Informing implementation and dissemination of a specialized primary care medical home for patients with serious mental illness: Clinician and administrator perspectives

People with serious mental illness (SMI) have lower rates of use of preventative medical services and higher rates of mortality compared to the general population. Research shows that specialized primary care medical homes improve the health care of patients with SMI and are feasible to implement, safe, and more effective than usual care. However, specialized medical homes remain uncommon and model dissemination limited. As part of a controlled trial assessing an SMI-specialized medical home, we examined clinician and administrator perspectives regarding specialized versus mainstream primary care and identified ways to enhance the scale-up of a specialized primary care model for future dissemination. We conducted semistructured interviews with clinicians and administrators at three sites prior to the implementation of an SMI-specialized primary care medical home (n = 26) and at 1-year follow-up (n = 24); one site implemented the intervention, and two sites served as controls. Interviews captured service design features that affected the quality of care provided; contextual factors that supported or impeded medical home implementation; and knowledge, attitudes, and behaviors regarding the care of patients with SMI. Interviews were transcribed and coded. Clinicians and administrators described SMI-specialized primary care medical homes as advancing care coordination and outcomes for patients with SMI. Stakeholders identified elements of a specialized medical home that they viewed as superior to usual care, including having a holistic picture of patients' needs and greater care coordination. However, to enable scale-up, efforts are needed to increase staffing on care teams, develop robust clinician onboarding or training, and ensure close coordination with mental health care providers. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Variation in benefit among patients with serious mental illness who receive integrated psychiatric and primary care

PURPOSE

The population with serious mental illness has high risk for hospitalization or death due to unhealthy behaviors and inadequate medical care, though the level of risk varies substantially. Programs that integrate medical and psychiatric services improve outcomes but are challenging to implement and access is limited. It would be useful to know whether benefits are confined to patients with specific levels of risk.

METHODS

In a population with serious mental illness and increased risk for hospitalization or death, a specialized medical home integrated services and improved treatment and outcomes. Treatment quality, chronic illness care, care experience, symptoms, and quality of life were assessed for a median of 385 days. Analyses examine whether improvements varied by baseline level of patient risk.

RESULTS

Patients with greater risk were more likely to be older, more cognitively impaired, and have worse mental health. Integrated services increased appropriate screening for body mass index, lipids, and glucose, but increases did not differ significantly by level of risk. Integrated services also improved chronic illness care, care experience, mental health-related quality of life, and psychotic symptoms. There were also no significant differences by risk level.

CONCLUSIONS

There were benefits from integration of primary care and psychiatric care at all levels of increased risk, including those with extremely high risk above the 95th percentile. When developing integrated care programs, patients should be considered at all levels of risk, not only those who are the healthiest.

Prescribing and Acceptance of Medications for Opioid Use Disorder in VA Primary Care: Veteran and Provider Perspectives

BACKGROUND

Medications to treat opioid use disorder (MOUD) such as buprenorphine/naloxone can effectively treat OUD and reduce opioid-related mortality, but they remain underutilized, especially in non-substance use disorder settings such as primary care (PC).

OBJECTIVE

To uncover the factors that can facilitate successful prescribing of MOUD and uptake/acceptance of MOUD by patients in PC settings in the Veterans Health Administration.

DESIGN

Semi-structured qualitative telephone interviews with 77 providers (e.g., primary care providers, hospitalists, nurses, addiction psychiatrists) and 22 Veteran patients with experience taking MOUD. Interviews were recorded, transcribed, and analyzed thematically using a combination a priori/inductive approach.

KEY RESULTS

Providers and patients shared their general perceptions and experiences with MOUD, including high satisfaction with buprenorphine/naloxone with few side effects and caveats, although some patients reported drawbacks to methadone. Both providers and patients supported the idea of prescribing MOUD in PC settings to prioritize patient comfort and convenience. Providers described individual-level barriers (e.g., time, stigma, perceptions of difficulty level), structural-level barriers (e.g., pharmacy not having medications ready, space for inductions), and organizational-level barriers (e.g., inadequate staff support, lack of nursing protocols) to PC providers prescribing MOUD. Facilitators centered on education and knowledge enhancement, workflow and practice support, patient engagement and patient-provider communication, and leadership and organizational support. The most common barrier faced by patients to starting MOUD was apprehensions about pain, while facilitators focused on personal motivation, encouragement from others, education about MOUD, and optimally timed provider communication strategies.

CONCLUSIONS

These findings can help improve provider-, clinic-, and system-level supports for MOUD prescribing across multiple settings, as well as foster communication strategies that can increase patient acceptance of MOUD. They also point to how interprofessional collaboration across service lines and leadership support can facilitate MOUD prescribing among non-addiction providers.

Meeting high-risk patient pain care needs through intensive primary care: a secondary analysis

OBJECTIVE

Chronic pain disproportionately affects medically and psychosocially complex patients, many of whom are at high risk of hospitalisation. Pain prevalence among high-risk patients, however, is unknown, and pain is seldom a focus for improving high-risk patient outcomes. Our objective is to (1) evaluate pain frequency in a high-risk patient population and (2) identify intensive management (IM) programme features that patients and providers perceive as important for promoting patient-centred pain care within primary care (PC)-based IM.

DESIGN

Secondary observational analysis of quantitative and qualitative evaluation data from a multisite randomised PC-based IM programme for high-risk patients.

SETTING

Five integrated local Veterans Affairs (VA) healthcare systems within distinct VA administrative regions.

PARTICIPANTS

Staff and high-risk PC patients in the VA.

INTERVENTION

A multisite randomised PC-based IM programme for high-risk patients.

OUTCOME MEASURES

(a) Pain prevalence based on VA electronic administrative data and (b) transcripts of interviews with IM staff and patients that mentioned pain.

RESULTS

Most (70%, 2593/3723) high-risk patients had at least moderate pain. Over one-third (38%, 40/104) of the interviewees mentioned pain or pain care. There were 89 pain-related comments addressing IM impacts on pain care within the 40 interview transcripts. Patient-identified themes were that IM improved communication and responsiveness to pain. PC provider-identified themes were that IM improved workload and access to expertise. IM team member-identified themes were that IM improved pain care coordination, facilitated non-opioid pain management options and mitigated provider compassion fatigue. No negative IM impacts on pain care were mentioned.

CONCLUSIONS

Pain is common among high-risk patients. Future IM evaluations should consider including a focus on pain and pain care, with attention to impacts on patients, PC providers and IM teams.

Patient experiences with a primary care medical home tailored for people with serious mental illness

INTRODUCTION

People with serious mental illness (SMI) have low rates of primary care (PC) use and die years prematurely, mostly because of medical illnesses such as cardiovascular disease or cancer. To meet the needs of these individuals, a novel, specialized patient-centered medical home with care coordination ("SMI PACT") was developed and implemented in PC. This study qualitatively examined patients' experiences with this innovative care model.

METHOD

After implementation of the medical home in 2018, one-on-one semistructured interviews were conducted with 28 patients (32% women, 43% Black, and 25% Hispanic). Interviews were professionally transcribed and coded prior to thematic analysis.

RESULTS

Patients overwhelmingly described positive experiences with SMI PACT because of the qualities of interpersonal communication displayed by SMI PACT staff (e.g., nonjudgment, good listening, patience), structural features of the SMI PACT collaborative care model (e.g., frequent follow-up communication), and other unique aspects of the SMI PACT model tailored for SMI, such as easy-to-understand language. For these reasons, most patients expressed a desire to continue care in SMI PACT. Patients also self-reported improved engagement with their healthcare and self-management of diet, exercise, blood pressure, and diabetes control as a result of SMI PACT participation.

DISCUSSION

Patients enrolled in a specialized PC medical home identified clinician characteristics and behaviors that informed an overwhelmingly positive impression of the program model. Their experiences can guide dissemination of specialized PC models and integrated services for people with SMI. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Types of Engagement Strategies to Engage High-Risk Patients in VA

BACKGROUND

Many healthcare systems seek to improve care for complex high-risk patients, but engaging such patients to actively participate in their healthcare can be challenging.

OBJECTIVE

To identify and describe types of patient engagement strategies reported as successfully deployed by providers/teams and experienced by patients in a Veterans Health Administration (VA) intensive primary care (IPC) pilot program.

METHODS

We conducted semi-structured qualitative telephone interviews with 29 VA IPC staff (e.g., physicians, nurses, psychologists) and 51 patients who had at least four IPC team encounters. Interviews were recorded, transcribed, and analyzed thematically using a combination a priori/inductive approach.

