Health care resource utilization and costs associated with psychiatric comorbidities in adult patients with attention-deficit/hyperactivity disorder.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a heterogeneous condition with extensive psychiatric comorbidities. ADHD has been associated with substantial clinical and economic burden; however, little is known about the incremental burden specifically attributable to psychiatric comorbidities of ADHD in adults. OBJECTIVE: To assess the impact of psychiatric comorbidities, specifically anxiety and depression, on health care resource utilization (HRU) and costs in treated adults with ADHD in the United States. METHODS: A retrospective case-cohort study was conducted. Adults with ADHD were identified in the IQVIA PharMetrics Plus database (10/01/2015-09/30/2021). The index date was defined as the date of initiation of a randomly selected ADHD treatment. The baseline period was defined as the 6 months prior to the index date, and the study period as the 12 months following the index date. Patients with at least 1 diagnosis for anxiety and/or depression during both the baseline and study periods were classified in the ADHD+anxiety/depression cohort, whereas those without diagnoses for anxiety or depression at any time were classified in the ADHD-only cohort. Entropy balancing was used to create reweighted cohorts with similar baseline characteristics. All-cause HRU and health care costs were assessed during the study period and compared between cohorts using regression analyses. Cost analyses were also conducted in subgroups stratified by comorbid conditions. RESULTS: After reweighting, patients in the ADHD-only cohort (N = 276,906) and ADHD+anxiety/depression cohort (N = 217,944) had similar characteristics (mean age 34.1 years; 54.8% male). All-cause HRU was higher in the ADHD+anxiety/depression cohort than the ADHD-only cohort (incidence rate ratios for inpatient admissions: 4.5, emergency department visits: 1.8, outpatient visits: 2.0, and psychotherapy visits: 6.4; all P < 0.01). All-cause health care costs were more than 2 times higher in the ADHD+anxiety/depression cohort than the ADHD-only cohort (mean per-patient per-year [PPPY] costs in ADHD-only vs ADHD+anxiety/depression cohort: $5,335 vs $11,315; P < 0.01). Among the ADHD+anxiety/depression cohort, average all-cause health care costs were $9,233, $10,651, and $15,610 PPPY among subgroup of patients with ADHD and only anxiety, only depression, and both anxiety and depression, respectively. CONCLUSIONS: Comorbid anxiety and depression is associated with additional HRU and costs burden in patients with ADHD. Comanagement of these conditions is important and has the potential to alleviate the burden experienced by patients and the health care system.

Relationship between hukou conversion and psychological integration of rural older migrants: the mediating effect of accessibility to health resources.

OBJECTIVE: This study investigates the relationship between hukou conversion and the psychological integration of rural older migrants, exploring the mediating role of accessibility to health resources. METHODS: The 3,963 valid samples of rural older migrants included in the study were sourced from the 2017 China Migrants Dynamic Survey (CMDS). The study established a multiple linear regression model for estimation and utilized inverse probability-weighted regression adjustment (IPWRA) method to correct for the selection bias of hukou conversion. RESULTS: Compared to older migrants with rural hukou, merit-based (ß = 0.384, 95% CI: 0.265 to 0.504), family-based (ß = 0.371, 95% CI: 0.178 to 0.565) and policy-based (ß = 0.306, 95% CI: 0.124 to 0.487) converters have significantly higher psychological integration. These findings remain robust even after addressing the potential issue of endogenous selection bias using the IPWRA method. Bootstrap mediating effect tests indicate that hukou conversion can indirectly affect psychological integration through the mediator role of health resources accessibility. CONCLUSION: Accessibility of health resources mediates the association between hukou conversion and psychological integration. Policymakers should enhance the implementation of hukou conversion, strengthen the health resource guarantee system, and achieve a deeper psychological integration among rural older migrants.

Management of neonates with respiratory distress syndrome in resource-limited settings.

In South Africa, prematurity stands as one of the foremost causes of neonatal mortality. A significant proportion of these deaths occur because of respiratory distress syndrome of prematurity. The implementation of non-invasive respiratory support, such as continuous positive airway pressure (CPAP), has demonstrated both safety and efficacy in reducing mortality rates and decreasing the need for mechanical ventilation. Given the absence of blood gas analysers and limited radiological services in many district hospitals, the severity of respiratory distress is often assessed through observation of the infant's work of breathing and the utilisation of bedside scoring systems. Based on the work of breathing, non-invasive therapy can be commenced timeously. While evidence supporting the use of high-flow nasal cannula as a primary treatment for respiratory distress syndrome remains limited, it may be considered as an alternative, provided that CPAP machines are available. The purpose of this article is to advocate the use of non-invasive therapy in low resource-limited settings and describe the indications, contraindications, complications, and application of CPAP therapy. This would benefit healthcare workers, especially in low-care settings and district hospitals.

