Rates and predictors of brief intervention for women veterans returning from recent wars: Examining gaps in service delivery for unhealthy alcohol use.

BACKGROUND: Approximately one in four women veterans accessing the Department of Veterans Affairs (VA) engage in unhealthy alcohol use. There is substantial evidence for gender-sensitive screening (AUDIT-C = 3) and brief intervention (BI) to reduce risks associated with unhealthy alcohol use in women veterans; however, VA policies and incentives remain gender-neutral (AUDIT-C = 5). Women veterans who screen positive at lower-risk-level alcohol use (AUDIT-C = 3 or 4) may screen out and therefore not receive BI. This study aimed to examine gaps in implementation of BI practice for women veterans through identifying rates of BI at different alcohol risk levels (AUDIT-C = 3-4; =5-7; =8-12), and the role of alcohol risk level and other factors in predicting receipt of BI. METHODS: From administrative data (2010-2016), we drew a sample of women veterans returning from recent wars who accessed outpatient and/or inpatient care. Of 869 women veterans, 284 screened positive for unhealthy alcohol use at or above a gender-sensitive cut-point (AUDIT-C ≥ 3). We used chart review methods to abstract variables from the medical record and then employed logistic regression comparing women veterans who received BI at varying alcohol risk levels to those who did not. RESULTS: While almost 60% of the alcohol positive-risk sample received BI, among the subset of women veterans who screened positive for lower-risk alcohol use (57%; AUDIT-C = 3 or 4) only 34% received BI. Nurses in primary care programs were less likely to deliver BI than other types of clinicians (e.g., physicians, psychologists, social workers) in mental health programs; further, nurses in women's health programs were less likely to deliver BI than other types of clinicians in mixed-gender programs; Those women veterans with more medical problems were no more likely to receive BI than those with fewer medical problems. CONCLUSIONS: Given that women veterans are a rapidly growing veteran population and a VA priority, underuse of BI for women veterans screening positive at a lower-risk level and those with more medical comorbidities requires attention, as do potential gaps in service delivery of BI in primary care and women's health programs. Women veterans health and well-being may be improved by tailoring screening for a younger cohort of women veterans at high-risk for, or with co-occurring disorders and then training providers in best practices for BI implementation.

Implementing and Sustaining Team-Based Telecare for Bipolar Disorder: Lessons Learned from a Model-Guided, Mixed Methods Analysis.

BACKGROUND: Telemental health interventions have empirical support from clinical trials and structured demonstration projects. However, their implementation and sustainability under less structured clinical conditions are not well demonstrated. INTRODUCTION: We conducted a follow-up analysis of the implementation and sustainability of a clinical video teleconference-based collaborative care model for individuals with bipolar disorder treated in the Department of Veterans Affairs to (a) characterize the extent of implementation and sustainability of the program after its establishment and (b) identify barriers and facilitators to implementation and sustainability. MATERIALS AND METHODS: We conducted a mixed methods program evaluation, assessing quantitative aspects of implementation according to the Reach, Efficacy, Adoption, Implementation, and Maintenance implementation framework. We conducted qualitative analysis of semistructured interviews with 16 of the providers who submitted consults, utilizing the Integrated Promoting Action on Research Implementation in the Health Services implementation framework. RESULTS: The program demonstrated linear growth in sites (n = 35) and consults (n = 915) from late 2011 through mid-2016. Site-based analysis indicated statistically significant sustainability beyond the first year of operation. Qualitative analysis identified key facilitators, including consult content, ease of use via electronic health record, and national infrastructure. Barriers included availability of telehealth space, equipment, and staff at the sites, as well as the labor-intensive nature of scheduling. DISCUSSION: The program achieved continuous growth over almost 5 years due to (1) successfully filling a need perceived by providers, (2) developing in a supportive context, and (3) receiving effective facilitation by national and local infrastructure. CONCLUSION: Clinical video teleconference-based interventions, even multicomponent collaborative care interventions for individuals with complex mental health conditions, can grow vigorously under appropriate conditions.

Team-Based Telecare for Bipolar Disorder.

INTRODUCTION: Numerous randomized controlled trials indicate that collaborative chronic care models improve outcome in a wide variety of mental health conditions, including bipolar disorder. However, their spread into clinical practice is limited by the need for a critical mass of patients and specialty providers in the same locale. Clinical videoconferencing has the potential to overcome these geographic limitations. MATERIALS AND METHODS: A videoconference-based collaborative care program for bipolar disorder was implemented in the Department of Veterans Affairs. Program evaluation assessed experience with the first 400 participants, guided by five domains specified by the American Telemedicine Association: treatment engagement, including identification of subpopulations at risk for not being reached; participation in treatment; clinical impact; patient safety; and quality of care. RESULTS: Participation rates resembled those for facility-based collaborative care. No participant characteristics predicted nonengagement. Program completers demonstrated significant improvements in several clinical indices, without evidence of compromise in patient safety. Guideline-based quality of care assessment after 1 year indicated increased lithium use, decreased antidepressant use, and increased prazosin use in individuals with comorbid post-traumatic stress disorder, but no impact on already high rates of lithium serum level monitoring. DISCUSSION: Clinical videoconferencing can extend the reach of collaborative care models for bipolar disorder. The next step involves assessment of the videoconference-based collaborative care for other serious mental health conditions, investigation of barriers and facilitators of broad implementation of the model, and evaluation of the business case for deployment and sustainability in clinical practice.

Inpatient hospitalization for substance use disorders one year after residential rehabilitation: predictors among US veterans.

