High-need, High-cost Research Articles

Home Heart Hospital Associated With Reduced Hospitalizations and Costs Among High-Cost Patients With Cardiovascular Disease.

There is no widely accepted care model for managing high-need, high-cost (HNHC) patients. We hypothesized that a Home Heart Hospital (H3), which provides longitudinal, hospital-level at-home care, would improve care quality and reduce costs for HNHC patients with cardiovascular disease (CVD). To evaluate associations between enrollment in H3, which provides longitudinal, hospital-level at-home care, care quality, and costs for HNHC patients with CVD. This retrospective within-subject cohort study used insurance claims and electronic health records data to evaluate unadjusted and adjusted annualized hospitalization rates, total costs of care, part A costs, and mortality rates before, during, and following H3. Ninety-four patients were enrolled in H3 between February 2019 and October 2021. Patients' mean age was 75 years and 50% were female. Common comorbidities included congestive heart failure (50%), atrial fibrillation (37%), coronary artery disease (44%). Relative to pre-enrollment, enrollment in H3 was associated with significant reductions in annualized hospitalization rates (absolute reduction (AR): 2.4 hospitalizations/year, 95% confidence interval [95% CI]: -0.8, -4.0; p < 0.001; total costs of care (AR: -$56 990, 95% CI: -$105 170, -$8810; p < 0.05; and part A costs (AR: -$78 210, 95% CI: -$114 770, -$41 640; p < 0.001). Annualized post-H3 total costs and part A costs were significantly lower than pre-enrollment costs (total costs of care: -$113 510, 95% CI: -$151 340, -$65 320; p < 0.001; part A costs: -$84 480, 95% CI: -$121 040, -$47 920; p < 0.001). Longitudinal home-based care models hold promise for improving quality and reducing healthcare spending for HNHC patients with CVD.

A Novel Curriculum for Internal Medicine Residents to Care for High-Need, High-Cost Patients.

High-need, high-cost (HNHC) patients represent a small proportion of patients in the US, but result in disproportionately higher healthcare utilization. Teaching Internal Medicine (IM) resident trainees to provide high value care for HNHC patients is critical. We sought to improve resident attitudes and increase clinical skills associated with treating HNHC patients by creating a curriculum that leveraged the UCLA Extensivist Program, a patient-centered medical home for HNHC patients. We developed a curriculum for PGY-2 and PGY-3 IM residents centered on caring for HNHC patients over the course of 6, 4h sessions during 1 academic year. Participants completed pre- and post-intervention surveys assessing self-rated attitudes and skills associated with caring for an HNHC patient population. Twenty-one IM residents completed the curriculum and 41 were in the control group. There were no statistically significant differences in assessed attitudes and skills, but there were trends of improvement, including a decrease in participants who agreed or strongly agreed they felt overwhelmed when seeing patients for posthospital discharge follow up (45.0% pre- to 41.7% post-intervention) and an increase in participants who agreed or strongly agreed they have the skills to successfully transition HNHC patients between inpatient and ambulatory settings (20.0% pre- to 33.3% post-intervention). Participants reported better understanding of resources available to HNHC patients, effective coordination of transitions of care, and comprehensive assessment of social determinants of health. A curriculum to improve resident attitudes and skills associated with caring for HNHC patients was successfully implemented in an IM program at a large academic medical center. The curriculum may be adapted for other training programs; long-term training woven throughout training may be important to significantly improve resident education on how to care for HNHC patients.

Abstract 14711: Prediction of Persistent High-Need High-Cost Cardiology Patients With and Without Renal Failure

