scholarly journals A multilevel analysis of the determinants of handwashing behavior among households in Eswatini: a secondary analysis of the 2014 multiple indicator cluster survey

2020 ◽  
Vol 20 (4) ◽  
pp. 1996-2006
Author(s):  
Maswati S Simelane
Keyword(s):  
Logistic Regression ◽  
Mass Media ◽  
Secondary Analysis ◽  
Multilevel Logistic Regression ◽  
Cluster Survey ◽  
Toilet Facility ◽  
Multiple Indicator Cluster Survey ◽  
Multiple Indicator ◽  
Pit Latrine ◽  
Handwashing With Soap

Introduction: Handwashing with soap has received considerable attention due to its importance in the prevention and inter- ruption of the transmission of diseases. Regardless of the positive effects of handwashing with soap, developing countries still have a low rate of handwashing. Objective: The study aimed to determine the individual, household and community-level factors associated with handwash- ing behavior among households in Eswatini. Methods: Using the Eswatini Multiple Indicator Cluster Survey conducted in 2014, a secondary analysis was done of the households surveyed. A total of 1,520 households nested in communities with complete data on handwashing practices were included in the analysis. Univariate, bivariate analysis and multivariate multilevel logistic regression were used to estab- lish the factors that were associated with handwashing behavior. Results: The prevalence of handwashing among households was 56% in 2014. Households whose heads were aged 35-54 and 55 years and older were more likely to practice handwashing (AOR=1.88, 95% CI:1.39, 2.54); and (AOR=1.77, 95% CI: 1.205, 2.62) compared to those aged 15-34 years. Households with a pit latrine or no toilet facility at all, were less likely to practice handwashing (AOR=0.24, 95% CI: 0.17, 0.35); (AOR=0.28, 95% CI: 0.11, 0.71) respectively compared to those with a flush toilet. Region of residence was a community-level variable associated with lower odds of handwashing, with those from the Hhohho (AOR=0.22, 95% CI: 0.14, 0.35) and Manzini region (AOR=0.42, 95% CI: 0.27, 0.67) compared to Lubombo region. Households from communities where access to mass media was high were more likely to practice handwashing (AOR =1.47, 95% CI: 1.05, 2.03) compared to those from communities where access to mass media was low. Conclusion: Households headed by young adults, with pit latrine or no toilet facility at all and lived in the Hhohho and Manzini regions and with low access to mass media, should be targeted for interventions aimed at improving handwashing practices. Keywords: Handwashing; factors; Eswatini; households; multilevel logistic regression.

scholarly journals Predictors of health insurance enrolment and wealth-related inequality in Nepal: evidence from Multiple Indicator Cluster Survey (MICS) 2019

BMJ Open ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. e050922
Author(s):  
Umesh Prasad Bhusal ◽  
Vishnu Prasad Sapkota
Keyword(s):  
Health Insurance ◽  
Mass Media ◽  
Household Head ◽  
Health Coverage ◽  
Wealth Status ◽  
Cluster Survey ◽  
Related Inequality ◽  
Multiple Indicator Cluster Survey ◽  
Inequality In Health ◽  
Multiple Indicator

ObjectivesWe analysed predictors of health insurance enrolment in Nepal, measured wealth-related inequality and decomposed inequality into its contributing factors.DesignCross-sectional study.SettingWe used nationally representative data based on Nepal Multiple Indicator Cluster Survey 2019. Out of 10 958 households included in this study, 6.95% households were enroled in at least one health insurance scheme.Primary outcomemeasures health insurance (of any type) enrolment.ResultsHouseholds were more likely to have health insurance membership when household head have higher secondary education or above compared with households without formal education (adjusted OR 1.87; 95% CI: 1.32 to 2.64)). Households with mass media exposure were nearly three times more likely to get enroled into the schemes compared with their counterparts (adjusted OR 2.96; 95% CI 2.03 to 4.31). Hindus had greater odds of being enroled (adjusted OR 1.82; 95% CI 1.20 to 2.77) compared with non-Hindus. Dalits were less likely to get enroled compared with Brahmin, Chhetri and Madhesi (adjusted OR 0.66; 95% CI 0.47 to 0.94). Households from province 2, Bagmati and Sudurpaschim were less likely to have membership compared with households from province 1. Households from Richer and Richest wealth quintiles were more than two times more likely to have health insurance membership compared with households from the poorest wealth quintile. A positive concentration index 0.25 (95% CI 0.21 to 0.30; p<0.001) indicated disproportionately higher health insurance enrolment among wealthy households.ConclusionsEducation of household head, exposure to mass media, religious and ethnic background, geographical location (province) and wealth status were key predictors of health insurance enrolment in Nepal. There was a significant wealth-related inequality in health insurance affiliation. The study recommends regular monitoring of inequality in health insurance enrolment across demographic and socioeconomic groups to ensure progress towards Universal Health Coverage.

