Depression complexity prevalence and outcomes among veterans affairs patients in integrated primary care.

INTRODUCTION: The Veterans Health Administration (VA) Primary Care-Mental Health Integration (PC-MHI) initiative targets depression (MDD), anxiety/posttraumatic stress disorder (PTSD) and alcohol misuse (AM) for care improvement. In primary care, case finding often relies on depression screening. Whereas clinical practice guidelines solely inform management of depression, minimal information exists to guide treatment when psychiatric symptom clusters coexist. We provide descriptive clinical information for care planners about VA PC patients with depression alone, depression plus alcohol misuse, and depression with complex psychiatric comorbidities (PTSD and/or probable bipolar disorder). METHOD: We examined data from a VA study that used a visit-based sampling procedure to screen 10,929 VA PC patients for depression; 761 patients with probable major depression completed baseline measures of health and care engagement. Follow-up assessments were completed at 7 months. RESULTS: At baseline, 53% of patients evidenced mental health conditions in addition to depression; 10% had concurrent AM, and 43% had psychiatrically complex depression (either with or without AM). Compared with patients with depression alone or depression with AM, those with psychiatrically complex depression evinced longer standing and more severe mood disturbance, higher likelihood of suicidal ideation, higher unemployment, and higher levels of polypharmacy. Baseline depression complexity predicted worse mental health status and functioning at follow-up. DISCUSSION: A substantial proportion of VA primary care patients with depression presented with high medical multimorbidity and elevated safety concerns. Psychiatrically complex depression predicted lower treatment effectiveness, suggesting that PC-MHI interventions should co-ordinate and individualize care for these patients. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Posttraumatic stress disorder collaborative care: A quality improvement study in veterans affairs primary care.

Introduction: Collaborative care improves depression and anxiety outcomes. In this naturalistic, observational case study, we adapted an evidence-based depression collaborative care protocol for the assessment and treatment of posttraumatic stress disorder (PTSD) and sought to demonstrate that the protocol could be implemented in Veterans Affairs (VA) primary care. Method: Based on feedback from a content expert panel, clinical stakeholders, and a pilot study conducted in a postdeployment clinic, the original depression collaborative care protocol was modified to include PTSD assessment and support for PTSD medication adherence, self-management, and engagement in evidence-based PTSD care. Results: The modified program was implemented from November 2012 to March 2017, and 239 patients with PTSD were referred. Nearly two thirds (n = 185) enrolled, and they participated in the program for an average of 4 to 5 months and completed calls approximately once per month. Among patients with more than one assessment of clinical outcomes, 53.4% (n = 94) reported clinically significant improvement in depression on the Patient Health Questionnaire-9 (≥ 5-point decrease), and 42.2% (n = 35) reported clinically significant improvement on the PTSD Checklist (≥ 10-point decrease). Veterans and clinical staff described the modified collaborative care program positively in qualitative interviews. Discussion: Our findings suggest that a depression collaborative care program can be modified to support treatment of PTSD in primary care. The modified program was acceptable to both veterans and clinical staff and showed potential for positive clinical change in an uncontrolled quality improvement study. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Women Veterans with Depression in Veterans Health Administration Primary Care: An Assessment of Needs and Preferences.

OBJECTIVE: Depression is the most prevalent mental health condition in primary care (PC). Yet as the Veterans Health Administration increases resources for PC/mental health integration, including integrated care for women, there is little detailed information about depression care needs, preferences, comorbidity, and access patterns among women veterans with depression followed in PC. METHODS: We sampled patients regularly engaged with Veterans Health Administration PC. We screened 10,929 (10,580 men, 349 women) with the two-item Patient Health Questionnaire. Of the 2,186 patients who screened positive (2,092 men, 94 women), 2,017 men and 93 women completed the full Patient Health Questionnaire-9 depression screening tool. Ultimately, 46 women and 715 men with probable major depression were enrolled and completed a baseline telephone survey. We conducted descriptive statistics to provide information about the depression care experiences of women veterans and to examine potential gender differences at baseline and at seven month follow-up across study variables. RESULTS: Among those patients who agreed to screening, 20% of women (70 of 348) had probable major depression, versus only 12% of men (1,243 of 10,505). Of the women, 48% had concurrent probable posttraumatic stress disorder and 65% reported general anxiety. Women were more likely to receive adequate depression care than men (57% vs. 39%, respectively; p < .05); 46% of women and 39% of men reported depression symptom improvement at the 7-month follow-up. Women veterans were less likely than men to prefer care from a PC physician (p < .01) at baseline and were more likely than men to report mental health specialist care (p < .01) in the 6 months before baseline. CONCLUSION AND IMPLICATIONS FOR PRACTICE: PC/mental health integration planners should consider methods for accommodating women veterans unique care needs and preferences for mental health care delivered by health care professionals other than physicians.

