BACKGROUND: Many patients offered case management services to address their health and social needs choose not to engage. Factors that drive engagement remain unclear. We sought to understand patient characteristics associated with engagement in a social needs case management program and variability by case manager.
METHODS: Between August 2017 and February 2021, 43,347 Medicaid beneficiaries with an elevated risk of hospital or emergency department use were offered case management in Contra Costa County, California. Results were analyzed in 2022 using descriptive statistics and multilevel logistic regression models to examine 1) associations between patient engagement and patient characteristics and 2) variation in engagement attributable to case managers. Engagement was defined as responding to case manager outreach and documentation of at least 1 topic to mutually address. A sensitivity analysis was performed by stratifying the pre-COVID-19 and COVID-19 cohorts.
RESULTS: A total of 16,811 (39%) of eligible patients engaged. Adjusted analyses indicate associations between higher patient engagement and female gender, age 40 and over, Black/African American race, Hispanic/Latino ethnicity, history of homelessness, and a medical history of certain chronic conditions and depressive disorder. The intraclass correlation coefficient indicates that 6% of the variation in engagement was explained at the case manager level.
CONCLUSIONS: Medicaid patients with a history of housing instability and specific medical conditions were more likely to enroll in case management services, consistent with prior evidence that patients with greater need are more receptive to assistance. Case managers accounted for a small percentage of variation in patient engagement.

BACKGROUND: Children with medical complexity (CMC) comprise < 1% of the pediatric population, but account for nearly one-third of healthcare expenditures. Further, while CMC account for up to 80% of pediatric inpatient hospital costs, only 2% of Medicaid spending is attributed to home healthcare. As a result, the current health system heavily relies on family caregivers to fill existing care gaps. This study aimed to: (1) examine factors associated with hospital admissions among CMC and (2) contextualize the potential for home nursing care to improve outcomes among CMC and their families in South Carolina (SC).
METHODS: This mixed-methods study was conducted among CMC, their family caregivers, and physicians in SC. Electronic health records data from a primary care clinic within a large health system (7/1/2022-6/30/2023) was analyzed. Logistic regression examined factors associated with hospitalizations among CMC. In-depth interviews (N = 15) were conducted among physicians and caregivers of CMC statewide. Patient-level quantitative data is triangulated with conceptual findings from interviews.
RESULTS: Overall, 39.87% of CMC experienced ≥ 1 hospitalization in the past 12 months. CMC with higher hospitalization risk were dependent on respiratory or neurological/neuromuscular medical devices, not non-Hispanic White, and demonstrated higher healthcare utilization. Interview findings contextualized efforts to reduce hospitalizations, and suggested adaptations related to capacity and willingness to provide complex care for CMC and their families.
CONCLUSIONS: Findings may inform multi-level solutions for accessible, high-quality home nursing care among CMC and their families. Providers may learn from caregivers\' insight to emphasize family-centered care practices, acknowledging time and financial constraints while optimizing the quality of medical care provided in the home.

Doula services support maternal and child health, but few Medicaid programs reimburse for them. Through qualitative interviews with key policy informants (n = 20), this study explored facilitators and barriers to Medicaid reimbursement through perceptions of doula-related policies in 2 states: Oregon, where doula care is reimbursed, and Massachusetts, where reimbursement is pending. Five themes characterize the inclusion of doula services in Medicaid. In Theme 1, stakeholders recognized an imperative to expand access to doula services. Subsequent themes represent complications in accomplishing that imperative. In Theme 2, perceptions that doula services were not valued by health care providers resulted in conflict between doulas and the health care system. In Theme 3, complex billing processes created friction and impeded reimbursement. In Theme 4, internal conflict presented barriers to policymaking. In Theme 5, structural fragmentation between state government and doula communities was prominent in Massachusetts, presenting tensions during policymaking. Informants reported on problems demanding resolution to establish equitable and robust doula care policies. Medicaid coverage of doula services requires ongoing collaboration with doulas, providers, and health care advocates.

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OBJECTIVE: To evaluate the veracity of self-reports of month-level health insurance coverage in the Current Population Survey Annual Social and Economic Supplement (CPS).
METHODS: The CHIME (Comparing Health Insurance Measurement Error) study used health insurance enrollment records from a large regional Midwest insurer as sample for primary data collection in spring 2015.
METHODS: A sample of individuals enrolled in a range of public and private coverage types (including Medicaid and marketplace) was administered the CPS health insurance module, which included questions about month-level coverage, by type, over a 17-18-month time span. Survey data was then matched to enrollment records covering that same time frame, and concordance between the records and self-reports was assessed.
METHODS: Sample was drawn by the insurer\'s informatics specialists and Census Bureau interviewers conducted the survey. Following data collection, updated enrollment records were matched to the survey data to produce a person-level file of coverage by type at the month-level.
RESULTS: For 91% of the overall sample, coverage status and type were reported accurately for at least 75% of observed months. Results varied somewhat by stability of coverage. Among those who were continuously covered throughout the 17-18 month observation period (which comprised 64% of the overall sample), that level of reporting accuracy was observed for 94% of the sample; for those who had censored spells (34% of the overall sample), the figure was 87%; and among those with gaps and/or changes according to the records (2% of the overall sample), for 82% of the group at least 75% of months were reported accurately.
CONCLUSIONS: Findings suggest that reporting accuracy of month-level coverage in the CPS is high and that the survey could become a valuable new data source for studying the dynamics of coverage, including the Medicaid unwinding.