ASSOCIATION OF SOCIO-DEMOGRAPHIC FACTORS WITH DIARRHEA IN CHILDREN LESS THAN FIVE YEARS: A SECONDARY ANALYSIS OF MULTIPLE INDICATOR CLUSTER SURVEY SINDH 2014

1970 ◽  
Vol 7 (2) ◽  
pp. 85-89
Author(s):  
Muhammad Irfan ◽  
Syed Mustansir Hussain Zaidi ◽  
Hira Fatima Waseem
Keyword(s):  
Rural Areas ◽  
Demographic Factors ◽  
Wealth Index ◽  
Household Wealth ◽  
Cluster Survey ◽  
Multiple Indicator Cluster Survey ◽  
Increased Risk ◽  
Multiple Indicator ◽  
Mother Education ◽  
Socio Demographic Factors

Background: Diarrhea founds to be the major cause of morbidity and mortality in children less than five years. Various factors are associated with diarrhea but socio-demographic factors are the main key elements, which associated with diarrhea. Methods: This study was examined association of socio-demographic factors with diarrhea in children less than five years of age of Sindh, Pakistan, using data from the Multiple Indicator Cluster Survey (MICS) conducted from January 2014 to August 2014. Data were collected for 18,108 children in whom 16,449 children had complete data of demographic variables being included in the analysis. Bivariate analysis was done using Pearson's Chi square test and multivariate analysis being done using binary logistic regression. Results: We found increased risk of diarrhea among children lives in rural areas while household wealth index quintile was also associated with diarrhea. Children in the poor, middle and fourth wealth index quintiles being at increased risk of diarrhea compared to children in the richest wealth index quintile. The highest risk of diarrhea was found for the child having mother with no education as well as children aged 12-23 months. Conclusion: Age of child, mother education and wealth index found significant with diarrhea while Male children, child aged 12-23 months, child with no mother education, child from rural areas and child from poor households found with high risk of diarrhea.

scholarly journals Sociodemographic factors and early marriage among women in Bangladesh, Ghana and Iraq: An illustration from Multiple Indicator Cluster Survey

Heliyon ◽  
2021 ◽  
Vol 7 (5) ◽  
pp. e07111
Author(s):  
Ahmed Abdus Saleh Saleheen ◽  
Sharmin Afrin ◽  
Samia Kabir ◽  
Md. Jakaria Habib ◽  
Maliha Afroj Zinnia ◽  
...  
Keyword(s):  
Sociodemographic Factors ◽  
Early Marriage ◽  
Cluster Survey ◽  
Multiple Indicator Cluster Survey ◽  
Multiple Indicator

scholarly journals Correlates of child functional difficulties status in Ghana: A further analysis of the 2017/18 multiple indicator cluster survey

Heliyon ◽  
2020 ◽  
Vol 6 (12) ◽  
pp. e05727
Author(s):  
Nutifafa Eugene Yaw Dey ◽  
Emmanuel Dziwornu ◽  
Kwabena Frimpong-Manso ◽  
Henry Ofori Duah ◽  
Pascal Agbadi
Keyword(s):  
Cluster Survey ◽  
Functional Difficulties ◽  
Multiple Indicator Cluster Survey ◽  
Multiple Indicator

scholarly journals The Role of Sociodemographic and Psychosocial Variables in Early Childhood Development: A Secondary Data Analysis of the 2014 Multiple Indicator Cluster Survey in the Dominican Republic

2021 ◽  
Author(s):  
Laura V. Sánchez-Vincitore ◽  
Arachu Castro
Keyword(s):  
Early Childhood ◽  
Dominican Republic ◽  
Early Childhood Development ◽  
Childhood Development ◽  
Developmental Potential ◽  
Cluster Survey ◽  
Multiple Indicator Cluster Survey ◽  
Psychosocial Model ◽  
Multiple Indicator ◽  
At Home

