{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01993391,0.0003779258,0.0006612618,0.0009975956,0.007592848,0.002942929,0.001826877,0.001667421,0.002654523],"category_scores_gemma":[0.02750201,0.0006763883,0.0004867741,0.001299947,0.006134247,0.003527675,0.005202095,0.00254395,0.0002064471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005360707,"about_ca_system_score_gemma":0.006590038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009266376,"about_ca_topic_score_gemma":0.01452308,"domain_scores_codex":[0.9870753,0.01018277,0.0003927648,0.0004630528,0.0005978096,0.001288406],"domain_scores_gemma":[0.9661773,0.02776401,0.001807241,0.0005690978,0.001569715,0.002112608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002738788,0.00004381816,0.003912378,0.0001809603,0.000005849229,0.0006967471,0.9898639,0.00004091483,0.0004035943,0.0006930475,0.0003620968,0.003769247],"study_design_scores_gemma":[0.000003069943,0.00004050106,0.001140664,0.0001443637,0.000003013691,0.0001817322,0.9958867,0.00006397497,0.0001250433,0.000092099,0.002311225,0.000007545311],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914956,0.000665188,0.001793243,0.002592254,0.00004028538,0.0002834978,0.0001425715,0.00001304041,0.002974317],"genre_scores_gemma":[0.9957789,0.0009218472,0.0009226348,0.00102867,0.00001609886,0.0003535709,0.00004221502,0.00001392409,0.0009221638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01993391,"threshold_uncertainty_score":0.1054218,"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."}}