A bootstrap version of the Hausman test to assess the impact of cluster-level endogeneity beyond the random intercept model

Background Soil transmitted helminths (STH) are a common infection among pregnant women in areas with poor access to sanitation. Deworming medications are cheap and safe; however, the health benefit of deworming during pregnancy is not clear. Methods / Principal findings We created a retrospective cohort of more than 800,000 births from 95 Demographic and Health Survey datasets to estimate the impact of deworming medicine during routine antenatal care (ANC) on neonatal mortality and low birthweight. We first matched births on the probability of receiving deworming during ANC. We then modeled the birth outcomes with the matched group as a random intercept to estimate the effect of deworming during antenatal care after accounting for various risk factors. We also tested for effect modification of soil transmitted helminth prevalence on the impact of deworming during ANC. Receipt of deworming medication during ANC was associated with a 14% reduction in the risk of neonatal mortality (95% confidence interval = 10–17%, n = 797,772 births), with no difference between high and low transmission countries. In low transmission countries, we found an 11% reduction in the odds of low birth weight (95% confidence interval = 8–13%) for women receiving deworming medicine, and in high transmission countries, we found a 2% reduction in the odds of low birthweight (95% confidence interval = 0–5%). Conclusions / Significance These results suggest a substantial health benefit for deworming during ANC that may be even greater in countries with low STH transmission.

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Abstract 13150: Racial/Ethnic Disparities of the Impact of the COVID-19 Pandemic Out-of-Hospital Cardiac Arrest (OHCA) in Texas

Circulation ◽

10.1161/circ.144.suppl_2.13150 ◽

2021 ◽

Vol 144 (Suppl_2) ◽

Author(s):

Summer Chavez ◽

Ryan Huebinger ◽

Kevin Schulz ◽

Hei Kit Chan ◽

Micah Panczyk ◽

...

Keyword(s):

Cardiac Arrest ◽

Hospital Admission ◽

Minority Groups ◽

Ethnic Disparities ◽

Mixed Effect ◽

Neurological Outcomes ◽

Random Intercept ◽

Hispanic Patients ◽

The Impact ◽

Racial Ethnic

Introduction: Prior research shows a greater disease burden, lower BCPR rates, and worse outcomes in Black and Hispanic patients after OHCA. The CDC has declared that the COVID-19 pandemic has disproportionately affected many racial and ethnic minority groups. However, the influence of the COVID-19 pandemic on OHCA incidence and outcomes in different races and ethnicities is unknown. Purpose: To describe racial/ethnic disparities in OHCA incidence, processes of care and outcomes in Texas during the COVID-19 pandemic. Methods: We used data from the Texas Cardiac Arrest Registry to Enhance Survival (CARES) comparing adult OHCA from the pre-pandemic period (March 11 - December 31, 2019) to the pandemic period (March 11- December 31, 2020). The racial and ethnic categories were White, Black, Hispanic or Other. Outcomes were rates of BCPR, AED use, sustained ROSC, prehospital termination of resuscitation (TOR), survival to hospital admission, survival to discharge and good neurological outcomes. We fit a mixed effect logistic regression model, with EMS agency designated as the random intercept to obtain aORs. We adjusted for the pandemic and other covariates. Results: A total of 8,070 OHCAs were included. The proportion of cardiac arrests increased for Blacks (903 to 1, 113, 24.9% to 25.5%) and Hispanics (935 to 1,221, 25.8% to 27.5%) and decreased for Whites (1 595 to 1,869, 44.0% to 42.1%) and Other (194 to 220, 5.4% to 5.0%) patients. Compared to Whites, Black (aOR = 0.73, 95% CI 0.65-0.82) and Hispanic patients (aOR = 0.78, 95% CI 0.68-0.87) were less likely to receive BCPR. Compared to Whites, Blacks were less likely to have sustained ROSC (aOR = 0.81, 95% CI 0.70-0.93%), with lower rates of survival to hospital admission (aOR = 0.87, 95% CI 0.75-1.0), and worse neurological outcomes (aOR = 0.45, 95% 0.28-0.73). Hispanics were less likely to have prehospital TOR compared to Whites (aOR = 0.86, 95% CI = 0.75-0.99). The Utstein bystander survival rate was worse for Blacks (aOR = 0.72, 95% CI 0.54-0.97) and Hispanics (aOR = 0.71, 95% 0.53-0.95) compared to Whites. Conclusion: Racial and ethnic disparities persisted during the COVID-19 pandemic in Texas.