How Should We Manage Antimicrobial Resistance in Resource-Limited Settings?

Patients living in low- and middle-income countries (LMICs) shoulder the greatest burden of infections caused by antimicrobial-resistant pathogens. Speedy access to appropriate broad-spectrum antimicrobials significantly improves health outcomes and reduces transmission of antimicrobial-resistant pathogens, but persons living in LMICs have compromised access to these antimicrobials. This article considers how inequities in microbiology diagnostics, antimicrobial access, and antimicrobial affordability influence outcomes for patients infected with antimicrobial-resistant pathogens who live in resource-limited settings.

Healthcare resource utilization and costs in patients with a newly confirmed diagnosis of lupus nephritis in the United States over a 5-year follow-up period.

BACKGROUND: We aimed to describe healthcare resource utilization (HCRU) and healthcare costs in patients with newly confirmed lupus nephritis (LN) in the United States over a 5-year follow-up period. METHODS: This retrospective, longitudinal cohort study (GSK Study 214102) utilized administrative claims data to identify individuals with a newly confirmed diagnosis of LN between August 01, 2011, and July 31, 2018, based on LN-specific International Classification of Diseases diagnosis codes. Index was the date of first LN-related diagnosis code claim. HCRU, healthcare costs, and incidence of systemic lupus erythematosus (SLE) flares were reported annually among eligible patients with at least 5 years continuous enrollment post-index. RESULTS: Of 2,159 patients with a newly confirmed diagnosis of LN meeting inclusion and exclusion criteria, 335 had at least 5 years continuous enrollment post-index. HCRU was greatest in the first year post-LN diagnosis across all categories (inpatient admission, emergency room [ER] visits, ambulatory visits, and pharmacy use), and trended lower, though remained substantial, in the 5-year follow-up period. Among patients with LN and HCRU, the mean (standard deviation [SD]) number of ER visits and inpatient admissions were 3.7 (4.6) and 1.8 (1.5), respectively, in Year 1, which generally remained stable in Years 2-5; the mean (SD) number of ambulatory visits and pharmacy fills were 35.8 (25.1) and 62.9 (43.8), respectively, in Year 1, and remained similar for Years 2-5. Most patients (≥ 91.6%) had ≥ 1 SLE flare in each of the 5 years of follow-up. The proportion of patients who experienced a severe SLE flare was higher in Year 1 (31.6%) than subsequent years (14.3-18.5%). Total costs (medical and pharmacy; mean [SD]) were higher in Year 1 ($44,205 [71,532]) than subsequent years ($29,444 [52,310]-$32,222 [58,216]), driven mainly by inpatient admissions (Year 1: $21,181 [58,886]; subsequent years: $7,406 [23,331]-$9,389 [29,283]). CONCLUSIONS: Patients with a newly confirmed diagnosis of LN have substantial HCRU and healthcare costs, particularly in the year post-diagnosis, largely driven by inpatient costs. This highlights the need for improved disease management to prevent renal damage, improve patient outcomes, and reduce costs among patients with renal involvement.

Healthcare resource utilization and costs among patients with alpha-1 antitrypsin deficiency with liver and/or lung disease: a longitudinal retrospective study in the USA.