RESULTS

The engagement strategies successfully deployed by the IPC providers/teams could be considered either more "facilitative," i.e., facilitated by and dependent on staff actions, or more "self-sustaining," i.e., taught to patients, thus cultivating their ongoing patient self-care. Facilitative strategies revolved around enhancing patient access and coordination of care, trust-building, and addressing social determinants of health. Self-sustaining strategies were oriented around patient empowerment and education, caregiver and/or community support, and boundaries and responsibilities. When patients described their experiences with the "facilitative" strategies, many discussed positive proximal outcomes (e.g., increased access to healthcare providers). Self-sustaining strategies led to positive (self-reported) longer-term clinical outcomes, such as behavior change.

CONCLUSION

We identified two categories of strategies for successfully engaging complex, high-risk patients: facilitative and self-sustaining. Intensive primary care program leaders may consider thoughtfully building "self-sustaining" engagement strategies into program development. Future research can confirm their effectiveness in improving health outcomes.

Changes in Primary Care Quality Associated With Implementation of the Veterans Health Administration Preventive Health Inventory

Importance

The COVID-19 pandemic caused significant disruptions in primary care delivery. The Veterans Health Administration (VHA) launched the Preventive Health Inventory (PHI) program-a multicomponent care management intervention, including a clinical dashboard and templated electronic health record note-to support primary care in delivering chronic disease care and preventive care that had been delayed by the pandemic.

Objectives

To describe patient, clinician, and clinic correlates of PHI use in primary care clinics and to examine associations between PHI adoption and clinical quality measures.

Design, Setting, and Participants

This quality improvement study used VHA administrative data from February 1, 2021, through February 28, 2022, from a national cohort of 216 VHA primary care clinics that have implemented the PHI. Participants comprised 829 527 veterans enrolled in primary care in clinics with the highest and lowest decile of PHI use as of February 2021.

Exposure

Templated electronic health record note documenting use of the PHI.

Main Outcomes and Measures

Diabetes and blood pressure clinical quality measures were the primary outcomes. Interrupted time series models were applied to estimate changes in diabetes and hypertension quality measures associated with PHI implementation. Low vs high PHI use was stratified at the facility level to measure whether systematic differences in uptake were associated with quality.

Results

A total of 216 primary clinics caring for 829 527 unique veterans (mean [SD] age, 64.1 [16.9] years; 755 158 of 829 527 [91%] were men) formed the study cohort. Use of the PHI varied considerably across clinics. The clinics in the highest decile of PHI use completed a mean (SD) of 32 997.4 (14 019.3) notes in the electronic health record per 100 000 veterans compared with 56.5 (35.3) notes per 100 000 veterans at the clinics in the lowest decile of use (P < .001). Compared with the clinics with the lowest use of the PHI, clinics with the highest use had a larger mean (SD) clinic size (12 072 [7895] patients vs 5713 [5825] patients; P < .001), were more likely to be urban (91% vs 57%; P < .001), and served more non-Hispanic Black veterans (16% vs 5%; P < .001) and Hispanic veterans (14% vs 4%; P < .001). Staffing did not differ meaningfully between high- and low-use clinics (mean [SD] ratio of full-time equivalent staff to clinician, 3.4 [1.2] vs 3.4 [0.8], respectively; P < .001). After PHI implementation, compared with the clinics with the lowest use, those with the highest use had fewer veterans with a hemoglobin A1c greater than 9% or missing (mean [SD], 6577 [3216] per 100 000 veterans at low-use clinics; 9928 [4236] per 100 000 veterans at high-use clinics), more veterans with an annual hemoglobin A1c measurement (mean [SD], 13 181 [5625] per 100 000 veterans at high-use clinics; 8307 [3539] per 100 000 veterans at low-use clinics), and more veterans with adequate blood pressure control (mean [SD], 20 582 [12 201] per 100 000 veterans at high-use clinics; 12 276 [6850] per 100 000 veterans at low-use clinics).

Conclusions and Relevance

This quality improvement study of the implementation of the VHA PHI suggests that higher use of a multicomponent care management intervention was associated with improved quality-of-care metrics. The study also found significant variation in PHI uptake, with higher uptake associated with clinics with more racial and ethnic diversity and larger, urban clinic sites.

Intensive care management for high-risk veterans in a patient-centered medical home - do some veterans benefit more than others?

BACKGROUND

Primary care intensive management programs utilize interdisciplinary care teams to comprehensively meet the complex care needs of patients at high risk for hospitalization. The mixed evidence on the effectiveness of these programs focuses on average treatment effects that may mask heterogeneous treatment effects (HTEs) among subgroups of patients. We test for HTEs by patients' demographic, economic, and social characteristics.

METHODS

Retrospective analysis of a VA randomized quality improvement trial. 3995 primary care patients at high risk for hospitalization were randomized to primary care intensive management (n = 1761) or usual primary care (n = 1731). We estimated HTEs on ED and hospital utilization one year after randomization using model-based recursive partitioning and a pre-versus post-with control group framework. Splitting variables included administratively collected demographic characteristics, travel distance, copay exemption, risk score for future hospitalizations, history of hospital discharge against medical advice, homelessness, and multiple residence ZIP codes.

RESULTS

There were no average or heterogeneous treatment effects of intensive management one year after enrollment. The recursive partitioning algorithm identified variation in effects by risk score, homelessness, and whether the patient had multiple residences in a year. Within each distinct subgroup, the effect of intensive management was not statistically significant.

CONCLUSIONS

Primary care intensive management did not affect acute care use of high-risk patients on average or differentially for patients defined by various demographic, economic, and social characteristics.

IMPLICATIONS

Reducing acute care use for high-risk patients is complex, and more work is required to identify patients positioned to benefit from intensive management programs.

High-Risk Patient Experiences Associated With an Intensive Primary Care Management Program in the Veterans Health Administration

Intensive management programs may improve health care experiences among high-risk and complex patients. We assessed patient experience among (1) prior enrollees (n = 59) of an intensive management program (2014-2018); (2) nonenrollees (n = 356) at program sites; and (3) nonprogram site patients (n = 728), using a patient survey based on the Consumer Assessment of Healthcare Providers and Systems in 2019. Outcomes included patient ratings of patient-centered care; overall health care experience; and satisfaction with their usual outpatient care provider. In multivariate models, enrollees were more satisfied with their current provider versus nonenrollees within program sites (adjusted odds ratio 2.36; 95% confidence interval 1.15-4.85).

The Effectiveness of a Specialized Primary Care Medical Home for Patients with Serious Mental Illness

BACKGROUND

There are unmet primary care needs among people with serious mental illness that might be improved with integrated care and medical care management. Many healthcare organizations have attempted to address this problem, but few interventions have been rigorously studied and found to be effective.

OBJECTIVE

Study the implementation and effectiveness of a novel, specialized primary care medical home designed to improve the healthcare of patients with serious mental illness.

DESIGN, SETTING, AND PARTICIPANTS

Clustered controlled trial for a median of 401 days. One Veterans Health Administration medical center was assigned to intervention and two were assigned to usual care (control). Thirty-nine clinicians and managers were included in the study, as well as 331 patients who met eligibility criteria.

INTERVENTION

A specialized medical home with systematic patient engagement, proactive nurse panel management, a collaborative care psychiatrist, and a primary care physician providing care that included psychiatric treatment.

MAIN MEASURES

Quality of care, chronic illness care and care experience, symptoms, and quality of life.

KEY RESULTS

Sixty-five intervention patients (40%) moved all psychiatric care to the primary care team. No adverse events were attributable to the intervention. Compared with control, intervention patients had greater improvement over time in appropriate screening for body mass index, lipids, and glucose (χ2 = 6.9, 14.3, and 3.9; P's < .05); greater improvement in all domains of chronic illness care (activation, decision support, goal-setting, counseling, coordination) and care experience (doctor-patient interaction, shared decision-making, care coordination, access; F for each 10-24, P's < .05); and greater improvement in mental health-related quality of life (F = 3.9, P = .05) and psychotic symptoms (F = 3.9, P = .05).

CONCLUSION

A primary care medical home for serious mental illness can be feasible to implement, safe, and more effective than usual care.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT01668355.

Quality Measures for Patients at Risk of Adverse Outcomes in the Veterans Health Administration: Expert Panel Recommendations

IMPORTANCE

Despite longstanding efforts to improve health care quality for patients with complex needs who are at highest risk for hospitalization or death, to our knowledge, no guidance exists on what constitutes measurable high-quality care for this heterogeneous population. Identifying quality measures that are cross-cutting (ie, relevant to multiple chronic conditions and disease states) may enable health care professionals and health care systems to better design and report on quality improvement efforts for this patient population.

OBJECTIVE

To identify quality measures of care and prioritize quality-of-care concepts in the ambulatory primary care setting for patients in the Veterans Health Administration (VHA) who have complex care needs and are at high risk for adverse outcomes, such as hospitalization or death.