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Environmental policy performance and its determinants: Application of a three-level random intercept model

Energy Policy ◽

10.1016/j.enpol.2017.11.053 ◽

2018 ◽

Vol 114 ◽

pp. 134-144 ◽

Cited By ~ 6

Author(s):

Marzio Galeotti ◽

Yana Rubashkina ◽

Silvia Salini ◽

Elena Verdolini

Keyword(s):

Environmental Policy ◽

Policy Performance ◽

Random Intercept ◽

Random Intercept Model

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The change of Barthel Index scores from the time of discharge until 3-month post-discharge among acute stroke patients in Malaysia: A random intercept model

PLoS ONE ◽

10.1371/journal.pone.0208594 ◽

2018 ◽

Vol 13 (12) ◽

pp. e0208594 ◽

Cited By ~ 6

Author(s):

Kamarul Imran Musa ◽

Thomas J. Keegan

Keyword(s):

Acute Stroke ◽

Barthel Index ◽

Stroke Patients ◽

Post Discharge ◽

Random Intercept ◽

Random Intercept Model

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Work–retirement cultures: a further piece of the puzzle to explain differences in the labour market participation of older people in Europe?

Ageing and Society ◽

10.1017/s0144686x17000125 ◽

2017 ◽

Vol 38 (8) ◽

pp. 1527-1555 ◽

Cited By ~ 6

Author(s):

ANDREAS JANSEN

Keyword(s):

Older People ◽

Labour Market ◽

European Social Survey ◽

Market Participation ◽

Economic Determinants ◽

Legal Rules ◽

Random Intercept ◽

Labour Market Participation ◽

The Individual ◽

The Impact

ABSTRACTThe article examines to what extent culture is a further piece of the puzzle to explain differences in the labour market participation of older people in Europe. This approach is in clear contrast to the existing literature on that topic which is largely economically oriented and more focused on socio-economic determinants. In the first part, different theoretical conceptions regarding the impact of culture on individual actions are discussed with the aim of developing the concept of work–retirement cultures. In the second part, the article gathers empirical evidence on differences in the work–retirement culture in 22 European societies and analyses the interplay between the work–retirement culture and the labour market participation of people aged between 55 and 64 years using logistic random intercept regression analysis. The analysis draws on the third round of the European Social Survey. The results give some clear indications that the work–retirement culture plays its part in explaining differences in the labour market participation of older people in Europe and thus clarifies that the timing of retirement is not fully determined by pension policies. Accordingly, the results of the study illustrate that it is not sufficient to solely change the legal rules for the transition to retirement. Rather, people need to be additionally convinced of the individual benefits of remaining in employment.

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Multilevel Analysis of Determinants of Anemia Prevalence among Children Aged 6–59 Months in Ethiopia: Classical and Bayesian Approaches

Anemia ◽

10.1155/2018/3087354 ◽

2018 ◽

Vol 2018 ◽

pp. 1-13 ◽

Cited By ~ 10

Author(s):

Kemal N. Kawo ◽

Zeytu G. Asfaw ◽

Negusse Yohannes

Keyword(s):

Public Health ◽

Drinking Water ◽

Multilevel Analysis ◽

Health Problem ◽

Public Health Problem ◽

Wealth Index ◽

Bayesian Approaches ◽

Random Intercept ◽

Random Intercept Model ◽

Prevalence Of Anemia

Background. Anemia is a widely spread public health problem and affects individuals at all levels. However, there is a considerable regional variation in its distribution. Objective. Thus, this study aimed to assess and model the determinants of prevalence of anemia among children aged 6–59 months in Ethiopia. Data. Cross-sectional data from Ethiopian Demographic and Health Survey was used for the analysis. It was implemented by the Central Statistical Agency from 27 December 2010 through June 2011 and the sampling technique employed was multistage. Method. The statistical models that suit the hierarchical data such as variance components model, random intercept model, and random coefficients model were used to analyze the data. Likelihood and Bayesian approaches were used to estimate both fixed effects and random effects in multilevel analysis. Result. This study revealed that the prevalence of anemia among children aged between 6 and 59 months in the country was around 42.8%. The multilevel binary logistic regression analysis was performed to investigate the variation of predictor variables of the prevalence of anemia among children aged between 6 and 59 months. Accordingly, it has been identified that the number of children under five in the household, wealth index, age of children, mothers’ current working status, education level, given iron pills, size of child at birth, and source of drinking water have a significant effect on prevalence of anemia. It is found that variances related to the random term were statistically significant implying that there is variation in prevalence of anemia across regions. From the methodological aspect, it was found that random intercept model is better compared to the other two models in fitting the data well. Bayesian analysis gave consistent estimates with the respective multilevel models and additional solutions as posterior distribution of the parameters. Conclusion. The current study confirmed that prevalence of anemia among children aged 6–59 months in Ethiopia was severe public health problem, where 42.8% of them are anemic. Thus, stakeholders should pay attention to all significant factors mentioned in the analysis of this study but wealth index/improving household income and availability of pure drinking water are the most influential factors that should be improved anyway.

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