{"id":"W4211112100","doi":"10.2196/32933","title":"Patient Perspectives of Inpatient Telemedicine During the COVID-19 Pandemic: Qualitative Assessment","year":2022,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Medicine; Pandemic; Thematic analysis; Qualitative research; Health care; Patient experience; Anxiety; Inpatient care; Medical emergency; Personal protective equipment; Coronavirus disease 2019 (COVID-19); Family medicine; Nursing; Psychiatry; Infectious disease (medical specialty); 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004528115,0.0001643689,0.0003777383,0.0006064888,0.001139018,0.00001051633,0.0002014531,0.00003373112,0.001770875],"category_scores_gemma":[0.0005152815,0.0001078846,0.00009323488,0.001222492,0.0004979421,0.0001444356,0.0004226401,0.001227431,0.000006731919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002132297,"about_ca_system_score_gemma":0.0009876033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004923054,"about_ca_topic_score_gemma":0.00003072408,"domain_scores_codex":[0.9937507,0.001962174,0.0008142535,0.0002986237,0.002577187,0.000597087],"domain_scores_gemma":[0.9970658,0.001258372,0.0003576555,0.0003872819,0.0005945081,0.0003363377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001003125,0.0009421806,0.05149753,0.0007619843,0.0001717712,0.00002820419,0.9187368,0.00002783295,0.001359656,0.002666014,0.01551677,0.00728815],"study_design_scores_gemma":[0.003867267,0.00698255,0.09151614,0.00003581651,0.0000190724,0.0001288024,0.8623788,0.0001198109,0.000245422,0.0004887719,0.0341098,0.0001077134],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833989,0.0002956029,0.0002629358,0.01133063,0.00009408363,0.002697142,0.0001402439,0.00004683806,0.001733615],"genre_scores_gemma":[0.9966267,0.000110114,0.000148021,0.0009497613,0.00008569029,0.001754625,0.0001188576,0.0000201756,0.000185993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05635795,"threshold_uncertainty_score":0.9991416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1608079003927588,"score_gpt":0.5549770974444945,"score_spread":0.3941691970517358,"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."}}