Understanding care coordination for Veterans with complex care needs: protocol of a multiple-methods study to build evidence for an effectiveness and implementation study.

Background: For patients with complex health and social needs, care coordination is crucial for improving their access to care, clinical outcomes, care experiences, and controlling their healthcare costs. However, evidence is inconsistent regarding the core elements of care coordination interventions, and lack of standardized processes for assessing patients' needs has made it challenging for providers to optimize care coordination based on patient needs and preferences. Further, ensuring providers have reliable and timely means of communicating about care plans, patients' full spectrum of needs, and transitions in care is important for overcoming potential care fragmentation. In the Veterans Health Administration (VA), several initiatives are underway to implement care coordination processes and services. In this paper, we describe our study underway in the VA aimed at building evidence for designing and implementing care coordination practices that enhance care integration and improve health and care outcomes for Veterans with complex care needs. Methods: In a prospective observational multiple methods study, for Aim 1 we will use existing data to identify Veterans with complex care needs who have and have not received care coordination services. We will examine the relationship between receipt of care coordination services and their health outcomes. In Aim 2, we will adapt the Patient Perceptions of Integrated Veteran Care questionnaire to survey a sample of Veterans about their experiences regarding coordination, integration, and the extent to which their care needs are being met. For Aim 3, we will interview providers and care teams about their perceptions of the innovation attributes of current care coordination needs assessment tools and processes, including their improvement over other approaches (relative advantage), fit with current practices (compatibility and innovation fit), complexity, and ability to visualize how the steps proceed to impact the right care at the right time (observability). The provider interviews will inform design and deployment of a widescale provider survey. Discussion: Taken together, our study will inform development of an enhanced care coordination intervention that seeks to improve care and outcomes for Veterans with complex care needs.

Factors associated with a lack of health care utilization among Veterans after a positive suicide screen in the emergency department.

OBJECTIVES: Many Veterans at high risk for suicide are identified in Veterans Health Administration (VHA) emergency departments (ED). Little is known about what may predict care utilization in this population. To address this knowledge gap, we explored factors associated with Veterans' lack of VHA care utilization following a positive suicide risk screen in the ED. METHODS: In a retrospective observational study, we identified all patients who were seen in a VHA ED from October 1, 2019, to September 30, 2020. We examined factors associated with not utilizing VHA mental health (MH) and all VHA care in the 6 months following a positive suicide ED screen. Predictors included comorbidity, homelessness, and MH visit and diagnosis history. RESULTS: We identified 23,446 Veterans with a positive suicide risk screen in the ED in fiscal year 2020. Overall, 4.1% had no VHA MH visits 6 months postscreen. The probability of not utilizing MH care was significantly higher for Veterans with no comorbidity (4.7% vs. 3.4% for mild comorbidity), no MH diagnosis (10.5% vs 2.8%), no past-year MH visits (13.6% vs 2.3%), and no past-year homelessness (5.4% vs. 1.1%). A smaller proportion of the population did not receive any VHA care 6 months postscreen (0.5%). Veterans who did not experience homelessness (0.6% vs 0.2%), had no MH diagnosis (1.6% vs. 0.3%), and had no previous MH visits (1.9% vs 0.2%) were significantly more likely to not utilize VHA care. CONCLUSIONS: Veterans who do not utilize VHA care after a positive suicide risk screen appear to have fewer documented health and housing concerns than those who do receive care. Yet, Veterans with a positive suicide risk screen who are otherwise healthy may remain at elevated risk for suicide following their ED visit. ED providers may consider enhanced follow-up care to mitigate suicide risk for these Veterans.

Self-Directed Violence Surveillance in the Veterans Health Administration: A National Examination of Factors Associated with Undetermined Versus Suicide Attempt Classification.

This national, observational study examined factors associated with undetermined self-directed violence (SDV) classification among Veterans with a SDV event classified as either "suicide attempt" or "undetermined SDV" in in the Veterans Health Administration (VHA) between 2013 and 2018 (N = 55,878). Generalized estimating equations were used to examine associations of patient and SDV event factors with likelihood of an undetermined SDV classification. Veterans who used poisoning or other methods had 1.52 (95%CI: 1.38, 1.66) and 2.33 (95%CI: 2.16, 2.50) increased odds of having their SDV classified as undetermined, respectively. Veterans with a prior year substance use disorder diagnosis had 1.19 (95%CI: 1.14, 1.24) increased odds of having their SDV classified as undetermined. In sex-stratified analyses, associations of poisoning and substance use disorders held only among males. Additional clinical evaluation of patients with histories of substance use disorders or who use poisoning as method of SDV may be warranted when making SDV determinations.

Veteran community engagement and social connection needs following inpatient psychiatric hospitalization.

OBJECTIVE: To understand barriers and facilitators to engaging in community activities for increasing social connectedness among recently psychiatrically hospitalized veterans, a population at elevated risk for suicide. METHOD: We completed 30 semistructured qualitative interviews with veterans within 1 week of discharge from inpatient psychiatric hospitalization. Our interviews focused on understanding past and current barriers, facilitators, and needs for engaging in community activities after psychiatric hospitalization. Data were analyzed using a modified grounded theory approach. RESULTS: Veterans shared feeling a lack of belonging and discussed several barriers to community engagement including lack of self-confidence, limited knowledge of opportunities, and negative expectations. Veterans identified several ways to facilitate engagement in community activities such as centralizing information on community activities and providing active support posthospitalization. CONCLUSIONS AND IMPLICATIONS FOR PRACTICE: Veterans by and large valued community and the role of community activities for increasing social connectedness. However, more active intervention for supporting engagement in community activities appears necessary to facilitate connection posthospitalization. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Psychiatric disorders newly diagnosed among veterans subsequent to hospitalization for COVID-19.