Stigma Predicts Treatment Preferences and Care Engagement Among Veterans Affairs Primary Care Patients with Depression.

BACKGROUND: Whereas stigma regarding mental health concerns exists, the evidence for stigma as a depression treatment barrier among patients in Veterans Affairs (VA) primary care (PC) is mixed. PURPOSE: This study tests whether stigma, defined as depression label avoidance, predicted patients' preferences for depression treatment providers, patients' prospective engagement in depression care, and care quality. METHODS: We conducted cross-sectional and prospective analyses of existing data from 761 VA PC patients with probable major depression. RESULTS: Relative to low-stigma patients, those with high stigma were less likely to prefer treatment from mental health specialists. In prospective controlled analyses, high stigma predicted lower likelihood of the following: taking medications for mood, treatment by mental health specialists, treatment for emotional concerns in PC, and appropriate depression care. CONCLUSIONS: High stigma is associated with lower preferences for care from mental health specialists and confers risk for minimal depression treatment engagement.

Depression Quality of Care: Measuring Quality over Time Using VA Electronic Medical Record Data.

BACKGROUND: The Veterans Health Administration (VA) has invested substantially in evidence-based mental health care. Yet no electronic performance measures for assessing the level at which the population of Veterans with depression receive appropriate care have proven robust enough to support rigorous evaluation of the VA's depression initiatives. OBJECTIVE: Our objectives were to develop prototype longitudinal electronic population-based measures of depression care quality, validate the measures using expert panel judgment by VA and non-VA experts, and examine detection, follow-up and treatment rates over a decade (2000-2010). We describe our development methodology and the challenges to creating measures that capture the longitudinal course of clinical care from detection to treatment. DESIGN AND PARTICIPANTS: Data come from the National Patient Care Database and Pharmacy Benefits Management Database for primary care patients from 1999 to 2011, from nine Veteran Integrated Service Networks. MEASURES: We developed four population-based quality metrics for depression care that incorporate a 6-month look back and 1-year follow-up: detection of a new episode of depression, 84 and 180 day follow-up, and minimum appropriate treatment 1-year post detection. Expert panel techniques were used to evaluate the measure development methodology and results. Key challenges to creating valid longitudinal measures are discussed. KEY RESULTS: Over the decade, the rates for detection of new episodes of depression remained stable at 7-8 %. Follow-up at 84 and 180 days were 37 % and 45 % in 2000 and increased to 56 % and 63 % by 2010. Minimum appropriate treatment remained relatively stable over the decade (82-84 %). CONCLUSIONS: The development of valid longitudinal, population-based quality measures for depression care is a complex process with numerous challenges. If the full spectrum of care from detection to follow-up and treatment is not captured, performance measures could actually mask the clinical areas in need of quality improvement efforts.

A pilot trial of telephone-based collaborative care management for PTSD among Iraq/Afghanistan war veterans.

BACKGROUND: Collaborative care and care management are cornerstones of Primary Care-Mental Health Integration (PC-MHI) and have been shown to reduce depressive symptoms. Historically, the standard of Veterans Affairs (VA) collaborative care was referring patients with posttraumatic stress disorder (PTSD) to specialty care. Although referral to evidence-based specialty care is ideal, many veterans with PTSD do not receive such care. To address this issue and reduce barriers to care, VA currently recommends veterans with PTSD be offered treatment within PC-MHI as an alternative. The current project outlines a pilot implementation of an established telephone-based collaborative care model-Translating Initiatives for Depression into Effective Solutions (TIDES)-adapted for Iraq/Afghanistan War veterans with PTSD symptoms (TIDES/PTSD) seen in a postdeployment primary care clinic. MATERIALS AND METHODS: Structured medical record extraction and qualitative data collection procedures were used to evaluate acceptability, feasibility, and outcomes. RESULTS: Most participants (n=17) were male (94.1%) and white (70.6%). Average age was 31.2 (standard deviation=6.4) years. TIDES/PTSD was successfully implemented within PC-MHI and was acceptable to patients and staff. Additionally, the total number of care manager calls was positively correlated with number of psychiatry visits (r=0.63, p<0.05) and amount of reduction in PTSD symptoms (r=0.66, p<0.05). Overall, participants in the pilot reported a significant reduction in PTSD symptoms over the course of the treatment (t=2.87, p=0.01). CONCLUSIONS: TIDES can be successfully adapted and implemented for use among Iraq/Afghanistan veterans with PTSD. Further work is needed to test the effectiveness and implementation of this model in other sites and among veterans of other eras.

