Influencing Factors of Mortality Among Adult HIV Patients Under Antiretroviral Therapy: The Case of Hossana Queen Elleni Mohammad Memorial Hospital, Ethiopia

Gobebo, Gizachew; Siffir, Alemayehu; Hailu, Belema; Woldeyohannes, Birhanu; Kefale, Bizunesh; Senbeto, Temesgen; Handiso, Adinew

doi:10.11648/j.sjcm.20211003.11

Cited by 2 publications

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“…The main limitation of this study that the EMDHS is mostly based on respondents' self-report and might have the possibility of recall bias. In addition, variables such as weight at birth [48,55,56], anemia status of mother [56][57][58], breastfeeding status of child [7,48,59], diarrhea [49,60,61], desire of pregnancy [62][63][64][65], employment status of mother [49,66,67], educational level of father [68][69][70] and maternal HIV status [71][72][73] were not included in the study due to large number of missing values/unavailability in the dataset.…”

Section: Strength and Limitations Of The Studymentioning

confidence: 99%

Zero-inflated Poisson regression analysis of factors associated with under-five mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data

Argawu,

Mekebo

2023

PLoS ONE

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Background Remarkable reduction in global under-five mortality has been seen over the past two decades. However, Ethiopia is among the five countries which account for about half (49%) of all under-five mortality worldwide. This study aimed at identifying factors associated with under-five children mortality in Ethiopia using the 2019 Ethiopia mini demography and health survey data. Methods The most recent national representative demography and health survey data of Ethiopia, 2019 Ethiopia mini demography and health survey data, were used for this study. Count data regression models were applied to identify the factors associated with under-five children mortality. Statistical significance was declared at P-value less than 0.05. Results Zero-Inflated Poisson (ZIP) regression model was found to be the best model compared to other count regression models based on models comparison Criteria. The ZIP model revealed that decreased risk of under-five mortality was associated with mothers aged 25–34 years, unmarried mothers, mothers delivered in health facility, mothers used Pill/IUD, mothers who had larger number of children at home whereas increased risk of under-five mortality was associated with older mothers at their first births, mothers from rural areas, mothers travel for 1–30 min and >30 min to get drinking water, mothers used charcoal and wood, children with higher birth order and multiple births. Conclusions In this study, place of residence, region, place of delivery, religion, age of mother, mother’s age at first birth, marital status, birth order, birth type, current contraceptive type used, type of cooking fuel, time to get drinking water, and number of children at home were statistically significant factors associated with under-five mortality in Ethiopia. Thus, the Ethiopian Ministry of Health and other concerned bodies are recommended to encourage mothers to deliver at health institutions, give awareness for mothers to use Pill/IUD contraceptive type, and facilitate rural areas to have electricity and drinking water near to homes so as to minimize the under-five mortality to achieve the sustainable development goal.

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Section: Strength and Limitations Of The Studymentioning

confidence: 99%

Zero-inflated Poisson regression analysis of factors associated with under-five mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data

Argawu,

Mekebo

2023

PLoS ONE

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“…Previous study identified different correlates of infant mortality like sex of child, breastfeeding status, size of child at birth, place of delivery, mother’s age at first birth, child’s birth order, type of birth, mother’s age, religion, maternal anaemia, maternal HIV, wealth index, mother’s educational level, diarrhoea, family size, residence, mother’s marital status, pregnancy type, region, mother’s educational level, ANC visit, source of drinking water, toilet facility, sex of household 10 – 29 .…”

Section: Introductionmentioning

confidence: 99%

Understanding correlates of infant mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data

Adebe,

Wake,

Yadata

et al. 2023

Annals of Medicine &Amp; Surgery

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Background: Infant mortality is one of the most sensitive and commonly used indicators of the social and economic development of a nation. Ethiopia is among the African countries with high infant mortality rates. This study aimed to understand and identify correlates of infant mortality in Ethiopia. Methods: The data, used in this study, were drawn from 2019 Ethiopian Demographic and Health Survey data. The multivariable Cox proportional hazard analysis was done to identify the correlates of infant mortality. Results: Infant mortality rate was high in the earlier age of months. Males, higher birth order and rural residences were at higher risk of dying before first birthday compared with respective reference groups whereas health facility deliveries, single births, rich wealth indices and older maternal age were at lower risk of dying before first birthday compared with respective reference groups. Conclusion: The study found that age of mother, place of residence, wealth index, birth order, type of birth, child sex and place of delivery were statistically significant in affecting the survival of the infants. Thus, health facility deliveries should be encouraged and multiple birth infants should be given special care. Furthermore, younger mothers should better care of their babies to improve the survival of infants in Ethiopia.

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Influencing Factors of Mortality Among Adult HIV Patients Under Antiretroviral Therapy: The Case of Hossana Queen Elleni Mohammad Memorial Hospital, Ethiopia

Cited by 2 publications

References 0 publications

Zero-inflated Poisson regression analysis of factors associated with under-five mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data

Zero-inflated Poisson regression analysis of factors associated with under-five mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data

Understanding correlates of infant mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data

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