Browsing by Subject "Health Care Reform"
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Item Open Access China's response to the rising stroke burden.(BMJ (Clinical research ed.), 2019-02-28) Li, Zixiao; Jiang, Yong; Li, Hao; Xian, Ying; Wang, YongjunItem Open Access COVID-19: The Time for Collaboration Between Long-Term Services and Supports, Health Care Systems, and Public Health Is Now.(The Milbank quarterly, 2021-06) Dawson, Walter D; Boucher, Nathan A; Stone, Robyn; VAN Houtven, Courtney HPolicy Points To address systemic problems amplified by COVID-19, we need to restructure US long-term services and supports (LTSS) as they relate to both the health care systems and public health systems. We present both near-term and long-term policy solutions. Seven near-term policy recommendations include requiring the uniform public reporting of COVID-19 cases in all LTSS settings; identifying and supporting unpaid caregivers; bolstering protections for the direct care workforce; increasing coordination between public health departments and LTSS agencies and providers; enhancing collaboration and communication across health, LTSS, and public health systems; further reducing barriers to telehealth in LTSS; and providing incentives to care for vulnerable populations. Long-term reform should focus on comprehensive workforce development, comprehensive LTSS financing reform, and the creation of an age-friendly public health system.Context
The heavy toll of COVID-19 brings the failings of the long-term services and supports (LTSS) system in the United States into sharp focus. Although these are not new problems, the pandemic has exacerbated and amplified their impact to a point that they are impossible to ignore. The primary blame for the high rates of COVID-19 infections and deaths has been assigned to formal LTSS care settings, specifically nursing homes. Yet other systemic problems have been unearthed during this pandemic: the failure to coordinate the US public health system at the federal level and the effects of long-term disinvestment and neglect of state- and local-level public health programs. Together these failures have contributed to an inability to coordinate with the LTSS system and to act early to protect residents and staff in the LTSS care settings that are hotspots for infection, spread, and serious negative health outcomes.Methods
We analyze several impacts of the COVID-19 pandemic on the US LTSS system and policy arrangements. The economic toll on state budgets has been multifaceted, and the pandemic has had a direct impact on Medicaid, the primary funder of LTSS, which in turn has further exacerbated the states' fiscal problems. Both the inequalities across race, ethnicity, and socioeconomic status as well as the increased burden on unpaid caregivers are clear. So too is the need to better integrate LTSS with the health, social care, and public health systems.Findings
We propose seven near-term actions that US policymakers could take: implementing a uniform public reporting of COVID-19 cases in LTSS settings; identifying and supporting unpaid caregivers; bolstering support for the direct care workforce; increasing coordination between public health departments and LTSS agencies and providers; enhancing collaboration and communication across health, LTSS, and public health systems; further reducing the barriers to telehealth in LTSS; and providing incentives to care for our most vulnerable populations. Our analysis also demonstrates that our nation requires comprehensive reform to build the LTSS system we need through comprehensive workforce development, universal coverage through comprehensive financing reform, and the creation of an age-friendly public health system.Conclusions
COVID-19 has exposed the many deficits of the US LTSS system and made clear the interdependence of LTSS with public health. Policymakers have an opportunity to address these failings through a substantive reform of the LTSS system and increased collaboration with public health agencies and leaders. The opportunity for reform is now.Item Open Access Optimized, unequal pulse spacing in multiple echo sequences improves refocusing in magnetic resonance.(J Chem Phys, 2009-11-28) Jenista, Elizabeth R; Stokes, Ashley M; Branca, Rosa Tamara; Warren, Warren SA recent quantum computing paper (G. S. Uhrig, Phys. Rev. Lett. 98, 100504 (2007)) analytically derived optimal pulse spacings for a multiple spin echo sequence designed to remove decoherence in a two-level system coupled to a bath. The spacings in what has been called a "Uhrig dynamic decoupling (UDD) sequence" differ dramatically from the conventional, equal pulse spacing of a Carr-Purcell-Meiboom-Gill (CPMG) multiple spin echo sequence. The UDD sequence was derived for a model that is unrelated to magnetic resonance, but was recently shown theoretically to be more general. Here we show that the UDD sequence has theoretical advantages for magnetic resonance imaging of structured materials such as tissue, where diffusion in compartmentalized and microstructured environments leads to fluctuating fields on a range of different time scales. We also show experimentally, both in excised tissue and in a live mouse tumor model, that optimal UDD sequences produce different T(2)-weighted contrast than do CPMG sequences with the same number of pulses and total delay, with substantial enhancements in most regions. This permits improved characterization of low-frequency spectral density functions in a wide range of applications.Item Open Access Population segmentation based on healthcare needs: a systematic review.(Systematic reviews, 2019-08-13) Chong, Jia Loon; Lim, Ka Keat; Matchar, David BruceBackground
Healthcare needs-based population segmentation is a promising approach for enabling the development and evaluation of integrated healthcare service models that meet healthcare needs. However, healthcare policymakers interested in understanding adult population healthcare needs may not be aware of suitable population segmentation tools available for use in the literature and barring better-known alternatives, may reinvent the wheel by creating and validating their own tools rather than adapting available tools in the literature. Therefore, we undertook a systematic review to identify all available tools which operationalize healthcare need-based population segmentation, to help inform policymakers developing population-level health service programmes.Methods
Using search terms reflecting concepts of population, healthcare need and segmentation, we systematically reviewed and included articles containing healthcare need-based adult population segmentation tools in PubMed, CINAHL and Web of Science databases. We included tools comprising mutually exclusive segments with prognostic value for clinically relevant outcomes. An updated secondary search on the PubMed database was also conducted as the last search was conducted 2 years ago. All identified tools were characterized in terms of segment formulation, segmentation base, whether they received peer-reviewed validation, requirement for comprehensive electronic medical records, proprietary status and number of segments.Results
A total of 16 unique tools were identified from systematically reviewing 9970 articles. Peer-reviewed validation studies were found for 9 of these tools.Discussion and conclusions
The underlying segmentation basis of most identified tools was found to be conceptually comparable to each other which suggests a broad recognition of archetypical patient overall healthcare need profiles. While many tools operate based on administrative record data, it is noted that healthcare systems without comprehensive electronic medical records would benefit from tools which segment populations through primary data collection. Future work could therefore include development and validation of such primary data collection-based tools. While this study is limited by exclusion of non-English literature, the identified and characterized tools will nonetheless facilitate efforts by policymakers to improve patient-centred care through development and evaluation of services tailored for specific populations segmented by these tools.