scholarly journals A Multilevel Analysis of Factors Associated with Childhood Diarrhea in Ethiopia

2021 ◽  
Vol 15 ◽  
pp. 117863022110098
Author(s):  
Biniyam Sahiledengle ◽  
Zinash Teferu ◽  
Yohannes Tekalegn ◽  
Demisu Zenbaba ◽  
Kenbon Seyoum ◽  
...  
Keyword(s):  
Data Analysis ◽  
Formal Education ◽  
National Level ◽  
Secondary Data ◽  
Childhood Diarrhea ◽  
Contributing Factors ◽  
Lower Odds ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
The Individual

Background: Childhood diarrhea is the major contributor to the deaths of children under the age of 5 years in Ethiopia, but evidence at the national level to identify the contributing factors associated with diarrhea by considering the clustering effects is limited. Hence, this study aimed to identify factors associated with childhood diarrhea at the individual and community levels. Methods: A secondary data analysis was conducted using the 2011 and 2016 Ethiopian Demographic and Health Survey (EDHS) data. A total of 23 321 children with their mothers were included in this study, and multilevel logistic regression models were applied for the data analysis. Results: The odds of diarrhea among female children were 13% lower (AOR = 0.87; 95% CI: 0.79-0.94) compared with male children. The odds of diarrhea among children aged between 13 and 24 months were 31% higher than (AOR = 1.31; 95% CI: 1.17-1.47) their younger counter parts. Children aged ⩾25 months (AOR = 0.50; 95% CI: 0.45-0.56), those whose mothers were unemployed (AOR = 0.79; 95% CI: 0.73-0.87), and children live in households between 2 and 3 under-5 children (AOR = 0.87; 95% CI: 0.79-0.96) were associated with lower odds of experiencing diarrhea. The odds of diarrhea among children whose mother had no formal education were 49% higher than (AOR = 1.49; 95% CI: 1.08-2.07) their counterparts. Besides, children residing in city administrations (AOR = 0.69; 95% CI: 0.58-0.82) had lower odds of experiencing diarrhea than children living in agrarian regions. Conclusions: At the individual level (sex and age of the child, mother’s employment status, and educational level, and the number of under-5 children) and the community-level (contextual region) were found to be significant factors associated with childhood diarrhea in Ethiopia.

scholarly journals A secondary data analysis of qualitative study of individualized treatment regimen for North Indians living with human immunodeficiency virus-1

2021 ◽  
Author(s):  
Sushanta Kumar Barik ◽  
Avi Kumar Bansal ◽  
Ashwini Yadav ◽  
Srikanth Prasad Tripathy ◽  
Tej Pal Singh ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Data Analysis ◽  
Secondary Data ◽  
First Line ◽  
Cd4 Counts ◽  
Viral Loads ◽  
Indian Patients ◽  
Resistance Patterns ◽  
Endpoint Data ◽  
The Individual

Abstract The follow-up of fifty-seven patients were conducted after a confirmation genotyping test. The secondary data analysis was done on the data available to observe the correlation between the CD4 counts and viral loads (One of the markers of clinical outcome) of the individual North Indian patients infected with HIV-1 Subtype C. The drug resistance mutations in individual patient were analysed through the drug resistance database, Stanford University, USA. The data of resistance associated with drugs, CD4 counts, viral loads of the individual patient was compiled and statistically analysed for drug resistance pattern profiles using Microsoft Excel 2016 and SPSS Version 22. The normality of data was checked by Shapiro-Wilk test (p<0.05). The study starting and endpoint data on CD4 counts, viral loads and drug resistance patterns associated with multiple first-line ART was available for 24 north Indian patients. The starting and study endpoint data on CD4 counts and drug resistance patterns associated with multiple first- line ART was available for 33 North Indian patients. The study indicative that the recommendation of policy to provide a tailor-made individualized regimen to each patient under AIDS control program.