Introduction: Heart failure (HF) and coronary artery disease (CAD) are increasingly complex disease entities, in particular in older patients with multiple long-term conditions. High-Need High-Cost (HNHC) patients are at risk of receiving inefficient care that does not contribute to better outcomes. Prediction models may help to identify patients at risk of becoming HNHC with potential benefit for care coordination interventions. Aim: To predict persistent HNHC status at outpatient presentation for cardiovascular populations with HF, CAD, with and without renal failure (HF&amp;RF; CAD&amp;RF). Methods: We performed a retrospective cohort study in the claims database of a large healthcare insurer in the Netherlands. We included patients with consecutive data between 2015 - 2019, at their first outpatient appointment in 2016. Potential predictors were based on the previously published Persistent High Utilizer (PHU) model and collected in the year prior to presentation. HF, CAD and RF were defined by Diagnosis Treatment Combination insurance codes. The outcome of interest was PHU status, defined as belonging to the top 10% of total annualized healthcare expenditures for three consecutive years. To account for inflation, all costs were scaled towards 2015. Predictor effects were quantified through logistic multivariable regression analysis as odds ratios. Models were validated internally by bootstrapping procedure. Model performance was assessed as discrimination, quantified by the C-statistic. Results: 219.567 patients were included, of whom 2.0% ( n =4286) became PHU. The most important predictors were chronic kidney disease diagnosis (OR 3.1 95%CI 2.4-4.1), gastroenterology involvement (OR 3.0 95%CI 2.7-3.3) and COPD diagnosis (OR 2.1 95%CI 1.8-2.5). Model performance in the overall population was good (C-statistic 0.77). Model performance varied in the more homogeneous populations with HF ( n =2261; n =157 PHU), CAD ( n =7221; n =292 PHU), HF&amp;RF ( n =163; n =40 PHU) and CAD&amp;RF ( n = 196; n =34 PHU) resulting in C-statistics of 0.74, 0.78, 0.60 and 0.67 respectively. Conclusions: Persistent HNHC status can be predicted in the outpatient setting for patients with HF and CAD. These models can be used to select cardiology patients for HNHC care coordination.

High-performing primary care clinics across high-need, high-cost Medicare populations

BackgroundTo reduce spending and improve quality, some primary care clinics in the USA have focused on high-need, high-cost (HNHC) Medicare beneficiaries, which include clinically distinct subpopulations: older adults with frailty,...

Differential Impact of a Plan-Led Standardized Complex Care Management Intervention on Subgroups of High-Cost High-Need Medicaid Patients.

Interventions to better coordinate care for high-need high-cost (HNHC) Medicaid patients frequently fail to demonstrate changes in hospitalizations or emergency department (ED) use. Many of these interventions are modeled after practice-level complex care management (CCM) programs. The authors hypothesized that a national CCM program may be effective for some subgroups of HNHC patients, and the overall null effect may obfuscate subgroup-level impact. They used a previously published typology defining 6 subgroups of high-cost Medicaid patients and evaluated program impact by subgroup. The analysis used an individual-level interrupted time series with a comparison group. Intervention subjects were high-cost adult Medicaid patients who enrolled in 1 of 2 national CCM programs implemented by UnitedHealthcare (UHC) (n = 39,687). The comparators were patients who met CCM program criteria but were ineligible due to current enrollment in another UHC/Optum led program (N = 26,359). The intervention was a CCM program developed by UHC/Optum to provide "whole person care" delivering standardized interventions to address medical, behavioral, and social needs for HNHC Medicaid patients, and the outcome was probability of hospitalization or ED use in a given month, estimated at 12 months postenrollment. A reduction in risk of ED utilization for 4 of 6 subgroups was found. A reduction in risk of hospitalization for 1 of 6 subgroups was also found. The authors conclude that standardized health plan led CCM programs demonstrate effectiveness for certain subgroups of HNHC patients in Medicaid. This effectiveness is principally in reducing ED risk and may extend to the risk of hospitalization for a small number of patients.

Health care utilization and potentially preventable adverse outcomes of high-need, high-cost middle-aged and older adults: Needs for integrated care models with life-course approach

Purpose of the researchThe success of modern health care increases life expectancy and prolongs the days of having multimorbidity and functional limitations; the so-defined “high need, high cost (HNHC)” state represents the extreme scenarios of care burden and complexity. This study aims to explore health care utilization and the risk of preventable adverse outcomes stratified by age and HNHC state. Materials and methodsWe conducted a retrospective cohort study using the National Health Insurance (NHI) database. People aged ≥40 years were included and further stratified by age (middle-aged: 40–64 and older adults: 65) and HNHC state (top 10% of spending). Health care utilization and drug consumption across different groups were obtained. The multimorbidity frailty index (mFI) was developed for further analysis. Cox regression models were used to examine the associations between HNHC and adverse clinical outcomes (preventable hospitalizations, preventable emergency department visits, and mortality). ResultsHNHC participants were older, had a higher mFI and drug consumption, and had higher health care utilization. Compared with non-HNHC participants, HNHC participants exhibited a 4.4-fold and 2.4-fold higher risk of preventable hospitalizations in middle-aged (HR=4.41; 95% CI, 4.17–4.65, p<0.01) and older adults (HR=2.44; 95% CI, 2.34–2.55, p<0.01). Similar risks were observed for preventable emergency department visits and mortality (all p<0.01). ConclusionsThe HNHC state substantially increased health care utilization, polypharmacy, and potentially preventable adverse outcomes after adjustment for frailty. Intervention studies developing integrated care models using the life-course approach are needed to improve the quality of health care systems in super-aged societies.

