No prediction without prevention: A global qualitative study of attitudes toward using a prediction tool for risk of developing depression during adolescence
Given the rate of advancement in predictive psychiatry, there is a threat that it outpaces public and professional willingness for use in clinical care and public health. Prediction tools in psychiatry estimate the risk of future development of mental health conditions. Prediction tools used with yo...
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| Language: | English |
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Cambridge University Press
2024-01-01
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| Series: | Cambridge Prisms: Global Mental Health |
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| Online Access: | https://www.cambridge.org/core/product/identifier/S2054425124001365/type/journal_article |
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| author | Brandon A. Kohrt Syed Shabab Wahid Katherine Ottman Abigail Burgess Anna Viduani Thais Martini Silvia Benetti Olufisayo Momodu Jyoti Bohara Vibha Neupane Kamal Gautam Abiodun Adewuya Valeria Mondelli Christian Kieling Helen L. Fisher |
| author_facet | Brandon A. Kohrt Syed Shabab Wahid Katherine Ottman Abigail Burgess Anna Viduani Thais Martini Silvia Benetti Olufisayo Momodu Jyoti Bohara Vibha Neupane Kamal Gautam Abiodun Adewuya Valeria Mondelli Christian Kieling Helen L. Fisher |
| author_sort | Brandon A. Kohrt |
| collection | DOAJ |
| description | Given the rate of advancement in predictive psychiatry, there is a threat that it outpaces public and professional willingness for use in clinical care and public health. Prediction tools in psychiatry estimate the risk of future development of mental health conditions. Prediction tools used with young populations have the potential to reduce the worldwide burden of depression. However, little is known globally about adolescents’ and other stakeholders’ attitudes toward use of depression prediction tools. To address this, key informant interviews and focus group discussions were conducted in Brazil, Nepal, Nigeria and the United Kingdom with 23 adolescents, 45 parents, 47 teachers, 48 health-care practitioners and 78 other stakeholders (total sample = 241) to assess attitudes toward using a depression prediction risk calculator based on the Identifying Depression Early in Adolescence Risk Score. Three attributes were identified for an acceptable depression prediction tool: it should be understandable, confidential and actionable. Understandability includes depression literacy and differentiating between having a condition versus risk of a condition. Confidentiality concerns are disclosing risk and impeding educational and occupational opportunities. Prediction results must also be actionable through prevention services for high-risk adolescents. Six recommendations are provided to guide research on attitudes and preparedness for implementing prediction tools. |
| format | Article |
| id | doaj-art-b7b732e487824b1e95002d1aca0437a2 |
| institution | Kabale University |
| issn | 2054-4251 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Cambridge Prisms: Global Mental Health |
| spelling | doaj-art-b7b732e487824b1e95002d1aca0437a22025-01-16T21:47:23ZengCambridge University PressCambridge Prisms: Global Mental Health2054-42512024-01-011110.1017/gmh.2024.136No prediction without prevention: A global qualitative study of attitudes toward using a prediction tool for risk of developing depression during adolescenceBrandon A. Kohrt0https://orcid.org/0000-0002-3829-4820Syed Shabab Wahid1https://orcid.org/0000-0003-0355-0537Katherine Ottman2Abigail Burgess3Anna Viduani4Thais Martini5Silvia Benetti6Olufisayo Momodu7Jyoti Bohara8Vibha Neupane9Kamal Gautam10https://orcid.org/0000-0001-9401-9359Abiodun Adewuya11https://orcid.org/0000-0002-7611-6953Valeria Mondelli12https://orcid.org/0000-0001-8690-6839Christian Kieling13Helen L. Fisher14https://orcid.org/0000-0003-4174-2126Center for Global Mental Health Equity, Department of Psychiatry and Behavioral Health, George Washington University, Washington, DC, USADepartment of Global Health, Georgetown University, Washington, DC, USACenter for Global Mental Health Equity, Department of Psychiatry and Behavioral Health, George Washington University, Washington, DC, USASocial, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UKDepartment of Psychiatry, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, BrazilDepartment of Psychiatry, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, BrazilDepartment of Psychiatry, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, BrazilDepartment