TP6.1.9 Prolonged post-operative stay following emergency and elective laparoscopic cholecystectomies and its contributing factors

2021 ◽  
Vol 108 (Supplement_7) ◽  
Author(s):  
James Lucocq ◽  
Ganesh Radhakishnan ◽  
John Scollay ◽  
Pradeep Patil
Keyword(s):  
Laparoscopic Cholecystectomy ◽  
Gallstone Disease ◽  
Contributing Factors ◽  
Surgical Decision ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Surgical Units ◽  
Emergency Group ◽  
Elective Group ◽  
Heterogenous Population

Abstract Aims Patients who undergo laparoscopic cholecystectomy (LC) for gallstone disease are a heterogenous population with many variables involved in their management. The aim was to identify the proportion of patients who have a prolonged post-operative stay (PPS; &gt;3days) following elective and emergency LC and the variables that most contribute to PPS. Methods We retrospectively collected data for all patients who underwent an elective and emergency LC across three surgical units from 2015 to 2020. Rates of PPS were compared between elective and emergency groups and variables associated with PPS were identified using multivariate logistic regression models. Results 2769 patients were included in the study (median age, 53years(range, 13-92); M:F,1:2.7; emergency:elective,1:3.6) The rate of PPS was higher in the emergency versus elective group (25.1% versus 6.6%; p&lt;0.0001). Pain was one of the major causes in both groups. In the elective group, factors associated with PPS included cholecystitis (OR,1.96; p=0.008), previous gallstone related admissions (OR,1.48; p=0.008), pre-operative ERCP (OR,3.58;p&lt;0.0001), ASA (OR,1.82; p=0.001) and age (years) (OR,1.03;p=0.001). In the emergency group, factors associated with PPS include cholecystitis (OR,5.3;p&lt;0.0001), ASA (OR,1.96; p = 0.01) and pre-operative ERCP (OR,4.44;p=0.001). Conclusions The rate of PPS following laparoscopic cholecystectomy is significant, particularly in the emergency group. Although the possibility of PPS cannot be avoided, patient information regarding the possibility of PPS is important, particularly for those at risk. The risk factors for PPS should be used to guide surgical decision making and should be followed by targeted management of these patients including optimised pain relief.

Factors Associated With Living in Developmental Centers in California

2009 ◽  
Vol 47 (2) ◽  
pp. 108-124 ◽  
Author(s):  
Charlene Harrington ◽  
Taewoon Kang ◽  
Jamie Chang
Keyword(s):  
Intellectual Disability ◽  
Developmental Disabilities ◽  
Living Arrangements ◽  
Secondary Data ◽  
The Elderly ◽  
Older Individuals ◽  
Complex Needs ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
At Home

Abstract This study examined need, predisposing, market, and regional factors that predicted the likelihood of individuals with developmental disabilities living in state developmental centers (DCs) compared with living at home, in community care, or in intermediate care (ICFs) and other facilities. Secondary data analysis using logistic regression models was conducted for all individuals ages 21 years or older who had moderate, severe, or profound intellectual disability. Client needs were the most important factors associated with living arrangements, with those in DCs having more complex needs. Men had higher odds of living in DCs than in other settings, whereas older individuals had lower odds of living in DCs than in ICFs for persons with developmental disabilities and other facilities. Asians/Pacific Islanders, African Americans, and Hispanics were less likely to live in DCs than to live at home. The supply of residential care beds for the elderly reduced the likelihood of living in DCs, and the odds of living in a DC varied widely across regions. Controlling for need, many other factors predicted living arrangements. Policymakers need to ensure adequate resources and provider supply to reduce the need by individuals with intellectual disability to live in DCs and to transition individuals from DCs into other living arrangements.

scholarly journals FACTORS THAT INFLUENCE PSYCHOTROPIC MEDICATION USE

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S558-S558
Author(s):  
Barbara Resnick ◽  
Elizabeth Galik
Keyword(s):  
Cognitive Impairment ◽  
Data Analysis ◽  
Antipsychotic Medication ◽  
Psychotropic Medication ◽  
Medication Use ◽  
Secondary Data ◽  
Behavioral Symptoms ◽  
Factors Associated ◽  
Resistiveness To Care ◽  
N 93

