High-need Patients Research Articles

Medicare Advantage customer service is used most by higher-need patients.

To examine characteristics of Medicare Advantage (MA) enrollees who use their plan's customer service to help plans understand how to better meet members' needs. National sample of 259,533 respondents to MA Consumer Assessment of Healthcare Providers and Systems survey enrolled in any of the 559 MA contracts in2022. We assessed the association between self-reported customer service use in the prior 6 months and enrollee demographic, coverage, health, and health care utilization characteristics. We used weighted linear regression models to test for bivariate and multivariate associations between customer service use and enrolleecharacteristics. Forty-two percent of MA enrollees reported using customer service in the prior 6 months. Use was 20percentage points (PP) higher for those in poor vs excellent/very good general health, 13 PP higher for those in poor vs excellent/very good mental health, and 14 PP higher for those reporting 3 or more vs no chronic conditions. Those using customer service more often had lower educational attainment, had limited income and assets, preferred another language to English, and had greater health careutilization. MA customer service supports a less healthy, higher-need population with greater-than-average barriers to health care, and so should be designed and staffed to effectively serve medically complex, high-need patients. Commercial plan evidence suggests that continuity in customer service support for a member or a given issue may be helpful. Customer service is an important mechanism for improving quality and addressing healthequity.

SCOPING THE AVAILABILITY AND APPROPRIATENESS OF EXERCISE SERVICES FOR PEOPLE WITH CANCER IN REGIONAL WESTERN AUSTRALIA

BACKGROUND National guidance directs oncology healthcare professionals to refer patients to exercise in standard care, yet referrals happen rarely in practice resulting in a critical research-to-practice gap. One major barrier preventing referrals—especially in rural and regional areas—is the lack of appropriate exercise programming available to people with cancer. Therefore, the aims of this study are to 1) determine the availability of exercise oncology programs in a regional area of Western Australia; and 2) explore the appropriateness of these resources to meet the needs of people living with cancer in this region so that a comprehensive referral resource can be created for the region. METHODS A comprehensive online search identified all exercise services available in the region for people with cancer. Services were categorised using the Cancer Rehabilitation to Recreation (CaReR) framework to describe the level of care each provided. The geographical makeup and demographics of the cancer population in the region were matched to the services to identify service-gaps. RESULTS Approximately 194 000 people live in the Soutwest, with ∼1300 residents diagnosed with cancer each year. Sixty-six exercise oncology services were identified as appropriate for serving this entire population. 62% of all programs were located in the two largest shires across the region. 66% of services were categorised as CaReR Phase 1, providing targeted, supervised care for high-needs patients; 79% as Phase 2, providing targeted, supervised care for medium needs patients; and 28 percent as Phase 3, independent, community-based care for low needs patients. CONCLUSION The Southwest region is significantly under-resourced to meet the national directive to embed exercise referrals into care for people with cancer. Lack of available exercise services for this population, and few programs catering for a diverse range of patient needs underpin this. Implementation-focused research is required to address this critical research-to-practice gap.

The effect of an extended-hours ED clinical pharmacy service on admission medication prescribing errors.

The aim of this study was to determine the effect of a 7-day extended-hours clinical pharmacy service in the ED on medication prescribing errors upon hospital admission and time to medication reconciliation. In this retrospective observational study, high-needs patients reviewed by ED pharmacists were compared against those not reviewed, to determine if the service was associated with reduction in admission medication errors. The primary outcome was the rate of medication errors. Errors were independently rated by two senior clinicians using a risk-probability matrix. Secondary outcomes included service's impact on time to best possible medication history (BPMH) and medication reconciliation. There were 242 patients who met the inclusion criteria: 105 intervention vs 137 control. In the intervention arm, 74 patients had at least 1 medication error compared with 113 in the control arm (total errors 206 vs 407). The error rate per 10 medications (interquartile range) was 1.4 (0, 2.9) in the intervention arm compared with 2.7 (1.2, 4.3) in the control arm (risk ratio 0.66 [95% confidence interval: 0.56-0.78]; P < 0.001). There were 33 moderate-risk and no high-risk errors (intervention), compared with 84 moderate-risk and 3 high-risk errors (control). Percent agreement was 98.98% (weighted kappa: 0.62). Time to BPMH and medication reconciliation were reduced from 40.5 and 45.0 h to 7.8 and 40.0 h, respectively. The 7-day extended-hours ED clinical pharmacy service was associated with a reduction in medication prescribing errors in high-needs patients and improved time to BPMH and medication reconciliation.

A Randomized Controlled Trial of a Pay-for-Performance Initiative to Reduce Costs of Care for High-Need Psychiatric Patients.

