Number Of Conditions Research Articles

Методические условия реализации метода предметно-языкового интегрированного обучения (CLIL) в обучении английскому языку в начальной школе

The aim of the study is to substantiate the possibility of implementing the method of Content and Language Integrated Learning (CLIL) in early English language teaching in primary school. The paper discusses the notion of the CLIL method, its main components, as well as the conditions that ensure the most optimal use of the method in teaching a foreign language to primary school children and provides examples of the practical implementation of the specified conditions. The scientific novelty of the study lies in identifying the methodological conditions that make it possible to teach English most effectively at an early stage on the basis of content and language integration. As a result of the study, it was found that CLIL can be successfully used in teaching English to primary school children with consistent observance of a number of important conditions. The issues related to the selection of the teaching content in accordance with the programs of the integrated subjects, as well as the possibility of further practical application of knowledge and skills on the studied topics and the vocabulary used in them, are considered. In addition, the importance of strict adherence to established methodological stages in the formation of foreign language speech skills and abilities is emphasized, as well as the need to involve all types of speech activity when using the CLIL method.

A Triangular-Matrix-Based Spectral Encoding Method for Broadband Filtering and Reconstruction-Based Spectral Measurement.

Broadband filtering and reconstruction-based spectral measurement represent a hot technical route for miniaturized spectral measurement; the measurement encoding scheme has a great effect on the spectral reconstruction fidelity. The existing spectral encoding schemes are usually complex and hard to implement; thus, the applications are severely limited. Considering this, here, a simple spectral encoding method based on a triangular matrix is designed. The condition number of the proposed spectral encoding system is estimated and demonstrated to be relatively low theoretically; then, verification experiments are carried out, and the results show that the proposed encoding can work well under precise or unprecise encoding and measurement conditions; therefore, the proposed scheme is demonstrated to be an effective trade-off of the spectral encoding efficiency and implementation cost.

Discrete null field equation methods for solving Laplace's equation: Boundary layer computations

AbstractConsider Dirichlet problems of Laplace's equation in a bounded simply‐connected domain , and use the null field equation (NFE) of Green's representation formulation, where the source nodes are located on a pseudo‐boundary outside but not close to its boundary . Simple algorithms are proposed in this article by using the central rule for the NFE, and the normal derivatives of the solutions on the boundary can be easily obtained. These algorithms are called the discrete null field equation method (DNFEM) because the collocation equations are, indeed, the direct discrete form of the NFE. The bounds of the condition number are like those by the method of fundamental solutions (MFS) yielding the exponential growth as the number of unknowns increases. One trouble of the DNFEM is the near singularity of integrations for the solutions in boundary layers in Green's representation formulation. The traditional BEM also suffers from the same trouble. To deal with the near singularity, quadrature by expansions and the sinh transformation are often used. To handle this trouble, however, we develop two kinds of new techniques: (I) the interpolation techniques by Taylor's formulas with piecewise ‐degree polynomials and the Fourier series, and (II) the mini‐rules of integrals, such as the mini‐Simpson's and the mini‐Gaussian rules. Error analysis is made for technique I to achieve optimal convergence rates. Numerical experiments are carried out for disk domains to support the theoretical analysis made. The numerical performance of the DNFEM is excellent for disk domains to compete with the MFS. The errors with can be obtained by combination algorithms, which are satisfactory for most engineering problems. In summary, the new simple DNFEM is based on the NFE, which is different from the boundary element method (BEM). The theoretical basis in error and stability has been established in this article. One trouble in seeking the numerical solutions in boundary layers has been handled well; this is also an important contribution to the BEM. Besides, numerical experiments are encouraging. Hence the DNFEM is promising, and it may become a new boundary method for scientific/engineering computing.

Risk of winter hospitalisation and death from acute respiratory infections in Scotland: national retrospective cohort study.

