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Prevalence of Low Birth Weight and Its Determinants in Bahir Dar City, Amhara Region, North West Ethiopia: Health Facility Based Cross-Sectional Study
Amare Alamirew Aynie,
Tigabu Birhan Kassa,
Dagninet Derebe Abie
Issue:
Volume 5, Issue 1, March 2020
Pages:
1-8
Received:
22 August 2019
Accepted:
21 October 2019
Published:
6 January 2020
Abstract: According to EDHS 2016, Low birth weight in Amhara Region was 22.2%. Studies show that low birth weight (LBW) babies are significantly at risk of death, contributing to the high neonatal and infant morbidity and mortality. The poor health outcome of low birth weight can be reduced through quality and comprehensive neonatal care. This study aimed to determine the prevalence and determinants of low birth weight among women who gave birth at health facilities in Bahir Dar city. An institution-based cross-sectional study using an incidence density sampling technique was conducted from February 01/2019 to March 30/2019 in public and private health facilities of the Bahir Dar city. The sample size was calculated using the single population proportion formula. A pre-tested questionnaire was used for data collection and data was entered into the EPI-data and transported to SPSS version 22 for analysis. The totals of 292 respondents were involved in the study. Pregnant women who did not get married [AOR=8.75, 95%CI: 3.00, 25.55], women who had a previous history of LBW [AOR=7. 81, 95%CI: 1.71, 35.69], women with less than four ANC visits [AOR=2.75, 95%: 1.14, 6.63], women whose MUAC were less than 23cm [AOR=12. 12, 95%CI (4.46, 33.02)], anemic women [AOR=9. 15, 95%CI: 2.31, 36.30] and women whose blood hemoglobin level was less than 11gm/dl [AOR=6.10, 95%CI: 2.18, 17.01] were statistically associated with low birth weight. Hence, interventions targeting on marital status, LBW histories, antenatal care visit, and maternal MUAC, anemia and hemoglobin level were recommended to reduce the prevalence of low birth weight.
Abstract: According to EDHS 2016, Low birth weight in Amhara Region was 22.2%. Studies show that low birth weight (LBW) babies are significantly at risk of death, contributing to the high neonatal and infant morbidity and mortality. The poor health outcome of low birth weight can be reduced through quality and comprehensive neonatal care. This study aimed to...
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Knowledge and Attitude of Health Professionals Towards Clinical Pharmacy Services in Selected Hospitals in West Shoa Zone, Ethiopia
Esayas Tadesse Gebremariam,
Getu Melesie Taye,
Diriba Alemayehu
Issue:
Volume 5, Issue 1, March 2020
Pages:
9-13
Received:
6 September 2019
Accepted:
26 October 2019
Published:
9 January 2020
Abstract: Clinical pharmacy services are patient oriented services developed to promote the rational use of medicines by maximizing therapeutic effect of medicines in individual patients. The service is at the infant stage in Ethiopia and there is no adequate information about it in the country. Therefore, the aim of this study was to assess the knowledge, attitude & practice of health professionals towards clinical pharmacy services in selected public hospitals in West Shoa Zone, Oromia Region, Ethiopia. A facility based cross sectional survey was conducted from April 2 to April 16, 2018. The study used a quantitative method of data collection. A total of 150 health professionals were involved in the study; and convenience sampling techniques was used to collect the data. Data was collected using structured and self-administered questionnaires and it was analyzed by using SPSS version 23. Descriptive statistics including frequency, mean, percentage and table was used to present the data. 128 (92.1%) of health professionals were heard about clinical pharmacy services in Ethiopia. 104 (74.8%) strongly agreed & agreed that they appreciated the presence of pharmacist in the ward all the times important for patient care. However, 67 (48.2%) of respondents said the performance of the pharmacists in practicing clinical pharmacy in the hospital was poor. Generally, majority of health professionals had adequate knowledge and positive attitudes towards clinical pharmacy services but their practice with clinical pharmacists was found poor. It is recommended that collaborative working relationship should be established among health professionals in order to optimize and monitor drug use problem in the hospitals.
Abstract: Clinical pharmacy services are patient oriented services developed to promote the rational use of medicines by maximizing therapeutic effect of medicines in individual patients. The service is at the infant stage in Ethiopia and there is no adequate information about it in the country. Therefore, the aim of this study was to assess the knowledge, a...
