{"doi":"10.17615/c9jx-2z71","title":"Patterns of black and white hysterectomy incidence among reproductive aged women","abstract":"Objective: To investigate the intersection of race and economic context in treatment with hysterectomy among reproductive aged women with noncancerous gynecologic conditions. Data Sources: We combined administrative billing records of inpatient and outpatient hysterectomy procedures (N = 28 301) occurring in North Carolina between 2011 and 2014 with census data to calculate county-level hysterectomy rates. Study Design: Spatial analysis techniques examined the distribution of black and white hysterectomy rates across counties, and county-level black and white rate differences were compared across economic contexts. Data Collection/Extraction: We restricted to those of premenopausal age identifying as non-Hispanic black or white, undergoing hysterectomy for nonemergent causes (N = 28 301 procedures). Principal Findings: County-level hysterectomy rates were spatially patterned (Moran's I, P <.05) and similarly so for black and white women (LISA, P <.005). The black-white difference in hysterectomy rates was the largest in the high economic tier counties (22/10 000 person-years [PY], P <.05) and smallest in the mid and low economic tier counties (11/10 000 PY, P >.05 and 10/10 000 PY, P >.05, respectively). Conclusion: Socioeconomic context is important to understand, particularly for black-white disparities in hysterectomy. Efforts should be made to understand the causes of higher rates of hysterectomy among blacks than whites, especially in counties in the highest economic tier.","journal":"UNC Libraries","year":2024,"id":498908,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":0.0,"corpus_rank":10062,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.5213,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":650314,"name":"Danielle R. Gartner","orcid":"0000-0002-0152-8961","position":1,"is_corresponding":false},{"id":334889,"name":"Robert A. Hummer","orcid":"0000-0003-3058-6383","position":2,"is_corresponding":false},{"id":387620,"name":"Jennifer L. Lund","orcid":"0000-0002-1108-0689","position":3,"is_corresponding":false},{"id":6027,"name":"Brian W. Pence","orcid":"0000-0001-7321-9538","position":4,"is_corresponding":false},{"id":421984,"name":"Paul L. Delamater","orcid":"0000-0003-3627-9739","position":5,"is_corresponding":false},{"id":1346539,"name":"W.R. Robinson","orcid":null,"position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":null,"created_at":"2026-07-19T02:09:45.971055Z","pmid":null,"pmcid":null,"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":[]}