Jennifer S. Funderburk

The description and evaluation of the implementation of an integrated healthcare model.

Two studies were conducted to examine the practical implementation of an integrated health care model in five primary care clinics in the Upstate New York Veterans Affairs (VA) system. The aims of the studies were: (a) to describe the basic clinical elements of the integrated health care service offered by behavioral health providers (BHPs) in the primary care setting, and (b) to evaluate the perceptions of providers and patients regarding integrated health care practices in their primary care clinics. In Study 1, we reviewed 180 electronic medical records of patients who met with a BHP in primary care. In Study 2, we used semistructured interviews and self-report questionnaires to collect information from 46 primary care providers, 12 BHPs, and 140 patients regarding their perceptions of integrated health care in their primary care clinics. Both studies illustrate a useful method for evaluating the practical implementation of integrated health care models.

Substance use disorders increase the odds of subsequent mood disorders

BACKGROUND There is a well-known association between mood disorders and substance use disorders (SUD), but little research has been conducted on SUDs as risk factors for the development of subsequent mood disorders. METHODS We analyzed data from the National Comorbidity Survey Replication study. Diagnoses were determined using DSM-IV criteria. Odds ratios (aORs) of subsequently developing mood disorders were adjusted for age, sex and race/ethnicity. RESULTS Data from 5217 individuals were included (6.6% male; mean age 45.3 years; 72.6% White, 11.2% Black, 12.5% Hispanic and 3.7% other). Subsequent mood disorders developed in 26.4% of individuals with primary adolescent-onset SUD (12-17 years), 21.7% of those with SUD onset at 18-25 years, and 14.0% of those with SUD onset between the ages of 26 and 34 years. The mean lagtime between SUD onset and development of a mood disorder was about 11 years. Controlling for demographic variables, the aORs of developing a mood disorder in these three age groups were 2.44, 3.65, and 3.25. Substance dependence was associated with higher odds of mood disorders than was abuse. Among the specific mood disorders, the increased odds of developing bipolar disorder were particularly high among individuals with drug dependence. CONCLUSIONS Individuals with adolescent and young adult-onset SUD had increased odds of developing a secondary mood disorder. This indicates that adolescents and young adults with SUD should be closely monitored for both positive and negative mood symptoms. SUD treatment and aftercare offer opportunities for the early identification of secondary mood disorders.

A Pilot Study of Posttraumatic Stress and Associated Functioning of Army National Guard Following Exposure to Iraq Warzone Trauma

This study examines the experiences of a convenience sample of Army National Guard soldiers who were combat exposed during the Iraq War. Thirty-one men volunteered to complete an interview and ques...

Integrating behavioral health services into a university health center: patient and provider satisfaction.

The goals of this study were to (a) describe an Integrated Behavioral Health Care (IBHC) program within a university health center and (b) assess provider and patient acceptability and satisfaction with the IBHC program, including behavioral health screening and clinical services of integrated behavioral health providers (BHPs). Fifteen providers (nine primary care providers and six nurses) and 79 patients (75% female, 65% Caucasian) completed program ratings in 2010. Providers completed an anonymous web-based questionnaire that assessed satisfaction with and acceptability of behavioral health screening and the IBHC program featuring integrated BHPs. Patients completed an anonymous web-based questionnaire that assessed program satisfaction and comfort with BHPs. Providers reported that behavioral health screening stimulated new conversations about behavioral health concerns, the BHPs provided clinically useful services, and patients benefited from the IBHC program. Patients reported satisfaction with behavioral health services and reported a willingness to meet again with BHPs. Providers and patients found the IBHC program beneficial to clinical care. Use of integrated BHPs can help university health centers support regular screening for mental and behavioral health issues. Care integration increases access to needed mental health treatment.

