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OBJECTIVE: To develop easy to use and validated predictive models to identify beneficiaries experiencing homelessness from administrative data. DATA SOURCES: We pooled enrollment and claims data from enrollees of the California Whole Person Care (WPC) Medicaid demonstration program that coordinated the care of a subset of Medicaid beneficiaries identified as high utilizers in 26 California counties (25 WPC Pilots). We also used public directories of social service and health care facilities. STUDY DESIGN: Using WPC Pilot-reported homelessness status, we trained seven supervised learning algorithms with different specifications to identify beneficiaries experiencing homelessness. The list of predictors included address- and claims-based indicators, demographics, health status, health care utilization, and county-level homelessness rate. We then assessed model performance using measures of balanced accuracy (BA), sensitivity, specificity, positive predictive value, negative predictive value, and area under the receiver operating characteristic curve (area under the curve [AUC]). DATA COLLECTION/EXTRACTION METHODS: We included 93,656 WPC enrollees from 2017 to 2018, 37,441 of whom had a WPC Pilot-reported homelessness indicator. PRINCIPAL FINDINGS: The random forest algorithm with all available indicators had the best performance (87% BA and 0.95 AUC), but a simpler Generalized Linear Model (GLM) also performed well (74% BA and 0.83 AUC). Reducing predictors to the top 20 and top five most important indicators in a GLM model yields only slightly lower performance (86% BA and 0.94 AUC for the top 20 and 86% BA and 0.91 AUC for the top five). CONCLUSIONS: Large samples can be used to accurately predict homelessness in Medicaid administrative data if a validated homelessness indicator for a small subset can be obtained. In the absence of a validated indicator, the likelihood of homelessness can be calculated using county rate of homelessness, address- and claim-based indicators, and beneficiary age using a prediction model presented here. These approaches are needed given the rising prevalence of homelessness and the focus of Medicaid and other payers on addressing homelessness and its outcomes.

ObjectiveTo investigate the differential associations of homelessness with emergency department (ED) visits and hospitalizations by race, ethnicity, and gender.Data sourcesCalifornia Medicaid enrollment and claims.Study designWe identified beneficiaries experiencing homelessness (BEH) and those who did not (NBEH) using diagnosis and place of service codes and residential addresses. Outcomes include four ED visit measures and four hospitalization measures. We compared the use of these services by BEH to NBEH overall and by race, ethnicity, and gender groups in regression models controlling for covariates.Data collectionWe used a sample of Medicaid beneficiaries who met eligibility criteria for a California Medicaid demonstration program in 2017 and 2018 but were not enrolled in the program. We identified 473,069 BEH, and the rest (1,948,422) were considered NBEH. We used the 2018 data for utilization analyses and most covariates. We constructed lagged measures of health conditions using 2017 data.Principal findingsWe found that homelessness was significantly associated with 0.34 more ED visits (p

PurposeNearly one-fifth of Americans live in rural areas and experience multiple socioeconomic and health disparities. Health Resources and Services Administration (HRSA)-funded health centers (HCs) provide comprehensive primary care in rural communities. However, no prior research has examined trends in access to care in rural HC patients. We examined the change in access to care among patients served at rural HRSA-funded HCs in the United States between 2009 and 2014.MethodsWe compared patients by year to examine measures of access using multilevel generalized structural equation logistic regression models with random effects. We used the 2009 and 2014 cross-sectional Health Center Patient Surveys and identified 2,625 adult rural HC patients. Dependent variables were subjective (unmet need/delay in medical care, mental health, dental care, and prescription medications) and objective measures (preventive care and other health care utilization) in access to care. Our independent variable of interest was time, comparing access in 2009 and 2014.ResultsRural HC patients reported higher predicted probability of influenza vaccine receipt (37% vs 51%), and lower unmet (25% vs 14%) and delayed medical care (36% vs 18%) between 2009 and 2014. Any emergency department visits in the last year increased (32% vs 46%) and mammogram (70% vs 55%) and Pap test (83% vs 72%) screening rates decreased.ConclusionsObserved increases in access to care among rural HC patients are positive developments but the challenges to access care still persist. Remote services, such as telehealth, could be cost-effective means of improving access to care among rural patients with limited provider supply.