Understanding the effects of comorbidity severity among high-need, high-cost alcohol-related frequent attenders: A cross-sectional study

Objectives: Alcohol dependence (AD) imposes a significant economic burden and frequently cooccurs with other mental disorders. This study aimed to determine the impact of comorbidity severity among high-need, high-cost (HNHC) alcohol-related frequent attendees. (ARFAs). Methods: In a cross-sectional study, 128 participants filled out questionnaires. Assessing patients with the TLFB, APQ, SF-12, and Adult Service Use Schedule. Results: a) Psychiatric comorbidities are common in patients with AD. b) Comorbidity severity significantly predicts alcohol-related problems (APQ), quality of life (QoL), and emergency department (ED) attendance and admission after controlling for the influence of age and gender. c) Daily alcohol intake significantly modifies the relationship between comorbidity severity and emergency department attendance. Conclusions: When treating patients with AD, evaluating and considering the severity of comorbidity is essential.

Characteristics of High-Need, High-Cost Patients : A "Best-Fit" Framework Synthesis.

Accurately identifying high-need, high-cost (HNHC) patients to reduce their preventable or modifiable health care use for their chronic conditions is a priority and a challenge for U.S. policymakers, health care delivery systems, and payers. To identify characteristics and criteria to distinguish HNHC patients. Searches of multiple databases and gray literature from 1 January 2000 to 22 January 2022. English-language studies of characteristics and criteria to identify HNHC adult patients, defined as those with high use (emergency department, inpatient, or total services) or high cost. Independent, dual-review extraction and quality assessment. The review included 64 studies comprising multivariate exposure studies (n = 47), cluster analyses (n = 11), and qualitative studies (n = 6). A National Academy of Medicine (NAM) taxonomy was an initial "best-fit" framework for organizing the synthesis of the findings. Patient characteristics associated with being HNHC included number and severity of comorbid conditions and having chronic clinical conditions, particularly heart disease, chronic kidney disease, chronic lung disease, diabetes, cancer, and hypertension. Patients' risk for being HNHC was often amplified by behavioral health conditions and social risk factors. The reviewers revised the NAM taxonomy to create a final framework, adding chronic pain and prior patterns of high health care use as characteristics associated with an increased risk for being HNHC. Little evidence distinguished potentially preventable or modifiable health care use from overall use. A combination of characteristics can be useful for identifying HNHC patients. Because of the complexity of their conditions and circumstances, improving their quality of care will likely also require an individualized assessment of care needs and availability of support services. Agency for Healthcare Research and Quality. (PROSPERO: CRD42020161179).

Interventions to Improve Outcomes for High-Need, High-Cost Patients: A Systematic Review and Meta-Analysis.

