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:

Barriers and facilitators to smoking cessation in a cancer context: A qualitative study of patient, family and professional views Continued smoking after cancer adversely affects quality of life and survival, but one fifth of cancer survivors still smoke. Despite its demands, cancer presents an opportunity for positive behaviour change. Smoking often occurs in social groups, therefore interventions which target families and individuals may be more successful. This qualitative study explored patients, family members and health professionals ' views and experiences of smoking and smoking cessation after cancer, in order to inform future interventions. In-depth qualitative interviews (n = 67) with 29 patients, 14 family members and 24 health professionals. Data were analysed using the 'Framework' method. Few patient s and family members had used National Health Service (NHS) smoking cessation services and more than half still smoked. Most recalled little ' smoking -related' discussion with clinicians but were receptive to talking openly. Clinicians revealed several barriers to discussion. Participants ' continued smoking was explained by the stress of diagnosis; desire to maintain personal control; and lack of connection between smoking, cancer and health. A range of barriers to smoking cessation exist for patients and family members. These are insufficiently assessed and considered by clinicians. Interventions must be more effectively integrated into routine practice.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["experiences", "cancer", "adversely affects"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": [], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["stress", "quality of life", "positive"], "Food": [], "HealthCareActivity": ["Interventions", "National Health Service", "services", "diagnosis", "interventions", "NHS", "discussion"], "InjuryOrPoisoning": [], "IntellectualProduct": [], "MedicalDevice": [], "Organization": [], "PopulationGroup": ["social groups", "individuals", "Participants"], "ProfessionalOrOccupationalGroup": ["Clinicians", "professional", "clinicians", "health professionals"], "ResearchActivity": ["qualitative study"], "SpatialConcept": [], "Virus": []}