Health Care Hotspotting - A Randomized, Controlled Trial

Community Mental Health Services for Frequent Emergency Department Users: A Qualitative Study of Outcomes Perceived by Program Clients and Case Managers

PURPOSE OF STUDY

This study aimed to investigate the perceived outcomes and mechanisms of change of a community mental health service combining system navigation and intensive case management supports for frequent emergency department users presenting with mental illness or addiction.

PRIMARY PRACTICE SETTING

The study setting was a community mental health agency receiving automated referrals directly from hospitals in a midsize Canadian city for all individuals attending an emergency department two or more times within 30 days for mental illness or addiction.

METHODOLOGY AND SAMPLE

Qualitative interviews with 15 program clients. Focus groups with six program case managers. Data were analyzed using pragmatic qualitative thematic analysis.

RESULTS

Participants generally reported perceiving that the program contributed to reduced emergency department use, reduced mental illness symptom severity, and improved quality of life. Perceived outcomes were more mixed for outcomes related to addiction. Reported mechanisms of change emphasized the importance of positive working relationships between program clients and case managers, as well as focused efforts to develop practical skills.

IMPLICATIONS FOR CASE MANAGEMENT PRACTICE

Community mental health services including intensive case management for frequent emergency department users presenting with mental illness or addiction were perceived to effectively address client needs while reducing emergency department resource burden. Similar programs should emphasize the development of consistent and warm working relationships between program clients and case managers, as well as practical skills development to support client health and well-being.

Evaluating Intensity, Complexity, and Potential for Causal Inference in Social Needs Interventions: A Review of a Scoping Review

Importance

Interventions that address needs such as low income, housing instability, and safety are increasingly appearing in the health care sector as part of multifaceted efforts to improve health and health equity, but evidence relevant to scaling these social needs interventions is limited.

Objective

To summarize the intensity and complexity of social needs interventions included in randomized clinical trials (RCTs) and assess whether these RCTs were designed to measure the causal effects of intervention components on behavioral, health, or health care utilization outcomes.

Evidence Review

This review of a scoping review was based on a Patient-Centered Outcomes Research Institute-funded evidence map of English-language US-based RCTs of social needs interventions published between January 1, 1995, and April 6, 2023. Studies were assessed for features related to intensity (defined using modal values as providing as-needed interaction, 8 participant contacts or more, contacts occurring every 2 weeks or more often, encounters of 30 minutes or longer, contacts over 6 months or longer, or home visits), complexity (defined as addressing multiple social needs, having dedicated staff, involving multiple intervention components or practitioners, aiming to change multiple participant behaviors [knowledge, action, or practice], requiring or providing resources or active assistance with resources, and permitting tailoring), and the ability to assess causal inferences of components (assessing interventions, comparators, and context).

Findings

This review of a scoping review of social needs interventions identified 77 RCTs in 93 publications with a total of 135 690 participants. Most articles (68 RCTs [88%]) reported 1 or more features of high intensity. All studies reported 1 or more features indicative of high complexity. Because most studies compared usual care with multicomponent interventions that were moderately or highly dependent on context and individual factors, their designs permitted causal inferences about overall effectiveness but not about individual components.

Conclusions and Relevance

Social needs interventions are complex, intense, and include multiple components. Our findings suggest that RCTs of these interventions address overall intervention effectiveness but are rarely designed to distinguish the causal effects of specific components despite being resource intensive. Future studies with hybrid effectiveness-implementation and sequential designs, and more standardized reporting of intervention intensity and complexity could help stakeholders assess the return on investment of these interventions.

The Dynamic Nature of the Socioeconomic Determinants of Cardiovascular Health: A Narrative Review

Despite decades of social epidemiologic research, health inequities remain pervasive and ubiquitous in Canada and elsewhere. One reason may be our use of socioeconomic measurement, which has often relied on single point-in-time exposures. To explore the extent to which researchers have incorporated dynamic socioeconomic measurement into cardiovascular health outcome evaluations, we performed a narrative review. We estimated the prevalence of socioeconomic longitudinal cardiovascular research studies that identified socioeconomic exposures at 2 or more points in time between the years of 2019 and 2023. We defined cardiovascular outcome studies as those that examined coronary artery disease, myocardial infarction, acute coronary syndrome, stroke, heart failure, cardiac arrhythmias, cardiac death, cardiometabolic factors, transient ischemic attacks, peripheral artery disease, or hypertension. Socioeconomic exposures included individual income, neighbourhood income, intergenerational social mobility, education, occupation, insurance status, and economic security. Seven percent of socioeconomic cardiovascular outcome studies have measured socioeconomic status at 2 or more points in time throughout the follow-up period, hypothesized mechanisms by which dynamic socioeconomic measures affected outcome focused on social mobility, accumulation, and critical period theories. Insights, implications, and future directions are discussed, in which we highlight ways in which postal code data can be better used methodologically as a dynamic socioeconomic measure. Future research must incorporate dynamic socioeconomic measurement to better inform root causes, interventions, and health-system designs if health equity is to be improved.

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

BACKGROUND

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).

OBJECTIVE

To evaluate associations between enrollment in H3, which provides longitudinal, hospital-level at-home care, care quality, and costs for HNHC patients with CVD.

METHODS

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.

RESULTS

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).

CONCLUSIONS

Longitudinal home-based care models hold promise for improving quality and reducing healthcare spending for HNHC patients with CVD.

Revising the Logic Model Behind Health Care's Social Care Investments

Policy Points This article summarizes recent evidence on how increased awareness of patients' social conditions in the health care sector may influence health and health care utilization outcomes. Using this evidence, we propose a more expansive logic model to explain the impacts of social care programs and inform future social care program investments and evaluations.

A randomized controlled trial evaluating the effects of nurse-led triage of 911 calls

To better connect non-emergent 911 callers to appropriate care, Washington, DC, routed low-acuity callers to nurses. Nurses could provide non-emergent transportation to a health centre, recommend self-care or return callers to the traditional 911 system. Over about one year, 6,053 callers were randomized (1:1) to receive a business-as-usual response (ncontrol = 3,023) or further triage (ntreatment = 3,030). We report on seven of nine outcomes, which were pre-registered ( https://osf.io/xderw ). The proportion of calls resulting in an ambulance dispatch dropped from 97% to 56% (β = -1.216 (-1.324, -1.108), P < 0.001), and those resulting in an ambulance transport dropped from 73% to 45% (β = -3.376 (-3.615, -3.137), P < 0.001). Among those callers who were Medicaid beneficiaries, within 24 hours, the proportion of calls resulting in an emergency department visit for issues classified as non-emergent or primary care physician (PCP) treatable dropped from 29.5% to 25.1% (β = -0.230 (-0.391, -0.069), P < 0.001), and the proportion resulting in the caller visiting a PCP rose from 2.5% to 8.2% (β = 1.252 (0.889, 1.615), P < 0.001). Over the longer time span of six months, we failed to detect evidence of impacts on emergency department visits, PCP visits or Medicaid expenditures. From a safety perspective, 13 callers randomized to treatment were eventually diagnosed with a time-sensitive illness, all of whom were quickly triaged to an ambulance response. These short-term effects suggest that nurse-led triage of non-emergent calls can safely connect callers to more appropriate, timely care.

Addressing Social Needs in Clinical Settings: Implementation and Impact on Health Care Utilization, Costs, and Integration of Care

In recent years, health care policy makers have focused increasingly on addressing social drivers of health as a strategy for improving health and health equity. Impacts of social, economic, and environmental conditions on health are well established. However, less is known about the implementation and impact of approaches used by health care providers and payers to address social drivers of health in clinical settings. This article reviews current efforts by US health care organizations and public payers such as Medicaid and Medicare to address social drivers of health at the individual and community levels. We summarize the limited available evidence regarding intervention impacts on health care utilization, costs, and integration of care and identify key lessons learned from current implementation efforts.

Improving Appropriate Use of Peripherally Inserted Central Catheters Through a Statewide Collaborative Hospital Initiative: A Cost-Effectiveness Analysis

BACKGROUND

Quality improvement (QI) programs require significant financial investment. The authors evaluated the cost-effectiveness of a physician-led, performance-incentivized, QI intervention that increased appropriate peripherally inserted central catheter (PICC) use.