Veterans with depression in primary care: provider preferences, matching, and care satisfaction.

Primary care is often the first point of care for individuals with depression. Depressed patients often have comorbid alcohol use disorder (AUD) and posttraumatic stress disorder (PTSD). Understanding variations in treatment preferences and care satisfaction in this population can improve care planning and outcomes. The design involved a cross-sectional comparison of veterans screening positive for depression. Veterans receiving primary care during the previous year were contacted (n = 10, 929) and were screened for depression using the PHQ-2/PHQ-9. Those with probable depression (n = 761) underwent a comprehensive assessment including screens for AUD and PTSD, treatment provider preferences, treatments received, and satisfaction with care. Treatment provider preferences differed based on specific mental health comorbidities, and satisfaction with care was associated with receipt of preferred care. Depressed veterans with comorbid PTSD were more likely to prefer care from more than one provider type (e.g., a psychiatrist and a primary care provider) and were more likely to receive treatment that matched their preferences than veterans without comorbid PTSD. Veterans receiving full or partial treatment matches affirmed satisfaction with care at higher rates, and veterans with comorbid PTSD were least satisfied when care did not match their preferences. Patient satisfaction with care is an increasingly important focus for health care systems. This study found significant variations in depressed patients' satisfaction with care in terms of treatment matching, particularly among those with comorbid PTSD. Delivery of care that matches patient treatment preferences is likely to improve depressed patient's satisfaction with the care provided. (PsycINFO Database Record (c) 2014 APA, all rights reserved).

Predictors of primary care management of depression in the Veterans Affairs healthcare system.

BACKGROUND: Primary care providers (PCPs) vary in skills to effectively treat depression. Key features of evidence-based collaborative care models (CCMs) include the availability of depression care managers (DCMs) and mental health specialists (MHSs) in primary care. Little is known, however, about the relationships between PCP characteristics, CCM features, and PCP depression care. OBJECTIVE: To assess relationships between various CCM features, PCP characteristics, and PCP depression management. DESIGN: Cross-sectional analysis of a provider survey. PARTICIPANTS: 180 PCPs in eight VA sites nationwide. MAIN MEASURES: Independent variables included scales measuring comfort and difficulty with depression care; collaboration with a MHS; self-reported depression caseload; availability of a collocated MHS, and co-management with a DCM or MHS. Covariates included provider type and gender. For outcomes, we assessed PCP self-reported performance of key depression management behaviors in primary care in the past 6 months. KEY RESULTS: Response rate was 52 % overall, with 47 % attending physicians, 34 % residents, and 19 % nurse practitioners and physician assistants. Half (52 %) reported greater than eight veterans with depression in their panels and a MHS collocated in primary care (50 %). Seven of the eight clinics had a DCM. In multivariable analysis, significant predictors for PCP depression management included comfort, difficulty, co-management with MHSs and numbers of veterans with depression in their panels. CONCLUSIONS: PCPs who felt greater ease and comfort in managing depression, co-managed with MHSs, and reported higher depression caseloads, were more likely to report performing depression management behaviors. Neither a collocated MHS, collaborating with a MHS, nor co-managing with a DCM independently predicted PCP depression management. Because the success of collaborative care for depression depends on the ability and willingness of PCPs to engage in managing depression themselves, along with other providers, more research is necessary to understand how to engage PCPs in depression management.

Prevalence and correlates of smoking status among veterans affairs primary care patients with probable major depressive disorder.

