Medical Care Research and Review最新文献

This study examines the impact of legalizing fentanyl test strips (FTSs) on drug-related mortality in the United States from 2018 to 2022. Using a difference-in-differences approach with state-level data, we find that FTS legalization is associated with a significant reduction in drug-overdose deaths. Across the population, FTS legalization corresponds to a 7% decrease in overdose mortality, with an even more pronounced 13.5% reduction among Black individuals. Our analysis employs two-way fixed effects models and triple differences specifications to isolate the effect of FTS legalization from other factors. The results suggest that FTS legalization is particularly effective in reducing unintentional drug-overdose deaths. These findings underscore the potential of FTS as a critical harm reduction tool in addressing the opioid crisis, especially in mitigating racial disparities in overdose mortality. The study provides evidence to support expanding access to FTS as part of comprehensive public health strategies.

Decision control preferences (DCPs) refer to the degree of control patients' desire over their medical treatment. Several validated tools exist to evaluate a patient's DCPs, yet there is no universally used instrument and their use in clinical settings is lacking. We provide a systematic comparative summary of available DCP tools. Following a systematic database search, English language studies across medical contexts and patient populations were eligible if a validated assessment tool to evaluate patient DCPs was reported. Among the 15 tools that met inclusion criteria, the autonomy preference index (API) and the control preference scale (CPS) were the most used tools (API: 40%, CPS: 26.6%). Most studies (n = 9) sought to identify the information-seeking preferences of patients as a critical component of decision-making. Only few studies evaluated providers' perceptions of patient preferences. Considering the variety of patients' DCPs, implementation of DCP tools can optimize shared decision-making and improve patient outcomes.

Health care organizations are increasingly using team huddles to enhance communication, improve patient experience, and deliver timely care. However, established practices, resource constraints, and hierarchical role dynamics can hinder the effectiveness of huddling. This study investigates the dynamics of care huddle implementation through interviews with care providers and managers of an observation unit in a U.S. hospital. Qualitative analysis of interview data reveals that huddle adoption enhances relational coordination (RC), thus highlighting the importance of both coaching interventions in fostering proactive behavior and the building of a work environment aligned toward shared goals. The findings affirm RC as a dynamic change model, examining its interplay with organizational processes and structure. The study underscores the significance of adaptations in work processes, the role of informal boundary spanners in facilitating cross-departmental coordination, and structural changes that increase autonomy for low-power actors. We offer actionable recommendations for health care organizations aiming to improve care coordination.

Enrollment in Medicare Advantage (MA) Dual-Eligible Special Needs Plans (D-SNPs) among individuals dually eligible for Medicare and Medicaid has more than tripled over the past decade. Little is known about whether D-SNP plan design differs from standard MA plan design nor whether this design reflects the needs of dual-eligible enrollees. We characterize the degree to which D-SNPs specialize in an important plan design dimension-provider networks. We find that in 2022, 46% of D-SNPs offer networks that are distinct from the insurer's standard MA plan networks. Compared with D-SNP networks that are shared with standard MA plans, specialized D-SNP networks include more psychiatrists, Ob/Gyn's, and neurologists, providers that specialize in treating conditions more common among dually eligible enrollees. Network specialization is more common among insurers participating in the local Medicaid market and less common in provider shortage areas, suggesting investment in Medicaid and reduced provider negotiation costs may facilitate specialization.

Prospective payments for health care providers require adequate risk adjustment (RA) to address systematic variation in patients' health care needs. However, the design of RA for provider payment involves many choices and difficult trade-offs between incentives for risk selection, incentives for cost control, and feasibility. Despite a growing literature, a comprehensive framework of these choices and trade-offs is lacking. This article aims to develop such a framework. Using literature review and expert consultation, we identify key design choices for RA in the context of provider payment and subsequently categorize these choices along two dimensions: (a) the choice of risk adjusters and (b) the choice of payment weights. For each design choice, we provide an overview of options, trade-offs, and key references. By making design choices and associated trade-offs explicit, our framework facilitates customizing RA design to provider payment systems, given the objectives and other characteristics of the context of interest.

