Social Risk, Social Need, and Use of the Emergency Department.

This cohort study examines the association of social risk and social need with emergency department use by patients within a Medicaid accountable care organization who were screened for adverse social determinants of health in primary care.

Cost, Utilization, and Patient and Family Experience With ACO-Based Pediatric Care Management.

BACKGROUND AND OBJECTIVES: Children and Youth with Special Health Care Needs have high healthcare utilization, fragmented care, and unmet health needs. Accountable Care Organizations (ACOs) increasingly use pediatric care management to improve quality and reduce unnecessary utilization. We evaluated effects of pediatric care management on total medical expense (TME) and utilization; perceived quality of care coordination, unmet needs, and patient and family experience; and differential impact by payor, risk score, care manager discipline, and behavioral health diagnosis. METHODS: Mixed-methods analysis including claims using quasi-stepped-wedge design pre and postenrollment to estimate difference-in-differences, participant survey, and semistructured interviews. Participants included 1321 patients with medical, behavioral, or social needs, high utilization, in Medicaid or commercial ACOs, and enrolled in multidisciplinary, primary care-embedded care management. RESULTS: TME significantly declined 1 to 6 months postenrollment and continued through 19 to 24 months (-$645.48 per member per month, P < .001). Emergency department and inpatient utilization significantly decreased 7 to 12 months post-enrollment and persisted through 19 to 24 months (-29% emergency department, P = .012; -82% inpatient, P < .001). Of respondents, 87.2% of survey respondents were somewhat or very satisfied with care coordination, 56.1% received education coordination when needed, and 81.5% had no unmet health needs. Emergency department or inpatient utilization decreases were consistent across payors and care manager disciplines, occurred sooner with behavioral health diagnoses, and were significant among children with above-median risk scores. Satisfaction and experience were equivalent across groups, with more unmet needs and frustration with above-median risk scores. CONCLUSIONS: Pediatric care management in multipayor ACOs may effectively reduce TME and utilization and clinically provide high-quality care coordination, including education and family stress, with high participant satisfaction.

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.

Assessment of the Massachusetts Flexible Services Program to Address Food and Housing Insecurity in a Medicaid Accountable Care Organization.

Importance: Health systems are increasingly addressing health-related social needs. The Massachusetts Flexible Services program (Flex) is a 3-year pilot program to address food insecurity and housing insecurity by connecting Medicaid accountable care organization (ACO) enrollees to community resources. Objective: To understand barriers and facilitators of Flex implementation in 1 Medicaid ACO during the first 17 months of the program. Design, Setting, and Participants: This mixed-methods qualitative evaluation study from March 2020 to July 2021 used the Reach, Efficacy, Adoption, Implementation, Maintenance/Practical, Robust Implementation, and Sustainability Model (RE-AIM/PRISM) framework. Two Mass General Brigham (MGB) hospitals and affiliated community health centers were included in the analysis. Quantitative data included all MGB Medicaid ACO enrollees. Qualitative interviews were conducted with 15 members of ACO staff and 17 Flex enrollees. Main Outcomes and Measures: Reach was assessed by the proportion of ACO enrollees who completed annual social needs screening (eg, food insecurity and housing insecurity) and the proportion and demographics of Flex enrollees. Qualitative interviews examined other RE-AIM/PRISM constructs (eg, implementation challenges, facilitators, and perceived effectiveness). Results: Of 67 098 Medicaid ACO enrollees from March 2020 to July 2021 (mean [SD] age, 28.8 [18.7] years), 38 442 (57.3%) completed at least 1 social needs screening; 10 730 (16.0%) screened positive for food insecurity, and 7401 (11.0%) screened positive for housing insecurity. There were 658 (1.6%) adults (mean [SD] age, 46.6 [11.8] years) and 173 (0.7%) children (<21 years; mean [SD] age, 10.1 [5.5]) enrolled in Flex; of these 831 people, 613 (73.8%) were female, 444 (53.4%) were Hispanic/Latinx, and 172 (20.7%) were Black. Most Flex enrollees (584 [88.8%] adults; 143 [82.7%] children) received the intended nutrition or housing services. Implementation challenges identified by staff interviewed included administrative burden, coordination with community organizations, data-sharing and information-sharing, and COVID-19 factors (eg, reduced clinical visits). Implementation facilitators included administrative funding for enrollment staff, bidirectional communication with community partners, adaptive strategies to identify eligible patients, and raising clinician awareness of Flex. In Flex enrollee interviews, those receiving nutrition services reported increased healthy eating and food security; they also reported higher program satisfaction than Flex enrollees receiving housing services. Enrollees who received nutrition services that allowed for selecting food based on preferences reported higher satisfaction than those not able to select food. Conclusions and Relevance: This mixed-methods qualitative evaluation study found that to improve implementation, Medicaid and health system programs that address social needs may benefit from providing funding for administrative costs, developing bidirectional data-sharing platforms, and tailoring support to patient preferences.

