Young People's Preferences for Web-Based Mental Health Interventions for Managing Anxiety and Depression: A Discrete Choice Experiment.
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| Title: | Young People's Preferences for Web-Based Mental Health Interventions for Managing Anxiety and Depression: A Discrete Choice Experiment. |
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| Authors: | Ho TQA; Institute of Health Transformation, Deakin Health Economics, School of Health and Social Development, Deakin University, Melbourne, VIC, Australia. tqho@deakin.edu.au., Engel L; Monash University Health Economics Group, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia., Ride J; Monash University Health Economics Group, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.; Health Economics Unit, School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia., Le LK; Monash University Health Economics Group, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia., Melvin G; School of Psychology, Deakin University, Melbourne, VIC, Australia., Le HND; Institute of Health Transformation, Deakin Health Economics, School of Health and Social Development, Deakin University, Melbourne, VIC, Australia., Mihalopoulos C; Institute of Health Transformation, Deakin Health Economics, School of Health and Social Development, Deakin University, Melbourne, VIC, Australia.; Monash University Health Economics Group, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia. |
| Source: | Applied health economics and health policy [Appl Health Econ Health Policy] 2025 Jul; Vol. 23 (4), pp. 737-749. Date of Electronic Publication: 2025 Mar 28. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Open Mind Journals Ltd Country of Publication: New Zealand NLM ID: 101150314 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1179-1896 (Electronic) Linking ISSN: 11755652 NLM ISO Abbreviation: Appl Health Econ Health Policy Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1179-1896 |
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| DOI: | 10.1007/s40258-025-00958-9 |
