use and reporting of multivariable models in psychosomatic and behavioral medicine research journals. These problems can be overcome by adopting best statistical practices, such as those recommended by Psychosomatic Medicine's statistical guidelines and by authoritative guidebooks on statistical reporting practices.

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).

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.

Health plans' disease management programs: extending across the medical and behavioral health spectrum?

Although the disease management industry has expanded rapidly, there is little nationally representative data regarding medical and behavioral health disease management programs at the health plan level. National estimates from a survey of private health plans indicate that 90% of health plan products offered disease management for general medical conditions such as diabetes but only 37% had depression programs. The frequency of specific depression disease management activities varied widely. Program adoption was significantly related to product type and behavioral health contracting. In health plans, disease management has penetrated more slowly into behavioral health and depression program characteristics are highly variable.

Factors impacting trauma treatment practice patterns: the convergence/divergence of science and practice.

OBJECTIVE: This study surveyed the practice patterns of behavioral health providers to determine the degree to which providers in this study utilized evidence-based approaches when dealing with traumatized individuals and the extent to which these practice methods vary as a result of population density or provider characteristics. METHOD: A survey instrument was designed specifically for this study. The Trauma Practices Questionnaire (TPQ) a 22-item trauma treatment practice utilization scale was mailed to all licensed or certified behavioral health providers in a southern state (N=5752). Responses of 1121 professionals who represent seven disciplines are reported. RESULTS: Gender and the acquisition of specialized trauma training impacted the way providers practice. Discipline-specific differences became statistically nonsignificant when controlling for gender. Several areas of guideline convergence were uncovered (e.g. the frequent use of CBT) as well as practices that were divergent from best practice recommendations, especially with regards to the use of psychopharmacological interventions. CONCLUSIONS: Results highlight issues related to translational research dissemination and training practices, as well as factors that might affect clinician's acceptance of and compliance with evidence-based practices.

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.

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.

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.

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).