AbstractIntroductionThe association between sociodemographic factors, such as poverty, lack of maternal schooling, and being male at birth, and childhood developmental delay and poor educational outcomes has been established in the Dominican Republic. However, moderating factors present or introduced in families to buffer the effects of such factors on childhood development are still unknown.MethodsWe conducted a secondary analysis of the 2014 Multiple Indicator Cluster Survey for the Dominican Republic, a national household survey focused on maternal and child health and development. The first aim of our study was to determine if a sociodemographic model predicted early childhood development. The second aim was to determine if a psychosocial model (including family childrearing practices, discipline, and early childhood stimulation) predicted early childhood development above and beyond the sociodemographic model.ResultsWe found that both models predicted childhood development significantly, but that the psychosocial model explained 5% more variance than the sociodemographic model. The most relevant sociodemographic predictors were socioeconomic position and mother’s education, which uniquely explained 21% and 17% of the early childhood development variance, respectively. The most salient psychosocial predictors of early childhood development were: 1) attendance to an early childhood education program, which uniquely explained 15.0% of the variance; 2) negative discipline, which uniquely explained 12.4% (negative impact); 3) the number of children’s books at home, which uniquely explained 12.0%; and 4) stimulating activities at home, which uniquely explained 5%.ConclusionThese results have multiple implications for social programs that aim to improve children’s developmental potential in contexts of poverty. Although the results show a protective effect of psychosocial factors, sustainable and large-scale intervention should not be limited to just buffering effects, but to actually solve the underlying problem which is that poverty prevents children from reaching their developmental potential.

Profil epidemiologique de Wangata,VIH

2020 ◽  
Author(s):  
Max Ebengho Bokelo
Keyword(s):  
Cluster Survey ◽  
République Démocratique Du Congo ◽  
Multiple Indicator Cluster Survey ◽  
Multiple Indicator ◽  
Virus De L’Immunodéficience Humaine

En juin 2006, une étude analytique transversale de séroprévalence au Virus de l’Immunodéficience Humaine (VIH) a été initiée au sein du Centre Nutritionnel Thérapeutique (CNT) de l’Hôpital Général de Référence (HGR) de Wangata dans la Province de l’Equateur en République Démocratique du Congo (RDC). Le but de cette enquete était de chercher les possibles signaux existants de l’Infection à VIH sur terrain de malnutrition sévère auprès des enfants de Mbandaka, en collaboration avec la Coordination Provinciale de l’Equateur du Programme National de Lutte contre le VIH-Sida (CP-PNLS). Cette étude s’est basée sur les résultats obtenus suite aux tests volontaires qualitatifs, en se servant de l’algorithme décisionnel de laboratoire du PNLS de 2006 en RDC, qui veut que ces 42 personnes sur lesquelles notre analyse s’est axée soient classifiées dans la catégorie 2. L’étude a tablé sur au moins 2 tests rapides de dépistage, dont le Détermine, un test sensible et l’Oraquick comme test spécifique. Les résultats obtenus suggèrent que deux enfants de sexe féminin sur les 23 filles en compte avaient un statut sérologique positif, et deux autres également présentaient un résultat indéterminé. La prévalence instantanée était donc de 4,76% pour les enfants malnutris de juin 2006 au CNT de Wangata. Par ailleurs, le Ministère du Plan et de la Reconstruction (MPR) (2018) via le Multiple Indicator Cluster Survey 2001 rapportait une séroprévalence de 6,1% pour la ville de Mbandaka. Ces deux prévalences restent inférieures à 10% et tournent autour des résultats précédents de prévalence tant provinciale que Nationale qui était de plus ou moins 5% (MPR, 2018). Selon Gerstman (2015) dans les choix statistiques tabulaires, il est établi lors de cette étude que les résultats au test sont repartis de façon homogène dans les deux sexes, car avec 1,734 de probabilité calculée comme X², cette valeur étant inférieure à 7,879 de probabilité tabulaire. Par contre les résultats dépendent étroitement du type de test utilize, parce que le CHI-carré (X²) d’indépendance supérieur ou égal à 18,869 est moins significatif que le petit p 0,005 à 7,879 .

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