{"id":"W4393871335","doi":"10.2196/53034","title":"Digital Intervention to Improve Health Services for Young People in Zimbabwe: Process Evaluation of ‘Zvatinoda!’ (What We Want) Using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) Framework","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; University of Oxford; London School of Hygiene and Tropical Medicine","keywords":"Thematic analysis; mHealth; Intervention (counseling); Debriefing; Phone; Medical education; Reproductive health; Health care; Descriptive statistics; Psychology; Qualitative property; Peer support; Nursing; Medicine; Psychological intervention; Qualitative research; Population; Computer science; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01972224,0.001245003,0.0008014082,0.00123531,0.002143729,0.001900344,0.001576433,0.001101497,0.004746599],"category_scores_gemma":[0.01757476,0.0006697857,0.001148106,0.0009414855,0.002051699,0.001268998,0.005645465,0.00123481,0.0002700393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004414481,"about_ca_system_score_gemma":0.008762489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01122622,"about_ca_topic_score_gemma":0.0151479,"domain_scores_codex":[0.9862794,0.01007392,0.000628336,0.0005183064,0.0008683036,0.001631784],"domain_scores_gemma":[0.9933966,0.00389412,0.0008431646,0.0003846007,0.0005347248,0.0009467541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00832473,0.04786953,0.0152732,0.01173437,0.0004285529,0.0006740495,0.07407068,0.00253684,0.00700901,0.00257645,0.0032092,0.8262935],"study_design_scores_gemma":[0.07311384,0.29866,0.3144957,0.01876116,0.004020719,0.0006737237,0.1316629,0.01002633,0.02818053,0.005652892,0.11418,0.0005722418],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539769,0.000907377,0.002987832,0.001590892,0.0001160988,0.03441656,0.0003657367,0.0001346434,0.005503966],"genre_scores_gemma":[0.9198644,0.001440379,0.02902603,0.0008041582,0.00006390474,0.04674545,0.0002702533,0.0000297092,0.001755767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01972224,"threshold_uncertainty_score":0.1043024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09321220754007643,"score_gpt":0.5736341889238933,"score_spread":0.4804219813838169,"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."}}