{"id":"W2075949563","doi":"10.1016/j.jclinepi.2013.05.018","title":"Measuring quality of care: considering measurement frameworks and needs assessment to guide quality indicator development","year":2013,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":155,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital; University of Calgary","funders":"Canadian Institutes of Health Research; Alberta Innovates","keywords":"Stakeholder; Quality (philosophy); Conceptual framework; Process management; Quality management; Health care; Process (computing); Conceptual model; Medicine; Management science; Risk analysis (engineering); Computer science; Knowledge management; Business; Operations management; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.08193672,0.0001799027,0.002418805,0.0002150664,0.0002257889,0.00000105974,0.0002895976,0.0007762416,0.0002073627],"category_scores_gemma":[0.1455581,0.0001355179,0.0002545419,0.0001462172,0.0002170711,0.0001120622,0.0002112162,0.002519872,0.00003800815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003527681,"about_ca_system_score_gemma":0.002242357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001739598,"about_ca_topic_score_gemma":0.0000670072,"domain_scores_codex":[0.9740173,0.01292861,0.0115201,0.0002707561,0.0007551002,0.0005081203],"domain_scores_gemma":[0.9462878,0.03838935,0.01143239,0.0005121268,0.002126887,0.001251497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000142157,0.0001254449,0.975171,0.0003577681,0.0001739829,6.016829e-7,0.003151802,0.00009213477,0.0001047817,0.002592026,0.002232105,0.01585617],"study_design_scores_gemma":[0.001191641,0.0002530568,0.9567592,0.0006474305,0.00002875284,0.000001529821,0.004462059,0.00001216354,0.0000238503,0.001333343,0.03516085,0.0001261484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8621518,0.0005011883,0.1083942,0.0252116,0.001844583,0.0006525337,0.00000292437,0.00001551614,0.001225682],"genre_scores_gemma":[0.9161875,0.0001961672,0.07359904,0.009620151,0.0003053347,0.00004616885,0.000001863492,0.00001130142,0.00003243136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06362137,"threshold_uncertainty_score":0.9997814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6813296236937261,"score_gpt":0.6311674996339561,"score_spread":0.05016212405976994,"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."}}