EVIDENCE REVIEW

In this expert panel assessment and prioritization, relevant measure concepts for future quality measure development in 3 care categories (assessment, management, and other features of health care) were extracted from a systematic review, conducted from June 2020 to June 2021, of published studies that suggested, evaluated, or used indicators of quality care for patients at high risk of adverse outcomes. Measure concepts associated with single conditions, surgical or other specialty care settings, and inpatient care were excluded. A panel of 14 experts (10 VHA leaders and staff, 2 non-VHA physician investigators, and 2 veterans) discussed and rated the importance of the remaining set of potentially relevant measure concepts using a modified RAND/UCLA Appropriateness Method on January 15, 2021. Measure concepts were rated on a scale of 1 to 9, with 9 being the highest priority. A median rating of 7.5 or greater was used as the cutoff to identify the highest-priority items.

FINDINGS

The systematic review identified 519 measure concepts, from which 15 domains and 49 measure concepts were proposed for expert panel consideration. After panel discussions and changes to measure concepts, the expert panel rated 63 measure concepts in 13 domains. The measure concepts with the highest median ratings focused on caregiver availability and support, COVID-19 vaccination, and pneumonia vaccination (all rated 9.0); housing instability (rated 8.5); and physical function, depression symptoms, cognitive impairment, prescription regimen, primary care follow-up after an emergency department visit or hospitalization, and timely transmission of discharge information to primary care (all rated 8.0). Recommendations to improve care included timely assessment of housing instability, caregiver support, physical function, depression symptoms, and cognitive impairment; annual prescription regimen review; coordinated transitions in care; and preventive care including vaccinations.

CONCLUSIONS AND RELEVANCE

The expert panelists identified a parsimonious set of high-priority, evidence-based, cross-cutting quality measure concepts for improving care of patients at high risk for adverse health outcomes in the VHA. These quality measures may inform both future research for patients at high risk and health care system quality improvement.

A novel causal model for nasopharyngeal carcinoma

The development of nasopharyngeal carcinoma (NPC) and its unique geographic distribution have long been attributed to a combination of dietary intake of salt-preserved fish, inherited susceptibility, and early-life infection with the Epstein-Barr virus (EBV). New findings from our large, rigorously designed, population-based case-control study of NPC in southern China have enabled substantial revision of this causal model. Here, we briefly summarize these results and provide an updated model of the etiology of NPC. Our new research identifies two EBV genetic variants that may be causally involved in the majority of NPC in southern China, and suggests the rise of modern environmental co-factors accompanying cultural and economic transformation in NPC-endemic regions. These discoveries can be translated directly into clinical and public health advances, including improvement of indoor air quality and oral health, development of an EBV vaccine, enhanced screening strategies, and improved risk prediction. Greater understanding of the roles of environmental, genetic, and viral risk factors can reveal the extent to which these agents act independently or jointly on NPC development. The history of NPC research demonstrates how epidemiology can shed light on the interplay of genes, environment, and infections in carcinogenesis, and how this knowledge can be harnessed for cancer prevention and control.

Factors Associated With Patient-Centered Medical Home Teams' Use of Resources for Identifying and Approaches for Managing Patients With Complex Needs

Using data from a Veterans Health Administration national primary care survey, this study identified the most highly rated tools and care approaches for patients with complex needs and how preferences varied by professional role, staffing, and training. Nurses were significantly more likely to rate most tools as very important as compared with primary care providers. Having a fully staffed team was also significantly associated with a very important rating on all tools. Nurses and fully staffed teams reported a greater likeliness to use most care approaches, and those with perceived need for training reporting a lower likeliness to use.

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.

Outcomes that Matter: High-Needs Patients' and Primary Care Leaders' Perspectives on an Intensive Primary Care Pilot

BACKGROUND

Quantitative evaluations of the effectiveness of intensive primary care (IPC) programs for high-needs patients have yielded mixed results for improving healthcare utilization, cost, and mortality. However, IPC programs may provide other value.

OBJECTIVE

To understand the perspectives of high-needs patients and primary care facility leaders on the effects of a Veterans Affairs (VA) IPC program on patients.

DESIGN

A total of 66 semi-structured telephone interviews with high-needs VA patients and primary care facility leaders were conducted as part of the IPC program evaluation.

PARTICIPANTS

High-needs patients (n = 51) and primary care facility leaders (n = 15) at 5 VA pilot sites.

APPROACH

We used content analysis to examine interview transcripts for both a priori and emergent themes about perceived IPC program effects.

KEY RESULTS

Patients enrolled in VA IPCs reported improvements in their experience of VA care (e.g., patient-provider relationship, access to their team). Both patients and leaders reported improvements in patient motivation to engage with self-care and with their IPC team, and behaviors, especially diet, exercise, and medication management. Patients also perceived improvements in health and described receiving assistance with social needs. Despite this, patients and leaders also outlined patient health characteristics and contextual factors (e.g., chronic health conditions, housing insecurity) that may have limited the effectiveness of the program on healthcare cost and utilization.

CONCLUSIONS

Patients and primary care facility leaders report benefits for high-needs patients from IPC interventions that translated into perceived improvements in healthcare, health behaviors, and physical and mental health status. Most program evaluations focus on cost and utilization, which may be less amenable to change given this cohort's numerous comorbid health conditions and complex social circumstances. Future IPC program evaluations should additionally examine IPC's effects on quality of care, patient satisfaction, quality of life, and patient health behaviors other than utilization (e.g., engagement, self-efficacy).

What Is the Return on Investment of Caring for Complex High-need, High-cost Patients?

Randomized controlled trials to improve care for complex, high-need, high-cost patients have not consistently demonstrated a relative decrease in acute care utilization or cost savings. However, the Veterans Health Administration (VHA) has been able to glean lessons from these trials and generate realistic expectations for success. Lessons include the following: (1) combining population management tools (e.g., risk scores) and clinician judgment is more effective than either alone to identify the patients best suited for intensive management; (2) treatment adherence and engagement may contribute more to preventable emergency department visits and hospitalizations than care coordination; and (3) efforts should focus on assessing for and treating those risk factors that are most amenable to intervention. Because it is unlikely that cost savings can fund add-on intensive management programs, the VHA Office of Primary Care plans to incorporate those intensive management practices that are feasible into existing patient-centered medical homes as a high reliability organization.

Outcomes of a randomized quality improvement trial for high-risk Veterans in year two

OBJECTIVE

The Veterans Health Administration (VHA) conducted a randomized quality improvement evaluation to determine whether augmenting patient-centered medical homes with Primary care Intensive Management (PIM) decreased utilization of acute care and health care costs among patients at high risk for hospitalization. PIM was cost-neutral in the first year; we analyzed changes in utilization and costs in the second year.

DATA SOURCES

VHA administrative data for five demonstration sites from August 2013 to March 2019.

DATA SOURCES

Administrative data extracted from VHA's Corporate Data Warehouse.

STUDY DESIGN

Veterans with a risk of 90-day hospitalization in the top 10th percentile and recent hospitalization or emergency department (ED) visit were randomly assigned to usual primary care vs primary care augmented by PIM. PIM included interdisciplinary teams, comprehensive patient assessment, intensive case management, and care coordination services. We compared the change in mean VHA inpatient and outpatient utilization and costs (including PIM expenses) per patient for the 12-month period before randomization and 13-24 months after randomization for PIM vs usual care using difference-in-differences.

PRINCIPAL FINDINGS

Both PIM patients (n = 1902) and usual care patients (n = 1882) had a mean of 5.6 chronic conditions. PIM patients had a greater number of primary care visits compared to those in usual care (mean 4.6 visits/patient/year vs 3.7 visits/patient/year, p < 0.05), but ED visits (p = 0.45) and hospitalizations (p = 0.95) were not significantly different. We found a small relative increase in outpatient costs among PIM patients compared to those in usual care (mean difference + $928/patient/year, p = 0.053), but no significant differences in mean inpatient costs (+$245/patient/year, p = 0.97). Total mean health care costs were similar between the two groups during the second year (mean difference + $1479/patient/year, p = 0.73).

CONCLUSIONS

Approaches that target patients solely based on the high risk of hospitalization are unlikely to reduce acute care use or total costs in VHA, which already offers patient-centered medical homes.

What Do Patient-Centered Medical Home (PCMH) Teams Need to Improve Care for Primary Care Patients with Complex Needs?

BACKGROUND

Intensive primary care (IPC) programs for patients with complex needs do not generate cost savings in most settings. Strengthening existing patient-centered medical homes (PCMH) to address the needs of these patients in primary care is a potential high-value alternative.

OBJECTIVES

Explore PCMH team functioning and characteristics that may impact their ability to perform IPC tasks; identify the IPC components that could be incorporated into PCMH teams' workflow; and identify additional resources, trainings, and staff needed to better manage patients with complex needs in primary care.

METHODS

We interviewed 44 primary care leaders, PCMH team members (providers, nurses, social workers), and IPC program leaders at 5 VA IPC sites and analyzed a priori themes using a matrix analysis approach.

