Collaborative chronic care models for mental health conditions: cumulative meta-analysis and metaregression to guide future research and implementation

Key Components of Effective Pediatric Integrated Mental Health Care Models: A Systematic Review

IMPORTANCE

Emerging evidence suggests that integrated care models are associated with improved mental health care access and outcomes for youths (children ≤12 years and adolescents 12-21 years) served in pediatric primary care settings. However, the key components of these complex models remain unexamined.

OBJECTIVE

To identify and describe the key components of effective pediatric integrated mental health care models.

EVIDENCE REVIEW

The PubMed, Embase, PsycINFO, and Cochrane Controlled Register of Trials electronic databases were searched for relevant peer-reviewed articles published between January 1, 1985, and April 30, 2019. Articles were restricted to those published in the English language. Eligible articles reported original data on youths 17 years or younger, implemented an integrated mental health care model in a pediatric primary care setting, and assessed the model's association with primary outcomes (eg, mental health symptom severity) and secondary outcomes (eg, functional impairment and patient satisfaction). Articles that specified some degree of systematic coordination or collaboration between primary care and mental health professionals were included in the final review. Two independent reviewers extracted data on study design, model type, model components, level of integration, and outcomes. Study quality was assessed using the Jadad scale. Data were analyzed between January 1, 2018, and May 31, 2019.

FINDINGS

Eleven randomized clinical trials involving 2190 participants were included. Three studies focused on youths with depression, 3 on youths with attention-deficit/hyperactivity disorder, and 5 on youths with behavioral disorders. Most studies (9 of 11) implemented either the collaborative care model (n = 3), a slightly modified version of the collaborative care model (n = 2), or colocated care (n = 4). The most commonly reported components of effective pediatric integrated mental health care models were population-based care, measurement-based care, and delivery of evidence-based mental health services; all 3 components were present in studies reporting clinical improvement of mental health symptoms. Other model components, such as treatment-to-target or team-based care, were common in studies reporting specific outcomes, such as functional impairment.

CONCLUSIONS AND RELEVANCE

This review is the first to date to systematically search and qualitatively synthesize information on the key components of effective pediatric integrated mental health care models. This knowledge may be especially useful for pediatric primary care administrators in the selection of an integrated care model for their setting.

External facilitators' perceptions of internal facilitation skills during implementation of collaborative care for mental health teams: a qualitative analysis informed by the i-PARIHS framework

Background

Facilitation is a key strategy that may contribute to successful implementation of healthcare innovations. In blended facilitation, external facilitators (EFs) guide and support internal facilitators (IFs) in directing implementation processes. Developers of the i-PARIHS framework propose that successful facilitation requires project management, team/process, and influencing/negotiating skills. It is unclear what IF skills are most important in real-world settings, which could inform recruitment and training efforts. As prior qualitative studies of IF skills have only interviewed IFs, the perspectives of their EF partners are needed. Furthermore, little is known regarding the distribution of implementation tasks between IFs and EFs, which could impact sustainability once external support is removed. In the context of an implementation trial, we therefore: 1) evaluated IFs’ use of i-PARIHS facilitation skills, from EFs’ perspectives; 2) identified attributes of IFs not encompassed within the i-PARIHS skills; and 3) investigated the relative contributions of IFs and EFs during facilitation.

Methods

Analyses were conducted within a hybrid type II trial utilizing blended facilitation to implement the collaborative chronic care model within mental health teams of nine VA medical centers. Each site committed one team and an IF to weekly process design meetings and additional implementation activities over 12 months. Three EFs worked with three sites each. Following study completion, the EFs completed semi-structured qualitative interviews reflecting on the facilitation process, informed by the i-PARIHS facilitation skill areas. Interviews were analyzed via directed content analysis.

Results

EFs emphasized the importance of IFs having strong project management, team/process, and influencing/negotiating skills. Prior experience in these areas and a mental health background were also benefits. Personal characteristics (e.g., flexible, assertive) were described as critical, particularly when faced with conflict. EFs discussed the importance of clear delineation of EF/IF roles, and the need to shift facilitation responsibilities to IFs.

Conclusions

Key IF skills, according to EFs, are aligned with i-PARIHS recommendations, but IFs’ personal characteristics were also emphasized as important factors. Findings highlight traits to consider when selecting IFs and potential training areas (e.g., conflict management). EFs and IFs must determine an appropriate distribution of facilitation tasks to ensure long-term sustainability of practices.

Trial registration

Clinicaltrials.gov, September 7, 2015, #NCT02543840.

Comparing variations in implementation processes and influences across multiple sites: What works, for whom, and how?

Traditional analyses and interpretation of controlled trials rely on measures of central tendency (e.g., mean findings for treatment versus control) to detect treatment effects. These trial designs therefore emphasize homogeneity of results, with variations within the experimental or control groups treated as error to be controlled for or ignored. For implementation trials, however, heterogeneity of results is an expected result to be explored rather than an imperfection to be minimized. Thus, many implementation trials seek to understand not only "Does it work?" but also "What works, for whom, and how?" Hence, mixed quantitative-qualitative methods that can capitalize on heterogeneity are needed to (i) comprehensively identify factors that influence the implementation process and (ii) understand their impact on implementation outcomes. This paper outlines the matrixed multiple case study approach, which allows for understanding how these processes and influences similarly or differently interact with outcomes across multiple implementation sites. We provide an example of this approach using data from a multi-site trial that tested the implementation of the evidence-based Collaborative Chronic Care Model at nine US Department of Veterans Affairs medical centers.

Coordinating across correctional, community, and VA systems: applying the Collaborative Chronic Care Model to post-incarceration healthcare and reentry support for veterans with mental health and substance use disorders

BACKGROUND

Between 12,000 and 16,000 veterans leave incarceration annually. As is known to be the case for justice-involved populations in general, mental health disorders (MHDs) and substance use disorders (SUDs) are highly prevalent among incarcerated veterans, and individuals with MHDs and SUDs reentering the community are at increased risk of deteriorating health and recidivism. We sought to identify opportunities to better coordinate care/services across correctional, community, and VA systems for reentry veterans with MHDs and SUDs.

METHODS

We interviewed 16 veterans post-incarceration and 22 stakeholders from reentry-involved federal/state/community organizations. We performed a grounded thematic analysis, and recognizing consistencies between the emergent themes and the evidence-based Collaborative Chronic Care Model (CCM), we mapped findings to the CCM's elements - work role redesign (WRR), patient self-management support (PSS), provider decision support (PDS), clinical information systems (CIS), linkages to community resources (LCR), and organizational/leadership support (OLS).