of Psychiatry, Lagos Island General Hospital, Lagos, NigeriaTranscultural Psychosocial Organization Nepal (TPO Nepal), Baluwatar, Kathmandu, NepalTranscultural Psychosocial Organization Nepal (TPO Nepal), Baluwatar, Kathmandu, NepalCenter for Global Mental Health Equity, Department of Psychiatry and Behavioral Health, George Washington University, Washington, DC, USA Transcultural Psychosocial Organization Nepal (TPO Nepal), Baluwatar, Kathmandu, NepalDepartment of Behavioural Medicine, Lagos State University College of Medicine, Lagos, NigeriaDepartment of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, UK National Institute for Health and Care Research Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust and King’s College London, London, UKDepartment of Psychiatry, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil Child & Adolescent Psychiatry Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, BrazilSocial, Genetic & Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK ESRC Centre for Society and Mental Health, King’s College London, London, UKGiven the rate of advancement in predictive psychiatry, there is a threat that it outpaces public and professional willingness for use in clinical care and public health. Prediction tools in psychiatry estimate the risk of future development of mental health conditions. Prediction tools used with young populations have the potential to reduce the worldwide burden of depression. However, little is known globally about adolescents’ and other stakeholders’ attitudes toward use of depression prediction tools. To address this, key informant interviews and focus group discussions were conducted in Brazil, Nepal, Nigeria and the United Kingdom with 23 adolescents, 45 parents, 47 teachers, 48 health-care practitioners and 78 other stakeholders (total sample = 241) to assess attitudes toward using a depression prediction risk calculator based on the Identifying Depression Early in Adolescence Risk Score. Three attributes were identified for an acceptable depression prediction tool: it should be understandable, confidential and actionable. Understandability includes depression literacy and differentiating between having a condition versus risk of a condition. Confidentiality concerns are disclosing risk and impeding educational and occupational opportunities. Prediction results must also be actionable through prevention services for high-risk adolescents. Six recommendations are provided to guide research on attitudes and preparedness for implementing prediction tools.https://www.cambridge.org/core/product/identifier/S2054425124001365/type/journal_articleadolescentsdepressiondeveloping countrieshealth risk behaviorsqualitative researchpreventive health services |
| spellingShingle | Brandon A. Kohrt Syed Shabab Wahid Katherine Ottman Abigail Burgess Anna Viduani Thais Martini Silvia Benetti Olufisayo Momodu Jyoti Bohara Vibha Neupane Kamal Gautam Abiodun Adewuya Valeria Mondelli Christian Kieling Helen L. Fisher No prediction without prevention: A global qualitative study of attitudes toward using a prediction tool for risk of developing depression during adolescence Cambridge Prisms: Global Mental Health adolescents depression developing countries health risk behaviors qualitative research preventive health services |
| title | No prediction without prevention: A global qualitative study of attitudes toward using a prediction tool for risk of developing depression during adolescence |
| title_full | No prediction without prevention: A global qualitative study of attitudes toward using a prediction tool for risk of developing depression during adolescence |
| title_fullStr | No prediction without prevention: A global qualitative study of attitudes toward using a prediction tool for risk of developing depression during adolescence |
| title_full_unstemmed | No prediction without prevention: A global qualitative study of attitudes toward using a prediction tool for risk of developing depression during adolescence |
| title_short | No prediction without prevention: A global qualitative study of attitudes toward using a prediction tool for risk of developing depression during adolescence |
| title_sort | no prediction without prevention a global qualitative study of attitudes toward using a prediction tool for risk of developing depression during adolescence |
| topic | adolescents depression developing countries health risk behaviors qualitative research preventive health services |
| url | https://www.cambridge.org/core/product/identifier/S2054425124001365/type/journal_article |
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