Pay-for-performance (P4P) initiatives hold promise for improving health care delivery but are rarely applied to behavioral health or tested in randomized controlled trials (RCTs). This RCT examined the effectiveness of a P4P initiative to reduce total cost of 24-hour care among patients with high needs for psychiatric care in a large county in California. From August 2016 to March 2022, a total of 652 adult residents of Santa Clara County, California, were enrolled in a P4P initiative (mean±SD age=46.7±13.3 years, 61% male, 51% White, and 60% diagnosed as having a bipolar or psychotic disorder). Participants were randomly assigned to usual full-service partnerships from the county (N=327) or a comparable level of care from a contractor who agreed to a schedule of financial penalties and rewards based on whether enrollees (N=325) used more or less care than a historical cohort of similar county patients. The primary outcome was total cost of 24-hour psychiatric services. Secondary outcomes were costs of each of the 24-hour care services. The proportion of the total sample that used 24-hour psychiatric services decreased over the 36-month study period. Intent-to-treat analyses revealed no differences between the two study conditions in total care costs during the follow-up period. No significant care utilization differences were observed between the two conditions in most of the individual 24-hour services. A P4P initiative for high-need patients was no more effective than usual care for reducing costs of 24-hour psychiatric care.

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

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. 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. 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. 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. 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. DERR1-10.2196/54211. ClinicalTrials.gov NCT05714605; https://clinicaltrials.gov/ct2/show/NCT05714605.

Using predictive risk modelling to identify patients with hidden health needs in an Aboriginal and Torres Strait Islander health service.

In partnership with an Aboriginal and Torres Strait Islander community-controlled health service, we explored the use of a machine learning tool to identify high-needs patients for whom services are harder to reach and, hence, who do not engage with primary care. Using deidentified electronic health record data, two predictive risk models (PRMs) were developed to identify patients who were: (1) unlikely to have health checks as an indicator of not engaging with care; and (2) likely to rate their wellbeing as poor, as a measure of high needs. According to the standard metrics, the PRMs were good at predicting health checks but showed low reliability for detecting poor wellbeing. Results and feedback from clinicians were encouraging. With additional refinement, informed by clinic staff feedback, a deployable model should befeasible.

Identifying High-Cost, High-Need Patients in a Network of Community Hospitals.

We examined healthcare costs at HonorHealth, a community-based academic health center comprised of 5 hospitals and numerous ambulatory care facilities. Patient encounters that resulted in admission in 2019 were included in the study. Mean costs in 2019 for high costs and high needs (HCHN) patients were compared with all remaining patients using a framework developed by the National Academy of Medicine. HCHN patients were older (71 vs 52 years), with a lower percentage of females (41.7% vs 59.8%), more frequently White (90.1% vs 87.5%), less frequently married (52.4% vs 54.5%), with a longer length of stay (6.5 vs 3.0 days) and higher mean charges ($134 743 vs $16 414). The mean cost per patient in the HCHN group decreased by age group ($192, 963, $165 200, $144 584, $134 795, and $108 356) for 0 to 18, 19 to 44, 45 to 64, 65 to 84, and 85+ years, respectively. HCHN patients were more publicly insured (49% vs 38%). Targeted interventions to treat HCHN may lead to lower healthcare costs and improved health outcomes within this system.

List size disequilibria and service provision in general practice

Abstract: Several Nordic countries remunerate general practice by a mix of capitation and fee-for-service. From the literature we know that capitation-based payments come with a risk of undersupply of services, whereas fee-for-service comes with a risk of overprovision of services. Previous studies from the Nordic countries assess potential overprovision of services in general practices that are falling short of enlisted patients. However, today the main challenge in general practice is physician shortages, which comes with a risk of underprovision of services. Little is known about whether physician shortage in fact leads to underprovision of services. Using the two-way Mundlak regression on a panel of Danish general practices in 2016-17, this study assesses whether holding a longer than preferred patient list is associated with fewer services per enlisted patient. Around 100 of our sample of 1,652 practices hold longer lists than preferred. These practices have on average an excess of around 80 patients per full time general practitioner. We find little support of the hypothesis that practices with longer than preferred lists provide fewer contacts per patient. Heterogeneity analyses, however, reveal that practices with longer lists tend to provide fewer services to patients with complex needs. Policymakers should therefore be aware that there may be underprovision of services to high-need patients when there is a shortage of GPs.

Mental Health Referrals Among Medicare Advantage Enrollees Receiving Home-Based Annual Wellness Visits in Puerto Rico During the COVID-19 Pandemic.