RESULTS

Emergent themes included (i) WRR - coordination challenges among organizations involved in veterans' reentry; (ii) PSS - veterans' fear of reentering society; (iii) PDS - uneven knowledge by reentry support providers regarding available services when deciding which services to connect a reentry veteran to and whether he/she is ready and/or willing to receive services; (iv) CIS - lapses in MHD/SUD medications between release and a first scheduled health care appointment, as well as challenges in transfer of medical records; (v) LCR - inconsistent awareness of existing services and resources available across a disparate reentry system; and (vi) OLS - reentry plans designed to address only immediate transitional needs upon release, which do not always prioritize MHD/SUD needs.

CONCLUSIONS

Applying the CCM to coordinating cross-system health care and reentry support may contribute to reductions in mental health crises and overdoses in the precarious first weeks of the reentry period.

The effects of integrating behavioral health into primary care for low-income children

OBJECTIVE

To evaluate the impact of TEAM UP-an initiative that fully integrates behavioral health services into pediatric primary care in three Boston-area Community Health Centers (CHCs)-on health care utilization and costs.

DATA SOURCES

2014-2017 claims data on continuously enrolled children from a Massachusetts Medicaid managed care plan.

STUDY DESIGN

We used a difference-in-difference approach with inverse probability of treatment weights to compare outcomes in children receiving primary care at TEAM UP CHCs versus comparison site CHCs, in the pre (2014-2016q2)- versus post (2016q3-2017)-intervention periods. Utilization outcomes included emergency department visits, inpatient admissions, primary care visits, and outpatient/professional visits (all cause and those with mental health (MH) diagnoses). Cost outcomes included total cost of care (inpatient, outpatient, professional, pharmacy). We further assessed differential effects by baseline MH diagnosis.

PRINCIPAL FINDINGS

After 1.5 years, TEAM UP was associated with a relative increase in the rate of primary care visits (IRR = 1.15, 95% CI 1.04-1.27, or 115 additional visits/1000 patients/quarter), driven by children with a MH diagnosis at baseline. There was no significant change in avoidable health care utilization or cost.

CONCLUSIONS

Expanding the TEAM UP behavioral health integration model to other sites has the potential to improve primary care engagement in low-income children with MH needs.

Perspectives and Practice in the Identification and Treatment of Opioid Use, Alcohol Use, and Depressive Disorders

OBJECTIVE

Little research has focused on the treatment of adults with substance use disorders in primary care despite the high occurrence, morbidity, and mortality associated with these disorders.

METHODS

An electronic survey was administered to primary care providers in a large health system to assess screening and treatment practices and comfort managing opioid use, alcohol use, and depressive disorders. A total of 146 providers completed the survey (32%).

RESULTS

Providers were significantly less likely to screen for or treat opioid use disorders and alcohol use disorders, compared with depression. Providers reported feeling significantly less confident, less prepared, less expected to treat, less sure of the appropriateness of treating, and less able to navigate community resources in the treatment of opioid and alcohol use disorders, compared with depression.

CONCLUSIONS

Given the preponderance of substance use disorders in primary care, increased attention to equipping primary care providers to treat these conditions is warranted.

Measurement of unnecessary psychiatric readmissions: a scoping review protocol

INTRODUCTION

Care transition for patients being discharged from inpatient mental healthcare to outpatient settings is a growing focus for healthcare delivery systems. Many studies of this inpatient to outpatient transition use the rate of postdischarge readmissions as a patient-level outcome measure to assess the quality of transition. However, it is unclear how studies define the measure, and whether there is a shared understanding by the field regarding which definition is appropriate for which circumstances. This scoping review thus aims to examine how published studies have approached measuring unnecessary psychiatric readmissions.

METHODS AND ANALYSIS

The scoping review will be structured according to Levac et al's enhancement to Arksey and O'Malley's framework for conducting scoping reviews. The protocol is registered through the Open Science Framework (https://osf.io/5nxuc/). We will search literature databases for studies that (1) are about care transition processes associated with unnecessary psychiatric readmissions and (2) specify use of at least one readmission time interval (ie, time period since previous discharge from inpatient care, within which a hospitalisation can be considered a readmission). Screening and review of articles will be carried out by two reviewers, first independently then involving a third reviewer as needed for consensus. We will assess review findings through both tabular and thematic analyses, noting prevalent trends in study characteristics and emergent themes across our reviewed studies.

ETHICS AND DISSEMINATION

This work comes at a time of heightened interest by many mental healthcare systems in high-quality practices that structure their care processes towards effective inpatient to outpatient transitions. Findings will support the systems' careful examination of alternative potential transitional interventions, helping to ensure that their often limited quality enhancement resources are put to optimal use. We will focus on disseminating our findings to the healthcare community through strong communication infrastructures and connections with health system stakeholders that our multidisciplinary study consultants will foster throughout this study.

Change in Patient Outcomes After Augmenting a Low-level Implementation Strategy in Community Practices That Are Slow to Adopt a Collaborative Chronic Care Model: A Cluster Randomized Implementation Trial

BACKGROUND

Implementation strategies are essential for promoting the uptake of evidence-based practices and for patients to receive optimal care. Yet strategies differ substantially in their intensity and feasibility. Lower-intensity strategies (eg, training and technical support) are commonly used but may be insufficient for all clinics. Limited research has examined the comparative effectiveness of augmentations to low-level implementation strategies for nonresponding clinics.

OBJECTIVES

To compare 2 augmentation strategies for improving uptake of an evidence-based collaborative chronic care model (CCM) on 18-month outcomes for patients with depression at community-based clinics nonresponsive to lower-level implementation support.

RESEARCH DESIGN

Providers initially received support using a low-level implementation strategy, Replicating Effective Programs (REP). After 6 months, nonresponsive clinics were randomized to add either external facilitation (REP+EF) or external and internal facilitation (REP+EF/IF).

MEASURES

The primary outcome was patient 12-item short form survey (SF-12) mental health score at month 18. Secondary outcomes were patient health questionnaire (PHQ-9) depression score at month 18 and receipt of the CCM during months 6 through 18.

RESULTS

Twenty-seven clinics were nonresponsive after 6 months of REP. Thirteen clinics (N=77 patients) were randomized to REP+EF and 14 (N=92) to REP+EF/IF. At 18 months, patients in the REP+EF/IF arm had worse SF-12 [diff, 8.38; 95% confidence interval (CI), 3.59-13.18] and PHQ-9 scores (diff, 1.82; 95% CI, -0.14 to 3.79), and lower odds of CCM receipt (odds ratio, 0.67; 95% CI, 0.30-1.49) than REP+EF patients.

CONCLUSIONS

Patients at sites receiving the more intensive REP+EF/IF saw less improvement in mood symptoms at 18 months than those receiving REP+EF and were no more likely to receive the CCM. For community-based clinics, EF augmentation may be more feasible than EF/IF for implementing CCMs.