ObjectivesExisting literature indicates that multimorbidity, mental health (MH) conditions, substance use disorders (SUDs), and social determinants of health are hallmarks of high-need, high-cost patients. Health Resources and Services Administration-funded health centers (HCs) provide care to nearly 30 million patients, but data on their patients' complexity and utilization patterns are limited. We identified subgroups of HC patients based on latent concepts of complexity and utilization.Study designWe used cross-sectional national data from the 2014 Health Center Patient Survey and latent class analyses to identify distinct and homogenous groups of complex high-utilizing patients aged 18 to 64 years.MethodsWe included indicators of chronic conditions (CCs), MH, SUD risk, and health behavior to measure complexity. We used number of outpatient and emergency department visits in the past year to measure utilization.ResultsHC patients were separated in 9 distinct groups based on 3 complexity latent classes (MH, multiple CCs, and low risk) and 3 utilization classes (low, high, and superutilizers). Conditions associated with each subgroup differed. The highest prevalence of bipolar disorder (45%) and high SUD risk (6%) was observed among MH superutilizers, whereas the highest prevalence of cardiovascular disease (48%) and obesity (96%) was seen among CC superutilizers. Most MH superutilizer patients concurrently had MH conditions and obesity and were smokers, but most CC superutilizer patients concurrently had hypertension, obesity, and cardiovascular disease.ConclusionsOur examination of complexity and utilization indicated distinct HC patient populations. Managing the care of each group may require different targeted intervention approaches such as multidisciplinary care teams that include MH providers or specialists.

ObjectivesHealth Resources and Services Administration-funded health centres (HCs) are an important source of dental services for low-income and vulnerable patients in the United States. About 82% of HCs in 2018 had dental workforce, but it is unclear whether this workforce meets the oral health needs of HC patients. Thus, we first examined (a) whether dental workforce was associated with any dental visits vs none and (b) whether HC patients with any visits were more likely to have a visit at the HC vs elsewhere. We then examined (c) if need for oral health care and long-term continuity at the HC were associated with dental visits and visits at the HC.MethodsThis study used the 2014 Health Center Patient Survey, a nationally representative study of US HC patients, and the 2013 Uniform Data System, an administrative dataset of HC characteristics. We also used the 2013 Area Health Resource File to measure the contribution of local supply of dentists. We included working-age adult patients (n = 5006) and used multilevel structural equation models with Poisson specification.ResultsLarger dental workforce at the HC was significantly associated with 1% higher likelihood (relative risk [RR]: 1.01, 1.00-1.02) of any visits and 10% higher likelihood of a visit at the HC among those with a visit (RR: 1.10, 1.06-1.14). Patient self-reported oral health need was positively associated with 157% higher likelihood of dental visits (RR: 2.57, 2.29-2.88), and 42% higher likelihood of dental visit at the HC vs elsewhere (RR: 1.42, 1.19-1.69). Long-term continuity with the HC was not significantly associated with likelihood of dental visits, but was associated with 26% higher likelihood of visits at the HC among those who had any visits (RR: 1.26, 1.02-1.56).DiscussionThe findings highlight the potential impact of increasing dental workforce at HCs to promote access; the high level of need for oral health care at HCs; and the increased effort required to promote access among newer patients who may be less familiar with the availability of oral health care at HCs. Together, these findings reinforce the importance of addressing barriers of use of oral health services among low-income and uninsured patients.

Aims: This paper examines the association of multimorbidity, mental health (MH) conditions, and obesity severity among health center (HC) patients in the United States. Methods: We used cross-sectional data from the 2014 Health Center Patient Survey (n = 5370). We examined the independent association of multimorbidity and MH conditions with obesity severity using a multinomial logistic regression model, controlling for potential confounders. Results: More than half (50.4%) of HC patients had obesity, including 15% with severe obesity. In addition, 41% had multimorbidity and 49% had one of five diagnosed MH conditions. We found higher odds of having mild (OR = 4.06), moderate (OR = 3.39), and severe (OR = 4.93) obesity with the presence of both multimorbidity and MH conditions. Multimorbidity alone was also associated with higher odds of obesity, but MH conditions alone were only associated with having moderate obesity. Conclusions: Findings show a higher burden of comorbidity and MH conditions given the severity of obesity among HC patients. This complex patient profile highlights the need for innovative approaches in effective care delivery and management of HC patients who are primarily low-income or uninsured. Approaches may include further integration of behavioral health and social services with primary care and the need for targeted practice guidelines for providers managing such patients.