In an attempt to guide planning and optimize outcomes for population-specific smoking cessation efforts, the present study examined smoking prevalence and the demographic, clinical and psychosocial characteristics associated with smoking among a sample of Veterans Affairs primary care patients with probable major depression. Survey data were collected between 2003 and 2004 from 761 patients with probable major depression who attended one of 10 geographically dispersed VA primary care clinics. Current smoking prevalence was 39.8%. Relative to nonsmokers with probable major depression, bivariate comparisons revealed that current smokers had higher depression severity, drank more heavily, and were more likely to have comorbid PTSD. Smokers with probable major depression were also more likely than nonsmokers with probable major depression to have missed a health care appointment and to have missed medication doses in the previous 5months. Smokers were more amenable than non-smokers to depression treatment and diagnosis, and they reported more frequent visits to a mental health specialist and less social support. Alcohol abuse and low levels of social support were significant concurrent predictors of smoking status in controlled multivariable logistic regression. In conclusion, smoking prevalence was high among primary care patients with probable major depression, and these smokers reported a range of psychiatric and psychosocial characteristics with potential to complicate systems-level smoking cessation interventions.

Family involvement, medication adherence, and depression outcomes among patients in veterans affairs primary care.

OBJECTIVE Family involvement and social support are associated with recovery from mental disorders. This project explored how family involvement in health care and social support among depressed veterans in primary care related to medication adherence and depression outcomes. METHODS During a longitudinal telephone survey, 761 Veterans Affairs (VA) primary care patients (mean age=60 years) with probable major depression were asked about depression symptoms, self-reported health, medication adherence, social support, family involvement with care, and satisfaction with clinicians' efforts to involve the patients' families in their care. Follow-up interviews at seven and 18 months assessed depression severity and medication adherence. RESULTS Most participants lived with others (71%) and reported moderately high social support. Most participants (62%) reported being very likely to discuss treatment of a major medical condition with family, but 64% reported that VA providers had not involved the participants' family in their care within the prior six months. In multivariate regression analyses, lower depression severity and better medication adherence over time were significantly linked to higher satisfaction with limited efforts by clinicians to involve families in care. Neither social support nor the extent of family involvement by itself was associated with outcomes. CONCLUSIONS The results suggested a link between patient satisfaction with family involvement by clinicians and clinical outcomes among depressed veterans. In addition, clinician responsiveness to patient wishes may be more important than the amount of family involvement per se. Further research is needed to clarify when and how clinicians should involve a patient's family in depression treatment in primary care.

Help-seeking from clergy and spiritual counselors among veterans with depression and PTSD in primary care.

Little is known about the prevalence or predictors of seeking help for depression and PTSD from spiritual counselors and clergy. We describe openness to and actual help-seeking from spiritual counselors among primary care patients with depression. We screened consecutive VA primary care patients for depression; 761 Veterans with probable major depression participated in telephone surveys (at baseline, 7 months, and 18 months). Participants were asked about (1) openness to seeking help for emotional problems from spiritual counselors/clergy and (2) actual contact with spiritual counselors/clergy in the past 6 months. At baseline, almost half of the participants, 359 (47.2%), endorsed being "very" or "somewhat likely" to seek help for emotional problems from spiritual counselors; 498 (65.4%) were open to a primary care provider, 486 (63.9%) to a psychiatrist, and 409 (66.5%) to another type of mental health provider. Ninety-one participants (12%) reported actual spiritual counselor/clergy consultation. Ninety-five (10.3%) participants reported that their VA providers had recently asked them about spiritual support; the majority of these found this discussion helpful. Participants with current PTSD symptoms, and those with a mental health visit in the past 6 months, were more likely to report openness to and actual help-seeking from clergy. Veterans with depression and PTSD are amenable to receiving help from spiritual counselors/clergy and other providers. Integration of spiritual counselors/clergy into care teams may be helpful to Veterans with PTSD. Training of such providers to address PTSD specifically may also be desirable.

Relationships between mood and employment over time among depressed VA primary care patients.

OBJECTIVE: Associations between depression, productivity and work loss have been reported, yet few studies have examined relationships between longitudinal depression status and employment continuity. We assessed these relationships among Veterans of conventional working ages. METHODS: We used longitudinal survey data from Veterans receiving primary care in 1 of 10 Veterans Health Administration primary care practices in five states. Our sample included 516 participants with nine-item Patient Health Questionnaire (PHQ-9) scores indicating probable major depression (PHQ-9≥10) at baseline and who completed either the 7-month follow-up survey or follow-up surveys at both 7 and 18 months postbaseline. We examined relationships between depression persistence and employment status using multinomial logistic regression models. RESULTS: Although general employment rates remained stable (21%-23%), improved depression status was associated with an increased likelihood of becoming employed over 7 months among those who were both depressed and nonemployed at baseline. Improvements in depression status starting at 7 months and continuing through 18 months were associated with remaining employed over the 18-month period, relative to those who were depressed throughout the same time frame. CONCLUSIONS: Given the pressing need to prevent socioeconomic deterioration in the increasing population of conventional working-aged Operation Enduring Freedom and Operation Iraqi Freedom Veterans, further attention to the depression/employment relationship is urgently needed.