Aim: To evaluate all-cause and liver-associated healthcare resource utilization (HCRU) and costs among patients with alpha-1 antitrypsin deficiency (AATD) with liver disease (LD) and/or lung disease (LgD). Materials & methods: This was a retrospective analysis of linked administrative claims data from the IQVIA PharMetrics® Plus and the IQVIA Ambulatory Electronic Medical Records (AEMR) databases from 1 July 2021 to 31 January 2022. Patients with AATD in the IQVIA PharMetrics Plus database were included with ≥1 inpatient or ≥2 outpatient medical claims ≥90 days apart with a diagnosis of AATD, or with records indicating a protease inhibitor (Pi)*ZZ/Pi*MZ genotype in the IQVIA AEMR database with linkage to IQVIA PharMetrics Plus. For a patient's identified continuous enrollment period, patient time was assigned to health states based on the initial encounter with an LD/LgD diagnosis. A unique index date was defined for each health state, and HCRU and costs were calculated per person-year (PPY). Results: Overall, 5136 adult and pediatric patients from the IQVIA PharMetrics Plus and IQVIA AEMR databases were analyzed. All-cause and liver-associated HCRU and costs were substantially higher following onset of LD/LgD. All-cause cost PPY ranged from US $11,877 in the absence of either LD/LgD to US $74,015 in the presence of both LD and LgD. Among liver transplant recipients in the AATD with LD health state, liver-associated total costs PPY were US $87,329 1-year pre-transplantation and US $461,752 1-year post-transplantation. In the AATD with LgD and AATD with LD and LgD health states, patients who received augmentation therapy were associated with higher all-cause total costs PPY and lower liver-associated total costs PPY than their counterparts who did not receive augmentation therapy. Conclusion: Patients with AATD had increased HCRU and healthcare costs in the presence of LD and/or LgD. HCRU and healthcare costs were highest in the AATD with LD and LgD health state.

Costs and health care resource utilization among Medicare beneficiaries diagnosed with chronic lymphocytic leukemia.

BACKGROUND: Chronic lymphocytic leukemia (CLL) is the most common type of leukemia. However, published studies of CLL have either only focused on costs among individuals diagnosed with CLL without a non-CLL comparator group or focused on costs associated with specific CLL treatments. An examination of utilization and costs across different care settings provides a holistic view of utilization associated with CLL. OBJECTIVE: To quantify the health care costs and resource utilization types attributable to CLL among Medicare beneficiaries and identify predictors associated with each of the economic outcomes among beneficiaries diagnosed with CLL. METHODS: This retrospective study used a random 20% sample of the Medicare Chronic Conditions Data Warehouse (CCW) database covering the 2017-2019 period. The study population consisted of individuals with and without CLL. The CLL cohort and non-CLL cohort were matched using a 1:5 hard match based on baseline categorical variables. We characterized economic outcomes over 360 days across cost categories and places of services. We estimated average marginal effects using multivariable generalized linear regression models of total costs and across type of services. Total cost was compared between CLL and non-CLL cohorts using the matched sample. We used generalized linear models appropriate for the count or binary outcome to identify factors associated with various categories of health care resource utilization, such as inpatient admissions, emergency department (ED) visits, and oncologist/hematologist visits. RESULTS: A total of 2,736 beneficiaries in the CLL cohort and 13,571 beneficiaries in the non-CLL matched cohort were identified. Compared with the non-CLL cohort, the annual cost for the CLL cohort was higher (CLL vs non-CLL, mean [SD]: $22,781 [$37,592] vs $13,901 [$24,725]), mainly driven by health care provider costs ($6,535 vs $3,915) and Part D prescription drug costs ($5,916 vs $2,556). The main categories of health care resource utilization were physician evaluation/management visits, oncologist/hematologist visits, and laboratory services. Compared with beneficiaries aged 65-74 years, beneficiaries aged 85 years or older had lower use and cost in maintenance services (ie, oncologist visits, hospital outpatient costs, and prescription drug cost) but higher use and cost in acute services (ie, ED). Compared with residency in a metropolitan area, living in a nonmetropolitan area was associated with fewer physician visits but higher ED visits and hospitalizations. CONCLUSIONS: The cooccurrence of lower utilization of routine care services, along with higher utilization of acute care services among some individuals, has implications for patient burden and warrants further study.

A Standard Framework for Evaluating Large Health Care Data and Related Resources.

Since 2000, the availability and use of large health care data and related resources for conducting surveillance, research, and evaluations to guide clinical and public health decision-making has increased rapidly. These trends have been related to transformations in health care information technology and public as well as private-sector efforts for collecting, compiling, and supplying large volumes of data. This growing collection of robust and often timely data has enhanced the capability to increase the knowledge base guiding clinical and public health activities and also has increased the need for effective tools to assess the attributes of these resources and identify the types of scientific questions they are best suited to address. This: MMWR supplement presents a standard framework for evaluating large health care data and related resources, including constructs, criteria, and tools that investigators and evaluators can apply and adapt.

