Treatment‐Resistant Depression and Risk of Suicide

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/99660/1/sltb12022.pd

Determinants of National Guard Mental Health Service Utilization in VA versus Non‐VA Settings

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/134155/1/hesr12446.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/134155/2/hesr12446-sup-0001-AppendixSA1.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/134155/3/hesr12446_am.pd

Buddy-to-Buddy, a citizen soldier peer support program to counteract stigma, PTSD, depression, and suicide

Citizen soldiers (National Guard and Reserves) represent approximately 40% of the two million armed forces deployed to Afghanistan and Iraq. Twenty-five to forty percent of them develop PTSD, clinical depression, sleep disturbances, or suicidal thoughts. Upon returning home, many encounter additional stresses and hurdles to obtaining care: specifically, many civilian communities lack military medical/psychiatric facilities; financial, job, home, and relationship stresses have evolved or have been exacerbated during deployment; uncertainty has increased related to future deployment; there is loss of contact with military peers; and there is reluctance to recognize and acknowledge mental health needs that interfere with treatment entry and adherence. Approximately half of those needing help are not receiving it. To address this constellation of issues, a private–public partnership was formed under the auspices of the Welcome Back Veterans Initiative. In Michigan, the Army National Guard teamed with the University of Michigan and Michigan State University to develop innovative peer-to-peer programs for soldiers (Buddy-to-Buddy) and augmented programs for military families. Goals are to improve treatment entry, adherence, clinical outcomes, and to reduce suicides. This manuscript describes training approaches, preliminary results, and explores future national dissemination.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/79148/1/j.1749-6632.2010.05719.x.pd

Effect of Race and Sex on Primary Care Physicians' Diagnosis and Treatment of Late-Life Depression

To examine primary care physician (PCP) contributions toward racial and sex differences in the diagnosis and treatment of late-life depression. Design : Survey using a computerized instrument incorporating video interviews and text, with volunteer PCPs randomly assigned to one of four standardized video vignettes of an elderly patient depicting late-life depression. Vignettes differed only in the patient/actor's race (white/African-American) or sex. Setting : American Academy of Family Physicians meeting, San Diego, California, 2002. Participants : One hundred seventy-eight U.S.-practicing postresidency PCPs who were asked to participate in a clinical decision-making study. Measurements : The computerized survey instrument assessed PCPs' diagnoses, first-line treatment and management recommendations, and judgment of personal characteristics/behaviors for the patients in the vignettes. Results : Eighty-five percent of all PCPs correctly diagnosed the elderly patient(s) with major depression. There were no significant differences in the diagnosis of depression, treatment recommendations, or PCP assessment of most patient characteristics by the race or sex of the patient/actor in the vignette, but PCP characteristics, most notably the location of medical school training (U.S. vs international), affected the likelihood of a depression diagnosis and treatment recommendations. Conclusion : Given standardized symptom-pictures, PCPs are just as likely to diagnose and treat depression in African-American as in white older people, suggesting that bias based simply on apparent patient race is not a likely explanation for the lower rates of depression diagnosis and treatment in older African Americans. PCPs who have trained at international medical schools may benefit from targeted training initiatives on the diagnosis and treatment of late-life depression.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/65962/1/j.1532-5415.2005.53255.x.pd

Validation of key behaviourally based mental health diagnoses in administrative data: suicide attempt, alcohol abuse, illicit drug abuse and tobacco use

<p>Abstract</p> <p>Background</p> <p>Observational research frequently uses administrative codes for mental health or substance use diagnoses and for important behaviours such as suicide attempts. We sought to validate codes (<it>International Classification of Diseases, 9^thedition, clinical modification </it>diagnostic and E-codes) entered in Veterans Health Administration administrative data for patients with depression versus a gold standard of electronic medical record text ("chart notation").</p> <p>Methods</p> <p>Three random samples of patients were selected, each stratified by geographic region, gender, and year of cohort entry, from a VHA depression treatment cohort from April 1, 1999 to September 30, 2004. The first sample was selected from patients who died by suicide, the second from patients who remained alive on the date of death of suicide cases, and the third from patients with a new start of a commonly used antidepressant medication. Four variables were assessed using administrative codes in the year prior to the index date: suicide attempt, alcohol abuse/dependence, drug abuse/dependence and tobacco use.</p> <p>Results</p> <p>Specificity was high (≥ 90%) for all four administrative codes, regardless of the sample. Sensitivity was ≤75% and was particularly low for suicide attempt (≤ 17%). Positive predictive values for alcohol dependence/abuse and tobacco use were high, but barely better than flipping a coin for illicit drug abuse/dependence. Sensitivity differed across the three samples, but was highest in the suicide death sample.</p> <p>Conclusions</p> <p>Administrative data-based diagnoses among VHA records have high specificity, but low sensitivity. The accuracy level varies by different diagnosis and by different patient subgroup.</p

Reported Barriers to Mental Health Care in Three Samples of U.S. Army National Guard Soldiers at Three Time Points

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/108379/1/jts21942.pd

Using A Pharmacy-Based Intervention To Improve Antipsychotic Adherence Among Patients With Serious Mental Illness