ObjectivesThis study aims to assess the impact of Health Resources and Services Administration (HRSA) investment in oral health through the HRSA FY16 Oral Health Service Expansion (OHSE) funding on workforce, access, and quality in health centers (HCs) from 2015 to 2017.MethodsAnalyses were conducted using data from the Uniform Data System from 2015 and 2017, and the 2015 Area Health Resource File. Change in indicators of oral health workforce, access, and quality of care by the receipt of OHSE funding received by HCs in 2016 were examined. Regression models for 1,345 HCs were developed to conduct a difference-in-difference analyses of the comparative change from 2015 to 2017 in the dependent variables among OHSE and non-OHSE awardees while controlling for confounders.ResultsOHSE awardees showed a significant difference in the oral health workforce with a higher mean number increase by 0.6 full time equivalent (FTE) dentists, 0.4 dental hygienists, 1.1 dental assistants, and 2.3 for other dental staff compared to non-OHSE awardees. Compared to non-OHSE awardees, OHSE awardees showed a mean increase of 712 dental patients served who received 1,402 dental visits, representing a 9-percentage point increase in the percentage of HCs that had an oral health program and a 3-percentage point increase in the ratio of dental patients to total patients.ConclusionsFunding dedicated to oral health service expansion in HCs may result in outcomes ranging from increasing workforce to reduction in access and financial barriers. Retrospective analysis demonstrated improved capacity for oral healthcare delivery attributable to HRSA support to HCs.

This study sought to examine racial/ethnic variations in receipt of provider recommendations on weight loss, patient adherence, perception of weight, attempts at weight loss and actual weight loss among patients with overweight/obesity status at Health Resources and Services Administration-funded health centres (HC). We used a 2014 nationally representative survey of adult HC patients with overweight/obesity status (PwOW/OB) last year and reported the HC was their usual source of care (n = 3517). We used logistic regression models to assess the interaction of race/ethnicity and having obesity in (1) provider recommendations of diet or (2) exercise, (3) patient adherence to diet or (4) exercise, (5) perceptions of weight and (6) weight loss attempts. We used a multinomial regression model to examine (7) weight loss or gain vs no change and a linear regression model to evaluate (8) percent weight change. We found Black PwOW/OB (OR = 1.65) experienced greater odds of receiving diet recommendations than Whites. We found limited racial/ethnic disparities in adherence. Black (OR = 0.41), Hispanic/Latino (OR = 0.45), and American Indian/Alaska Native (OR = 0.41) PwOW/OB had lower odds of perceiving themselves as overweight. Black (OR = 1.68) and Hispanic (OR = 1.98) PwOW/OB had a greater odds of reporting weight gain, and Asian PwOW/OB (OR = 0.42) had lower odds of reporting weight loss than Whites. Disparities in provider diet recommendations among Blacks and Hispanics indicated the importance of personalized weight management recommendations. Understanding underlying reasons for discordance between self-perception and observed weight among different groups is needed. Overall increase in weight, despite current interventions, should be addressed through targeted racially/ethnically appropriate approaches.

The rising prevalence of mental health conditions and substance use disorders (MH/SUD) underscores the important role of health centers (HCs) in caring for low-income and uninsured MH/SUD patients. This study used the 2014 Health Center Patient Survey and 2014 Uniform Data System to determine the independent association between delivery of MH/SUD integration and related interventions to patients that reported a MH/SUD condition (n=2714) with the number of HC visits, emergency department (ED) visits, and hospitalizations last year. Results showed that health education was associated with fewer predicted ED visits (1.8 vs. 2.3) and lower likelihood of hospitalizations (16% vs. 24%) among MH patients. Medical enabling services was associated with lower rates of ED visits (0.3 vs.1.9) and hospitalizations (