RESULTS

Higher-functioning PCMH teams were described as already performing most IPC tasks, including panel management and care coordination. All sites reported that PCMH teams had the knowledge and skills to perform IPC tasks, but not with the same intensity as specialized IPC teams. Home visits/assessments and co-attending appointments were perceived as not feasible to perform. Key stakeholders identified 6 categories of supports and capabilities that PCMH teams would need to better manage complex patients, with care coordination/management and fully staffed teams as the most frequently mentioned. Many thought that PCMH teams could make better use of existing VA and non-VA resources, but might need training in identifying and using those resources.

CONCLUSIONS

PCMH teams can potentially offer certain clinic-based services associated with IPC programs, but tasks that are time intensive or require physical absence from clinic might require collaboration with community service providers and better use of internal and external healthcare system resources. Future studies should explore the feasibility of PCMH adoption of IPC tasks and the impact on patient outcomes.

Can Using an Intensive Management Program Improve Primary Care Staff Experiences With Caring for High-Risk Patients?

BACKGROUND

Complex, high-risk patients present challenges for primary care staff. Intensive outpatient management teams aim to serve as a resource for usual primary care to improve care for high-risk patients without adding burden to the primary care staff. Whether such assistance can influence the primary care staff experiences is unknown. The objective of this study was to examine improvement in job satisfaction and intent to stay for primary care staff at the US Department of Veterans Affairs (VA) who sought assistance from an intensive management program.

METHODS

Longitudinal analysis of a staff cohort that completed 2 cross-sectional surveys 18 months apart, controlling for outcomes at time 1. Participants included 144 primary care providers at 5 geographically diverse VA health care systems who completed both surveys. Measured outcomes included job satisfaction and intent to stay within primary care at the VA (measured at time 2). Predictors included likelihood of using intensive management teams (measured at time 1). Covariates included outcomes and professional/practice characteristics (measured at time 1).

RESULTS

The response rate for primary care staff that completed both surveys was 21%. Staff who indicated at time 1 that they were more likely to use intensive management teams for high-risk patients reported significantly higher satisfaction and intention to stay at VA primary care at time 2 (both P < .05).

CONCLUSIONS

A VA primary care workforce might benefit from assistance from intensive management teams for high-risk patients. Additional work is needed to understand the mechanisms by which primary care staff benefit and how to optimize them.

Holding firm: Use of clinical correlation to improve Clostridioides difficile testing

A project involving 3 Plan-Do-Study-Act cycles was undertaken to improve testing for Clostridioides difficile at a Veterans Administration medical center. The Plan-Do-Study-Act process facilitated stakeholder engagement and allowed each successive intervention to build on the prior, resulting in a decline in the rate of hospital-onset C difficile infection.

Use of General Primary Care, Specialized Primary Care, and Other Veterans Affairs Services Among High-Risk Veterans

IMPORTANCE

Integrated health care systems increasingly focus on improving outcomes among patients at high risk for hospitalization. Examining patterns of where patients obtain care could give health care systems insight into how to develop approaches for high-risk patient care; however, such information is rarely described.

OBJECTIVE

To assess use of general and specialized primary care, medical specialty, and mental health services among patients at high risk of hospitalization in the Veterans Health Administration (VHA).

DESIGN, SETTING, AND PARTICIPANTS

This national, population-based, retrospective cross-sectional study included all veterans enrolled in any type of VHA primary care service as of September 30, 2015. Data analysis was performed from April 1, 2016, to January 1, 2019.

EXPOSURES

Risk of hospitalization and assignment to general vs specialized primary care.

MAIN OUTCOME AND MEASURES

High-risk veterans were defined as those who had the 5% highest risk of near-term hospitalization based on a validated risk prediction model; all others were considered low risk. Health care service use was measured by the number of encounters in general primary care, specialized primary care, medical specialty, mental health, emergency department, and add-on intensive management services (eg, telehealth and palliative care).

RESULTS

The study assessed 4 309 192 veterans (mean [SD] age, 62.6 [16.0] years; 93% male). Male veterans (93%; odds ratio [OR], 1.11; 95% CI, 1.10-1.13), unmarried veterans (63%; OR, 2.30; 95% CI, 2.32-2.35), those older than 45 years (94%; 45-65 years of age: OR, 3.49 [95% CI, 3.44-3.54]; 66-75 years of age: OR, 3.04 [95% CI, 3.00-3.09]; and >75 years of age: OR, 2.42 [95% CI, 2.38-2.46]), black veterans (23%; OR, 1.63; 95% CI, 1.61-1.64), and those with medical comorbidities (asthma or chronic obstructive pulmonary disease: 33%; OR, 4.03 [95% CI, 4.00-4.06]; schizophrenia: 4%; OR, 5.14 [95% CI, 5.05-5.22]; depression: 42%; OR, 3.10 [95% CI, 3.08-3.13]; and alcohol abuse: 20%; OR, 4.54 [95% CI, 4.50-4.59]) were more likely to be high risk (n = 351 012). Most (308 433 [88%]) high-risk veterans were assigned to general primary care; the remaining 12% (42 579 of 363 561) were assigned to specialized primary care (eg, women's health and homelessness). High-risk patients assigned to general primary care had more frequent primary care visits (mean [SD], 6.9 [6.5] per year) than those assigned to specialized primary care (mean [SD], 6.3 [7.3] per year; P < .001). They also had more medical specialty care visits (mean [SD], 4.4 [5.9] vs 3.7 [5.4] per year; P < .001) and fewer mental health visits (mean [SD], 9.0 [21.6] vs 11.3 [23.9] per year; P < .001). Use of intensive supplementary outpatient services was low overall.

CONCLUSIONS AND RELEVANCE

The findings suggest that, in integrated health care systems, approaches to support high-risk patient care should be embedded within general primary care and mental health care if they are to improve outcomes for high-risk patient populations.

Which patients are persistently high-risk for hospitalization?

OBJECTIVES

Many healthcare systems use prediction models to estimate and manage patient-level probability of hospitalization. Patients identified as high-risk at one point in time may not, however, remain high-risk. We aimed to describe subgroups of patients with distinct longitudinal risk score patterns to inform interventions tailored to patients' needs.

STUDY DESIGN

Retrospective national cohort study.

METHODS

Using a previously validated prediction algorithm, we identified a cohort of 258,759 patients enrolled in the Veterans Health Administration (VHA) who were in the top 5% of risk for hospitalization within 90 days. During each of the following 24 months, patients were placed in 1 of 6 categories: death, hospitalized, no VHA care, persistently high-risk for hospitalization (≥10% probability), initially high-risk then persistently low-risk (<10% probability), and intermittently high-risk. We used multivariable logistic regression to identify characteristics predictive of being persistently high-risk through the last study month.

RESULTS

After 2 years, 17.7% had died, 13.8% had remained persistently high-risk for hospitalization, 41.5% had become persistently low-risk, and 19.9% were intermittently high-risk. Predictors of being persistently high-risk included urban residence, chronic medical comorbidities, auditory and visual impairment, chronic pain, any cancer diagnosis, and social instability.

CONCLUSIONS

Few patients who were high-risk for hospitalization at baseline remained so. Nonrandomized evaluations of interventions that identify patients based on a single high-risk score may spuriously appear to have positive effects. Clinical interventions may need to focus on individuals who are persistently high-risk.

High-Need Patients' Goals and Goal Progress in a Veterans Affairs Intensive Outpatient Care Program

BACKGROUND

Healthcare systems nationwide are implementing intensive outpatient care programs to optimize care for high-need patients; however, little is known about these patients' personal goals and factors associated with goal progress.

OBJECTIVE

To describe high-need patients' goals, and to identify factors associated with their goal progress DESIGN: Retrospective cohort study PARTICIPANTS: A total of 113 high-need patients participated in a single-site Veterans Affairs intensive outpatient care program.

MAIN MEASURES

Two independent reviewers examined patients' goals recorded in the electronic health record, categorized each goal into one of three domains (medical, behavioral, or social), and determined whether patients attained goal progress during program participation. Logistic regression was used to determine factors associated with goal progress.

RESULTS

The majority (n = 72, 64%) of the 113 patients attained goal progress. Among the 100 (88%) patients with at least one identified goal, 58 set goal(s) in the medical domain; 60 in the behavioral domain; and 52 in the social domain. Within each respective domain, 41 (71%) attained medical goal progress; 34 (57%) attained behavioral goal progress; and 32 (62%) attained social goal progress. Patients with mental health condition(s) (aOR 0.3; 95% CI 0.1-0.9; p = 0.03) and those living alone (aOR 0.4; 95% CI 0.1-1.0; p = 0.05) were less likely to attain goal progress. Those with mental health condition(s) and those who were living alone were least likely to attain goal progress (interaction aOR 0.1 compared to those with neither characteristic; 95% CI 0.0-0.7; p = 0.02).