Tacking upwind: reducing spending among high-risk commercially insured patients.

OBJECTIVES: The study examined a commercial accountable care organization (ACO) population and then assessed the impact of an integrated care management program on medical spending and clinical event rates. STUDY DESIGN: Retrospective cohort study of high-risk individuals (n = 487) in a population of 365,413 individuals aged 18 to 64 years within the Mass General Brigham health system who were part of commercial ACO contracts with 3 large insurers between 2015 and 2019. METHODS: Using medical spending claims and other enrollment data, the study assessed the demographic and clinical characteristics, medical spending, and clinical event rates of patients in the ACO and its high-risk care management program. The study then examined the impact of the program using a staggered difference-in-difference design with individual-level fixed effects and compared outcomes of those who had entered the program with those of similar patients who had not entered. RESULTS: The commercially insured ACO population was healthy on average but included several hundred high-risk patients (n = 487). After adjustment, patients within the ACO's integrated care management program for high-risk patients had lower monthly medical spending (by $1361 per person per month) as well as lower emergency department visit and hospitalization rates compared with similar patients who had yet to start the program. Accounting for early ACO departure decreased the magnitude of the program effects as expected. CONCLUSIONS: Commercial ACO populations may be healthy on average but still include some high-risk patients. Identifying which patients might benefit from more intensive care management could be critical for reaping the potential savings.

Population turnover and leakage in commercial ACOs.

OBJECTIVES: Commercial accountable care organization (ACO) contracts attempt to mitigate spending growth, but past evaluations have been limited to continuously enrolled ACO members in health maintenance organization (HMO) plans, excluding many members. The objective of this study was to examine the magnitude of turnover and leakage within a commercial ACO. STUDY DESIGN: A historical cohort study using detailed information from multiple commercial ACO contracts within a large health care system between 2015 and 2019. METHODS: Individuals insured through 1 of the 3 largest commercial ACO contracts during the study period, 2015-2019, were included. We examined patterns of entry and exit and the characteristics that predicted remaining in the ACO compared with leaving the ACO. We also examined predictors of the amount of care delivered in the ACO compared with outside the ACO. RESULTS: Among the 453,573 commercially insured individuals in the ACO, approximately half left the ACO within the initial 24 months after entry. Approximately one-third of spending was for care occurring outside the ACO. Patients who remained in the ACO differed from those who left earlier, including being older, having a non-HMO plan, having lower predicted spending at entry, and having more medical spending for care performed within the ACO during the initial quarter of membership. CONCLUSIONS: Both turnover and leakage hamper the ability of ACOs to manage spending. Modifications that address potentially intrinsic vs avoidable sources of population turnover and increase patient incentives for care within vs outside of ACOs could help address medical spending growth within commercial ACO programs.

Does use of primary care-based behavioral health programs differ by race and ethnicity? Evidence from a multi-site collaborative care model.