Helpful approaches to older people experiencing mental health problems: a critical review of models of mental health care

Despite growing concerns for the mental health of the older generation most studies focus on mental health care for younger people and there is a lack of knowledge about helpful treatment approaches and models of care for older people. Therefore, the purpose of this review was to answer the question what health care approaches are most helpful for older people experiencing mental health problems. Databases from 2000 to July 2017 were searched with focus on outcome studies, experts' opinions and treatment descriptions. Critical interpretive synthesis was used to analyse and interpret the findings. Four main models of care were found: the medical-psychiatric model which mostly focuses on antipsychotic medication for the treatment of symptoms. Psychotherapeutic and social interventions take into consideration the psychosocial perspectives of mental health problems, but little research has been done on their lasting effect. Research indicates that psychotherapy needs to be adapted to the special needs of older people. Few old people have access to psychotherapy which limits its usefulness. Holistic or integrated models of health care have emerged in recent years. These models focus on both physical and psychosocial well-being and have shown promising outcomes. To reduce antipsychotic medication older people need to be given better access to psychotherapy and social interventions. This presupposes training health care professionals in such treatment methods. The holistic models need to be developed and studied further and given high priority in health care policy.

Self-Management of Depression: Beyond the Medical Model

Self-management is increasingly becoming the standard of care among people with chronic medical conditions. Its application to depression is mostly extrapolated from the paradigms used for nonpsychiatric medical illnesses. Such an approach falls short in addressing strength-based interventions that foster recovery in individuals with depression. This article describes a new paradigm of self-management, which is in line with the recovery model, is patient-centered, and goes beyond amelioration of clinical symptoms.

A method to reduce imbalance for site-level randomized stepped wedge implementation trial designs

BACKGROUND

Controlled implementation trials often randomize the intervention at the site level, enrolling relatively few sites (e.g., 6-20) compared to trials that randomize by subject. Trials with few sites carry a substantial risk of an imbalance between intervened (cases) and non-intervened (control) sites in important site characteristics, thereby threatening the internal validity of the primary comparison. A stepped wedge design (SWD) staggers the intervention at sites over a sequence of times or time waves until all sites eventually receive the intervention. We propose a new randomization method, sequential balance, to control time trend in site allocation by minimizing sequential imbalance across multiple characteristics. We illustrate the new method by applying it to a SWD implementation trial.

METHODS

The trial investigated the impact of blended internal-external facilitation on the establishment of evidence-based teams in general mental health clinics in nine US Department of Veterans Affairs medical centers. Prior to randomization to start time, an expert panel of implementation researchers and health system program leaders identified by consensus a series of eight facility-level characteristics judged relevant to the success of implementation. We characterized each of the nine sites according to these consensus features. Using a weighted sum of these characteristics, we calculated imbalance scores for each of 1680 possible site assignments to identify the most sequentially balanced assignment schemes.

RESULTS

From 1680 possible site assignments, we identified 34 assignments with minimal imbalance scores, and then randomly selected one assignment by which to randomize start time. Initially, the mean imbalance score was 3.10, but restricted to the 34 assignments, it declined to 0.99.

CONCLUSIONS

Sequential balancing of site characteristics across groups of sites in the time waves of a SWD strengthens the internal validity of study conclusions by minimizing potential confounding.

TRIAL REGISTRATION

Registered at ClinicalTrials.gov as clinical trials # NCT02543840 ; entered 9/4/2015.

Effectiveness of Implementing a Collaborative Chronic Care Model for Clinician Teams on Patient Outcomes and Health Status in Mental Health: A Randomized Clinical Trial

IMPORTANCE

Collaborative chronic care models (CCMs) have extensive randomized clinical trial evidence for effectiveness in serious mental illnesses, but little evidence exists regarding their feasibility or effect in typical practice conditions.

OBJECTIVE

To determine the effectiveness of implementation facilitation in establishing the CCM in mental health teams and the impact on health outcomes of team-treated individuals.

DESIGN, SETTING, AND PARTICIPANTS

This quasi-experimental, randomized stepped-wedge implementation trial was conducted from February 2016 through February 2018, in partnership with the US Department of Veterans Affairs (VA) Office of Mental Health and Suicide Prevention. Nine facilities were enrolled from all VA facilities in the United States to receive CCM implementation support. All veterans (n = 5596) treated by designated outpatient general mental health teams were included for hospitalization analyses, and a randomly selected sample (n = 1050) was identified for health status interviews. Individuals with dementia were excluded. Clinicians (n = 62) at the facilities were surveyed, and site process summaries were rated for concordance with the CCM process. The CCM implementation start time was randomly assigned across 3 waves. Data analysis of this evaluable population was performed from June to September 2018.

INTERVENTIONS

Internal-external facilitation, combining a study-funded external facilitator and a facility-funded internal facilitator working with a designated team for 1 year.

MAIN OUTCOMES AND MEASURES

Facilitation was hypothesized to be associated with improvements in both implementation and intervention outcomes (hybrid type II trial). Implementation outcomes included the clinician Team Development Measure (TDM) and proportion of CCM-concordant team care processes. The study was powered for the primary health outcome, mental component score (MCS). Hospitalization rate was derived from administrative data.

RESULTS

The veteran population (n = 5596) included 881 women (15.7%), and the mean (SD) age was 52.2 (14.5) years. The interviewed sample (n = 1050) was similar but was oversampled for women (n = 210 [20.0%]). Facilitation was associated with improvements in TDM subscales for role clarity (53.4%-68.6%; δ = 15.3; 95% CI, 4.4-26.2; P = .01) and team primacy (50.0%-68.6%; δ = 18.6; 95% CI, 8.3-28.9; P = .001). The percentage of CCM-concordant processes achieved varied, ranging from 44% to 89%. No improvement was seen in veteran self-ratings, including the primary outcome. In post hoc analyses, MCS improved in veterans with 3 or more treated mental health diagnoses compared with others (β = 5.03; 95% CI, 2.24-7.82; P < .001). Mental health hospitalizations demonstrated a robust decrease during facilitation (β = -0.12; 95% CI, -0.16 to -0.07; P < .001); this finding withstood 4 internal validity tests.

CONCLUSIONS AND RELEVANCE

Implementation facilitation that engages clinicians under typical practice conditions can enhance evidence-based team processes; its effect on self-reported overall population health status was negligible, although health status improved for individuals with complex conditions and hospitalization rate declined.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02543840.

Randomized Controlled Trial of a Collaborative Care Intervention for Mood Disorders by a National Commercial Health Plan

OBJECTIVE

Few individuals with mood disorders have access to evidence-based collaborative chronic care models (CCMs) because most patients are seen in small-group practices (<20 providers) with limited capacity to deliver CCMs. In this single-blind randomized controlled trial, we determined whether a CCM delivered nationally in a U.S. health plan improved 12-month outcomes among enrollees with mood disorders compared with usual care.

