{"id":"W4413778428","doi":"10.2196/64147","title":"A Virtual Reality–Based mHealth App to Enhance Health Care Skills and Promote Health Equity by Empowering Health Care Professionals to Provide Empathetic, Compassionate, and Unbiased Patient Care Through Digital Experiential Learning: Qualitative Study","year":2025,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Cultural Competency in Health Care","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"mHealth; Preprint; Health care; Digital health; Experiential learning; Qualitative research; eHealth; Psychology; Empathy; Nursing; Internet privacy; Medicine; Computer science; World Wide Web; Social psychology; Sociology; Psychological intervention; Pedagogy","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":[0.003325306,0.0004133062,0.0002309031,0.0005665951,0.001356558,0.001379191,0.0006635468,0.0006627811,0.003575769],"category_scores_gemma":[0.006426638,0.0002256202,0.0005076186,0.000355781,0.001287659,0.001463795,0.002613688,0.0006900359,0.0003243255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005100794,"about_ca_system_score_gemma":0.001354308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006799226,"about_ca_topic_score_gemma":0.001436956,"domain_scores_codex":[0.9983099,0.001204616,0.00006278391,0.0001072309,0.0001610667,0.0001544136],"domain_scores_gemma":[0.9964752,0.00285697,0.0001567448,0.0001356641,0.0001963438,0.0001789836],"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":[0.0008992655,0.00406394,0.03088967,0.006429884,0.0001055406,0.004651696,0.4580098,0.0007872099,0.0125244,0.004658701,0.01663569,0.4603443],"study_design_scores_gemma":[0.000814391,0.01035141,0.08007036,0.007592052,0.0005863681,0.008238584,0.5876032,0.005318027,0.02285604,0.006204237,0.2699976,0.0003676755],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611711,0.001297154,0.01551273,0.001526879,0.0002345884,0.003152455,0.0007178822,0.0001795889,0.0162078],"genre_scores_gemma":[0.9619599,0.001303608,0.02625868,0.001346454,0.0000661559,0.00342252,0.000206279,0.00005276858,0.005383648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003575769,"threshold_uncertainty_score":0.01758605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06415461364426477,"score_gpt":0.5598954451771607,"score_spread":0.4957408315328959,"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."}}