ArticleInternational journal of women's health2020
Perception Determinants of Women and Healthcare Providers on the Effects of Oil Pollution on Maternal and Newborn Outcomes in the Niger Delta, Nigeria.
Article in International journal of women's health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 7 citations in OpenAlex.
- Exposure to oil pollution and maternal outcomes: The Niger Delta prospective cohort study.PloS one · 2022Article
- Utilization of Delivery Services among Mothers in Aluu Community, Ikwerre Local Government Area, Rivers State.Nigerian medical journal : journal of the Nigeria Medical AssociationArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis qualitative study examined the perception determinants of women and their local healthcare providers on exposure to oil pollution and its adverse effects on maternal and newborn outcomes in selected communities with history of oil spillage and gas flaring in the Niger Delta region of Nigeria. PARTICIPANTS AND
methodsThirty-nine participants were used in this study, which included community women leaders (n=2), women of reproductive ages (n=32) and healthcare providers (n= 3 female nurses and 2 male doctors) in the selected communities in the Niger Delta region of Nigeria. The participants were chosen through purposive sampling. Focus group discussions (FGDs) and in-depth interviews (IDIs) were conducted among the participants and recorded in line with research protocols. The recordings of the FGDs and IDIs were transcribed, coded and analysed using Nvivo 10.
resultsFour major themes emerged relating to the perception determinants of women and healthcare workers on the effects of oil pollution on maternal and newborn outcomes. The first theme relates to the fact that personal experiences influence risk perception. The second theme associated perception with cultural norms, values and practices. The third theme shows that perception is influenced by the level of environmental threat or hazard, while the fourth theme borders around the influence of hospital-related factors on risk perception.
conclusionThe study strongly suggested that both women and local healthcare providers perceived that oil pollution could have adverse effects on maternal and newborn outcomes. However, their perceptions were influenced by the cultural beliefs of the people, individual experiences, environmental and hospital-related factors. We believe that increasing awareness on the importance of attending antenatal care during pregnancy, making hospital charges affordable for pregnant women, and general environment conduciveness will improve maternal and newborn health in communities affected by oil pollution in the Niger Delta region.
Indexed as
Identifiers
What OpenQuestion holds
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.