BACKGROUND: Collaborative care models (CoCM) that integrate mental health and primary care improve outcomes and could help address racial and ethnic mental health disparities. We examined whether use of these programs differs by race/ethnicity. METHODS: This retrospective study examined two CoCM interventions implemented across primary care clinics in a large health system in Massachusetts: 1) a primary care-based behavioral health program for depression or anxiety (IMPACT model) and 2) referral to community-based specialty care services (Resource-finding). Outcomes included enrollment, non-completion, and symptom screening rates, and discharge status for Black, Hispanic and White patients referred for CoCM, 2017-2019. RESULTS: Black and Hispanic vs. White patients referred to CoCM (n = 17,280) were more likely to live in high poverty ZIP codes (34% and 40% vs. 9%). Rates of program enrollment, non-completion, and symptom screening were similar across groups (e.g., 76%, 77%, and 75% of Black, Hispanic, and White patients enrolled). Hispanic vs. White patients were more likely to be enrolled in IMPACT (56%) vs. Resource-finding (43%). Among those completing IMPACT, Hispanic vs. White patients were more likely to be stepped to psychiatry vs. discharged to their primary care provider (51% vs. 20%, aOR = 1.55, 95% CI: 1.02-2.35). CONCLUSIONS: Black and Hispanic patients referred to CoCM were similarly likely to use the program as White patients. Hispanic patients completing IMPACT were more frequently referred to psychiatry. IMPLICATIONS: These results highlight the promise of CoCMs for engaging minority populations in mental healthcare. Hispanic patients may benefit from additional intervention or earlier linkage to specialty care.

When the Process Is the Problem: Racial/Ethnic and Language Disparities in Care Management.

OBJECTIVES: Achieving health equity requires addressing disparities at every level of care delivery. Yet, little literature exists examining racial/ethnic disparities in processes of high-risk care management, a foundational tool for population health. This study sought to determine whether race, ethnicity, and language are associated with patient entry into and service intensity within a large care management program. DESIGN: Retrospective cohort study. METHODS: Subjects were 23,836 adult patients eligible for the program between 2015 and 2018. Adjusting for demographics, utilization, and medical risk, we analyzed the association between race/ethnicity and language and outcomes of patient selection, enrollment, care plan completion, and care management encounters. RESULTS: Among all identified as eligible by an algorithm, Asian and Spanish-speaking patients had significantly lower odds of being selected by physicians for care management [OR 0.74 (0.58-0.93), OR 0.79 (0.64-0.97)] compared with White and English-speaking patients, respectively. Once selected, Hispanic/Latino and Asian patients had significantly lower odds compared to White counterparts of having care plans completed by care managers [OR 0.69 (0.50-0.97), 0.50 (0.32-0.79), respectively]. Patients speaking languages other than English or Spanish had a lower odds of care plan completion and had fewer staff encounters than English-speaking counterparts [OR 0.62 (0.44-0.87), RR 0.87 (0.75-1.00), respectively]. CONCLUSIONS: Race/ethnicity and language-based disparities exist at every process level within a large health system's care management program, from selection to outreach. These results underscore the importance of assessing for disparities not just in outcomes but also in program processes, to prevent population health innovations from inadvertently creating new inequities.

Prevalence of social risk factors and social needs in a Medicaid Accountable Care Organization (ACO).

BACKGROUND: Health-related social needs (HRSN) are associated with higher chronic disease prevalence and healthcare utilization. Health systems increasingly screen for HRSN during routine care. In this study, we compare the differential prevalence of social risk factors and social needs in a Medicaid Accountable Care Organization (ACO) and identify the patient and practice characteristics associated with reporting social needs in a different domain from social risks. METHODS: Cross-sectional study of patient responses to HRSN screening February 2019-February 2020. HRSN screening occurred as part of routine primary care and assessed social risk factors in eight domains and social needs by requesting resources in these domains. Participants included adult and pediatric patients from 114 primary care practices. We measured patient-reported social risk factors and social needs from the HRSN screening, and performed multivariable regression to evaluate patient and practice characteristics associated with reporting social needs and concordance to social risks. Covariates included patient age, sex, race, ethnicity, language, and practice proportion of patients with Medicaid and/or Limited English Proficiency (LEP). RESULTS: Twenty-seven thousand four hundred thirteen individuals completed 30,703 screenings, including 15,205 (55.5%) caregivers of pediatric patients. Among completed screenings, 13,692 (44.6%) were positive for ≥ 1 social risk factor and 2,944 (9.6%) for ≥ 3 risks; 5,861 (19.1%) were positive for social needs and 4,848 (35.4%) for both. Notably, 1,013 (6.0%) were negative for social risks but positive for social needs. Patients who did not identify as non-Hispanic White or were in higher proportion LEP or Medicaid practices were more likely to report social needs, with or without social risks. Patients who were non-Hispanic Black, Hispanic, preferred non-English languages or were in higher LEP or Medicaid practices were more likely to report social needs without accompanying social risks. CONCLUSIONS: Half of Medicaid ACO patients screened for HRSN reported social risk factors or social needs, with incomplete overlap between groups. Screening for both social risks and social needs can identify more individuals with HRSN and increase opportunities to mitigate negative health outcomes.