METHODS

The authors used an economic evaluation from a health care sector perspective. Implementation costs included incentive payments to hospitals and costs for data abstractors and the coordinating center. Effectiveness was calculated from propensity score-matched observations across two time periods for complications (venous thromboembolism [VTE], central line-associated bloodstream infection [CLABSI], and catheter occlusion): preintervention period (January 2015 through December 2016) and intervention period (January 2017 through December 2021). Cost-effectiveness was presented as the cost-offset per averted complication, reflecting the health care costs avoided due to having lower complication rates.

RESULTS

Across 35 hospitals, this study sampled 17,418 PICCs placed preintervention and 26,004 placed during the intervention period. PICC complications decreased significantly following the intervention. CLABSIs decreased from 2.1% to 1.5%, VTEs from 3.2% to 2.3%, and catheter occlusions from 10.8% to 7.0% (all p < 0.01). Estimated number of complications prevented included 871 CLABSIs, 2,535 VTEs, and 8,743 catheter occlusions. Project implementation costs were $31.8 million, and the cost-offset related to avoided complications was $64.4 million. Each participating hospital averaged $932,073 in cost-offset over seven years, and the average cost-offset per complication averted was $2,614 (95% CI [confidence interval] $2,314-$3,003).

CONCLUSION

A large-scale, multihospital QI initiative to improve appropriate PICC use yielded substantial return on investment from cost-offset of prevented complications.

Equity-Centered Postdischarge Support for Medicaid-Insured People: Protocol for a Type 1 Hybrid Effectiveness-Implementation Stepped Wedge Cluster Randomized Controlled Trial

BACKGROUND

Disparities in posthospitalization outcomes for people with chronic medical conditions and insured by Medicaid are well documented, yet interventions that mitigate them are lacking. Prevailing transitional care interventions narrowly target people aged 65 years and older, with specific disease processes, or limitedly focus on individual-level behavioral change such as self-care or symptom management, thus failing to adequately provide a holistic approach to ensure an optimal posthospital care continuum. This study evaluates the implementation of THRIVE-an evidence-based, equity-focused clinical pathway that supports Medicaid-insured individuals with multiple chronic conditions transitioning from hospital to home by focusing on the social determinants of health and systemic and structural barriers in health care delivery. THRIVE services include coordinating care, standardizing interdisciplinary communication, and addressing unmet clinical and social needs following hospital discharge.

OBJECTIVE

The study's objectives are to (1) examine referral patterns, 30-day readmission, and emergency department use for participants who receive THRIVE support services compared to those receiving usual care and (2) evaluate the implementation of the THRIVE clinical pathway, including fidelity, feasibility, appropriateness, and acceptability.

METHODS

We will perform a sequential randomized rollout of THRIVE to case managers at the study hospital in 3 steps (4 in the first group, 4 in the second, and 5 in the third), and data collection will occur over 18 months. Inclusion criteria for THRIVE participation include (1) being Medicaid insured, dually enrolled in Medicaid and Medicare, or Medicaid eligible; (2) residing in Philadelphia; (3) having experienced a hospitalization at the study hospital for more than 24 hours with a planned discharge to home; (4) agreeing to home care at partner home care settings; and (5) being aged 18 years or older. Qualitative data will include interviews with clinicians involved in THRIVE, and quantitative data on health service use (ie, 30-day readmission, emergency department use, and primary and specialty care) will be derived from the electronic health record.

RESULTS

This project was funded in January 2023 and approved by the institutional review board on March 10, 2023. Data collection will occur from March 2023 to July 2024. Results are expected to be published in 2025.

CONCLUSIONS

The THRIVE clinical pathway aims to reduce disparities and improve postdischarge care transitions for Medicaid-insured patients through a system-level intervention that is acceptable for THRIVE participants, clinicians, and their teams in hospitals and home care settings. By using our equity-focused case management services and leveraging the power of the electronic medical record, THRIVE creates efficiencies by identifying high-need patients, improving communication across acute and community-based sectors, and driving evidence-based care coordination. This study will add important findings about how the infusion of equity-focused principles in the design and evaluation of evidence-based interventions contributes to both implementation and effectiveness outcomes.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/54211.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05714605; https://clinicaltrials.gov/ct2/show/NCT05714605.

Swimming Together Upstream: How to Align MLP Services with U.S. Healthcare Delivery

Medical-legal partnership (MLP) embeds attorneys and paralegals into care delivery to help clinicians address root causes of health inequities. Notwithstanding decades of favorable outcomes, MLP is not as well-known as might be expected. In this essay, the authors explore ways in which strategic alignment of legal services with healthcare services in terms of professionalism, information collection and sharing, and financing might help the MLP movement become a more widespread, sustainable model for holistic care delivery.

Effect of an Intensive Food-as-Medicine Program on Health and Health Care Use: A Randomized Clinical Trial

Importance

Food-as-medicine programs are becoming increasingly common, and rigorous evidence is needed regarding their effects on health.

Objective

To test whether an intensive food-as-medicine program for patients with diabetes and food insecurity improves glycemic control and affects health care use.

Design, Setting, and Participants

This stratified randomized clinical trial using a wait list design was conducted from April 19, 2019, to September 16, 2022, with patients followed up for 1 year. Patients were randomly assigned to either participate in the program immediately (treatment group) or 6 months later (control group). The trial took place at 2 sites, 1 rural and 1 urban, of a large, integrated health system in the mid-Atlantic region of the US. Eligibility required a diagnosis of type 2 diabetes, a hemoglobin A1c (HbA1c) level of 8% or higher, food insecurity, and residence within the service area of the participating clinics.

Intervention

The comprehensive program provided healthy groceries for 10 meals per week for an entire household, plus dietitian consultations, nurse evaluations, health coaching, and diabetes education. The program duration was typically 1 year.

Main Outcomes and Measures

The primary outcome was HbA1c level at 6 months. Secondary outcomes included other biometric measures, health care use, and self-reported diet and healthy behaviors, at both 6 months and 12 months.

Results

Of 3712 patients assessed for eligibility, 3168 were contacted, 1064 were deemed eligible, 500 consented to participate and were randomized, and 465 (mean [SD] age, 54.6 [11.8] years; 255 [54.8%] female) completed the study. Of those patients, 349 (mean [SD] age, 55.4 [11.2] years; 187 [53.6%] female) had laboratory test results at 6 months after enrollment. Both the treatment (n = 170) and control (n = 179) groups experienced a substantial decline in HbA1c levels at 6 months, resulting in a nonsignificant, between-group adjusted mean difference in HbA1c levels of -0.10 (95% CI, -0.46 to 0.25; P = .57). Access to the program increased preventive health care, including more mean (SD) dietitian visits (2.7 [1.8] vs 0.6 [1.3] visits in the treatment and control groups, respectively), patients with active prescription drug orders for metformin (134 [58.26] vs 119 [50.64]) and glucagon-like peptide 1 medications (114 [49.56] vs 83 [35.32]), and participants reporting an improved diet from 1 year earlier (153 of 164 [93.3%] vs 132 of 171 [77.2%]).

Conclusions and Relevance

In this randomized clinical trial, an intensive food-as-medicine program increased engagement with preventive health care but did not improve glycemic control compared with usual care among adult participants. Programs targeted to individuals with elevated biomarkers require a control group to demonstrate effectiveness to account for improvements that occur without the intervention. Additional research is needed to design food-as-medicine programs that improve health.

Trial Registration

ClinicalTrials.gov Identifier: NCT03718832.

