{"id":"W3159915572","doi":"10.1136/bmjqs-2020-012709","title":"Effects of a refined evidence-based toolkit and mentored implementation on medication reconciliation at 18 hospitals: results of the MARQUIS2 study","year":2021,"lang":"en","type":"article","venue":"BMJ Quality & Safety","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Research Resources; National Center for Advancing Translational Sciences; Agency for Healthcare Research and Quality; Mallinckrodt Pharmaceuticals; U.S. Department of Veterans Affairs","keywords":"Medicine; Psychological intervention; Poisson regression; Emergency medicine; Interrupted Time Series Analysis; Interrupted time series; Rate ratio; Quality management; Patient safety; Receipt; Intervention (counseling); Medication Reconciliation; Pharmacy; Pediatrics; Confidence interval; Family medicine; Health care; Internal medicine; Nursing; Operations management; Pharmacist; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003137247,0.0001081649,0.0003138309,0.0000328887,0.00007269769,0.000006475982,0.0000651513,0.00005072235,0.000096167],"category_scores_gemma":[0.006487257,0.00007513561,0.00008835024,0.0002079475,0.00005679967,0.0001295816,0.0000676516,0.0001078333,0.000002469647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001741928,"about_ca_system_score_gemma":0.0002218796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002207639,"about_ca_topic_score_gemma":0.0001022511,"domain_scores_codex":[0.9967001,0.001149797,0.00106857,0.0002622542,0.0007036657,0.0001156314],"domain_scores_gemma":[0.9953488,0.003256593,0.000724223,0.0003693984,0.0002291277,0.00007193011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02241221,0.001928188,0.8665,0.002808549,0.0005123201,0.00001166005,0.005108203,0.00001862948,0.05341677,0.0003925059,0.002882716,0.04400828],"study_design_scores_gemma":[0.008163875,0.0008729829,0.9300513,0.000453408,0.000369166,9.08628e-7,0.0009651323,0.0001608783,0.05792715,0.00003651367,0.0009178682,0.00008080622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826725,0.0002828292,0.00004649529,0.01449531,0.0002044276,0.001962475,0.00004569096,0.00001247175,0.0002778599],"genre_scores_gemma":[0.9984059,0.0001485998,0.0001212211,0.0009651893,0.00003845658,0.00004582332,0.00008570967,0.00000667654,0.000182413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06355134,"threshold_uncertainty_score":0.7766321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2238978336256375,"score_gpt":0.5097219914651067,"score_spread":0.2858241578394691,"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."}}