Intensive care management of a complex Medicaid population: a randomized evaluation.

OBJECTIVES: Care management programs are employed by providers and payers to support high-risk patients and affect cost and utilization, with varied implementation. This study sought to evaluate the impact of an intensive care management program on utilization and cost among those with highest cost (top 5%) and highest utilization in a Medicaid accountable care organization (ACO) population. STUDY DESIGN: Randomized controlled quality improvement trial of intensive care management, provided by a nonprofit care management vendor, for Medicaid ACO patients at 2 academic centers. METHODS: Patients were identified using claims, chart review, and primary care validation, then randomly assigned 2:1 to intervention and control groups. Among 131 patients included in intent-to-treat analysis, 87 and 44 were randomly assigned to the intervention and control groups, respectively. Patients in the intervention group were eligible to receive intensive care management in the community/home setting and, in some cases, home-based primary care. Patients in the control group received standard of care, including practice-based care management. Prespecified primary outcome measures included total medical expense (TME), emergency department (ED) visits, and inpatient utilization. RESULTS: Relative to controls, patients randomly assigned to receive intensive care management had a $1933 smaller increase per member per month in TME (P = .04) and directionally consistent but nonsignificant reductions in ED visits (17% fewer; P = .40) and inpatient admissions (34% fewer; P = .29) in the 12 months post randomization compared with the 12 months prerandomization. CONCLUSIONS: Our study results support that targeted, intensive care management can favorably affect TME in a health system-based high-cost, high-risk Medicaid population. Further research is needed to evaluate the impact on additional clinical outcomes.

Improving care coordination and reducing ED utilization through patient navigation.

OBJECTIVES: Our study examines the impact of an emergency department (ED) patient navigation program for patients in a Medicaid accountable care organization across 3 hospitals in a large health system. Our program engages community health workers to (1) promote primary care engagement, (2) facilitate care coordination, and (3) identify and address patients' health-related social needs. STUDY DESIGN: Our study was a retrospective analysis of health care utilization and costs in the 30 days following the index ED visit, comparing individuals receiving ED navigation and matched controls. The primary outcome of interest was all-cause return ED visits, and our secondary outcomes were hospital admissions and completed primary care appointments. METHODS: Patients with ED visits who received navigation were matched to comparable patients with ED visits without an ED navigator interaction. Outcomes were analyzed using fixed effects logistic regression models adjusted for patient demographics, ED visit characteristics, and preceding utilization. Our primary outcome was odds of a return ED visit within 30 days, and our secondary outcomes were odds of a hospitalization within 30 days and odds of having primary care visit within 30 days. RESULTS: In our sample, there were 1117 ED visits by patients meeting our inclusion criteria with an ED navigator interaction, with 3351 matched controls. ED navigation was associated with 52% greater odds of a completed follow-up primary care appointment (odds ratio [OR], 1.52; 95% CI, 1.29-1.77). In patients with no ED visits in the preceding 6 months, ED navigation was associated with 32% decreased odds of repeat ED visits in the subsequent 30 days (OR, 0.68; 95% CI, 0.52-0.90). There was no statistically significant impact on return ED visits in those with higher baseline ED utilization. CONCLUSIONS: Our program demonstrates that high-intensity, short-term patient navigation in the ED can help reduce ED visits in those with low baseline ED utilization and facilitate stronger connections with primary care.

Use of an Integrated Care Management Program to Uncover and Address Social Determinants of Health for Individuals With Lupus.