Chronic disease patients who are the greatest users of healthcare services are often referred to as high-need, high-cost (HNHC). Payers, providers, and policymakers in the United States are interested in identifying interventions that can modify or reduce preventable healthcare use among these patients, without adversely impacting their quality of care and health. We systematically reviewed the evidence on the effectiveness of complex interventions designed to change the healthcare of HNHC patients, modifying cost and utilization, as well as clinical/functional, and social risk factor outcomes. We searched 8 electronic databases (January 2000 to March 2021) and selected non-profit organization and government agency websites for randomized controlled trials and observational studies with comparison groups that targeted HNHC patients. Two investigators independently screened each study and abstracted data into structured forms. Study quality was assessed using standard risk of bias tools. Random-effects meta-analysis was conducted for outcomes reported by at least 3 comparable samples. Forty studies met our inclusion criteria. Interventions were heterogenous and classified into 7 categories, reflecting the predominant service location/modality (home, primary care, ambulatory intensive caring unit [aICU], emergency department [ED], community, telephonic/mail, and system-level). Home-, primary care-, and ED-based interventions resulted in reductions in high-cost healthcare services (ED and hospital use). ED-based interventions also resulted in greater use of primary care. Primary care- and ED-based interventions reduced costs. System-level transformation interventions did not reduce costs. We found limited evidence of intervention effectiveness in relation to cost and use, and additional evidence is needed to strengthen our confidence in the findings. Few studies reported patient clinical/functional or social risk factor outcomes (e.g., homelessness) or sufficient details for determining why individual interventions work, for whom, and when. Future evaluations could provide additional insights, by including intermediate process outcomes and patients' experiences, in assessing the impact of these complex interventions. CRD42020161179.

Primary Care Practice Structural Capabilities and Emergency Department Utilization Among High-Need High-Cost Patients.

US primary care practices are actively identifying strategies to improve outcomes and reduce costs among high-need high-cost (HNHC) patients. HNHC patients are adults with high health care utilization who suffer from multiple chronic medical and behavioral health conditions such as depression or substance abuse. HNHC patients with behavioral health conditions face heightened challenges accessing timely primary care and managing their conditions, which is reflected by their high rates of emergency department (ED) utilization and preventable spending. Structural capabilities (i.e., care coordination, chronic disease registries, shared communication systems, and after-hours care) are key attributes of primary care practices which can enhance access and quality of chronic care delivery. The purpose of this study was to analyze the association between structural capabilities and ED utilization among HNHC patients with behavioral health conditions. We merged cross-sectional survey data on structural capabilities from 240 primary care practices in Arizona and Washington linked with Medicare claims data on 70,182 HNHC patients from 2019. Using multivariable Poisson models, we found shared communication systems were associated with lower rates of all-cause and preventable ED utilization among HNHC patients with alcohol use (all-cause: aRR 0.72, 95% CI: 0.62, 0.84; preventable: aRR 0.5, 95% CI: 0.40, 0.64) and HNHC patients with substance use disorders (all-cause: aRR 0.76, 95% CI: 0.68, 0.85; preventable: aRR 0.61, 95% CI: 0.52, 0.71). Care coordination was also associated with decreased rates of ED utilization among the overall HNHC population and those with alcohol use, but not among HNHC patients with depression or substance use disorders. Shared communication systems and care coordination have the potential to increase the effectiveness of primary care delivery for specific HNHC patients.

Unpacking complex interventions that manage care for high-need, high-cost patients: a realist review

ObjectivePayers, providers and policymakers in the USA are interested in developing interventions that reduce preventable or modifiable healthcare use among high-need, high-cost (HNHC) patients. This study seeks to describe how...

Identification and Characterization of a High‐Need, High‐Cost Group Among Hospitalized Patients With Systemic Lupus Erythematosus

To identify a high-need, high-cost (HNHC) group among hospitalized lupus patients and to compare clinical and social factors of the HNHC group with those of other patients with lupus. All hospitalizations for lupus in a tertiary care center over a 3-year period were recorded. The number of admissions, 30-day readmissions, length of stay (LOS), and cost of admissions were compared for high-risk patients with those of all other hospitalized lupus patients (OHLP) during this period. We then compared clinical measures (double-stranded DNA [dsDNA] levels, complement proteins, body mass index, Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index [SDI] scores, and Case Mix Index [CMI] scores) for the HNHC cohort with those of the OHLP group. We additionally differentiated social factors (age, race and ethnicity, poverty, and medication adherence) between the 2 groups. A total of 202 patients with lupus accounted for 467 hospitalizations over the study period. The total cost of admissions was $13,192,346. Forty-four patients had significantly higher admissions, 30-day readmissions, and LOS. Furthermore, the cost for this group was 6-fold that for the OHLP group, confirming the presence of an HNHC cohort. The HNHC group had significantly higher dsDNA levels, SDI scores, and CMI scores compared with the OHLP group. Infections were the most common cause of admission for both groups. Patients in the HNHC group were more likely to be African American, younger, diagnosed with lupus at an earlier age, to have lower medication adherence, and to be significantly more likely to live in areas of poverty. A small group of patients with lupus (the HNHC group) accounts for most of the hospitalizations and cost. The HNHC group has both social and clinical factors significantly different from other patients with lupus.

