Improving mortality data in Jordan: a 10 year review

Dababneh, Faris; Nichols, Erin; Asad, Majed; Haddad, Y.; Notzon, Francis C.; Anderson, Robert N.

doi:10.2471/blt.14.137190

Cited by 8 publications

(5 citation statements)

References 1 publication

(1 reference statement)

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“…Furthermore, these figures likely reflect underreporting. 17,20 Congenital diseases could be prevented, or at least decreased, by providing adequate prenatal and postnatal genetic services to the community, by performing the non-invasive prenatal testing (NIPT) during the 9th to 10th week of pregnancy. 21 Accordingly, proper genetic counseling is crucial for high-risk groups such as consanguineous marriages.…”

Section: Epigenetics Insightsmentioning

confidence: 99%

Knowledge, Attitudes, and Practices of Women Toward Prenatal Genetic Testing

et al. 2018

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Objectives:We aim to address public knowledge, attitudes, and practices relative to prenatal genetic testing as a starting point for policy development in Jordan.Study design:We conducted a cross-sectional prenatal genetic testing knowledge, attitudes, and practices survey with 1111 women recruited at obstetrics and gynecology clinics nationwide. Data were analyzed using a variety of descriptive and inferential statistical tests.Results:The overwhelming majority (>94%) of participants considered prenatal genetic testing, particularly non-invasive prenatal genetic screening, procedures to be good, comfortable, and reasonable, even when the non-diagnostic nature of non-invasive prenatal genetic screening was explained. Likewise, 95% encouraged the implementation of non-invasive prenatal genetic screening within the Jordanian health system, but most preferred it to remain optional. However, women in higher-risk age brackets, in consanguineous marriages, and with less education were significantly less interested in learning about non-invasive prenatal genetic screening. Only 60% of women interviewed were satisfied with the services provided by their obstetric/gynecologist. The more satisfied the women were, the more they are likely to adapt non-invasive prenatal genetic screening.Conclusions:In sum, although the data support the receptivity of Jordanian women to national implementation of non-invasive prenatal genetic screening, such policies should be accompanied by health education to increase the genetic literacy of the population and to engage high-risk populations. Thus, this offers rare insight into the readiness of 1 particular Arab population to adapt non-invasive prenatal genetic screening technologies.

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Section: Epigenetics Insightsmentioning

confidence: 99%

Knowledge, Attitudes, and Practices of Women Toward Prenatal Genetic Testing

et al. 2018

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“…Contrary to previous studies conducted in European countries 31,32 , our results indicate that the likelihood of hospital deaths increased amongst Jordanian and non-Jordanians during the period 2014 -2016. The dramatic increase in hospital deaths may be due to epidemiologic transition in the population structure induced by the increase in noncommunicable diseases 33 and other factors such as improved reporting of mortality data 34 and lack of community-based services in Jordan (lack of supply of the home care services and stand-alone hospices and nursing homes). 22 And it also could be that the cost of home care service provision is usually covered out of pocket and not reimbursed by public or private insurance in Jordan.…”

Section: Discussionmentioning

confidence: 99%

Changing Mortality and Place of Death in Response to Refugee Influx: A Population-Based Cross-Sectional Study in Jordan, 2005–2016

Guo

Chukwusa

Asad

et al. 2021

Journal of Palliative Medicine

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Where a licence is displayed above, please note the terms and conditions of the licence govern your use of this document.When citing, please reference the published version. Take down policy While the University of Birmingham exercises care and attention in making items available there are rare occasions when an item has been uploaded in error or has been deemed to be commercially or otherwise sensitive.

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“…Te signifcant impact of heart disease on mortality rates was highlighted based on [29,30], emphasizing the importance of early prediction and diagnosis.…”

Section: Related Workmentioning

confidence: 99%

Enhancing Heart Attack Prediction with Machine Learning: A Study at Jordan University Hospital

Alshraideh,

Alshraideh

et al. 2024

Applied Computational Intelligence and Soft Computing

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Efforts have been made to address the adverse impact of heart disease on society by improving its treatment and diagnosis. This study uses the Jordan University Hospital (JUH) Heart Dataset to develop and evaluate machine-learning models for predicting heart disease. The primary objective of this study is to enhance prediction accuracy by utilizing a comprehensive approach that includes data preprocessing, feature selection, and model development. Various artificial intelligence techniques, namely, random forest, SVM, decision tree, naive Bayes, and K-nearest neighbours (KNN) were explored with particle swarm optimization (PSO) for feature selection. These results have substantial implications for early disease detection, diagnosis, and tailored treatment, potentially aiding medical professionals in making well-informed decisions and improving patient outcomes. The PSO is used to select the most compelling features out of 58 features. Experiments on a dataset comprising 486 heart disease patients at JUH yielded a commendable classification accuracy of 94.3% using our proposed system, aligning with state-of-the-art performance. Notably, our research utilized a distinct dataset provided by the corresponding author, while alternative algorithms in our study achieved accuracies ranging from 85% to 90%. These results emphasize the superior accuracy of our proposed system compared to other algorithms considered, particularly highlighting the SVM classifier with PSO as the most accurate, contributing significantly to improving heart disease diagnosis in regions like Jordan, where cardiovascular diseases are a leading cause of mortality.

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Improving mortality data in Jordan: a 10 year review

Cited by 8 publications

References 1 publication

Knowledge, Attitudes, and Practices of Women Toward Prenatal Genetic Testing

Knowledge, Attitudes, and Practices of Women Toward Prenatal Genetic Testing

Changing Mortality and Place of Death in Response to Refugee Influx: A Population-Based Cross-Sectional Study in Jordan, 2005–2016

Enhancing Heart Attack Prediction with Machine Learning: A Study at Jordan University Hospital

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