Association Between Community Social Vulnerability and Preventable Hospitalizations

Preventable hospitalizations are common and costly events that burden patients and our health care system. While research suggests that these events are strongly linked to ambulatory care access, emerging evidence suggests they may also be sensitive to a patient's social, environmental, and economic conditions. This study examines the association between variations in social vulnerability and preventable hospitalization rates. We conducted a cross-sectional analysis of county-level preventable hospitalization rates for 33 states linked with data from the 2020 Social Vulnerability Index (SVI). Preventable hospitalizations were 40% higher in the most vulnerable counties compared with the least vulnerable. Adjusted regression results confirm the strong relationship between social vulnerability and preventable hospitalizations. Our results suggest wide variation in community-level preventable hospitalization rates, with robust evidence that variation is strongly related to a community's social vulnerability. The human toll, societal cost, and preventability of these hospitalizations make understanding and mitigating these inequities a national priority.

Financing community partnerships for health equity: Findings and insights from cross-sector professionals

OBJECTIVE

To enhance understanding of financial alignment challenges facing cross-sector partnerships (CSPs) pursuing health equity and offer insights to guide research and practice.

DATA SOURCES AND STUDY SETTING

We collected data through surveys and interviews with cross-sector professionals in 16 states, 2020-2021.

STUDY DESIGN

We surveyed 51 CSP leaders and received 26 responses. Following administration of the surveys to CSP leaders, we also conducted interviews with cross-sector professionals. The data are analyzed descriptively, comparatively, and qualitatively using thematic analysis.

DATA COLLECTION/EXTRACTION METHODS

For quantitative survey data, we compare partnership responses, differentiating perceived levels of alignment among partnerships certified by the Pathways Community HUB Institute (PCHI), partnerships interested in certification, and partnerships without connection to the PCHI® Model of care coordination. For interviews, we engaged CSP professionals and those who fund their work. Two research team members took notes for interviews, which were combined and made available for review by those interviewed. Data were analyzed independently by two team members who met to integrate, identify, and finalize thematic findings.

PRINCIPAL FINDINGS

Our work supports previous findings that financing is a challenge for CSPs, while also suggesting that PCHI-certified partnerships may perceive greater progress in financial alignment than others. We identify four major financial barriers: limited and competitive funding; state health service delivery structures; cultural and practice divides across healthcare, social service, and public health sectors; and needs for further evidence of cross-sector service impacts on client health and costs. We also offer a continuum of measures of financial sustainability progress and identify key issues relating to financial incentivization/accountability.

CONCLUSION

Findings suggest a need for public policy reviews and improvements to aid CSPs in addressing financial alignment challenges. We also offer a measurement framework and ideas to guide research and practice on financial alignment, based on empirical data.

The Camden Coalition Care Management Program Improved Intermediate Care Coordination: A Randomized Controlled Trial

When a randomized evaluation finds null results, it is important to understand why. We investigated two very different explanations for the finding from a randomized evaluation that the Camden Coalition's influential care management program-which targeted high-use, high-need patients in Camden, New Jersey-did not reduce hospital readmissions. One explanation is that the program's underlying theory of change was not right, meaning that intensive care coordination may have been insufficient to change patient outcomes. Another explanation is a failure of implementation, suggesting that the program may have failed to achieve its goals but could have succeeded if it had been implemented with greater fidelity. To test these two explanations, we linked study participants to Medicaid data, which covered 561 (70 percent) of the original 800 participants, to examine the program's impact on facilitating postdischarge ambulatory care-a key element of care coordination. We found that the program increased ambulatory visits by 15 percentage points after fourteen days postdischarge, driven by an increase in primary care; these effects persisted through 365 days. These results suggest that care coordination alone may be insufficient to reduce readmissions for patients with high rates of hospital admissions and medically and socially complex conditions.

Longitudinal Trends in Insurer Participation in Multisector Population Health Activities

Healthcare organizations increasingly engage in activities to identify and address social determinants of health (SDOH) among their patients to improve health outcomes and reduce costs. While several studies to date have focused on the evolving role of hospitals and physicians in these types of population health activities, much less is known about the role health insurers may play. We used data from the National Longitudinal Survey of Public Health Systems for the period 2006 to 2018 to examine trends in health insurer participation in population health activities and in the multi-sector collaborative networks that support these activities. We also used a difference-in-differences approach to examine the impact of Medicaid expansion on insurer participation in population health networks. Insurer participation increased in our study period both in the delivery of population health activities and in the integration into collaborative networks that support these activities. Insurers were most likely to participate in activities focusing on community health assessment and policy development. Results from our adjusted difference-in-differences models showed variation in association between insurer participation in population health networks and Medicaid expansion (Table 2). Population health networks in expansion states experienced significant increases insurer participation in assessment (4.48 percentage points, P < .05) and policy and planning (7.66 percentage points, P < .05) activities. Encouraging insurance coverage gains through policy mechanisms like Medicaid expansion may not only improve access to healthcare services but can also act as a driver of insurer integration into population health networks.

A Conceptual Framework for Building Individual and Team Capabilities to Provide Effective Longitudinal, Relationship-Based Clinical Case Management

Individuals with complex, chronic diseases represent 5% of the population but consume 50% of the costs of care. These patients have complex lives, characterized by multiple chronic physical health conditions paired with a combination of behavioral health issues and/or unmet social needs. Unlike for most health problems, the problems faced by individuals with complex lives cannot be broken down into simpler parts to be solved independent from 1 another. In this article, the authors describe a 2-phase framework for improving outcomes in patients with complex lives, outline how the model works in more detail, and discuss lessons learned in this journey. In phase 1, a case manager carefully and deliberately focuses on building a relationship with the patient to first gain trust, and then identify, in partnership with the patient, how to best approach assisting the patient in improving their health. That pathway is often unknowable without a deep investment of time, a radical acceptance of the patient, faults and all, and an unwavering commitment to stay by their side, even when things are tough. Once the case manager and patient have established a trusting relationship, they enter phase 2-building a path toward wellness, including further emphasis on the relationship, solving prioritized issues, changing the health system approach, and engaging the patient in self-reflection and behavior change activities.

Community health worker navigation to improve allostatic load: The Integrated Population Health (IPOP) study

Background

Social determinants of health (SDOH) and cumulative stress contribute to chronic disease development. The physiological response to repeated stressors typical of lower-income environments can be measured through allostatic load - a composite measure of cardiovascular, metabolic, and immune variables. Healthcare systems have employed patient navigation for social and medical needs to improve SDOH that has demonstrated limited impact on chronic disease outcomes. This study evaluates a novel community health worker navigation intervention developed using behavioral theories to improve access to social and medical services and provide social support for poverty stressed adults.

Methods

The Integrated Population Health Study (IPOP) study is a randomized, parallel two arm study evaluating community health worker navigation in addition to an existing integrated population health program (IPOP CHW) as compared to Usual Care (population health program only, IPOP) on allostatic load and chronic disease risk factors. IPOP CHW participants receive a 10-month navigation intervention.

Results

From 381 screened individuals, a total of 202 participants (age 58.15 ± 12.03 years, 74.75 % female, 79.21 % Black/African American, 17.33 % Hispanic) were enrolled and randomized to IPOP CHW (n = 100) or IPOP Only (n = 102).

Conclusion

This study will evaluate whether CHW navigation, using a structured intervention based on health behavior theories, can effectively guide poverty stressed individuals to address social and medical needs to improve allostatic load-a composite of cumulative stress and physiological responses. Healthcare systems, nonprofit organizations, and governmental entities are interested in addressing SDOH to improve health, thus developing evidence-based interventions could have broad clinical and policy implications.

Margin notes from the COVID-19 pandemic for the future of healthcare innovation

The COVID-19 pandemic has been characterized as a "big-event disruption" that fundamentally challenged the sustainability of existing healthcare business and service models and demanded innovation through "dual transformation" simultaneously to both core operations and the evolution of new strategic directions. The concept of disruptive innovation as applied to healthcare is reviewed and the strategies of distributed healthcare organizations supporting the most medically and socially complex communities during the COVID-19 pandemic are described as demonstrative of the promise of disruptive innovation in healthcare to bring about the necessary shift away from acute and facility-based care to integrated health and social care in the community. The place of new digital health technologies including "big data" analytics, digital platforms, and artificial intelligence/machine learning are identified as being integral to optimizing the scale and scope of impact of distributed community health and social care.