OBJECTIVE: The goal of our study was to evaluate the development of new mental health diagnoses up to 6-months following COVID-19 hospitalization for in a large, national sample. METHOD: Data were extracted for all Veterans hospitalized at Veterans Health Administration hospitals for COVID-19 from March through August of 2020 utilizing national administrative data. After identifying the cohort, follow-up data were linked through six months post-hospitalization. Data were analyzed using logistic regression. RESULTS: Eight percent of patients developed a new mental health diagnosis following hospitalization. The most common new mental health diagnoses involved depressive, anxiety, and adjustment disorders. Younger and rural patients were more likely to develop new mental health diagnoses. Women and those with more comorbidities were less likely to develop new diagnoses. CONCLUSION: A subpopulation of patients hospitalized for COVID-19 developed new mental health diagnoses. Unique demographics predictors indicate the potential need for additional outreach and screening to groups at elevated risk of post-hospitalization, mental health sequelae.

Patient selection strategies in an intensive primary care program.

BACKGROUND: Intensive primary care programs have had variable impacts on clinical outcomes, possibly due to a lack of consensus on appropriate patient-selection. The US Veterans Health Administration (VHA) piloted an intensive primary care program, known as Patient Aligned Care Team Intensive Management (PIM), in five medical centers. We sought to describe the PIM patient selection process used by PIM teams and to explore perspectives of PIM team members regarding how patient selection processes functioned in context. METHODS: This study employs an exploratory sequential mixed-methods design. We analyzed qualitative interviews with 21 PIM team and facility leaders and electronic health record (EHR) data from 2,061 patients screened between July 2014 and September 2017 for PIM enrollment. Qualitative data were analyzed using a hybrid inductive/deductive approach. Quantitative data were analyzed using descriptive statistics. RESULTS: Of 1,887 patients identified for PIM services using standardized criteria, over half were deemed inappropriate for PIM services, either because of not having an ambulatory care sensitive condition, living situation, or were already receiving recommended care. Qualitative analysis found that team members considered standardized criteria to be a useful starting point but too broad to be relied on exclusively. Additional data collection through chart review and communication with the current primary care team was needed to adequately assess patient complexity. Qualitative analysis further found that differences in conceptualizing program goals led to conflicting opinions of which patients should be enrolled in PIM. CONCLUSIONS: A combined approach that includes clinical judgment, case review, standardized criteria, and targeted program goals are all needed to support appropriate patient selection processes.

Suicide Screening and Risk Assessment in the Emergency Department: Case Review of a Suicide Attempt Survivor.

One in 10 of those who die by suicide are seen in an emergency department within the 2 months before their death. Despite national guidelines and resources (including from the Joint Commission and Emergency Nurses Association) for suicide screening, risk assessment, and follow-up care, suicidal ideation and behavior continue to go undetected in emergency departments, leading to gaps in care. This case review was conducted as part of a larger electronic medical record review of emergency department practices and aims to highlight potential gaps in care and identify missed opportunities for suicide screening and risk assessment. In addition to highlighting these missed opportunities, this case review provides recommendations for suicide screening and risk assessment resources with options for evidence-based follow-up care for suicidal patients.

Assessment of Suicidal Intent in Self-directed Violence and Subsequent Care Received Among Military Veterans: A National Study of Gender Differences.

BACKGROUND: The Veterans Health Administration's system for documenting self-directed violence (SDV) requires that clinicians make a determination of the suicidal intent of the behavior (ie, "undetermined" intent vs. "suicide attempt") which contributes to the enhanced care offered. Past studies suggest clinicians' judgment of suicide risk is impacted by patient demographics regardless of clinical presentation. As women are less likely to die by suicide than men, women's SDV may be taken less seriously; they may be more likely to have their SDV classified as "undetermined" than men, which may impact the care received. OBJECTIVES: This study examines whether women veterans' SDV is disproportionately classified as "undetermined" suicidal intent versus "suicide attempt" as compared with men veterans, and how one's classification and gender modifies the care received. RESEARCH DESIGN: This was an observational, retrospective study of data from Veterans Health Administration administrative databases. We included all veterans with documented nonfatal "undetermined" SDV events and "suicide attempts" between 2013 and 2018 (N=55,878). Objectives were evaluated using mixed-effects logistic regression models. RESULTS: Women veterans were disproportionately more likely than men veterans to have SDV classified as "undetermined" (odds ratio=1.17; 95% confidence interval, 1.08-1.27). Veterans who received an "undetermined" classification were significantly less likely to receive enhanced care. However, this relationship was not moderated by gender. CONCLUSIONS: Gender may impact clinicians' determinations of intent of SDV, but more research is needed on the extent of classification biases and to understand causes. Further, classification of intent is critical, as there is a strong relationship between classification and enhanced care.