We undertook a national analysis to characterise and identify risk factors for acute respiratory infections (ARIs) resulting in hospitalisation during the winter period in Scotland. A population-based retrospective cohort analysis. Scotland. The study involved 5.4 million residents in Scotland. Cox proportional hazard models were used to estimate adjusted hazard ratios (aHRs) and 95% confidence intervals (CIs) for the association between risk factors and ARI hospitalisation. Between 1 September 2022 and 31 January 2023, there were 22,284 (10.9% of 203,549 with any emergency hospitalisation) ARI hospitalisations (1759 in children and 20,525 in adults) in Scotland. Compared with the reference group of children aged 6-17 years, the risk of ARI hospitalisation was higher in children aged 3-5 years (aHR = 4.55; 95% CI: 4.11-5.04). Compared with those aged 25-29 years, the risk of ARI hospitalisation was highest among the oldest adults aged ≥80 years (aHR = 7.86; 95% CI: 7.06-8.76). Adults from more deprived areas (most deprived vs. least deprived, aHR = 1.64; 95% CI: 1.57-1.72), with existing health conditions (≥5 vs. 0 health conditions, aHR = 4.84; 95% CI: 4.53-5.18) or with history of all-cause emergency admissions (≥6 vs. 0 previous emergency admissions, aHR = 7.53; 95% CI: 5.48-10.35) were at a higher risk of ARI hospitalisations. The risk increased by the number of existing health conditions and previous emergency admission. Similar associations were seen in children. Younger children, older adults, those from more deprived backgrounds and individuals with greater numbers of pre-existing conditions and previous emergency admission were at increased risk for winter hospitalisations for ARI.

Considering the impact of shift working on health.

Shift work is necessary for the provision of health services, especially in hospitals as it is the only way to provide continuous care to patients. Working at night is inconsistent with the body's biological clock and night shift working hugely disrupts the circadian and sleep wake cycles. In 2020, the World Health Organization classified night shift working as being a 'probable' class 2A carcinogen and a number of independent cohort studies of both night workers and shift workers have observed increased incidence of certain cancers. Altered sleep timing, food timing and light exposure typical for shift workers leads to an acute circadian disruption and misalignment of regulatory hormones. This straying from synchronisation has been shown to result in individuals being more vulnerable to a number of chronic health conditions. Night shift work disrupts the normal sleep-wake cycle, often leading to shortened sleep duration and excessive fatigue and the results of this are far reaching. This article will explore the full impact of shift working, questioning if current practices employed within the NHS should continue.

The condition number of singular subspaces, revisited

I revisit the condition number of computing left and right singular subspaces from J.-G. Sun (1996) [19]. For real and complex matrices, I present an alternative computation of this condition number in the Euclidean distance on the input space of matrices and the chordal, Grassmann, and Procrustes distances on the output Grassmannian manifold of linear subspaces. Up to a small factor, this condition number equals the inverse minimum singular value gap between the singular values corresponding to the selected singular subspace and those not selected.

Characteristics and outcomes of peripheral neuropathic pain patients with repeated applications of high-concentration capsaicin cutaneous patch: Results of a retrospective chart review in Germany.

The aim of this study was to evaluate patient characteristics, concomitant analgesic medication, and pain intensity in a real-world setting in Germany, focusing on the repeated application of high-concentration capsaicin patch (HCCP) for neuropathic pain. Data were collected from electronic medical records of patients who received at least two HCCP treatments between January 2011 and July 2022. Subgroup analyses were performed based on the number of HCCP treatments, age groups, and specific neuropathic pain conditions. The study was conducted at an outpatient pain center in Wiesbaden, Germany. The study included 97 patients, primarily diagnosed with neuropathic back pain, postoperative or post-traumatic neuropathic pain, and postherpetic neuralgia. The daily dose of concomitant medications (eg, opioids and anticonvulsants) at the start of capsaicin therapy was compared with the average within 2 years of capsaicin therapy. The last observation carried forward method was used if HCCP treatment was discontinued before the end of the 2-year period. The majority of patients received concomitant medications, with opioids, anticonvulsants, and antidepressants being the most common. The average daily morphine equivalent dose decreased significantly during HCCP treatment. Pain intensity at baseline was generally high, but substantial improvements were observed in patients who received at least three HCCP applications. This study provides evidence for the effectiveness of HCCP treatment in reducing pain intensity and concomitant opioid use in patients with neuropathic pain. Further research is needed to explore the long-term outcomes and optimal treatment regimens for different patient populations.