Ambulatory Intensive Care for Medically Complex Patients at a Health Care Clinic for Individuals Experiencing Homelessness: The SUMMIT Randomized Clinical Trial

Importance

Intensive primary care interventions have been promoted to reduce hospitalization rates and improve health outcomes for medically complex patients, but evidence of their efficacy is limited.

Objective

To assess the efficacy of a multidisciplinary ambulatory intensive care unit (A-ICU) intervention on health care utilization and patient-reported outcomes.

Design, Setting, and Participants

The Streamlined Unified Meaningfully Managed Interdisciplinary Team (SUMMIT) randomized clinical trial used a wait-list control design and was conducted at a health care clinic for patients experiencing homelessness in Portland, Oregon. The first patient was enrolled in August 2016, and the last patient was enrolled in November 2019. Included patients had 1 or more hospitalizations in the prior 6 months and 2 or more chronic medical conditions, substance use disorder, or mental illness. Data analysis was performed between March and May 2021.

Intervention

The A-ICU included a team manager, a pharmacist, a nurse, care coordinators, social workers, and physicians. Activities included comprehensive 90-minute intake, transitional care coordination, and flexible appointments, with reduced panel size. Enhanced usual care (EUC), consisting of team-based primary care with access to community health workers and mental health, addiction treatment, and pharmacy services, served as the comparator. Participants who received EUC joined the A-ICU intervention after 6 months.

Main Outcomes and Measures

The main outcome was the difference in rates of hospitalization (primary outcome), emergency department (ED) visits, and primary care physician (PCP) visits per person over 6 months (vs the prior 6 months). Patient-reported outcomes included changes in patient activation, experience, health-related quality of life, and self-rated health at 6 months (vs baseline). We performed an intention-to-treat analysis using a linear mixed-effects model with a random intercept for each patient to examine the association between study group and outcomes.

Results

This study randomized 159 participants (mean [SD] age, 54.9 [9.8] years) to the A-ICU SUMMIT intervention (n = 80) or to EUC (n = 79). The majority of participants were men (102 [65.8%]) and most were White (121 [76.1%]). A total of 64 participants (41.0%) reported having unstable housing at baseline. Six-month hospitalizations decreased in both the A-ICU and EUC groups, with no difference between them (mean [SE], -0.6 [0.5] vs -0.9 [0.5]; difference, 0.3 [95% CI, -1.0 to 1.5]). Emergency department use did not differ between groups (mean [SE], -2.0 [1.0] vs 0.9 [1.0] visits per person; difference, -1.1 [95% CI, -3.7 to 1.6]). Primary care physician visits increased in the A-ICU group (mean [SE], 4.2 [1.6] vs -2.0 [1.6] per person; difference, 6.1 [95% CI, 1.8 to 10.4]). Patients in the A-ICU group reported improved social functioning (mean [SE], 4.7 [2.0] vs -1.1 [2.0]; difference, 5.8 [95% CI, 0.3 to 11.2]) and self-rated health (mean [SE], 0.7 [0.3] vs -0.2 [0.3]; difference, 1.0 [95% CI, 0.1 to 1.8]) compared with patients in the EUC group. No differences in patient activation or experience were observed.

Conclusions and Relevance

The A-ICU intervention did not change hospital or ED utilization at 6 months but increased PCP visits and improved patient well-being. Longer-term studies are needed to evaluate whether these observed improvements lead to eventual changes in acute care utilization.

Trial Registration

ClinicalTrials.gov Identifier: NCT03224858.

Intensive Case Management to Reduce Hospital Readmissions: A Pilot Quality Improvement Project

PURPOSE OF STUDY

Hospital readmissions burden the U.S. health care system, and they have negative effects on patients and their families. The primary aim of this study was to pilot an intensive case management (ICM) intervention to reduce 30-day hospital readmissions. A secondary aim was to obtain patient- and caregiver-reported reasons for readmission.

PRIMARY PRACTICE SETTING

The setting was a vertically integrated health care system located in Northern California.

METHODOLOGY AND SAMPLE

This pilot quality improvement project occurred over a 4-month period. The intervention was delivered by master's degree students in nurse case management through an academic-clinical partnership. Patients hospitalized with a 30-day readmission were offered the ICM intervention. A total of 36 patients were identified and 20 accepted. Patient and/or caregiver was interviewed to identify reasons for their readmission. Data were collected about pre-/post-health care utilization including subsequent 30-day readmission. Mixed methods were used to analyze the findings.

RESULTS

Thirteen of 20 enrolled patients received the weekly ICM intervention for at least 30 days. Seven declined further contact before 30 days. Patient-reported reasons for readmission included being discharged too soon, poor communication among providers and with patients/families, lack of understanding about disease management and/or treatment options, and inadequate support. Several patients believed that their readmission was unavoidable due to the complexity of their illnesses. We compared 30-day readmissions for those who participated in and those who declined the ICM intervention, finding that those who received the ICM intervention had a lower readmission rate than those who did not receive the intervention (35% vs. 37.5%).

Greater Covid-19 vaccine uptake among enrollees offered health and social needs case management: Results from a randomized trial

OBJECTIVE

To investigate Covid-19 vaccination as a potential secondary public health benefit of case management for Medicaid beneficiaries with health and social needs.

DATA SOURCES AND STUDY SETTING

The CommunityConnect case management program for Medicaid beneficiaries is run by Contra Costa Health, a county safety net health system in California. Program enrollment data were merged with comprehensive county vaccination records.

STUDY DESIGN

Individuals with elevated risk of hospital and emergency department use were randomized each month to a case management intervention or usual care. Interdisciplinary case managers offered coaching, community referrals, healthcare connections, and other support based on enrollee interest and need. Using survival analysis with intent-to-treat assignment, we assessed rates of first-dose Covid-19 vaccination from December 2020 to September 2021. In exploratory sub-analyses we also examined effect heterogeneity by gender, race/ethnicity, age, and primary language.

DATA COLLECTION AND EXTRACTION METHODS

Data were extracted from county and program records as of September 2021, totaling 12,866 interventions and 25,761 control enrollments.

PRINCIPAL FINDINGS

Approximately 58% of enrollees were female and 41% were under age 35. Enrollees were 23% White, 12% Asian/Pacific Islander, 20% Black/African American, and 36% Hispanic/Latino, and 10% other/unknown. Approximately 35% of the intervention group engaged with their case manager. Approximately 56% of all intervention and control enrollees were vaccinated after 9 months of analysis time. Intervention enrollees had a higher vaccination rate compared to control enrollees (adjusted hazard ratio [aHR]: 1.06; 95% confidence interval [CI]: 1.02-1.10). In sub-analyses, the intervention was associated with stronger likelihood of vaccination among males and individuals under age 35.

CONCLUSIONS

Case management infrastructure modestly improved Covid-19 vaccine uptake in a population of Medicaid beneficiaries that over-represents social groups with barriers to early Covid-19 vaccination. Amidst mixed evidence on vaccination-specific incentives, leveraging trusted case managers and existing case management programs may be a valuable prevention strategy.

Expanding the evidence for cross-sector collaboration in implementation science: creating a collaborative, cross-sector, interagency, multidisciplinary team to serve patients experiencing homelessness and medical complexity at hospital discharge

Introduction

Patients with medical and social complexity require care administered through cross-sector collaboration (CSC). Due to organizational complexity, biomedical emphasis, and exacerbated needs of patient populations, interventions requiring CSC prove challenging to implement and study. This report discusses challenges and provides strategies for implementation of CSC through a collaborative, cross-sector, interagency, multidisciplinary team model.

Methods

A collaborative, cross-sector, interagency, multidisciplinary team was formed called the Buffalo City Mission Recuperative Care Collaborative (RCU Collaborative), in Buffalo, NY, to provide care transition support for people experiencing homelessness at acute care hospital discharge through a medical respite program. Utilizing the Expert Recommendations for Implementing Change (ERIC) framework and feedback from cross-sector collaborative team, implementation strategies were drawn from three validated ERIC implementation strategy clusters: 1) Develop stakeholder relationships; 2) Use evaluative and iterative strategies; 3) Change infrastructure.