METHODS

Aetna insurance enrollees (N=238), mostly females (66.1%) with a mean age of 41.1 years, who were recently hospitalized for unipolar major depression or bipolar disorder provided informed consent, completed baseline assessments, and were randomly assigned to usual care or CCM. The CCM included 10 sessions of the Life Goals self-management program and brief contacts by phone by a care manager to determine symptom status. Primary outcomes were changes over 12 months in depression symptoms (nine-item Patient Health Questionnaire [PHQ-9]) and mental health-related quality of life (Short Form-12).

RESULTS

Adjusted mean PHQ-9 scores were lower by 2.34 points (95% confidence level [CL]=-4.18 to -0.50, p=0.01), indicating improved symptoms, and adjusted mean SF-12 mental health scores were higher by 3.21 points (CL=-.97 to 7.38, p=0.10), indicating better quality of life, among participants receiving CCM versus usual care.

CONCLUSIONS

Individuals receiving CCM compared with usual care had improved clinical outcomes, although substantial attrition may limit the impact of health plan-level delivery of CCMs. Further research on the use of health plan-level interventions, such as CCMs, as alternatives to practice-based models is warranted.

Link-me: Protocol for a randomised controlled trial of a systematic approach to stepped mental health care in primary care

Primary care in Australia is undergoing significant reform, with a particular focus on cost-effective tailoring of mental health care to individual needs. Link-me is testing whether a patient-completed Decision Support Tool (DST), which predicts future severity of depression and anxiety symptoms and triages individuals into care accordingly, is clinically effective and cost-effective relative to usual care. The trial is set in general practices, with English-speaking patients invited to complete eligibility screening in their general practitioner's waiting room. Eligible and consenting patients will then complete the DST assessment and are randomised and stratified according to predicted symptom severity. Participants allocated to the intervention arm will receive feedback on DST responses, select treatment priorities, assess motivation to change, and receive a severity-matched treatment recommendation (information about and links to low intensity services for those with mild symptoms, or assistance from a specially trained health professional (care navigator) for those with severe symptoms). All patients allocated to the comparison arm will receive usual GP care plus attention control. Primary (psychological distress) and secondary (depression, anxiety, quality of life, days out of role) outcomes will be assessed at 6 and 12 months. Differences in outcome means between trial arms both across and within symptom severity group will be examined using intention-to-treat analyses. Within trial and modelled economic evaluations will be conducted to determine the value for money of credentials of Link-me. Findings will be reported to the Federal Government to inform how mental health services across Australia are funded and delivered in the future.

Better care through an optimized mental health services continuum (Eastern Townships, Québec, Canada): A systematic and multisource literature review

INTRODUCTION

In 2014, the health authorities of the Eastern Townships (Québec, Canada) commissioned an evaluation of the mental health admission system for adults (GASMA) to identify the best GASMA organizational or structural elements and optimize the mental health services continuum.

METHODS

To develop better services, seven indicators (ie, accessibility to services, integration of levels of services, user satisfaction, guidance and management time, evaluation tools, professional composition, and interprofessional collaboration) were examined through four evaluation questions. A three-step systematic and multisource evaluation was realized. A systematic review of the scientific and gray literature was performed. This evaluation also included key informant opinions to contextualize results from this review.

RESULTS

Results from 91 scientific articles, 40 gray literature documents, and 10 interviews highlighted determinants and barriers associated with the examined indicators. From these results, 24 preliminary recommendations were formulated and discussed in a steering committee. These recommendations were then weighted and validated. This served to formulate three final recommendations.

CONCLUSION

To optimize the regional mental health services continuum, stakeholders should (1) implement a single-window access for adults with mental health needs, (2) develop alternative services based on users' needs, and (3) test the effectiveness of new methods, initiatives, and tools.

Collaborative Care for Depression and Posttraumatic Stress Disorder: Evaluation of Collaborative Care Fidelity on Symptom Trajectories and Outcomes

BACKGROUND

Despite the growing consensus that collaborative care is effective, limited research has focused on the importance of collaborative care fidelity as it relates to mental health clinical outcomes.

OBJECTIVE

To assess the relationship of collaborative care fidelity on symptom trajectories and clinical outcomes among military service members enrolled in a multi-site randomized controlled trial for the treatment of depression and posttraumatic stress disorder (PTSD).

DESIGN

Study data for our analyses came from a two-parallel arm randomized trial that evaluated the effectiveness of a centralized collaborative care model compared to the existing collaborative care model for the treatment of PTSD and depression. All patients were included in the analyses to evaluate how longitudinal trajectories of PTSD and depression scores differed across various collaborative care fidelity groupings.

PARTICIPANTS

A total of 666 US Military Service members screening positive for probable PTSD or depression through primary care.

MAIN MEASURES

Disease registry data from a web-based clinical management support tool was used to measure collaborative care fidelity for patients enrolled in the trial. Participant depression and PTSD symptoms were collected independently from research survey assessments at four time points across the 1-year trial period. Treatment utilization records were acquired from the Military Health System administrative records to determine mental health service use.

KEY RESULTS

Consistent and late fidelity to the collaborative care model predicted an improving symptom trajectory over the course of treatment. This effect was more pronounced for patients with depression than for patients with PTSD.

CONCLUSIONS

Long-term fidelity to key collaborative care elements throughout care episodes may improve depression outcomes, particularly for patients with elevated symptoms. More controlled research is needed to further understand the influence of collaborative care fidelity on clinical outcomes.

TRIAL REGISTRATION

Clinicaltrials.gov Identifier NCT01492348.

Obesity, dyslipidemia and brain age in first-episode psychosis

INTRODUCTION

Obesity and dyslipidemia may negatively affect brain health and are frequent medical comorbidities of schizophrenia and related disorders. Despite the high burden of metabolic disorders, little is known about their effects on brain structure in psychosis. We investigated, whether obesity or dyslipidemia contributed to brain alterations in first-episode psychosis (FEP).

METHODS

120 participants with FEP, who were undergoing their first psychiatric hospitalization, had <24 months of untreated psychosis and were 18-35 years old and 114 controls within the same age range participated in the study. We acquired 3T brain structural MRI, fasting lipids and body mass index. We used machine learning trained on an independent sample of 504 controls to estimate the individual brain age of study participants and calculated the BrainAGE score by subtracting the chronological from the estimated brain age.

RESULTS

In a multiple regression model, the diagnosis of FEP (B = 1.15, SE B = 0.31, p < 0.001) and obesity/overweight (B = 0.92, SE B = 0.35, p = 0.008) were each additively associated with BrainAGE scores (R² = 0.22, F(3, 230) = 21.92, p < 0.001). BrainAGE scores were highest in participants with FEP and obesity/overweight (3.83 years, 95%CI = 2.35-5.31) and lowest in normal weight controls (-0.27 years, 95%CI = -1.22-0.69). LDL-cholesterol, HDL-cholesterol or triglycerides were not associated with BrainAGE scores.

CONCLUSIONS

Overweight/obesity may be an independent risk factor for diffuse brain alterations manifesting as advanced brain age already early in the course of psychosis. These findings raise the possibility that targeting metabolic health and intervening already at the level of overweight/obesity could slow brain ageing in FEP.