OBJECTIVE: We studied patients with systemic lupus erythematosus (SLE) enrolled in a nurse-led, multihospital, primary care-based integrated care management program (iCMP) for complex patients with chronic conditions to understand whether social determinants of health (SDoH), including food insecurity, housing instability, and financial constraints, were prevalent in this population. METHODS: The academic hospital-based iCMP enrolls the top 2% of medically and psychosocially complex patients identified on the basis of clinical complexity health care use, and primary care provider referral. A nurse conducts needs assessments and coordinates care. We reviewed the electronic medical records of enrolled patients with SLE to identify SDoH needs and corresponding actions taken 1 year prior to iCMP enrollment using physicians' and social workers' notes, and during enrollment using iCMP team members' notes. RESULTS: Among 69 patients with SLE in the iCMP, in the year prior to enrollment, 57% had documentation of one or more SDoH challenges, compared with 94% during enrollment. iCMP nurses discussed and addressed one or more SDoH issues for 81% of the patients; transportation challenges, medication access, mental health care access, and financial insecurity were the most prevalent. Nurses connected 75% of these patients with related resources and support. CONCLUSION: Although SDoH-related issues were not used to identify patients for the iCMP, the vast majority of enrolled medically and psychosocially complex patients with SLE had these needs. The iCMP team uncovered and addressed SDoH-related concerns not documented prior to iCMP participation. Expansion of care management programs like the iCMP would help identify, document, and address these barriers that contribute to disparities in chronic disease care and outcomes.

A systematic intervention to improve serious illness communication in primary care: Effect on expenses at the end of life.

BACKGROUND: At a population level, conversations between clinicians and seriously ill patients exploring patients' goals and values can drive high-value healthcare, improving patient outcomes and reducing spending. METHODS: We examined the impact of a quality improvement intervention to drive better communication on total medical expenses in a high-risk care management program. We present our analysis of secondary expense outcomes from a prospective implementation trial of the Serious Illness Care Program, which includes clinician training, coaching, tools, and system interventions. We included patients who died between January 2014 and September 2016 who were selected for serious illness conversations, using the "Surprise Question," as part of implementation of the program in fourteen primary care clinics. RESULTS: We evaluated 124 patients and observed no differences in total medical expenses between intervention and comparison clinic patients. When comparing patients in intervention clinics who did and did not have conversations, we observed lower average monthly expenses over the last 6 ($6297 vs. $8,876, p = 0.0363) and 3 months ($7263 vs. $11,406, p = 0.0237) of life for patients who had conversations. CONCLUSIONS: Possible savings observed in this study are similar in magnitude to previous studies in advance care planning and specialty palliative care but occur earlier in the disease course and in the context of documented conversations and a comprehensive, interprofessional case management program. IMPLICATIONS: Programs designed to drive more, earlier, and better serious illness communication hold the potential to reduce costs. LEVEL OF EVIDENCE: Prospectively designed trial, non-randomized sample, analysis of secondary outcomes.

Dissecting racial bias in an algorithm used to manage the health of populations.

Health systems rely on commercial prediction algorithms to identify and help patients with complex health needs. We show that a widely used algorithm, typical of this industry-wide approach and affecting millions of patients, exhibits significant racial bias: At a given risk score, Black patients are considerably sicker than White patients, as evidenced by signs of uncontrolled illnesses. Remedying this disparity would increase the percentage of Black patients receiving additional help from 17.7 to 46.5%. The bias arises because the algorithm predicts health care costs rather than illness, but unequal access to care means that we spend less money caring for Black patients than for White patients. Thus, despite health care cost appearing to be an effective proxy for health by some measures of predictive accuracy, large racial biases arise. We suggest that the choice of convenient, seemingly effective proxies for ground truth can be an important source of algorithmic bias in many contexts.

The importance of health insurance claims data in creating learning health systems: evaluating care for high-need high-cost patients using the National Patient-Centered Clinical Research Network (PCORNet).