BACKGROUND: The Veterans Health Administration (VHA) is among the principal providers of the full range of substance use disorders (SUD) treatment in the US. Relatively little, however, is known about patient outcomes after residential rehabilitation. OBJECTIVE: To identify predictors of SUD inpatient hospitalization (primarily medically managed detoxification) in the year after SUD residential rehabilitation among US veterans. METHODS: Medical records of 64 veterans admitted to one of two residential rehabilitation programs in the Northeast during the first quarter of FY 2012 were abstracted. Data included demographic, clinical, and treatment (inpatient and outpatient) information for the year before and after residential rehabilitation. Annual rates of treatment utilization were compared. RESULTS: The veterans (mean age, 48.2 years) used substances for a mean of 27.6 years. Alcohol was the primary drug of choice (69%). More than half had SUD inpatient hospitalizations in the year before (79%) and after (53%) residential rehabilitation; SUD inpatient admission occurred an average of 64 days after discharge. According to the multivariate Cox regression model, the estimated risk of SUD inpatient hospitalization increased by 25% for each past year SUD inpatient hospitalization, decreased by 74% if there was no opiate use disorder diagnosis, and decreased by 2% for each day increase in residential rehabilitation length of stay when extent of service connected disability, marital status, and days since last SUD inpatient admission are taken into account. CONCLUSIONS: Risk factors for SUD inpatient hospitalization after residential rehabilitation have been identified and, if confirmed, may represent opportunities for targeted program change.

A controlled family study of cannabis users with and without psychosis.

BACKGROUND: Cannabis is one of the most highly abused illicit drugs in the world. Several studies suggest a link between adolescent cannabis use and schizophrenia. An understanding of this link would have significant implications for legalization of cannabis and its medicinal value. The present study aims to determine whether familial morbid risk for schizophrenia is the crucial factor that underlies the association of adolescent cannabis use with the development of schizophrenia. METHODS: Consecutively obtained probands were recruited into four samples: sample 1: 87 non-psychotic controls with no drug use; sample 2: 84 non-psychotic controls with cannabis use; sample 3: 32 patients with a schizophrenia spectrum psychosis with no drug use; sample 4: 76 patients with schizophrenia spectrum psychosis with cannabis use. All cannabis using subjects used this drug during adolescence, and no other substance, with the exception of alcohol. Structured interviews of probands and family informants were used to obtain diagnostic information about probands and all their known relatives. RESULTS: There was an increased morbid risk for schizophrenia in relatives of the cannabis using and non-using patient samples compared with their respective non-psychotic control samples (p=.002, p<.001 respectively). There was no significant difference in morbid risk for schizophrenia between relatives of the patients who use or do not use cannabis (p=.43). CONCLUSIONS: The results of the current study suggest that having an increased familial morbid risk for schizophrenia may be the underlying basis for schizophrenia in cannabis users and not cannabis use by itself.

Association between age at onset of psychosis and age at onset of cannabis use in non-affective psychosis.

INTRODUCTION: Several studies have associated cannabis use with the development of schizophrenia. However, it has been difficult to disentangle the effects of cannabis from that of other illicit drugs, as previous studies have not evaluated pure cannabis users. To test whether the onset of cannabis use had an effect on the initiation of psychosis, we examined the time relationship between onset of use and onset of psychosis, restricting our analysis to a cohort of individuals who only used cannabis and no other street drugs. METHODS: Fifty-seven subjects with non-affective psychoses who used cannabis prior to developing a psychosis were interviewed using the Diagnostic Interview for Genetic Studies (DIGS). The Family Interview for Genetic Studies (FIGS) was also used to interview a family informant about psychiatric illness in the patient and the entire family. Multiple linear regression techniques were used to estimate the association between variables. RESULTS: After adjusting for potential confounding factors such as sex, age, lifetime diagnosis of alcohol abuse or dependence, and family history of schizophrenia, the age at onset of cannabis was significantly associated with age at onset of psychosis (ß=0.4, 95% CI=0.1-0.7, p=0.004) and age at first hospitalization (ß=0.4, 95% CI=0.1-0.8, p=0.008). The mean time between beginning to use cannabis and onset of psychosis was 7.0±4.3. Age at onset of alcohol use was not associated with age at onset of psychosis or age at first hospitalization. CONCLUSION: Age at onset of cannabis is directly associated with age at onset of psychosis and age at first hospitalization. These associations remain significant after adjusting for potential confounding factors and are consistent with the hypothesis that cannabis could cause or precipitate the onset of psychosis after a prolonged period of time.

Correlates to the variable effects of cannabis in young adults: a preliminary study.

BACKGROUND: Cannabis use can frequently have adverse affects in those that use it and these can be amplified by various characteristics of an individual, from demographic and environmental variations to familial predisposition for mental illnesses. METHODS: The current study of 100 individuals, who were cannabis users during their adolescence and may still be users, was a survey of the self perceived effects of cannabis and their correlates. A reliable family member was also interviewed for determination of family history of various major mental illnesses and substance use. RESULTS: As many as 40% of cannabis users had paranoid feelings (suspiciousness) when using cannabis, although the most frequent effect was feeling relaxed (46%). Having a familial background for mental illnesses such as depression or schizophrenia did not determine the effects of cannabis nor its pattern of use, although the number of subjects with such a history was small. An age at which an individual began using cannabis did have an effect on how heavily it was used and the heavier the cannabis use, the more likely the individual was also to have had psychotic symptoms after use. There were no sex differences in effects of cannabis. These results are tempered by the reliance on self-report for many of the variables ascertained. CONCLUSION: Cannabis can frequently have negative effects in its users, which can be amplified by certain demographic and/or psychosocial factors. Thus, users with a specific profile may be at a higher risk of unpleasant effects from cannabis use and caution should be noted when cannabis is administered to young people for medicinal purposes.