Yield of practice-based depression screening in VA primary care settings.

BACKGROUND: Many patients who should be treated for depression are missed without effective routine screening in primary care (PC) settings. Yearly depression screening by PC staff is mandated in the VA, yet little is known about the expected yield from such screening when administered on a practice-wide basis. OBJECTIVE: We characterized the yield of practice-based screening in diverse PC settings, as well as the care needs of those assessed as having depression. DESIGN: Baseline enrollees in a group randomized trial of implementation of collaborative care for depression. PARTICIPANTS: Randomly sampled patients with a scheduled PC appointment in ten VA primary care clinics spanning five states. MEASUREMENTS: PHQ-2 screening followed by the full PHQ-9 for screen positives, with standardized sociodemographic and health status questions. RESULTS: Practice-based screening of 10,929 patients yielded 20.1% positive screens, 60% of whom were assessed as having probable major depression based on the PHQ-9 (11.8% of all screens) (n = 1,313). In total, 761 patients with probable major depression completed the baseline assessment. Comorbid mental illnesses (e.g., anxiety, PTSD) were highly prevalent. Medical comorbidities were substantial, including chronic lung disease, pneumonia, diabetes, heart attack, heart failure, cancer and stroke. Nearly one-third of the depressed PC patients reported recent suicidal ideation (based on the PHQ-9). Sexual dysfunction was also common (73.3%), being both longstanding (95.1% with onset >6 months) and frequently undiscussed and untreated (46.7% discussed with any health care provider in past 6 months). CONCLUSIONS: Practice-wide survey-based depression screening yielded more than twice the positive-screen rate demonstrated through chart-based VA performance measures. The substantial level of comorbid physical and mental illness among PC patients precludes solo management by either PC or mental health (MH) specialists. PC practice- and provider-level guideline adherence is problematic without systems-level solutions supporting adequate MH assessment, PC treatment and, when needed, appropriate MH referral.

Implementing collaborative care for depression treatment in primary care: a cluster randomized evaluation of a quality improvement practice redesign.

BACKGROUND: Meta-analyses show collaborative care models (CCMs) with nurse care management are effective for improving primary care for depression. This study aimed to develop CCM approaches that could be sustained and spread within Veterans Affairs (VA). Evidence-based quality improvement (EBQI) uses QI approaches within a research/clinical partnership to redesign care. The study used EBQI methods for CCM redesign, tested the effectiveness of the locally adapted model as implemented, and assessed the contextual factors shaping intervention effectiveness. METHODS: The study intervention is EBQI as applied to CCM implementation. The study uses a cluster randomized design as a formative evaluation tool to test and improve the effectiveness of the redesign process, with seven intervention and three non-intervention VA primary care practices in five different states. The primary study outcome is patient antidepressant use. The context evaluation is descriptive and uses subgroup analysis. The primary context evaluation measure is naturalistic primary care clinician (PCC) predilection to adopt CCM.For the randomized evaluation, trained telephone research interviewers enrolled consecutive primary care patients with major depression in the evaluation, referred enrolled patients in intervention practices to the implemented CCM, and re-surveyed at seven months. RESULTS: Interviewers enrolled 288 CCM site and 258 non-CCM site patients. Enrolled intervention site patients were more likely to receive appropriate antidepressant care (66% versus 43%, p = 0.01), but showed no significant difference in symptom improvement compared to usual care. In terms of context, only 40% of enrolled patients received complete care management per protocol. PCC predilection to adopt CCM had substantial effects on patient participation, with patients belonging to early adopter clinicians completing adequate care manager follow-up significantly more often than patients of clinicians with low predilection to adopt CCM (74% versus 48%%, p = 0.003). CONCLUSIONS: Depression CCM designed and implemented by primary care practices using EBQI improved antidepressant initiation. Combining QI methods with a randomized evaluation proved challenging, but enabled new insights into the process of translating research-based CCM into practice. Future research on the effects of PCC attitudes and skills on CCM results, as well as on enhancing the link between improved antidepressant use and symptom outcomes, is needed. TRIAL REGISTRATION: ClinicalTrials.gov: NCT00105820.

