Understanding How Contingency Staffing Programs Can Support Mental Health Services in the Veterans Health Administration.

Introduction: Beginning in 2019, the Department of Veterans Affairs (VA) prioritized improving access to care nationally to deliver virtual care and implemented 18 regionally based Clinical Resource Hubs (CRHs) to meet this priority. This observational study describes the quantity and types of care delivered by CRH Mental Health teams, and the professions of those hired to deliver it. Methods: A retrospective cohort study, based on national VA CRH mental health care utilization data and CRH staffing data for CRH's first 3 years, was conducted. Results: CRH Mental Health teams primarily used Telemental Health (TMH) to provide care (98.1% of all CRH MH encounters). The most common disorders treated included depression, post-traumatic stress disorder, and anxiety disorders. The amount of care delivered overtime steadily increased as did the racial and ethnic diversity of Veterans served. Psychologists accounted for the largest share of CRH staffing, followed by psychiatrists. Conclusions: CRH TMH delivered from a regional hub appears to be a feasible and acceptable visit modality, based on the continuously increasing CRH TMH visit rates. Our results showed that CRH TMH was predominantly used to address common mental health diagnoses, rather than serious mental illnesses. Traditionally marginalized patient populations increased over the 3-year window, suggesting that CRH TMH resources were accessible to many of these patients. Future research should assess barriers and facilitators for accessing CRH TMH, especially for difficult-to-service patient populations, and should consider whether similar results to ours occur when regional TMH is delivered to non-VA patient populations.

Impact of Evidence-Based Quality Improvement on Tailoring VA's Patient-Centered Medical Home Model to Women Veterans' Needs.

BACKGROUND: Women Veterans' numerical minority, high rates of military sexual trauma, and gender-specific healthcare needs have complicated implementation of comprehensive primary care (PC) under VA's patient-centered medical home model, Patient Aligned Care Teams (PACT). OBJECTIVE: We deployed an evidence-based quality improvement (EBQI) approach to tailor PACT to meet women Veterans' needs and studied its effects on women's health (WH) care readiness, team-based care, and burnout. DESIGN: We evaluated EBQI effectiveness in a cluster randomized trial with unbalanced random allocation of 12 VAMCs (8 EBQI vs. 4 control). Clinicians/staff completed web-based surveys at baseline (2014) and 24 months (2016). We adjusted for individual-level covariates (e.g., years at VA) and weighted for non-response in difference-in-difference analyses for readiness and team-based care overall and by teamlet type (mixed-gender PC-PACTs vs. women-only WH-PACTs), as well as post-only burnout comparisons. PARTICIPANTS: We surveyed all clinicians/staff in general PC and WH clinics. INTERVENTION: EBQI involved structured engagement of multilevel, multidisciplinary stakeholders at network, VAMC, and clinic levels toward network-specific QI roadmaps. The research team provided QI training, formative feedback, and external practice facilitation, and support for cross-site collaboration calls to VAMC-level QI teams, which developed roadmap-linked projects adapted to local contexts. MAIN MEASURES: WH care readiness (confidence providing WH care, self-efficacy implementing PACT for women, barriers to providing care for women, gender sensitivity); team-based care (change-readiness, communication, decision-making, PACT-related QI, functioning); burnout. KEY RESULTS: Overall, EBQI had mixed effects which varied substantively by type of PACT. In PC-PACTs, EBQI increased self-efficacy implementing PACT for women and gender sensitivity, even as it lowered confidence. In contrast, in WH-PACTs, EBQI improved change-readiness, team-based communication, and functioning, and was associated with lower burnout. CONCLUSIONS: EBQI effectiveness varied, with WH-PACTs experiencing broader benefits and PC-PACTs improving basic WH care readiness. Lower confidence delivering WH care by PC-PACT members warrants further study. TRIAL REGISTRATION: The data in this paper represent results from a cluster randomized controlled trial registered in ClinicalTrials.gov (NCT02039856).

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.

Associations Between Primary Care Providers and Staff-Reported Access Management Challenges and Patient Perceptions of Access.