CONCLUSIONS

Among high-need patients participating in an intensive outpatient care program, patient goals were fairly evenly distributed across medical, behavioral, and social domains. Notably, individuals living alone with mental health conditions were least likely to attain progress. Future care coordination interventions might incorporate strategies to address this gap, e.g., broader integration of behavioral and social service components.

Reducing the rare event: lessons from the implementation of a ventilator bundle

The ventilator-associated event (VAE) is a potentially avoidable complication of mechanical ventilation (MV) associated with poor outcomes. Although rare, VAEs and other nosocomial events are frequently targeted for quality improvement efforts consistent with the creed to ‘do no harm’. In October 2016, VA Greater Los Angeles (GLA) was in the lowest-performing decile of VA medical centres on a composite measure of quality, owing to GLA’s relatively high VAE rate. To decrease VAEs, we sought to reduce average MV duration of patients with acute respiratory failure to less than 3 days by 1 July 2017. In our first intervention (period 1), intensive care unit (ICU) attending physicians trained residents to use an existing ventilator bundle order set; in our second intervention (period 2), we updated the order set to streamline order entry and incorporate new nurse-driven and respiratory therapist (RT)-driven spontaneous awakening trial (SAT) and spontaneous breathing trial (SBT) protocols. In period 1, the proportion of eligible patients with SAT and SBT orders increased from 29.9% and 51.2% to 67.4% and 72.6%, respectively, with sustained improvements through December 2017. Mean MV duration decreased from 7.2 days at baseline to 5.5 days in period 1 and 4.7 days in period 2; statistical process control charts revealed no significant differences, but the difference between baseline and period 2 MV duration was statistically significant at p=0.049. Bedside audits showed RTs consistently performed indicated SBTs, but there were missed opportunities for SATs due to ICU staff concerns about the SAT protocol. The rarity of VAEs, small population of ventilated patients and infrequent use of sedative infusions at GLA may have decreased the opportunity to achieve staff acceptance and use of the SAT protocol. Quality improvement teams should consider frequency of targeted outcomes when planning interventions; rare events pose challenges in implementation and evaluation of change.

Effective Models Urgently Needed to Improve Physical Care for People With Serious Mental Illnesses

People with serious mental illness have substantially worse health outcomes than people without mental illness. These patients use primary care less often and fail to receive needed preventive and chronic care. While a variety of care models have been implemented with the goal of improving care for these patients, few have been found to be effective. Young et al describes a specialty patient-centered medical home for patients with serious mental illness. In this model, the primary care provider manages the medical and mental health conditions of patients with stable psychiatric symptoms with assistance from a registered nurse and a consulting psychiatrist. The goal of this integrated model is to engage patients in preventive care by building a relationship with them in primary care and understanding both their medical and psychiatric needs. While this model may improve care and increase patient satisfaction, implementing this type of model may be challenging.

Effects of Intensive Primary Care on High-Need Patient Experiences: Survey Findings from a Veterans Affairs Randomized Quality Improvement Trial

BACKGROUND

Intensive primary care programs aim to coordinate care for patients with medical, behavioral, and social complexity, but little is known about their impact on patient experience when implemented in a medical home.

OBJECTIVE

Determine how augmenting the VA's medical home (Patient Aligned Care Team, PACT) with a PACT-Intensive Management (PIM) program influences patient experiences with care coordination, access, provider relationships, and satisfaction.

DESIGN

Cross-sectional analysis of patient survey data from a five-site randomized quality improvement study.

PARTICIPANTS

Two thousand five hundred sixty-six Veterans with hospitalization risk scores ≥ 90th percentile and recent acute care.

INTERVENTION

PIM offered patients intensive care coordination, including home visits, accompaniment to specialists, acute care follow-up, and case management from a team staffed by primary care providers, social workers, psychologists, nurses, and/or other support staff.

MAIN MEASURES

Patient-reported experiences with care coordination (e.g., health goal assessment, test and appointment follow-up, Patient Assessment of Chronic Illness Care (PACIC)), access to healthcare services, provider relationships, and satisfaction.

KEY RESULTS

Seven hundred fifty-nine PIM and 768 PACT patients responded to the survey (response rate 60%). Patients randomized to PIM were more likely than those in PACT to report that they were asked about their health goals (AOR = 1.26; P = 0.046) and that they have a VA provider whom they trust (AOR = 1.35; P = 0.005). PIM patients also had higher mean (SD) PACIC scores compared with PACT patients (2.91 (1.31) vs. 2.75 (1.25), respectively; P = 0.022) and were more likely to report 10 out of 10 on satisfaction with primary care (AOR = 1.25; P = 0.048). However, other effects on coordination, access, and satisfaction did not achieve statistical significance.

CONCLUSIONS

Augmenting VA's patient-centered medical home with intensive primary care had a modestly positive influence on high-risk patients' experiences with care coordination and provider relationships, but did not have a significant impact on most patient-reported access and satisfaction measures.

Development of a web-based toolkit to support improvement of care coordination in primary care

Promising practices for the coordination of chronic care exist, but how to select and share these practices to support quality improvement within a healthcare system is uncertain. This study describes an approach for selecting high-quality tools for an online care coordination toolkit to be used in Veterans Health Administration (VA) primary care practices. We evaluated tools in three steps: (1) an initial screening to identify tools relevant to care coordination in VA primary care, (2) a two-clinician expert review process assessing tool characteristics (e.g. frequency of problem addressed, linkage to patients' experience of care, effect on practice workflow, and sustainability with existing resources) and assigning each tool a summary rating, and (3) semi-structured interviews with VA patients and frontline clinicians and staff. Of 300 potentially relevant tools identified by searching online resources, 65, 38, and 18 remained after steps one, two and three, respectively. The 18 tools cover five topics: managing referrals to specialty care, medication management, patient after-visit summary, patient activation materials, agenda setting, patient pre-visit packet, and provider contact information for patients. The final toolkit provides access to the 18 tools, as well as detailed information about tools' expected benefits, and resources required for tool implementation. Future care coordination efforts can benefit from systematically reviewing available tools to identify those that are high quality and relevant.

Identifying Latent Subgroups of High-Risk Patients Using Risk Score Trajectories

OBJECTIVE

Many healthcare systems employ population-based risk scores to prospectively identify patients at high risk of poor outcomes, but it is unclear whether single point-in-time scores adequately represent future risk. We sought to identify and characterize latent subgroups of high-risk patients based on risk score trajectories.

STUDY DESIGN

Observational study of 7289 patients discharged from Veterans Health Administration (VA) hospitals during a 1-week period in November 2012 and categorized in the top 5th percentile of risk for hospitalization.

METHODS

Using VA administrative data, we calculated weekly risk scores using the validated Care Assessment Needs model, reflecting the predicted probability of hospitalization. We applied the non-parametric k-means algorithm to identify latent subgroups of patients based on the trajectory of patients' hospitalization probability over a 2-year period. We then compared baseline sociodemographic characteristics, comorbidities, health service use, and social instability markers between identified latent subgroups.

RESULTS

The best-fitting model identified two subgroups: moderately high and persistently high risk. The moderately high subgroup included 65% of patients and was characterized by moderate subgroup-level hospitalization probability decreasing from 0.22 to 0.10 between weeks 1 and 66, then remaining constant through the study end. The persistently high subgroup, comprising the remaining 35% of patients, had a subgroup-level probability increasing from 0.38 to 0.41 between weeks 1 and 52, and declining to 0.30 at study end. Persistently high-risk patients were older, had higher prevalence of social instability and comorbidities, and used more health services.

CONCLUSIONS

On average, one third of patients initially identified as high risk stayed at very high risk over a 2-year follow-up period, while risk for the other two thirds decreased to a moderately high level. This suggests that multiple approaches may be needed to address high-risk patient needs longitudinally or intermittently.

A clustered controlled trial of the implementation and effectiveness of a medical home to improve health care of people with serious mental illness: study protocol

BACKGROUND

People with serious mental illness (SMI) die many years prematurely, with rates of premature mortality two to three times greater than the general population. Most premature deaths are due to "natural causes," especially cardiovascular disease and cancer. Often, people with SMI are not well engaged in primary care treatment and do not receive high-value preventative and medical services. There have been numerous efforts to improve this care, and few controlled trials, with inconsistent results. While people with SMI often do poorly with usual primary care arrangements, research suggests that integrated care and medical care management may improve treatment and outcomes, and reduce treatment costs.

METHODS

This hybrid implementation-effectiveness study is a prospective, cluster controlled trial of a medical home, the SMI Patient-Aligned Care Team (SMI PACT), to improve the healthcare of patients with SMI enrolled with the Veterans Health Administration. The SMI PACT team includes proactive medical nurse care management, and integrated mental health treatment through regular psychiatry consultation and a collaborative care model. Patients are recruited to receive primary care through SMI PACT based on having a serious mental illness that is manageable with treatment, and elevated risk for hospitalization or death. In a site-level prospective controlled trial, this project studies the effect, relative to usual care, of SMI PACT on provision of appropriate preventive and medical treatments, health-related quality of life, satisfaction with care, and medical and mental health treatment utilization and costs. Research includes mixed-methods formative evaluation of usual care and SMI PACT implementation to strengthen the intervention and assess barriers and facilitators. Investigators examine relationships among organizational context, intervention factors, and patient and clinician outcomes, and identify patient factors related to successful patient outcomes.