Decades of research shows that small firms are much less likely to offer health insurance than large firms, but less is known about differences among small employers. We examine this issue using the Medical Expenditure Panel Survey-Insurance Component with Administrative Records (MEPS-ICAR), a unique employer-employee linked data set that is constructed by matching the Medical Expenditure Panel Survey-Insurance Component (MEPS-IC) to Internal Revenue Service administrative records and the Decennial Census. Multivariate analyses show that among firms with fewer than 50 workers, the probability that workers receive an insurance offer is positively associated with higher median workforce incomes, and conditional offers of dependent coverage increase when the majority of workers are married or from a family with at least three members. This first application of the MEPS-ICAR highlights the significance of workforce characteristics in shaping small employer insurance benefits and the data's usefulness for expanding analyses of policy changes, wage-benefit tradeoffs, and health insurance benefits.

This study describes trends in the number of administrators in Pennsylvania hospitals from 1991 to 2020, and in the proportion of administrators to other hospital staff. Data are from the Pennsylvania Department of Health and the American Hospital Association. We find that between 1991 and 2020, the average number of administrators increased by 102% (60% when adjusted for patient volume). RNs, all nurses, and total hospital staff did not increase to the same extent, so the proportion of administrators to these staff increased by 24%, 33%, and 70% respectively. Common policies for reducing administrative costs may or may not apply to reducing administrator growth. Other policies should be explored as we discover specifics about this growth. Future studies should include data from other states and lower-level administrative staff. Studies should also examine the relationship between the number and proportion of administrators and nurse staffing, costs and quality of care.

State full practice authority (FPA) laws are designed to permit NPs to practice autonomously from physicians. Little is known regarding how FPA laws affect NPs' practice autonomy in daily practice. This study used nationwide survey data from 20,830 NPs to estimate how NPs' practice autonomy differs between NPs in FPA and non-FPA states. NPs in states with FPA laws were more than twice as likely as NPs in non-FPA states to practice in clinic settings with no onsite physicians and were twice as likely to not have a physician collaborator. Associations between FPA laws and four other indicators of practice autonomy were positive but smaller in magnitude. States with FPA laws more than 10 years experienced larger changes in nurse practitioner (NP) autonomy compared with states with FPA laws in effect less than 10 years. FPA laws may promote the development of autonomous NP practice sites, thereby expanding access in underserved populations.

Vertical integration of health systems-the common ownership of different aspects of the health care system-continues to occur at increasing rates in the United States. This systematic review synthesizes recent evidence examining the association between two types of vertical integration-hospital-physician (n = 43 studies) and hospital-post-acute care (PAC; n = 10 studies)-and cost, quality, and health services utilization. Hospital-physician integration is associated with higher health care costs, but the effect on quality and health services utilization remains unclear. The effect of hospital-PAC integration on these three outcomes is ambiguous, particularly when focusing on hospital-SNF integration. These findings should raise some concern among policymakers about the trajectory of affordable, high-quality health care in the presence of increasing hospital-physician vertical integration but perhaps not hospital-PAC integration.

Little is known about how take-up of Medicaid among eligible adults has changed since 2014. This study used data from the Medical Expenditure Panel Survey to examine changes in Medicaid enrollment among Medicaid-eligible adults between 2014 and 2019. Eligibility for Medicaid was simulated using state- and year-specific eligibility rules. Among all Medicaid-eligible citizen adults aged 19-64 years, the proportion enrolled in Medicaid increased from 55.5% in 2014-2015 to 61.9% in 2016-2017, and then remained approximately at the same level in 2018-2019 (61.5%). Among adults who became eligible because of the Medicaid expansions, the proportion enrolled in Medicaid increased from 44.1% in 2014-2015 to 53.8% in 2016-2017. Among pre-Affordable Care Act (ACA)-eligible adults, there was no statistically significant change in the proportion enrolled in Medicaid between 2014-2015 and 2016-2017 (66.8% and 69.7%, respectively). There were significant differences in changes in take-up rates across population subgroups.