{"id":"W2808222153","doi":"10.1111/jnu.12396","title":"Effects of Individual Nurse and Hospital Characteristics on Patient Adverse Events and Quality of Care: A Multilevel Analysis","year":2018,"lang":"en","type":"article","venue":"Journal of Nursing Scholarship","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Agency for Healthcare Research and Quality; Korea Resources Corporation; Global Korean Nursing Foundation","keywords":"Patient safety; Health care; Multilevel model; Nursing; Medicine; Quality (philosophy); Adverse effect; Ordinal regression; Quality management; Ordered logit; Organizational culture; Family medicine; Accountability; Business; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.009223673,0.0004928426,0.001112325,0.001984037,0.001427924,0.001403021,0.001584079,0.0006780399,0.003377238],"category_scores_gemma":[0.0289841,0.0004090042,0.004094085,0.002466251,0.0007218964,0.001089679,0.002846053,0.001647462,0.0002359918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003232655,"about_ca_system_score_gemma":0.004857906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1250986,"about_ca_topic_score_gemma":0.1250743,"domain_scores_codex":[0.9861684,0.007044524,0.001011506,0.001855275,0.002402225,0.001518023],"domain_scores_gemma":[0.9686611,0.01402046,0.008122945,0.003254394,0.00371348,0.00222755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001330389,0.00004823154,0.9946544,0.00004749796,0.001326699,0.0000313845,0.0002962059,0.0003181176,0.00009294241,0.0001442506,0.0002602372,0.002646931],"study_design_scores_gemma":[0.00002793418,0.0003927323,0.9911919,0.00008520512,0.0008552079,0.00005338818,0.0007131546,0.00542355,0.0002047937,0.0003439007,0.0006778567,0.00003030122],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891338,0.000738668,0.006233321,0.0006112108,0.0000402902,0.0001664379,0.001974667,0.00004242056,0.001059179],"genre_scores_gemma":[0.996601,0.00009770135,0.00210123,0.00008582351,0.00001345104,0.0001325874,0.0006759277,0.00001181507,0.0002805339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1250986,"threshold_uncertainty_score":0.2487408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07221428155555344,"score_gpt":0.4420300126599359,"score_spread":0.3698157311043824,"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."}}