BACKGROUND/OBJECTIVE: Optimizing patients' access to primary care is critically important but challenging. In a national survey, we asked primary care providers and staff to rate specific care processes as access management challenges and assessed whether clinics with more of these challenges had worse access outcomes. METHODS: Study design: Cross sectional. National Primary Care Personnel Survey (NPCPS) (2018) participants included 6210 primary care providers (PCPs) and staff in 813 clinics (19% response rate) and 158,645 of their patients. We linked PCP and staff ratings of access management challenges to veterans' perceived access from 2018-2019 Survey of Healthcare Experiences of Patients-Patient Centered Medical Home (SHEP-PCMH) surveys (35.6% response rate). MAIN MEASURES: The NPCPS queried PCPs and staff about access management challenges. The mean overall access challenge score was 28.6, SD 6.0. The SHEP-PCMH access composite asked how often veterans reported always obtaining urgent appointments same/next day; routine appointments when desired and having medical questions answered during office hours. ANALYTIC APPROACH: We aggregated PCP and staff responses to clinic level, and use multi-level, multivariate logistic regressions to assess associations between clinic-level access management challenges and patient perceptions of access. We controlled for veteran-, facility-, and area-level characteristics. KEY RESULTS: Veterans at clinics with more access management challenges (> 75th percentile) had a lower likelihood of reporting always receiving timely urgent care appointments (AOR: .86, 95% CI: .78-.95); always receiving routine appointments (AOR: .74, 95% CI: .67-.82); and always reporting same- or next-day answers to telephone questions (AOR: .79, 95% CI: .70-.90) compared to veterans receiving care at clinics with fewer (< 25th percentile) challenges. DISCUSSION/CONCLUSION: Findings show a strong relationship between higher levels of access management challenges and worse patient perceptions of access. Addressing access management challenges, particularly those associated with call center communication, may be an actionable path for improved patient experience.

Learning from national implementation of the Veterans Affairs Clinical Resource Hub (CRH) program for improving access to care: protocol for a six year evaluation.

BACKGROUND: The Veterans Affairs (VA) Clinical Resource Hub (CRH) program aims to improve patient access to care by implementing time-limited, regionally based primary or mental health staffing support to cover local staffing vacancies. VA's Office of Primary Care (OPC) designed CRH to support more than 1000 geographically disparate VA outpatient sites, many of which are in rural areas, by providing virtual contingency clinical staffing for sites experiencing primary care and mental health staffing deficits. The subsequently funded CRH evaluation, carried out by the VA Primary Care Analytics Team (PCAT), partnered with CRH program leaders and evaluation stakeholders to develop a protocol for a six-year CRH evaluation. The objectives for developing the CRH evaluation protocol were to prospectively: 1) identify the outcomes CRH aimed to achieve, and the key program elements designed to achieve them; 2) specify evaluation designs and data collection approaches for assessing CRH progress and success; and 3) guide the activities of five geographically dispersed evaluation teams. METHODS: The protocol documents a multi-method CRH program evaluation design with qualitative and quantitative elements. The evaluation's overall goal is to assess CRH's return on investment to the VA and Veterans at six years through synthesis of findings on program effectiveness. The evaluation includes both observational and quasi-experimental elements reflecting impacts at the national, regional, outpatient site, and patient levels. The protocol is based on program evaluation theory, implementation science frameworks, literature on contingency staffing, and iterative review and revision by both research and clinical operations partners. DISCUSSION: Health systems increasingly seek to use data to guide management and decision-making for newly implemented clinical programs and policies. Approaches for planning evaluations to accomplish this goal, however, are not well-established. By publishing the protocol, we aim to increase the validity and usefulness of subsequent evaluation findings. We also aim to provide an example of a program evaluation protocol developed within a learning health systems partnership.

A Scoping Review of Guidelines and Quality Measures to Screen for Social and Caregiver Support and Cognitive Impairment in Primary Care.

High-risk patients-those patients with complex health care needs who are most likely to face hospitalization or death in the following two years-are most often initially seen in the primary care setting. This small group of patients uses a disproportionate amount of care resources. Contributing to the challenges of care planning for this population is that individuals are highly heterogeneous; no two patients present the same set of symptoms, diagnoses, and challenges related to social determinants of health (SDOH). Methods for early identification of these high-risk patients-and their care needs-have raised the possibility of timely enhanced care. In this study, the authors conduct a scoping review to identify existing measures of care quality; assessment and screening guidelines; and tools that (1) assess social support, the need for caregiver support, and the need for referral to social services and (2) screen for cognitive impairment (CI). Evidence-based screening guidelines define who and what should be assessed-and how often-to enhance care quality and improve health outcomes, whereas measures permit ascertainment that this assessment is occurring. Evidence-based guidelines and measures-those that are found to lead to better health care outcomes-would be candidates for inclusion in a measure dashboard for high-risk patients in primary care settings.