Abstract Understanding the factors that influence psychotropic can guide reduction in use of these medications. This study described predictors of psychotropics use among residents with moderate to severe cognitive impairment. This was a secondary data analysis using baseline data from the first 341 residents in the EIT-4-BPSD trial. Predictive measures included demographics, agitation, resistiveness to care, depression, cognition, pain, facility factors and state. Overall 63% (n=211) received at least one psychotropic medication, 16% (n=52) an anti-seizure medication, 23% (n=77) an anxiolytic, 30% (n=99) an antidepressant, 2% (n=8) a sedative hypnotic, 28% (n=93) an antipsychotic medication, and 9% (n=29) an opioid. Model testing explained 9 to 15% of psychotropic medication use. There were high rates of psychotropic medication use and a limited association between demographic factors, behavioral symptoms, and psychotropic medication use. Continued research is needed to explore additional factors associated with psychotropic medication use such as beliefs of providers.

scholarly journals Prevalence and factors associated with childhood diarrheal disease and acute respiratory infection in Bangladesh: An analysis of a nationwide cross-sectional survey

2021 ◽  
Author(s):  
Satyajit Kundu ◽  
Subarna Kundu ◽  
Md. Hasan Al Banna ◽  
Bright Opoku Ahinkorah ◽  
Abdul-Aziz Seidu ◽  
...  
Keyword(s):  
Formal Education ◽  
Diarrheal Disease ◽  
Secondary Data ◽  
Population Level ◽  
Household Wealth ◽  
Cross Sectional Survey ◽  
Normal Children ◽  
Cross Sectional ◽  
Factors Associated ◽  
Nationally Representative

Abstract Objectives: This study aimed to estimate the prevalence of CDDs and ARIs and also to determine the factors associated with these conditions at the population level in Bangladesh.Setting: The study entailed an analysis of nationally representative cross-sectional secondary data from the most recent Bangladesh Demography and Health Survey (BDHS) data conducted in 2017–2018.Participants: A total of 7222 children < 5 years old for CDDs, and 7215 children aged below 5 years for ARIs during the survey from mothers aged between 15 to 49 years are the participants of this study.Results: The overall prevalence of CDD and ARI among children < 5 years old were found to be 4.91% and 3.03%, respectively. Younger children were more likely to develop both CDDs and ARIs compared to their older counterparts. Children belonging to households classified as poorest (aOR = 2.414, 95% CI (1.091 to 5.341)) and with unimproved floor materials (aOR = 1.821, 95% CI (1.145 to 2.896)) had a higher prevalence of diarrhea than those from households identified as richest and with improved floor material, respectively. Stunted children had 40.8% higher odds of diarrhea than normal children (aOR = 1.408, 95% CI (1.055 to 1.879)). Male children were 48.9% more likely to develop ARI than female children (aOR = 1.489, 95% CI (1.132 to 1.960)). Children of mothers aged below 20 years had 2 times higher odds of ARI compared to children of mothers aged 20 to 34 years (aOR = 2.166, 95% CI (1.403 to 3.344)). Children whose mothers had no formal education or had primary and secondary education had higher odds of ARI compared to children of mothers having higher education.Conclusion: Programs targeting children aged below 23 months should be designed and emphasis should be given to addressing barriers to mother’s education and household wealth to reduce CDDs and ARIs.

PENGARUH KARAKTERISTIK INDIVIDU DAN KOMPETENSI PEGAWAI TERHADAP KEPUASAN PELAYANAN PADA MASYARAKAT (STUDI KASUS PADA KANTOR URUSAN AGAMA KECAMATAN SUNGAI PENUH )

2020 ◽  
Author(s):  
Dwi Handayani
Keyword(s):  
Data Analysis ◽  
Community Service ◽  
Secondary Data ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Individual Characteristics ◽  
Service Satisfaction ◽  
Primary Data ◽  
Employee Competencies ◽  
The Individual

The research is proposed to test the influence of individual characteristics and employee competencies on community service satisfaction. The population in this study was the Sungai Penuh City community who had received the last 1 year service at the Kantor Urusan Agama Kecamatan Sungai Penuh, amounting to 150 people. Furthermore, by using the Slovin formula, a sample size of 110 people was chosen with a sampling technique based on Simple Random Sampling. This study uses primary data and secondary data. Data analysis techniques used are path analysis and hypothesis testing using t test with data analysis using SPSS version 20. The results of the study based on showing that partially the individual characteristics and competence of employees have a positive and significant effect on community service satisfaction. The results also show that employee competency variables act as intervening variables between individual characteristics and community service satisfaction.

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