Background: Similar to patients with other chronic disorders, patients with serious mental illness (SMI) are often poorly adherent with prescribed medications. Objective: We conducted a randomized controlled trial examining the effectiveness of a pharmacy-based intervention (Meds-Help) in increasing antipsychotic medication adherence among Department of Veterans Affairs (VA) patients with SMI. We also examined the impact of Meds-Help on psychiatric symptoms, quality of life, and satisfaction with care. Methods: We enrolled 118 patients from 4 VA facilities with schizophrenia, schizoaffective, or bipolar disorder who were on long-term antipsychotics but had antipsychotic medication possession ratios (MPRs) Results: Prior to enrollment, Meds-Help and UC patients had mean antipsychotic MPRs of 0.54 and 0.55, respectively. At 6 months, mean MPRs were 0.91 for Meds-Help and 0.64 for UC patients; at 12 months, they were 0.86 for Meds-Help and 0.62 for UC patients. In multivariate analyses adjusting for patient factors, Meds-Help patients had significantly higher MPRs at 6 and 12 months (P \u3c .0001). There were no significant differences between groups in PANSS, QWB, or CSQ-8 scores, but power to detect small effects was limited. Conclusions: Congruent with prior studies of patients with other disorders, a practical pharmacy-based intervention increased antipsychotic adherence among patients with SMI. However, SMI patients may require additional care management components to improve outcomes

Patterns of primary care and mortality among patients with schizophrenia or diabetes: a cluster analysis approach to the retrospective study of healthcare utilization

Abstract Background Patients with schizophrenia have difficulty managing their medical healthcare needs, possibly resulting in delayed treatment and poor outcomes. We analyzed whether patients reduced primary care use over time, differentially by diagnosis with schizophrenia, diabetes, or both schizophrenia and diabetes. We also assessed whether such patterns of primary care use were a significant predictor of mortality over a 4-year period. Methods The Veterans Healthcare Administration (VA) is the largest integrated healthcare system in the United States. Administrative extracts of the VA's all-electronic medical records were studied. Patients over age 50 and diagnosed with schizophrenia in 2002 were age-matched 1:4 to diabetes patients. All patients were followed through 2005. Cluster analysis explored trajectories of primary care use. Proportional hazards regression modelled the impact of these primary care utilization trajectories on survival, controlling for demographic and clinical covariates. Results Patients comprised three diagnostic groups: diabetes only (n = 188,332), schizophrenia only (n = 40,109), and schizophrenia with diabetes (Scz-DM, n = 13,025). Cluster analysis revealed four distinct trajectories of primary care use: consistent over time, increasing over time, high and decreasing, low and decreasing. Patients with schizophrenia only were likely to have low-decreasing use (73% schizophrenia-only vs 54% Scz-DM vs 52% diabetes). Increasing use was least common among schizophrenia patients (4% vs 8% Scz-DM vs 7% diabetes) and was associated with improved survival. Low-decreasing primary care, compared to consistent use, was associated with shorter survival controlling for demographics and case-mix. The observational study was limited by reliance on administrative data. Conclusion Regular primary care and high levels of primary care were associated with better survival for patients with chronic illness, whether psychiatric or medical. For schizophrenia patients, with or without comorbid diabetes, primary care offers a survival benefit, suggesting that innovations in treatment retention targeting at-risk groups can offer significant promise of improving outcomes.http://deepblue.lib.umich.edu/bitstream/2027.42/78274/1/1472-6963-9-127.xmlhttp://deepblue.lib.umich.edu/bitstream/2027.42/78274/2/1472-6963-9-127.pdfPeer Reviewe

Developing Telemental Health Partnerships Between State Medical Schools and Federally Qualified Health Centers: Navigating the Regulatory Landscape and Policy Recommendations

BackgroundFederally Qualified Health Centers (FQHCs) deliver care to 26 million Americans living in underserved areas, but few offer telemental health (TMH) services. The social missions of FQHCs and publicly funded state medical schools create a compelling argument for the development of TMH partnerships. In this paper, we share our experience and recommendations from launching TMH partnerships between 12 rural FQHCs and 3 state medical schools.ExperienceThere was consensus that medical school TMH providers should practice as part of the FQHC team to promote integration, enhance quality and safety, and ensure financial sustainability. For TMH providers to practice and bill as FQHC providers, the following issues must be addressed: (1) credentialing and privileging the TMH providers at the FQHC, (2) expanding FQHC Scope of Project to include telepsychiatry, (3) remote access to medical records, (4) insurance credentialing/paneling, billing, and supplemental payments, (5) contracting with the medical school, and (6) indemnity coverage for TMH.RecommendationsWe make recommendations to both state medical schools and FQHCs about how to overcome existing barriers to TMH partnerships. We also make recommendations about changes to policy that would mitigate the impact of these barriers. Specifically, we make recommendations to the Centers for Medicare and Medicaid about insurance credentialing, facility fees, eligibility of TMH encounters for supplemental payments, and Medicare eligibility rules for TMH billing by FQHCs. We also make recommendations to the Health Resources and Services Administration about restrictions on adding telepsychiatry to the FQHCsâ Scope of Project and the eligibility of TMH providers for indemnity coverage under the Federal Tort Claims Act.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/149739/1/jrh12323_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/149739/2/jrh12323.pd

Routine Outcomes Monitoring to Support Improving Care for Schizophrenia: Report from the VA Mental Health QUERI

In schizophrenia, treatments that improve outcomes have not been reliably disseminated. A major barrier to improving care has been a lack of routinely collected outcomes data that identify patients who are failing to improve or not receiving effective treatments. To support high quality care, the VA Mental Health QUERI used literature review, expert interviews, and a national panel process to increase consensus regarding outcomes monitoring instruments and strategies that support quality improvement. There was very good consensus in the domains of psychotic symptoms, side-effects, drugs and alcohol, depression, caregivers, vocational functioning, and community tenure. There are validated instruments and assessment strategies that are feasible for quality improvement in routine practice