Spatial distribution and influencing factors of CDC health resources in China: a study based on panel data from 2016-2021.

Background: Measuring the development of Chinese centers for disease control and prevention only by analyzing human resources for health seems incomplete. Moreover, previous studies have focused more on the quantitative changes in healthcare resources and ignored its determinants. Therefore, this study aimed to analyze the allocation of healthcare resources in Chinese centers for disease control and prevention from the perspective of population and spatial distribution, and to further explore the characteristics and influencing factors of the spatial distribution of healthcare resources. Methods: Disease control personnel density, disease control and prevention centers density, and health expenditures density were used to represent human, physical, and financial resources for health, respectively. First, health resources were analyzed descriptively. Then, spatial autocorrelation was used to analyze the spatial distribution characteristics of healthcare resources. Finally, we used spatial econometric modeling to explore the influencing factors of healthcare resources. Results: The global Moran index for disease control and prevention centers density decreased from 1.3164 to 0.2662 (p < 0.01), while the global Moran index for disease control personnel density increased from 0.4782 to 0.5067 (p < 0.01), while the global Moran index for health expenditures density was statistically significant only in 2016 (p < 0.1). All three types of healthcare resources showed spatial aggregation. Population density and urbanization have a negative impact on the disease control and prevention centers density. There are direct and indirect effects of disease control personnel density and health expenditures density. Population density and urbanization had significant negative effects on local disease control personnel density. Urbanization has an indirect effect on health expenditures density. Conclusion: There were obvious differences in the spatial distribution of healthcare resources in Chinese centers for disease control and prevention. Social, economic and policy factors can affect healthcare resources. The government should consider the rational allocation of healthcare resources at the macro level.

The spatio-temporal pattern and its influencing factors of production efficiency of health resources in China.

There is always a contradiction between the limited health resources and the unlimited demand of the population for health services, and only by improving the productivity of health resources can the health level of the population be improved as much as possible. Using prefecture-level administrative regions as spatial units, the paper analyzes the spatial pattern and changes of health productivity of health resources in China from 2000 to 2010, and uses a spatial panel Tobit model to examine the effects of factors such as technical level of health institutions, health service accessibility, public health policies and ecological environment quality on health productivity of health resources. The results show that with the Hu Huanyong line as the dividing line, the spatial heterogeneity of "high in the southeast and low in the northwest" in the health productivity of China's health resources is clear; as the regional differences narrow, the spatial correlation increases, and the spatial pattern of "overall dispersion and partial agglomeration" becomes more obvious. The fitting results of the spatial Durbin model reveal the direction and degree of influence of local and adjacent factors on the production efficiency of health resources. The positive influence of technical level of local health institutions and the accessibility of health services, the literacy level and the ability to pay for health services of residents in adjacent areas, the degree of urbanization of regional health resource allocation, climate suitability and the quality of the atmospheric environment are significant. And the negative influence of local residents' literacy and ability to pay for health services, the technical level of health institutions in adjacent areas and the degree of medicalization of health resource allocation are also significant. The influence of the degree of medicalization of local health resource allocation and the accessibility of health services in adjacent areas are significantly spatial-heterogeneous.

Medical resource usage for COVID-19 evaluated using the National Database of Health Insurance Claims and Specific Health Checkups of Japan.

PURPOSE: The coronavirus disease 2019 (COVID-19) pandemic exhibited several different waves threatening global health care. During this pandemic, medical resources were depleted. However, the kind of medical resources provided to each wave was not clarified. This study aimed to examine the characteristics of medical care provision at COVID-19 peaks in preparation for the next pandemic. METHODS: Using medical insurance claim records in Japan, we examined the presence or absence of COVID-19 infection and the use of medical resources for all patients monthly by age group. RESULTS: The wave around August 2021 with the Delta strain had the strongest impact on the working population in terms of hospital admission and respiratory support. For healthcare providers, this peak had the highest frequency of severely ill patients. In the subsequent wave, although the number of patients with COVID-19 remained high, they were predominantly older adults, with relatively fewer patients receiving intensive care. CONCLUSIONS: In future pandemics, we should refer to the wave around August 2021 as a situation of medical resource shortage resulting from the COVID-19 pandemic.

Geographical accessibility of medical resources, health status, and demand of integrated care for older people: a cross-sectional survey from Western China.

