Developing and validating a perinatal depression screening tool in Kenya blending Western criteria with local idioms: a mixed methods study
Abstract
Background Routine screening for perinatal depression is not common in most primary health care settings. The U.S. Preventive Services Task Force only recently updated their recommendation on depression screening to specifically recommend screening during the pre- and postpartum periods. While practitioners in high-income countries can respond to this new recommendation by implementing one of several existing depression screening tools developed in Western contexts, such as the Edinburgh Postnatal Depression Scale (EPDS) or the Patient Health Questionnaire-9 (PHQ-9), these tools lack strong evidence of cross-cultural equivalence, validity for case finding, and precision in measuring response to treatment in developing countries. Thus, there is a critical need to develop and validate new screening tools for perinatal depression that can be used by lay health workers, primary health care personnel, and patients.Methods Working in rural Kenya, we used free listing, card sorting, and item analysis methods to develop a locally-relevant screening tool that blended Western psychiatric concepts with local idioms of distress. We conducted a validation study with a random sample of 193 pregnant women and new mothers to test the diagnostic accuracy of this scale along with the EPDS and PHQ-9.Results The sensitivity/specificity of the EPDS and PHQ-9 was estimated to be 0.70/0.72 and 0.70/0.73, respectively. This compared to sensitivity/specificity of 0.90/0.90 for a new 9-item locally-developed tool called the Perinatal Depression Screening (PDEPS). Across these three tools, internal consistency reliability ranged from 0.77 to 0.81 and test-retest reliability ranged from 0.57 to 0.67. The prevalence of depression ranges from 5.2% to 6.2% depending on the clinical reference standard.Conclusion The EPDS and PHQ-9 are valid and reliable screening tools for perinatal depression in rural Western Kenya, the PDEPS may be a more useful alternative. At less than 10%, the prevalence of depression in this region appears to be lower than other published estimates for African and other low-income countries.
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The SLPPDS exhibits superior performance across all indices of classification accuracy compared to the PHQ-9.
“the SLPPDS—exhibits superior performance across all indices of classification accuracy concerning PHQ-9”
From Developing and validating the Sierra Leone perinatal psychological distress scale through an emic-etic approach (2025) · cites this paper as Green et al., 2018
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- Authors
- Green, E. P., Tuli, H., Kwobah, E., Menya, D., Chesire, I., & Schmidt, C.
- Affiliations
- Duke University (US)
- Moi University (KE)
- Corresponding author
- Green, Eric P.
- Venue
- Journal of Affective Disorders
- Publisher
- Elsevier BV
- Published
- 2018-03
- Volume
- 228
- Pages
- 49-59
- ISSN
- 0165-0327 (ISSN-L)
- OpenAlex
- W2773408319
- Cited by
- 53
- References
- 41
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 9 · 2023: 4 · 2022: 6 · 2021: 9 · 2020: 10 · 2019: 2 · 2018: 2
- FWCI
- 3.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Affective Disorders (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Duke Global Health Institute (453-0751)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Maternal Mental Health During Pregnancy and Postpartum
- Social Sciences › Education › Health Education and Validation
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Keywords
- perinatal depression, depression screening, screening tool development, cross-cultural adaptation, free listing, card sorting, Edinburgh Postnatal Depression Scale, PHQ-9, diagnostic accuracy, sensitivity and specificity, internal consistency, test-retest reliability, depression prevalence, pregnant women, postpartum women, rural Kenya, primary care
- MeSH terms
- Adult, Depressive Disorder, Developing Countries, Female, Humans, Kenya, Male, Mass Screening, Mothers, Poverty, Pregnancy, Pregnancy Complications, Psychiatric Status Rating Scales, Sensitivity and Specificity, Reproducibility of Results, Prevalence, Depression, Postpartum
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