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Estimation of Population Based Colorectal Cancer Survival Analysis Using Cox Proportional Hazards Model
Marafa Haliru Muhammad,
Usman Umar
Issue:
Volume 5, Issue 1, March 2020
Pages:
14-19
Received:
20 December 2019
Accepted:
30 December 2019
Published:
4 February 2020
Abstract: Colorectal cancer (CRC) is a tumour of the colon and rectum. Most cases of CRC are sporadic; meaning there are no known hereditary (genetic) components, and it develops slowly over several years through adenomatous polyps. Changes in bowel habits, blood in the stool, and anaemia are cardinal symptoms and sings of CRC. In later stages, fatigue, anorexia, weight loss, pain, jaundice, and other signs and symptoms of locally advanced and metastatic disease occur. The aim of this study is to estimate the population based colorectal cancer survival analysis using cox Proportional Hazards model, in order to fits colorectal cancer data in population-based research. This research was a five-year retrospective study on data from a record of colorectal cancer patients that received treatments from 2013 to 2017 in Radiotherapy Department of Usmanu Danfodiyo University Teaching Hospital, Sokoto, being it one of the cancer registries in Nigeria. 9 covariates were selected to fit colorectal cancer data using Cox Regression Models. The 5-year median survival was found to be 121 days. From the results, it was concluded that the predictor variables could significantly predict the survival of colorectal cancer patients using Cox proportional model. Also the results show that the data met Cox Proportional Hazards Assumptions.
Abstract: Colorectal cancer (CRC) is a tumour of the colon and rectum. Most cases of CRC are sporadic; meaning there are no known hereditary (genetic) components, and it develops slowly over several years through adenomatous polyps. Changes in bowel habits, blood in the stool, and anaemia are cardinal symptoms and sings of CRC. In later stages, fatigue, anor...
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Comparative Study of K-Means, Partitioning Around Medoids, Agglomerative Hierarchical, and DIANA Clustering Algorithms by Using Cancer Datasets
Md. Bipul Hossen,
Md. Rabiul Auwul
Issue:
Volume 5, Issue 1, March 2020
Pages:
20-25
Received:
29 December 2019
Accepted:
10 January 2020
Published:
2 March 2020
Abstract: Clustering plays a particularly fundamental role in exploring data, creating predictions and to overcome the anomalies in the data. Clusters that contain parallel, identical characteristics in a dataset are grouped using reiterative algorithms. As the data in real world is rising day by day so the challenges of perceiving and interpreting the consequential mass of data, which often consists of millions of measurements are increased by the intricacy of a huge number of genes of biological networks. To addressing this challenge, we use clustering algorithms. In this study, we provided a comparative study of the four most popular clustering algorithms: K-Means, PAM, Agglomerative Hierarchical and DIANA and these are evaluated on eight real cancer (four Affymetrix and four cDNA) gene data and simulated data set. The comparative results based upon seven popular cluster validity indices: Average Silhouette Index, Corrected rand Index, Variation of Information, Dunn Index, Calinski-Harabasz Index, Separation Index, and Pearson Gamma. We determine that PAM is best for Affymetrix data set and DIANA is best for cDNA dataset among these four clustering algorithms. This study provides practical evaluation frameworks for accessing clustering results on gene expression cancer datasets.
Abstract: Clustering plays a particularly fundamental role in exploring data, creating predictions and to overcome the anomalies in the data. Clusters that contain parallel, identical characteristics in a dataset are grouped using reiterative algorithms. As the data in real world is rising day by day so the challenges of perceiving and interpreting the conse...
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Survival Analysis to Determine the Significant Factors Associated with Birth Interval of Women in Ethiopia: Based on 2011 Ethiopian Demographic and Health Survey Data
Yenefenta Wube Bayleyegne,
Zeytu Gashaw Asfaw
Issue:
Volume 5, Issue 1, March 2020
Pages:
26-38
Received:
3 August 2019
Accepted:
31 October 2019
Published:
14 April 2020
Abstract: Longer intervals between consecutive births decrease the number of children a woman can have. This results in beneficial effects on population size and on the health status of mothers and children. The general objective of this study was to model the birth intervals of adult women age 15-49 years old in Ethiopia and to identify the variable that affects the length of birth intervals of women. The study utilizes the data extracted from the 2011 Ethiopian Demographic and Health Survey (EDHS). In this study cox proportional hazards and shared gamma frailty models were adopted for the analysis to identify important demographic and socioeconomic factors that may affect the length of birth intervals and to analyze correlated birth intervals respectively. The result of the two models revealed that mother’s age, place of residence, mother education level, wealth index, mother age at first birth, childbirth order, survival status of the previous child, breast feeding status, and contraceptive use were found to have significant effect on the length of birth interval for Ethiopian women. The analysis with the frailty model shows that child birth order may not be an important covariate for analyzing birth intervals, especially when mother’s age at first birth is already in the model. Moreover, shared gamma frailty model have resulted in a minimum AIC as compared to cox proportional hazard model without frailty term in the model, suggesting that shared gamma frailty model is the most powerful one in predicting the birth intervals of women among regional states of Ethiopia. Hence, the setting of correlated observations, the cox frailty models are recommended for providing statistically valid estimates of the effects of proximate determinants after adjusting for the background variables and unobserved random effects.
Abstract: Longer intervals between consecutive births decrease the number of children a woman can have. This results in beneficial effects on population size and on the health status of mothers and children. The general objective of this study was to model the birth intervals of adult women age 15-49 years old in Ethiopia and to identify the variable that af...
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