{"id":"W3148228083","doi":"10.2196/28589","title":"Patient Satisfaction and Trust in Telemedicine During the COVID-19 Pandemic: Retrospective Observational Study","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":216,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institutes of Health","keywords":"Telemedicine; Medicine; Patient satisfaction; Observational study; Family medicine; Descriptive statistics; Retrospective cohort study; Logistic regression; Ordered logit; Telehealth; Health care; Pandemic; Coronavirus disease 2019 (COVID-19); Nursing; Internal medicine; 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":[0.001408711,0.0001544765,0.000360794,0.0008674779,0.0004650448,0.0007007165,0.00033899,0.000463332,0.001375203],"category_scores_gemma":[0.004790889,0.0002598361,0.0003939005,0.001902088,0.0003791506,0.0007260252,0.0006270906,0.0008005091,0.00017357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006099281,"about_ca_system_score_gemma":0.0005282882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006888105,"about_ca_topic_score_gemma":0.006673785,"domain_scores_codex":[0.998773,0.0004378516,0.0002172962,0.0001577299,0.0002405559,0.0001735674],"domain_scores_gemma":[0.9941155,0.00110224,0.003511259,0.0002209946,0.0003871233,0.0006628061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003039649,0.00003323759,0.9994572,0.000006538226,0.00001056287,0.00002764168,0.0001084103,0.000009957347,0.00001805195,0.000003904399,0.00004408959,0.0002501002],"study_design_scores_gemma":[0.00000463119,0.0001924795,0.9985305,0.00000946942,0.00001135391,0.0002022993,0.0008098627,0.0001077577,0.00001814736,0.0000047483,0.0001053997,0.00000335863],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999238,0.00009032287,0.0000423204,0.00003216816,0.000001826329,0.00002134678,0.0003236413,0.000001668233,0.0002487384],"genre_scores_gemma":[0.9996142,0.00004440916,0.0000444145,0.00002723811,0.000003937277,0.00001845589,0.000210505,8.29484e-7,0.00003599019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006888105,"threshold_uncertainty_score":0.01369601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1292029743150371,"score_gpt":0.4122542398659436,"score_spread":0.2830512655509065,"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."}}