{"id":"W2967556947","doi":"10.1016/j.jval.2019.05.012","title":"A Cost Analysis and Cost-Utility Analysis of a Community Pharmacist–Led Intervention on Reducing Cardiovascular Risk: The Alberta Vascular Risk Reduction Community Pharmacy Project (RxEACH)","year":2019,"lang":"en","type":"article","venue":"Value in Health","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia; University of Alberta; University of Calgary","funders":"Alberta Innovates; Alberta Health; Alberta Health Services; Sanofi","keywords":"Medicine; Pharmacy; Pharmacist; Intervention (counseling); Health care; Emergency medicine; Randomized controlled trial; Relative risk; Emergency department; Cost–benefit analysis; Health economics; Confidence interval; Family medicine; Public health; Internal medicine; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01599326,0.0002792772,0.001380234,0.0009074339,0.0005742338,0.0000331453,0.0002722245,0.00008089878,0.00009154409],"category_scores_gemma":[0.001306692,0.0002112699,0.001354034,0.003315628,0.0001447178,0.0002052719,0.0001595115,0.002783189,0.000006838602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004331518,"about_ca_system_score_gemma":0.0001310723,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5881683,"about_ca_topic_score_gemma":0.002516276,"domain_scores_codex":[0.9801518,0.01744802,0.00106065,0.0003372227,0.0006162025,0.0003860708],"domain_scores_gemma":[0.9947186,0.002488219,0.0008718369,0.001569298,0.0001540596,0.0001980589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001700144,0.002140173,0.860441,0.00121511,0.02388974,0.00000135964,0.01236486,0.04110191,0.00004778348,0.000008935328,0.00004240256,0.05704654],"study_design_scores_gemma":[0.005650761,0.0005041402,0.4978073,0.0002430888,0.02640877,0.000008053807,0.002918902,0.4628386,0.0002494846,0.00002432724,0.003133517,0.0002131187],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937817,0.001675378,0.0005092057,0.0004390289,0.000192344,0.003065226,0.00008356639,0.00003017516,0.0002233938],"genre_scores_gemma":[0.9956841,0.003653676,0.00009386853,0.0001955582,0.00002877621,0.00007031481,0.0002144525,0.0000203734,0.00003883216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5856519,"threshold_uncertainty_score":0.9995174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2408240972905143,"score_gpt":0.4569221363321289,"score_spread":0.2160980390416146,"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."}}