BackgroundThe opioid epidemic and subsequent mortality is a national concern in the U.S. The burden of this problem is disproportionately high among low-income and uninsured populations who are more likely to experience unmet need for substance use services. We assessed the impact of two Health Resources and Services Administration (HRSA) substance use disorder (SUD) service capacity grants on SUD staffing and service use in HRSA -funded health centers (HCs).Methods and findingsWe conducted cross-sectional analyses of the Uniform Data System (UDS) from 2010 to 2017 to assess HC (n = 1,341) trends in capacity measured by supply of SUD and medication-assisted treatment (MAT) providers, utilization of SUD and MAT services, and panel size and visit ratio measured by the number of patients seen and visits delivered by SUD and MAT providers. We merged mortality and national survey data to incorporate SUD mortality and SUD treatment services availability, respectively. From 2010 to 2015, 20% of HC organizations had any SUD staff, had an average of one full-time equivalent SUD employee, and did not report an increase in SUD patients or SUD services. SUD capacity grew significantly in 2016 (43%) and 2017 (22%). MAT capacity growth was measured only in 2016 and 2017 and grew by 29% between those years. Receipt of both supplementary grants increased the probability of any SUD capacity by 35% (95% CI: 26%, 44%) and service use, but decreased the probability of SUD visit ratio by 680 visits (95% CI: -1,013, -347), compared to not receiving grants.ConclusionsThe significant growth in HC specialized SUD capacity is likely due to supplemental SUD-specific HRSA grants and may vary by structure of grants. Expanding SUD capacity in HCs is an important step in increasing SUD access for low income and uninsured populations broadly and for patients of these organizations.

BackgroundIn the United States, there are nearly 1,400 Health Resources and Services Administration-funded health centers (HCs) serving low-income and underserved populations and more than 600 of these HCs are located in rural areas. Disparities in quality of medical care in urban vs. rural areas exist but data on such differences between urban and rural HCs is limited in the literature. We examined whether urban and rural HCs differed in their performance on clinical quality measures before and after controlling for patient, organizational, and contextual characteristics.Methods and findingsWe used the 2017 Uniform Data System to examine performance on clinical quality measures between urban and rural HCs (n = 1,373). We used generalized linear regression models with the logit link function and binomial distribution, controlling for confounding factors. After adjusting for potential confounders, we found on par performance between urban and rural HCs in all but one clinical quality measure. Rural HCs had lower rates of linking patients newly diagnosed with HIV to care (74% [95% CI: 69%, 80%] vs. 83% [95% CI: 80%, 86%]). We identified control variables that systematically accounted for eliminating urban vs. rural differences in performance on clinical quality measures. We also found that both urban and rural HCs had some clinical quality performance measures that were lower than available national benchmarks. Main limitations included potential discrepancy of urban or rural designation across all HC sites within a HC organization.ConclusionsFindings highlight HCs' contributions in addressing rural disparities in quality of care and identify opportunities for improvement. Performance in both rural and urban HCs may be improved by supporting programs that increase the availability of providers, training, and provision of technical resources.

BackgroundEvidence indicates the unmet need for primary care services including medical, mental health, and dental care is greater among uninsured and Medicaid beneficiaries than privately insured individuals, many of whom use Health Resources and Services Administration-funded health centers (HRSA HCs).ObjectiveWe examined differences in rates of unmet need between low-income uninsured and Medicaid patients of HRSA HCs and safety-net clinics in general or private physicians.Research designWe used logistic regression models to compare the predicted probabilities of unmet need for uninsured and Medicaid individuals whose usual source of care is HRSA HCs versus clinics in general or private physicians.SampleWe used a nationally representative survey of low income, adult patients who identified HRSA HCs as their usual source of care. We used the National Health Interview Survey to independently identify low-income individuals whose usual source of care was clinics (National Health Interview Survey clinics) or physicians (National Health Interview Survey physicians) in the general population.MeasuresDependent variables were unmet need and delay in medical care, and unmet need for prescription medications, mental health, and dental care. The primary independent variable of interest was the usual source of care. We controlled for potential confounders.ResultsWe found the probability of unmet need for medical and dental care to be lower among HRSA HC patients than individuals whose usual source of care were not HRSA HCs.ConclusionsHRSA HC patients have lower probabilities of unmet need for medical and dental care. This is likely because HRSA HCs provide accessible, affordable, and comprehensive primary care services. Expanding capacity of these organizations will help reduce unmet need and its consequences.