The Clinical Resource Hub Initiative: First-Year Implementation of the Veterans Health Administration Regional Telehealth Contingency Staffing Program.

Health care systems face challenges providing accessible health care across geographically disparate sites. The Veterans Health Administration (VHA) developed regional telemedicine service focusing initially on primary care and mental health services. The objective of this study is to describe the program and progress during the early implementation. In its first year, the Clinical Resource Hub program provided 244 515 encounters to 95 684 Veterans at 475 sites. All 18 regions met or exceeded minimum implementation requirements. The regionally based telehealth contingency staffing hub met early implementation goals. Further evaluation to review sustainability and impact on provider experience and patient outcomes is needed.

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.

Electronic Population-Based Depression Detection and Management Through Universal Screening in the Veterans Health Administration.

Importance: In 2016, the US Preventive Services Task Force newly recommended universal screening for depression, with the expectation that screening would be associated with appropriate treatment. Few studies have been able to assess the population-based trajectory from screening to receipt of follow-up and treatment for individuals with depression. Objective: To examine adherence to guidelines for follow-up and treatment among primary care patients who newly screened positive for depression in the Veterans Health Administration (VA). Design, Setting, and Participants: This retrospective cohort study used VA electronic data to identify patients who newly screened positive for depression on the 2-item Patient Health Questionnaire at 82 primary care VA clinics in California, Arizona, and New Mexico between October 1, 2015, and September 30, 2019. Data analysis was performed from December 2020 to August 2021. Main Outcomes and Measures: Receipt of guideline-concordant care for screen-positive patients who were determined by clinicians as having depression was assessed. Timely follow-up (within 84 days of screening) was defined as receiving 3 or more mental health specialty visits, 3 or more psychotherapy visits, or 3 or more primary care visits with a depression diagnosis according to the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision. Completing at least minimal treatment (within 12 months) was defined as having 60 days or more of antidepressant prescriptions filled, 4 or more mental health specialty visits, or 3 or more psychotherapy visits. Results: The final cohort included 607 730 veterans (mean [SD] age, 59.4 [18.2] years; 546 516 men [89.9%]; 339 811 non-Hispanic White [55.9%]); 8%, or 82 998 of 997 185 person-years, newly screened positive for depression. Clinicians identified fewer than half with depression (15 155 patients), of whom 32% (5034 of 15 650 person-years) met treatment guidelines for timely follow-up and 77% (12 026 of 15 650 person-years) completed at least minimal treatment. Younger age (odds ratio, 0.990; 95% CI, 0.986-0.993; P < .001), Black race (odds ratio, 1.19; 95% CI, CI 1.05-1.34; P = .01), and having comorbid psychiatric diagnoses were significantly associated with timely follow-up. Individual quality metric components (eg, medication or psychotherapy) were associated differently with overall quality results among patient groups, except for age. Conclusions and Relevance: In this cohort study, most patients met the guidelines for completing at least minimal treatment, but only a minority received timely follow-up after screening positive and being identified as having depression. More research is needed to understand whether the discrepancy between patients who screened positive and patients identified as having depression reflects a gap in recognition of needed care.

Association of Integrated Mental Health Services with Physical Health Quality Among VA Primary Care Patients.