BACKGROUND: The World Health Organization (WHO) published the Integrated Care for Older People (ICOPE) framework to help healthcare providers cope with the population aging crisis. However, the relevant evidence on the demands of older people and the compensatory capacity of the environment is limited. This study reports for the first time the level of the ICOPE demand in Western China that includes the impact of geographic accessibility of medical resources (GAMR) on ICOPE demand and the potential mechanism of health status. METHODS: A cross-sectional questionnaire survey was conducted among 1200 adults aged 60 years and older selected through multi-stage stratified cluster sampling to obtain relevant data, including ICOPE demand, health status, and GAMR. Propensity score matching (PSM) was used to analyze the impact of GAMR on ICOPE demand among older people and those with different health statuses. RESULTS: Among the prospective research participants, 1043 were eligible for the study. The mean score of ICOPE demand among all participants was 3.68 (standard deviation [SD] = 0.78). After adjusting for covariates between high and low GAMR groups (1:1 match), ICOPE demand was significantly higher in the low GAMR group than in the high GAMR group (average treatment effect on the treated [ATT] = 0.270, p < 0.05). For both good and poor self-rated health status, the ICOPE demand of the low GAMR group was significantly higher than that in the high GAMR group (ATT = 0.345, p < 0.05; ATT = 0.190, p < 0.05). For chronic diseases, the ICOPE demand of older people with multimorbidity in the low GAMR group was significantly higher than that in the high GAMR group (ATT = 0.318, p < 0.01). CONCLUSIONS: The older population in Western China has a relatively high demand for ICOPE. Low GAMR is a key factor in ICOPE demand growth in this region. It accelerates demand release for both older people with multimorbidity and self-perceptions of health.

The outcome of nonoperative treatment for adult humeral shaft fractures using a U-shaped slab in resource-limited settings: a prospective cohort study.

BACKGROUND: Humeral shaft fractures, constituting 3-5% of musculoskeletal injuries, are commonly managed conservatively using functional braces. However, this approach may not be feasible in resource-limited settings. This study aimed to evaluate the functional outcomes of nonoperative treatment for humeral shaft fractures in adults utilizing a U-shaped slab. METHODS: This prospective study was conducted from August 2021 to August 2022 involving 16-year-old and older individuals who received nonsurgical treatment for humeral shaft fractures at public tertiary hospitals in Rwanda. The assessment focused on various functional outcomes, including alignment, union rate, range of motion, return to activities of daily living, and DASH score. RESULTS: The study included 73 participants, predominantly males (73.9%), with a median age of 33 years. The union rate was high at 89.04%, and 10.96% experienced delayed union. Radial nerve palsy occurred in 4.11% of patients, but all the patients fully recovered within three months. Despite angular deformities during healing in the majority of participants, these deformities did not significantly impact functional outcomes. According to the international classification of disabilities, 77% of participants achieved a good functional grade. CONCLUSION: The conservative U-shaped slab method was effective at managing humeral shaft fractures. However, optimal results necessitate careful participant selection and comprehensive rehabilitation education. Implementing these measures can improve the overall success of nonoperative management.

Association Between Sleep Apnea Treatment and Health Care Resource Use in Patients With Atrial Fibrillation.

BACKGROUND: Obstructive sleep apnea (OSA) contributes to the generation, recurrence, and perpetuation of atrial fibrillation, and it is associated with worse outcomes. Little is known about the economic impact of OSA therapy in atrial fibrillation. This retrospective cohort study assessed the impact of positive airway pressure (PAP) therapy adherence on health care resource use and costs in patients with OSA and atrial fibrillation. METHODS AND RESULTS: Insurance claims data for ≥1 year before sleep testing and 2 years after device setup were linked with objective PAP therapy use data. PAP adherence was defined from an extension of the US Medicare 90-day definition. Inverse probability of treatment weighting was used to create covariate-balanced PAP adherence groups to mitigate confounding. Of 5867 patients (32% women; mean age, 62.7 years), 41% were adherent, 38% were intermediate, and 21% were nonadherent. Mean±SD number of all-cause emergency department visits (0.61±1.21 versus 0.77±1.55 [P=0.023] versus 0.95±1.90 [P<0.001]), all-cause hospitalizations (0.19±0.69 versus 0.24±0.72 [P=0.002] versus 0.34±1.16 [P<0.001]), and cardiac-related hospitalizations (0.06±0.26 versus 0.09±0.41 [P=0.023] versus 0.10±0.44 [P=0.004]) were significantly lower in adherent versus intermediate and nonadherent patients, as were all-cause inpatient costs ($2200±$8054 versus $3274±$12 065 [P=0.002] versus $4483±$16 499 [P<0.001]). All-cause emergency department costs were significantly lower in adherent and intermediate versus nonadherent patients ($499±$1229 and $563±$1292 versus $691±$1652 [P<0.001 and P=0.002], respectively). CONCLUSIONS: These data suggest clinical and economic benefits of PAP therapy in patients with concomitant OSA and atrial fibrillation. This supports the value of diagnosing and managing OSA and highlights the need for strategies to enhance PAP adherence in this population.

