{"id":"W3197313070","doi":"10.12927/hcpol.2021.26576","title":"Telehealth in Primary Healthcare: A Portrait of its Rapid Implementation during the COVID-19 Pandemic","year":2021,"lang":"en","type":"article","venue":"Healthcare policy","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; The Quebec Population Health Research Network; McGill University; Université de Sherbrooke; Université du Québec à Montréal; McGill University Health Centre; Université Laval; Université de Montréal","funders":"Canadian Institutes of Health Research; Université de Sherbrooke","keywords":"Telehealth; Pandemic; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Telemedicine; Health care; Primary care; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Nursing; Medicine; Medical emergency; Family medicine; Political science; Virology; Disease","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001523274,0.0001080865,0.00009490973,0.0006126988,0.001188532,0.001560926,0.0003324908,0.0007802801,0.001816783],"category_scores_gemma":[0.002379656,0.0001137489,0.0001670287,0.001111032,0.001305379,0.0008538434,0.0006731886,0.0009041047,0.0001091668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006707087,"about_ca_system_score_gemma":0.006313305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3830616,"about_ca_topic_score_gemma":0.5369752,"domain_scores_codex":[0.9991587,0.0002803343,0.00002752879,0.00006010347,0.0002286224,0.0002447615],"domain_scores_gemma":[0.9981838,0.0004294916,0.0003445072,0.00006626243,0.0006613601,0.0003145713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002120519,0.000272301,0.6742888,0.001432066,0.00006100818,0.002509984,0.06210012,0.001445615,0.005173978,0.006633564,0.02049569,0.2253749],"study_design_scores_gemma":[0.00000620234,0.0001449264,0.965596,0.0002333509,0.000008853865,0.0004815556,0.0144392,0.0002324516,0.0001642471,0.0001520414,0.01852902,0.00001223337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9036771,0.01142377,0.001544169,0.04808138,0.0002859952,0.0001535873,0.0007335591,0.00005339464,0.03404688],"genre_scores_gemma":[0.9925587,0.003926572,0.0006366277,0.001695365,0.0001081652,0.00002866245,0.00008245858,0.00000357946,0.000959922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3830616,"threshold_uncertainty_score":0.7616639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0876367647791116,"score_gpt":0.4401352391986375,"score_spread":0.3524984744195259,"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."}}