Annual Wellness Visits (AWV) promote preventive care for older adults, yet uptake remains low. To increase AWVs, a Medicare Advantage (MA) plan in Puerto Rico contracted a medical group to provide home-based AWVs during the last quarter of 2020. Using data from 464 visits, we conducted descriptive and multivariable analysis to profile patient characteristics and identify predictors of mental health referrals. We found that 87% of patients had multiple chronic conditions, 75% were taking more than 5 medications, and the odds of a mental health referral were higher for those who also had a nutrition-related condition (AOR = 5.05, CI95: 1.76-11.88), diabetes (AOR = 3.34, CI95: 1.18-7.58), or an additional reported uncontrolled health issue (AOR = 28.18, CI95: 8.96-70.59). This strategy helped one MA plan reach high-need patients, but coordination of follow-up care is needed to ensure patients receive recommended services.

Caring for high-need patients

ObjectiveWe aimed to explore the construct of “high need” and identify common need domains among high-need patients, their care professionals, and healthcare organizations; and to describe the interventions that health care systems use to address these needs, including exploring the potential unintended consequences of interventions.MethodsWe conducted a modified Delphi panel informed by an environmental scan. Expert stakeholders included patients, interdisciplinary healthcare practitioners (physicians, social workers, peer navigators), implementation scientists, and policy makers. The environmental scan used a rapid literature review and semi-structured interviews with key informants who provide healthcare for high-need patients. We convened a day-long virtual panel meeting, preceded and followed by online surveys to establish consensus.ResultsThe environmental scan identified 46 systematic reviews on high-need patients, 19 empirical studies documenting needs, 14 intervention taxonomies, and 9 studies providing construct validity for the concept “high need.” Panelists explored the construct and terminology and established that individual patients’ needs are unique, but areas of commonality exist across all high-need patients. Panelists agreed on 11 domains describing patient (e.g., social circumstances), 5 care professional (e.g., communication), and 8 organizational (e.g., staffing arrangements) needs. Panelists developed a taxonomy of interventions with 15 categories (e.g., care navigation, care coordination, identification and monitoring) directed at patients, care professionals, or the organization. The project identified potentially unintended consequences of interventions for high-need patients, including high costs incurred for patients, increased time and effort for care professionals, and identification of needs without resources to respond appropriately.ConclusionsCare for high-need patients requires a thoughtful approach; differentiating need domains provides multiple entry points for interventions directed at patients, care professionals, and organizations. Implementation efforts should consider outlined intended and unintended downstream effects on patients, care professionals, and organizations.

Differences in Health Care Utilization of High-Need and High-Cost Patients of Federally Funded Health Centers Versus Other Primary Care Providers.

Primary care providers (PCP) differ in their ability to address the needs and reduce use of costly services among complex Medicaid beneficiaries. Among PCPs, Health Resources and Services Administration (HRSA)-funded health centers (HCs) are shown to provide high-value care. We compared health care utilization of complex Medicaid managed care beneficiaries whose PCPs were HCs versus 3 other groups. Cross-sectional study using propensity score matching comparing health care use by provider type, controlling for demographics, health status, and other covariates. California Medicaid administrative data for complex adult managed care beneficiaries with at least 1 primary care visit in 2018. Primary and specialty care evaluation & management visits and services; emergency department (ED) visits; and hospitalizations. PCPs included HCs, clinics not funded by HRSA, solo, and group practice providers. HRSA-funded HCs had lower predicted rates of specialty evaluation & management and other services than all others; lower predicted probability of any ED visits than clinics not funded by HRSA [54% (95% CI: 53%-55%) vs. 56% (95% CI: 55%-57%)] and group practice providers [51% (95% CI: 51%-52%) vs. 52% (95% CI: 52%-53%)]; and lower PP of any hospitalizations than solo [20% (95% CI: 19%-20%) vs. 23% (95% CI: 22%-24%)] and group practice providers [21% (95% CI: 20%-21%) vs. 24% (95% CI: 23%-24%)]. Differences in HC care delivery and practices were associated with lower use of specialty, ED, and hospitalization visits compared with other PCPs for complex Medicaid managed care beneficiaries. Understanding the underlying reasons for these utilization differences may promote better outcomes among these 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.