Results

Stakeholders identified the following factors as the main barriers: organizational culture clash, disparate visions, and workforce challenges related to COVID-19. Identified facilitators were clear group composition, clinical academic partnerships, and strategic linkages to acute care hospitals.

Discussion

A CSC interagency multidisciplinary team can facilitate complex care delivery for high-risk populations, such as medical respite care. Implementation planning is critically important when crossing agency boundaries for new multidisciplinary program development. Insights from this project can help to identify and minimize barriers and optimize utilization of facilitators, such as academic partners. Future research will address external organizational influences and emphasize CSC as central to interventions, not simply a domain to consider during implementation.

Hospital Readmissions by Variation in Engagement in the Health Care Hotspotting Trial: A Secondary Analysis of a Randomized Clinical Trial

Importance

Variability in intervention participation within care management programs can complicate standard analysis strategies.

Objective

To evaluate whether care management was associated with reduced hospital readmissions among individuals with higher participation probabilities.

Design, Setting, and Participants

A total of 800 hospitalized patients aged 18 years and older were randomized as part of the Health Care Hotspotting randomized clinical trial, which was conducted in Camden, New Jersey, from June 2014 to September 2017. Data were collected through October 2018. In this new analysis performed between April 6, 2022, and April 23, 2023, the distillation method was applied to account for variable intervention participation. A gradient-boosting machine learning model produced predicted probabilities of engaged participation using baseline covariates only. Predicted probabilities were used to trim both intervention and control populations in an equivalent manner, and intervention effects were reevaluated within study population subsets that were increasingly concentrated with patients having higher participation probabilities. Patients had 2 or more hospitalizations in the 6-month preenrollment period and documented evidence of chronic illness and social complexity.

Intervention

Multidisciplinary teams provided services to patients in the intervention arm for a mean 120 days after hospital discharge. Patients in the control group received usual postdischarge care.

Main Outcomes and Measures

Hospital readmission rates and counts 30, 90, and 180 days postdischarge.

Results

Of 800 eligible patients, 782 had complete discharge information and were included in this analysis (mean [SD] age, 56.6 [12.7] years; 395 [50.5%] female). In the intent-to-treat analysis, the unadjusted 180-day readmission rate for treatment and control groups was 60.1% vs 61.7% (adjusted odds ratio, 0.95; 95% CI, 0.71-1.28; P = .73) and the mean (SD) number of 180-day readmissions was 1.45 (1.89) vs 1.48 (1.94) (adjusted incidence rate ratio, 0.99, 95% CI, 0.88-1.12; P = .86). Among the population with the highest participation probabilities, the mean (SD) 180-day readmission count was 1.22 (1.74) vs 1.57 (1.74) and the incidence rate ratio attained statistical significance (adjusted incidence rate ratio, 0.74; 95% CI, 0.56-0.99; P = .045). Adjusted odds ratios and adjusted incidence rate ratios for 30- and 90-day outcomes reached statistical significance after population distillation.

Conclusions and Relevance

This secondary analysis of a randomized clinical trial found that care management was associated with reduced readmissions among patients with higher participation probabilities, suggesting that program operation could be improved by addressing barriers to participation and refining inclusion criteria to identify patients most likely to benefit.

Trial Registration

ClinicalTrials.gov Identifier: NCT02090426.

Impact of New York State's Health Home Model on Health Care Utilization

The Affordable Care Act established Medicaid health homes to provide care management and coordination for high-need individuals, including many with serious mental illness. The authors used data from the Medicaid Data Warehouse to examine health care utilization over 3 years among 10,193 individuals who enrolled in a New York State health home and had at least one outpatient mental health visit during the year prior to enrollment. Results for postenrollment year 2 indicated a 43% decrease in inpatient mental health discharges, a 38% decrease in substance use discharges, and a 7% reduction in general medical discharges, whereas mental health outpatient treatment and behavioral and nonbehavioral medication utilization increased. Further research is needed to determine the effectiveness of health home care management for individuals with serious mental illness.

Addressing Nursing Students' Understanding of Health Equity and Social Determinants of Health: An Innovative Teaching-Learning Strategy

ABSTRACT

Immersive learning opportunities across care settings enhance nursing students' understanding of the environmental, social, cultural, and policy factors that influence patients' health (e.g., social determinants of health) and care utilization. Hotspotting happens when care teams visit patients with frequent hospital admissions to coordinate outpatient care. However, geographic limitations may inhibit the delivery of hotspotting learning opportunities available to students. Delivering immersive hotspotting opportunities over virtual reality helps to overcome this barrier. This overview summarizes the design and implementation of a virtual reality hotspotting experience designed to aid students in understanding the impact of social determinants of health on care transitions.

Lessons Learned from the Camden Coalition's Work with High Needs, High Complexity Patients

The Camden Coalition of Healthcare Providers built a nationally recognized model of intensive care coordination for high needs, high complexity patients. The model was tested using a randomized controlled trial, which showed no impact on hospital and emergency room utilization. This was a surprising result at the time. The negative results may have been due to several factors including untreated and unresolved early life trauma, lack of access to appropriately trained local services, and incorrect diagnosis and treatments within the health care field. Integration of high-quality primary care services within the mental health and social service field may be a more effective solution than coordination between services.

Reframing Value-Based Care Management: Beyond Cost Reduction and Toward Patient Centeredness

Importance

Care management programs are increasingly being utilized by health systems as a new foundational strategy to advance value-based care. These programs offer the promise of improving patient outcomes while decreasing health care utilization and costs. However, as these programs proliferate in number and specialization, the field of care management is increasingly at risk of fragmentation, inefficiency, and failure to meet the core needs of the patient.

Observations

This review of the current state of care management identifies several key challenges for the field, including an unclear value proposition, a focus on system- vs patient-centered outcomes, increased specialization by private and public entrants that produces care fragmentation, and lack of coordination among health and social service entities. A framework is proposed for reorienting care management to truly address the needs of patients through acknowledging the dynamic nature of patient care needs, providing a continuum of need-targeted programming, coordinating care among all involved entities and staff, and performing regular evaluations of outcomes that include patient-centered and health equity measures. Guidance on how this framework can be implemented within a health system and an outline of recommendations is provided for how policymakers may incentivize the development of high value and more equitable care management programs.

Conclusions and Relevance

With increased focus on care management as a cornerstone of value-based care, value-based health leaders and policymakers can improve the effectiveness and value of care management programs, reduce patient financial burden for care management services, and promote stakeholder coordination.

Provision of Social Care Services by US Hospitals

Policy Points Hospitals address population health needs and patients' social determinants of health by offering social care services. Tax-exempt hospitals are required to invest in community benefits, including social care services programs, though most community benefits spending is toward unreimbursed health care services. Tax-exempt hospitals offer about 36% more social care services than for-profit hospitals. Among tax-exempt hospitals, those that allocate more resources to community benefits spending offer more types of social care services, but those in states with minimum community benefits spending requirements offer fewer social care services. Policymakers may consider specifically incentivizing community benefits expenditures toward particular social care services, including linking tax exemptions to implementation, utilization, and outcome targets, to more directly help patients.

CONTEXT

Despite growing interest in identifying patients' social needs, little is known about hospitals' provision of services to address them. We identify social care services offered by US hospitals and determine whether hospital spending or state policies toward community benefits are associated with the provision of these services by tax-exempt hospitals.

METHODS

National secondary data about hospitals were collected from the American Hospital Association Annual Survey, with additional Internal Revenue Service (IRS) Form 990 data on community benefits spending from CommunityBenefitInsight.org and state-level community benefits policies from HilltopInstitute.org. Descriptive statistics for types of social care services and hospital characteristics were calculated, with bivariate chi-square and t-tests comparing for-profit and tax-exempt hospitals. Multivariable Poisson regression was used to estimate associations between hospital characteristics and types of services offered and among tax-exempt hospitals to estimate associations between social care services and community benefits spending and policies. Multivariable logistic regressions modeled associations between community benefits spending/policies and each type of social care services.