DISCUSSION

This will be one of the first controlled trials of the implementation and effectiveness of a patient centered medical home for people with serious mental illness. It will provide information regarding the value of this strategy, and processes and tools for implementing this model in community healthcare settings.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT01668355 . Registered August 20, 2012.

An operations-partnered evaluation of care redesign for high-risk patients in the Veterans Health Administration (VHA): Study protocol for the PACT Intensive Management (PIM) randomized quality improvement evaluation

BACKGROUND

Patient-centered medical homes have made great strides providing comprehensive care for patients with chronic conditions, but may not provide sufficient support for patients at highest risk for acute care use. To address this, the Veterans Health Administration (VHA) initiated a five-site demonstration project to evaluate the effectiveness of augmenting the VA's Patient Aligned Care Team (PACT) medical home with PACT Intensive Management (PIM) teams for Veterans at highest risk for hospitalization.

METHODS/DESIGN

Researchers partnered with VHA leadership to design a mixed-methods prospective multi-site evaluation that met leadership's desire for a rigorous evaluation conducted as quality improvement rather than research. We conducted a randomized QI evaluation and assigned high-risk patients to participate in PIM and compared them with high-risk Veterans receiving usual care through PACT. The summative evaluation examines whether PIM: 1) decreases VHA emergency department and hospital use; 2) increases satisfaction with VHA care; 3) decreases provider burnout; and 4) generates positive returns on investment. The formative evaluation aims to support improved care for high-risk patients at demonstration sites and to inform future initiatives for high-risk patients. The evaluation was reviewed by representatives from the VHA Office of Research and Development and the Office of Research Oversight and met criteria for quality improvement.

DISCUSSION

VHA aims to function as a learning organization by rapidly implementing and rigorously testing QI innovations prior to final program or policy development. We observed challenges and opportunities in designing an evaluation consistent with QI standards and operations priorities, while also maintaining scientific rigor.

TRIAL REGISTRATION

This trial was retrospectively registered at ClinicalTrials.gov on April 3, 2017: NCT03100526. Protocol v1, FY14-17.

What are the key elements for implementing intensive primary care? A multisite Veterans Health Administration case study

Many integrated health systems and accountable care organizations have turned to intensive primary care programs to improve quality of care and reduce costs for high-need high-cost patients. How best to implement such programs remains an active area of discussion. In 2014, the Veterans Health Administration (VHA) implemented five distinct intensive primary care programs as part of a demonstration project that targeted Veterans at the highest risk for hospitalization. We found that programs evolved over time, eventually converging on the implementation of the following elements: 1) an interdisciplinary care team, 2) chronic disease management, 3) comprehensive patient assessment and evaluation, 4) care and case management, 5) transitional care support, 6) preventive home visits, 7) pharmaceutical services, 8) chronic disease self-management, 9) caregiver support services, 10) health coaching, and 11) advanced care planning. The teams also found that including social workers and mental health providers on the interdisciplinary teams was critical to effectively address psychosocial needs of these complex patients. Having a central implementation coordinator facilitated the convergence of these program features across diverse demonstration sites. In future iterations of these programs, VHA intends to standardize staffing and key features to develop a scalable program that can be disseminated throughout the system.

Cancer risk in the relatives of patients with nasopharyngeal carcinoma—a register-based cohort study in Sweden

BACKGROUND

Little is known about cancer susceptibility among relatives of nasopharyngeal carcinoma (NPC) patients in non-endemic areas. We conducted a register-based cohort study to assess the relative risks (RRs) of cancer in families of NPC probands in Sweden.

METHODS

By linking 11,602,616 Swedish-born individuals (defined as 'general population') identified from national censuses to the Swedish Cancer Register and Multi-Generation Register, we identified 9157 relatives (3645 first-degree and 5512 second-degree) of 1211 NPC probands. Cancer incidence during 1961-2009 was ascertained through the Cancer Register. Relative risks of cancer in the relatives of NPC probands, compared with the rest of the general population, were calculated from Poisson regression models.

RESULTS

First-degree relatives had higher risks of NPC (N=2, RR=4.29, 95% confidence interval (CI)=1.07 to 17.17) and cancers of the larynx (N=5, RR=2.53, 95% CI=1.05 to 6.09), prostate (N=76, RR=1.35, 95% CI=1.07 to 1.68), and thyroid (N=10, RR=2.44, 95% CI=1.31 to 4.53) than the rest of the general population. In addition, a raised risk of cancer of the salivary glands was observed among first-degree relatives of probands with undifferentiated NPC (N=2, RR=6.64, 95% CI=1.66 to 26.57). In contrast, a decreased risk of colorectal cancer was observed in first- and second-degree relatives (N=43, RR=0.71, 95% CI=0.53 to 0.96).

CONCLUSION

The increased risk of NPC and certain other cancers among first-degree relatives may be explained by shared genetic and environmental risk factors, the latter including Epstein-Barr virus infection and smoking or by increased diagnostic intensity.

Comorbid depression and substance abuse among safety-net clients in Los Angeles: a community participatory study

OBJECTIVE

Depression and substance abuse are common among low-income adults from racial-ethnic minority groups who receive services in safety-net settings, although little is known about how clients differ by service setting. This study examined characteristics and service use among depressed, low-income persons from minority groups in underresourced communities who did and did not have a substance abuse history.

METHODS

The study used cross-sectional baseline client data (N=957) from Community Partners in Care, an initiative to improve depression services in Los Angeles County. Clients with probable depression (eight-item Patient Health Questionnaire) from substance abuse programs were compared with depressed clients with and without a history of substance abuse from primary care, mental health, and social and community programs. Sociodemographic, health status, and services utilization variables were examined.

RESULTS

Of the 957 depressed clients, 217 (23%) were from substance abuse programs; 269 (28%) clients from other sectors had a substance abuse history, and 471 (49%) did not. Most clients from substance abuse programs or with a substance abuse history were unemployed and impoverished, lacked health insurance, and had high rates of arrests and homelessness. They were also more likely than clients without a substance abuse history to have depression or anxiety disorders, psychosis, and mania and to use emergency rooms.

CONCLUSIONS

Clients with depression and a substance abuse history had significant psychosocial stressors and high rates of service use, which suggests that communitywide approaches may be needed to address both depression and substance abuse in this safety-net population.

The anatomy of primary care and mental health clinician communication: a quality improvement case study

BACKGROUND

The high prevalence of comorbid physical and mental illnesses among veterans is well known. Therefore, ensuring effective communication between primary care (PC) and mental health (MH) clinicians in the Veterans Affairs (VA) health care system is essential. The VA's Patient Aligned Care Teams (PACT) initiative has further raised awareness of the need for communication between PC and MH. Improving such communication, however, has proven challenging.

OBJECTIVE

To qualitatively understand barriers to PC-MH communication in an academic community-based clinic by using continuous quality improvement (CQI) tools and then initiate a change strategy.

DESIGN, PARTICIPANTS, AND APPROACH

An interdisciplinary quality improvement (QI) work group composed of 11 on-site PC and MH providers, administrators, and researchers identified communication barriers and facilitators using fishbone diagrams and process flow maps. The work group then verified and provided context for the diagram and flow maps through medical record review (32 patients who received both PC and MH care), interviews (6 stakeholders), and reports from four previously completed focus groups. Based on these findings and a previous systematic review of interventions to improve interspecialty communication, the team initiated plans for improvement.

KEY RESULTS

Key communication barriers included lack of effective standardized communication processes, practice style differences, and inadequate PC training in MH. Clinicians often accessed advice or formal consultation based on pre-existing across-discipline personal relationships. The work group identified collocated collaborative care, joint care planning, and joint case conferences as feasible, evidence-based interventions for improving communication.

CONCLUSIONS

CQI tools enabled providers to systematically assess local communication barriers and facilitators and engaged stakeholders in developing possible solutions. A locally tailored CQI process focusing on communication helped initiate change strategies and ongoing improvement efforts.

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

BACKGROUND

Primary care providers (PCPs) vary in skills to effectively treat depression. Key features of evidence-based collaborative care models (CCMs) include the availability of depression care managers (DCMs) and mental health specialists (MHSs) in primary care. Little is known, however, about the relationships between PCP characteristics, CCM features, and PCP depression care.

OBJECTIVE

To assess relationships between various CCM features, PCP characteristics, and PCP depression management.

DESIGN

Cross-sectional analysis of a provider survey.