Exploring multi-level system factors facilitating educator training and implementation of evidence-based practices (EBP): a study protocol

BACKGROUND

This study examines how system-wide (i.e., region, district, and school) mechanisms such as leadership support, training requirements, structure, collaboration, and education affect the use of evidence-based practices (EBPs) in schools and how this affects the outcomes for students with autism spectrum disorder (ASD). Despite growing evidence for the positive effects of EBPs for ASD, these practices are not consistently or effectively used in schools. Although special education programs are mandated to use EBPs, there are very few evidence-based methods for selecting, implementing, and sustaining EBPs. Research focuses primarily on teacher training, without attention to contextual factors (e.g., implementation climate, attitudes toward EBPs, resource allocation, and social networks) that may impact outcomes. Using an implementation science framework, this project will prospectively examine relations between system-wide factors and teachers' use of EBPs and student education outcomes.

METHODS/DESIGN

Survey data will be collected from approximately 85 regional special education directors, 170 regional program specialists, 265 district special education directors, 265 behavior specialists, 925 school principals, 3538 special education teachers, and 2700 paraprofessionals. Administrative data for the students with ASD served by participating teachers will be examined. A total of 79 regional-, district-, and school-level personnel will also participate in social network interviews. Mixed methods, including surveys, administrative data, and observational checklists, will be used to gather in-depth information about system-wide malleable factors that relate to positive teacher implementation of EBPs and student outcomes. Multi-level modeling will be used to assess system-wide malleable factors related to EBP implementation which will be linked to the trainer, teacher, and student outcomes and examined based on moderators (e.g., district size, Special Education Local Plan Area structure, teachers' ASD experience). Finally, a dynamic social network approach will be used to map EBP-related connectivity across all levels of the system for selected regions. Dynamic network analysis will be used to gauge the degree to which and ways that EBP trainings, resources, and interventions are shared (or not shared) among school staff.

DISCUSSION

Results are expected to inform the development of system-wide interventions to improve the school-based implementation of EBPs for students with ASD.

Utilization of the Behavior Change Wheel framework to develop a model to improve cardiometabolic screening for people with severe mental illness

BACKGROUND

Individuals with severe mental illness (e.g., schizophrenia, bipolar disorder) die 10-25 years earlier than the general population, primarily from premature cardiovascular disease (CVD). Contributing factors are complex, but include systemic-related factors of poorly integrated primary care and mental health services. Although evidence-based models exist for integrating mental health care into primary care settings, the evidence base for integrating medical care into specialty mental health settings is limited. Such models are referred to as "reverse" integration. In this paper, we describe the application of an implementation science framework in designing a model to improve CVD outcomes for individuals with severe mental illness (SMI) who receive services in a community mental health setting.

METHODS

Using principles from the theory of planned behavior, focus groups were conducted to understand stakeholder perspectives of barriers to CVD risk factor screening and treatment identify potential target behaviors. We then applied results to the overarching Behavior Change Wheel framework, a systematic and theory-driven approach that incorporates the COM-B model (capability, opportunity, motivation, and behavior), to build an intervention to improve CVD risk factor screening and treatment for people with SMI.

RESULTS

Following a stepped approach from the Behavior Change Wheel framework, a model to deliver primary preventive care for people that use community mental health settings as their de facto health home was developed. The CRANIUM (cardiometabolic risk assessment and treatment through a novel integration model for underserved populations with mental illness) model focuses on engaging community psychiatrists to expand their scope of practice to become responsible for CVD risk, with significant clinical decision support.

CONCLUSION

The CRANIUM model was designed by integrating behavioral change theory and implementation theory. CRANIUM is feasible to implement, is highly acceptable to, and targets provider behavior change, and is replicable and efficient for helping to integrate primary preventive care services in community mental health settings. CRANIUM can be scaled up to increase CVD preventive care delivery and ultimately improve health outcomes among people with SMI served within a public mental health care system.

Target-D: a stratified individually randomized controlled trial of the diamond clinical prediction tool to triage and target treatment for depressive symptoms in general practice: study protocol for a randomized controlled trial

BACKGROUND

Depression is a highly prevalent and costly disorder. Effective treatments are available but are not always delivered to the right person at the right time, with both under- and over-treatment a problem. Up to half the patients presenting to general practice report symptoms of depression, but general practitioners have no systematic way of efficiently identifying level of need and allocating treatment accordingly. Therefore, our team developed a new clinical prediction tool (CPT) to assist with this task. The CPT predicts depressive symptom severity in three months' time and based on these scores classifies individuals into three groups (minimal/mild, moderate, severe), then provides a matched treatment recommendation. This study aims to test whether using the CPT reduces depressive symptoms at three months compared with usual care.

METHODS

The Target-D study is an individually randomized controlled trial. Participants will be 1320 general practice patients with depressive symptoms who will be approached in the practice waiting room by a research assistant and invited to complete eligibility screening on an iPad. Eligible patients will provide informed consent and complete the CPT on a purpose-built website. A computer-generated allocation sequence stratified by practice and depressive symptom severity group, will randomly assign participants to intervention (treatment recommendation matched to predicted depressive symptom severity group) or comparison (usual care plus Target-D attention control) arms. Follow-up assessments will be completed online at three and 12 months. The primary outcome is depressive symptom severity at three months. Secondary outcomes include anxiety, mental health self-efficacy, quality of life, and cost-effectiveness. Intention-to-treat analyses will test for differences in outcome means between study arms overall and by depressive symptom severity group.

DISCUSSION

To our knowledge, this is the first depressive symptom stratification tool designed for primary care which takes a prognosis-based approach to provide a tailored treatment recommendation. If shown to be effective, this tool could be used to assist general practitioners to implement stepped mental-healthcare models and contribute to a more efficient and effective mental health system.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry (ANZCTR 12616000537459 ). Retrospectively registered on 27 April 2016. See Additional file 1 for trial registration data.

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.

Closing the False Divide: Sustainable Approaches to Integrating Mental Health Services into Primary Care

Mental disorders account for 25% of all health-related disability worldwide. More patients receive treatment for mental disorders in the primary care sector than in the mental health specialty setting. However, brief visits, inadequate reimbursement, deficits in primary care provider (PCP) training, and competing demands often limit the capacity of the PCP to produce optimal outcomes in patients with common mental disorders. More than 80 randomized trials have shown the benefits of collaborative care (CC) models for improving outcomes of patients with depression and anxiety. Six key components of CC include a population-based approach, measurement-based care, treatment to target strategy, care management, supervision by a mental health professional (MHP), and brief psychological therapies. Multiple trials have also shown that CC for depression is equally or more cost-effective than many of the current treatments for medical disorders. Factors that may facilitate the implementation of CC include a more favorable alignment of medical and mental health services in accountable care organizations and patient-centered medical homes; greater use of telecare as well as automated outcome monitoring; identification of patients who might benefit most from CC; and systematic training of both PCPs and MHPs in integrated team-based care.

