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DC Field | Value | Language |
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dc.contributor.author | Watson, Leah K. | - |
dc.contributor.author | Kaiser, Bonnie N. | - |
dc.contributor.author | Giusto, Ali M. | - |
dc.contributor.author | Ayuku, David | - |
dc.date.accessioned | 2020-08-13T08:49:49Z | - |
dc.date.available | 2020-08-13T08:49:49Z | - |
dc.date.issued | 2019 | - |
dc.identifier.uri | https://doi.org/10.1002/ijop.12604 | - |
dc.identifier.uri | http://ir.mu.ac.ke:8080/jspui/handle/123456789/3422 | - |
dc.description.abstract | With the growing burden of mental health disorders worldwide, alongside efforts to expand availability of evidence-based interventions, strategies are needed to ensure accurate identification of individuals suffering from mental disorders. Efforts to locally validate mental health assessments are of particular value, yet gold-standard clinical validation is costly, time-intensive, and reliant on available professionals. This study aimed to validate assessment items for mental distress in Kenya, using an innovative gold standard and a combination of culturally adapted and locally developed items. The mixed-methods study drew on surveys and semi-structured interviews, conducted by lay interviewers, with 48 caregivers. Interviews were used to designate mental health “cases” or “non-cases” based on emotional health problems, identified through collaborative clinical rating process with local input. Individual mental health survey items were evaluated for their ability to discriminate between cases and non-cases. Discriminant survey items included 23 items adapted from existing mental health assessment tools, as well as 6 new itemsdeveloped for the specific cultural context. When items were combined into a scale, results showed good psychometric properties. The use of clinically rated semi-structured interviews provides a promising alternative gold standard that can help address the challenges of conducting diagnostic clinical validation in low-resource settings. | en_US |
dc.language.iso | en | en_US |
dc.publisher | International journal of psychology | en_US |
dc.subject | Mental health | en_US |
dc.subject | Family fucntioning | en_US |
dc.title | Validating mental health assessment in Kenya using an innovative gold standard. | en_US |
dc.type | Article | en_US |
Appears in Collections: | School of Medicine |
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