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PloS One 2024Self-harm presents an important public health challenge. It imposes a notable burden on the utilization of emergency department (ED) services and medical expenses from...
BACKGROUND
Self-harm presents an important public health challenge. It imposes a notable burden on the utilization of emergency department (ED) services and medical expenses from patients and family. The Medicaid system is vital in providing financial support for individuals who struggle with medical expenses. This study explored the association of Medicaid coverage with ED visits following incidents of self-harm, utilizing nationwide ED surveillance data in Korea.
METHODS
Data of all patients older than 14 years who presented to EDs following incidents of self-harm irrespective of intention to end their life, including cases of self-poisoning, were gathered from the National ED Information System (NEDIS). The annual self-harm visit rate (SHVR) per 100,000 people was calculated for each province and a generalized linear model analysis was conducted, with SHVR as a dependent variable and factors related to Medicaid coverage as independent variables.
RESULTS
A 1% increase in Medicaid enrollment rate was linked to a significant decrease of 14% in SHVR. Each additional 1,000 Korean Won of Medicaid spending per enrollee was correlated with a 1% reduction in SHVR. However, an increase in Medicaid visits per enrollee and an extension of Medicaid coverage days were associated with an increase in SHVR. SHVR exhibited a stronger associated with parameters of Medicaid coverage in adolescents and young adults than in older adult population.
CONCLUSION
Expansion of Medicaid coverage coupled with careful monitoring of shifts in Medicaid utilization patterns can mitigate ED overloading by reducing visits related to self-harm.
Topics: Humans; Medicaid; Republic of Korea; Emergency Service, Hospital; Female; Male; Self-Injurious Behavior; Adult; Middle Aged; United States; Adolescent; Young Adult; Registries; Aged; Patient Acceptance of Health Care
PubMed: 38917201
DOI: 10.1371/journal.pone.0306047 -
The American Journal of Managed Care Jun 2024Most Medicare beneficiaries obtain supplemental insurance or enroll in Medicare Advantage (MA) to protect against potentially high cost sharing in traditional Medicare...
OBJECTIVES
Most Medicare beneficiaries obtain supplemental insurance or enroll in Medicare Advantage (MA) to protect against potentially high cost sharing in traditional Medicare (TM). We examined changes in Medicare supplemental insurance coverage in the context of MA growth.
STUDY DESIGN
Repeated cross-sectional analysis of the Medicare Current Beneficiary Survey from 2005 to 2019.
METHODS
We determined whether Medicare beneficiaries 65 years and older were enrolled in MA (without Medicaid), TM without supplemental coverage, TM with employer-sponsored supplemental coverage, TM with Medigap, or Medicaid (in TM or MA).
RESULTS
From 2005 to 2019, beneficiaries with TM and supplemental insurance provided by their former (or current) employer declined by approximately half (31.8% to 15.5%) while the share in MA (without Medicaid) more than doubled (13.4% to 35.1%). The decline in supplemental employer-sponsored insurance use was greater for White and for higher-income beneficiaries. Over the same period, beneficiaries in TM without supplemental coverage declined by more than a quarter (13.9% to 10.1%). This decline was largest for Black, Hispanic, and lower-income beneficiaries.
CONCLUSIONS
The rapid rise in MA enrollment from 2005 to 2019 was accompanied by substantial changes in supplemental insurance with TM. Our results emphasize the interconnectedness of different insurance choices made by Medicare beneficiaries.
Topics: Humans; United States; Aged; Male; Female; Cross-Sectional Studies; Primary Health Care; Medicare; Medicare Part C; Aged, 80 and over; Hospitalization; Insurance Coverage; Medicaid; Cost Sharing
PubMed: 38912952
DOI: 10.37765/ajmc.2024.89509 -
Journal of Primary Care & Community... 2024More time spent with interpreters may support clinician-patient communication for patients with limited English proficiency (LEP), especially when interpreter support...
INTRODUCTION/OBJECTIVES
More time spent with interpreters may support clinician-patient communication for patients with limited English proficiency (LEP), especially when interpreter support before and after clinical encounters is considered. We assessed whether more time spent with interpreters is associated with better patient-reported experiences of clinician-patient communication and interpreter support among patients with LEP.