FINDINGS

Private US hospitals offered an average of 5.7 types of social care services in 2018. Tax-exempt hospitals offered about 36% more social care services than for-profit hospitals. Larger number of beds, health system affiliation, and having community partnerships are associated with more social care services, whereas rural hospitals and those managed under contract offered fewer social care services. Among tax-exempt hospitals, greater community benefits spending is associated with offering more total (incidence rate ratio [IRR] = 1.10, p < 0.01) and patient-focused social care services (IRR = 1.16, p < 0.01). Hospitals in states with minimum community benefits spending requirements offered significantly fewer social care services.

CONCLUSIONS

Although tax-exempt status and increased community benefits spending were associated with increased social care services provision, the observation that certain hospital characteristics and state minimum community benefits spending requirements were associated with fewer social care services suggests opportunities for policy reform to increase social care services implementation.

Addressing Health-Related Social Needs Via Community Resources: Lessons From Accountable Health Communities

The Center for Medicare and Medicaid Innovation launched the Accountable Health Communities (AHC) Model in 2017 to assess whether identifying and addressing Medicare and Medicaid beneficiaries' health-related social needs reduced health care use and spending. We surveyed a subset of AHC Model beneficiaries with one or more health-related social needs and two or more emergency department visits in the prior twelve months to assess their use of community services and whether their needs were resolved. Survey findings indicated that navigation-connecting eligible patients with community services-did not significantly increase the rate of community service provider connections or the rate of needs resolution, relative to a randomized control group. Findings from interviews with AHC Model staff, community service providers, and beneficiaries identified challenges connecting beneficiaries to community services. When connections were made, resources often were insufficient to resolve beneficiaries' needs. For navigation to be successful, investments in additional resources to assist beneficiaries in their communities may be required.

Health Care Impacts Of Resource Navigation For Health-Related Social Needs In The Accountable Health Communities Model

Social determinants of health can adversely affect health and therefore lead to poor health care outcomes. When it launched in 2017, the Accountable Health Communities (AHC) Model was at the forefront of US health policy initiatives seeking to address social determinants of health. The AHC Model, sponsored by the Centers for Medicare and Medicaid Services, screened Medicare and Medicaid beneficiaries for health-related social needs and offered eligible beneficiaries assistance in connecting with community services. This study used data from the period 2015-21 to test whether the model had impacts on health care spending and use. Findings show statistically significant reductions in emergency department visits for both Medicaid and fee-for-service Medicare beneficiaries. Impacts on other outcomes were not statistically significant, but low statistical power may have limited our ability to detect model effects. Interviews with AHC Model participants who were offered navigation services to help them find community-based resources suggested that navigation services could have directly affected the way in which beneficiaries engage with the health care system, leading them to be more proactive in seeking appropriate care. Collectively, findings provide mixed evidence that engaging with beneficiaries who have health-related social needs can affect health care outcomes.

Health E Englewood Health and Wellness Program: A Social Determinants of Health Intervention in Englewood, New Jersey

BACKGROUND

The Health E Englewood Health and Wellness Program is a social determinant of health (SDoH) intervention developed to address social factors affecting the health of the North Hudson Community Action Corporation (NHCAC) patients', a Federally Qualified Health Center located in Englewood, New Jersey. The main aim of this integrated wellness approach was to educate and motivate participants from the local community by strengthening the development of healthy lifestyles and providing the necessary tools for positive behavior change.

METHODS

Health E Englewood was a four consecutive week workshop series focused on three areas of health: physical, emotional, and nutritional wellness. The program targeted Spanish-speaking patients from NHCAC and was offered virtually via Zoom in Spanish.

RESULTS

The Health E Englewood program was launched in October 2021 with 40 active participants. About 63% of participants attended at least three of the four workshop sessions, with at least 60% of participants reporting improved lifestyle changes after the program. Additional follow-up data collected six months later also indicated evidence of the program's long-term benefits.

DISCUSSION

Social factors are the primary drivers of health outcomes. While many determinant interventions have failed to show long-lasting benefits, studying these interventions and their impact is crucial as it avoids "re-creating the wheel" inside health care and increasing costs.

Experiment aversion among clinicians and the public - an obstacle to evidence-based medicine and public health

Background

Randomized controlled trials (RCTs) are essential for determining the safety and efficacy of healthcare interventions. However, both laypeople and clinicians often demonstrate experiment aversion: preferring to implement either of two interventions for everyone rather than comparing them to determine which is best. We studied whether clinician and layperson views of pragmatic RCTs for Covid-19 or other interventions became more positive early in the pandemic, which increased both the urgency and public discussion of RCTs.

Methods

We conducted several survey studies with laypeople (total n=2,909) and two with clinicians (n=895; n=1,254) in 2020 and 2021. Participants read vignettes in which a hypothetical decision-maker who sought to improve health could choose to implement intervention A for all, implement intervention B for all, or experimentally compare A and B and implement the superior intervention. Participants rated and ranked the appropriateness of each decision.

Results

Compared to our pre-pandemic results, we found no decrease in laypeople's aversion to non-Covid-19 experiments involving catheterization checklists and hypertension drugs. Nor were either laypeople or clinicians less averse to Covid-19 RCTs (concerning corticosteroid drugs, vaccines, intubation checklists, proning, school reopening, and mask protocols), on average. Across all vignettes and samples, levels of experiment aversion ranged from 28% to 57%, while levels of experiment appreciation (in which the RCT is rated higher than the participant's highest-rated intervention) ranged from only 6% to 35%.

Conclusions

Advancing evidence-based medicine through pragmatic RCTs will require anticipating and addressing experiment aversion among both patients and healthcare professionals.

Using network analyses to characterise Australian and Canadian frequent attenders to the emergency department

OBJECTIVE

To explore and compare the characteristics of frequent attenders to the ED at an Australian and a Canadian tertiary hospitals by utilising a network analysis approach.

METHODS

We conducted a retrospective population-based study using administrative data over the 2018 and 2019 calendar years. Participants were from a tertiary hospital in Melbourne, Australia, and Toronto, Canada. Frequent attenders were defined as patients with four or more visits in 12 months. Characteristics of younger (18-39 years), middle-aged (40-69 years) and older (70 years and older) frequent attenders were described using descriptive statistics and network analyses.

RESULTS

Younger frequent attenders were characterised by mental illness and substance use, while older frequent attenders had high rates of physical (including chronic) diseases. Middle-aged frequent attenders were characterised by a combination of mental and physical illnesses. These findings were observed at both hospitals. Across all age groups, the network analyses between the Melbourne and Toronto hospitals were different. Among older frequent attender visits, more diagnoses were associated with high triage acuity at the Toronto hospital than at the Melbourne hospital. Some associations were similar at both sites, for example, the negative correlation between high triage acuity and joint pain.

CONCLUSION

Younger, middle-aged and older frequent attenders have distinct characteristics, made readily apparent by using network analyses. Future interventions to reduce ED visits should consider the heterogeneity of frequent attenders who have needs specific to their age, presenting problems and jurisdiction.

Evaluation of "Care Plus," A Multidisciplinary Program to Improve Population Health for Patients With High Utilization

With rising health care costs, health systems have adopted alternative care models targeting high-need, high-cost patients to improve chronic disease management and population health. Intensive primary care teams may reduce health care utilization by tackling medical and psychosocial needs specific to this patient population. This study presents health care utilization trends from a high-intensity primary care program that employs a multidisciplinary team (including clinicians, psychologists, pharmacists, chaplaincy, and community health workers) and community partnerships. Using descriptive statistics and Poisson rates of differences, this study evaluates patient and utilization characteristics of those enrolled (n = 341) versus declined (n = 54) program participation from 2013 to 2020. Both enrolled and declined patients experienced significant reduction in emergency department and inpatient utilization, but differences between enrolled and declined patients were not statistically significant. Programs aimed at decreasing health care utilization for high-need, high-cost, medically complex patients may be best supported by interventions that simultaneously address social and behavioral health needs.

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.

Integrating data analytics, peer support, and whole health coaching to improve the health outcomes of homeless veterans: Study protocol for an effectiveness-implementation trial

BACKGROUND

Homelessness is a strong determinant of acute care service utilization (inpatient hospitalization, emergency department visits) among US adults. Data analytics, peer support, and patient-centered approaches can collectively offer high-quality care for homeless patients who frequently utilize acute care ("super utilizers"). However, few outpatient programs have integrated these components and tested their effectiveness for this patient population.