Suicide risk management: development and analysis of a telephone-based approach to patient safety.

Research-based queries about patients' experiences often uncover suicidal thoughts. Human subjects review requires suicide risk management (SRM) protocols to protect patients, yet minimal information exists to guide researchers' protocol development and implementation efforts. The purpose of this study was to examine the development and implementation of an SRM protocol employed during telephone-based screening and data collection interviews of depressed primary care patients. We describe an SRM protocol development process and employ qualitative analysis of de-identified documentation to characterize protocol-driven interactions between research clinicians and patients. Protocol development required advance planning, training, and team building. Three percent of screened patients evidenced suicidal ideation; 12% of these met protocol standards for study clinician assessment/intervention. Risk reduction activities required teamwork and extensive collaboration. Research-based SRM protocols can facilitate patient safety by (1) identifying and verifying local clinical site approaches and resources and (2) integrating these features into prevention protocols and training for research teams.

Using evidence-based quality improvement methods for translating depression collaborative care research into practice.

OBJECTIVE: Translating Initiatives in Depression into Effective Solution (TIDES) aimed to translate research-based collaborative care for depression into an approach for the Veterans Health Administration (VA). SITES: Three multistate administrative regions and seven of their medium-sized primary care practices. INTERVENTION: Researchers assisted regional leaders in adapting research-based depression care models using evidence-based quality improvement (EBQI) methods. EVALUATION: We evaluated model fidelity and impacts on patients. Trained nurse depression care managers collected data on patient adherence and outcomes. RESULTS: Among 72% (128) of the 178 patients followed in primary care with depression care manager assistance during the 3-year study period, mean PHQ-9 scores dropped from 15.1 to 4.7 (p < .001). A total of 87% of patients achieved a PHQ-9 score lower than 10 (no major depression). 62% achieved a score lower than six (symptom resolution). Care managers referred 28% (50) TIDES patients to mental health specialty (MHS). In the MHS-referred group, mean PHQ-9 scores dropped from 16.4 to 9.0 (p < .001). A total of 58% of MHS-referred patients achieved a PHQ-9 score lower than 10, and 40%, a score less than 6. Over the 2 years following the initial development phase reported here, national policymakers endorsed TIDES through national directives and financial support. CONCLUSIONS: TIDES developed an evidence-based depression collaborative care prototype for a large health care organization (VA) using EBQI methods. As expected, care managers referred sicker patients to mental health specialists; these patients also improved. Overall, TIDES achieved excellent overall patient outcomes, and the program is undergoing national spread.

Health care utilization and its costs for depressed veterans with and without comorbid PTSD symptoms.

OBJECTIVE: This study examined health care utilization and costs of care among Veterans Affairs (VA) patients with depression and with or without symptoms of comorbid posttraumatic stress disorder (PTSD). METHODS: Cross-sectional comparisons of health care utilization and costs were conducted with VA administrative data for a sample of veterans from a randomized trial of collaborative care depression treatment in ten VA primary care clinics across five states. Patients with depression or dysthymia were included in the study, and those who were acutely suicidal or had probable bipolar disorder were excluded. The sample of 606 patients was mainly male, white, and aged 55 or older. Health care utilization, costs, and medication data from VA administrative databases were analyzed over 12 months. RESULTS: Patients with depression and PTSD (screen score > or =3) were more emotionally distressed, had more frequent mental health specialty visits (6.91 versus 1.68, p<.001), more total outpatient visits (26.16 versus 19.94, p<.001), and correspondingly higher outpatient mental health care costs over the previous 12 months compared with depressed patients without PTSD. Antidepressants were prescribed to a higher proportion of depressed patients with PTSD (61% versus 40%). CONCLUSIONS: Patients with PTSD and depression had greater utilization of specialty mental health treatments and antidepressant medications and higher mental health care costs in the previous 12 months than depressed patients without PTSD. As military personnel return from Iraq, both VA and non-VA health care providers need to plan for an increase in outpatient mental health services and costs, particularly among depressed veterans who also have PTSD.

Organizational cost of quality improvement for depression care.