METHODS
Patients with LEP (n = 338) were surveyed about their experiences with both the clinician and interpreter. Duration of interpreter support during the encounter (in min) and auxiliary time spent before and after encounters supporting patients (in min) were documented by interpreters. Multivariable linear regression models were estimated to assess the association of the time duration of interpreter support and patient experiences of (1) clinician-patient communication, and (2) interpreter support, controlling for patient and encounter characteristics.
RESULTS
The average encounter duration was 47.7 min (standard deviation, SD = 25.1), the average auxiliary time was 43.8 min (SD = 16.4), and the average total interpreter time was 91.1 min (SD = 28.6). LEP patients reported better experiences of interpreter support with a mean score of 97.4 out of 100 (SD = 6.99) compared to clinician-patient communication, with a mean score of 93.7 out of 100 (SD = 14.1). In adjusted analyses, total patient time spent with an interpreter was associated with better patient experiences of clinician-patient communication (β = 7.23, < .01) when auxiliary time spent by interpreters supporting patients before and after the encounter was considered, but not when only the encounter time was considered.
CONCLUSIONS
Longer duration of time spent with an interpreter was associated with better clinician-patient communication for patients with LEP when time spent with an interpreter before and after the clinician encounter is considered. Policymakers should consider reimbursing health care organizations for time interpreters spend providing patient navigation and other support beyond clinical encounters.
Topics: Humans; Male; Female; Limited English Proficiency; Middle Aged; Physician-Patient Relations; Adult; Translating; Time Factors; Patient Satisfaction; Communication Barriers; Aged; Communication
PubMed: 38912573
DOI: 10.1177/21501319241264168 -
Access to insurance navigation support through the State Health Insurance Assistance Program (SHIP).Health Affairs Scholar Jun 2024Medicare enrollment is complex, particularly for low-income individuals who are dually eligible for Medicare and Medicaid, and the wrong plan choice can adversely impact...
Medicare enrollment is complex, particularly for low-income individuals who are dually eligible for Medicare and Medicaid, and the wrong plan choice can adversely impact beneficiaries' out-of-pocket costs and access to providers and medications. The State Health Insurance Assistance Program (SHIP) is a federal program that provides counseling on Medicare coverage, but the degree to which SHIP services are accessible to low-income beneficiaries is unknown. We interviewed SHIP counselors and coordinators to characterize factors affecting access to and quality of SHIP services for low-income beneficiaries. Availability of volunteers was cited as the primary barrier to SHIP services. Topics related to dual eligibility for Medicare and Medicaid were frequently covered in counseling sessions, and staff expressed a desire for more training related to Medicaid and integrated-care programs. Our results suggest that additional counselors and increased training on topics relevant to dually eligible individuals may improve SHIP's ability to provide health insurance-related information to low-income Medicare beneficiaries.
PubMed: 38911681
DOI: 10.1093/haschl/qxae072 -
JAMIA Open Jul 2024Anaphylaxis is a severe life-threatening allergic reaction, and its accurate identification in healthcare databases can harness the potential of "Big Data" for...
OBJECTIVES
Anaphylaxis is a severe life-threatening allergic reaction, and its accurate identification in healthcare databases can harness the potential of "Big Data" for healthcare or public health purposes.
MATERIALS AND METHODS
This study used claims data obtained between October 1, 2015 and February 28, 2019 from the CMS database to examine the utility of machine learning in identifying incident anaphylaxis cases. We created a feature selection pipeline to identify critical features between different datasets. Then a variety of unsupervised and supervised methods were used (eg, Sammon mapping and eXtreme Gradient Boosting) to train models on datasets of differing data quality, which reflects the varying availability and potential rarity of ground truth data in medical databases.
RESULTS
Resulting machine learning model accuracies ranged from 47.7% to 94.4% when tested on ground truth data. Finally, we found new features to help experts enhance existing case-finding algorithms.
DISCUSSION
Developing precise algorithms to detect medical outcomes in claims can be a laborious and expensive process, particularly for conditions presented and coded diversely. We found it beneficial to filter out highly potent codes used for data curation to identify underlying patterns and features. To improve rule-based algorithms where necessary, researchers could use model explainers to determine noteworthy features, which could then be shared with experts and included in the algorithm.