OBJECTIVE: Case management programs for high-need high-cost patients are spreading rapidly among health systems. PCORNet has substantial potential to support learning health systems in rapidly evaluating these programs, but access to complete patient data on health care utilization is limited as PCORNet is based on electronic health records not health insurance claims data. Because matching cases to comparison patients on baseline utilization is often a critical component of high-quality observational comparative effectiveness research for high-need high-cost patients, limited access to claims may negatively affect the quality of the matching process. We sought to determine whether the evaluation of programs for high-need high-cost patients required claims data to match cases to comparison patients. MATERIALS AND METHODS: A retrospective cohort study design with multiple measures of before-and-after health care utilization for 1935 case management patients and 3833 matched comparison patients aged 18 years and older from 2011 to 2015. EHR and claims data were extracted from 3 health systems participating in PCORNet. RESULTS: Without matching on claims-based health care utilization, the case management programs at 2 of 3 health systems were associated with fewer hospital admissions and emergency visits over the subsequent 12 months. With matching on claims-based health care utilization, case management was no longer associated with admissions and emergency visits at those 2 programs. DISCUSSION: The results of a PCORNet-facilitated evaluation of 3 programs for high-need high-cost patients differed substantially depending on whether claims data were available for matching cases to comparison patients. CONCLUSIONS: Partnering with learning health systems to rapidly evaluate programs for high-need high-cost patients will require that PCORNet facilitates comprehensive and timely access to both electronic health records and health insurance claims data.

Epilepsy Among Elderly Medicare Beneficiaries: A Validated Approach to Identify Prevalent and Incident Epilepsy.

BACKGROUND: Uncertain validity of epilepsy diagnoses within health insurance claims and other large datasets have hindered efforts to study and monitor care at the population level. OBJECTIVES: To develop and validate prediction models using longitudinal Medicare administrative data to identify patients with actual epilepsy among those with the diagnosis. RESEARCH DESIGN, SUBJECTS, MEASURES: We used linked electronic health records and Medicare administrative data including claims to predict epilepsy status. A neurologist reviewed electronic health record data to assess epilepsy status in a stratified random sample of Medicare beneficiaries aged 65+ years between January 2012 and December 2014. We then reconstructed the full sample using inverse probability sampling weights. We developed prediction models using longitudinal Medicare data, then in a separate sample evaluated the predictive performance of each model, for example, area under the receiver operating characteristic curve (AUROC), sensitivity, and specificity. RESULTS: Of 20,945 patients in the reconstructed sample, 2.1% had confirmed epilepsy. The best-performing prediction model to identify prevalent epilepsy required epilepsy diagnoses with multiple claims at least 60 days apart, and epilepsy-specific drug claims: AUROC=0.93 [95% confidence interval (CI), 0.90-0.96], and with an 80% diagnostic threshold, sensitivity=87.8% (95% CI, 80.4%-93.2%), specificity=98.4% (95% CI, 98.2%-98.5%). A similar model also performed well in predicting incident epilepsy (k=0.79; 95% CI, 0.66-0.92). CONCLUSIONS: Prediction models using longitudinal Medicare data perform well in predicting incident and prevalent epilepsy status accurately.

Medicare claims can identify post-stroke epilepsy.

OBJECTIVE: There have been no validated Medicare claims-based algorithms available to identify epilepsy by discrete etiology of stroke (e.g., post-stroke epilepsy, PSE) in community-dwelling elderly individuals, despite the increasing availability of large datasets. Our objective was to validate algorithms that detect which patients have true PSE. METHODS: We linked electronic health records (EHR) to Medicare claims from a Medicare Pioneer Accountable Care Organization (ACO) to identify PSE. A neurologist reviewed 01/2012-12/2014 EHR data from a stratified sample of Medicare patients aged 65+ years to adjudicate a reference-standard to develop an algorithm for identifying patients with PSE. Patient sampling strata included those with: A) epilepsy-related claims diagnosis (n = 534 [all]); B) no diagnosis but neurologist visit (n = 500 [randomly sampled from 4346]); C) all others (n = 500 [randomly sampled from 16,065]). We reconstructed the full sample using inverse probability sampling weights; then used half to derive algorithms and assess performance, and the remainder to confirm performance. We evaluated predictive performance across several measures, e.g., specificity, sensitivity, negative and positive predictive values (NPV, PPV). We selected our best performing algorithms based on the greatest specificity and sensitivity. RESULTS: Of 20,943 patients in the reconstructed sample, 13.6% of patients with epilepsy had reference-standard PSE diagnosis, which represents a 3-year overall prevalence of 0.28% or 28/10,000, and a prevalence within the subpopulation with stroke of 3%. The best algorithm included three conditions: (a) at least one cerebrovascular claim AND one epilepsy-specific anticonvulsant OR (b) at least one cerebrovascular claim AND one electroencephalography claim (specificity 100.0% [95% CI 99.9%-100.0%], NPV 98.8% [98.6%-99.0%], sensitivity 20.6% [95% CI 14.6%-27.9%], PPV 86.5% [95% CI 71.2%-95.5%]). CONCLUSION: Medicare claims can identify elderly Medicare beneficiaries with PSE with high accuracy. Future epidemiological surveillance of epilepsy could incorporate similar algorithms to accurately identify epilepsy by varying etiologies.