PARTICIPANTS

180 PCPs in eight VA sites nationwide.

MAIN MEASURES

Independent variables included scales measuring comfort and difficulty with depression care; collaboration with a MHS; self-reported depression caseload; availability of a collocated MHS, and co-management with a DCM or MHS. Covariates included provider type and gender. For outcomes, we assessed PCP self-reported performance of key depression management behaviors in primary care in the past 6 months.

KEY RESULTS

Response rate was 52 % overall, with 47 % attending physicians, 34 % residents, and 19 % nurse practitioners and physician assistants. Half (52 %) reported greater than eight veterans with depression in their panels and a MHS collocated in primary care (50 %). Seven of the eight clinics had a DCM. In multivariable analysis, significant predictors for PCP depression management included comfort, difficulty, co-management with MHSs and numbers of veterans with depression in their panels.

CONCLUSIONS

PCPs who felt greater ease and comfort in managing depression, co-managed with MHSs, and reported higher depression caseloads, were more likely to report performing depression management behaviors. Neither a collocated MHS, collaborating with a MHS, nor co-managing with a DCM independently predicted PCP depression management. Because the success of collaborative care for depression depends on the ability and willingness of PCPs to engage in managing depression themselves, along with other providers, more research is necessary to understand how to engage PCPs in depression management.

Hodgkin lymphoma incidence in California Hispanics: influence of nativity and tumor Epstein-Barr virus

PURPOSE

For classical Hodgkin lymphoma (HL), migrant studies could elucidate contributions of environmental factors (including Epstein-Barr virus (EBV)) to the lower rates in non-whites. Given the well-described etiologic complexity of HL, this research requires a large, immigrant population, such as California Hispanics.

METHODS

With 1988-2004 California Cancer Registry data (2,595 Hispanic, 8,637 white HL cases) and tumor cell EBV status on a subset (218 Hispanics, 656 whites), we calculated ethnicity- and nativity-specific HL incidence rates simultaneously by age, sex, and histologic subtype, and tumor cell EBV prevalence.

RESULTS

Compared with white rates, Hispanic HL rates were lower overall (70 %) and for nodular sclerosis HL, particularly among young adults (60-65 % for females). However, they were higher among children (200 %) and older adults, and for mixed cellularity HL. Compared with rates in foreign-born Hispanics, rates in US-born Hispanics were higher among young adults (>threefold in females), lower for children and adults over age 70, and consistently intermediate compared with rates in whites. EBV tumor prevalence was 67, 32, and 23 % among foreign-born Hispanics, US-born Hispanics, and whites, respectively, although with variation by age, sex, and histology.

CONCLUSIONS

Findings strongly implicate environmental influences, such as nativity-related sociodemographic differences, on HL occurrence. In addition, lower young adult rates and higher EBV prevalence in US-born Hispanics than in whites raise questions about the duration/extent of environmental change for affecting HL rates and also point to ethnic differences in genetic susceptibility. Lesser variation in mixed cellularity HL rates and greater variation in rates for females across groups suggest less modifiable factors interacting with environmental influences.

Risk of lymphoma subtypes after solid organ transplantation in the United States

BACKGROUND

Solid organ transplant recipients have high risk of lymphomas, including non-Hodgkin lymphoma (NHL) and Hodgkin lymphoma (HL). A gap in our understanding of post-transplant lymphomas involves the spectrum and associated risks of their many histologic subtypes.

METHODS

We linked nationwide data on solid organ transplants from the US Scientific Registry of Transplant Recipients (1987-2008) to 14 state and regional cancer registries, yielding 791 281 person-years of follow-up for 19 distinct NHL subtypes and HL. We calculated standardised incidence ratios (SIRs) and used Poisson regression to compare SIRs by recipient age, transplanted organ, and time since transplantation.

RESULTS

The risk varied widely across subtypes, with strong elevations (SIRs 10-100) for hepatosplenic T-cell lymphoma, Burkitt's lymphoma, NK/T-cell lymphoma, diffuse large B-cell lymphoma, and anaplastic large-cell lymphoma (both systemic and primary cutaneous forms). Moderate elevations (SIRs 2-4) were observed for HL and lymphoplasmacytic, peripheral T-cell, and marginal zone lymphomas, but SIRs for indolent lymphoma subtypes were not elevated. Generally, SIRs were highest for younger recipients (<20 years) and those receiving organs other than kidneys.

CONCLUSION

Transplant recipients experience markedly elevated risk of a distinct spectrum of lymphoma subtypes. These findings support the aetiologic relevance of immunosuppression for certain subtypes and underscore the importance of detailed haematopathologic workup for transplant recipients with suspected lymphoma.

Cigarette smoking and risk of Hodgkin lymphoma and its subtypes: a pooled analysis from the International Lymphoma Epidemiology Consortium (InterLymph)

BACKGROUND

The etiology of Hodgkin lymphoma (HL) remains incompletely characterized. Studies of the association between smoking and HL have yielded ambiguous results, possibly due to differences between HL subtypes.

PATIENTS AND METHODS

Through the InterLymph Consortium, 12 case-control studies regarding cigarette smoking and HL were identified. Pooled analyses on the association between smoking and HL stratified by tumor histology and Epstein-Barr virus (EBV) status were conducted using random effects models adjusted for confounders. Analyses included 3335 HL cases and 14 278 controls.

RESULTS

Overall, 54.5% of cases and 57.4% of controls were ever cigarette smokers. Compared with never smokers, ever smokers had an odds ratio (OR) of HL of 1.10 [95% confidence interval (CI) 1.01-1.21]. This increased risk reflected associations with mixed cellularity cHL (OR = 1.60, 95% CI 1.29-1.99) and EBV-positive cHL (OR = 1.81, 95% CI 1.27-2.56) among current smokers, whereas risk of nodular sclerosis (OR = 1.09, 95% CI 0.90-1.32) and EBV-negative HL (OR = 1.02, 95% CI 0.72-1.44) was not increased.

CONCLUSION

These results support the notion of etiologic heterogeneity between HL subtypes, highlighting the need for HL stratification in future studies. Even if not relevant to all subtypes, our study emphasizes that cigarette smoking should be added to the few modifiable HL risk factors identified.

Determinants of readiness for primary care-mental health integration (PC-MHI) in the VA Health Care System

BACKGROUND

Depression management can be challenging for primary care (PC) settings. While several evidence-based models exist for depression care, little is known about the relationships between PC practice characteristics, model characteristics, and the practice's choices regarding model adoption.

OBJECTIVE

We examined three Veterans Affairs (VA)-endorsed depression care models and tested the relationships between theoretically-anchored measures of organizational readiness and implementation of the models in VA PC clinics.

DESIGN

1) Qualitative assessment of the three VA-endorsed depression care models, 2) Cross-sectional survey of leaders from 225 VA medium-to-large PC practices, both in 2007.

MAIN MEASURES

We assessed PC readiness factors related to resource adequacy, motivation for change, staff attributes, and organizational climate. As outcomes, we measured implementation of one of the VA-endorsed models: collocation, Translating Initiatives in Depression into Effective Solutions (TIDES), and Behavioral Health Lab (BHL). We performed bivariate and, when possible, multivariate analyses of readiness factors for each model.

KEY RESULTS

Collocation is a relatively simple arrangement with a mental health specialist physically located in PC. TIDES and BHL are more complex; they use standardized assessments and care management based on evidence-based collaborative care principles, but with different organizational requirements. By 2007, 107 (47.5 %) clinics had implemented collocation, 39 (17.3 %) TIDES, and 17 (7.6 %) BHL. Having established quality improvement processes (OR 2.30, [1.36, 3.87], p = 0.002) or a depression clinician champion (OR 2.36, [1.14, 4.88], p = 0.02) was associated with collocation. Being located in a VA regional network that endorsed TIDES (OR 8.42, [3.69, 19.26], p < 0.001) was associated with TIDES implementation. The presence of psychologists or psychiatrists on PC staff, greater financial sufficiency, or greater spatial sufficiency was associated with BHL implementation.

CONCLUSIONS

Both readiness factors and characteristics of depression care models influence model adoption. Greater model simplicity may make collocation attractive within local quality improvement efforts. Dissemination through regional networks may be effective for more complex models such as TIDES.

Oral Contraceptive, Menopausal Hormone Therapy Use and Risk of non-Hodgkin Lymphoma in the California Teachers Study

Objective: To evaluate whether use of oral contraceptives (OCs) or menopausal hormonal therapy (MHT) is associated with B-cell non-Hodgkin lymphoma (NHL).

Methods: Within the prospective California Teachers Study cohort, women under age 85 with no history of hematopoietic cancer were followed from 1995 through 2007 for diagnosis of B-cell NHL. Overall, 547 women of 116,779 women eligible for analysis of OC use and 402 of 54,758 postmenopausal women eligible for analysis of MHT use developed B-cell NHL. Relative risks (RR) and 95% confidence intervals (CI) were estimated by fitting multivariable Cox proportional hazards models.

