2017
DOI: 10.1007/s10900-017-0321-z
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Gender Inequalities in Remote Settings: Analysis of 105,025 Medical Records of a Rural Hospital in Ethiopia (2005–2015)

Abstract: Gender inequalities in Sub-Saharan Africa are deemed relevant but data to support this view are scanty. Retrospective analysis of a large dataset of 105,025 patients admitted to an Ethiopian rural private, non-for-profit hospital over a 11 years period (2005-2015). Since 2001, the hospital and the local community are involved in a long-term, comprehensive and externally-supported health care intervention. The total number of admissions was higher for females (61.9% of the total) mainly because of the high freq… Show more

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Cited by 3 publications
(3 citation statements)
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“…One structural example of structural gender disparities can be found in the rates of hospital admissions. In high-income countries, the gender ratio for overnight hospital stays and emergency medical admissions is nearly equivalent [ 11 14 ]. Women in low- and middle-income countries (LMICs) present less frequently in similar medical circumstances, with studies reporting male-to-female ratios of 2.2 for emergency abdominal surgeries and 1.4 for general admissions, excluding obstetric care [ 15 , 16 ].…”
Section: Introductionmentioning
confidence: 99%
“…One structural example of structural gender disparities can be found in the rates of hospital admissions. In high-income countries, the gender ratio for overnight hospital stays and emergency medical admissions is nearly equivalent [ 11 14 ]. Women in low- and middle-income countries (LMICs) present less frequently in similar medical circumstances, with studies reporting male-to-female ratios of 2.2 for emergency abdominal surgeries and 1.4 for general admissions, excluding obstetric care [ 15 , 16 ].…”
Section: Introductionmentioning
confidence: 99%
“…Malaria awareness, exposure behaviors and preventive measures were assessed using a specific questionnaire based on malaria toolkit materials [ 13 ] and other previous studies conducted in Africa, and specifically in Ghana [ 5 , 14 , 15 , 16 ]. The questionnaire addressed: (i) composition of the household; (ii) literacy; (iii) occupation, with reference to malaria exposure risk; (iv) availability of bed nets in the household and their use, (v) general malaria preventive measures; (vi) attitude towards self-initiated medication; (vii) the household tasks which might lead to exposure to mosquito bites, and the decision-making process when needing to access health services were also investigated; along with (viii) household composition; (ix) house building materials; (x) water sanitation services; (xi) general economic status; and (xii) different mosquito breeding habitats.…”
Section: Methodsmentioning
confidence: 99%
“…The case-control study aimed to investigate malaria awareness amongst malaria cases (cases) and in a sample of healthy subjects (controls), a speci c questionnaire was designed based on malaria toolkit materials (31) and other previous studies conducted in Africa and speci cally in Ghana. (12,(32)(33)(34). The questionnaire addressed : (i) composition of the household, (ii) literacy, (iii) occupation, with reference to malaria exposure risk, (iv) availability of bed nets in the household and their use, (v) general malaria preventive measures (vi) and attitude towards self-initiated medication; (vi) the household tasks which might lead to exposure to mosquito bites, and the decision-making process when needing to access health services were also investigated, along with (vii) household composition, (viii) house building materials, (ix) water sanitation services, (x) general economic status and (xi) different mosquito breeding habitats.…”
Section: Quantitative Methodsmentioning
confidence: 99%