Care Management Processes Used Less Often For Depression Than For Other Chronic Conditions In US Primary Care Practices

Primary care physicians play an important role in the diagnosis and management of depression. Yet little is known about their use of care management processes for depression. Using national survey data for the period 2006-13, we assessed the use of five care management processes for depression and other chronic illnesses among primary care practices in the United States. We found significantly less use for depression than for asthma, congestive heart failure, or diabetes in 2012-13. On average, practices used fewer than one care management process for depression, and this level of use has not changed since 2006-07, regardless of practice size. In contrast, use of diabetes care management processes has increased significantly among larger practices. These findings may indicate that US primary care practices are not well equipped to manage depression as a chronic illness, despite the high proportion of depression care they provide. Policies that incentivize depression care management, including additional quality metrics, should be considered.

Consultations in general practices with and without mental health nurses: an observational study from 2010 to 2014

OBJECTIVES

To investigate care for patients with psychological or social problems provided by mental health nurses (MHNs), and by general practitioners (GPs) with and without MHNs.

DESIGN

An observational study with consultations recorded by GPs and MHNs.

SETTING

Data were routinely recorded in 161-338 Dutch general practices between 2010 and 2014.

PARTICIPANTS

All patients registered at participating general practices were included: 624 477 patients in 2010 to 1 392 187 patients in 2014.

OUTCOME MEASURES

We used logistic and Poisson multilevel regression models to test whether GPs recorded more patients with at least one consultation for psychological or social problems and to analyse the number of consultations over a 5-year time period. We examined the additional effect of an MHN in a practice, and tested which patient characteristics predicted transferral from GPs to MHNs.

RESULTS

Increasing numbers of patients with psychological or social problems visit general practices. Increasing numbers of GPs collaborate with an MHN. GPs working in practices with an MHN record as many consultations per patient as GPs without an MHN, but they record slightly more patients with psychological or social problems (OR=1.05; 95% CI 1.02 to 1.08). MHNs most often treat adult female patients with common psychological symptoms such as depressive feelings.

CONCLUSIONS

MHNs do not seem to replace GP care, but mainly provide additional long consultations. Future research should study to what extent collaboration with an MHN prevents patients from needing specialised mental healthcare.

Evaluation of HCV treatment in people who actively inject drugs

Aim: HCV treatment in people who actively inject drugs (PWID) (active PWID) is sometimes withheld. We propose that active PWID can be treated for HCV in the right setting. Methods: HCV-infected active PWID were evaluated at a multidisciplinary clinic in an observational study. The primary end point was a sustained virologic response following HCV therapy. Results: We included 40 active PWID, of which 63% used heroin, 70% used cocaine and 37% received all-oral regimens. With a mean follow-up of 570 days, 78% subjects achieved sustained virologic response (93% on all-oral regimens; p < 0.05), with no recurrent viremia. Conclusion: Active PWID can be effectively treated for HCV, especially with all-oral regimens and rates of recurrent viremia can be reduced in a multidisciplinary healthcare setting.

Behavioral Health Services in the Changing Landscape of Private Health Plans

OBJECTIVE

Health plans play a key role in facilitating improvements in population health and may engage in activities that have an impact on access, cost, and quality of behavioral health care. Although behavioral health care is becoming more integrated with general medical care, its delivery system has unique aspects. The study examined how health plans deliver and manage behavioral health care in the context of the Affordable Care Act (ACA) and the 2008 Mental Health Parity and Addiction Equity Act (MHPAEA). This is a critical time to examine how health plans manage behavioral health care.

METHODS

A nationally representative survey of private health plans (weighted N=8,431 products; 89% response rate) was conducted in 2010 during the first year of MHPAEA, when plans were subject to the law but before final regulations, and just before the ACA went into effect. The survey addressed behavioral health coverage, cost-sharing, contracting arrangements, medical home innovations, support for technology, and financial incentives to improve behavioral health care.

RESULTS

Coverage for inpatient and outpatient behavioral health services was stable between 2003 and 2010. In 2010, health plans were more likely than in 2003 to manage behavioral health care through internal arrangements and to contract for other services. Medical home initiatives were common and almost always included behavioral health, but financial incentives did not. Some plans facilitated providers' use of technology to improve care delivery, but this was not the norm.

CONCLUSIONS

Health plans are key to mainstreaming and supporting delivery of high-quality behavioral health services. Since 2003, plans have made changes to support delivery of behavioral health services in the context of a rapidly changing environment.

Unpacking Collaborative Care for Depression: Examining Two Essential Tasks for Implementation

OBJECTIVE

This study examined how two key process-of-care tasks of the collaborative care model (CCM) predict patient depression outcomes.

METHODS

Registry data were from a large implementation of the CCM in Washington State and included 5,439 patient-episodes for patients age 18 or older with a baseline Patient Health Questionnaire-9 (PHQ-9) score of ≥10 and at least one follow-up contact with the CCM care manager within 24 weeks of initial contact. Key CCM tasks examined were at least one care manager follow-up contact within four weeks of initial contact and at least one psychiatric consultation between weeks 8 and 12 for patients not responding to treatment by week 8. Clinically significant improvement in depression symptoms was defined as achieving a PHQ-9 score of <10 or a 50% or more reduction in PHQ-9 score compared with baseline. Bivariate and multivariate (logistic and proportional hazard models) analyses were conducted to examine how fidelity with either task predicted outcomes. All analyses were conducted with the original sample and with a propensity score-matched sample.

RESULTS

Four-week follow-up was associated with a greater likelihood of achieving improvement in depression (odds ratio [OR]=1.63, 95% confidence interval [CI]=1.23-2.17) and a shorter time to improvement (hazard ratio=2.06, CI=1.67-2.54). Psychiatric consultation was also associated with a greater likelihood of improvement (OR=1.44, CI=1.13-1.84) but not with a shorter time to improvement. Propensity score-matched analysis yielded very similar results.

CONCLUSIONS

Findings support efforts to improve fidelity to the two process-of-care tasks and to include these tasks among quality measures for CCM implementation.

Partnering with health system operations leadership to develop a controlled implementation trial

Background

Outcome for mental health conditions is suboptimal, and care is fragmented. Evidence from controlled trials indicates that collaborative chronic care models (CCMs) can improve outcomes in a broad array of mental health conditions. US Department of Veterans Affairs leadership launched a nationwide initiative to establish multidisciplinary teams in general mental health clinics in all medical centers. As part of this effort, leadership partnered with implementation researchers to develop a program evaluation protocol to provide rigorous scientific data to address two implementation questions: (1) Can evidence-based CCMs be successfully implemented using existing staff in general mental health clinics supported by internal and external implementation facilitation? (2) What is the impact of CCM implementation efforts on patient health status and perceptions of care?

