{"id":"W2290500397","doi":"10.1186/s13063-016-1244-1","title":"Using a tailored health information technology- driven intervention to improve health literacy and medication adherence in a Pakistani population with vascular disease (Talking Rx) – study protocol for a randomized controlled trial","year":2016,"lang":"en","type":"article","venue":"Trials","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fogarty International Center; American Diabetes Association; American Heart Association; Grand Challenges Canada; U.S. Department of Veterans Affairs; National Institutes of Health","keywords":"Medicine; Randomized controlled trial; Intervention (counseling); Alternative medicine; Health literacy; Protocol (science); Disease; Family medicine; Population; Physical therapy; Literacy; Health care; Nursing; Internal medicine; Pathology; Environmental health","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0224127,0.004916553,0.01048722,0.001883682,0.002546414,0.003549096,0.003199606,0.006756279,0.05729538],"category_scores_gemma":[0.01908256,0.002558335,0.005338755,0.002279204,0.002686189,0.003338642,0.001724945,0.006097105,0.009808794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00320205,"about_ca_system_score_gemma":0.01141367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002403515,"about_ca_topic_score_gemma":0.004924073,"domain_scores_codex":[0.9866936,0.007454995,0.001641418,0.001287085,0.001306217,0.001616708],"domain_scores_gemma":[0.9927526,0.001934038,0.001656382,0.000846166,0.001662065,0.001148854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9201574,0.02303755,0.0006991564,0.01690588,0.002259476,0.0002078631,0.0003583897,0.001216941,0.001553909,0.001924873,0.009064304,0.02261435],"study_design_scores_gemma":[0.956583,0.02936513,0.001368941,0.001611105,0.0006831693,0.00002774147,0.00008685945,0.0008407719,0.0003789551,0.0009232708,0.008078776,0.00005230566],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.002243951,0.0001475794,0.0005191284,0.0001130135,0.000192612,0.9956945,0.0006430921,0.00005017645,0.0003959671],"genre_scores_gemma":[0.002001969,0.00009459099,0.001240146,0.0001347484,0.00003797921,0.9960757,0.0001033905,0.000003276566,0.0003081309],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.05729538,"threshold_uncertainty_score":0.1916721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08334706578985895,"score_gpt":0.5310173744438585,"score_spread":0.4476703086539996,"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."}}