Psychometric assessment of the Primary Care Behavioral Health Provider Adherence Questionnaire (PPAQ)

Adherence to protocol among behavioral health providers working in co-located, collaborative care or Primary Care Behavioral Health settings has rarely been assessed due to limited measurement options. Development of psychometrically sound measures of provider fidelity may improve the translation of these service delivery models into every day practice. One hundred seventy-three integrated behavioral health providers in VA primary care clinics responded to an online questionnaire to assess the reliability and validity of the Primary Care Behavioral Health Provider Adherence Questionnaire (PPAQ). Psychometric assessment resulted in a reliable 48-item measure with two subscales that specified essential and prohibited provider behaviors. The PPAQ demonstrated strong convergent and divergent validity when compared to another measure of health care integration. Known-group comparisons provided partial support for criterion validity. The PPAQ is a reliable and valid self-report of behavioral health provider fidelity with implications for improving provider training, program monitoring, and clinical research.

Provider practices in the primary care behavioral health (PCBH) model: an initial examination in the Veterans Health Administration and United States Air Force.

The goals of this study were to identify characteristics of both behavioral health providers (BHPs) and the patients seen in a primary care behavioral health (PCBH) model of service delivery using prospective data obtained from BHPs. A secondary objective was to explore similarities and differences between these variables within the Veterans Health Administration (VHA) and United States Air Force (USAF) primary care clinics. A total of 159 VHA and 23 USAF BHPs, representing almost every state in the United States, completed the study, yielding data from 403 patient appointments. BHPs completed a web-based questionnaire that assessed BHP and setting characteristics, and a separate questionnaire after each patient seen on one day of clinical service. Data demonstrated that there are many similarities between the VHA and USAF BHPs and practices. Both systems tend to use well-trained psychologists as BHPs, had systems that support the BHP being in close proximity to the primary care providers, and have seamless operational elements (i.e., shared record, one waiting room, same-day appointments, and administrative support for BHPs). Comorbid anxiety and depression was the most common presenting problem in both systems, but overall rates were higher in VHA clinics, and patients were significantly more likely to meet diagnostic criteria for mental health conditions. This study provides the first systematic, prospective examination of BHPs and practices within a PCBH model of service delivery in two large health systems with well over 5 years of experience with behavioral health integration. Many elements of the PCBH model were implemented in a manner consistent with the model, although some variability exists within both settings. These data can help guide future implementation and training efforts.

Developing a measure of provider adherence to improve the implementation of behavioral health services in primary care: a Delphi study

BackgroundThe integration of behavioral health services into primary care is increasingly popular, yet fidelity of implementation in this area has been infrequently assessed due to the few measurement tools available. A sentinel indicator of fidelity of implementation is provider adherence, or utilization of prescribed procedures and engagement in model-specific behaviors. This study aimed to develop the first self-report measure of behavioral health provider adherence for co-located, collaborative care, a commonly adopted model of behavioral health service delivery in primary care.MethodsA preliminary 56-item measure was developed by the research team to represent critical components of adherence among behavioral health providers. To ensure the content validity of the measure, a modified Delphi study was conducted using a panel of co-located, collaborative care model experts. During three rounds of emailed surveys, panel members provided qualitative feedback regarding item content while rating each item’s relevance for behavioral health provider practice. Items with consensus ratings of 80% or greater were included in the final adherence measure.ResultsThe panel consisted of 25 experts representing the Department of Veterans Affairs, the Department of Defense, and academic and community health centers (total study response rate of 76%). During the Delphi process, two new items were added to the measure, four items were eliminated, and a high level of consensus was achieved on the remaining 54 items. Experts identified 38 items essential for model adherence, six items compatible (although not essential) for model adherence, and 10 items that represented prohibited behaviors. Item content addressed several domains, but primarily focused on behaviors related to employing a time-limited, brief treatment model, the scope of patient concerns addressed, and interventions used by providers.ConclusionsThis study yielded the first content valid self-report measure of critical components of collaborative care adherence for use by behavioral health providers in primary care. Although additional psychometric evaluation is necessary, this measure may assist implementation researchers in clarifying how provider behaviors contribute to clinical outcomes. This measure may also assist clinical stakeholders in monitoring implementation and identifying ways to support frontline providers in delivering high quality services.