BACKGROUND: Integrated care for comorbid depression and chronic medical disease improved physical and mental health outcomes in randomized controlled trials. The Veterans Health Administration (VA) implemented Primary Care-Mental Health Integration (PC-MHI) across all primary care clinics nationally to increase access to mental/behavioral health treatment, alongside physical health management. OBJECTIVE: To examine whether widespread, pragmatic PC-MHI implementation was associated with improved care quality for chronic medical diseases. DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study included 828,050 primary care patients with at least one quality metric among 396 VA clinics providing PC-MHI services between October 2013 and September 2016. MAIN MEASURE(S): For outcome measures, chart abstractors rated whether diabetes and cardiovascular quality metrics were met for patients at each clinic as part of VA's established quality reporting program. The explanatory variable was the proportion of primary care patients seen by integrated mental health specialists in each clinic annually. Multilevel logistic regression models examined associations between clinic PC-MHI proportion and patient-level quality metrics, adjusting for regional, patient, and time-level effects and clinic and patient characteristics. KEY RESULTS: Median proportion of patients seen in PC-MHI per clinic was 6.4% (IQR=4.7-8.7%). Nineteen percent of patients with diabetes had poor glycemic control (hemoglobin A1c >9%). Five percent had severely elevated blood pressure (>160/100 mmHg). Each two-fold increase in clinic PC-MHI proportion was associated with 2% lower adjusted odds of poor glycemic control (95% CI=0.96-0.99; p=0.046) in diabetes. While there was no association with quality for patients diagnosed with hypertension, patients without diagnosed hypertension had 5% (CI=0.92-0.99; p=0.046) lower adjusted odds of having elevated blood pressures. CONCLUSIONS AND RELEVANCE: Primary care clinics where integrated mental health care reached a greater proportion of patients achieved modest albeit statistically significant gains in key chronic care quality metrics, providing optimism about the expected effects of large-scale PC-MHI implementation on physical health.

The Coordination Toolkit and Coaching Project: Cluster-Randomized Quality Improvement Initiative to Improve Patient Experience of Care Coordination.

BACKGROUND: Given persistent gaps in coordination of care for medically complex primary care patients, efficient strategies are needed to promote better care coordination. OBJECTIVE: The Coordination Toolkit and Coaching project compared two toolkit-based strategies of differing intensity to improve care coordination at VA primary care clinics. DESIGN: Multi-site, cluster-randomized QI initiative. PARTICIPANTS: Twelve VA primary care clinics matched in 6 pairs. INTERVENTIONS: We used a computer-generated allocation sequence to randomize clinics within each pair to two implementation strategies. Active control clinics received an online toolkit with evidence-based tools and QI coaching manual. Intervention clinics received the online toolkit plus weekly assistance from a distance coach for 12 months. MAIN MEASURES: We quantified patient experience of general care coordination using the Health Care System Hassles Scale (primary outcome) mailed at baseline and 12-month follow-up to serial cross-sectional patient samples. We measured the difference-in-difference (DiD) in clinic-level-predicted mean counts of hassles between coached and non-coached clinics, adjusting for clustering and patient characteristics using zero-inflated negative binomial regression and bootstrapping to obtain 95% confidence intervals. Other measures included care coordination QI projects attempted, tools adopted, and patient-reported exposure to projects. KEY RESULTS: N = 2,484 (49%) patients completed baseline surveys and 2,481 (48%) completed follow-ups. Six coached clinics versus five non-coached clinics attempted QI projects. All coached clinics versus two non-coached clinics attempted more than one project or projects that were multifaceted (i.e., involving multiple components addressing a common goal). Five coached versus three non-coached clinics used 1-2 toolkit tools. Both the coached and non-coached clinics experienced pre-post reductions in hassle counts over the study period (- 0.42 (- 0.76, - 0.08) non-coached; - 0.40 (- 0.75, - 0.06) coached). However, the DiD (0.02 (- 0.47, 0.50)) was not statistically significant; coaching did not improve patient experience of care coordination relative to the toolkit alone. CONCLUSION: Although coached clinics attempted more or more complex QI projects and used more tools than non-coached clinics, coaching provided no additional benefit versus the online toolkit alone in patient-reported outcomes. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT03063294.

Depression complexity prevalence and outcomes among veterans affairs patients in integrated primary care.

