{"id":"W3082385448","doi":"10.1007/s11136-020-02600-8","title":"Prospective application of implementation science theories and frameworks to inform use of PROMs in routine clinical care within an integrated pain network","year":2020,"lang":"en","type":"article","venue":"Quality of Life Research","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre de réadaptation Lethbridge-Layton-Mackay; McGill University Health Centre","funders":"","keywords":"Implementation research; Knowledge translation; Benchmarking; Implementation; Process management; Best practice; Intervention (counseling); Prom; Medicine; Knowledge management; Psychological intervention; Nursing; Computer science; Business","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.05856369,0.0000870267,0.0004159721,0.0002410817,0.000370396,0.00001744525,0.000362722,0.0001554429,0.00003760193],"category_scores_gemma":[0.04087578,0.00007538548,0.00002066499,0.003597214,0.001029712,0.0004739333,0.0002849457,0.0009641942,0.000003305602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001871048,"about_ca_system_score_gemma":0.003195656,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009245662,"about_ca_topic_score_gemma":0.005276379,"domain_scores_codex":[0.9885681,0.006590255,0.002511072,0.0004155753,0.00133748,0.000577573],"domain_scores_gemma":[0.9891165,0.006691504,0.0007570125,0.0003568318,0.002603234,0.000474841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000339125,0.00002698427,0.8260521,0.0005135995,0.000003743434,3.521214e-8,0.1394854,0.00004458275,0.0002818616,0.02400241,0.00009321138,0.009156885],"study_design_scores_gemma":[0.0007579009,0.0009200009,0.8615112,0.0001308725,0.000001675833,1.920476e-8,0.1328786,0.001429236,0.0002916472,0.001737044,0.0002709228,0.00007089114],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781042,0.00001026641,0.01094573,0.007438061,0.00003220511,0.003311362,0.0001016158,0.0000149841,0.00004156397],"genre_scores_gemma":[0.9870963,0.000008910933,0.01024541,0.002315586,0.00007178097,0.0002332298,0.00001827666,0.000007461658,0.000003042628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03545899,"threshold_uncertainty_score":0.9973519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8272447213935428,"score_gpt":0.7697779449240277,"score_spread":0.05746677646951504,"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."}}