CONCLUSION
Our work suggests machine learning models can perform at similar levels as a previously published expert case-finding algorithm, while also having the potential to improve performance or streamline algorithm construction processes by identifying new relevant features for algorithm construction.
PubMed: 38911332
DOI: 10.1093/jamiaopen/ooae037 -
Inquiry : a Journal of Medical Care... 2024Several states are considering competitive procurement to help shape Medicaid managed care markets. In New York state, the focus of our study, regulators propose...
Several states are considering competitive procurement to help shape Medicaid managed care markets. In New York state, the focus of our study, regulators propose contracts that reward quality improvement and simplify state administration by rewarding plans that operate across several of the state's 62 counties. This case analysis uses novel regulatory data from New York state, obtained via public records request, to examine incentives underlying Medicaid markets and help inform contracting design. The data report plan enrollment by county and plan spending across administrative activities for all 16 Medicaid plans in New York state for 2018. We examine the counties in which plans operate, profitability, and administrative resource allocation. We compare outcomes by tertile of plan profitability, measured as net income per member-month. Plan profitability ranged widely, with the most profitable plan realizing nearly $30 per member-month while the least profitable 5 plans realized net negative earnings. Operational differences across plan profitability emerged most clearly in administrative spending. The most profitable plans reported greater spending on salaries overall and for executive management, and taxes, while the least profitable plans spent more on operational functions including utilization management/ quality improvement, claims processing, and informational systems. We observe modest differences in county rurality and little in geographic breadth. Procurement design that rewards capacity-building in key administrative functions might impact market evolution, given that on average, highly profitable firms spent less on these activities in New York's Medicaid managed care market in 2018.
Topics: Managed Care Programs; New York; Medicaid; United States; Humans; Motivation
PubMed: 38910529
DOI: 10.1177/00469580241258653 -
Health Economics Review Jun 2024The Affordable Care Act (ACA), enacted in 2010, aimed to improve healthcare coverage for American citizens. This study investigates the impact of Medicaid expansion (ME)...
BACKGROUND
The Affordable Care Act (ACA), enacted in 2010, aimed to improve healthcare coverage for American citizens. This study investigates the impact of Medicaid expansion (ME) under the ACA on the racial and ethnic composition of nursing home admissions in the U.S., focusing on whether ME has led to increased representation of racial/ethnic minorities in nursing homes.
METHODS
A difference-in-differences estimation methodology was employed, using U.S. county-level aggregate data from 2000 to 2019. This approach accounted for multiple time periods and variations in treatment timing to analyze changes in the racial and ethnic composition of nursing home admissions post-ME. Additionally, two-way fixed effects (TWFE) regression was utilized to enhance robustness and validate the findings.
RESULTS
The analysis revealed that the racial and ethnic composition of nursing home admissions has become more homogeneous following Medicaid expansion. Specifically, there was a decline in Black residents and an increase in White residents in nursing homes. Additionally, significant differences were found when categorizing states by income inequality, and poverty rate levels. These findings remain statistically significant even after controlling for additional variables, indicating that ME influences the racial makeup of nursing home admissions.
CONCLUSIONS
Medicaid expansion has not diversified nursing home demographics as hypothesized; instead, it has led to a more uniform racial composition, favoring White residents. This trend may be driven by nursing home preferences and financial incentives, which could favor residents with private insurance or higher personal funds. Mechanisms such as payment preferences and local cost variations likely contribute to these shifts, potentially disadvantaging Medicaid-reliant minority residents. These findings highlight the complex interplay between healthcare policy implementation and racial disparities in access to long-term care, suggesting a need for further research on the underlying mechanisms and implications for policy refinement.
PubMed: 38902384
DOI: 10.1186/s13561-024-00517-3 -
Gerontology & Geriatric Medicine 2024The Centers for Medicare & Medicaid Services (CMS) grades nursing home performance in antipsychotic prescribing quarterly, publishing findings as a quality measure....