The Sport Concussion Assessment Tool: A multidimensional symptom model for detecting elevated post-concussion symptoms

Objective: Investigate whether a four-factor model of post-concussion symptoms (i.e. cognitive, physical, affective, and sleep-arousal) aids in identifying student-athletes with persistent concerns not reflected by a total symptom score. Method: Collegiate student-athletes (N = 32,066) from the Concussion Assessment Research and Education consortium completed the Sport Concussion Assessment Tool, 3rd edition Symptom Evaluation at baseline and two post-injury follow-ups (i.e. beginning RTP and 6-month). Confirmatory factor analysis was used to compare a one- and four-factor model of post-concussion symptoms. Normative reference data were compared across stratifications (e.g. sex, prior concussions, and number of pre-existing conditions) using Mann-Whitney U tests, and elevation rates (i.e. ≥ 84th percentile) for subscales and the total score were recorded. Results: The four-factor model fit well before and after injury (CFIs > .95). Greater symptom severity on the subscale and total scores was associated with female sex (ps<.001, r range: .07 to .14) and more pre-existing conditions (ps<.001, η 2 range: .01 to .04), while having more prior concussions was only related to total symptom scores (ps<.001, η 2<.01). After a concussion, a sizeable portion of student-athletes (i.e., RTP = 11.8%; 6-month = 8.3%) had subscale elevations despite no total score elevation. Physical subscale elevations at RTP were the most common (i.e., 11.9%), driven by head and neck pain. Conclusion: After a sport-related concussion, a four-factor symptom model can be used to assess persistent symptoms in collegiate student-athletes. Identifying athletes with domain-specific elevations may help clinicians identify areas for further assessment and, in some cases, personalized rehabilitation plans.

Health care utilization after enrollment in an outpatient structured clinical program for children with medical complexity

Abstract Objectives Although children with medical complexity (CMC) with high health resource utilization use outpatient structured clinical programs (SCP) to optimize their health, little is known about variation in trends of their health service use shortly after enrollment. We measured these trends and assessed the utility of patient characteristics to predict them. Methods Retrospective analysis of 506 CMC newly enrolled in an outpatient, academic SCP. We measured outpatient and inpatient health service use for the first 6 months following enrollment. Using cluster analysis, we categorized CMC with similar trends by health service. We assessed patient demographic (e.g., age) and clinical [type and number of complex chronic conditions (CCC)] characteristics with the cluster categories. Results Most (90.3%) CMC enrolled had ≥1 CCCs; 53.8% had ≥3 CCCs. For all CMC, outpatient specialty visits, phone calls, and hospitalizations (not involving ICU) decreased significantly over the first 6 months after enrollment. For example, the hospitalization rate decreased from 9.7% to 4.5% in the 1st and 6th months, respectively, (P &amp;lt; 0.001). Cluster analysis revealed four categories of hospitalization trends, 6 months after enrollment: 72.9% of CMC had no hospital use; 16.0% had increased then decreased use; 8.3% had decreased use; and 2.8% had increased use. No patient and clinical characteristics clearly distinguished which hospitalization trend CMC experienced. Conclusions Although the overall population of CMC experienced decreased outpatient and inpatient health services utilization over time, this decrease was not uniformly experienced. Fundamental patient demographic and clinical characteristics did not predict health service trends.

The association between rurality, dual Medicare/Medicaid eligibility and chronic conditions with telehealth utilization: An analysis of 2019-2020 national Medicare claims.

Telehealth services have the potential to increase healthcare access among underserved populations, such as rural residents and racial/ethnic minority groups. The COVID-19 public health emergency led to unprecedented growth in telehealth utilization, but evidence suggests the growth has not been equitable across all patient populations. This study aimed to explore whether telehealth utilization and expansion changed equitably from 2019 to 2020 among sub-groups of Medicare beneficiaries. We conducted an analysis of telehealth utilization among a 20% random sample of 2019-2020 Medicare beneficiaries on a national level. We fit multivariable logistic regression models and calculated average marginal effects (AME) to assess the association between demographic and clinical characteristics on telehealth utilization. We found telehealth utilization was less likely among non-Hispanic Black/African-American (2019: adjusted odds ratio [aOR] = 0.77, AME = -0.15; 2020: aOR = 0.85, AME = -3.50) and Hispanic (2019: aOR = 0.79, AME = -0.13; 2020: aOR = 0.87, AME = -2.89) beneficiaries, relative to non-Hispanic White beneficiaries in both 2019 and 2020, with larger disparities in 2020. Rural beneficiaries were more likely to utilize telehealth than urban beneficiaries in 2019 (aOR = 2.62, AME = 0.84), but less likely in 2020 (aOR = 0.57, AME = -14.47). In both years, dually eligible Medicare/Medicaid beneficiaries were more likely than non-dually eligible beneficiaries to utilize telehealth (2019: aOR = 4.75, AME = 0.84; 2020: aOR = 1.34, AME = 2.25). However, the effects of dual eligibility and rurality changed in both models as the number of chronic conditions increased. We found evidence of increasing disparities in telehealth utilization among several Medicare beneficiary sub-groups in 2020 relative to 2019, including individuals of minority race/ethnicity, rural residents, and dually eligible beneficiaries, with disparities increasing among individuals with more chronic conditions. Although telehealth has the potential to address health inequities, our findings suggest that many of the patients in greatest need of healthcare are least likely to utilize telehealth services.