A methodology for identifying high-need, high-cost patient personas for international comparisons.

ObjectiveTo establish a methodological approach to compare two high‐need, high‐cost (HNHC) patient personas internationally.Data sourcesLinked individual‐level administrative data from the inpatient and outpatient sectors compiled by the International Collaborative on Costs, Outcomes, and Needs in Care (ICCONIC) across 11 countries: Australia, Canada, England, France, Germany, the Netherlands, New Zealand, Spain, Sweden, Switzerland, and the United States.Study designWe outline a methodological approach to identify HNHC patient types for international comparisons that reflect complex, priority populations defined by the National Academy of Medicine. We define two patient profiles using accessible patient‐level datasets linked across different domains of care—hospital care, primary care, outpatient specialty care, post‐acute rehabilitative care, long‐term care, home‐health care, and outpatient drugs. The personas include a frail older adult with a hip fracture with subsequent hip replacement and an older person with complex multimorbidity, including heart failure and diabetes. We demonstrate their comparability by examining the characteristics and clinical diagnoses captured across countries.Data collection/extraction methodsData collected by ICCONIC partners.Principal findingsAcross 11 countries, the identification of HNHC patient personas was feasible to examine variations in healthcare utilization, spending, and patient outcomes. The ability of countries to examine linked, individual‐level data varied, with the Netherlands, Canada, and Germany able to comprehensively examine care across all seven domains, whereas other countries such as England, Switzerland, and New Zealand were more limited. All countries were able to identify a hip fracture persona and a heart failure persona. Patient characteristics were reassuringly similar across countries.ConclusionAlthough there are cross‐country differences in the availability and structure of data sources, countries had the ability to effectively identify comparable HNHC personas for international study. This work serves as the methodological paper for six accompanying papers examining differences in spending, utilization, and outcomes for these personas across countries.

Machine-learning-based prediction models for high-need high-cost patients using nationwide clinical and claims data

High-need, high-cost (HNHC) patients—usually defined as those who account for the top 5% of annual healthcare costs—use as much as half of the total healthcare costs. Accurately predicting future HNHC patients and designing targeted interventions for them has the potential to effectively control rapidly growing healthcare expenditures. To achieve this goal, we used a nationally representative random sample of the working-age population who underwent a screening program in Japan in 2013–2016, and developed five machine-learning-based prediction models for HNHC patients in the subsequent year. Predictors include demographics, blood pressure, laboratory tests (e.g., HbA1c, LDL-C, and AST), survey responses (e.g., smoking status, medications, and past medical history), and annual healthcare cost in the prior year. Our prediction models for HNHC patients combining clinical data from the national screening program with claims data showed a c-statistics of 0.84 (95%CI, 0.83–0.86), and overperformed traditional prediction models relying only on claims data.

High-need high-cost patients: A Concept Analysis.

High-need high-cost (HNHC) patients are variously defined in the literature as the small subset of the population who account for the majority of US health care costs. Lack of consensus on the defining attributes of HNHC patients has challenged the effectiveness of interventions aimed to improve disease management and reduce costs. Guided by the Walker and Avant method of concept analysis, a literature review of 2 databases (PubMed and CINAHL) was conducted. Three main subgroups of HNHC patients were identified: adults with multiple chronic conditions and functional disability, the frail elderly, and patients under 65 years old with a disability or behavioral health condition. HNHC patients are categorized by a feedback loop of acute-on-chronic health conditions, preventable health service utilization, and fragmented care. Antecedents that predispose becoming a HNHC patient include challenges accessing timely care, low socioeconomic status, unmet support, and social factors such as isolation and inadequate.

Transitional Care Models for High-Need, High-Cost Adults in the United States: A Scoping Review and Gap Analysis.

