2019
DOI: 10.1002/ijop.12604
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Validating mental health assessment in Kenya using an innovative gold standard

Abstract: EP and DA conceptualized and designed the study. AG co-led initial measures selection, piloting, and adaptation. LW and BK conducted analyses. LW drafted the manuscript, and all other authors edited it.

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Cited by 13 publications
(10 citation statements)
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References 29 publications
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“…For further ideas on integrating field and laboratory research, seeWillis and Miller (2011),Teddlie and Tashakkori (2012),Hay (2016),Gurven (2018),Hruschka et al (2018), andMatusz et al (2019). For field and clinical research, seeWeisner and Hay (2015),Kirmayer and Ryder (2016),Kaiser and Kohrt (2019),Lewis-Fernández andKirmayer (2019), andWatson et al (2019).…”
mentioning
confidence: 99%
“…For further ideas on integrating field and laboratory research, seeWillis and Miller (2011),Teddlie and Tashakkori (2012),Hay (2016),Gurven (2018),Hruschka et al (2018), andMatusz et al (2019). For field and clinical research, seeWeisner and Hay (2015),Kirmayer and Ryder (2016),Kaiser and Kohrt (2019),Lewis-Fernández andKirmayer (2019), andWatson et al (2019).…”
mentioning
confidence: 99%
“…We also demonstrate a method to combine empirical data on the prediction of caseness with theoretical grounding to identify items for an index test of family functioning. These methods may be beneficial in other low-resource contexts without typical “gold standards” and constraints that lead to smaller sample sizes (Also see Watson et al, 2020 for our related approach to adult mental health assessment).…”
Section: Discussionmentioning
confidence: 99%
“…Some studies also include ethnographic or qualitative methods to identify meaningful mental illness symptoms that are missed by existing screening tools ( Kaiser et al, 2013 ; Kohrt et al, 2016 ; Weaver & Kaiser, 2015 ). The “gold standard” for validating screening tools is clinician diagnosis, although alternative approaches have been tested, such as key informant judgment regarding distress or using interviews by non-clinicians to facilitate evaluation by clinicians at a distance ( Bolton, 2001 ; Watson et al, 2019 ).…”
Section: Introductionmentioning
confidence: 99%