Enabling services address a combination of social determinants of health and barriers to access to primary care and are intended to reduce health disparities. They include care coordination; health education; transportation; and assistance with obtaining food, shelter, and benefits. Empirical evidence of enabling services' potential contribution to health outcomes is limited, which impedes their widespread dissemination. We examined how the receipt of enabling services influenced patient health care outcomes based on a nationally representative survey of patients served in 2014 at health centers funded by the Health Resources and Services Administration. We compared enabling services users and nonusers and found that enabling services were associated with 1.92 more health center visits, an 11.78-percentage-point higher probability of getting a routine checkup, a 16.34-percentage-point higher likelihood of having had a flu shot, and a 7.63-percentage-point higher probability of patient satisfaction. Our results confirm the value of systematic delivery of enabling services in reducing access barriers and improving patient satisfaction.

Some racial/ethnic minorities are more likely to have hypertension and experience increased hypertension-related morbidity and mortality compared to whites. Health Resources and Services Administration-funded health centers care for over 27 million patients, 62 percent of whom are racial/ethnic minorities. We assessed the presence of racial/ethnic disparities in (a) hypertension management and (b) hypertension outcomes among health center patients. We used data from the 2014 Health Center Patient Survey and performed multilevel logistic regression models to predict hypertension management counseling, patient adherence to counseling and medication regimen, management plan receipt, high blood pressure at last clinical visit, confidence in hypertension self-management, and hypertension-related emergency department (ED) episodes or hospitalizations in the past year. We controlled for patient characteristics including age, sex, education, nativity, health behaviors, health care access, and comorbidities. We found significantly higher odds of diet counseling (African Americans, OR: 1.87; Asian Americans, OR: 3.02, AIAN, OR: 2.01), reduced sodium intake (African American, OR: 2.42), and adherence to exercise counseling (African American, OR: 3.52; Asian Americans, OR: 2.93). We also found lower odds of taking hypertension control medication (AIAN, OR: 0.50) and higher odds of hypertension-related ED visits (African Americans, OR: 3.61, AIAN, OR: 5.31). These results highlight the success of health centers in managing hypertension by race/ethnicity but found adverse hypertension outcomes for some groups. Racial/ethnically tailored efforts might be required to manage hypertension and improve outcomes.

BackgroundMillions of Americans have uncontrolled hypertension and are low-income or uninsured populations. Health Resources and Services Administration-funded health centers (HCs) are primary providers of care to these patients and a majority have adopted the patient-centered medical home (PCMH). PCMH includes principles of care coordination or integration and care management-support important to the treatment of hypertension. We examined whether the receipt of PCMH concordant care by HC patients improved hypertension outcomes.MethodsWe used a nationally representative survey of adult HC patients with hypertension (n = 2,280) conducted between October 2014 and April 2015. We included data from the 2013 and 2014 Uniform Data System to include characteristics of the HCs where these patients received their care. Our outcome measures included flu shots, number of primary care visits, normal blood pressure at last visit, emergency department (ED) visits, confidence in self-care, and compliance with provider recommendations. The primary independent variables were (i) whether the HC coordinated and referred patients to specialists; (ii) provided counseling, health education, coaching, treatment plans, and advice on hypertension control; and (iii) helped patients to obtain government benefits, medical transportation, and basic needs such as housing and food. Logistic and negative binomial multivariate regression models were performed.ResultsHypertension-focused coaching was associated with normal blood pressure at last visit (odds ratio (OR) = 1.47) and fewer ED visits (incidence rate ratio = 0.81). Behavioral health counseling was associated with increased self-efficacy in self-care management (OR = 3.20).ConclusionsOur findings suggested that increased focus on these practices may lead to better hypertension outcomes among patients who are low-income and uninsured populations.

In order to study the influence of box subgrade haunching on structural static characteristics of high-speed railway, a more reasonable box subgrade haunching method is found. In this paper, the box subgrade is divided into independent components, and the reinforcement mode of each independent component is calculated through static analysis. ABAQUS software is used for numerical simulation. In view of the stress concentration phenomenon at the connection node between the top plate and the vertical plate of the box subgrade structure, the influence of different haunching heights and angles of the triangular haunch on the stress concentration at the node is studied by using the control variable method, and the optimal haunching mode is proposed to optimize the static characteristics of the box subgrade structure. The analysis results show that when the fixed axillary height is 400 mm and the axillary angle is between 15° ~ 60°, the stress mutation reduction ratio Sr value decreases with the increase of axillary angle; When the axillary angle is between 60° ~ 75°, the Sr value increases with the increase of the axillary angle, and the optimal axillary angle is between 45° ~ 60°. When the axillary angle is fixed at 60°, the Sr value decreases as the axillary length increases, and the optimal axillary length is between 300 ~ 400 mm. The determination of the reinforcement mode and the optimal haunching mode of the box type subgrade is innovative to a certain extent, and provides valuable technical experience for the research of structural optimization of box type Subgrade of high-speed railway in China. [ABSTRACT FROM AUTHOR]