This scoping review explored research literature on the integration and coordination of services for high-need, high-cost (HNHC) patients in an attempt to answer the following questions: What models of transitional care are utilized to manage HNHC patients in the United States? and How effective are they in reducing low-value utilization and in improving continuity? U.S. urban, suburban, and rural health care sites within primary care, veterans' services, behavioral health, and palliative care. Utilizing the Joanna Briggs Institute and PRISMA guidelines for scoping reviews, a stepwise method was applied to search multiple databases for peer-reviewed published research on transitional care models serving HNHC adult patients in the United States from 2008 to 2018. All eligible studies were included regardless of quality rating. Exclusions were foreign models, studies published prior to 2008, review articles, care reports, and studies with participants younger than 18 years. The search returned 1,088 studies, of which 19 were included. Four studies were randomized controlled trials and other designs included case reports and observational, quasi-experimental, cohort, and descriptive studies. Studies focused on Medicaid, Medicare, dual-eligible patients, veterans, and the uninsured or underinsured. High-need, high-cost patients were identified on the basis of prior utilization patterns of inpatient and emergency department visits, high cost, multiple chronic medical diagnoses, or a combination of these factors. Tools used to identify these patients included the hierarchical condition category predictive model, the Elder Risk Assessment, and the 4-year prognostic index score. The majority of studies combined characteristics of multiple case management models with varying levels of impact. .

Assertive outreach treatment versus care as usual for the treatment of high-need, high-cost alcohol related frequent attenders: study protocol for a randomised controlled trial

BackgroundAlcohol-related hospital admissions have doubled in the last ten years to > 1.2 m per year in England. High-need, high-cost (HNHC) alcohol-related frequent attenders (ARFA) are a relatively small subgroup of patients, having multiple admissions or attendances from alcohol during a short time period. This trial aims to test the effectiveness of an assertive outreach treatment (AOT) approach in improving clinical outcomes for ARFA, and reducing resource use in the acute setting.MethodsOne hundred and sixty ARFA patients will be recruited and following baseline assessment, randomly assigned to AOT plus care as usual (CAU) or CAU alone in equal numbers. Baseline assessment includes alcohol consumption and related problems, physical and mental health comorbidity and health and social care service use in the previous 6 months using standard validated tools, plus a measure of resource use. Follow-up assessments at 6 and 12 months after randomization includes the same tools as baseline plus standard measure of patient satisfaction. Outcomes for CAU + AOT and CAU at 6 and 12 months will be compared, controlling for pre-specified baseline measures. Primary outcome will be percentage of days abstinent at 12 months. Secondary outcomes include emergency department (ED) attendance, number and length of hospital admissions, alcohol consumption, alcohol-related problems, other health service use, mental and physical comorbidity 6 and 12 months post intervention. Health economic analysis will estimate the economic impact of AOT from health, social care and societal perspectives and explore cost-effectiveness in terms of quality adjusted life years and alcohol consumption at 12-month follow-up.DiscussionAOT models piloted with alcohol dependent patients have demonstrated significant reductions in alcohol consumption and use of unplanned National Health Service (NHS) care, with increased engagement with alcohol treatment services, compared with patients receiving CAU. While AOT interventions are costlier per case than current standard care in the UK, the rationale for targeting HNHC ARFAs is because of their disproportionate contribution to overall alcohol burden on the NHS. No previous studies have evaluated the clinical and cost-effectiveness of AOT for HNHC ARFAs: this randomized controlled trial (RCT) targeting ARFAs across five South London NHS Trusts is the first.Trial registrationInternational standard randomized controlled trial number (ISRCTN) registry: ISRCTN67000214, retrospectively registered 26/11/2016.

Identifying subgroups of high-need, high-cost, chronically ill patients in primary care: A latent class analysis.