OBJECTIVE

To test the effectiveness and implementation potential of a novel intervention that integrates data analytics with peers trained in whole health coaching ("Peer Whole Health") to reduce use of acute care among homeless adults.

METHODS

Using a randomized controlled trial design at two US Veterans Health Administration Medical Centers, we plan to enroll 220 veterans in primary care on VHA's Homeless Registry who are flagged on a super-utilizer clinical dashboard. Participants will complete a baseline interview, be randomized to Enhanced Usual Care (EUC; primary care and data analytics) or EUC plus 18 sessions of Peer Whole Health over 6 months, and be re-interviewed at 3, 6, and 9 months. Qualitative interviews with primary care staff and patients will identify facilitators and barriers to more widespread implementation of the intervention.

DISCUSSION

The primary hypothesis is that those who receive the intervention will have fewer total days of all-cause hospitalization. If confirmed, the findings can provide healthcare systems that serve homeless super-utilizers with a high-value approach to care that can be integrated into primary care services and reduce overall costs for these patients.

CLINICAL TRIAL REGISTRATION

The study is registered with ClinicalTrials.gov (NCT05176977).

Evaluating a Care Management Program for Dual-Eligible Beneficiaries: Evidence from Rhode Island

As health systems attempt to contain utilization and costs, care management programs are proliferating. However, there are mixed findings on their impact. In 2018, Rhode Island initiated a care management program for dually eligible Medicare and Medicaid beneficiaries at high risk of hospitalization or institutionalization. The objective of this study is to evaluate the association between health care utilization and costs and care management for dual-eligible participants (n = 169). The authors employed an interrupted time series analysis of administrative claims data using the Rhode Island All Payer Claims Database, which includes data from all major payers in the state, for 11 quarters (January 1, 2017 until September 1, 2019). On average, participants were younger (46.2% were 19-64 years of age vs. 41.9% of non-participants), female (71% vs. 62.6% of non-participants), and had a higher comorbidity burden (more commonly had anemia, atrial fibrillation, chronic kidney disease, chronic obstructive pulmonary disease, depression, diabetes, heart failure, hyperlipidemia, hypertension, ischemic heart disease, and stroke). Participation was associated with significantly fewer hospital admissions (118 fewer admissions per 1000 admissions per quarter; 95% confidence interval [CI] -11 to -22), and a reduction in Medicaid ($1841 less spent per quarter, 95% CI -2407 to -1275) and total ($2570 less spent per quarter; 95% CI -$4645 to -$495) costs. Participation was not significantly associated with a change in Emergency Department (ED) visits, preventable ED visits, Skilled Nursing Facility stays, or Medicare costs. These results suggest that targeted care management programs may provide dual-eligible beneficiaries with needed services while diverting inefficient health care utilization.

Novel integration of governmental data sources using machine learning to identify super-utilization among U.S. counties

Background

Super-utilizers consume the greatest share of resource intensive healthcare (RIHC) and reducing their utilization remains a crucial challenge to healthcare systems in the United States (U.S.). The objective of this study was to predict RIHC among U.S. counties, using routinely collected data from the U.S. government, including information on consumer spending, offering an alternative method for identifying super-utilization among population units rather than individuals.

Methods

Cross-sectional data from 5 governmental sources in 2017 were used in a machine learning pipeline, where target-prediction features were selected and used in 4 distinct algorithms. Outcome metrics of RIHC utilization came from the American Hospital Association and included yearly: (1) emergency rooms visit, (2) inpatient days, and (3) hospital expenditures. Target-prediction features included: 149 demographic characteristics from the U.S. Census Bureau, 151 adult and child health characteristics from the Centers for Disease Control and Prevention, 151 community characteristics from the American Community Survey, and 571 consumer expenditures from the Bureau of Labor Statistics. SHAP analysis identified important target-prediction features for 3 RIHC outcome metrics.

Results

2475 counties with emergency rooms and 2491 counties with hospitals were included. The median yearly emergency room visits per capita was 0.450 [IQR:0.318, 0.618], the median inpatient days per capita was 0.368 [IQR: 0.176, 0.826], and the median hospital expenditures per capita was $2104 [IQR: $1299.93, 3362.97]. The coefficient of determination (R2), calculated on the test set, ranged between 0.267 and 0.447. Demographic and community characteristics were among the important predictors for all 3 RIHC outcome metrics.

Conclusions

Integrating diverse population characteristics from numerous governmental sources, we predicted 3-outcome metrics of RIHC among U.S. counties with good performance, offering a novel and actionable tool for identifying super-utilizer segments in the population. Wider integration of routinely collected data can be used to develop alternative methods for predicting RIHC among population units.

A Pharmacy Liaison-Patient Navigation Intervention to Reduce Inpatient and Emergency Department Utilization Among Primary Care Patients in a Medicaid Accountable Care Organization: A Nonrandomized Controlled Trial

IMPORTANCE

Patients with unmet health-related social needs are at high risk for preventable health care utilization. Prior interventions to identify health-related social needs and provide navigation services with community resources have not taken place in pharmacy settings.

OBJECTIVE

To evaluate an enhancement of pharmacy care to reduce hospital admissions and emergency department (ED) visits among primary care patients in a Medicaid accountable care organization (ACO).

DESIGN, SETTING, AND PARTICIPANTS

This nonrandomized controlled trial was conducted from May 1, 2019, through March 4, 2021, with 1 year of follow-up. Study allocation was determined by odd or even medical record number. The study was performed at a general internal medicine practice at a large safety-net hospital in Boston, Massachusetts. Patients who qualified for the hospital's pharmacy care program (aged 18-64 years and within the third to tenth percentile for health care utilization and cost among Medicaid ACO membership) who attended a visit with a primary care clinician were eligible. Of 770 eligible patients, 577 were approached, 127 declined, and 86 could not be contacted.

INTERVENTIONS

Patients in the control group received usual pharmacy care focused on medication adherence. Patients in the intervention group received enhanced pharmacy care with an additional focus on identification of and intervention for health-related social needs. The intervention took place for 1 year.

MAIN OUTCOMES AND MEASURES

The primary outcome was inpatient hospital admissions and ED visits (composite outcome) in the 12 months after enrollment during the intervention period.

RESULTS

Among 364 allocated patients (mean [SD] age, 50.1 [10.1] years; 216 women [59.3%]), 35 were Hispanic of any race (9.6%) and 214 were non-Hispanic Black (58.8%). All participants were included in the intention-to-treat analysis. In analyses controlling for baseline hospital admissions and ED visits the year prior to enrollment, the enhanced pharmacy care group was not associated with the odds of having any hospital admission or ED visit (adjusted odds ratio, 0.62 [95% CI, 0.23-1.62]; P = .32) among all patients and was not associated with the visit rates among those with any visit (adjusted rate ratio, 0.93 [95% CI, 0.71-1.22]; P = .62) relative to the usual pharmacy care group in the year following enrollment.

CONCLUSIONS AND RELEVANCE

The findings of this nonrandomized controlled trial suggest that inpatient and ED utilization among Medicaid ACO members at a safety-net hospital was not significantly different between groups at 1-year follow-up.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT03919084.

Effect of Information Intervention on Prescribing Practice for Neuropathic Pain in Older Patients: A Nationwide Register-Based Study

INTRODUCTION

Management of prescription medicines is challenging for older patients due to frail health and the prevalence of multiple chronic conditions. A salient policy challenge of prescribing practices is that all physicians are not well informed about the national clinical guidelines. A feasible policy intervention to mitigate the harms caused by Potentially Inappropriate Medications is to influence the frequency of prescribing and other prescribing attributes of the drugs by providing accurate and up-to-date information about the national clinical guidelines.

OBJECTIVES

The objective of this study was to examine the effect of a nationwide information intervention on physicians' prescribing practices and patients' healthcare utilization.