OBJECTIVE: We documented organizational costs for depression care quality improvement (QI) to develop an evidence-based, Veterans Health Administration (VA) adapted depression care model for primary care practices that performed well for patients, was sustained over time, and could be spread nationally in VA. DATA SOURCES AND STUDY SETTING: Project records and surveys from three multistate VA administrative regions and seven of their primary care practices. STUDY DESIGN: Descriptive analysis. DATA COLLECTION: We documented project time commitments and expenses for 86 clinical QI and 42 technical expert support team participants for 4 years from initial contact through care model design, Plan-Do-Study-Act cycles, and achievement of stable workloads in which models functioned as routine care. We assessed time, salary costs, and costs for conference calls, meetings, e-mails, and other activities. PRINCIPLE FINDINGS: Over an average of 27 months, all clinics began referring patients to care managers. Clinical participants spent 1,086 hours at a cost of $84,438. Technical experts spent 2,147 hours costing $197,787. Eighty-five percent of costs derived from initial regional engagement activities and care model design. CONCLUSIONS: Organizational costs of the QI process for depression care in a large health care system were significant, and should be accounted for when planning for implementation of evidence-based depression care.

Dual use of VA and non-VA services among primary care patients with depression.

BACKGROUND: Depression treatment requires close monitoring to achieve optimal, long-term control. Use of multiple sources of health care can affect coordination and continuity of treatment for depression. OBJECTIVES: To assess levels of non-Veterans Health Administration (VA) use among depressed primary care patients by service type and examine patient factors associated with non-VA use. DESIGN: Cross-sectional comparison of dual and VA-only users among depressed primary care patients. Depression was defined as PHQ-9 >or=10. SUBJECTS: Five hundred fifty depressed patients from the baseline sample of a group-randomized trial of collaborative care for depression in ten VA primary care practices. MEASUREMENTS: VA and non-VA outpatient utilization for physical and emotional health problems in the prior 6 months, patient demographics, and co-morbid conditions. All measures were self-reported and obtained at the baseline interview. RESULTS: Overall, 46.8% of VA depressed primary care patients utilized non-VA care. Dual users were more likely to use acute care services (emergency room or inpatient), especially for physical health problems. Dual users of physical health services had more total visits, but fewer VA visits than VA-only users, while dual users of emotional health services had fewer total and VA visits. Factors associated with dual use were urban clinic location, having other insurance coverage, and dissatisfaction with physical health care in general. CONCLUSIONS: Almost half of depressed primary care patients used non-VA care, with most of their non-VA use for physical rather than emotional health problems. Care management strategies for depressed patients should include communication and coordination with non-VA providers.

Human subjects protection issues in QUERI implementation research: QUERI Series.

BACKGROUND: Human Subjects protections approaches, specifically those relating to research review board oversight, vary throughout the world. While all are designed to protect participants involved in research, the structure and specifics of these institutional review boards (IRBs) can and do differ. This variation affects all types of research, particularly implementation research. METHODS: In 2001, we began a series of inter-related studies on implementing evidence-based collaborative care for depression in Veterans Health Administration primary care. We have submitted more than 100 IRB applications, amendments, and renewals, and in doing so, we have interacted with 13 VA and University IRBs across the United States (U.S.). We present four overarching IRB-related themes encountered throughout the implementation of our projects, and within each theme, identify key challenges and suggest approaches that have proved useful. Where applicable, we showcase process aids developed to assist in resolving a particular IRB challenge. RESULTS: There are issues unique to implementation research, as this type of research may not fit within the traditional Human Subjects paradigm used to assess clinical trials. Risks in implementation research are generally related to breaches of confidentiality, rather than health risks associated with traditional clinical trials. The implementation-specific challenges discussed are: external validity considerations, Plan-Do-Study-Act cycles, risk-benefit issues, the multiple roles of researchers and subjects, and system-level unit of analysis. DISCUSSION: Specific aspects of implementation research interact with variations in knowledge, procedures, and regulatory interpretations across IRBs to affect the implementation and study of best methods to increase evidence-based practice. Through lack of unambiguous guidelines and local liability concerns, IRBs are often at risk of applying both variable and inappropriate or unnecessary standards to implementation research that are not consistent with the spirit of the Belmont Report (a summary of basic ethical principles identified by the National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research), and which impede the conduct of evidence-based quality improvement research. While there are promising developments in the IRB community, it is incumbent upon implementation researchers to interact with IRBs in a manner that assists appropriate risk-benefit determinations and helps prevent the process from having a negative impact on efforts to reduce the lag in implementing best practices.