Industrial scale fouling of heat exchangers in isocyanate production

The fouling of a commercial stainless steel (AISI 316L) during the manufacture of polymeric methylene diphenyl diisocyanate (pMDI) has been studied using laboratory‐based fouling apparatus that simulates commercial production conditions. The goal of the work is to understand the mechanisms behind the corrosion and fouling during isocyanate production with a view to improving process efficiency, not only in this process, but also others using similar plant and processes. Steel coupons were exposed to a solution of pMDI and solid amine hydrochloride, with hydrogen chloride gas being bubbled through the reaction cell. A number of different conditions were investigated, the variables being pMDI concentration, HCl gas flow duration, immersion time and temperature. Following the fouling experiments the coupons were removed from the fouling rig, photographed, and examined by XPS and ToF‐SIMS; principal component analysis was used to extend the ToF‐SIMS analysis to identify organic fouling products. The extent of fouling is shown to be relatively insensitive to pMDI concentration, but significantly influenced by continual HCl flow and increased temperature, features which increase the extent of substrate corrosion thought to be a precursor to the fouling process itself. Both XPS and ToF‐SIMS confirm the formation of various nickel chlorides in the corrosion process. Urea and metal corrosion products are found to co‐exist on certain (random) areas of the coupon surface.

The Modernization of Oriental Music Therapy: Five-Element Music Therapy Combined with Artificial Intelligence

In recent years, music has been regarded as a promising non-pharmacological intervention for a number of physical and mental conditions. Five-elements music therapy—based on the five-element theory—is a unique non-pharmacological therapy of East Asian traditional medicine. It has the potential to effectively provide individualized music therapy to individuals with illness. However, one limitation of this music therapy is that the classification of the five elements and its application is mainly based on subjective judgment. The development of artificial intelligence (AI) has enabled the acoustic analysis of multi-factor sound sources. This can develop five-element music therapy. Here, we discussed the challenges proposed by the future combination of five-element music therapy and AI. Further, we hypothesized that AI may promote its use in the medical field.

(267) The Prevalence of Conditions Involving Aberrant Mast Cell Activity in Patients with Neuroproliferative Vestibulodynia

Abstract Introduction Neuroproliferative vestibulodynia (NPV) is a provoked vestibular pain, shown to be associated with excess immunohistochemical staining for CD117 and PGP9.5, consistent with mast cells and nerves, respectively. It is hypothesized that NPV occurs in genetically predisposed patients in whom mast cells accumulate in the vestibular sub-epithelial stroma where they release various cytokines/growth factors that stimulate the growth of nerves, causing severe allodynia and hyperalgesia throughout the entire vestibule. Objective To assess, in our patient cohort with histopathologically confirmed diagnosis of NPV, the prevalence of concomitant conditions involving aberrant mast cell activity. Methods Medical records from people with vulvas who underwent vestibulectomy between June 1, 2019 and December 31, 2022 were retrospectively reviewed. This research protocol was IRB-exempt. Histories from these patients, all of whom had histopathologically confirmed NPV after observing &amp;gt; 8 immunopositive CD117 stained cells per high-power field in the sub-epithelial stroma, were reviewed. The prevalence was noted for the presence of concomitant conditions where aberrant mast cell activity has been reported to play a critical role in symptomatology. The focus was on the following eight conditions: asthma, chronic sinusitis, endometriosis, food allergy/intolerance, interstitial cystitis, irritable bowel syndrome, migraine, and postural orthostatic tachycardia syndrome. Results A total of 65 NPV patients were included in this chart review. While 24 (37%) reported none, 41 (63%) had at least one other concomitant condition involving aberrant mast cell activity. A total of 25 (38%), 10 (15%), 4 (6%) and 2 (3%) had one, two, three and five other conditions, respectively, involving aberrant mast cell activity. The most common such condition was migraine (n=14; 22%), followed by endometriosis (n=12; 19%), food allergy/intolerance (n=11; 17%), interstitial cystitis (n=10; 15%), irritable bowel syndrome (n=8; 12%), asthma (n=7; 11%), chronic sinusitis (n=5; 8%) and postural orthostatic tachycardia syndrome (n=2; 3%). There was no correlation between the number of concomitant conditions with aberrant mast cell activity reported and the density of CD117-immunopositive staining in the overall cohort of patients with NPV or within the subgroups of those with either lifelong or acquired NPV. Conclusions Patients with histopathologically confirmed NPV have a high prevalence of concomitant conditions associated with aberrant mast cell activity. While more studies are needed, NPV is likely part of a broader systemic collection of conditions associated with aberrant mast cell activity. This finding is relevant in terms of future diagnostic and treatment options for patients with NPV. Disclosure No.