What Do High-Risk Patients Value? Perspectives on a Care Management Program.

BACKGROUND: There is growing interest in coordinating care for high-risk patients through care management programs despite inconsistent results on cost reduction. Early evidence suggests patient-centered benefits, but we know little about how participants engage with the programs and what aspects they value. OBJECTIVE: To explore care management program participants' awareness and perceived utility of program offerings. DESIGN: Cross-sectional telephone survey administered December 2015-January 2016. PARTICIPANTS: Patients enrolled in a Boston-area primary care-based care management program. MAIN MEASURES: Our main outcome was the number of topics in which patients reported having "very helpful" interactions with their care team in the past year. We analyzed awareness of one's care manager as an intermediate outcome, and then as a primary predictor of the main outcome, along with patient demographics, years in the program, attitudes, and worries as secondary predictors. KEY RESULTS: The survey response rate was 45.8% (n = 1220); non-respondents were similar to respondents. More respondents reported worrying about family (72.8%) or financial issues (52.5%) than about their own health (41.6%). Seventy-four percent reported care manager awareness, particularly women (OR 1.33, 95% CI 1.01-1.77) and those with more years in the program (OR 1.16, 95% CI 1.03-1.30). While interaction rates ranged from 19.8% to 72.4% across topics, 81.3% rated at least one interaction as very helpful. Those who were aware of their care manager reported very helpful interactions on more topics (OR 2.77, 95% CI 2.15-3.56), as did women (OR 1.25, 95% CI 1.00-1.55), younger respondents (OR 0.98 for older age, 95% CI 0.97-0.99), and those with higher risk scores (OR 1.04, 95% CI 1.02-1.06), preference for deferring treatment decisions to doctors (OR 2.00, 95% CI 1.60-2.50), and reported control over their health (OR 1.67, 95% CI 1.33-2.10). CONCLUSIONS: High-risk patients reported helpful interactions with their care team around medical and social determinants of health, particularly those who knew their care manager. Promoting care manager awareness may help participants make better use of the program.

Bending The Spending Curve By Altering Care Delivery Patterns: The Role Of Care Management Within A Pioneer ACO.

Accountable care organizations (ACOs) appear to lower medical spending, but there is little information on how they do so. We examined the impact of patient participation in a Pioneer ACO and its care management program on rates of emergency department (ED) visits and hospitalizations and on Medicare spending. We used data for the period 2009-14, exploiting naturally staggered program entry to create concurrent controls to help isolate the program effects. The care management program (the ACO's primary intervention) targeted beneficiaries with elevated but modifiable risks for future spending. ACO participation had a modest effect on spending, in line with previous estimates. Participation in the care management program was associated with substantial reductions in rates for hospitalizations and both all and nonemergency ED visits, as well as Medicare spending, when compared to preparticipation levels and to rates and spending for a concurrent sample of beneficiaries who were eligible for but had not yet started the program. Rates of ED visits and hospitalizations were reduced by 6 percent and 8 percent, respectively, and Medicare spending was reduced by 6 percent. Targeting beneficiaries with modifiable high risks and shifting care away from the ED represent viable mechanisms for altering spending within ACOs.