{"id":"W4395472205","doi":"10.2196/50745","title":"Feasibility, Acceptability, Satisfaction, and Challenges of an mHealth App (e-ASCov) for Community-Based COVID-19 Screening by Community Health Workers in Rwanda: Mixed Methods Study","year":2024,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Rwanda Biomedical Centre","keywords":"mHealth; Coronavirus disease 2019 (COVID-19); Telemedicine; Community health; Psychology; Medicine; Health care; Public health; Nursing; Psychological intervention; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01817519,0.0007208823,0.0009564702,0.0007824521,0.001712611,0.00201155,0.0007990291,0.0009166905,0.001542988],"category_scores_gemma":[0.01388541,0.0008507574,0.001351591,0.000658164,0.0009964188,0.001461262,0.001446913,0.0009435977,0.0002486013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001436028,"about_ca_system_score_gemma":0.002761512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003886005,"about_ca_topic_score_gemma":0.008598804,"domain_scores_codex":[0.9908274,0.005921599,0.0007846865,0.0005369859,0.001006768,0.0009225529],"domain_scores_gemma":[0.9919451,0.004983756,0.001046951,0.0003649275,0.001179526,0.0004797434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004690221,0.0267889,0.5627375,0.005970182,0.001049659,0.002070314,0.2210484,0.0003756084,0.007763396,0.0007074233,0.001795164,0.1650033],"study_design_scores_gemma":[0.001533824,0.06294387,0.6906789,0.002867876,0.001249743,0.001135433,0.2267945,0.001835897,0.003970265,0.0004668101,0.006274779,0.0002481517],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974753,0.0001605773,0.0002770439,0.00007471228,0.00001028582,0.00150994,0.00007933929,0.000003713007,0.0004090102],"genre_scores_gemma":[0.9897531,0.0005933892,0.002856874,0.0002410396,0.00002929904,0.005885867,0.0001122415,0.000006000415,0.000522193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01817519,"threshold_uncertainty_score":0.09612072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2820371489995798,"score_gpt":0.5702140798326389,"score_spread":0.2881769308330591,"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."}}