{"id":"W4220866218","doi":"10.2196/32791","title":"The Successes and Challenges of Implementing Telehealth for Diverse Patient Populations Requiring Prenatal Care During COVID-19: Qualitative Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Human Genome Research Institute","keywords":"Telehealth; Pandemic; Prenatal care; Pregnancy; Medicine; Telemedicine; Qualitative research; Health care; Nursing; Family medicine; Coronavirus disease 2019 (COVID-19); Medical emergency; Population; Disease; Environmental health; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00184399,0.0001180796,0.0002616225,0.000224564,0.001611998,0.00003254888,0.00008015197,0.00003277756,0.00002150156],"category_scores_gemma":[0.001092686,0.00008605795,0.00004518773,0.0003649633,0.0001544951,0.0002567872,0.0002568874,0.0002456951,7.648114e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002801637,"about_ca_system_score_gemma":0.0005219469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005440401,"about_ca_topic_score_gemma":0.002480804,"domain_scores_codex":[0.9971808,0.000625906,0.0006235933,0.0002601257,0.0007428777,0.000566707],"domain_scores_gemma":[0.9969686,0.001222553,0.000230746,0.0002373959,0.001079652,0.0002610405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004403906,0.0002817737,0.01645354,0.00708362,0.0001093185,0.00001639052,0.9211673,0.000001690543,0.00009588422,0.005362475,0.0002774873,0.04871017],"study_design_scores_gemma":[0.003165841,0.002148602,0.06149529,0.0001160191,0.00002519836,0.0000138976,0.9285673,0.00002623103,0.001296689,0.0004217617,0.002650941,0.00007215895],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889741,0.002568232,0.00009483693,0.005124967,0.00005488356,0.002826658,0.0001286317,0.00002309561,0.0002046304],"genre_scores_gemma":[0.9982149,0.0005835944,0.000251176,0.00004482116,0.00006596378,0.0006837285,0.0001226892,0.00001437113,0.00001875155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04863801,"threshold_uncertainty_score":0.9996878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2452668031323306,"score_gpt":0.5581974499213714,"score_spread":0.3129306467890408,"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."}}