INTRODUCTION: The Veterans Health Administration (VA) Primary Care-Mental Health Integration (PC-MHI) initiative targets depression (MDD), anxiety/posttraumatic stress disorder (PTSD) and alcohol misuse (AM) for care improvement. In primary care, case finding often relies on depression screening. Whereas clinical practice guidelines solely inform management of depression, minimal information exists to guide treatment when psychiatric symptom clusters coexist. We provide descriptive clinical information for care planners about VA PC patients with depression alone, depression plus alcohol misuse, and depression with complex psychiatric comorbidities (PTSD and/or probable bipolar disorder). METHOD: We examined data from a VA study that used a visit-based sampling procedure to screen 10,929 VA PC patients for depression; 761 patients with probable major depression completed baseline measures of health and care engagement. Follow-up assessments were completed at 7 months. RESULTS: At baseline, 53% of patients evidenced mental health conditions in addition to depression; 10% had concurrent AM, and 43% had psychiatrically complex depression (either with or without AM). Compared with patients with depression alone or depression with AM, those with psychiatrically complex depression evinced longer standing and more severe mood disturbance, higher likelihood of suicidal ideation, higher unemployment, and higher levels of polypharmacy. Baseline depression complexity predicted worse mental health status and functioning at follow-up. DISCUSSION: A substantial proportion of VA primary care patients with depression presented with high medical multimorbidity and elevated safety concerns. Psychiatrically complex depression predicted lower treatment effectiveness, suggesting that PC-MHI interventions should co-ordinate and individualize care for these patients. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Mental health care integration and primary care patient experience in the Veterans Health Administration.

BACKGROUND: Mental health specialists and care managers facilitate comprehensive care provision within medical homes. Despite implementation challenges, mental health integration is thought to improve patient-centered primary care. OBJECTIVES: To examine the relationship between primary care patient experience and mental health integration. RESEARCH DESIGN: Cross-sectional surveys from 168 primary care clinicians (PCPs) (n = 226) matched with assigned patients' surveys (n = 1734) in one Veterans Health Administration (VA) region, fiscal years 2012-2013. Multilevel regression models examined patient experience and mental health integration, adjusting for patient and PCP characteristics. MEASURES: Patient experience outcomes were (1) experience with PCP and (2) receipt of comprehensive care, such as talked about "stress". Independent variables represented mental health integration- (1) PCP-rated communication with mental health and (2) proportion of clinic patients who saw integrated specialists. RESULTS: 50% and 43% of patients rated their PCPs 10/10 and reported receiving comprehensive care, respectively. Neither patient experience or receipt of comprehensive care was significantly associated with PCP's ratings of communication with mental health, nor with proportion of clinic patients who saw integrated specialists. Among a subsample of patients who rated their mental health as poor/fair, however, we detected an association between proportion of clinic patients who saw integrated specialists and patient experience (odds ratio = 1.05, 95% confidence interval = 1.01-1.09, p = .01). CONCLUSIONS: No association was observed between mental health integration and primary care patients' reported care experiences, but a significant association existed among patients who reported poor/fair mental health. More research is needed to understand patient experiences with regard to care model implementation.

Combining Improvement and Implementation Sciences and Practices for the Post COVID-19 Era.

Health services made many changes quickly in response to the SARS-CoV-2 pandemic. Many more are being made. Some changes were already evaluated, and there are rigorous research methods and frameworks for evaluating their local implementation and effectiveness. But how useful are these methods for evaluating changes where evidence of effectiveness is uncertain, or which need adaptation in a rapidly changing situation? Has implementation science provided implementers with tools for effective implementation of changes that need to be made quickly in response to the demands of the pandemic? This perspectives article describes how parts of the research and practitioner communities can use and develop a combination of implementation and improvement to enable faster and more effective change in the future, especially where evidence of local effectiveness is limited. We draw on previous reviews about the advantages and disadvantages of combining these two domains of knowledge and practice. We describe a generic digitally assisted rapid cycle testing (DA-RCT) approach that combines elements of each in order to better describe a change, monitor outcomes, and make adjustments to the change when implemented in a dynamic environment.

Defining Access Management in Health Care Delivery Organizations.

Managing patient access to care in health care delivery organizations is instrumental in shaping patient experiences. We convened an inclusive stakeholder panel, informed by evidence, to understand the dimensions and establish definitions of access and access management. The literature varies in access definitions, but the temporal measure "time to third next available appointment" was consistently used as an indicator of access. Panel deliberations highlighted the importance of patient-centeredness and resulted in comprehensive definitions for access management, optimal access management, and optimal access. Health care organizations and researchers can use the developed definitions and concepts as starting points for initiatives to improve access management.

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.