Screening for the high-need population using single institution versus state-wide admissions discharge transfer feed

BackgroundAccess to programs for high-needs patients depending on single-institution electronic health record data (EHR) carries risks of biased sampling. We investigate a statewide admission, discharge, and transfer feed (ADT) in assessing equity in access to these programs.MethodsThis is a retrospective cross-sectional study. We included high-need patients at Vanderbilt University Medical Center (VUMC) 18 years or older, with at least three emergency visits (ED) or hospitalizations in Tennessee from January 1 to June 30, 2021, including at least one at VUMC. We used the Tennessee ADT database to identify high-need patients with at least one VUMC ED/hospitalization. Then, we compared this population with high-need patients identified using VUMC’s Epic® EHR database. The primary outcome was the sensitivity of VUMC-only criteria for identifying high-need patients compared to the statewide ADT reference standard.ResultsWe identified 2549 patients with at least one ED/hospitalization and assessed them as high-need based on the statewide ADT. Of those, 2100 had VUMC-only visits, and 449 had VUMC and non-VUMC visits. VUMC-only visit screening criteria showed high sensitivity (99.1%, 95% CI: 98.7 − 99.5%), showing that the high-needs patients admitted to VUMC infrequently access alternative systems. Results showed no meaningful difference in sensitivity when stratified by patient’s race or insurance.ConclusionsADT allows examination for potential selection bias when relying upon single-institution utilization. In VUMC’s high-need patients, there’s minimal selection bias when depending on same-site utilization. Further research must understand how biases vary by site and durability over time.

A review of implementation intentions as a tool to benefit high-need patients and healthcare systems: U.S. veterans affairs as an exemplar

Implementation intentions (if-then plans) are an evidence-based behavior change strategy designed to translate behavioral intentions into habits [1]. Despite extensive evidence of its potential utility, this behavior change strategy is underutilized and under-researched in high-need healthcare contexts within the United States (U.S.) which face high rates of chronic conditions and barriers to care such as rurality, lack of resources, and cognitive strain from mental health and neurological conditions [2,3]. Implementation intentions have demonstrated efficacy in promoting many health behaviors proven to mitigate chronic conditions, namely physical activity, healthy diet, and substance use reduction [4–6]. In addition, the accessible, adaptable, and self-driven nature of implementation intentions allow the technique to meet many of the individual and system-level priorities of these high-need care contexts. By being patient-driven, proactive, and personalized, implementation intentions can help these patients cultivate healthy habits as part of their everyday lives. At the systems-level, implementation intentions’ inexpensiveness, scalability, and compatibility with telemedicine platforms allow them to be integrated easily into existing healthcare system infrastructure [7,8]. This review describes these concepts in detail, and uses the Veterans Affairs (VA) healthcare system as an exemplar to provide concrete examples of how and where implementation intentions could be integrated in a healthcare system, within some existing programs, to benefit both the system and individual patients.

The link between physician motivation and care

Studies report an unexplained variation in physicians’ care. This variation may to some extent be explained by differences in their work motivation. However, empirical evidence on the link between physician motivation and care is scarce. We estimate the associations between different types of work motivation and care. Motivation is measured using validated questions from a nation-wide survey of Danish general practices and linked to high-quality register data on their care in 2019. Using a series of regression models, we find that more financially motivated practices generate more fee-for-services per patient, whereas practices characterised by greater altruistic motivation towards the patient serve a larger share of high-need patients and issue more prescriptions for antibiotics per patient. Practices with higher altruism towards society generate lower medication costs per patient and prescribe a higher rate of narrow-spectrum penicillin, thereby reducing the risk of antimicrobial resistance in the population. Together, our results suggest that practices’ motivation is associated with several dimensions of healthcare, and that both their financial motivation and altruism towards patients and society play a role. Policymakers should, therefore, consider targeting all provider motivations when introducing organisational changes and incentive schemes; for example, by paying physicians to adhere to clinical guidelines, while at the same time clearly communicating the guidelines’ value from both a patient and societal perspective.

Impacts of COVID-19 on Appropriate Use of Screening Colonoscopy in a Large Integrated Healthcare Delivery System.

Decreasing low-value colonoscopy is critical to optimizing access for high-need patients, particularly in resource-constrained environments such as those created by the COVID-19 pandemic. We hypothesized that rates of screening colonoscopy overuse would decline during COVID compared to pre-COVID due to enhanced procedural scrutiny and prioritization in the setting of constrained access. To characterize impacts of COVID-19 on screening colonoscopy overuse DESIGN: Retrospective national cohort study using Veterans Health Administration administrative data PARTICIPANTS: Veterans undergoing screening colonoscopy in Q4 2019 (pre-COVID) and Q4 2020 (COVID) at 109 endoscopy facilities MAIN MEASURES: Rates of screening colonoscopy overuse KEY RESULTS: 18,376 screening colonoscopies were performed pre-COVID, 19% (3,641) of which met overuse criteria. While only 9,360 screening colonoscopies were performed in Q4 2020, 25% met overuse criteria. Overall change in median facility-level overuse during COVID compared to pre-COVID was 6% (95%CI 5%-7%), with significant variability across facilities (IQR: 2%-11%). Of colonoscopies meeting overuse criteria, the top reason for overuse in both periods was screening colonoscopy performed <9 years after previous screening procedure (55% pre-COVID, 49% during COVID). The largest shifts in overuse category were in screening procedures performed <9 years after prior screening colonoscopy (-6% decline COVID vs. pre-COVID) and screening procedures performed in patients below average-risk screening age (i.e., age <40 (5% increase COVID compared to pre-COVID), age 40-44 (4% increase COVID vs. pre-COVID)). Within facility performance was stable over time; 83/109 facilities changed their performance by <=1 quartile during COVID compared to pre-COVID. Despite pandemic-related resource constraints and enhanced procedural scrutiny and prioritization in the setting of COVID-related backlogs, screening colonoscopy overuse rates remained roughly stable during COVID compared to pre-COVID, with continued variability across facilities. These data highlight the need for systematic and concerted efforts to address overuse, even in the face of strong external motivating factors.