Segmentation of the high-need, high-cost (HNHC) population is required for reorganizing care to accommodate person-centered, integrated care delivery. Therefore, we aimed to identify and characterize relevant subgroups of the HNHC population in primary care by using demographic, biomedical, and socioeconomic patient characteristics. This was a retrospective cohort study within a Dutch primary care group, with a follow-up period from September 1, 2014 to August 31, 2017. Chronically ill patients were included in the HNHC population if they belonged to the top 10% of care utilizers and/or suffered from multimorbidity and had an above-average care utilization. In a latent class analysis, forty-one patient characteristics were initially used as potential indicators of heterogeneity in HNHC patients' needs. Patient data from 12 602 HNHC patients was used. A 4-class model was considered statistically and clinically superior. The classes were named according to the characteristics that were most dominantly present and distinctive between the classes (i.e. mainly age, household position, and source of income). Class 1 ('older adults living with partner') included 39.3% of patients, class 2 ('older adults living alone') included 25.5% of patients, class 3 ('middle-aged, employed adults with family') included 23.3% of patients, and class 4 ('middle-aged adults with social welfare dependency') included 11.9% of patients. Diabetes was the most common condition in all classes; the second most prevalent condition differed between osteoarthritis in class 1 (21.7%) and 2 (23.8%), asthma in class 3 (25.3%), and mood disorders in class 4 (23.1%). Furthermore, while general practitioner (GP) care utilization increased during the follow-up period in the classes of older adults, it remained relatively stable in the middle-aged classes. Although the HNHC population is heterogeneous, distinct subgroups with relatively homogeneous patterns of mainly demographic and socioeconomic characteristics can be identified. This calls for tailoring care and increased attention for social determinants of health.

“It’s Like Riding Out the Chaos”: Caring for Socially Complex Patients in an Ambulatory Intensive Care Unit (A-ICU)

High-need high-cost (HNHC) patients consume a large proportion of health resources but often receive suboptimal care in traditional primary care. Intensive ambulatory care interventions attempt to better meet these patients' needs, but we know little about how teams delivering these interventions in clinics serving socially complex patient populations perceive their work. We performed a qualitative study of multidisciplinary staff experiences at a Federally Qualified Health Center (FQHC) caring for predominantly homeless HNHC patients in the context of an ongoing implementation of an ambulatory intensive care unit (A-ICU) intervention. We conducted semistructured interviews with 9 ambulatory intensive care team members and 6 "usual care" members. We conducted a thematic analysis, using an inductive approach, at a semantic level. Staff viewed complexity as a combination of social, behavioral, and medical challenges that lead to patient-health care system mismatch. Staff perceive the following as key ingredients in caring for HNHC patients: addressing both psychosocial and clinical needs together; persistence in staying connected to patients through chaotic periods; shared commitment and cohesion among interdisciplinary team members; and flexibility to tailor care to patients' individual situations. Participants' definitions of success focused more on improving patient engagement than reducing utilization or cost. FQHC staff working with HNHC patients perceive mismatch between the health care system and patients' clinical and social needs as the key driver of poor outcomes for these patients. Intensive ambulatory care teams may bridge mismatch through provision of psychosocial supports, flexible care delivery, and fostering team cohesion to support patient engagement.

A Novel Intervention for High-Need, High-Cost Medicaid Patients: a Study of ECHO Care.

A small number of high-need patients account for a disproportionate amount of Medicaid spending, yet typically engage little in outpatient care and have poor outcomes. To address this issue, we developed ECHO (Extension for Community Health Outcomes) Care™, a complex care intervention in which outpatient intensivist teams (OITs) provided care to high-need high-cost (HNHC) Medicaid patients. Teams were supported using the ECHO model™, a continuing medical education approach that connects specialists with primary care providers for case-based mentoring to treat complex diseases. Using an interrupted time series analysis of Medicaid claims data, we measured healthcare utilization and expenditures before and after ECHO Care. ECHO Care served 770 patients in New Mexico between September 2013 and June 2016. Nearly all had a chronic mental illness, and over three-quarters had a chronic substance use disorder. ECHO Care patients received care from an OIT, which typically included a nurse practitioner or physician assistant, a registered nurse, a licensed mental health provider, and at least one community health worker. Teams focused on addressing patients' physical, behavioral, and social issues. We assessed the effect of ECHO Care on Medicaid costs and utilization (inpatient admissions, emergency department (ED) visits, other outpatient visits, and dispensed prescriptions. ECHO Care was associated with significant changes in patients' use of the healthcare system. At 12months post-enrollment, the odds of a patient having an inpatient admission and an ED visit were each reduced by approximately 50%, while outpatient visits and prescriptions increased by 23% and 8%, respectively. We found no significant change in overall Medicaid costs associated with ECHO Care. ECHO Care shifts healthcare utilization from inpatient to outpatient settings, which suggests decreased patient suffering and greater access to care, including more effective prevention and early intervention for chronic conditions.