Implementation and analysis of a parallel kalman filter algorithm for lidar localization based on CUDA technology.

Introduction: Navigation satellite systems can fail to work or work incorrectly in a number of conditions: signal shadowing, electromagnetic interference, atmospheric conditions, and technical problems. All of these factors can significantly affect the localization accuracy of autonomous driving systems. This emphasizes the need for other localization technologies, such as Lidar. Methods: The use of the Kalman filter in combination with Lidar can be very effective in various applications due to the synergy of their capabilities. The Kalman filter can improve the accuracy of lidar measurements by taking into account the noise and inaccuracies present in the measurements. Results: In this paper, we propose a parallel Kalman algorithm in three-dimensional space to speed up the computational speed of Lidar localization. At the same time, the initial localization accuracy of the latter is preserved. A distinctive feature of the proposed approach is that the Kalman localization algorithm itself is parallelized, rather than the process of building a map for navigation. The proposed algorithm allows us to obtain the result 3.8 times faster without compromising the localization accuracy, which was 3% for both cases, making it effective for real-time decision-making. Discussion: The reliability of this result is confirmed by a preliminary theoretical estimate of the acceleration rate based on Ambdahl's law. Accelerating the Kalman filter with CUDA for Lidar localization can be of significant practical value, especially in real-time and in conditions where large amounts of data from Lidar sensors need to be processed.

Management of stress urinary incontinence associated with perimenopause

Pelvic health physiotherapy is recommended as first-line treatment for those with lower urinary tract symptoms and pelvic floor dysfunction. Pelvic health physiotherapists treat a number of genitourinary conditions conservatively, including stress urinary incontinence, overactive bladder, pelvic organ prolapse and vaginal atrophy. When physiotherapy management alone does not fully resolve symptoms, medication may be required. Independent prescribing enables the physiotherapist to maintain continuity of care, allowing a smoother, more effective patient journey. This offers quicker access to medicines and helps avoid delays in commencing appropriate treatment, reducing waiting times across other services. In this article, the role of the pelvic health physiotherapy independent prescriber is detailed in a case study of a patient referred with symptoms of stress urinary incontinence associated with impaired pelvic floor function and episodic constipation, in addition to perimenopausal vaginal dryness causing dyspareunia.

Ultrasparse Ultrasparsifiers and Faster Laplacian System Solvers

In this paper we provide an O ( m loglog O (1) n log (1/ϵ))-expected time algorithm for solving Laplacian systems on n -node m -edge graphs, improving upon the previous best expected runtime of \(O(m \sqrt {\log n} \mathrm{log log}^{O(1)} n \log (1/\epsilon)) \) achieved by (Cohen, Kyng, Miller, Pachocki, Peng, Rao, Xu 2014). To obtain this result we provide efficient constructions of low spectral stretch graph approximations with improved stretch and sparsity bounds. As motivation for this work, we show that for every set of vectors in \(\mathbb {R}^d \) (not just those induced by graphs) and all integer k &gt; 1 there exist an ultra-sparsifier with d − 1 + O ( d / k ) re-weighted vectors of relative condition number at most k 2 . For small k , this improves upon the previous best known multiplicative factor of \(k \cdot \tilde{O}(\log d) \) , which is only known for the graph case. Additionally, in the graph case we employ our low-stretch subgraph construction to obtain n − 1 + O ( n / k )-edge ultrasparsifiers of relative condition number k 1 + o (1) for k = ω (log  δ n ) for any δ &gt; 0: this improves upon the previous work for k = o (exp (log  1/2 − δ n )).