Virtual reality (VR) surgery using the High Technology Computer Corporation Very Immersive Virtual Experience professional 2(HTC VIVE Pro2) suite is a multi-sensory, holistic surgical training experience. A multimedia combination including videos and three-dimensional interaction in VR has been developed to enable trainees to experience a realistic battlefield environment. The innovation allows trainees to interact with the individual components of the cranialmaxillofacial(CMF) anatomy and apply surgical instruments while watching close-up stereoscopic three-dimensional videos of the surgery. In this study, a novel training tool for the pre-hospital treatment of CMF trauma based on immersive virtual reality (iVR) was developed and validated. Twenty-five CMF surgeons evaluated the application for face and content validity. Using a structured assessment process, the surgeons commented on the content of the developed training tool, its realism and usability and the applicability of VR surgery for CMF trauma rescue simulation training. The results confirmed the applicability of VR for delivering training in the pre-hospital treatment of CMF trauma. Modifications were suggested to improve the user experience and interactions with the surgical instruments. This training tool is ready for testing with surgical trainees. [ABSTRACT FROM AUTHOR]

We examined weight management counseling practices of Health Resources and Services Administration-funded health center (HC) providers for patients with overweight (POW) and obesity (POB) status, focusing on weight-related conditions, risk factors, and health care utilization. We used a nationally representative cross-sectional survey of HC patients and multilevel generalized structural equation logistic regression models to assess the association of provider counseling practices for POW and POB and by three obesity classes. Dependent variables included being told by the HC provider that weight was a problem, receiving a diet or exercise recommendation, referral to a nutritionist, or receiving weight loss prescriptions. Independent variables included weight-related conditions such as diabetes and hypertension, risk factors such as smoking, and health service utilization such as five or more primary care visits. All POB classes had higher odds of receiving all five counseling interventions than POW. Patients with diabetes and high cholesterol had higher odds of diet recommendations (OR = 1.8) and nutritionist referrals (OR = 2.3), while patients with cardiovascular disease had higher odds of nutritionist referral (OR = 2.0) and receiving weight loss prescriptions (OR = 2.6). Respondents with POB class III and diabetes had higher odds of receiving exercise recommendations (OR = 3.4), while POB class 1 and had hypertension had lower odds of nutritionist referral (OR = 0.3). Variations in HC primary care providers' weight management counseling practices between POW and POB present missed opportunities for consistent practice and early intervention. Assessing providers' counseling practices for patients with comorbid conditions is essential to the successful management of the obesity crisis. [ABSTRACT FROM AUTHOR]

The high-pressure SCR system is suitable for low-speed marine engines that burn high-sulfur fuel, but it will cause the increase of the exhaust back pressure of main engine, which will affect the main engine's performance and fuel consumption. At the same time, due to the large weight and size of the SCR reactor, the overall heat storage performance of the SCR reactor is large, which makes the temperature difference between the front and back of the turbine in the start-up and shutdown of the main engine and transient conditions, affecting the transient response performance of the turbine. In this paper, 6S46ME marine low-speed diesel engine and its high-pressure SCR system are taken as the research object, the co-simulation model is constructed by using GT-Suite coupled with a programming software, and the accuracy of the test model is verified. The influence of high-pressure SCR system on the performance of main engine is analyzed, and it finds that the fuel consumption of the main engine at low load increases significantly greater than that at high load, and the exhaust temperature of the main engine changes differently at different loads. On this basis, the co-simulation model was used to analyze the matching performance of high-pressure SCR system under the transient conditions such as the main engine Tier II/Tier III mode switching process, fast-loading, normal-loading and fast-unloading. The results show that the slow cut-in/cut-out of SCR reactor is beneficial to the stable operation of the main engine system, and the cut-in/cut-out time of high-pressure SCR system greatly affects the transient fuel consumption of the main engine, and the maximum increase of fuel consumption is about 3.6 g/kW·h; In addition, the thermal inertia of the reactor has a greater impact on the performance of the main engine at low load, but not at high load. [ABSTRACT FROM AUTHOR]