{"doi":"10.1177/26350106221100536","title":"Feasibility and Performance of Hemoglobin A1C Self-Testing During COVID-19 Among African Americans With Type 2 Diabetes","abstract":"PURPOSE: The purpose of the study was to determine the feasibility of implementing A1C self-testing at home using the A1CNow® Self Check and to compare the accuracy of the A1CNow to a reference standard in African Americans with type 2 diabetes (T2D). METHODS: African American adults with T2D were recruited from 13 different churches (N = 123). Phase 1, conducted during the early phase of the COVID-19 pandemic, examined the feasibility of A1C assessment using the A1CNow performed at home by untrained participants. Phase 2, conducted when in-person research resumed, compared A1C values concurrently measured using the A1CNow and the DCA Vantage™ Analyzer (reference standard) collected by research staff at church testing sites. RESULTS: In Phase 1, 98.8% of participants successfully completed at least 1 at-home A1C test; the overall failure rate was 24.7%. In Phase 2, the failure rate of staff-performed A1CNow testing was 4.4%. The Bland-Altman plot reveals that A1CNow values were 0.68% lower than DCA values, and the mean differences (A1CNow minus DCA) ranged from -2.6% to 1.2% with a limit of agreement between -1.9% to 0.5%. CONCLUSIONS: A1C self-testing is feasible for use in community settings involving African American adults with T2D. The A1CNow Self-Check underestimated A1C values when compared with the reference standard. Ongoing improvements in point-of-care devices have the potential to expand research and clinical care, especially in underserved communities.","journal":"The Science of Diabetes Self-Management and Care","year":2022,"id":262050,"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":14,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.944,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":917320,"name":"Erum Z. Whyne","orcid":"0000-0003-4950-4405","position":1,"is_corresponding":false},{"id":917321,"name":"Jaylen I. Wright","orcid":"0000-0003-2325-7602","position":2,"is_corresponding":false},{"id":743369,"name":"H. Matthew Lehrer","orcid":"0000-0003-0239-5037","position":3,"is_corresponding":false},{"id":917322,"name":"Taha Alhalimi","orcid":"0000-0002-4939-4149","position":4,"is_corresponding":false},{"id":917323,"name":"Tianyu Wang","orcid":"0000-0003-0388-326X","position":5,"is_corresponding":false},{"id":630758,"name":"Victoria C. Saba","orcid":"0000-0002-0232-3386","position":6,"is_corresponding":false},{"id":917324,"name":"Susan K. Dubois","orcid":"0000-0003-1188-4377","position":7,"is_corresponding":false},{"id":350069,"name":"Hirofumi Tanaka","orcid":"0000-0002-1780-7471","position":8,"is_corresponding":false},{"id":912326,"name":"Sharon A. Brown","orcid":"0000-0001-7325-9599","position":9,"is_corresponding":false},{"id":917325,"name":"M Steinhardt","orcid":"0000-0003-3203-7054","position":10,"is_corresponding":false},{"id":917319,"name":"Jihun Woo","orcid":"0000-0003-3281-6269","position":0,"is_corresponding":true}],"reference_count":20,"raw_metadata":null,"created_at":"2026-07-19T00:26:20.717229Z","pmid":"35658748","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":[]}