OBJECTIVE: This phenomenological study tried to understand the essence of the transitional care experience of medicaid case managers and its structural meaning. In addition, it was attempted to establish a system of transitional care and seek support measures for medicaid case managers.
METHODS: The participants of this study were 7 medicaid case managers who had spent more than 1 year and 6 months in medicaid pilot project. Data were collected with individual in-depth interviews from June to December 2021. The data were analyzed by Giorgi\'s phenomenological analysis method.
RESULTS: The seven constituents derived from the results of this study were \'struggle to establish a living environment\', \'dedication to supporting independent living\', \'anxiety about safety\', \'pressure on care responsibilities\', \'distress in building the pilot project\', \'pride in role\', and \'expectation for improvement\'.
CONCLUSIONS: The study results provide a comprehensive understanding of the transition care reality for medicaid case managers. They also shed light on managers\' perceptions and attitudes. These findings can serve as fundamental information for establishing support measures for medicaid case managers and transitional care systems.

There is a dearth of research assessing the prevalence of eating disorders in publicly insured populations. While evidence shows that eating disorders affect people of all racial, ethnic, and socioeconomic backgrounds, research has neglected to focus on the rate at which they occur among those who have public health insurance. The present study indexes the prevalence of clinically significant disordered eating in a case series of 165 adults in a publicly insured sample at an outpatient general psychiatry clinic in Los Angeles, California. Results illustrate that 46 (27.8%) participants screened positive for clinically significant disordered eating with no significant differences relating to age or gender in those who screened positive versus those who did not (p > .05). This markedly elevated frequency of disordered eating presentations underscores the need for improved clinician training and education around disordered eating and eating disorder assessment as a whole. In addition, there is a critical need to study publicly insured populations so as to mitigate stereotypes about who has eating disorders and improve the likelihood of diagnosis and care.

Medicaid-funded home and community-based services (HCBSs) reach large numbers of individuals living with dementia who would otherwise reside in nursing homes with Medicaid funding. Medicaid HCBSs also often augment care provided by family and other informal caregivers to individuals living with dementia. Although Medicaid-funded HCBSs are offered in most states in lieu of nursing home care, they have been largely overlooked as health care system partners for implementation and testing of evidence-based dementia care interventions using embedded pragmatic clinical trial (ePCT) designs. In this article, we make the case for the importance of Medicaid-funded HCBSs as dementia care ePCT partners because of the volume of vulnerable clients with dementia served and the potential positive impacts that evidence-based dementia care programs can have on clients and their informal caregivers. This article first characterizes the Medicaid HCBS setting in terms of populations served and organizational arrangements across states. We then characterize strengths and potential limitations presented by Medicaid HCBSs as settings within which to implement dementia care ePCTs, using as a conceptual framework the Pragmatic-Explanatory Continuum Indicator Summary (PRECIS-2) tool and its domains. We draw on our experiences implementing the Care of Persons with Dementia in their Environments (COPE) program in a statewide Medicaid HCBS setting to highlight how these potential ePCT partners can help optimize pragmatic approaches to several PRECIS-2 domains. We found that partners are especially effective in implementing pragmatic ways to determine eligibility for evidence-based dementia care programs; assist with recruitment of eligible individuals; incorporate dementia care interventions into the range of existing HCBSs; and track outcomes relevant to persons living with dementia, caregivers, HCBS providers, and Medicaid insurance stakeholders. We conclude with recommendations for researchers, potential ePCT partners, and policymakers to help facilitate the growth of dementia care ePCTs in Medicaid HCBS settings across the United States.

OBJECTIVE: To investigate Covid-19 vaccination as a potential secondary public health benefit of case management for Medicaid beneficiaries with health and social needs.
METHODS: 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.
METHODS: 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.
UNASSIGNED: Data were extracted from county and program records as of September 2021, totaling 12,866 interventions and 25,761 control enrollments.
RESULTS: 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.

In 2022, 239 New York state long-term care facilities (LTCFs) challenged a \"Safe Staffing\" law in court. Our study compares LTCFs involved and not involved in the lawsuit, testing for differences in staffing measures and resident outcomes during the first year of the coronavirus disease 2019 (COVID-19) pandemic.
New York LTCF-level data were obtained from the Centers for Medicare and Medicaid Services 2019 organization and 2020 COVID-19 data files. These data were then linked to data from the Long-Term Care Community Coalition, which identified the LTCFs involved in the \"Safe Staffing\" lawsuit. We first tested for differences in reported 2019 staffing levels by lawsuit involvement. Second, we specified \"Doubly Robust\" regression models to test if lawsuit involvement was associated with differences in resident COVID-19 infections, COVID-19 deaths, and overall mortality.
LTCFs involved in the lawsuit reported lower staff ratings and fewer staffing hours compared to LTCFs not involved in the lawsuit. Despite finding higher rates of admissions with COVID-19 in LTCFs involved in the lawsuit, we did not find that COVID-19 infections, COVID-19 deaths, or overall mortality differed by lawsuit involvement.
LTCFs involved in the lawsuit were deemed by policymakers as reducing staff, earning excess profits, and placing residents at risk. While these LTCFs reported lower staffing levels, we observed no differences in resident outcomes during the first year of the COVID-19 pandemic. Researchers and policymakers should develop more nuanced perspectives concerning the relationship among LTCF staffing, outcomes, and organizational profitability.