dc.contributor.author | Madeghe, BA, | |
dc.contributor.author | Kogi-Makau, W | |
dc.contributor.author | Ngala, S | |
dc.contributor.author | Kumar, M. | |
dc.date.accessioned | 2021-12-21T08:48:32Z | |
dc.date.available | 2021-12-21T08:48:32Z | |
dc.date.issued | 2021-06-10 | |
dc.identifier.citation | Madeghe BA, Kogi-Makau W, Ngala S and Kumar M. (2021). Risk factors and experiences of prepartum depression in urban- low-income settlement Nairobi Kenya: a mixed-method study [version 3; peer review: 2 approved] F1000Research 2021, 9:1495 | en_US |
dc.identifier.uri | https://doi.org/10.12688/f1000research.27434.3 | |
dc.identifier.uri | https://doaj.org/article/6a363cb077a745d4bf96d26152e3cc80 | |
dc.identifier.uri | http://erepository.uonbi.ac.ke/handle/11295/155938 | |
dc.description.abstract | Background: Prepartum depression is common among pregnant women and has not been studied much in low and middle-income countries. Evidence shows that mental illnesses are prevalent in urban than in rural areas. The study objective was to determine the magnitude of prepartum depression, risk factors, and real-life experiences of depression among pregnant women. Method: A mixed-method cross-sectional study was conducted. It included 262 pregnant women attending antenatal clinics in two public health facilities in urban low-income settlement Nairobi, Kenya. Edinburgh Postnatal Depression Scale (EPDS) with cut-off >13 was used to classify clinical depressive illness. Further, a focus group discussion was conducted with 20 women identified with depression. Univariable analysis with Odd's Ratio was used to test associations. Variables with a p13. Women's gestational age was statistically significantly associated with prepartum depression [OR 4.27 (95% C.I. 2.08 - 8.79), p < 0.001]. Income level ≤ 5000 KES was statistically significantly associated with prepartum depression [OR 3.64 (95% C.I.1.25 -10.60), p=0.018]. Further, thematic analysis of qualitative indicated that poverty, lack of social support, domestic violence, and unfriendly health care were major contributors to prepartum depression. Conclusion: Significant numbers of pregnant women were found to experience depression. This prevalence rate indicates a high disease burden of women who live with depression, which is not diagnosed because screening of depression is not done in primary health care centers. This study calls for a need and consideration for screening for perinatal depression in primary health care facilities, mainly in resource-poor areas. Interventions targeting means of resolving conflicts in families are highly needed. Such steps would help achieve key sustainable development goals where maternal and child health remains key priority. | en_US |
dc.publisher | F1000 Research Ltd | en_US |
dc.subject | Maternal , depression, risk factors, experiences, Kenya | en_US |
dc.title | Risk factors and experiences of prepartum depression in urban- low-income settlement Nairobi Kenya: a mixed-method study | en_US |
dc.type | Article | en_US |