The Centers for Medicare & Medicaid Services (CMS) grades nursing home performance in antipsychotic prescribing quarterly, publishing findings as a quality measure. While scores have improved since 2011, marked performance variation between facilities persists. To assess quality gap changes between best- and worst-performing deciles, we compared quarterly prescribing changes between these groups pre-pandemic (April 2011 to March 2020) and during the pandemic (April 2020 to March 2022). Antipsychotic quality measure scores, improving pre-pandemic, deteriorated during the pandemic. The pre-pandemic quality gap between the best- and worst-performing deciles narrowed as the worst-performing decile improved faster than the best-performing decile. During the pandemic, the quality gap widened as the worst-performing decile relapsed more than the best-performing decile ( < .0001). The pandemic disrupted quality performance gains and compounded disparities between facilities. A better understanding of the factors allowing high performers to weather pandemic stressors better than poor performers may reveal opportunities to improve nursing home quality and equity for all residents.
PubMed: 38899053
DOI: 10.1177/23337214241262914 -
JMIR MHealth and UHealth Jun 2024Hypertension, a key modifiable risk factor for cardiovascular disease, is more prevalent among Black and low-income individuals. To address this health disparity,...
Engagement in mHealth-Prompted Self-Measured Blood Pressure Monitoring Among Participants Recruited From a Safety-Net Emergency Department: Secondary Analysis of the Reach Out Trial.
BACKGROUND
Hypertension, a key modifiable risk factor for cardiovascular disease, is more prevalent among Black and low-income individuals. To address this health disparity, leveraging safety-net emergency departments for scalable mobile health (mHealth) interventions, specifically using text messaging for self-measured blood pressure (SMBP) monitoring, presents a promising strategy. This study investigates patterns of engagement, associated factors, and the impact of engagement on lowering blood pressure (BP) in an underserved population.
OBJECTIVE
We aimed to identify patterns of engagement with prompted SMBP monitoring with feedback, factors associated with engagement, and the association of engagement with lowered BP.
METHODS
This is a secondary analysis of data from Reach Out, an mHealth, factorial trial among 488 hypertensive patients recruited from a safety-net emergency department in Flint, Michigan. Reach Out participants were randomized to weekly or daily text message prompts to measure their BP and text in their responses. Engagement was defined as a BP response to the prompt. The k-means clustering algorithm and visualization were used to determine the pattern of SMBP engagement by SMBP prompt frequency-weekly or daily. BP was remotely measured at 12 months. For each prompt frequency group, logistic regression models were used to assess the univariate association of demographics, access to care, and comorbidities with high engagement. We then used linear mixed-effects models to explore the association between engagement and systolic BP at 12 months, estimated using average marginal effects.
RESULTS
For both SMBP prompt groups, the optimal number of engagement clusters was 2, which we defined as high and low engagement. Of the 241 weekly participants, 189 (78.4%) were low (response rate: mean 20%, SD 23.4) engagers, and 52 (21.6%) were high (response rate: mean 86%, SD 14.7) engagers. Of the 247 daily participants, 221 (89.5%) were low engagers (response rate: mean 9%, SD 12.2), and 26 (10.5%) were high (response rate: mean 67%, SD 8.7) engagers. Among weekly participants, those who were older (>65 years of age), attended some college (vs no college), married or lived with someone, had Medicare (vs Medicaid), were under the care of a primary care doctor, and took antihypertensive medication in the last 6 months had higher odds of high engagement. Participants who lacked transportation to appointments had lower odds of high engagement. In both prompt frequency groups, participants who were high engagers had a greater decline in BP compared to low engagers.
CONCLUSIONS
Participants randomized to weekly SMBP monitoring prompts responded more frequently overall and were more likely to be classed as high engagers compared to participants who received daily prompts. High engagement was associated with a larger decrease in BP. New strategies to encourage engagement are needed for participants with lower access to care.
Topics: Humans; Male; Female; Middle Aged; Telemedicine; Emergency Service, Hospital; Safety-net Providers; Adult; Hypertension; Aged; Michigan; Text Messaging; Blood Pressure Determination
PubMed: 38889070
DOI: 10.2196/54946 -
JAMA Network Open Jun 2024
Topics: Humans; United States; Aged; Female; Male; Marijuana Abuse; Cannabis; Legislation, Drug; Middle Aged; Aged, 80 and over
PubMed: 38888925
DOI: 10.1001/jamanetworkopen.2024.17634