{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02069075,0.0004234722,0.0006269956,0.001306359,0.004247413,0.003109665,0.001150304,0.001464399,0.003424868],"category_scores_gemma":[0.03395014,0.0005044612,0.0005374372,0.001261822,0.004600674,0.00331687,0.004874758,0.002646542,0.0002602919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004907284,"about_ca_system_score_gemma":0.005339638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007426809,"about_ca_topic_score_gemma":0.008163616,"domain_scores_codex":[0.9818026,0.01433842,0.0005417012,0.0006482023,0.001045739,0.001623328],"domain_scores_gemma":[0.9517123,0.04114823,0.002164001,0.000591321,0.002524896,0.001859234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006197763,0.00004053905,0.004460973,0.0001793942,0.000007457903,0.0002900685,0.9892493,0.00003210654,0.0005313146,0.0005153355,0.0004083489,0.004223144],"study_design_scores_gemma":[0.00001241819,0.00007609189,0.002270084,0.0001581063,0.000008036219,0.0001768317,0.9926082,0.0001461322,0.0002766468,0.0002535313,0.003995403,0.00001852148],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918504,0.0003853149,0.002210633,0.002754408,0.00004453937,0.0002039462,0.0002597747,0.00001388444,0.002276904],"genre_scores_gemma":[0.9954723,0.0003719066,0.001187414,0.001432166,0.00001889677,0.0003180478,0.00008844122,0.00002060119,0.001090355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02069075,"threshold_uncertainty_score":0.1094245,"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."}}