Risk factors for secondary substance use disorders in people with childhood and adolescent-onset bipolar disorder: Opportunities for prevention

BACKGROUND Compared to other mental illnesses, bipolar disorder is associated with a disproportionately high rate of substance use disorders (SUDs), and the co-occurrence is associated with significant morbidity and mortality. Early diagnosis of primary bipolar disorder may provide opportunities for SUD prevention, but little is known about the risk factors for secondary SUD among individuals with bipolar disorder. The purposes of this study were to describe the population of people with childhood and adolescent-onset primary bipolar disorder, and to identify risk factors for secondary SUD in this population. METHODS Using data collected from the National Comorbidity Survey Replication study, we identified 158 individuals with childhood-onset (<13 years) or adolescent-onset (13-18 years) primary bipolar disorder (I, II or subthreshold). Survival analysis was used to identify risk factors for SUD. RESULTS Compared to adolescent-onset, people with childhood-onset bipolar disorder had increased likelihoods of attention deficit hyperactivity disorder (ADHD) (adjusted odds ratio=2.81) and suicide attempt (aOR=3.61). Males were more likely than females to develop SUD, and did so at a faster rate. Hazard ratios of risk factors for SUD were: lifetime oppositional defiant disorder (2.048), any lifetime anxiety disorder (3.077), adolescent-onset bipolar disorder (1.653), and suicide attempt (15.424). SUD was not predicted by bipolar disorder type, family history of bipolar disorder, hospitalization for a mood episode, ADHD or conduct disorder. CONCLUSIONS As clinicians struggle to help individuals with bipolar disorder, this study provides information that might be useful in identifying individuals at higher risk for SUD. Future research can examine whether targeting these risk factors may help prevent secondary SUD.

Evaluation of the PHQ-9 Item 3 as a Screen for Sleep Disturbance in Primary Care

ABSTRACTBACKGROUNDSleep disturbance is a significant problem for adults presenting to primary care. Though it is recommended that primary care providers screen for sleep problems, a brief, effective screening tool is not available.OBJECTIVEThe aim of this preliminary study was to test the utility of item three of the Patient Health Questionnaire-9-item (PHQ-9) as a self-report screening test for sleep disturbance in primary care.DESIGNThis was a cross-sectional survey of male VA primary care patients in Syracuse and Rochester, NY. Sensitivity and specificity statistics were calculated as well as positive and negative predictive value to determine both whether the PHQ-9 item-3 can be used as an effective sleep screen in primary care and at what PHQ item-3 cut score patients should be further assessed for sleep disturbance.PARTICIPANTSOne hundred and eleven male, VA primary care patients over the age of 18 and without gross neurological impairment participated in this one-session, in-person study.MEASURESDuring the research session, patients completed several questionnaires, including a basic demographic questionnaire, the PHQ-9, and the Insomnia Severity Index (ISI).KEY RESULTSPHQ-9 item 3 significantly correlated with the total score on the ISI (r = 0.75, p < 0.0001). A cut score of 1 on the PHQ-9 item 3, indicating sleep disturbance at least several days in the last two weeks, showed the best balance of sensitivity (82.5%) and specificity (84.5%) as well as positive (78.4%) and negative (91%) predictive value.CONCLUSIONSItem 3 of the PHQ-9 shows promise as a screener for sleep problems in primary care. Using this one-item of a popular screening measure for depression in primary care allows providers to easily screen for two important issues without unnecessarily adding significant burden.

Primary Care Behavioral Health (PCBH) Model Research: Current State of the Science and a Call to Action

The Primary Care Behavioral Health (PCBH) model of service delivery is being used increasingly as an effective way to integrate behavioral health services into primary care. Despite its growing popularity, scientifically robust research on the model is lacking. In this article, we provide a qualitative review of published PCBH model research on patient and implementation outcomes. We review common barriers and potential solutions for improving the quantity and quality of PCBH model research, the vital data that need to be collected over the next 10 years, and how to collect those data.