You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["HealthCareActivity", "InjuryOrPoisoning", "BodySubstance", "IntellectualProduct", "AnatomicalStructure", "SpatialConcept", "Chemical", "Bacterium", "MedicalDevice", "Organization", "BiomedicalOccupationOrDiscipline", "Finding", "BiologicFunction", "Virus", "ResearchActivity", "ClinicalAttribute", "PopulationGroup", "Eukaryote", "BodySystem", "Food", "ProfessionalOrOccupationalGroup"].

Please return the output as a JSON object of the format: {"Virus": ["HIV", ...], "Bacterium": ["MRSA", ...], "AnatomicalStructure": ["Lung", ...], "BodySystem": ["CNS", ...], "BodySubstance": ["Serum", ...], "Finding": ["Headache", ...], "InjuryOrPoisoning": ["Fracture", ...], "BiologicFunction": ["Death", ...], "HealthCareActivity": ["Biopsy", ...], "ResearchActivity": ["Clinical trial", ...], "MedicalDevice": ["Lenses", ...], "SpatialConcept": ["Camps", ...], "BiomedicalOccupationOrDiscipline": ["Forensic medicine", ...], "Organization": ["WHO", ...], "ProfessionalOrOccupationalGroup": ["Provider", ...], "PopulationGroup": ["Swimmers", ...], "Chemical": ["Gold", ...], "Food": ["Rice", ...], "IntellectualProduct": ["RPAM", ...], "ClinicalAttribute": ["Biomarker", ...], "Eukaryote": ["Dogs", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Medicare claims indicators of healthcare utilization differences after hospitalization for ischemic stroke: Race, gender, and caregiving effects Background Differences in healthcare utilization after stroke may partly explain race or gender differences in stroke outcomes and identify factors that might reduce post - acute stroke care costs. Aim To examine systematic differences in Medicare claims for healthcare utilization after hospitalization for ischemic stroke in a US population -based sample. Methods Claims were examined over a six-month period after hospitalization for 279 ischemic stroke survivors 65 years or older from the REasons for Geographic And Racial Differences in Stroke (REGARDS) study. Statistical analyses examined differences in post - acute healthcare utilization, adjusted for pre - stroke utilization, as a function of race (African-American vs. White), gender, age, stroke belt residence, income, Medicaid dual-eligibility, Charlson comorbidity index, and whether the person lived with an available caregiver. Results After adjusting for covariates, women were more likely than men to receive home health care and to use emergency department services during the post - acute care period. These effects were maintained even after further adjustment for acute stroke severity. African-Americans had more home health care visits than Whites among patients who received some home health care. Having a co-residing caregiver was associated with reduced acute hospitalization length of stay and fewer post - acute emergency department and primary care physician visits. Conclusions Underutilization of healthcare after stroke does not appear to explain poorer long-term stroke outcomes for women and African-Americans in this epidemiologically -derived sample. Caregiver availability may contribute to reduced formal care and cost during the post - acute period.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["REGARDS", "ischemic stroke", "Stroke", "acute stroke", "stroke"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": [], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["examined"], "Food": [], "HealthCareActivity": ["emergency department services", "acute emergency department", "acute hospitalization", "acute", "hospitalization", "acute care", "healthcare", "acute healthcare", "visits"], "InjuryOrPoisoning": [], "IntellectualProduct": ["Charlson comorbidity index"], "MedicalDevice": [], "Organization": [], "PopulationGroup": ["race", "women", "Race", "population", "White", "men", "Whites", "person", "African-American", "African-Americans", "older"], "ProfessionalOrOccupationalGroup": ["Caregiver", "caregiver"], "ResearchActivity": [], "SpatialConcept": ["US", "residence", "further"], "Virus": []}