{"doi":"10.2105/ajph.2024.307574","title":"Determinants of Staff Intent to Leave Health Care During the COVID-19 Pandemic","abstract":"Objectives. To identify potential drivers of health care worker attrition. Methods. We conducted a survey of 1083 nonphysician health care workers in a large urban health system in New York City from September to October 2022. Results. The results of a multivariable logistic regression analysis revealed that higher odds of intending to leave health care were significantly associated with male gender, registered nurse profession, burnout, self-perceived mental health service need, and verbal abuse from patients or visitors, whereas lower odds were seen among those reporting greater emotional well-being and a better workplace culture. A relative importance analysis indicated that burnout was the strongest correlate of intention to leave (22.5% relative variance explained [RVE]), followed by subjective emotional well-being (16.7% RVE), being a registered nurse (12.3% RVE), poorer perceived workplace culture (9.5% RVE), and male gender (5.9% RVE). Conclusions. Overall, our findings suggest the need for well-coordinated interventions that address both individual- and system-level factors in an effort to improve retention. Public Health Implications. Our results indicate a need for interventions targeting workplace culture, staff burnout, and mental health service provision. ( Am J Public Health. 2024;114(S2):S200–S203. https://doi.org/10.2105/AJPH.2024.307574 )","journal":"American Journal of Public Health","year":2024,"id":463635,"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":null,"corpus_rank":null,"citation_count":5,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9514,"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":1294021,"name":"Chi Chuen Chan","orcid":"0000-0001-7861-7316","position":1,"is_corresponding":false},{"id":687779,"name":"Nihal Mohamed","orcid":"0000-0003-0509-6833","position":2,"is_corresponding":false},{"id":1090796,"name":"Sydney Starkweather","orcid":"0000-0003-3776-1164","position":3,"is_corresponding":false},{"id":763269,"name":"Jonathan Ripp","orcid":"0000-0001-8681-0095","position":4,"is_corresponding":false},{"id":1078703,"name":"Lauren Peccoralo","orcid":"0000-0002-7233-1381","position":5,"is_corresponding":false},{"id":577319,"name":"Jonathan DePierro","orcid":"0000-0002-6883-5026","position":0,"is_corresponding":true}],"reference_count":10,"raw_metadata":null,"created_at":"2026-07-19T02:04:33.257852Z","pmid":"38354356","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":[]}