Results: Women who used OCs had marginally lower risk of B-cell NHL than women who had never used OCs (RR = 0.86, 95% CI = 0.69-1.06). The reduced risk was most pronounced among women who started OCs before age 25, but did not decrease with increasing duration. No association with MHT was observed when MHT ever users were compared to the never users (RR = 1.05, 95% CI = 0.83-1.33); this result was consistent across formulations of MHT [unopposed estrogen therapy (ET), combined estrogen and progestin therapy (EPT)]. Among women who had never used MHT, women with a bilateral oophorectomy had three times greater risk than those with natural menopause (RR = 3.15, 95% CI = 1.62-6.13), whereas there was no association with bilateral oophorectomy among women who had used MHT. In stratified analyses according to hysterectomy and oophrectomy status, ET and EPT did not affect risk for women with natural menopause or those with hysterectomy who had at least part of an ovary remaining. Among women who had a bilateral oophorectomy, ET reduced risk of NHL (RR = 0.41, 95% CI = 0.21-0.82).

Conclusion: These data suggest that ET use decreases the risk of B-cell NHL among women with both ovaries removed, but not among women retaining at least part of an ovary. In other subgroups MHT does not influence risk. Additional study of associations of MHT and OCs with B-cell NHL are warranted.

Family history of haematopoietic malignancies and non-Hodgkin's lymphoma risk in the California Teachers Study

Family history of haematopoietic malignancies appears to be a risk factor for non-Hodgkin's lymphoma (NHL), but whether risk varies by family member's gender is unclear. Among 121 216 women participating in the prospective California Teachers Study, NHL risk varied by type of haematopoietic malignancy and gender of the relative.

Differences in breast cancer subtype distribution exist among ethnic subgroups of Asian women in California

Abstract #2088

Background: Distinct breast cancer subtypes have been identified by gene expression analysis. Little is known about the distribution of these subtypes among Asian women. We previously reported an increased frequency of HER2-positive breast cancers among certain ethnic subgroups of Asian women in California. To follow up on that finding in detail, we undertook the current analysis to explore factors associated with differences in breast cancer subtype distribution among Asian women in California.&#x2028; Methods: We defined immunohistochemical surrogates for each breast cancer subtype among Chinese, Japanese, Filipina, Korean, Vietnamese and South Asian patients in the population-based California Cancer Registry diagnosed in the period 1999-2005. Subtypes were defined using combinations of immunohistochemical markers: luminal A (ER+ and/or PR+, HER2-), luminal B (ER+ and/or PR+, HER2+), basal-like (ER-, PR-, HER2-) and HER2+/ER- (ER-, PR-, HER2+). Polytomous logistic regression was used to evaluate associations between breast cancer subtype and age, race, AJCC stage, tumor grade, tumor histology, socioeconomic status, nativity and hospital ownership (private vs. public). Models were used to compare differences in these characteristics simultaneously across the four breast cancer subtypes.&#x2028; Results: Of 12,245 Asian women diagnosed with invasive breast cancer, 7,217 (59%) women had data for all three immunohistochemical markers. The majority of breast cancers among Japanese women were of the luminal A subtype (67%), with a low frequency of basal-like (10%) and HER2+ (22%) cancers. Korean, Filipina and Vietnamese women had a high frequency of HER2+ cancers (35%, 31% and 31%, respectively) compared to Non-Hispanic White women diagnosed during this period (n=12,996, 21%). In regression analyses among Asian women, the four subtypes varied significantly in their associations with age group (p=0.01), detailed Asian ethnicity (p&lt;0.0001), stage (p&lt;0.0001), grade (p&lt;0.0001), histology (p&lt;0.0001), year of diagnosis (continuous; p=0.03) and hospital ownership (p&lt;0.0001). However, there was no significant variation among the subtypes in their relationships with socioeconomic status (p=0.94) or nativity (p=0.29).&#x2028; Conclusions: Differences in the distribution of breast cancer subtypes exist among Asian women according to ethnicity, as well as other demographic and disease characteristics. These differences were not associated with place of birth or socioeconomic status. Breast cancers among Japanese women had the most favorable subtype distribution, while Korean women had the least favorable distribution. Further study may identify genetic and environmental risk factors responsible for these differences, with implications for prevention and treatment.

Citation Information: Cancer Res 2009;69(2 Suppl):Abstract nr 2088.

Immunological quantitation and localization of ACAT-1 and ACAT-2 in human liver and small intestine

By using specific anti-ACAT-1 antibodies in immunodepletion studies, we previously found that ACAT-1, a 50-kDa protein, plays a major catalytic role in the adult human liver, adrenal glands, macrophages, and kidneys but not in the intestine. Acyl-coenzyme A:cholesterol acyltransferase (ACAT) activity in the intestine may be largely derived from a different ACAT protein. To test this hypothesis, we produced specific polyclonal anti-ACAT-2 antibodies that quantitatively immunodepleted human ACAT-2, a 46-kDa protein expressed in Chinese hamster ovary cells. In hepatocyte-like HepG2 cells, ACAT-1 comprises 85-90% of the total ACAT activity, with the remainder attributed to ACAT-2. In adult intestines, most of the ACAT activity can be immunodepleted by anti-ACAT-2. ACAT-1 and ACAT-2 do not form hetero-oligomeric complexes. In differentiating intestinal enterocyte-like Caco-2 cells, ACAT-2 protein content increases by 5-10-fold in 6 days, whereas ACAT-1 protein content remains relatively constant. In the small intestine, ACAT-2 is concentrated at the apices of the villi, whereas ACAT-1 is uniformly distributed along the villus-crypt axis. In the human liver, ACAT-1 is present in both fetal and adult hepatocytes. In contrast, ACAT-2 is evident in fetal but not adult hepatocytes. Our results collectively suggest that in humans, ACAT-2 performs significant catalytic roles in the fetal liver and in intestinal enterocytes.

Recombinant acyl-CoA:cholesterol acyltransferase-1 (ACAT-1) purified to essential homogeneity utilizes cholesterol in mixed micelles or in vesicles in a highly cooperative manner

Acyl-coenzyme A:cholesterol acyltransferase (ACAT) is an integral membrane protein located in the endoplasmic reticulum. It catalyzes the formation of cholesteryl esters from cholesterol and long-chain fatty acyl coenzyme A. The first gene encoding the enzyme, designated as ACAT-1, was identified in 1993 through an expression cloning approach. We isolated a Chinese hamster ovary cell line that stably expresses the recombinant human ACAT-1 protein bearing an N-terminal hexahistidine tag. We purified this enzyme approximately 7000-fold from crude cell extracts by first solubilizing the cell membranes with the zwitterionic detergent 3-[(3-cholamidopropyl)dimethylammonio]-1-propanesulfonate, then proceeding with an ACAT-1 monoclonal antibody affinity column and an immobilized metal affinity column. The final preparation is enzymologically active and migrates as a single band at 54 kDa on SDS-polyacrylamide gel electrophoresis. Pure ACAT-1 dispersed in mixed micelles containing sodium taurocholate, phosphatidylcholine, and cholesterol remains catalytically active. The cholesterol substrate saturation curves of the enzyme assayed either in mixed micelles or in reconstituted vesicles are both highly sigmoidal. The oleoyl-coenzyme A substrate saturation curves of the enzyme assayed under the same conditions are both hyperbolic. These results support the hypothesis that ACAT is an allosteric enzyme regulated by cholesterol.

A novel 160-kDa phosphotyrosine protein in insulin-treated embryonic kidney cells is a new member of the insulin receptor substrate family

We have previously identified a 160-kDa protein in human embryonic kidney (HEK) 293 cells that undergoes rapid tyrosine phosphorylation in response to insulin (PY160) (Kuhné, M. R., Zhao, Z., and Lienhard, G. E. (1995) Biochem. Biophys. Res. Commun. 211, 190-197). The phosphotyrosine form of PY160 was purified from insulin-treated HEK 293 cells by anti-phosphotyrosine immunoaffinity chromatography, the sequences of peptides determined, and its cDNA cloned. The PY160 cDNA encodes a 1257-amino acid protein that contains, in order from its N terminus, a pleckstrin homology (PH) domain, a phosphotyrosine binding (PTB) domain, and, spread over the C-terminal portion, 12 potential tyrosine phosphorylation sites. Several of these sites are in motifs expected to bind specific SH2 domain-containing proteins: YXXM (7 sites), phosphatidylinositol 3-kinase; YVNM (1 site), Grb-2; and YIEV (1 site), either the protein-tyrosine phosphatase SHP-2 or phospholipase Cgamma. Furthermore, the PH and PTB domains are highly homologous (at least 40% identical) to those found in insulin receptor substrates 1, 2, and 3 (IRS-1, IRS-2, and IRS-3). Thus, PY160 is a new member of the IRS family, which we have designated IRS-4.