Non-oncological gynecological diagnoses in a women’s health care service during the pandemic caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS- CoV-2).
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Cross-sectional study carried out at an Outpatient Gynecology Clinic of the Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Brazil. Sample corresponds medical consultations performed in the periods grouped in “pre-pandemic” and during the pandemic. The number of total visits, prevalence of non-oncological gynecological diagnoses and clinical-demographic data were analyzed' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Gynecology, climacteric, pandemic, SARS-CoV-2, Ambulatory care, Health services use, Women’s health, Health care levels"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Cross-sectional study carried out at an Outpatient Gynecology Clinic of the Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Brazil. Sample corresponds medical consultations performed in the periods grouped in “pre-pandemic” and during the pandemic. The number of total visits, prevalence of non-oncological gynecological diagnoses and clinical-demographic data were analyzed' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Cross-sectional study carried out at an Outpatient Gynecology Clinic of the Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Brazil. Sample corresponds medical consultations performed in the periods grouped in “pre-pandemic” and during the pandemic. The number of total visits, prevalence of non-oncological gynecological diagnoses and clinical-demographic data were analyzed
Gynecology, climacteric, pandemic, SARS-CoV-2, Ambulatory care, Health services use, Women’s health, Health care levels