{"id":"W4285153188","doi":"10.20517/ch.2022.07","title":"Digital health technology and hypertension management: a qualitative analysis of patient and specialist provider preferences on data tracking","year":2022,"lang":"en","type":"article","venue":"Connected Health","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity Western University; Centre for Advancing Health Outcomes; Western University; University of British Columbia","funders":"","keywords":"Digital health; Medicine; Health literacy; Patient-reported outcome; Tracking (education); Empowerment; eHealth; Health care; Patient satisfaction; Preference; MEDLINE; Patient experience; Blood pressure; Focus group; Family medicine; Physical therapy; Quality of life (healthcare); Nursing; Psychology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003484988,0.0001211814,0.0007840072,0.0006793977,0.0003444356,0.00001454854,0.00007983045,0.00002886265,0.00002129411],"category_scores_gemma":[0.0001148427,0.00009813958,0.00002680892,0.0009686521,0.0001233779,0.00006748829,0.0004078399,0.0001888651,3.7211e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002326603,"about_ca_system_score_gemma":0.00009272982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001605742,"about_ca_topic_score_gemma":0.0001230719,"domain_scores_codex":[0.9985008,0.0001628497,0.0003990507,0.0004584232,0.0002717446,0.0002070823],"domain_scores_gemma":[0.998976,0.0001799124,0.0002612334,0.0003924926,0.00009393922,0.00009640804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001153826,0.001454531,0.01838024,0.001685976,0.006323253,0.0001037675,0.04423745,0.000010747,0.00005368773,0.0136135,0.02228419,0.8906989],"study_design_scores_gemma":[0.008881523,0.01689093,0.2141384,0.001233375,0.007128129,0.0002417764,0.5464973,0.002469979,0.00005823093,0.003026721,0.1984914,0.0009421494],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9334142,0.02543885,0.00003621921,0.03814123,0.00009445471,0.001143832,0.0007018594,0.00009536964,0.0009340511],"genre_scores_gemma":[0.993876,0.0009325261,0.0002938915,0.004513038,0.00001435535,0.00002047485,0.0002900963,0.000009364315,0.00005028442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8897567,"threshold_uncertainty_score":0.4002016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1246456019833127,"score_gpt":0.3758328764031359,"score_spread":0.2511872744198231,"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."}}