ArticleJournal of biosocial science2020
'This sickness is not hospital sickness': a qualitative study of the evil eye as a source of neonatal illness in Ghana.
Article in Journal of biosocial science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Medicinal Plants Used to Treat Evil Eye Illness in Ethiopia: A Systematic Review.TheScientificWorldJournal · 2025Pooled it
- Concealed pregnancy as an act of care? A qualitative analysis of motivations for concealing and non-disclosure of early pregnancy in The Gambia.BMC pregnancy and childbirth · 2023Trial
- Transcultural Perspectives in Nursing: Understanding the Role of Healers and the Evil Eye in Modern Healthcare.Nursing reports (Pavia, Italy) · 2024Article
- Exploring communities' perceptions of the etiology of illnesses in newborns and young infants 0-59 days old in 4 counties in Kenya.PloS one · 2020Article
- Cultural Beliefs and Health-Seeking Practices Among Postnatal Mothers in Ghana, Bono East Region, Regarding Newborn Danger Signs.SAGE open nursingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
Abstract
Previous research has described the evil eye as a source of illness for pregnant women and their newborns. This study sought to explore the perceptions of the evil eye among mothers whose newborns had experienced a life-threatening complication across three regions of Ghana. As part of a larger, quantitative study, trained research assistants identified pregnant and newly delivered women (and their newborns) who had survived a life-threatening complication at three tertiary care hospitals in southern Ghana to participate in open-ended, qualitative interviews about their experiences in March-August 2015. All interviews were audio-recorded and transcribed verbatim into English and analysis using the constant comparative method of theme generation. A total of 37 mothers were interviewed, 20 about neonatal illnesses and 17 about maternal illnesses. Six of the 20 mothers interviewed about their newborn's illnesses spoke at length about the evil eye being a potential cause of newborn illness. The evil eye was described in a variety of terms, but commonalities included a person looking at a pregnant woman, her newborn baby, the baby's clothes and even the mother's food, causing harm, even unintentionally. Prevention required mothers covering themselves while pregnant and keeping the baby away from others until it was old enough to ward off the evil eye. Treatment required traditional medicine, yet some indicated that allopathic medicine could help. The evil eye appears to serve a social control mechanism, encouraging pregnant women to dress modestly, stay indoors as much as possible and behave appropriately. The evil eye is a pervasive, universally understood phenomenon across three regions of Ghana, even amongst a hospitalized population receiving allopathic health care for life-threatening complications of childbirth. Understanding the role of the evil eye in newborn illness attribution is important for clinicians, researchers and programmatic staff to effectively address barriers to care seeking.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.