Energy Insecurity Indicators Associated With Increased Odds Of Respiratory, Mental Health, And Cardiovascular Conditions.

Energy insecurity, defined as the inability to meet household energy needs, has multiple economic, physical, and coping dimensions that affect health. We conducted the first citywide representative survey of energy insecurity and health in a sample of 1,950 New York City residents in 2022. We compiled ten indicators that characterize energy insecurity as experienced in New York City housing settings and then examined associations between number and types of indicators and health conditions. Nearly 30percent of residents experienced three or more indicators, with significantly higher levels among Black non-Latino/a and Latino/a residents compared with White non-Latino/a residents, renters compared with owners, recent immigrants compared with those living in the United States for longer, and those in households with children compared with those with no children. Residents with three or more indicators of energy insecurity had higher odds of respiratory, mental health, and cardiovascular conditions and electric medical device dependence than residents with no indicators. Our study demonstrates that broadening the understanding of energy insecurity with context-specific metrics can help guide interventions and policies that address disparities relevant to health and energy equity.

Effect of timeframes to define long term conditions and sociodemographic factors on prevalence of multimorbidity using disease code frequency in primary care electronic health records: retrospective study

ObjectiveTo determine the extent to which the choice of timeframe used to define a long term condition affects the prevalence of multimorbidity and whether this varies with sociodemographic factors.DesignRetrospective study...

Social Determinants of Health and Multimorbidity Among Adults 50 Years and Older in the United States.

Living with two or more chronic conditions simultaneously-known as multimorbidity-has become increasingly prevalent as the aging population continues to grow. However, the factors that influence the development of multimorbidity are still not fully understood. The purpose of this study was to investigate the prevalence of multimorbidity among U.S. adults 50 years and older and identify associated factors with multimorbidity. We used data from four cycles from the National Health and Nutrition Examination Survey (2011-2018) to examine the associations between social determinants of health and multimorbidity among American adults aged 50 years and older. A set of variables on socioeconomic status and health behaviors was chosen based on the social determinants of health conceptual framework developed by the World Health Organization. In our study, 4,552 participants were included. All analyses were accounted for a complex survey design and the use of survey weights. Multiple logistic regression analyses were performed to examine the associated factors with multimorbidity. The average age was 63.1 years, and 52.9% were female. The average number of chronic conditions was 2.27. The prevalence of multimorbidity was 63.8%, with high cholesterol and hypertension being the most prevalent conditions. In the adjusted model, age, gender, household income, citizenship status, health insurance, healthcare access, body mass index, and smoking status were found to be associated with living with multimorbidity. Our results indicate that continued efforts aimed at promoting smoking cessation and maintaining a healthy weight will be beneficial in preventing the onset of chronic conditions. Additional research is warranted to gain a deeper understanding of the interrelationships between gender, race/ethnicity, household income, citizenship status, health insurance, and healthcare access as social determinants of health in the context of multimorbidity. Further research will help us develop targeted interventions and policies to address disparities and improve health outcomes for individuals with multimorbidity.

Comparing Medicare plan selection among beneficiaries with and without a history of cancer

Abstract Individuals aging into Medicare must choose among plans that vary in their scope of benefits, access to health care providers, and exposure to out-of-pocket expenses. When faced with complex coverage decisions, it is unclear whether older adults consider their experiences with prior serious illness or current medical conditions. We estimated the association between a self-reported history of cancer and initial plan selection among 3811 Health and Retirement Study participants aging into Medicare between 2008 and 2020. The proportion of individuals with and without a history of cancer who chose Medicare Advantage was similar; however, the probability of selecting traditional Medicare plus supplemental coverage was 8.03 percentage points (95% confidence interval, 2.99–13.07) higher for respondents with a history of cancer compared with those without a history of cancer. Individuals with a history of cancer may have accounted for their previous experiences with high-cost health care services and prioritized plans with robust benefits (eg, greater financial protections). Raising awareness of and enhancing educational resources could ensure that older adults select plans that meet their current and evolving health care needs.