Impact of anemia on outcomes and resource utilization in patients with myocardial infarction: A national database analysis.

BACKGROUND: Although anemia is common in patients with myocardial infarction (MI), management remains controversial. We quantified the association of anemia with in-hospital outcomes and resource utilization in patients admitted with MI using a large national database. METHODS: All hospitalizations with a primary diagnosis code for acute MI in the National Inpatient Sample (NIS) between 2014 and 2018 were identified. Among these hospitalizations, patients with anemia were identified using a secondary diagnosis code. Data on demographic and clinical variables were collected. Outcomes of interest included in-hospital adverse events, length of stay (LOS), and total cost. Multivariable logistic regression and generalized linear models were used to evaluate the relationship between anemia and outcomes. RESULTS: Among 1,113,181 MI hospitalizations, 254,816 (22.8%) included concomitant anemia. Anemic patients were older and more likely to be women. After adjustment for demographics and comorbidities, anemia was associated with higher mortality (7.1 vs. 4.3%; odds ratio 1.09; 95% confidence interval [CI] 1.07-1.12, p < 0.001). Anemia was also associated with a mean of 2.71 days longer LOS (average marginal effects [AME] 2.71; 95% CI 2.68-2.73, p < 0.05), and $ 9703 mean higher total costs (AME $9703, 95% CI $9577-$9829, p < 0.05). Anemic patients who received blood transfusions had higher mortality as compared with those who did not (8.2% vs. 7.0, p < 0.001). CONCLUSION: In MI patients, anemia was associated with higher in-hospital mortality, adverse events, total cost, and length of stay. Transfusion was associated with increased mortality, and its role in MI requires further research.

The Clinical Utility of a Tiered Approach to Pediatric Glioma Molecular Characterization for Resource-Limited Settings.

PURPOSE: Molecular characterization is key to optimally diagnose and manage cancer. The complexity and cost of routine genomic analysis have unfortunately limited its use and denied many patients access to precision medicine. A possible solution is to rationalize use-creating a tiered approach to testing which uses inexpensive techniques for most patients and limits expensive testing to patients with the highest needs. Here, we tested the utility of this approach to molecularly characterize pediatric glioma in a cost- and time-sensitive manner. METHODS: We used a tiered testing pipeline of immunohistochemistry (IHC), customized fusion panels or fluorescence in situ hybridization (FISH), and targeted RNA sequencing in pediatric gliomas. Two distinct diagnostic algorithms were used for low- and high-grade gliomas (LGGs and HGGs). The percentage of driver alterations identified, associated testing costs, and turnaround time (TAT) are reported. RESULTS: The tiered approach successfully characterized 96% (95 of 99) of gliomas. For 82 LGGs, IHC, targeted fusion panel or FISH, and targeted RNA sequencing solved 35% (29 of 82), 29% (24 of 82), and 30% (25 of 82) of cases, respectively. A total of 64% (53 of 82) of samples were characterized without targeted RNA sequencing. Of 17 HGG samples, 13 were characterized by IHC and four were characterized by targeted RNA sequencing. The average cost per sample was more affordable when using the tiered approach as compared with up-front targeted RNA sequencing in LGG ($405 US dollars [USD] v $745 USD) and HGGs ($282 USD v $745 USD). The average TAT per sample was also shorter using the tiered approach (10 days for LGG, 5 days for HGG v 14 days for targeted RNA sequencing). CONCLUSION: Our tiered approach molecularly characterized 96% of samples in a cost- and time-sensitive manner. Such an approach may be feasible in neuro-oncology centers worldwide, particularly in resource-limited settings.