{"doi":"10.1002/rcs.2107","title":"Association of demographic, clinical, and hospital‐related factors with use of robotic hysterectomy for benign indications: A national database study","abstract":"BACKGROUND: We examined the association of patient factors, gynecologic diagnoses, and hospital characteristics with utilization of the robotic approach for benign hysterectomy. METHODS: We performed cross-sectional study of women (n = 725 050) undergoing hysterectomies in the 2012 to 2014 National Inpatient Sample. RESULTS: A total of 725 050 women underwent inpatient hysterectomy for benign indications: 70345 (10%) were performed robotically. Women were more likely to receive robotic hysterectomy at teaching hospitals (RR 1.60 [95% CI 1.54-1.66]) after adjustment for other patient factors, gynecologic diagnoses, and hospital characteristics. They were more likely to undergo robotic hysterectomy at large (RR 1.34 [95% CI 1.29-1.39]) and for-profit hospitals (RR 1.16 [95% CI 1.11-1.22]). Women were less likely to undergo robotic hysterectomy if they were rural (RR 0.68 [95% CI 0.64-0.72]), African-American (RR 0.78 [95% CI 0.74-0.82]), or publicly insured or uninsured (RR 0.55 [95% CI 0.53-0.57]) women. CONCLUSION: Significant geographic and hospital-level disparities exist in access to robotic hysterectomy in the United States.","journal":"International Journal of Medical Robotics and Computer Assisted Surgery","year":2020,"id":77874,"datarank":1.1320289054735295,"base_score":2.9444389791664403,"endowment":2.9444389791664403,"self_citation_contribution":0.44166584687496613,"citation_network_contribution":0.6903630585985634,"self_endowment_contribution":0.44166584687496613,"citer_contribution":0.6903630585985634,"corpus_percentile":81.92929527345865,"corpus_rank":2337,"citation_count":18,"citer_count":14,"citers_with_citation_signal":12,"citers_with_endowment":12,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.5493,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":405225,"name":"Abdelrahman AlAshqar","orcid":"0000-0002-1283-7460","position":1,"is_corresponding":false},{"id":406034,"name":"Kate F. Chaves","orcid":null,"position":2,"is_corresponding":false},{"id":405226,"name":"Mostafa A. Borahay","orcid":"0000-0002-0554-132X","position":3,"is_corresponding":false},{"id":405224,"name":"Anna Jo Bodurtha Smith","orcid":"0000-0002-7692-773X","position":0,"is_corresponding":true}],"reference_count":30,"raw_metadata":null,"created_at":"2026-07-18T21:49:16.197289Z","pmid":"32276286","pmcid":"PMC9206512","fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}