{"doi":"10.1111/1475-6773.13596","title":"Disruptions in preventive care: Mammograms during the COVID‐19 pandemic","abstract":"OBJECTIVE: To measure the extent to which the provision of mammograms was impacted by the COVID-19 pandemic and surrounding guidelines. DATA SOURCES: De-identified summary data derived from medical claims and eligibility files were provided by Independence Blue Cross for women receiving mammograms. STUDY DESIGN: We used a difference-in-differences approach to characterize the change in mammograms performed over time and a queueing formula to estimate the time to clear the queue of missed mammograms. DATA COLLECTION: We used data from the first 30 weeks of each year from 2018 to 2020. PRINCIPAL FINDINGS: Over the 20 weeks following March 11, 2020, the volume of screening mammograms and diagnostic mammograms fell by 58% and 38% of expected levels, on average. Lowest volumes were observed in week 15 (April 8 to 14), when screening and diagnostic mammograms fell by 99% and 74%, respectively. Volumes began to rebound in week 19 (May), with diagnostic mammograms reaching levels to similar to previous years' and screening mammograms remaining 14% below expectations. We estimate it will take a minimum of 22 weeks to clear the queue of missed mammograms in our study sample. CONCLUSIONS: The provision of mammograms has been significantly disrupted due to the COVID-19 pandemic.","journal":"Health Services Research","year":2020,"id":54213,"datarank":7.775594381417034,"base_score":4.68213122712422,"endowment":4.68213122712422,"self_citation_contribution":0.7023196840686331,"citation_network_contribution":7.073274697348401,"self_endowment_contribution":0.7023196840686331,"citer_contribution":7.073274697348401,"corpus_percentile":97.80304788427323,"corpus_rank":285,"citation_count":107,"citer_count":100,"citers_with_citation_signal":85,"citers_with_endowment":85,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.6311,"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":278041,"name":"Alon Bergman","orcid":"0000-0003-4228-8543","position":1,"is_corresponding":false},{"id":278042,"name":"Angela T. Chen","orcid":"0000-0002-8418-1835","position":2,"is_corresponding":false},{"id":278043,"name":"Dan Ellis","orcid":"0000-0003-3410-7503","position":3,"is_corresponding":false},{"id":278044,"name":"Guy David","orcid":"0000-0001-9191-741X","position":4,"is_corresponding":false},{"id":278045,"name":"Ari B. Friedman","orcid":"0000-0003-0412-6754","position":5,"is_corresponding":false},{"id":278046,"name":"Amelia M. Bond","orcid":"0000-0002-5722-3227","position":6,"is_corresponding":false},{"id":279993,"name":"Julie M. Bailey","orcid":null,"position":7,"is_corresponding":false},{"id":278047,"name":"Ronald J. Brooks","orcid":"0000-0002-6871-4697","position":8,"is_corresponding":false},{"id":279994,"name":"Aaron Smith–McLallen","orcid":null,"position":9,"is_corresponding":false},{"id":278040,"name":"Hummy Song","orcid":"0000-0003-1335-9314","position":0,"is_corresponding":true}],"reference_count":13,"raw_metadata":null,"created_at":"2026-07-18T21:03:43.037640Z","pmid":"33146429","pmcid":"PMC7839639","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":[]}