Methods/design

Health system operation leaders and researchers partnered in an iterative process to design a protocol that balances operational priorities, scientific rigor, and feasibility. Joint design decisions addressed identification of study sites, patient population of interest, intervention design, and outcome assessment and analysis. Nine sites have been enrolled in the intervention-implementation hybrid type III stepped-wedge design. Using balanced randomization, sites have been assigned to receive implementation support in one of three waves beginning at 4-month intervals, with support lasting 12 months. Implementation support consists of US Center for Disease Control’s Replicating Effective Programs strategy supplemented by external and internal implementation facilitation support and is compared to dissemination of materials plus technical assistance conference calls. Formative evaluation focuses on the recipients, context, innovation, and facilitation process. Summative evaluation combines quantitative and qualitative outcomes. Quantitative CCM fidelity measures (at the site level) plus health outcome measures (at the patient level; n = 765) are collected in a repeated measures design and analyzed with general linear modeling. Qualitative data from provider interviews at baseline and 1 year elaborate CCM fidelity data and provide insights into barriers and facilitators of implementation.

Discussion

Conducting a jointly designed, highly controlled protocol in the context of health system operational priorities increases the likelihood that time-sensitive questions of operational importance will be answered rigorously and that the outcomes will result in sustainable change in the health-care system.

Trial registration

NCT02543840 (https://www.clinicaltrials.gov/ct2/show/NCT02543840).

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.

Cost-utility of collaborative care for major depressive disorder in primary care in the Netherlands

OBJECTIVE

Major depression is a great burden on society, as it is associated with high disability/costs. The aim of this study was to evaluate the cost-utility of Collaborative Care (CC) for major depressive disorder compared to Care As Usual (CAU) in a primary health care setting from a societal perspective.

METHODS

A cluster randomized controlled trial was conducted, including 93 patients that were identified by screening (45-CC, 48-CAU). Another 57 patients were identified by the GP (56-CC, 1-CAU). The outcome measures were TiC-P, SF-HQL and EQ-5D, respectively measuring health care utilization, production losses and general health related quality of life at baseline three, six, nine and twelve months. A cost-utility analysis was performed for patients included by screening and a sensitivity analysis was done by also including patients identified by the GP.

RESULTS

The average annual total costs was €1131 (95% C.I., €-3158 to €750) lower for CC compared to CAU. The average quality of life years (QALYs) gained was 0.02 (95% C.I., -0.004 to 0.04) higher for CC, so CC was dominant from a societal perspective. Taking a health care perspective, CC was less cost-effective due to higher costs, €1173 (95% C.I., €-216 to €2726), of CC compared to CAU which led to an ICER of 53,717 Euro/QALY. The sensitivity analysis showed dominance of CC.

CONCLUSION

The cost-utility analysis from a societal perspective showed that CC was dominant to CAU. CC may be a promising treatment for depression in the primary care setting. Further research should explore the cost-effectiveness of long-term CC.

TRIAL REGISTRATION

Netherlands Trial Register ISRCTN15266438.

Collaborative care for patients with bipolar disorder: randomised controlled trial

BACKGROUND

A substantial number of people with bipolar disorder show a suboptimal response to treatment.

AIMS

To study the effectiveness of a collaborative care programme on symptoms and medication adherence in patients with bipolar disorder, compared with care as usual.

METHOD

A two-armed, cluster randomised clinical trial was carried out in 16 out-patient mental health clinics in The Netherlands, in which 138 patients were randomised. Patient outcomes included duration and severity of symptoms and medication adherence, and were measured at baseline, 6 months and 12 months. Collaborative care comprised contracting, psychoeducation, problem-solving treatment, systematic relapse prevention and monitoring of outcomes. Mental health nurses functioned as care managers in this programme. The trial was registered with The Netherlands Trial Registry (NTR2600).

RESULTS

Collaborative care had a significant and clinically relevant effect on number of months with depressive symptoms, both at 6 months (z = -2.6, P = 0.01, d = 0.5) and at 12 months (z = -3.1, P = 0.002, d = 0.7), as well as on severity of depressive symptoms at 12 months (z = -2.9, P = 0.004, d = 0.4). There was no effect on symptoms of mania or on treatment adherence.

CONCLUSIONS

When compared with treatment as usual, collaborative care substantially reduced the time participants with bipolar disorder experienced depressive symptoms. Also, depressive symptom severity decreased significantly. As persistent depressive symptoms are difficult to treat and contribute to both disability and impaired quality of life in bipolar disorder, collaborative care may be an important form of treatment for people with this disorder.

Clinical effectiveness of integrating depression care management into medicare home health: the Depression CAREPATH Randomized trial

IMPORTANCE

Among older home health care patients, depression is highly prevalent, is often inadequately treated, and contributes to hospitalization and other poor outcomes. Feasible and effective interventions are needed to reduce this burden of depression.

OBJECTIVE

To determine whether, among older Medicare Home Health recipients who screen positive for depression, patients of nurses receiving randomization to an intervention have greater improvement in depressive symptoms during 1 year than patients receiving enhanced usual care.

DESIGN, SETTING, AND PARTICIPANTS

This cluster randomized effectiveness trial conducted at 6 home health care agencies nationwide assigned nurse teams to an intervention (12 teams) or to enhanced usual care (9 teams). Between January 13, 2009, and December 6, 2012, Medicare Home Health patients 65 years and older who screened positive for depression on routine nursing assessments were recruited, underwent assessment, and were followed up at 3, 6, and 12 months by research staff blinded to intervention status. Patients were interviewed at home and by telephone. Of 502 eligible patients, 306 enrolled in the study.

INTERVENTIONS

The Depression Care for Patients at Home (Depression CAREPATH) trial requires nurses to manage depression at routine home visits by weekly symptom assessment, medication management, care coordination, education, and goal setting. Nurses' training totaled 7 hours (4 onsite and 3 via the web). Researchers telephoned intervention team supervisors every other week.

MAIN OUTCOMES AND MEASURES

Depression severity, assessed by the 24-item Hamilton Scale for Depression (HAM-D).

RESULTS

The 306 participants were predominantly female (69.6%), were racially/ethnically diverse (18.0% black and 16.0% Hispanic), and had a mean (SD) age of 76.5 (8.0) years. In the full sample, the intervention had no effect (P = .13 for intervention × time interaction). Adjusted HAM-D scores (Depression CAREPATH vs control) did not differ at 3 months (10.5 vs 11.4, P = .26) or at 6 months (9.3 vs 10.5, P = .12) but reached significance at 12 months (8.7 vs 10.6, P = .05). In the subsample with mild depression (HAM-D score, <10), the intervention had no effect (P = .90), and HAM-D scores did not differ at any follow-up points. Among 208 participants with a HAM-D score of 10 or higher, the Depression CAREPATH demonstrated effectiveness (P = .02), with lower HAM-D scores at 3 months (14.1 vs 16.1, P = .04), at 6 months (12.0 vs 14.7, P = .02), and at 12 months (11.8 vs 15.7, P = .005).

