{"id":"W4309159258","doi":"10.2196/38821","title":"Impact of Telehealth on the Delivery of Prenatal Care During the COVID-19 Pandemic: Mixed Methods Study of the Barriers and Opportunities to Improve Health Care Communication in Discussions About Pregnancy and Prenatal Genetic Testing","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telehealth; Thematic analysis; Prenatal care; Pandemic; Medicine; Pregnancy; Health care; Nursing; Telemedicine; Qualitative research; Family medicine; Coronavirus disease 2019 (COVID-19); Psychology; Population; Environmental health; Disease","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03086662,0.0004348097,0.0007226067,0.001550349,0.00262678,0.00325038,0.001252438,0.0010072,0.002549717],"category_scores_gemma":[0.03862797,0.0007068898,0.0008838986,0.002019555,0.002187912,0.003045134,0.003083735,0.001053197,0.000155782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003162171,"about_ca_system_score_gemma":0.004612481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005536217,"about_ca_topic_score_gemma":0.01020089,"domain_scores_codex":[0.9748322,0.02058842,0.001175556,0.0008168807,0.00132701,0.001259926],"domain_scores_gemma":[0.9519379,0.04070246,0.003445797,0.00108714,0.002007998,0.0008186307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000584283,0.001386404,0.1174775,0.002123842,0.0002279159,0.0008297687,0.8080046,0.0001868168,0.0009155737,0.001231286,0.0006243283,0.06640754],"study_design_scores_gemma":[0.0001136928,0.002542853,0.08133092,0.002054324,0.0001856601,0.0006116936,0.9065971,0.0009090987,0.001028358,0.0006662814,0.003880543,0.00007945601],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957762,0.0006990096,0.00113912,0.0004311743,0.00001759074,0.0006594702,0.0001313462,0.000004033058,0.001142072],"genre_scores_gemma":[0.9941394,0.001139028,0.002263556,0.0004327465,0.00002487776,0.00147223,0.00007114922,0.000008884011,0.0004482375],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03086662,"threshold_uncertainty_score":0.1632403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1639632768821431,"score_gpt":0.5125101915131939,"score_spread":0.3485469146310508,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}