METHODS

We used a quasi-experimental research design based on difference-in-differences variation and nationwide register data on prescribers and purchasers of pregabalin, nortriptyline, and amitriptyline combinations in Finland between January 2018 and May 2019. The study included 68,914 patients and 11,432 physicians.

RESULTS

We found that the information letter sent to all prescribers of pregabalin, nortriptyline, or amitriptyline combinations to patients aged 75 years or older decreased the probability of prescribing of these medications. The estimated effect of - 3.3 percentage points (95% confidence interval [- 0.041, - 0.024]) corresponds to a 29% reduction compared to the baseline mean of the outcome. The filled quantity, measured in Defined Daily Doses, of pregabalin, nortriptyline, and amitriptyline combinations per month was reduced by 11.7% [- 14.5% to - 8.9%] among patients aged 75 years or older. No effect on patients' healthcare utilization was observed.

CONCLUSIONS

Findings of the study suggest that personal information intervention was an effective policy tool for nudging physicians to reduce prescribing of potentially inappropriate medicines, whereas the reduction in prescribing was not accompanied by improvements or adverse effects in patients' health.

Conceptualizing the effective mechanisms of a social needs case management program shown to reduce hospital use: a qualitative study

BACKGROUND

Social needs case management programs are a strategy to coordinate social and medical care for high-risk patients. Despite widespread interest in social needs case management, not all interventions have shown effectiveness. A lack of evidence about the mechanisms through which these complex interventions benefit patients inhibits effective translation to new settings. The CommunityConnect social needs case management program in Contra Costa County, California recently demonstrated an ability to reduce inpatient hospital admissions by 11% in a randomized study. We sought to characterize the mechanisms through which the Community Connect social needs case management program was effective in helping patients access needed medical and social services and avoid hospitalization. An in-depth understanding of how this intervention worked can support effective replication elsewhere.

METHODS

Using a case study design, we conducted semi-structured, qualitative interviews with case managers (n = 30) and patients enrolled in social needs case management (n = 31), along with field observations of patient visits (n = 31). Two researchers coded all interview transcripts and observation fieldnotes. Analysis focused on program elements identified by patients and staff as important to effectiveness.

RESULTS

Our analyses uncovered three primary mechanisms through which case management impacted patient access to needed medical and social services: [1] Psychosocial work, defined as interpersonal and emotional support provided through the case manager-patient relationship, [2] System mediation work to navigate systems, coordinate resources, and communicate information and [3] Addressing social needs, or working to directly mitigate the impact of social conditions on patient health.

CONCLUSIONS

These findings highlight that the system mediation tasks which are the focus of many social needs assistance interventions offered by health care systems may be necessary but insufficient. Psychosocial support and direct assistance with social needs, enabled by a relationship-focused program, may also be necessary for effectiveness.

Impact of an addiction medicine consult team intervention in a Canadian inner city hospital on acute care utilization: a pragmatic quasi-experimental study

Background

Inner city patients have a higher illness burden and need for care, but experience more unmet care needs. Hospital Addiction Medicine Consult Teams (AMCTs) are a promising emerging intervention. The objective of this study was to assess the impact of a Canadian AMCT-like intervention for inner city patients on reduction in high emergency department (ED) use, hospital admission, and inpatient length of stay.

Methods

Using a community-engaged, two-arm, pre-post, longitudinal quasi-experimental study design, 572 patients reporting active substance use, unstable housing, unstable income, or a combination thereof (302 at intervention site, 270 at control sites) were enrolled. Survey and administrative health service data were collected at baseline, six months post-enrolment, and 12 months post-enrolment. Multivariable regression models tested the intervention effect, adjusting for clinically important covariables (inpatient status at enrolment, medical complexity, age, gender, Indigenous identity, shelter use, opioid use).

Results

Initial bivariable analyses demonstrated an intervention effect on reduction in admissions and length of stay, however, this effect was no longer significant after adjusting for covariables. There was no evidence of reduction in high ED use on either bivariable or subsequent multivariable analysis.

Conclusions

After adjusting for covariables, no AMCT intervention effect was detected for reduction in high ED use, inpatient admission, or hospital length of stay. Further research is recommended to assess other patient-oriented intervention outcomes.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13011-022-00445-7.

Pragmatic Clinical Trial to Improve Patient Experience Among Adults During Transitions from Hospital to Home: the PArTNER study

INTRODUCTION

Minority-serving hospitals (MSHs) need evidence-based strategies tailored to the populations they serve to improve patient-centered outcomes after hospitalization.

METHODS

We conducted a pragmatic randomized clinical trial (RCT) from October 2014 to January 2017 at a MSH comparing the effectiveness of a stakeholder-supported Navigator intervention vs. Usual care on post-hospital patient experience, outcomes, and healthcare utilization. Community health workers and peer coaches delivered the intervention which included (1) in-hospital visits to assess barriers to health/healthcare and to develop a personalized Discharge Patient Education Tool (DPET); (2) a home visit to review the DPET; and (3) telephone-based peer coaching. The co-primary outcomes were between-group comparisons of 30-day changes in Patient-Reported Outcomes Measurement Information System (PROMIS) measures of anxiety and informational support (minimum important difference is 2 to 5 units change); a p-value <0.025 was considered significant using intention-to-treat analysis. Secondary outcomes included death, ED visits, or readmissions and measures of emotional, social, and physical health at 30 and 60 days.

RESULTS

We enrolled 1029 adults hospitalized with heart failure (28%), pneumonia (22%), MI (10%), COPD (11%), or sickle cell disease (29%). Over 80% were non-Hispanic Black. Overall, there were no significant between-group differences in the 30-day change in anxiety (adjusted difference: -1.6, 97.5% CI -3.3 to 0.1, p=0.03), informational support (adjusted difference: -0.01, 97.5% CI -2.0 to 1.9, p=0.99), or any secondary outcomes. Exploratory analyses suggested the Navigator intervention improved anxiety among participants with COPD, a primary care provider, a hospitalization in the past 12 months, or higher baseline anxiety; among participants without health insurance, the intervention improved informational support (all p-values <0.05).

CONCLUSIONS

In this pragmatic RCT at a MSH, the Navigator intervention did not improve post-hospital anxiety, informational support, or other outcomes compared to Usual care. Benefits observed in participant subgroups should be confirmed in future studies.

TRIAL REGISTRATION

Clinicaltrials.gov identifier: NCT02114515.

The distillation method: A novel approach for analyzing randomized trials when exposure to the intervention is diluted

OBJECTIVE

To introduce a novel analytical approach for randomized controlled trials that are underpowered because of low participant enrollment or engagement.

DATA SOURCES

Reanalysis of data for 805 patients randomized as part of a pilot complex care intervention in 2015-2016 in a large delivery system. In the pilot randomized trial, only 64.6% of patients assigned to the intervention group participated.

STUDY DESIGN

A case study and simulation. The "Distillation Method" capitalizes on the frequently observed correlation between the probability of subjects' participation or engagement in the intervention and the magnitude of benefit they experience. The novel method involves three stages: first, it uses baseline covariates to generate predicted probabilities of participation. Next, these are used to produce nested subsamples of the randomized intervention and control groups that are more concentrated with subjects who were likely to participate/engage. Finally, for the outcomes of interest, standard statistical methods are used to re-evaluate intervention effectiveness in these concentrated subsets.

DATA EXTRACTION METHODS

We assembled secondary data on patients who were randomized to the pilot intervention for one year prior to randomization and two follow-up years. Data included program enrollment status, membership data, demographics, utilization, costs, and clinical data.

PRINCIPAL FINDINGS

Using baseline covariates only, Generalized Boosted Regression Models predicting program enrollment performed well (AUC 0.884). We then distilled the full randomized sample to increasing levels of concentration and reanalyzed program outcomes. We found statistically significant differences in outpatient utilization and emergency department utilization (both follow-up years), and in total costs (follow-up year two only) at select levels of population concentration.

CONCLUSIONS

By offering an internally valid analytic framework, the Distillation Method can increase the power to detect effects by redefining the estimand to subpopulations with higher enrollment probabilities and stronger average treatment effects while maintaining the original randomization.