CONCLUSION AND RELEVANCE

Home health care nurses can effectively integrate depression care management into routine practice. However, the clinical benefit seems to be limited to patients with moderate to severe depression.

TRIAL REGISTRATION

clinicaltrials.gov Identifier: NCT01979302.

Insulin resistance, diabetes mellitus, and brain structure in bipolar disorders

Type 2 diabetes mellitus (T2DM) damages the brain, especially the hippocampus, and frequently co-occurs with bipolar disorders (BD). Reduced hippocampal volumes are found only in some studies of BD subjects and may thus be secondary to the presence of certain clinical variables. Studying BD patients with abnormal glucose metabolism could help identify preventable risk factors for hippocampal atrophy in BD. We compared brain structure using optimized voxel-based morphometry of 1.5T MRI scans in 33 BD subjects with impaired glucose metabolism (19 with insulin resistance/glucose intolerance (IR/GI), 14 with T2DM), 15 euglycemic BD participants and 11 euglycemic, nonpsychiatric controls. The group of BD patients with IR, GI or T2DM had significantly smaller hippocampal volumes than the euglycemic BD participants (corrected p=0.02) or euglycemic, nonpsychiatric controls (corrected p=0.004). Already the BD subjects with IR/GI had smaller hippocampal volumes than euglycemic BD participants (t(32)=-3.15, p=0.004). Age was significantly more negatively associated with hippocampal volumes in BD subjects with IR/GI/T2DM than in the euglycemic BD participants (F(2, 44)=9.96, p=0.0003). The gray matter reductions in dysglycemic subjects extended to the cerebral cortex, including the insula. In conclusion, this is the first study demonstrating that T2DM or even prediabetes may be risk factors for smaller hippocampal and cortical volumes in BD. Abnormal glucose metabolism may accelerate the age-related decline in hippocampal volumes in BD. These findings raise the possibility that improving diabetes care among BD subjects and intervening already at the level of prediabetes could slow brain aging in BD.

Patients' online access to their electronic health records and linked online services: a systematic interpretative review

OBJECTIVES

To investigate the effect of providing patients online access to their electronic health record (EHR) and linked transactional services on the provision, quality and safety of healthcare. The objectives are also to identify and understand: barriers and facilitators for providing online access to their records and services for primary care workers; and their association with organisational/IT system issues.

SETTING

Primary care.

PARTICIPANTS

A total of 143 studies were included. 17 were experimental in design and subject to risk of bias assessment, which is reported in a separate paper. Detailed inclusion and exclusion criteria have also been published elsewhere in the protocol.

PRIMARY AND SECONDARY OUTCOME MEASURES

Our primary outcome measure was change in quality or safety as a result of implementation or utilisation of online records/transactional services.

RESULTS

No studies reported changes in health outcomes; though eight detected medication errors and seven reported improved uptake of preventative care. Professional concerns over privacy were reported in 14 studies. 18 studies reported concern over potential increased workload; with some showing an increase workload in email or online messaging; telephone contact remaining unchanged, and face-to face contact staying the same or falling. Owing to heterogeneity in reporting overall workload change was hard to predict. 10 studies reported how online access offered convenience, primarily for more advantaged patients, who were largely highly satisfied with the process when clinician responses were prompt.

CONCLUSIONS

Patient online access and services offer increased convenience and satisfaction. However, professionals were concerned about impact on workload and risk to privacy. Studies correcting medication errors may improve patient safety. There may need to be a redesign of the business process to engage health professionals in online access and of the EHR to make it friendlier and provide equity of access to a wider group of patients. A1 SYSTEMATIC REVIEW REGISTRATION NUMBER: PROSPERO CRD42012003091.

Persistence in the long term of the effects of a collaborative care programme for depression in primary care

BACKGROUND

A collaborative care programme for depression in primary care has proven clinical effectiveness over a 12-months period. Because depression tends to relapse and to chronic course, our aim was to determine whether the effectiveness observed in the first year persists during 3 years of monitoring.

METHODS

Randomised controlled trial with twenty primary care centres were allocated to intervention group or usual care group. The intervention consisted of a collaborative care programme with clinical, educational and organisational procedures. Outcomes were monitored by a blinded interviewer at baseline, 12 and 36 months. Clinical outcomes were response to treatment and remission rates, depression severity and health-related quality of life.

TRIAL REGISTRATION

ISRCTN16384353.

RESULTS

A total of 338 adult patients with major depression (DSM-IV) were assessed at baseline. At 36 months, 137 patients in the intervention group and 97 in the control group were assessed (attrition 31%). The severity of depression (mean Patient Health Questionnaire-9 score) was 0.95 points lower in the intervention group [6.31 versus 7.25; p=0.324]. The treatment response rate was 5.6% higher in the intervention group than in the control group [66.4% versus 60.8%; p=0.379] and the remission rate was 9.2% higher [57.7% versus 48.5%; p=0.164]. No difference reached statistical significance.

LIMITATIONS

The number of patients lost (31%) before follow-up may have introduced a bias.

CONCLUSIONS

Clinical benefits shown in the first year were not maintained beyond: at 36 months the differences between the control group and the intervention group reduced in all the analysed variables.

Diagnosis and management of bipolar disorder in primary care: a DSM-5 update

This review discusses the diagnosis and detection of bipolar disorder in the primary care population with recent changes introduced by Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition and the pharmacotherapy and psychosocial management of this psychiatric condition.

Effective Implementation of collaborative care for depression: what is needed?

OBJECTIVES

To identify the care model factors that were key for successful implementation of collaborative depression care in a statewide Minnesota primary care initiative.

STUDY DESIGN

We used a mixed-methods design incorporating both qualitative data from clinic site visits and quantitative measures of patient activation and 6-month remission rates.

METHODS

Care model factors identified from the site visits were tested for association with rates of activation into the program and remission rates.

RESULTS

Nine factors were identified as important for successful implementation of collaborative care by the consultants who had trained and interviewed participating clinic teams, and rated according to a Likert Scale. Factors correlated with higher patient activation rates were: strong leadership support (0.63), well-defined and -implemented care manager roles (0.62), a strong primary care physician champion (0.60), and an on-site and accessible care manager (0.59). However, remission rates at 6 months were correlated with: an engaged psychiatrist (0.62), not seeing operating costs as a barrier to participation (0.56), and face-to-face communication (warm handoffs) between the care manager and primary care physician for new patients (0.54).

CONCLUSIONS

Care model factors most important for successful program implementation differ for patient activation into the program versus remission at 6 months. Knowing which implementation factors are most important for successful activation will be useful for those interested in adopting this evidence-based approach to improving primary care for patients with depression.