Identifying High-Need Primary Care Patients Using Nursing Knowledge and Machine Learning Methods.

Patient cohorts generated by machine learning can be enhanced with clinical knowledge to increase translational value and provide a practical approach to patient segmentation based on a mix of medical, behavioral, and social factors. This study aimed to generate a pragmatic example of how machine learning could be used to quickly and meaningfully cohort patients using unsupervised classification methods. Additionally, to demonstrate increased translational value of machine learning models through the integration of nursing knowledge. A primary care practice dataset (N = 3,438) of high-need patients defined by practice criteria was parsed to a subset population of patients with diabetes (n = 1233). Three expert nurses selected variables for k-means cluster analysis using knowledge of critical factors for care coordination. Nursing knowledge was again applied to describe the psychosocial phenotypes in four prominent clusters, aligned with social and medical care plans. Four distinct clusters interpreted and mapped to psychosocial need profiles, allowing for immediate translation to clinical practice through the creation of actionable social and medical care plans. (1) A large cluster of racially diverse female, non-English speakers with low medical complexity, and history of childhood illness; (2) a large cluster of English speakers with significant comorbidities (obesity and respiratory disease); (3) a small cluster of males with substance use disorder and significant comorbidities (mental health, liver and cardiovascular disease) who frequently visit the hospital; and (4) a moderate cluster of older, racially diverse patients with renal failure. This manuscript provides a practical method for analysis of primary care practice data using machine learning in tandem with expert clinical knowledge.

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.

The Greater Manchester Child Friendly Dental Practice Scheme: Using a Transformational Commissioning Approach to Align Paediatric Dental Service Provision with Childhood Oral Health Needs in Greater Manchester.

In response to the impact of the COVID-19 pandemic on access to already oversubscribed specialist paediatric dental services, a pilot of an enhanced primary care paediatric dental pathway, known as the Child Friendly Dental Practice (CFDP) scheme, was commissioned by the Greater Manchester Health and Social Care Partnership. Supported by a transformational commissioning approach, the ambition of the CFDP pilot was to manage or stabilise the oral health of high-need paediatric patients who had been referred to specialist dental services within Community or Hospital Dental Service settings, through timely access to primary care clinicians who were confident and experienced in treating children. The theory of change of the CFDP pilot proposed that rapid access to enhanced primary dental care would reduce the need for onward referral to specialist paediatric dental services, whilst also stabilising the oral health of children who require more complex management in specialist services. A formative evaluation of the phase one pilot implementation of the CFDP Scheme has demonstrated the potential of the CFDP Scheme to improve access to dental services for paediatric patients referred from their General Dental Practitioner. Comparison of waiting times between the CFDP pathway and the standard paediatric dental referral pathway have revealed substantially reduced waiting times to access care along the CFDP pathway, while less than 30% of those who attended CFDPs required onward referral to specialist paediatric dental services. Encouragingly, similar attendance and treatment completion rates were noted among patients from all levels of socio-economic deprivation, reducing concerns regarding the potential for service-based interventions to increase oral health inequalities. Following successful completion of the phase one pilot implementation and evaluation, the CFDP Scheme has now been rolled out across all localities in Greater Manchester as part of a second phase pilot implementation. Public Health Competencies; Equitable healthcare provision, Partnership working, Evidence-based public health, Systems thinking, Transformational commissioning, Healthcare evaluation.

Quickly identifying people at risk of opioid use disorder in emergency departments: trade-offs between a machine learning approach and a simple EHR flag strategy

ObjectivesEmergency departments (EDs) are an important point of contact for people with opioid use disorder (OUD). Universal screening for OUD is costly and often infeasible. Evidence on effective, selective screening...